Category: IoT

Hackathon Diaries #7 - The Third Eye

Hackathon Diaries #7 – The Third Eye

May 5, 2023

Greetings, fellow coders and tech enthusiasts. It’s the 7th and final edition of the INT. Hackathon Diaries V1.0. But don’t shed a tear just yet, we will be back soon with the next edition as our in-house masterminds are up and running with new and innovative ideas all the time. We’ve saved one of the bests for last, and it’s a project sure to keep you wide awake: The Third Eye – Driver’s Drowsiness and Mobile Distraction Detection Solution. The Third Eye We all know how dangerous driving is when we’re tired or distracted. It’s like playing Russian roulette with our lives, and those of everyone else on the road. But fear not, as The Third Eye team has come up with a solution that’s so clever, it’ll make you wonder why nobody thought of it before. Using the latest computer vision and machine learning technology, The Third Eye system monitors drivers in real time, watching for telltale signs of drowsiness or distraction. It’s like having a personal wake-up call or a stern aunt, reminding you to keep your eyes on the road and your hands on the wheel. It is to create the leeway to a sustainable and protected world while driving. The Team Arijit Datta Arnab Kanti Ghosh Pabitra Bhunia Nitesh Kumar Singh Rahul Lohar Suva Samanta Explosive Growth in the Market  Per recent reports, the global market for drowsiness monitoring systems was valued at a staggering $2.2 billion in 2019 and is projected to grow to $3.3 billion by 2027 with a CAGR of 5.2% during the forecast period.  But that’s not all, folks. The global market for distracted driving prevention technology is expected to explode from $1.27 billion in 2019 to a whopping $2.9 billion by 2025, with a CAGR of 12.7% during the forecast period.  These numbers speak volumes about the urgent need for cutting-edge solutions that keep drivers alert and focused behind the wheel. So get ready to join the race to the top as we explore the latest developments in driver safety technology that are taking the market by storm. Resolution Realms Scope 1 – Drowsiness Detection Prepare the dataset: Collect and prepare data for drowsiness detection. Augment the data: Improve the model’s performance by data augmentation techniques. Split the dataset: Divide the prepared dataset into training and testing sets. Configure the model: Customise the YOLOv5 model for drowsiness detection by modifying configuration files to specify hyperparameters, input image size, and a number of classes. Train the model: Train the YOLOv5 model using the prepared training set and the configured model. Evaluation: Measure the model’s performance on the testing set using evaluation metrics such as precision, recall, and F1 score. Fine-tune: Adjust the hyperparameters and retrain the model on the entire dataset or a subset of it to fine-tune the model. Deployment: Integrate the trained model into a mobile or web application for real-world drowsiness detection. Scope 2 – Mobile Phone Distraction Data collection: Gather a dataset of images depicting instances of mobile phone distraction. Data Preparation: Transform the annotations into a format that is compatible with YOLOv5, such as COCO or YOLO. Model configuration: Set up the YOLOv5 model to recognize mobile phone distractions. Model training: Employ a deep learning framework like TensorFlow or PyTorch to train the YOLOv5 model on the training set. Evaluation: Test the trained model on the test set to determine its accuracy and performance. Deployment: Deploy the trained model onto our device. Alert mode: Once our device detects a driver using a mobile phone while driving, it will emit a continuous alert message until the driver puts down the phone. Tech Stack AI/ML Azure Map Service Smart Band Edge Computing  IoT Wow Factors Scene 1: Driver wearing sunglasses Infrared (IR) cameras detect the heat signatures of objects, including human eyes, even when they are partially obstructed by sunglasses. Scene 2: Driving at night Night Vision Camera tracks the driver’s face and eye movements. Scene 3: Presence of multiple faces before the camera Detection of only the front face. Conclusion Stay tuned and keep your eyes peeled for the next edition, where we’ll bring you more cutting-edge solutions and innovations that are driving the industry forward. See you there.

