OT Machinations - Part 2
We have an exciting episode in store for you today as we bring back the highly requested Michael Risse for another insightful interview with Ken Forster. Michael, the former Chief Strategy Officer of Seeq, a pioneering advanced analytics application, is joining us once again to dive deeper into the captivating subject of “cloudification” of OT.
Michael is a founding partner of Seeq Corporation, which has played a vital role in enabling insights and data-based decisions on process manufacturing data sets. With an impressive background spanning traditional software businesses, startups, and key management roles at Microsoft, Michael brings a wealth of expertise and knowledge to our discussion. For those who remember his enlightening contributions in episode 198, we’re thrilled to have Michael for this special “rest of the story” episode, where we will continue our exploration of this intriguing topic.
Discussion Points:
In the current landscape, we often hear about the dominance of Microsoft (MSFT) and Amazon Web Services (AWS):
- What are your thoughts on other cloud providers?
- Are there any contenders that could potentially challenge MSFT and AWS?
- How do you envision their strategies for success, particularly in terms of senior IT engagement and alignment, procurement through marketplaces, and their approach to competition and partnerships?
Given the evolving cloud landscape, how should OT (Operational Technology) companies plan their cloud strategies?
- What considerations should they prioritize?
- From their perspective, how can they leverage the cloud to their advantage by accessing machine learning capabilities, investing in the future instead of solely focusing on existing plants, ensuring cross-plant visibility, establishing Centers of Excellence for best practices, and attracting the right talent?
- What are some of the best practices you've witnessed regarding cloud deployment within OT companies? Specifically, what approaches have proven effective in terms of addressing usage scenarios, striking the balance between waiting for everything to be perfect versus taking action, and making wise choices when it comes to cloud solutions?
- Generative AI and large language models like ChatGPT are making significant waves across industries. In your opinion, what impact do you foresee for the OT sector? Are there particular aspects to consider, such as the timing of a potential "Tesla moment" for AI adoption, identifying which industries may face disruption, and understanding the crucial interplay between data and algorithms?
- In closing our last podcast, you mentioned you had just left Seeq. What are you up to now that you've left Seeq? What exciting projects are you working on these days?
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