Against the backdrop of digital technology and the industrial revolution, the Internet of Things has become the most influential and disruptive of all the latest technologies. As an advanced technology, IoT is showing a palpable difference in how businesses operate. 

Although the Fourth Industrial Revolution is still in its infancy, early adopters of this advanced technology are edging out the competition with their competitive advantage. 

Businesses eager to become a part of this disruptive technology are jostling against each other to implement IoT solutions. Yet, they are unaware of the steps in effective implementation and the challenges they might face during the process. 

This is a complete guide– the only one you’ll need – that focuses on delivering effective and uncomplicated IoT implementation. 

Key Elements of IoT

There are three main elements of IoT technology:

• Connectivity:

IoT devices are connected to the internet and have a URI – Unique Resource Identifier – that can relay data to the connected network. The devices can be connected among themselves to a centralized server, a cloud, or a network of servers.

• Data Communication:

IoT devices continuously share data with other devices in the network or the server. 

• Interaction

IoT devices do not simply gather data. They transmit it to their endpoints or server. There is no point in collecting data if it is not put to good use. The collected data is used to deliver IoT smart solutions in automation, take real-time business decisions, formulate strategies, or monitor processes. 

How Does IoT work?

IoT devices have URI and come with embedded sensors. With these sensors, the devices sense their environment and gather information. For example, the devices could be air conditioners, smart watches, cars, etc. Then, all the devices dump their collected data into the IoT platform or gateway. 

The IoT platform then performs analytics on the data from various sources and derives useful information per the requirement. 

What are the Layers in IoT Architecture?

Although there isn’t a standard IoT structure that’s universally accepted, the 4-layer architecture is considered to be the basic form. The four layers include perception, network, middleware, and application.

• Perception:

Perception is the first or the physical layer of IoT architecture. All the sensors, edge devices, and actuators gather useful information based on the project needs in this layer. The purpose of this layer is to gather data and transfer it to the next layer. 

• Network:

It is the connecting layer between perception and application. This layer gathers information from the perception and transmits the data to other devices or servers. 

• Middleware: 

The middleware layer offers storage and processing capabilities. It stores the incoming data and applies appropriate analytics based on requirements. 

• Application: 

The user interacts with the application layer, responsible for taking specific services to the end-user. 

Implementation Requirements

Effective and seamless implementation of IoT depends on specific tools, such as:

• High-Level Security 

Security is one of the fundamental IoT implementation requirements. Since the IoT devices gather real-time sensitive data about the environment, it is critical to put in place high-level security measures that ensure that sensitive information stays protected and confidential.  

• Asset Management

Asset management includes the software, hardware, and processes that ensure that the devices are registered, upgraded, secured, and well-managed. 

• Cloud Computing

Since massive amounts of structured and unstructured data are gathered and processed, it is stored in the cloud. The cloud acts as a centralized repository of resources that allows the data to be accessed easily. Cloud computing ensures seamless communication between various IoT devices. 

• Data Analytics

With advanced algorithms, large amounts of data are processed and analyzed from the cloud platform. As a result, you can derive trends based on the analytics, and corrective action can be taken. 

What are the IoT Implementation Steps?

Knowing the appropriate IoT implementation steps will help your business align your goals and expectations against the solution. You can also ensure the entire process is time-bound, cost-efficient, and satisfies all your business needs. 

Set Business Objectives 

IoT implementation should serve your business goals and objectives. Unfortunately, not every entrepreneur is an accomplished technician or computer-savvy. You can hire experts if you lack the practical know-how regarding IoT, the components needed, and specialist knowledge. 

Think of what you will accomplish with IoT, such as improving customer experience, eliminating operational inconsistencies, reducing costs, etc. With a clear understanding of IoT technology, you should be able to align your business needs to IoT applications. 

Hardware Components and Tools

Selecting the necessary tools, components, hardware, and software systems needed for the implementation is the next critical step. First, you must choose the tools and technology, keeping in mind connectivity and interoperability. 

You should also select the right IoT platform that acts as a centralized repository for collecting and controlling all aspects of the network and devices. You can choose to have a custom-made platform or get one from suppliers. 

Some of the major components you require for implementation include,

• Sensors
• Gateways
• Communication protocols
• IoT platforms
• Analytics and data management software

Implementation

Before initiating the implementation process, it is recommended that you put together a team of IoT experts and professionals with selected use case experience and knowledge. Make sure that the team comprises experts from operations and IT with a specific skill set in IoT. 

A typical team should be experts with skills in mechanical engineering, embedded system design, electrical and industrial design, technical expertise, and front/back-end development. 

Prototyping

Before giving the go-ahead, the team must develop an Internet of Things implementation prototype. 

A prototype will help you experiment and identify fault lines, connectivity, and compatibility issues. After testing the prototype, you can include modified design ideas. 

Integrate with Advanced technologies

After the sensors gather useful data, you can add layers of other technologies such as analytics, edge computing, and machine learning. 

The amount of unstructured data collected by the sensors far exceeds structured data. However, both structured and unstructured, machine learning, deep learning neural systems, and cognitive computing technologies can be used for improvement. 

Take Security Measures

Security is one of the top concerns of most businesses. With IoT depending predominantly on the internet for functioning, it is prone to security attacks. However, communication protocols, endpoint security, encryption, and access control management can minimize security breaches. 

Although there are no standardized IoT implementation steps, most projects follow these processes. But the exact sequence of IoT implementation depends on your project’s specific needs.

Challenges in IoT Implementation

Every new technology comes with its own set of implementation challenges. 

When you keep these challenges of IoT implementation in mind, you’ll be better equipped to handle them. 

• Lack of Network Security

When your entire system is dependent on the network connectivity for functioning, you are just adding another layer of security concern to deal with. 

Unless you have a robust network security system, you are bound to face issues such as hacking into the servers or devices. Unfortunately, the IoT hacking statistics are rising, with over 1.5 million security breaches reported in 2021 alone. 

• Data Retention and Storage 

IoT devices continually gather data, and over time the data becomes unwieldy to handle. Such massive amounts of data need high-capacity storage units and advanced IoT analytics technologies. 

• Lack of Compatibility 

IoT implementation involves several sensors, devices, and tools, and a successful implementation largely depends on the seamless integration between these systems. In addition, since there are no standards for devices or protocols, there could be major compatibility issues during implementation. 

IoT is the latest technology that is delivering promising results. Yet, similar to any technology, without proper implementation, your businesses can’t hope to leverage its immense benefits. 

Taking chances with IoT implementation is not a smart business move, as your productivity, security, customer experience, and future depend on proper and effective implementation. The only way to harness this technology would be to seek a reliable IoT app development company that can take your initiatives towards success.

• Univariate: considering a single variable
• Multivariate: considering multiple variables

 

 

 

TinyML focuses on optimizing machine learning (ML) workloads so that they can be processed on microcontrollers no bigger than a grain of rice and consuming only milliwatts of power.

Earlier, Artificial Intelligence was just a notion we experienced in Sci-Fi movies and documentaries, but now it's making a huge impact on society as well as the business world. 

