AI: The Crucial Next Step in the IoT Revolution -
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"If our era is the next Industrial Revolution, as many claim, AI is surely one of its driving forces."
—Fei-Fei Li, Stanford Computer Lab

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AI, The Next Step In IoT

You know about artificial intelligence as a core component in driving digital transformation. The internet of things has emerged to be another component of that movement. But what if you put the two together?

Independently, AI and IoT are undoubtedly valuable to any business. Together, they have the potential to be truly transformative. Enter AIoT, a combined term for AI and IoT that presents the future of connected devices.

Gartner predicts that by the end of next year, 80% of all enterprise IoT projects will have an AI component. The reason: significant improvements in operational, interaction, data management, and analytical business processes.

 

The Evolution From IoT to AIoT

IoT devices may seem smart on their own. In reality, they’re just everyday devices, connected to the internet. They can report on data, connecting to each other to build a more integrated experience on the business end. But, while the consumer market may call them smart, they need artificial intelligence to get to that point.

AI relies heavily on machine learning, the process of leveraging data for self-improving algorithms that improve operations over time. Add that process to IoT devices and processes, and you get a result that truly deserves the smart moniker. Or, as Forbes.com puts it.

“You can think of (the) internet of things devices like the digital nervous system while artificial intelligence is the brain of a system.”

AIoT devices can now proactively analyze data, engaging in predictive analytics that improve efficiencies. Human inputs are no longer needed to make effective, accurate decisions in a fraction of a second. The ability to process massive amounts of data into split-second decisions is already beginning to turn common IoT business practices into transformative micro revolutions.

 

3 Practical Examples of AIoT

The best way to understand how AIoT works is to look at its practical applications. Three examples are particularly relevant in showcasing the advantages of combining AI and IoT:

1. Drone Traffic Monitoring

Recent years have popularized the concept of smart cities, which leverage city-wide data to improve processes like traffic flow. That, in turn, relies on directing traffic to minimize congestion and the resulting delays and pollution.

AI-enabled drones can monitor that traffic in real-time, making adjustments to the flow by sending signals to connected traffic lights. Machine learning can detect and optimize these processes based on accidents, illegal parking, and more to optimize speed and efficiency.

2. Smart Retail

Marketing gets smarter by the day. That’s certainly the case with AIoT retail, which can leverage facial recognition software to identify customers shopping in stores. Data is analyzed in real-time to predict behaviors, optimizing anything from in-store advertisements to product placement. As the Amazon Go test stores show, the right smart technology can even eliminate checkout lines and systems.

3. Smart Office Buildings

Imagine leveraging facial recognition to control building access, or foot traffic monitoring to optimize HVAC systems and lighting. Real-time learnings optimize efficiencies in both cases, even eliminating roll-calls and clocking in to automate processes and improve over time.

 

Ready to Improve Your IoT Analytics & AI Processes?

Ultimately, the rise of AIoT relies on a simple concept: it enables businesses across industries to leverage a combination of IoT information and machine learning to significantly improve decision-making.

And that’s where we come in. Our consulting and analytics & AI services work hand-in-hand, helping you use the data from your processes, IoT devices, and products to put it to work on optimizing for efficiency.

Our mobile, AI, and data analytics solutions have the potential to transform your customers’ experiences and drive powerful business outcomes. Tap into the power of any data in real-time, regardless of volume, type, and velocity. Partnering with OZ helps you effectively integrate, standardize, secure, and manage your data assets. Let’s get started.

Murray Izenwasser

Murray consults with clients to create digital solutions that align with their vision, markets, customers and products. Prior to OZ, Murray co-founded Biztegra, a digital marketing, engagement and technology agency.

He also held senior positions at some of the world’s largest digital agencies, including Razorfish and Sapient, and began his career at what is now Accenture. An IASSC Certified Lean Six Sigma Yellow Belt™, Murray earned his B.S./B.A. in computer science and finance from the University of Florida.

Who is Murray Izenwasser

Murray consults with clients to create digital solutions that align with their vision, markets, customers and products. Prior to OZ, Murray co-founded Biztegra, a digital marketing, engagement and technology agency.

He also held senior positions at some of the world’s largest digital agencies, including Razorfish and Sapient, and began his career at what is now Accenture. An IASSC Certified Lean Six Sigma Yellow Belt™, Murray earned his B.S./B.A. in computer science and finance from the University of Florida.

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