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.
Data is a critical factor in organizational decision-making — but does IT have the necessary data ready for meaningful analysis? Take five minutes to read five Voice of the Customer qualitative interview comments and what they mean.
Executives at the latest analyst-only event in Cary, North Carolina, had a much tighter message around the company's Viya data and analytics platform, technology strategy, and investment areas that specifically included AI. Yet there was almost no talk of an IPO, which we covered at 2024's event.
Voice of the Enterprise: Data & Analytics survey results and analysis provides you with actionable data and insight to understand the key dynamics driving the data analytics market.
Combining 451 Research’s industry-leading analysis with a proprietary global panel of IT decision-makers, Voice of the Enterprise: Data & Analytics tracks the disruption occurring in the market and exposes the major opportunities for enterprises, IT vendors, suppliers and investors.
This online survey of approximately 650 respondents was conducted from Jan. 9 to Feb. 21, 2025. The margin of error for top-line statistics is +/- 5 points at the 95% confidence level.
Enterprises want fewer, not more systems for their database estate – Highlights from VotE: Data & Analytics (Spotlight)
Enterprises are awash with multiple systems as part of their data platform environment — from vector-supported databases to real-time analytics to data lakehouses built atop object storage. However, integration remains a concern, as do costs.
Crosstabs (Excel tables | Download link in sidebar to the right) – Crosstabs of complete worldwide and regional survey results datasets, including key metrics and segmentation.
Charts and Figures (PowerPoint charts | Navigate charts in sidebar to the left | Download link in sidebar to the right) – PowerPoint slide deck of complete top-line survey results in charts and figures.
Data Insights Deck (PowerPoint charts | Coming soon) – PowerPoint slide deck of advanced charts supporting deeper analysis and insight.
The Germany-based vendor has entered the highly crowded object storage space with an offering geared for AI and machine-learning workloads. UltiHash has developed an object storage store with a built-from-the-ground-up de-duplication engine for storage optimization.
The startup recently unveiled its initial database gateway offering, a product that functions as a query translation layer between an application and a database. Despite application and database differences, Quesma wants to enable any organization's application to query any database.
In a bid to bolster the output from retrieval augmented generation, MongoDB has acquired Voyage AI, an AI-focused startup that specializes in developing embedded and reranking models. The deal suggests — at least in part — that RAG has not produced the accuracy many enterprises have come to expect.
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