Today, modern technologies like Artificial Intelligence and Machine Learning are no longer trendy words. It has been around us for more than a decade, but yes, we are harnessing its power for the last couple of years. Due to its more incredible data processing speed and advanced prediction capabilities, Artificial Intelligence is making its way into our daily lives. 

Artificial Intelligence is a vast term that refers to any software or application that engages in studying human preferences during interactions. There are several real-life artificial intelligence applications such as Netflix's movie recommendations, Apple's Siri, Amazon's shopping personalized mails, and Google's Deep Mind. This way, AI is changing business dynamics and allowing them to upscale their game in a positive way. 

AI is implemented in most businesses. As per the report published by PwC, AI will contribute $15.7 trillion by 2030 to the global economy. Businesses that were still considering that AI is a futuristic technology are now investing in it because it will reap many benefits and improve their business offerings. 

From assisting customers to improve their overall experience to automate certain business tasks to crafting personalized solutions, AI has the potential to revamp your modern business outlet. 

5 Ways AI is Accelerating Modern Business World

According to Salesforce's report, usage of AI is no longer limited to large corporations but SMBs are also using AI technology to achieve higher business growth. 

We live in an age of technology. Businesses are getting evolved as per consumer's demand. Small businesses are slowly automating their business operations in order to capture huge market share while large companies are revamping their existing strategies to establish their brand. 

It means everyone in the business world is now enjoying their proportionate revenue share. Thanks to technologies such as AI and ML, it is now only improving customer relationships and enabling owners to make informed decisions with accurate insights. From SIRI to self-driving cars, AI is transforming our lives in such a way that stimulates human behavior to another level. 

AI is nothing but the technology that can solve problems without human interference and come up with rational solutions taken with the help of 

• Knowledge
• Reasoning
• Perception
• Learning
• Planning 

Popular brands like Amazon, Apple, Tesla, etc., are using this technology to transform our current and future lives. The biggest benefit AI has given to businesses is that it has eliminated human intervention in tedious or mundane tasks. Here we have addressed five ways how AI is revolutionizing modern businesses and improving business operations. 

AI Ameliorate Customer Experience

These days, customers are expecting lightning-fast responses from brands, and AI-based advancements allow businesses to integrate voice search or chatbots into their strategy. AI-based chatbots improve customer experience and resolve their queries in seconds without getting frustrated. Moreover, chatbots will also help to find the best suitable products based on customer's preferences. 

Built using smart technologies, chatbots are getting more attention, especially in eCommerce and on-demand business. The online food delivery business has experienced major growth, and entrepreneurs are now integrating chatbots in their restaurant's online ordering system so that customers can frequently ask questions related to orders and get them resolved in minutes. Along with good customer support, chatbots and virtual assistants have several capabilities such as: 

1. NLP that can interpret voice-based interactions with customers
2. Resolve customer's queries through accurate insights
3. Provide personalized offerings to customers

In short, chatbots interact with your customers, assist them round the clock, and provide a personalized experience without getting frustrated. 

Cut Down on Recruiting and Onboarding Cost

According to Deloitte, more than 40% of companies are now using AI in their human resource operations in order to gain long-term benefits. Therefore, more and more organizations are now using AI-based technologies while others are still on their way to adopt this transformation. 

There are few ways in which AI can play a major role in HR operations are: 

• Onboarding
• Talent acquisition 
• HR management 
• Sentiment analysis
• Performance management 

Overall, implementing AI in HR speeds up the hiring process, cuts down administrative costs, scans thousands of candidates in just a couple of hours, and reduces bias against candidates. 

According ot Oracle, HR departments are more likely to use AI to source the best talent as it automates certain tasks and comes up with best results without any bias. Usage of AI is not limited to delivering quality customer support, but it has significantly impacted the organization's recruitment and onboarding process. The companies already using AI have admitted that it has resulted in noticeable benefits. 

Generate Sales

According to Gartner, it is projected that by 2021, 30% of businesses will use AI in their existing sales strategies. Businesses that are not integrating AI in their existing CRM software will be left behind since AI can do wonders and improve customer experiences and sales altogether.

When you leverage AI into your organization's CRM:

• It studies customer's data
• Based on that data, your sales team can put efforts
• It would help to predict whether the customer is interested or not 

Based on the customer's browsing history, personal details, and behavior, you can turn this visitor into a lead with personalized marketing strategies like promotional emails and offerings that ultimately boost sales and customer engagement ratio. Moreover, you can also get started with paid advertising campaigns based on demographics and insights. 

Improve Recommendations for Customers

Leveraging AI, brands can more smartly analyze data to predict customer behavior and craft their marketing strategy based on their preferences and interest. This level of personalization delivers a seamless customer experience, and they feel valued. But for that, you need to understand the customer's demands first. 

For example, Starbucks, using "My Starbucks Barista", which utilizes AI to enable customers to place orders with voice technology or messaging. This level of personalization helps brands to suggest better products and connect with customers. 

Help You Re-target Online Ads

Running paid advertising campaigns on Google or social media are cost-effective and powerful ways to grab users' attention. Hence, targeting audiences' right set using AI and ML algorithms helps you study user preferences for better conversions.  

For instance, if you have an online delivery business, machine learning studies your audience, behavior, and sentiments and helps you re-target with best offerings. Moreover, an advanced level of AI algorithms helps you target customers at the right time so that it will encourage them to make a decision. 

Summing Up

The introduction of AI-powered technology in the modern business world has allowed enterprises to implement crafted and well-researched methods to avail long-term business goals. Artificial Intelligence in the business world plays a crucial role in resolving customer's issues in real-time with innovative solutions and increases businesses' productivity. 

Therefore, we can conclude that AI's capabilities speed-up the decision-making process and solve real problems with smart solutions. Indeed, AI is here to stay for a long time and reap multiple benefits to the business.

Scott Rosenthal and I go back about a thousand years; we've worked together, helped midwife the embedded field into being, had some amazing sailing adventures, and recently took a jaunt to the Azores just for the heck of it. Our sons are both big data people; their physics PhDs were perfect entrees into that field, and both now work in the field of artificial intelligence.

At lunch recently we were talking about embedded systems and AI, and Scott posed a thought that has been rattling around in my head since. Could AI replace firmware?

Firmware is a huge problem for our industry. It's hideously expensive. Only highly-skilled people can create it, and there are too few of us.

What if an AI engine of some sort could be dumped into a microcontroller and the "software" then created by training that AI? If that were possible - and that's a big "if" - then it might be possible to achieve what was hoped for when COBOL was invented: programmers would no longer be needed as domain experts could do the work. That didn't pan out for COBOL; the industry learned that accountants couldn't code. Though the language was much more friendly than the assembly it replaced, it still required serious development skills.

But with AI, could a domain expert train an inference engine?

Consider a robot: a "home economics" major could create scenarios of stacking dishes from a dishwasher. Maybe these would be in the form of videos, which were then fed to the AI engine as it tuned the weighting coefficients to achieve what the home ec expert deems worthy goals.

My first objection to this idea was that these sorts of systems have physical constraints. With firmware I'd write code to sample limit switches so the motors would turn off if at an end-of-motion extreme. During training an AI-based system would try and drive the motors into all kinds of crazy positions, banging destructively into stops. But think how a child learns: a parent encourages experimentation but prevents the youngster from self-harm. Maybe that's the role of the future developer training an AI. Or perhaps the training will be done on a simulator of some sort where nothing can go horribly wrong.

