AI Could Be The Catalyst To Unleash The Power of IoT

Posted By : Anirudh Bhardwaj | 19-Oct-2016

As the time goes by, IoT is expeditiously expanding its network of interconnected devices. Today, millions of devices are connected to the internet in one way or another and the plan is connect 20 billion devices by the year 2020. But the data collected from IoT enabled devices must be analysed immediately and at regular intervals to keep the information flowing from one device to another. It is very crucial for an organization to keep all the interconnected devices in perfect harmony to maintain a steady flow of information which further aids in streamlining the business processes.

 

While there are two ways to do that, the first one is seldom used these days as it is very time-consuming and more prone to errors. The first one is a traditional approach which requires several programmers writing algorithms through explicit programming. The second method is leveraging the benefits of Machine Learning and Artificial Intelligence to find patterns and regulate the flow of information. Machine Learning plays a vital role in alleviating the business processes and that’s why many leading businesses are now moving toward Artificial Intelligence based on Machine Learning.  

 

Also read Leveraging IoT To Streamline Automation At The Airports.


 

Machine Learning, AI And IoT

Today, we have so many IoT devices forming a massive network which uses AI to provide real-time analytics to all the interconnected devices in the network. One living example of this can be seen in Tesla Motors. All the premium cars sold by the Tesla Motors are no less than an IoT enabled device. The cars form a network where if one car learns some new thing, the entire fleet can benefit from that. Such an arrangement can be very helpful for a company that wants to improve its cab services.

 

In the same way, Artificial Intelligence based on Machine Learning can greatly help an enterprise in running all the business operations seamlessly by rendering accurate real-time information capabilities to their IoT devices. Machine Learning is already contributing a lot to the business sector. Especially when it comes to decision making and predictions for the future events, AI and ML have a significant role to play.


 

How Machine Learning Any Different From AI

Now the question that may arise in your mind is, “What is Machine Learning? And how is it any different from the Artificial Intelligence?” Well, broadly defined, Machine Learning is a branch of computer science which gives computers the ability to learn from the past experiences. In this way, you get insights from the computers about important events without any explicit programming.

 

On contrary to this, Artificial Intelligence generally focuses on making the machines capable of thinking and acting like humans. In this context, Machine Learning is just another part of artificial intelligence which makes the machines capable to learn from the experiences rather than being programmed to do so. AI is mainly used for decision-making, visual perception and speech recognition.


 

We at Oodles Technologies provide world class solutions for Machine Learning and Data Mining. Apart from that, we also have a sound expertise in Big Data and Predictive Analytics. We also build collaborative filters and recommender systems.  

 

About Author

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Anirudh Bhardwaj

Anirudh is a Content Strategist and Marketing Specialist who possess strong analytical skills and problem solving capabilities to tackle complex project tasks. Having considerable experience in the technology industry, he produces and proofreads insightful content on next-gen technologies like AI, blockchain, ERP, big data, IoT, and immersive AR/VR technologies. In addition to formulating content strategies for successful project execution, he has got ample experience in handling WordPress/PHP-based projects (delivering from scratch with UI/UX design, content, SEO, and quality assurance). Anirudh is proficient at using popular website tools like GTmetrix, Pagespeed Insights, ahrefs, GA3/GA4, Google Search Console, ChatGPT, Jira, Trello, Postman (API testing), and many more. Talking about the professional experience, he has worked on a range of projects including Wethio Blockchain, BlocEdu, NowCast, IT Savanna, Canine Concepts UK, and more.

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