The most powerful tool often comes with the greatest challenges. In recent times Machine learning has emerged as the world's leading general-purpose technology, yet its implementation remains notably complex. Beyond the realm of Big Tech and a select few leading enterprises, many machine learning initiatives don’t succeed, failing to deliver on their potential. What's lacking? A specialised business approach and development & deployment strategy tailored for widespread adoption. In his recent book “The AI Playbook: Mastering the Rare Art of Machine Learning Deployment” acclaimed author Eric Siegel introduces a comprehensive six-step methodology for guiding machine learning projects from inception to implementation. The book showcases the methodology through both successful and unsuccessful anecdotes, featuring insightful case studies from renowned companies such as UPS, FICO, and prominent dot-coms. In this episode of Bridging the Gaps, I speak with Eric Siege. We discuss this disciplined approach that empowers business professionals, and establishes a sorely needed strategic framework for data professionals.

Eric Siegel, Ph.D., is a leading consultant and former Columbia University professor who helps companies deploy machine learning. He is the founder of the long-running Machine Learning Week conference series and its new sister, Generative AI World, the instructor of the acclaimed online course “Machine Learning Leadership and Practice – End-to-End Mastery,” executive editor of The Machine Learning Times, and a frequent keynote speaker.


We begin our discussion by addressing Eric's notable observation, highlighted both in his presentations and book, that the “AI Hype”  is a distraction for companies. Eric elaborates on this notion, providing detailed insights. Additionally, we explore the suggestion to shift focus from the broad term "AI" to the more specific "Machine Learning." Our conversation then delves into the challenges faced by companies and professionals in conceptualising and deploying AI-driven ideas and solutions. This then leads to the consideration of whether forming specialised teams and developing focused strategies are necessary to address these challenges effectively. Next, we delve into the intricacies of the six-step BizML process introduced by Eric in his book, comparing it to the concept of MLOps. We then thoroughly examine the BizML process, dissecting its components and implications. Overall, this has been a highly enlightening and informative discussion. 

Complement this discussion with ““Working with AI: Real Stories of Human-Machine Collaboration” with Professor Thomas Davenport and Professor Steven Miller” available at:  
https://www.bridgingthegaps.ie/2022/10/working-with-ai-real-stories-of-human-machine-collaboration-thomas-davenport-steven-miller/
And then listen to  ““Machines like Us: TOWARD AI WITH COMMON SENSE” with Professor Ronald Brachman” available at: 
https://www.bridgingthegaps.ie/2022/06/machines-like-us-toward-ai-with-common-sense-with-professor-ronald-brachman/

“The AI Playbook: Mastering the Rare Art of Machine Learning Deployment” with Eric Siegel

Sol Rashidi, a distinguished data executive who has served in C-suite roles at Fortune 100 companies, joins Jon Krohn to delve into successful enterprise AI strategies and the reasons behind the high turnover among Chief Data Officers. This episode provides an in-depth look at selecting AI projects that succeed and understanding the strategic value of patents in various industries. Benefit from Sol’s extensive experience and practical advice on navigating complex corporate challenges.

This episode is brought to you by AWS Inferentia (https://go.aws/3zWS0au) and AWS Trainium (https://go.aws/3ycV6K0). Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• How CDOs and related roles have such high turnover because [09:40]
• The importance of building relationships in AI projects [17:01]
• How Sol's book "The AI Survival Guide" came about [20:44]
• How high-criticality, low-complexity AI projects are the ones with the highest probability of success [27:11]
• How Enterprise data security issues can be resolved with technologies like Protopia’s stained-glass data-masking solution [36:10]
• Why having great data engineers is essential [47:57]
• The value of patents [51:45]

Additional materials: www.superdatascience.com/781

The Super Data Science Podcast: Machine Learning | AI | Success

781: Ensuring Successful Enterprise AI Deployments, with Sol Rashidi

In-depth conversations with researchers, explorers and thought leaders from around the world, on cutting edge research and original ideas. 

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

New tracks tagged #AI Deployment