Taking this further, a domain expert could define the desired inputs and outputs, and then a poorly-paid person do the actual training. CEOs will love that. With that model a strange parallel emerges to computation a century ago: before the computer age "computers" were people doing simple math to create tables of logs, trig, ballistics, etc. A room full all labored at a problem. They weren't particularly skilled, didn't make much, but did the rote work under the direction of one master. Maybe AI trainers will be somewhat like that.

Like we outsource clothing manufacturing to Bangladesh, I could see training, basically grunt work, being sent overseas as well.

I'm not wild about this idea as it means we'd have an IoT of idiots: billions of AI-powered machines where no one really knows how they work. They've been well-trained but what happens when there's a corner case?

And most of the AI literature I read suggests that inference successes of 97% or so are the norm. That might be fine for classifying faces, but a 3% failure rate of a safety-critical system is a disaster. And the same rate for less-critical systems like factory controllers would also be completely unacceptable.

But the idea is intriguing.

Original post can be viewed here

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Artificial Intelligence is a popular term currently evolving around software industries. Many app development companies were developing their requirement process to recommend AI-bases workers and also many institutes were trained to learn the concept of AI. It clearly says that in the future, most of the tasks will drive through AI. Hence it is good to know how AI will help the professions to run their routine work effectively. It’s not only about learning the skill but also depends upon the interest you have to learn. AI does not only deals with a particular requirement.

It also deals with sectors like data analytics, machine learning, data mining, etc. By combining these factors will help to maintain the AI to train the job for the long term. Hence make sure to know the areas that follow to build the profession in profit. This blog will help you to know the information for the profession that helps to operate effectively.

Software Development

Software development is one of the topmost demanding jobs in every country. By getting into the job as a software developer will help to promote the career faster than the other industries. In the future, AI will help the programmers to think less as machine learning will take place to eliminate the code and introduce the algorithm to build the application. By allowing the Ai to adopt the section to work will help to play the complete function in an easy mode. IT reduces the effort of using the coding and also helps to build the apps easier and effectively. For example, software testing is one of the important roles in development, by placing AI to automate the testing will help to replace the employee and reduce the effort of them.

Machine Industry

The machine industry is a vital part to run society. Workers were working for the long term and creating a great effort to complete the work. AI will help to respond to the function to operate smarter and effectively. By utilizing the data analytics, the result to maintain the chain process will become easier and more effective. Hence complete machine industry will get a hike to improve their quality. By focusing on furthermore internets of things get communicated with the sources from industry and get huge control. Hence by using these technologies will bury the effort of workers and also increase the quality of time from the manufacturing side. It improves the quality and helps to maintain the product to get qualified.

Education System

Education is the right of every citizen of the country but most of the time students get frustrated due to the load that is given by the system. Hence it collapses the mind easily. Thus to prevent it Ai can implement it. It helps the system to decrease the load of education and improves understanding. It allows the student to get interact easier and helps to improve the concept to understand.

For example, if a student wants to learn the practical session, its easy to make it live virtually. It helps them to improve their creativity and also increase their interest to observe. Hence by implementing AI will tend to improve the whole concept of education.

Healthcare

The healthcare industry is always an important part to get noticed. Every person was looking for improving their health but most of the time they were lazy to build the habit to take care. Thus by using Ai, the cost of spending bucks for health will reduce and the improvement of the human cycle will get increases. Already Ai apps were built to support the human by analyzing their symptom. Hence in the future, apps get increased and also the technology will get improved. By acknowledging the human about their problem with the symptom will help to improve their health without any support and also help to save their money. Even data analytics will help the patient’s improvement of humans in terms of analyzing the error. Thus by using data science as it is a part of Ai will help to maintain the record of patient safer and also reliable to the human.

Supply Chain

The supply chain is one of the toughest parts of the profession as it requires used by many companies to service for them. By using the data analyst, the usage level of getting information will be much good rather than depending on humans. It helps the business person to prevent the time shortage and also increases the quality of response. By ensuring the time is important to supply chain business as it matters a lot to the supply chain profession. Hence applying Ai to the supply chain will be prettier and help the process to work properly and reliability for the system.

Wearable Gadgets

Technology is much reliable to society to help the human and increase the concentration on their work. Wearable devices are one of the popular devices that have been getting merge with human routines. Especially devices are used for health reasons. Hence by using the gadgets will allow the user to acknowledge the ratings of health. By using the gadgets, the usage will be finer to track. Also, the apps related to wearable devices were much high and also demand is also getting a hike. Many top app companies were working for wearable apps. Hence the usage of these kind apps will bring great attention to the software industry. It is related to IOT. Thus automatically Ai will get into the game to manage the data.

Business Models

Maintaining the business as per the requirement of the client is the major responsibility of every person. The important part is the data that has to be analyzed well. It should not get criticized. Hence analyzing the data with the help of AI models will improve the business requirement and also the client requirement. Thus in the future, many companies will seek data analytics to improve their business.

Final Words

Artificial intelligence is one of the topmost sectors in today’s world. And driving the field via these techniques will help to improve the complete session.

Artificial intelligence plays a significant role in the growth of the IoT sector. Artificial intelligence emulates the task more profoundly, Those performances were earlier limited to the human workforce, but now the Artificial intelligence development company has made a lot more noise in almost every sector by actually revolutionize everyone's lives.

The Internet of Things has been introduced in recent years with the objective to transfer data to other devices through the internet. IoT relies heavily on the internet connection that handles large volumes of data. IoT and artificial intelligence from the last two years are going hand in hand as these data helps in generating a lot more data that can be taken as actionable results.

Artificial intelligence helps IoT to handle the data on the basis of algorithms where they can convert data with the help of machine learning-based analytics. These AI Developers help the company to monitor operations that can give great insight from the data with greater accuracy.

Gartner predicts that by 2022, more than 80 % of enterprise IoT projects will include an AI component, up from only 10 % today.

How AI and IoT are Contribution to Growth

AI at work can access your IoT databases and know about your choices on the basis of last preferences, these personalized suggestions can easily make someone's life much easier. Here are some vital factors where Artificial intelligence affects the internet of things. 

• Greater Revenue

IoT and AI are proving to be beneficial for most industries. These effects are enhanced by greater revenues and returns along with smart services-based solutions. With the extraordinary combination are transforming the workflows and other productivity of the businesses. 

• Reduced Costs

AI and IoT ensure to reduce the operational cost by properly monitoring the smart sensors, meters, other fitted appliances. AI solution providers are providing impressive features that minimize the operational costs of households and business enterprises.

• Predictive Analysis

AI uses the power of analysis to forecast and minimize unpredictable incidents at the most basic level. It allows businesses to manage real-time data in determining the condition of machinery and equipment which are likely to break down in some time.  Proper action can be taken prior to avoid any kind of damages or loss with an associated cost. 

• Enhance Risk Management

A number of applications that integrate IoT with AI help companies to better understand and foresee a range of risks with the fast response, allowing them to better manage the safety of the workers, loss or any other cybersecurity attacks. This law enforcement identifies all the possible loss and tries to eliminate the threat before access.

