Andreas "Carsten" Krause (MBA, CISM, TOGAF)’s Post

Andreas "Carsten" Krause (MBA, CISM, TOGAF)

CIO | CDO | CISO | Driving Digital Transformation & AI Strategy | Cybersecurity Leader | Growth Architect | Enabling High-Performance Teams

9mo

How is Ocean Spray getting ready for AI? In this preview of our podcast with Neil Hampshire CIO and CDO of Ocean Spray Cranberries we discuss how companies are getting ready for AI and how you have to be very strategic about use cases to move fast without being reckless. This includes generative AI retrieval augmented generation (#rag ) models using internal data and “old fashioned” machine learning. #datastrategy #generativeAI #machinelearning #cdo #cio #oceanspray #cdotimes

Transcript

Information. As we get better systems in place, we do clearly want to shift our focus to more forward-looking analytics and reporting, right? Right. Yeah. Experienced the live demo and when I was at the National Retail Federation event and I was impressed about like one solution that had a COI analyst that really was. Being pre trained on a lot of the internal data on gave very detailed recommendations of business strategies and. Steps to take and you know I think that's that's that was really cool is is that is that something that you're also thinking about in the future to sprinkle in some AI capability and generative AI. 100% both kind of generative AI and and kind of old-fashioned machine learning type of AI as well if it's fair to call it old-fashioned now. And yeah, OK, I think there's there's a ton of opportunities for us as there is many organizations to really look at how. Generative AI and and increased accessibility to AI is going to transform our business. I I would say up to now we've been in a kind of experimentation phase and you know what what I'm looking to do and what we've we've agreed to do is is be more intentional and more deliberate about about where we go with with AI. You know part of this digital transformation includes you know. Stitching into the plan you know opportunities where we can step into AI and we can see where there's you know material benefits and whether that's through you know Gen. AI kind of interrogation of of datasets to get insights or whether that's kind of more machine learning and being able to predict patterns and to drive our supply chain more efficiently or to optimize our production schedule taken into account you know many more. Variables than than we have been up to now. So we are intentional about it. We're we're at the early stages like I think a lot of organizations but I'm very excited about the possibilities both personally and professionally that this can bring. But it does need to be done thoughtfully and you know I I think there's a few stories out there already if people kind of making missteps with AI. So we want to be. Aggressive in going forward, but we don't want to be reckless. Yeah, yeah, I know. I mean, I I totally agree that with that, I've been helping a couple of companies with their retrieval generative augmentation. Model where you use your own data to train on that. And one thing that I've seen too is that some companies are doing like an internal hackathon where they just do look at now what could be good use cases are involved and get people involved and skilled them up as you go, right. You know that's good strategy and then you know when you're ready, you're probably bringing some partners like maybe serial times consulting, but you know. Folks that that have done this before and then ultimately building out your Center for excellence for artificial intelligence and that really builds on a solid data foundation. So it's awesome that you or yeah and that's what I was going to say constant is is part of this digital transformation we're doing is is to get our data in better shape.

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Andreas "Carsten" Krause (MBA, CISM, TOGAF)

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