Baker Hughes’ Marie Merle Caekebeke, Sustainability Executive – Strategic Engagement, was initially skeptical about AI. Now she’s thinking next phases and leveraging AI to make ESG more strategic. Here’s what she learned from a project with C3 AI.

Check out the latest on how Magnox is transforming customer experiences.

Constellation Insights Editor-in-Chief Larry Dignan sits down with Cenlar Chief Digital Officer Josh Reicher to hear how Cenlar is handling AI and innovation as a midmarket company.

Hear from SuperNova finalist Dr. Tammy Malloy about how Futures Health Recovery is using AI technology to transform the approach and focus around mental health patients. Vote for Dr. Malloy or other SuperNova finalists here: https://www.constellationr.com/events/supernova/2023

5 takeaways from technology Q2 earnings with Larry Dignan, Constellation Insights Editor in Chief.

What's happening with Meta's latest Llama 2 #LLM and its new partnership with Microsoft? What does this mean for the future of #GenerativeAI? Constellation analyst Andy ThurAI sits down with Constellation Editor in Chief Larry Dignan to discuss trends and pitfalls of large language models, and how #enterprises will use #LLMs and #AI technology in the future...

Constellation Insights Editor-in-Chief Larry Dignan interviews Niraj Patel, CIO of Greystone about Greystone's approach to real estate, AI, and data.

Generative AI is a topic du jour among companies reporting #earnings, launching #products and holding court with customers. Here are a few themes that seem to be popping up. 1. We've been doing this for ages and #generativeai is just one more tool. You'll hear this from technology vendors often trying to sell you stuff. The general idea is that these companies are #ai savvy and just layering in a new engine. In some cases, tech vendors are accurate. Sometimes, vendors are just generative AI washing. How can you tell? If there's a launch in late 2023 or even 2024 chances are vendors were caught flat-footed. The buy side will also have some version of generative AI washing. 2. Generative AI looks great, but we need more #transparency before adding our #data. This theme has emerged frequently among buy-side #ceos. For instance, Bank of America CEO Brian Moynihan sees the promise, but the bank already has AI and conversational bots trained on just its data. His exact quote: https://newsroom.bankofamerica.com/co... quot;We have to understand how the decisions are made, and, frankly, follow the laws and rules and regulations on lending.quot; 3. We can save on headcount. OK no CEO says this directly, but sure do hint about it. CEOs say things like they can hold headcount flat, become more productive, do less with more, and other subtle ways to say there's no hiring boom ahead. 4. My #customer data is the differentiator. CEOs are looking to take base models and then tune them with their #enterprise data. What remains to be seen is what companies actually have the data to properly tune the base model. Here's a quote from Airbnb CEO Brian Chesky: https://news.airbnb.com/wp-content/up... quot;Instead of asking you questions like where are you going and when are you going, I want us to build a robust profile about you, learn more about you and ask you 2 bigger and more fundamental questions: who are you? And what do you want? Think of us building the ultimate AI concierge that could understand you.quot; 5. Holy @#$#@$#! OK, CEOs aren't dropping the F-bomb yet. But there will be a bevy of companies that don't have their data game down, lack the AI know-how, and don't have the stack and architecture that can simply integrate new models. Insurance company Lemonade said it has already added #chatgpt to its AI stack because has been using models to predict losses and risk down to the house since inception. Lemonade co-CEO Shai Wininger, said: https://twitter.com/shai_wininger/photo quot;This #technology will help us better anticipate customer needs, respond to more claims instantly, and ultimately provide better coverage at lower costs,quot; he said. quot;For our competitors, though, adapting to this change will not be easy. A traditional insurance company depends on hundreds of disparate software tools to run its business. many of which are outdated legacy systems built decades ago by third-party vendors.quot; Rest assured a lot of companies aren't in the same camp.