How IoT impacts Industrial Sector

#1 Manufacturing

The manufacturing industries are integrating smart sensors with the help of IoT in order to perform enhance the efficiencies. These smart sensors help in detaching the threats be it aircraft, automobiles, household. By implementing Artificial intelligence solutions and smart sensors can help in diminishing the errors and also reduces the overall cost with the help of prognostic analysis.

#2 Smart Homes

IoT introduced the concept of a smart home where all devices are connected through a shared network. Through integrating this with AI, all of these apps will be able to understand the commands of their users and make smart decisions accordingly.

It can also help to reduce the cost of electricity by switching off devices when things are not used just by switching off the lights.

#3 Airlines

After the evolution of the latest IoT technology, all kinds of machines are run through sensors. We do not need to physically touch the devices to perform. These sensors are needed to identify the maintenance issue if any flight delays or cancellations, sensors automatically send messages to its passengers about schedule time or delays. Artificial intelligence solutions automatically transmit the issue, be it flight delays, cancellation or any other essential information. 

Conclusion

AI and IoT cumulative impact would fundamentally restructure our personal and professional lives. Therefore, wise companies opt for a strategic and innovative strategy to control this incoming phenomenon and transform it into a huge opportunity for their company to escalate. These dependencies and AI and IoT are aiming to gather important issues that process and store data with the visionary approach that can easily escalate businesses. The IoT development company is reshaping the whole scenario by simply combining the AI and IoT functionalities.

                                                                                             Source - Salesforce

“By 2020, 85% of customer interactions will be managed without a human” – Gartner
Prior to jump into depth to sharing about ‘customer experience optimization through AI technology’ let’s first understand ‘what is customer experience?’. The perception or the value created about the brand to the customer, is called customer experience. The process to increase the awareness with positive intent towards the brand, is called customer experience optimization.

To optimize the customer experience, Business needs to first of all understand all moves to be taken by customer while landing initially onto portal to either purchasing the product or services without facing any hassle. Nowadays, AI technology has been implemented across all industries due to have its immense capability to drive strategic data as well as to respond customers quickly that cause business growth.

Problems that can be solved using AI:

Nowadays, Customers have multiple options when it comes to choose any product or service so Business should be proactive indeed on planning for futuristic action to engage the customer in order to compete with their potential competitors in the market. AI captures the existing data of current business and suggest the next step to be taken by implementing machine learning algorithm.

How AI plays a key role in making customer experience optimized

AI uses the machine learning algorithm to deliver human sense to customer. AI boost up the business process in such a way that the same service can be delivered in a quick and effective way. Being a customer, we face challenge in accessing support service such as long waiting time to connect with support agent, immediate actions to be taken on account, accessing personal details securely in no time etc. While accessing service or product solution, customer stuck at some point and they look for urgent help by contacting Phone/chat support team through number of channels such as Phone, email, web chat that usually consumes more than expected which may cause customer interest toward the brand.

Rather than getting help from support team, Customer always shows their positive intent to resolve the issue by self that enables customer to find the answer quickly, perform the required actions within no time, no additional charge with high secure, share less their sentiment to other human in very secure way. AI helps the customer to access key information based on their keywords they input to the application. Rich collection of content is prepared that allows computer system to sense the customer need and when required, customer access the custom fit content in no time.

Impact/Benefit of Artificial Intelligence on Business:

AI helps the business to automate and improve complex analytical tasks, to look at strategic data in real-time, adjusting its behavior with minimal need for supervision as well as to Increase efficiency and accuracy.

Below are the following benefits that are accessed by business on AI implementation:

• Increase operational performance that results less effort & time
• Helps stakeholder to take business decision quickly
• Eliminate human error with AI based algorithm
• Prediction analysis through analytics
• Data extraction through solid algorithm
• Increase Profitability
• Intelligent advice suggestion

One of the interesting part about AI, it follows pre-trained machine learning models and out-of-the box services that integrates with key customer experience process and solutions. AI can be used in almost unimaginable number of ways including sentiment analysis to understand the next move of a prospect/customer and recommend products based on customer interest.

The benefit is not only limited to customer; it is very useful for support process where agent access the knowledge base which contains the information that need to be shared with customer. Each of the little information can’t be memorized by human henceforth AI comes into the picture that helps the support team to guide the customer in right way quickly. AI provides the prediction analysis, and data plays an important role to succeed. AI utilize the captured data into computer system and apply the algorithm to make custom fit solution for end users. With consideration of customer intent, AI is solving many business problems on continuous rate that makes the AI as disruptive solution.

For those who do not know this famous Goya´s painting: 'Saturn Devouring a Son', it belongs to the series of Black Paintings of the artist. It's the best comparison I can make after returning from the TechXLR8   --- IoT World Europe Summit in London.

In the painting we see the god Cronos, who immutable governs the course of time, devouring a son. The act of eating your child has been seen, from the point of view of psychoanalysis as a figuration of impotence.

Saturn is the Artificial Intelligence (aka AI) and his impotent son is the Internet of Things (IoT). There are other brothers waiting their turn to be devoured by this hungry father. Soon it will be the Augmented Reality / Virtual Reality (AR/VR), the Blockchain and Digital Twins. Not even the 5G will be spared. 

If you are still waiting for the IoT boom, this event is confirmation that the IoT is badly wounded at least in Europe. The few IoT companies that exhibited their products and services at Excel London showed nothing that could overshadow the big winner, the ubiquitous father AI. Although the Augmented Reality / Virtual Reality (AR/VR) does present itself a great rival for the other brothers.

Every time I find it more difficult to justify coming to these events. Neither being a speaker or moderator has allowed me to win a project. I keep doing it to maintain my influence and keep informed my followers on social networks, but I already tell you that physical and economic effort is not justifiable.

The organization this year has sought speakers that mix vendors presentations with success stories of clients. But this year neither of them was able to raise this event.

The few large IT firms present such as Microsoft, SAP or Oracle are on the side of the father "AI" although they show demos IoT many times repeated.

The discussions of the first years of the IoT boom revolved around connectivity, security, IoT platforms, even business models. Now, nobody is interested in these matters anymore. I am sorry for my many friends and myself advising in these areas, but all the fish has sold in West Europe.

Nor have the great integrators been present here. Those who should have implemented IoT solutions for years but never risked investing and continue to squeeze clients with digitalization projects, cloud migration projects, products updates and customized developments. I believe most of them have done a disservice to the acceleration of the IoT.

There was no great IoT news during the event. Perhaps the most important announcement was given by Marc Overton who took advantage of his presentation to announce the recent collaboration agreement between Sierra Wireless and Microsoft to claim industry’s first full-stack IoT offerings. Something that happened far away from here.

As for my sessions, they mixed IoT and Blockchain, something that would have guaranteed success for attendees two years ago or last year but that did not arouse great enthusiasm this year. It is evident that they are becoming a commodity. Something that is not bad, since we would stop speculating about possible use cases and we could be using transparent in our lives and businesses.

