Melissa Incera is a research analyst on the 451 Research Data, AI & Analytics team within S&P Global Market Intelligence. Her focus lies in generative AI, its emergent use cases in enterprise applications and the foundation models that underpin it. Specifically, she tracks the text-generation landscape and its offshoots in enterprise search, AI assistants, marketing and writing tools. Prior to joining the AI team, Melissa spent a few years covering technology M&A and financial markets looking at high-level trends, noteworthy deals and investments, and forecasting activity across technology subsectors. She also did some work with the Workforce Productivity & Collaboration team, where she researched the future of work and emerging applications to enhance the employee experience. Melissa holds a bachelor’s degree in English Literature from Boston College and an MBA from ESADE, Ramon Llull University in Barcelona.
There is an increasing disparity between organizations that are effectively deriving value from generative AI and those that are struggling to maximize returns. This report will dive into trends in AI use cases, enhancement mechanisms and operational strategies that separate the leaders from the laggards.
The annual Big Picture Reports are out, and they span the breadth and depth of our research areas, including capital markets, commodities, commercial real estate, emerging technology, M&A and supply chain. Analysts Melissa Incera and Iuri Struta join host Eric Hanselman.
So much is happening in generative AI that we plan to produce one of these roundups each month for as long as it makes sense to do so. We augment this with reports on product releases from vendors — as well as other developments — as part of our Market Insight service.
So much is happening in generative AI that we plan to produce one of these roundups each month for as long as it makes sense to do so. We augment this with reports on product releases from vendors — as well as other developments — as part of our Market Insight service.
This report highlights the key topics we expect to be prominent in 2025 in the data, AI and analytics space. While generative AI remains a predominant theme, for the technology to succeed, preexisting issues must be resolved around data management, data operationalization, machine learning operationalization and other infrastructure-related tasks.
So much is happening in generative AI that we plan to produce one of these roundups each month for as long as it makes sense to do so. We augment this with reports on product releases from vendors — as well as other developments — as part of our Market Insight service.
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