What It Takes To Accomplish AI At Scale

I founded Hypergiant in early 2018 to focus on solving humanity's most challenging problems and lead the way in data intelligence as humanity enters the Fourth Industrial Revolution. I’m a firm believer that the Fourth Industrial Revolution will also define which businesses live and die in the next decade. 

Prior to building the Hypergiant team, I’ve always felt as though the true identity of data and artificial intelligence has been a bit muddled with what’s real. So in a time we’re all united together digitally but apart physically, the team at Hypergiant put together a free six-part series on all things AI at scale featuring panels, demos, fireside chats and live Q&As with some of the best thought-leaders in our field. More about each segment below, but you can view the entire six-week program here.

• May 7 - Introduction to AI: AI has a deep history, rooted in philosophical concepts – with its adoption, there are ethical, cultural and other foundational questions that need to be addressed within an organization – issues that are not normally considered with the introduction of a new technology. Register here.
• May 14 - Why AI Takes Internal Disruption First: AI at scale is impossible without system design in place complemented by a fundamental assessment of any associated business processes. Some call it digital transformation but that aged terminology establishes past practices and ties us to the way we’ve always done technology and doesn’t truly set the “enterprise” up for future success. Learn why AI takes internal disruption first and hear examples from the aviation industry. Register here.
• May 21 - A Framework for AI in the Enterprise: Through 2021, 75% of AI projects will remain at the prototype level as AI experts and organizational functions cannot engage in a productive dialogue. With all the investment, interest and funding, are we overpromising and underdelivering? This panel explores the potential of entering another AI winter and offers a framework for AI in the enterprise. Register here.
• May 28 - AI Use Cases at Scale: AI promises to be one of the most disruptive and innovative classes of technologies during the next 10 years. Yet, to maximize value delivery you must dig into a rich goldmine of real-world AI experience to prioritize value cases and find sources of transformative business value. Register here.
• June 4 - Ethics & Diversity in AI: Only a handful of companies have policies for managing the potential risks posed by artificial intelligence. An Ethics framework can help companies and their boards of directors protect society and their businesses. Register here.
• June 11 - The Future of AI: The most powerful manifestations of Artificial Intelligence occurs when an organization is given the ability to see their world through the lens of an AI. Now spatial models enable organizations to remotely observe, analyze and learn from their physical environments in ways that have never been possible before. Register here.

I hope you can make it to a session or two - we’d love to have you!