Do not worry, the life of IoT events continues, and so this week there are three more:

• Living bits and Things https://www.livingbitsandthings.com/ in Bled (Eslovenia), during 17^th and 18^th June 2019.
• IoT Tech Expo Europe - https://www.iottechexpo.com/europe/ in Amsterdam (Netherland) during 19^th and 20^th June 2019
• IoT Week – in Aarhus (Denmark) during 17th-21th June 2019.

I believe that Organizers and exhibitors need to try to reinvent the IoT events to make more attractive to visitors and generate qualified leads. We need to see an IoT event where IoT is present in every corner of the floor, in every stage, in every service (cafeteria, rest rooms, transportation, etc). We need to breath IoT every minute.

Otherwise the IoT events will continue driving away visitors and exhibitors and 'Saturn (AI) Devouring a Son (IoT).'

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In 2016 in my article “ The future of “The Internet of Olympic Games”, I considered Rio as the first Internet of Things (IoT) Olympic games. In Rio we could see how athletes, coaches, judges, fans, stadiums and cities benefited from IoT technology and IoT solutions and somehow changed the way we see and experience sports. Next year we will have opportunity to verify if my predictions for Tokyo 2020 will become a reality and we will name Tokyo as the first Artificial Intelligent (AI) Olympic Games.

During my presentation in Dubai, I explained the audience the incredible way IoT and AI technologies are impacting sports. I dedicated some time explaining how IoT and AI are playing an increasingly significant role in boosting talent, managing health and improving coaching and training. Today these technologies are already enabling athletes to improve performance, coaches to better prepare games, judges to fail less, fans enjoyed with new excited experiences. I also remarked the importance that teams clubs and cities collaborate to make the stadiums more secure and more exciting for fans.

I emphasized how we are creating smart things, the importance of use AI and IoT to make every thousandth of a second count for athletes and coaches and how AI and IoT are used to predict the future of a race, a match or a bet.

I introduced different examples how all sports are using IoT and AI, and of course I share my vision in 10-15 years from now. Can you imagine integrated virtual and real world for sports? Can you imagine mixed teams of robots and humans or super-humans playing new games?

I did not forget to talk about the challenges involved in building machine learning models in sports and the challenges that IoT and AI still have.

I used my speech to raise awareness to the attendants that there is also a dark side in these technologies. We cannot forget that Sport is also a business and therefore enterprises, Governments and individuals can make a wrong use of these technologies.

In summary, it was a great session in which I shared my point of view about:

• How we want IoT and AI transform coaches, athletes, judges and fans.
• How we want IoT and AI continue attracting people to the stadiums
• How we want IoT and AI transform Sport Business.
• How AI is changing the future of sport betting?

How we want IoT and AI transform athletes, coaches, judges and fans?

Athletes

While the true essence of sport still lies in the talent and perseverance of athletes, it is often no longer enough. Therefore athletes will continue demanding increasingly sophisticated technologies and more advanced training techniques to improve performance. For instance, biomechanical machine learning models of players will predict and prevent potential career-threatening physical and mental injuries or can even detect early signs of fatigue or stress-induced injuries. It can also be used to estimate players’ market values to make the right offers while acquiring new talent.

Coaches

Coaches are using AI to identify patterns in opponents’ tactics, strengths and weaknesses while preparing for games. This helps coaches to devise detailed gamelans based on their assessment of the opposition and maximize the likelihood of victory. In many leading teams, AI systems are used to constantly analyze the stream of data collected by wearables to identify the signs that are indicative of players developing musculoskeletal or cardiovascular problems. This will enable sports teams to maintain their most valuable assets in prime condition through long competitive seasons.

Judges

We tend to think that technology helps make the sport more just when we are victims or witnessed of unjust decision. That´s why we approve inventions like Paul Hawkins - creator of Hawk-Eye, a technology that is now an integral part of the spectator experience when watching sport live or more recently VAR in soccer.

The use of technology allows watch in real time multiple cameras, with aggregated info from sensors (stadiums, things and athletes) to make their decisions more accurate and objective.

We as spectators or fans need more transparency about the exercise’s difficulty, degree of compliance and final score. And we have the technology to do it.

The IoT and AI technology doesn't claim to be infallible - just very, very reliable and Judges also need to be adapted to new technologies.

Fans

Without fans, sports would find it difficult to exist. It is understandable companies are also targeting fans with IoT and artificial intelligence to keep them engaged whether in the stadium or at home.

How we want IoT and AI continue attracting people to the stadiums?

Within the stadiums, sports clubs and many leagues across the globe are incorporating inside and outside the stadium technologies to boost fans unique experiences for fans and not only the 90 minutes.

The challenge is how to combine what the oldest and newest supporters are looking to attend to the stadiums?

How will the stadiums of the future be? I read numerous initiatives of big clubs and leagues, but I am exciting about the future stadium of Real Madrid. I wish the club would allow me to advise them how to create a smart intelligent Global environment to provide each fan with an individual experience, know who is in the crowd, learn fan behaviors to anticipate their needs

How we want IoT and AI transform Sport Business.

“As long as sports remain a fascination for the masses, businesses will always have the opportunity to profit from it. As long as there is profiting to be gained from the world of sports, the investment in and incorporation of technology for sports will continue.”

I read an article warning about the new entirely new world order that is being formed right now. The author explained how 9 companies are responsible for the future of AI. Three of the companies are Chinese (Baidu, Alibaba and Tencent, often collectively referred to as BAT), while the other six are American (Google, Amazon, IBM, Facebook, Apple and Microsoft, often referred as the G.Mafia). The reason is obvious, as far as AI is about optimization using the data that’s available, these 9 companies will manage more of the sport data generated in the world.

Collaboration is needed now to stop this danger and to address the democratization of AI in sports. It is urgent companies and governments around the globe to work together to create guiding principles for the development and use of AI and not only in Sports. This mean we need regulating it but in a different way. We do not want AI becomes in the hands of a group of lawmakers, who are very well read and very smart people but overwhelmingly lack degrees in AI and IoT.

Will AI change the future of sport betting?

The impact of technology on sports cannot be specifically measured, but some technological innovations do raise questions about fairness. Are we still comparing apples with apples? Is it right to compare the speed of an athlete wearing high-tech running shoes to one without?

Whether we like it or not, technology will continue to enhance athlete performance. And at some point we will have to put specific rules and regulations in place about which tech enhancements are allowed.

There is a downside to advanced technology being introduced to sports. Machine Learning models are now used routinely to predict the results of games. Sport betting is a competitive sport itself among fans, but AI can substantially tilt that playing field.

I analyzed many IoT and AI companies for Sports in order to prepare my session. I am scare about the game result predictions capabilities but more scare about the manipulation of competition using AI algorithms with the Terabytes of data collected daily from IoT devices and other sources like social media networks, without the permission of the users.

The sport business market is generating billions of US$ every year but without control and education we could find future generation of ludopaths and a small number of Sports Service Providers controlling the Sports.

As mobile devices become smaller and smarter, artificial intelligence (AI) is steadily gaining significant popularity among users and developers alike. Every now and then mobile developers around the world are working assiduously to develop and employ the emerging technology in mobile app development which is aimed at improving the way users interact with apps. Already, there are several signs, indications, and signals revealing that the AI will dominate the future of mobile apps.

