ExxonMobil is looking to save $15 billion in operating costs by 2027 and it will leverage artificial intelligence in combination with process intelligence to get there.
According to Deloitte, 75% of organizations are increasing their technology investments around data management. Data related issues also caused 55% of survey respondents to avoid certain genAI use cases.
Enterprises have thousands of use cases for generative AI and are now working through prioritizing them and ultimately moving to production. At AWS Summit 2024 in New York, a panel of partners and integrators talked about Amazon Q early adoption and genAI use cases with a focus on pilots to production.
Generative AI projects in the enterprise have moved beyond the pilot stage with many use cases going into production. Scaling has been a bit of a challenge, but the maturation of how CxOs are approaching genAI is underway.
Generative AI projects are gaining steam in the enterprise, but there's a big hurry up and wait vibe to them. Why? Enterprises operate on a continuum and don't have their ERP, cloud and data transformations complete.
Brian Ames, senior manager of production AI and data products at General Motors, said the company has stood up its data factory and plans to layer in generative AI capabilities in the next year.
Generative AI will drive IT budgets, but the spending is likely to be spread around a bevy of business units too. The more likely outcome is that generative AI spending for projects will be spread around business units and be absorbed in the budgets that run the entire enterprise.
Microsoft and The Coca-Cola Co. have an expanded deal as part of an emerging multi-cloud strategy. Coca-Cola also has AWS in the mix.
Confidence in the global supply chain's continuity and resilience is waning and it's a topic we're likely to hear more about as companies report fourth quarter earnings in the weeks ahead due to geopolitical and climate disruptions. Get ready for another supply chain transformation investment cycle.
Business transformation projects will require more holistic thinking about likelihood of success, difficulty of implementation and durability of outcomes when it comes to returns on investments.
I caught up with BT150 member, Manish Limaye SVP, USIS Chief Architect & Head of Data Engineering Equifax, to talk data architecture and the broader transformation.
Wayfair saw breakneck growth three years ago and an ensuing hangover that required a focus on operating margins and execution, but a technology transformation has the company thinking big again.