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10 Tips to Optimize Your Explainer Video for Search Engines

The Tech Opportunity In Indian Healthcare Services

April 4, 2022

The marriage of Indian healthcare with technology has been a productive one, with both parties anticipating a never-ending honeymoon ahead. If there were ever a metaphorical statement for the rapidly growing health-tech segment in the country, then this would be it. In fact, even NITI Aayog agrees, based on the clarion call given by its CEO, Amitabh Kant, highlighting the growing health-tech opportunities to the Indian healthcare system.   Governmental Innovation Is Propelling The Sector The Indian Government is laying a steady foundation for the growth of digital healthcare and newer platforms. The Ayushman Bharat Digital Health Mission has been a game-changer and Amitabh Kant, the NITI Aayog CEO, stated that it is now on the technology players, start-ups, and healthcare players along with other stakeholders to create new offerings in the field of digital health which meet growing demand and spur the same as well. Amitabh Kant’s statements came at the 8th Annual Summit of Nathealth and assume greater significance once you consider the backdrop. The country already has the infrastructure to create “compelling, accessible healthcare solutions that provide equitable access and can be rapidly deployed and scaled up” as per Kant. Take other factors into consideration like the increasing penetration of internet connectivity and smartphones throughout the country and the increasing trend towards e-pharmacy, telehealth, and digital healthcare solutions during the COVID-19 pandemic, and you get the picture. Digital healthcare or health-tech presents a massive opportunity for growth, particularly in still-nascent segments like technology-driven home healthcare, e-diagnosis, and e-pharmacy services. Conventional healthcare institutions, investors, and start-ups would find this the right time to enter the space and “build a position which would be hard to beat in subsequent years” according to Kant. Now take the National Health Policy of 2017 into context. It creates a roadmap for creating a digital health-tech-based ecosystem and integrates various aspects like health delivery, cloud, wearables, and IoT (Internet of Things). It also envisions a National Digital Health Authority for the regulation, development, and deployment of digital healthcare solutions throughout the entire care spectrum. The policy recommends deploying digital solutions for greater efficiency of the entire healthcare setup along with better outcomes, in addition to ensuring a healthcare information system that caters to all stakeholders. The aim here is to ensure superior outcomes in terms of quality, access, reduced disease burden, affordability, and better tracking of health-based citizen entitlements. Some other Government initiatives that have struck a chord include the following: The National Health Stack concept, which became the National Digital Health strategy and the final National Digital Health Mission, launched on 15th August. Integrated health data and information portal with the aim to integrate EHR within the purview of the medical setup. Pradhan Mantri Jan Arogya Yojana 2.0 IT portal which wishes to integrate insurance and provider platforms for various benefits. Every individual will have a health ID, offering access to integrated healthcare solutions, enabling Universal Healthcare coverage and delivery. How And Why India Is Bullish On The Health-Tech Opportunity? Consider a few facts in this regard: E-health services and similar platforms may completely revolutionise healthcare. 