Delta Air Lines has migrated most of its technology infrastructure to the cloud and is starting to leverage generative AI (GenAI) for personalized pricing, digital concierge services, and optimizing the customer experience.
Enterprise IT strategies are consolidating into one approach that can encompass artificial intelligence and next-generation applications. Constellation Research analyst Holger Mueller argued in a report that AI is going to lead to "a single best-practice IT strategy."
Artificial intelligence is a big opportunity across enterprises in multiple sectors and boards of directors need to think through practical use cases that drive returns, said Karen Higgins-Carter, a former CIO who serves on multiple boards.
A big push to cut costs via IT spending and automation is likely to put a squeeze on enterprise vendors with some companies pondering exit ramps from current suppliers. Can you write your own ERP and CRM systems using generative AI?
GenAI will fade in 2025 as a core topic as we get off the treadmill that is large language model innovation and start looking at returns. With agentic AI all the rage going into 2025, it’s safe to say it’ll be a key theme for at least the first half, but like every technology development disillusionment isn’t far behind.
With 2025 days away, it’s worth soaking in various outlooks and technology themes that may play out in the year ahead. Here’s a list of reads from Constellation Research and around the web.
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.
