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.
The company wants to democratize generative AI the way it did operating systems, taking cues from Linux's trajectory. Open source is a major part of the strategy; the end goal is a leadership role in hybrid AI, bringing cheaper and easier-to-use AI to the locations an enterprise wants.
In the two years since the debut of ChatGPT, an event that sparked a furor around generative AI, the software's impacts have been far-reaching in technology investments, spending and capital markets. GenAI's emergence is an inflection point that has refocused priorities and stands to reshape technology's role in enterprise organizations.
A look ahead to the trends and opportunities expected to drive the generative AI narrative through 2025 and beyond.
LangChain is an open-source framework designed to streamline the development of AI applications leveraging large language models. Following the framework's release, startup LangChain was founded to foster the framework's growth and development, and earlier this year, the developers released LangGraph to enable developers to build more complex AI agents.
Agentic AI is the next frontier for generative artificial intelligence, and there is a lot riding on its realization. Many software providers have highlighted agentic AI's ability to generate net new revenue streams. It is also a potential step change in realizing the productivity gains that were promised by GenAI, but, to date, have been largely unfulfilled.
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