65% of current e-commerce users are projected to use digital healthcare offerings in the future. Nathealth created its vision paper which emphasised Rebuilding, re-structuring, and re-imagining resilient healthcare systems in India in a post-pandemic era. The clear takeaway is that the pandemic ushered digital healthcare into the mainstream and consumers now consider it a necessary service. KPMG reports indicate a valuation of INR 116.6 billion for the digital healthcare sector in 2018 while this is anticipated to touch INR 485.4 billion by the year 2024, indicating a 27.4% CAGR (compounded annual growth rate)  in this period. With face-to-face interaction going down, patients are increasingly opting for online services in healthcare, with a demand for solutions that enable more affordable healthcare consultations and accessible interfaces. The digitalisation of the healthcare space is helping in filling up availability gaps in Tier-II cities and rural zones. E-Pharmacies have also helped in transparent price listings and better consumer options along with better accessibility. KPMG estimates this opportunity at a whopping $30 billion in healthcare technology. It has also talked about how start-ups will play vital roles in enabling healthcare access throughout the country. Estimates of 70% of the population of India (roughly 892 million individuals) living in rural zones with limited/zero healthcare access and the fact that India spends just 4.7% of the GDP on healthcare, throw up the magnitude of the opportunity. KPMG encourages start-up hubs for encouraging more players to invest in the health-tech space and advocates national and local Governmental support for the same along with a health innovation fund. The biggest pharmaceutical players, hospital brands, and diagnostics brands should adopt a mentorship role and sync with these health-tech companies. The market size was estimated at $830 million for telemedicine in India (as of 2019). It is projected to shoot up to $5.5 billion by 2025 (indicating a 31% CAGR). The NITI Aayog and Ministry of Health and Family Welfare have already released their telemedicine guidelines, with more than 1 million consultations taking place by December 2020 via e-Sanjeevani in 550 Indian districts. Health-tech in India grew by 51% (annual) in 2021 as per Redseer, collectively encompassing consultation, pharma, and diagnosis. 47% is the growth in the NPS (Net Promoter Score), indicating how customers are more inclined towards using e-health platforms and are clearly recommending them to their loved ones. The Redseer report also highlighted how the average consumer acquisition cost had reduced for players, indicating scope for growth and profitability. E-Pharma still dominates this segment owing to rewards and discounted offerings. Redseer estimates acceleration in GMV to $9-12 billion by 2025 for the e-Health space and possibly $40 billion GMV by 2030. The Take-Aways (What Is Happening And What Can Happen?) Indian mainstream healthcare is at the tipping point of future-proofing itself through technology, while meeting rising demand via technology. These are the core takeaways that we need to keep in mind. Indian healthcare industries

