Businessman looking at laptop

When IoT Met AI: The Intelligence of Things

Autonomous cars, advanced manufacturing, and devices that turn themselves off! Our exclusive event, “When IoT Met AI: The Intelligence of Things”, discussed the rise of smarter, cheaper sensor technology and smart devices connected to the Internet of Things and the technology that makes sense of it all. As we know, data means nothing without context.

First, we ask ourselves a few important questions:

  1. What is the current intersection between AI and IoT?
  2. What kind of timelines should we be considering when thinking of AI’s growth?
  3. And how do we move from today’s data mining and analytics to tomorrow’s predictive analytics?

What does this mean for our connected world? Here are our highlights of When IoT Met AI: The Intelligence of Things!

Opening Keynote:

Tom Stuermer, Global Managing Director of Ecosystem Partnerships at Accenture, shares how businesses are focusing on “how” to collect data from connected devices, instead of thinking about “what” to do with the data that they collect.

More Key Highlights:

  • Professional race cars have gone from producing megabytes to terabytes of data per hour in less than two decades.
  • Cars have reached the point where they can use AI to make decisions independent of human intervention.

Yet, Tom believes that enterprises are just scratching the surface of using big data to make predictions and projections at scale.Businesses are focusing on “how” to collect data from connected devices, instead of thinking about “what” to do with the data that they collect. Tom suggests that companies take the time to train AI models with a large base of cleansed data while under a controlled environment. This balance of human supervision can drive better real-time decision-making.

Where are we with AI and IoT?

Our panel discussion took on the issue of how today’s AI impacts the growth of IoT and the directions that we should expect AI to drive the connected world. We were honored to host the following industry experts as panelists:

More Key Highlights:

  • Modar Alaoui: “When we talk about AI today, we talk about deep learning. When we talk about deep learning, we talk about supervised learning. Until there is unsupervised learning, code that writes its own code, we’re still at the mercy of [people] who annotate and label data.”
  • Janet George: “When you’re tackling 78 billion rows of data, I’m telling you programming falls flat. You cannot do programming, you have to get into data science. You have to get into AI.”

Live, 1-on-1 Interviews with Expert Speakers

We teamed up with SiliconAngle’s theCUBE for live coverage from When IoT Met AI: The Intelligence of Things.

Janet George, Fellow and Chief Data Scientist, Western Digital, is investigating the technology that underlies machine learning and neural networks.

More Key Highlights:

  • Training models for neural networks depend on correct labeling.
  • Neural networks need labels to understand what patterns and qualities to look for in large datasets.
  • Enterprises gain from machine learning and AI the ability to optimize failure analysis.

Smile! Your Face is Being Recorded by Robots

Modar Alaoui, Founder & CEO, Eyeris, is developing software that reads human emotions in real-time to create safe driving conditions.

More Key Highlights:

  • Facial recognition technology has been around for years, popping up in identification systems for computers and other devices.
  • His team is working with Toyota and other major automotive manufacturers on software that prevents driver distraction and sleepiness.

Shaun Moore founded, a four-year-old startup, to open the possibilities of facial analytics to the world.

More Key Highlights:

  • His company is building out an API for developers and other technologists to uses as a plugin.
  • The company already has applications in face matching, face detection, and spoof detection for ATMs and ships.

Bigger Than Big: Data That’s Fast and Intelligent

Dave Tang, Senior Vice President, Western Digital, wants to fulfill the promise of data by going beyond data collection and storage to insights.

More Key Highlights:

  • The more data that we generate, the more uses that we find for that data.
  • Big Data means large pools of data that can be used for predictions and prescriptive recommendations
  • Fast data means data that can be accessed quickly for real-time decision-making.

Co-founded by Scott Noteboom, Litbit combines the power of subject matter experts and sensors at the edge.

More Key Highlights:

  • AI personas can be trained to monitor multiple work environments at that same time with the precision of human experts.
  • Litbit is using AI personas to transform manufacturing, construction, healthcare, facility management, and data centers.

Mike Wilson, CEO, BriteThings, thinks that AI and IoT can help save our planet’s climate.

More Key Highlights:

  • BriteThings produces intelligent plugs, power strips, and wall sockets.
  • Instead of manual unplugging, these smart devices automatically shut themselves off when they aren’t in use.

Thank You!

We had a great time meeting and talking with industry experts about the convergence of AI and IoT! It seems like we’re learning how to not only collect data but gain deeper insights. Best wishes to each of the companies that partnered with us for this important event. Let’s continue to drive the conversation about AI and IoT.

[poll id=”51″]

1 Comment

  1. Its a great combination. Data is a big thing which cannot be handled without the internet of things and machine learnings in today’s era of digitisation. Thanks for providing the above information.

Comments are closed.