James Curtis is a senior research analyst at S&P Global Market Intelligence, leading the database and data platforms vertical within the Data, AI & Analytics channel. Previously, he covered business intelligence, analytics and reporting, along with machine learning and data science. James’ current areas of concentration include database and related technology analysis, real-time analytics, cloud computing and cloud-native technologies for database as a service, database optimization tooling, generative AI and retrieval augment generation (RAG) environments, including vector stores and semantic search. James arrived at S&P Global Market Intelligence through its 2019 acquisition of 451 Research, which he joined in 2015. Prior to 451 Research, he held several senior roles in technology, marketing and communications. He served as VP of a large BPO firm where he oversaw marketing for analytic solutions. He held senior technical marketing roles at Netezza and later at IBM with responsibility for data warehousing, analytics and big-data products. He has managed global programs at HPE and worked as a case editor at Harvard Business School. James holds a bachelor's degree in English from Utah State University, a master's degree in writing from Northeastern University in Boston and an MBA from Texas A&M University.
This report is based on 451 Research's Voice of the Enterprise research that summarizes our findings on vector-enabled databases, their adoption, how organizations are using this technology and the most common challenges, as well as our take on where these databases are headed, which is deeply intertwined with generative AI and its adoption.
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.
Building on its core base of data protection capabilities, GRAX has been steadily expanding its capabilities to help customers collect and distribute their organization's Salesforce data to feed business intelligence and AI use cases. The latest announcements unveiled its new one-click data lakehouse, which allows customers to unlock and utilize their historical Salesforce data.
The company is on a mission to bolster its North American profile. Its Uvance unit sits at the core of its strategy going forward. Fujitsu Uvance is a digital transformation, services-oriented global business brand that focuses on combining consulting capabilities delivered by Uvance consultants with the vendor's Kozuchi AI platform.
At Teradata Possible 2024, company leaders reaffirmed their commitment to AI/machine learning and GenAI along with its target audience. It consists of reducing enterprise friction required to get GenAI and ML use cases into production. Teradata touts its data platform with massively parallel processing architecture and the ability to access data across the environment as crucial elements for running ML models and utilizing LLMs at scale.
Dreamforce is still the largest customer experience vendor event, with a focus on applications, data and artificial intelligence. While prior events spoke about the benefits of co-pilot technology using Einstein AI and Data Cloud, Dreamforce 2024 marked its launch into agentic AI.
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