Intel Internet of Things

| May 19, 2016

article image
The Internet of Things (IOT) will soon produce a massive volume and variety of data at unprecedented velocity. If "Big Data" is the product of the IOT, "Data Science" is it's soul...

Spotlight

Chui

Chui’s first product is an intelligent doorbell. By utilizing a blend of facial recognition and proprietary technology Chui is capable of learning with time to make our homes safer, and our experiences with connected devices intelligent; Chui does more than enable a house that is smart – it shapes a home that is you. Chui can be proactively set to recognize individuals and perform tasks unique to them. Among other functions, when paired with a connected lock Chui unlocks one’s door and enables other connected home devices, setting them to the preferences of recognized individuals. Facial Recognition is just one differentiating factor that was added to help solve interoperability and functional issues caused by the industry’s current dependence on smartphones.

OTHER ARTICLES

Practical AI – A Serious Issue for Industrial IoT

Article | February 28, 2020

While the Industrial Internet of Things (IIoT) is maturing rapidly, there’s often a strong link to Artificial intelligence (AI) and Machine Learning (ML) tools to manage data flows. This raises a host of challenges including connectivity, security, storage and modeling requirements. Designers of IIoT devices and larger deployments must build in contingencies for shifts in these areas or risk falling short. While IIoT is gaining in maturity, the overall market still has many challenges to overcome. Some of these challenges are technical barriers to IoT device operation, such as connectivity standards and battery technology, but the picture is even wider than that. The world of IIoT not only requires IoT hardware to operate reliably and efficiently in all environments but also relies on supporting networks and services too. The result is that IIoT deployments cannot be viewed as isolated technology upgrades or productivity drives, but highly interconnected ecosystems sensitive to a wide range of variables – in particular the developing world of AI.

Read More

AI + IoT = Automating and Analyzing Data Collection

Article | February 18, 2020

IoT is huge, but AI has the potential to supercharge the technology even more. Gartner predicts that this year 80 percent of all enterprise IoT projects will include AI. One area where many have been critical of IoT is a lack of good security. When coupled with AI, that could be improved, but some worry that AI can also be used as a tool to defeat IoT security. Dean Chester, cybersecurity author, wrote that “AI can be used for IoT security, or it can be used against it.”Melvin Greer, Chief Data Scientist, Intel Americas , said that “AI and IoT are no longer in separate swim lanes. AI closes the loop in an IoT environment where IoT devices gather or create data, and AI helps automate important choices and actions based on that data. Today, most organizations using IoT are only at the first ‘visibility’ phase where they can start to see what’s going on through IoT assets. But they’re moving toward the reliability, efficiency and production phases, which are more sophisticated and require stronger AI capabilities.

Read More

Connected Fleet Management: Why a Unified Network is Key

Article | April 15, 2020

As consumer demands evolve, fleet managers are turning to IoT to deliver products faster and more efficiently. The progress being made in edge computing represents the full potential of IoT: the power of data on the move. However, operating on the edge also reveals some of IoT’s greatest challenges: maintaining network security as the number of endpoints multiplies; rethinking traditional business models as industries become increasingly interdependent; and, perhaps most importantly, establishing a seamless, reliable network across borders, cultures, and regulatory environments.

Read More

The Rise of the AIoT

Article | March 3, 2020

Artificial intelligence (AI) has existed in the public consciousness for decades. The (mostly) sentient machines playing the villains in Hollywood movies have never been realistic depictions of the technology, but they have left an impression, nonetheless. AI has proved as exciting to the layman as it is to the expert. Usually based in remote data centers, AI is capable of collecting and examining immense volumes of data, generating insights based on analytical algorithms. With varying degrees of autonomy, these capabilities have been put to use streamlining decision-making processes. While AI is often thought of as a product in its own right, it is increasingly intersecting with other parallel trends. Chief among these is the Internet of things (IoT), which enables previously isolated machines to “talk” to one another and, at the same time, generate data that makes new modes of operation a possibility.

Read More

Spotlight

Chui

Chui’s first product is an intelligent doorbell. By utilizing a blend of facial recognition and proprietary technology Chui is capable of learning with time to make our homes safer, and our experiences with connected devices intelligent; Chui does more than enable a house that is smart – it shapes a home that is you. Chui can be proactively set to recognize individuals and perform tasks unique to them. Among other functions, when paired with a connected lock Chui unlocks one’s door and enables other connected home devices, setting them to the preferences of recognized individuals. Facial Recognition is just one differentiating factor that was added to help solve interoperability and functional issues caused by the industry’s current dependence on smartphones.

Events