In the tech world, AI is believed to hold immense potential and Indian app developers are gradually embracing and integrating this relatively new technology into their mobile app development seeing that it presents the best bet for the future. Already, the current mobile app market is consequently being flooded with new mobile applications and models leading to the creation of new and improved mobile app development services.

Even if you don’t notice it, AI is already around you and it has come to stay. In the past, this technology was only regarded as a futuristic concept for movies but today it has become a reality. And there is no better time to get involved with the trend than now. Interestingly, many Indian app developers are beginning to discover that mobile development and AI share common features and can make a perfect match. Obviously, there are lots of possibilities that can be accrued from the advancement of AI.

Combining artificial intelligence (AI) with mobile development will result in the creation of intelligent apps. Basically, this is concerned with the design and development of mobile apps that have the ability to learn, think logically, and solve problems. In a bid to effectively engage users, transform customer experience, and ultimately retain them, many app developers and top app development companies in India alike are already working to integrate the technology into their mobile applications.

The impact of AI on mobile development

Many tech and industry experts are suggesting that AI will be a major trend in various sectors, particularly in the mobile application development. To this end, everyone in the industry including, startups, growing businesses, and top app development companies are investing in artificial intelligence (AI) with the aim of providing efficient customer services and bring about a positive change. While some are incorporating the technology in the form of chatbots, others are looking to embed it into the infrastructure of their mobile app development as assistants to create smart apps.

Already, some tech giants like Uber, Amazon, eBay and the rest are making use of AI and judging from the look of things, it is a meaningful realization. With this new technology, Indian app developers are helping businesses support their customers with relevant, seamless, and personalized services. With time AI in mobile apps will understand customer behavior, thanks to its ability to effectively gather massive amounts of data from previous customer interactions and learn them. Apart from helping to bring customers closer to the business, AI-enabled apps are also helping to enhance customer interaction thereby boosting customer retention rate.

Basically, Indian app developers are finding ways to make use of the data that businesses are getting via mobile devices, online traffic, and point-of-sale machines to impact both business and consumer experience with AI’s influence. As more artificial and machine learning-driven apps make their way into app stores, things will change in the way and manner people communicate and interact. In a bid to create more insightful, context-rich experiences, the algorithms will be able to sift through the obtained data, find correlations and trends and get the apps adjusted to suit the personal needs of the user.

Obviously, there is much to achieve with these artificial intelligence algorithms in mobile app development. There is a wide range of AI-based mobile app development projects undertaken by Indian app developers. With the development of personal assistants, chatbots, and other artificial intelligence features, many big companies are already reinventing their user experience (UX) strategies. And in order to remain ahead of the competition, other businesses are following suit.

The future of AI-driven apps

Now that the entire ecosystem has been enhanced with regular and active access of data management and delivery, many Indian app developers will be employing AI which will become an essential necessity for robust mobile app development in the near future. Basically, there is every need for systems featuring data governance, data security, and metadata management to be fast and robust in indexing and cataloging.

Here are other ways through which AI development will impact the industry

Cloud services

It’s no longer news that businesses are adopting cloud computing technology to improve their services. It may interest you to know that Indian app developers will not only be adopting this technology to enhance development but will also be using it to troubleshoot errors in AI-driven apps.

Business apps

As already mentioned, many businesses are already seeking to enhance customer interaction by investing mobile app development. However, integrating AI will help to boost convenience for customers and also help businesses reach a wider target audience. Businesses will not only be using AI-driven apps to observe internal communications, but these will help to simplify business activities in several ways.

Location-based applications

Today, people are using location-based apps to search and find virtually anything they need in any location. AI-enabled apps will be synchronizing users’ interest, as well as their frequent searches to create results. Basically, these apps will be using obtained data to provide more desirable suggestions. Already, Google users can easily search for promotion offers, nearby restaurants and department stores with their smartphone via Google Assistant or Siri.

Internet of Things (IoT)

In recent times, there has been an increase in a range of new technologies due to the desire to further increase the mobility of users. IoT is one of such recent developments making waves in the industry. No doubt, AI will be enhancing the development of IoT helping smartphone users manage real-life events in the near future.

AR and VR

Together with AI, Augmented Reality (AR) and Virtual Reality (VR) is taking both the gaming and entertainment industry by storm. The release of Oculus Rift, Google Cardboard, Samsung Gear VR and other numerous models of VR devices are already influencing the industry.

The Internet of Things — or IoT — is taking the IT sector by storm. Although it only boasted two billion systems in 2006, it's set to reach 200 billion connected devices by 2020 — and even more beyond that.

As companies and consumers all continue to explore the benefits of the IoT, one thing has become clear: the IoT needs proper encryption.

Given the sheer amount of online and network-oriented threats today — including everything from traditional viruses to advanced malware and malicious computer coding — data encryption is necessary to ensure the long-term success of the IoT.

Establishing these protocols while the IoT is still in its infancy will provide additional integrity to IoT-fueled projects and generate increased interest in the platform as a whole.

Overcoming the Roadblocks to Success

Modern society is well on its way to embracing the IoT for everything from industrial automation to in-home convenience, but there are two significant roadblocks to the platform's success.

1. Power Consumption

Today's IoT networks, which contain servers, access points and peripheral devices, consume enormous amounts of power altogether, but some tools require more power than others. 

While traditional network-level encryption tools are optimized for larger systems and infrastructure, they don't always scale down to smaller formats in an efficient or viable manner.

Developing a chip with higher energy efficiency and the ability to scale down minimizes the strain on current and local power grids and makes it easier to secure individual devices via existing encryption methods. 

2. Data Security

Consumers have received an enormous dose of reality in the 21st century. Those who haven't fallen victim to a cyber attack or hack probably know someone who has. The number of data breaches involving consumer information is troubling.

There are even rumors of foreign entities interfering with U.S. elections, including the 2016 election of President Donald Trump. Data security is in the spotlight now more than ever before, and it's a tremendous obstacle for the IoT to overcome.

However, a new chip manufactured by the team at MIT solves both of these problems. Not only does it focus specifically on public-key encryption — a straightforward and user-friendly method of modern encryption — but it also consumes 1/400 of the power of comparable chips.

It also uses 90% less memory than current chips, which lets researchers execute commands and complete processes up to 500 times faster.

Encrypting Consumer Data via Mathematics

The newest chip utilizes elliptic-curve encryption. It's a highly sophisticated, dominant form of data security often used in HTTPS connections. MIT's latest advancement efficiently breaks this system down for use on the individual devices that comprise the IoT.

As noted by the team at MIT, "cryptographers are coming up with curves with different properties."

The new chip is flexible enough to support all the known curves in use today, giving it maximum compatibility with different organizational and governmental standards. The team hopes to implement additional support for any future curves, as well.

Making Advancements in Artificial Intelligence

The team at MIT is also making headlines in the area of artificial intelligence (AI). Between self-driving cars and increased automation both in the factory and the home, AI is a hotbed of debate. Whether consumers are in favor of automation or against the idea altogether, one thing is for sure: AI-driven robots must operate by an acceptable set of ethical standards.

Just like encryption, it's a subject that invites multiple interpretation and solutions.

