On-demand webinar AI in Production

By Insight Editor / 25 Apr 2020 / Topics: Data and AI Intelligent edge

Concept of artificial intelligence generated brain in a box. AI, Internet of Things, IOT, Real-time data.

It’s no secret that Artificial Intelligence (AI) and Internet of Things (IoT) solutions will become a key differentiating factor for businesses in the next decade. But what does it take for an organization to bring an AI initiative from Proof of Concept (PoC) to production?

In this on-demand webinar, chief architects and data scientists at Insight, Intel and Microsoft explore the drivers, best practices, common pitfalls and ethical considerations behind deploying AI on the edge. Through real-world examples and sample scenarios, we’ll take you through each phase of the production journey and give you the information you need to start your project off on the right foot.

Presented by:

Ben Kotvis

Principal Architect, Insight

Ben has had a long career in software architecture in which his hunger for finding new and innovative ways to improve processes landed him in a software engineering role 20 years ago. Since then, he has served some of the largest organizations in the world as a consultant and subject matter expert in software development, architecture, IoT and microservices. He served as a chief architect and worked closely with partners like Microsoft, Intel, and Google, presenting solution all over the world. He excels in his ability to understand a problem from a broad perspective, break the pieces apart, and provide practical solutions that are robust and easy to understand. What he finds most rewarding is to mentor colleagues and clients in a manner that empowers them to innovate on their own and advance their career long term.

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Robert Daniels

Principal Data Scientist

As a principal data scientist, Robert Daniels has been working in predictive analytics for 13 years, the majority of which were spent in the Gaming Industry. Robert created a computer vision project to “count cards” in real time of a blackjack table using “eye in the sky” security cameras. The casino used this information to automate player skill reports and help the accuracy of table game ratings for marketing departments.

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Daisuke Nakahara

IoT Solutions Architect, Microsoft

Daisuke Nakahara is an IoT Solutions Architect at Microsoft and has been with the company since 1997. He started as a Windows developer working on hardware components, and later gained expertise working with OEMs to build Windows PCs. Most recently, his past four years of experience in IoT focus on device to cloud, including AI and the intelligent edge.

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Tiffany Sargent

Chief IoT Architect and Senior Principal Engineer, Intel

Tiffany has been with Intel more than 25 years, working nationally and internationally. Today, Tiffany works with partners to define an integrated technical and business strategy that integrates the Internet of Things (IoT), Machine to Machine (M2M), complex systems and distributed analytics. She’s held positions as a strategist, innovation manager, operations manager and program manager. Tiffany is also a recipient of Intel's highest award, the Intel Achievement Award, for innovative cyber-security solutions.