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Enterprise Mobility – “Third Screen” Facilitating a World of Connected Devices

Enterprise Mobility – “Third Screen” Facilitating a World of Connected Devices

November 22, 2018

“Mobility is here to stay. It will only grow bigger and become more connected.” Enterprise mobility solutions can be defined, in simple terms, as the world of connected digital devices. Mobility means opportunities to reinvent business processes, giving access to information that is relevant and important at that point in time. It actually results in increased productivity at a decreasing cost – creating new revenue streams to engage customers in new and more agile ways. The main focus is a major transformation to unlock values at the backend data and deliver user-centric data in content to experience that transforms a system of record into a system of engagement. Business needs a solution to shift enterprise IT towards more agile mobile app development and deployment. Defining Enterprise Mobility Solution Strategy If you look at the meaning of strategy in the www.businessdictionary.com you will find that strategy can be defined in two ways: A method or plan has chosen to bring about a desired future, such as the achievement of a goal or solution to a problem. The art and science of planning and marshalling resources for their most efficient and effective use. Enterprise mobility solution is not rocket science. It is actually a well-planned structure comprising of the solutions of the existing problems. Here you will get a clear idea about what exactly is enterprise mobility strategy. We have divided the meaning into three parts for your better understanding of the concept. To structure and deliver information where it is required and when it is required Integrate technology, people and processes for efficient and effective delivery of the core business functions to the several business units present within the organization Aims at offering solutions to various existing problems of the organization related to developing as well as the delivery of mobile apps and implementing timely responsiveness to users. Source: medium.com/@maulikkotakstar/ Need for Enterprise Mobility Solutions in an Organization Let us look at the points below to get an idea of why EMS is required in an organization. Enterprise Mobility strategy ensures and evaluates: The present mobile landscape in the organization The organization’s mobile capabilities currently Potential threats related to mobility faced by the organization Evaluating the risks related to the protection of information within the organization as well as by means of corporate devices. Analyzing the impact mobility strategy will have on the functioning of the organization in future Effect of mobility on the partners, vendors, and clients of the organization and to what extent will it affect them. Enterprise mobility solutions will ensure that the organization has a well-structured and maintained mobile infrastructure. To ensure executive ownership, EMS should be inculcated in the strategic roadmap of the organization. The whole trend is shifting towards a work culture where employees will be working n business tasks sitting at home with the use of smartphones and cloud storage services. Vital Phases of Enterprise Mobility Solutions to Strike a Chord within Organization The whole idea is to simply put people, processes, and technology together powered by wireless networks which facilitates managing of the mobile devices and other computing services within the context of business. These solutions aim at those applications which help in getting the work done through smart devices like smartphones or tablet. Infinite Opportunities is directly proportional to the well-oiled enterprise mobility structure in the organization. Source: https://medium.com/@maulikkotakstar/changing-trends-of-enterprise-mobility-in-2017-53c0b89e8777 Enterprise mobility is an advanced technology that offers new-age companies a promising platform in terms of collaboration and productivity. The four important phases of Enterprise mobility are as follow: Target User: The first and foremost factor which one should take into account is the exact profile of the target user and from where there is a probability of getting business. The profile of the user should be at par with the industry objectives – keeping in mind the nature of business the enterprise wants to achieve through EMS. Objectives to be achieved: The organization has to be well-researched on places where mobility solutions can be inculcated in the daily business processes through connected devices. Before implementing mobility solution strategies the business should have a pre-set objectives which would define the goals they need to achieve. Approach: The operational tactics should be chalked out and implemented to meet the core objectives of the business, right after the alignment of the business objectives with the target group of users. Technology: Choosing the right technology is very essential for mobility initiatives. It would help in choosing the right platform and mobile devices as well. What More to Accept From Enterprise Mobility Solutions? Enterprise mobility solutions are essential for creating a bond between the various elements of the organization. Let us check how EMS connects to the vital parts of the organizational infrastructure: Implementation of EMS can help to improve the productivity of the various departments within the organization and facilitate business growth in this cut-throat competitive market. EMS provides a business-friendly work culture in the organization with innovative flexibility standards by building mobile applications through which the business reaches its target group far and wide, utilizing the technology to the fullest. With enterprise mobility, the organization is all set to handle each and every business responsibility with utmost care. The mistakes related to security can be averted by means of password protection, data loss prevention technology, and remote wipe capabilities. With EMS the constraint related to place, time and position have been eliminated to a great extent. Now businesses are connected to online media where it is accessible to millions of customers globally. This would help in the earning of profits for the business as they are actively participating in the global market. Source: https://devbatch.com/how-are-enterprise-mobility-solutions-changing-in-2018// Enterprise Mobility Solution Future Trends Enterprise mobility is advancing with the progressing time. Soon all multinational companies and business enterprises will have mobility solutions incorporated in their organizational infrastructure for a seamless workflow. The whole idea behind mobility solutions is to increase the level of comfort for employees, which in turn will increase their productivity in a conducive and favourable

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How Internet of Things Is Redefining The Retail Experience

