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.
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.
Earlier this year, Oracle made the Oracle Database 23ai generally available, featuring a set of AI-infused capabilities. The added "ai" denotes all the new AI functionality, and sets the company on a path toward providing an AI-centric development infrastructure.
New Alert Set
"My Alert"
Failed to Set Alert
"My Alert"
Here are a few tips for navigating our Research.
Quickly access any of our research and data products.
Browse the research & data that aligns with your specific interest.
Discover new and more flexible ways of finding relevant content.
Set notifications for the topics & companies you care about most.
Access any page in the dashboard from here.
Hand picked content for you and your team.