To spur development into the future of AI ethics and programming, MIT recently took a poll of the online public. By seeking the input of the average consumer, the school hopes to play an essential role in how next-gen robotics make decisions, prioritize tasks and interact with their human counterparts on a daily basis.

How MIT Is Safeguarding Our Future

Between the increased need for data security and sophisticated AI, IT experts have their work cut out for them.

The work of individuals and groups like the team at MIT is already making headway into these areas, but society is only at the beginning of what will likely become a long-term, complicated relationship with technology.

Image by Kevin Ku

The past decade witnessed the emergence of two of the most significant technologies- virtual reality and Internet of Things.

Virtual reality refers to the use of technology to counterfeit an environment where the digital world seems real. It aims to place the user inside an experience, consequently enabling them to interact with the 3D worlds. On the other hand, Internet of Things is all about making real-world objects connect and manipulate in the digital world.

While both these technologies work to bring augmented ease to our lives, it's the convergence of the two that offer the most promising opportunities. Becoming quickly enmeshed in the prevailing times, the two disruptive technologies have largely revolutionized the industrial platform.

The meeting point of the two technologies boasts of immense potential. Let’s understand this with some examples.

1) Telepresence

The encroachment of telepresence depicts the colossal potential of the confluence of IoT and VR. If we talk about a typical video conference, the system includes a monitor screen, sound system, and codec. You can add additional speakers or a projector screen to improve the video conference experience. However, with telepresence, it is not the same.

With an aim to extend near lifelike audio and video quality, telepresence leverages compound multi-codec, multi-monitor, and multi-speakers. It has successfully transformed the way we can communicate with others over long distances. It offers the ability to look and move freely within a real-world environment, giving the illusion of actually being present there.

Telepresence has efficaciously eliminated the time and financial constraints related to travel. Offering all the benefits of a face-to-face interaction, it has made long-distance meetings exceedingly convenient.

2) Virtual Smart Cities

An increasing number of cities around the world are looking to become “smart” in order to improve comfort, reduce costs and consumption of resources and augment the quality of life of its citizens. Consequently, for the concept to materialize, it is significant that Internet of Things along with its accessibility to public grows. This will enable adequate accurate data to be amassed in cities for analysis and forecasting.

Moving ahead, these cities need to be integrated into a well-controlled virtual environment. This will allow an accurate analysis of the prevailing city conditions as well as help in making predictions of the impending future scenario. Thus, any kind of risk or disaster can be effectively monitored to simulate its effects.

3) Healthcare

The union of VR and IoT technologies has greatly assisted the healthcare field by bringing improved ease to patients as well as doctors. A competent example of this is robotic-assisted surgery, which has been in use for quite some time now. Also known as da Vinci Surgical System, it allows the surgeons to perform a least invasive surgery. A camera along with a few tools is inserted into the body through a relatively small opening that allows the surgeon to get a full view of the operating area without exposing the patient to the ordeal of a large incision.

The system includes a 3D HD vision system and small wristed devices that revolve and bend much better than the human hand, thus enabling improved vision, control, and accuracy.

But, this is just the beginning. It is anticipated that VR surgeries will soon control real da Vinci systems, permitting surgeons to operate on patients while sitting in their offices.

Final Thoughts

Considering the potential of the two technologies, more and more companies are investing into the development of new applications of both virtual reality and internet of things and because of that, in past several years so many IoT App development companies has been evolved in the market. In the following year, it is predicted to see a growing number of integration of smart objects within virtual simulations, for purposes such as leisure, training, or damage prevention.

The IoT is one of those amazing bits of technology that will give us a remarkable edge. It will also cut both ways. It is automating many jobs and making them much easier to do and offering very lucrative jobs for those who are in possession of the right skill set.

Still, its unavoidable that IoT is going to kill many jobs. In manufacturing alone the IoT is going to eliminate millions of jobs as they are replaced by what machines can do.

Add to that the fact that IoT and cognitive computing combined are going to threaten many top level and very prestigious positions as our advancing computers learn how to do jobs that require thought as opposed to just mechanical tasks.

Make AI and IoT Work Harder to Your Benefit. 

The intelligent employee is going to try to find the best way to leverage the changes in AI and the rapidly growing power of IoT. Thomas Davenport, professor at Babson College recommends that employees who are concerned about losing their jobs look for ways to use the power of AI and IoT as opposed to allowing it to automate jobs alone.

Tap Into Crowd Powe . 

According to Tripp Braden who recruits for Strategic Performance Partner ” “Most businesses are built on the idea of an ideal worker being like an eagle, strong, self-motivated, and independent worker.” The typical model is becoming a lot more team powered and companies and individuals need to take advantage of that in order to future proof their jobs.

Tamara McCleary agreed with that assessment. “As we head into a new age, we are disrupting the notion of one job being completely distinct from another. IoT is also leading to shifts in collaboration between fields,” McCleary continued to state that . “It is breaking down barriers between different fields such as big data, security, energy and utilities, smart buildings, and industrial manufacturing. And for many companies, IoT is enabling a transition from product to services. This shift demands more skill versatility from workers.”

Be an Expert in Your Field and Constantly Learn.

Its not enough to become an expert, but you must also learn consistently and continue to grow in your chosen career field. If some area of that field is being automated, becoming an expert in the automation and how it can benefit your company is going to future proof your job and keep you ahead of the game.

Build Your Own Brand. 

Become what is known as a thought leader in your area. Even if you don’t know all that there is to know about Iot or AI, get great professional head shots. Build your brand on LinkedIn and also on social media such as Facebook and Twitter. If you’re visible only on LinkedIn, with just 184 million users and you are conspicuously absent on Facebook (1.5 billion users) then you’re not doing as much as you could be to build that brand and surpass the other thought leaders in your arena.

Make Smart Choices.

Whatever business you are in, make smart choices and decisions that will future proof your job. Gather as much data as you can and use it to make better business decisions that will show you up as a leader in thought and in action.

Be Creative and Be Forward Thinking.

What works today in IoT and your job isn’t going to work tomorrow. Be willing to adapt in order to overcome obstacles and problems in your job. In order to future proof your position, you’re going to have to be willing to change as rapidly and as dramatically as IoT is changing.

My first hands-on experience with a drone goes back to summer of 2012 when I visited my little cousin in Cincinnati. It was what he called a quadcopter. My cousin would place it on his palm and launch it from there with an Xbox-type-controller. It could easily go around the neighborhood, making rounds near the lake before settling back on my cousin’s palm.

It had a rotating camera with which he used to spy on his brother and complain their mother. That was best holiday of my life. We were all kids, free, careless and had a drone to play around. It was a cute toy that everybody in the neighborhood used to adore.

Image Source: https://gadgetsdeal.in

We used to watch a lot of sci-fi movies, and the notion of a full-scale robot that is indistinguishable from a human used to fascinate us the most. A neighboring guy who returned from Japan after spending most of the childhood there used to tell us the story of how kids over there would fight their home-made robots against each other on heavy bets.

The term AI started making rounds in mainstream media the same time. Artificial intelligence (AI, also machine intelligence, MI) is intelligence displayed by machines, in contrast with the natural intelligence (NI) displayed by humans and other animals. Yes, NI or natural intelligence is a term now.