June 19, 2018

While most of us have remained busy discussing how quickly online shopping has gone mainstream, a quiet revolution is growing in the retail sector across the world. Internet of Things is breathing life into dying retail spaces while invigorating newer and more creative retail units. IoT-enabled shopping is taking online e-Commerce space by storm too, enhancing logistics, delivery, and even the shopping experience. With more than 30 billion connected devices available by 2020, IoT is leading all technological innovation in the retail sector. From improving products to reducing energy consumption, and from enhancing marketing outcomes to improving customer experience, IoT is practically all over the place. Most importantly, all the accumulation of data is helping companies to gain new insights, and enhance products and customer experience, while witnessing double-digit growth rate. Amazon Go is a great example of this revolution. In this article, let’s take a look at how IoT is helping both offline retailers. Let us also briefly look at some of the top trends in retail with IoT devices in mind. How Internet of Things is helping brick and mortar stores as well Thousands of stores are shutting down, malls are going out of business, and retail stores simply aren’t able to catch up with the speed of digital shopping. In addition, people themselves have begun to prefer ordering products online than making a trip to the nearest mall or supermarket. Retail sector all around the world has much to worry about and resent. Yet, there is a silver lining in every cloud. IoT is helping retailers across the world to not only thrive but also attract more customers than ever to their stores. Vending machines are being revolutionised across malls and public places as customised orders and products can now be placed. Interactive displays and digital signage are helping customers to shop better and reach out right counter or shelf, depending on the in-store choices they make. Few retailers may offer virtual and smart mirrors, which provide information about the clothes they are trying. If the particular shirt a man is trying is green when compared to the one he just tried earlier, why not urge him to buy that automatically? Beacons and RFID tags can be further enhanced with sensors. IoT-enabled beacons can be used to recognize facial expressions, customer behavior across shopping aisles, and other such information. This can be used to enhance customer experience. IoT most importantly hastens the checkout process. Both retailers and customers can bid goodbye to lengthy queues at the billing counter, thanks to self-checkouts. Hottest trends in the retail sector depend on IoT If there is one thing that is going to sustain retail, it is IoT. Let us take a look at few situations where IoT is helping retail to innovate, sustain, and thrive. Marketing is easier than ever IoT is responsible for making marketing easier than ever. It provides the tools required for making both omnichannel and multichannel marketing successful. Sensors are increasingly being used by retailers to help customers. IoT sensors also help stores to engage in in-store marketing. Coordinate with customers quickly One of the factors that set IoT apart is its ability to communicate not just between devices or sensors, but also enhance communication between the retailer/manufacturer and the user. This helps store owners to coordinate with customers quickly in case products need maintenance services, or if there is an update to be installed. Download our case study on Konvergence’s K-Wallet, which revolutionized retail shopping some time ago. Customising customer experience There are sensors for tracking virtually every behaviour of a customer. When done ethically, sensors can provide valuable data that help manufacturers to enhance customer experience. Whether it is about enhancing certain product features or bringing better customer service, IoT can do it all with an ease and pomp. Create better product ecosystems Manufacturers and retailers have begun to tie up to provide better customer experience, using sensors. This is helping create new opportunities for better product ecosystems. Customers have options for maintenance, servicing, updating, or choosing from related products post-sales as well. Automated orders of spare parts when they need to be replaced is just one example of this ecosystem. Optimise logistics and inventory handling IoT’s is creating improved efficiency inventory handling and logistics management. Businesses are literally growing because they can deliver products quickly, and replenish stocks. IoT is helping businesses to ensure retail never faces a hitch due to product unavailability or delayed shipments. Data-derived insights IoT, as we all know, gathers and processes enormous amounts of data. All this data is fodder for analytics and insight deriving, and that’s exactly how businesses are using IoT data. Insights derived from product usage, product malfunctioning, customer behaviour, and other such situations continually help retailers and manufacturers to enhance customer experience and product enhancement. We had written an article a little while ago, describing how data analytics and AI both are going to influence IoT in the coming months and years. Read More about How to Manage Your Online Store in 2019? IoT-enabled retail is here to stay As you can see, IoT is quietly bringing formidable changes to both online and offline retail spaces. It is also changing the way retail manufacturers manage their business. Considering how quickly IoT is taking over retail, and how it is sustaining all the players in the space, it is worth observing the technology more keenly. In the near future, IoT enabled sensors will help retailers improve marketing, bring better customer experience, and enhance product support to users. Security may seem like an issue with all the IoT related data being generated, but we recently wrote about how to handle those issues. While we are at it, do take a look at some of the most valuable programming languages to learn, if you wish to develop for IoT yourself. Last but not the least, IoT will help businesses of all types to derive useful insights which will help improve products and customer experience at the same time.

