Practical AI : From Bits to Bots

After decades, hardware, software, and modeling advancements were just starting to get us to the point of fielding effective Machine Learning-based systems. And then, seemingly out of nowhere, generative AI has exploded onto the scene. Far from an obvious choice, however, the raw technologies have risks, costs, and liabilities associated with their use that can and should frighten organizations against their credulous misuse.

But we have learned how to reign in the risk and amplify the value that they provide to assist us with knowledge-driven tasks more quickly than we could have imagined.

We have also learned to think about these systems, their costs, externalities, risks of bias, and more that must be considered when deciding to pursue an “AI”-based strategy. What actually can it do for you and what should you be willing to let it do. This packed three day training session will strengthen your ability to think about and use these amazing and potentially dangerous technologies today.

A general understanding of machine learning basics will be very helpful and can be provided as an optional fourth introductory day. Other options include the frequently-presented Machine Learning Deep Dive session. We will be focusing on what has emerged in the last few years.

This will be a good balance of theory and practice with many hands-on activities using state-of-the-art open source models, frameworks, and agent-based systems. The exercises will be practical and the kind of features that you will want to incorporate into your actual systems.

About Brian Sletten

Brian Sletten is a liberal arts-educated software engineer with a focus on forward-leaning technologies. His experience has spanned many industries including retail, banking, online games, defense, finance, hospitality and health care. He has a B.S. in Computer Science from the College of William and Mary and lives in Auburn, CA. He focuses on web architecture, resource-oriented computing, social networking, the Semantic Web, AI/ML, data science, 3D graphics, visualization, scalable systems, security consulting and other technologies of the late 20th and early 21st Centuries. He is also a rabid reader, devoted foodie and has excellent taste in music. If pressed, he might tell you about his International Pop Recording career.

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