What is AI?

AI is defined by two definitions that overlap each other at the time of mobile application development and conceptualization.

1. Machines perceives its environment and takes actions that maximize its chance of success at some goal.
2. Machine mimics/ emulate "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".

AI and Drones

Image Source: blog.hbcommunications.com

Did I mention my cousin and I used to control the quadcopter with a joystick? If you look at the 1^st definition of AI, it talks about reaching or arriving at the goal without human intervention. That’s, an AI-enabled drone just need a goal to trigger a series of reaction in order to realize its goal. The goal could be fed to it by a human directly with the help of a computing device capable of natural language processing and run party applications.

The delivery drones and AI

There are many reasons people would prefer a drone over a delivery boy. Drones are cute, they don’t need to call you for direction, they don’t give a damn about traffic, they are harmless, and they don’t expect tips. For businesses, keeping a force of delivery drones is much less of an expense than a team of human delivery boys. They may be costly to procure but they don’t expect remuneration like humans. And with AI, they are becoming as smart as a trained human.

Image Source: https://cdn.technologyreview.com

A delivery drone must be, extremely, cautious of its surrounding and should be able to take decisions on its own. To pick items from one place to another, it must be location-aware and connected to the internet. In addition, it should protect itself from birds and bad weather.

As defined in the second definition of Artificial Intelligence, an important facet of AI enabled machines is this that they can learn from their experience. That is if an intelligent drone learns that the shortest path from A to B isn’t via c but D. It’ll will take the route via D whenever it has to go to B.

My cousin quadcopter with AI: A concept

What if, the quadcopter I grew up playing with was AI enabled. My cousin would never have needed a controller to control it. He would just tell the quadcopter to spy on his brother 10 times a day and it would do that several times a day while my cousin is resting his bumps in front of the video game, sharing popcorn with me. When it is done making the spying round, it would email interesting photos straight to their mother.

That would have made our childhood lazy, have given us a lot more time to play video games, made us lot more arrogant humans who expects things to be done by themselves. After all, technology is supposed to make our life easier and it evolves as our life complicates further. Otherwise, we don’t need a drone in the first place.

The invisible drone

Not in a literal sense but those drones would be so small that they will become invisible at a height to an everyday viewer. Come on, we don’t see every object that flies over us. Even when it does, we don’t give a damn. We have better things to do. For example, my boss’s wife had a birthday last week and it took me three hours in blistering cold to pick her the best cake.

Well jokes apart, they could see you when you couldn’t. If at all they will be visible they would look like a fly. Such a small size means, they can charge their battery with a light source in your house in seconds while looking like an innocent fly enjoying bright light at night.

This one is scary: The drone swarm

Coming back to my cousin’s quadcopter, except this time there will thousands of it together.

They could overpower guns and technology that armed forces have used for years. Think about it: in a city like New York, squads of tiny quadrotors could roam around to gather intelligence.

They can attack a warship while having a footprint too small for a gun or missile to hunt them down. Nonetheless, one missile can hunt down a couple of member, but the swarm will rearrange and keep going.

Pocket Drones

Image Source: lowcost2.ru

Pocket drones are small enough to carry in your pocket without feeling uncomfortable. They fly indoors, in your home and bring your smartphone when you left it in the bathroom, pick your newspaper as soon as you sit on your couch or bring your favorite book or a chilled bottle of beer during bedtime.

Sounds too good to be true! This is just the beginning.

Believe it or not, but the possibilities that the Internet of Things, IoT brings to the table are countless. The internet of things, IoT continues to be the next big thing in technology, and now the new phase of the internet of things is pushing everyone hard to ask questions about the data collected by sensors and devices of IoT.  

Undoubtedly, the internet of things, IoT will generate a tsunami of data, with the swift expansion of sensors and devices connected to the IoT. The sheer volume of data being produced by the internet of things will rise exponentially in the upcoming years. This generated data can provide extremely valuable insight to figure out what’s working well and what’s not. Moreover, the internet of things, IoT, will point out the issues that often arise and provide meaningful and actionable insight into new business opportunities and potential risks as correlations and associations are made. 

Examples of IoT Data:  

• Data that improves productivity of industries through predictive maintenance of equipment and machinery 
• Data that assists smart cities in predicting crime rates and accidents   
• Data that creates truly smart living homes with connected devices    
• Data that provides doctors real-time insight into information from biochips to pacemakers 
• Data that gives critical communication between self-driven automobiles          

That’s great news, but it’s not possible for humans to monitor, analyze and understand all of this data using traditional methods. Even if they reduce the sample size, it will simply consume too much of their time.  Undoubtedly, finding actionable insights in terabytes of machine data is not a cakewalk, just ask a data scientist. The biggest challenge is to find ways to analyze the deluge of performance data and information that the internet of things, IoT devices creates. The only possible way to keep up with the terabytes of data generated by IoT devices and sensors and gain the hidden insights that it holds is using Artificial Intelligence, commonly known as AI.  

Artificial Intelligence (AI) and IoT    

Artificial intelligence, also known as machine intelligence (MI) is the intelligence that is exhibited by machines or software. John McCarthy, the person who coined this terminology back in 1955, describes it as "the science and engineering of making intelligent machines". In a nutshell, AI is a branch of computer science that emphasizes the creation of an intelligent machine that thinks intelligently, the way intelligent humans think and works and reacts like humans.   

In an IoT environment, Artificial Intelligence (AI) can aid business enterprises take the billions of data points they have and prune them down to what’s really helpful and actionable. The general principle is akin to that in retail applications i.e. review and analyze the data you have collected from different sources to find out similarities or patterns, so that better business decisions can be made.  

To be able to figure out the potential risks or problems, the collected data has to be analyzed in terms of what’s normal and what’s not. Abnormalities, correlations, and similarities need to be identified based on the real-time streams of data generated. The collected data combined with Artificial Intelligence makes life easier with predictive analytics, intelligent automation, and proactive intervention. 

Artificial Intelligence in IoT Applications  

• New sensors will enable computers and smart devices to “hear,” gather sonic information about the user’s ambience   
• Visual big data will allow computers and smart devices to gain a deeper insight of images on the screen, with the new AI app that understands the context of images

These are some of the promising applications of Artificial Intelligence in the internet of things, IoT ecosystem. The potential for highly personalized services are countless and will dramatically change the way people live. For example, Amazon.com can suggest what other books and movies you may like, helping Saavn and Gaana to determine what other songs you may love listening, and your family doctor would receive notification if you’re not feeling comfortable.  

Here Are Some Challenges Facing AI in IoT

• Artificial Stupidity
• Complexity
• Safety
• Ethical and legal Issues
• Compatibility
• Privacy/Security 

What’s Next? 

Gartner has predicted that by the end of next year, 6 billion connected devices will be requesting support, which means that processes, technologies, and strategies will have to be in place to respond to them. It is important to think of connected devices less as ‘things’, but more as customers or consumers of services in themselves. The need for Artificial intelligence, AI will become more prominent at the stage when the number of connected devices and sensors increase manifold.

Hope you find this post helpful. If you did, share it with your friends and colleagues. For AI and IoT Courses Online, you can do some research on Google to find the best institute that suits your needs and budget.

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