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Google IO – Here Are All The Updates You Need

May 11, 2018

Do we need to tell you what Google IO is? A developer festival this big and probably the biggest in the world needs no introduction. This year’s Google IO was held 8-10 May at Mountain View, California. Thousands of developers and tech geeks from around the globe got together to learn about latest developments and products from Google. We came across some path-breaking updates which made everyone burst with excitement. If you weren’t able to follow the event, no worries, here are the updates for you. That's a wrap from #GoogleIO! Here's everything Google unveiled at its biggest conference of the year https://t.co/9XXZqM0dwU — Business Insider (@BusinessInsider) May 8, 2018 Google is taking its predictive text features to the next level, this is Smart Compose, which autocomplete was your sentences as you type in Gmail #GoogleIO pic.twitter.com/6YjPsIPew6 — Karissa Bell (@karissabe) May 8, 2018 Google Photos getting new AI actions. Will offer one tap retouch options, convert documents into PDFs and turn old black and white photos into color. #GoogleIO18 pic.twitter.com/ASQwlHSaL6 — Rich DeMuro (@richontech) May 8, 2018 https://twitter.com/thekenyeung/status/993900314154565632 VERY deep dive into the new News app. Which is another way to underscore the theme "You can trust us. We promise that if we're hauled before Congress, it'll be only over antitrust stuff." #googleio18 — Andy Ihnatko (@Ihnatko) May 8, 2018 "UX isn't fonts or shades of blue, it's moments for your users"Awesome talk about making better experiences with @_davideast#io18 #googleio18 #Firebase pic.twitter.com/wq7z6Ug1B8 — Derek Pastor (@DerekJonPastor) May 10, 2018 6 new voices are added to the google assistant with the goal to get the right accents and dialects correct and they are featuring the sexy cool John Legend…oh yeah!!! #GoogleIO #googleio18 — Lynette Anthony Hundermark (@LynetteAnthony) May 8, 2018 Miss Google's #io18 keynote yesterday? We have you covered 💪 And it's all under 5 minutes ⏰ pic.twitter.com/lfdxLxxLlz — CNET (@CNET) May 9, 2018 The web is so much more powerful today, developers need to catch up! #io18 pic.twitter.com/IH49Wlyejp — Ire Aderinokun (@ireaderinokun) May 9, 2018 Watch this brilliant demonstration of @google's AI-powered personal assistant have a "human-like" conversation with a real person, via @sundarpichai #io18 pic.twitter.com/tXykdPccbH — Vala Afshar (@ValaAfshar) May 9, 2018 Updated: What’s New in Android? #io18 #sketchnote pic.twitter.com/CoxiJev2CH — Corey Leigh Latislaw 💄 (@corey_latislaw) May 9, 2018 One of the new features I'm so excited about at #io18 this year – Motion Layout a subclass of ConstraintLayout allowing for easy animations 🤩😍 pic.twitter.com/8LpQiNbIHM — Rebecca Franks (@riggaroo) May 10, 2018 What do you think about the latest developments on ‘Google Assistant’? Is it creepy that it would now be able to make calls for you or is it absolutely fantastic and a whole new level of evolution in the world of technology? Let us know your thoughts.  

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Next-level Data Analytics and AI to Unlock IoT’s True Potential

May 7, 2018

To imagine that physical objects could be connected to the Internet and that they could communicate with each other at the same time seemed ludicrous even a decade ago to most people. However, Internet of Things (IoT) is real, and it is here. This system of connected devices connected to the Internet via sensors and churn out a large amount of data. IoT-enabled devices are no longer mysterious. They are used in the health sector, smart homes, vehicles, gadgets, and just about everywhere else. It shouldn’t come to us as a surprise that all these devices result in large volumes of data, adding to what is often called the Big Data. While this data may seem insurmountable, and sometimes even redundant, artificial intelligence and data analytics can empower users, manufacturers, and businesses to venture into unchartered territories. In this article, let us take a look at how artificial intelligence and next-level data analytics are helping to unlock the potential of IoT. What’s the problem with IoT today? While most devices manufactured today have some level of IoT enabled in them, there is a lacuna of sorts, when it comes to the actual utilization of the technology. This is because, at its simplest, IoT connects devices using sensors and Internet, but there is no way to really understand the data that is produced or to enhance features that already exist. While IoT has helped millions of people to communicate with their cars, homes, machines in factories, etc right from the smartphones, a lot of data that is churned out by these IoT-enabled devices is simply ignored. Artificial intelligence and advanced data analytics can help to put IoT data into perspective. Whether it is data from medical devices or from IoT-enabled cars, analyzing this deluge of data is humanely impossible. Next-level data analytics use predictive analysis, advanced statistics, and other methods to provide insights from both structured and unstructured data. Most importantly, ignoring all this valuable data can prove to be disastrous to the society as a whole. Data is too large and complex It is not humanly possible to derive useful insights from so much of data When data isn’t analyzed or understood, valuable opportunities are missed Underutilization of data may also result in disastrous outcomes The answer lies in next-level data analytics and artificial intelligence How can data analytics and artificial intelligence take IoT to the next level? Data Analytics derives meaningful conclusions by examining data sets of various sizes. Conclusions can be used to identify patterns, trends or even predict certain outcomes. These conclusions help businesses to improve their products and services, come up with better business strategies, and make effective decisions. In addition, deriving useful conclusions from datasets will help businesses to drive revenue and profits, and gain a competitive edge. Datasets that can be used from different sensors include: Data from video and audio streams Data from geo-location sensors Data related to product usage. This may or may not be linked to sensors. Data from social media System log files There are different types of data analytics that can be used with IoT-enabled devices. Some of those are: Streaming Analytics: This uses real-time data streams to track traffic, transactions, etc. This is most helpful to understand situations where immediate action is required. Spatial Analytics: As the name might suggest, this kind of analytics uses location-based data to understand trends in usage. Time-based Analytics: Using time-based data is important too, and provides valuable information about health, weather, product usage patterns, etc. Prescriptive Analytics: This uses predictive analysis, and sometimes includes descriptive analytics. This helps companies to improve products and services and has wide-reaching commercial uses. There are a number of ways businesses can take IoT to the next level by using Data Analytics. Data insights can be used for the purpose of marketing and product usage analysis. The insights can help not only consumers but also businesses. Video and audio analytics, social analytics, etc. are opening doors to analyzing emotions and behaviors of people. This can be particularly useful to avert emergencies in crowded places or to improve products. Turbo-charging IoT with Artificial Intelligence A Gartner study predicts that more than 80% of IoT projects will involve an AI element, and that is a whopping 70% increase from today’s situation. Most organizations are looking at machine learning and deep learning to unlock the potential of IoT. Machine learning identifies trends and patterns within data sets, and also pinpoints anomalies if any. Machine learning makes identification of patterns more accurate as it does not depend only on numbers, but also on other aspects. Speech and facial recognition, emotion and behavior analysis, and predictive maintenance are all aspects of AI that will help take IoT to the next level. Imagine being able to predict the time for servicing a gadget based on an individual’s frowning patterns? This can happen. Artificial Intelligence is also being used in risk management, and avert disasters and emergencies from occurring. Machine learning enables a software “agent” to identify patterns in a dataset and use those patterns to learn how to adjust the way it further analyses data. The best example would be movie recommendations on Netflix or playlists on Spotify and Apple Music. Machine Learning can identify usage patterns in IoT and help manufacturers to improve customer experience. On the other hand, businesses can benefit from the competitive edge, improved products and services, and enhanced revenue-making potential. Need for implementing AI and Data Analytics quickly As you can see, you cannot remove artificial intelligence or data analytics from IoT. IoT without these two important technologies will simply enable devices to communicate with other and there is no room for improvement of products and services or opportunities to identifies usage patterns and trends. Both Artificial intelligence and Machine Learning take IoT to the next level and help customers and businesses to unlock experiences and opportunities they never knew existed. The future of IoT certainly vested in the implementation of Artificial Intelligence and Data Analytics. Sooner

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