Paige Bartley is a senior research analyst at S&P Global Market Intelligence. She leads the data management research within the 451 Research Data, AI & Analytics channel and frequently contributes to the Information Security channel. Covering the technologies that compose the “plumbing” of the data and analytics stack, Paige examines the flow and control of data within organizations, as well as how organizations can better align their business functions and technology. Paige came to S&P Global Market Intelligence through its 2019 acquisition of 451 Research, which she joined in 2018. Prior, she held a senior analyst role with Ovum (now Omdia), researching similar topics in enterprise data management and analytics. She began her career on the vendor side, working in marketing and strategy for an unstructured data governance specialist. Data privacy operations (PrivacyOps) and data governance are areas of specialty, particularly regarding how these initiatives can be linked to customer experience and profitability outcomes. Other areas of concentration include AI, data integration, metadata management, data quality and data observability, and master data management. Broader concepts include enterprise data culture, digital rights and data ethics. Paige holds a BS in psychology and neuroscience from Duke University and a Masters of Management (MMS) from the Duke University Fuqua School of Business.
US consumers broadly support federal-level AI regulation. However, recent legislation under the current administration would actively preempt state-level regulation of AI for up to 10 years. Amid a patchwork of emerging state laws, is this legislation well-intended to establish a blank canvas for federal rules, or will it just lead to business chaos?
Providing the quantities of clean representative data that AI models require is a challenge for data managers. To build models that add value to enterprise operations and decision-making, AI demands huge quantities of clean representative data, but are enterprise data managers ready to deliver?
The company is renowned for its database prowess, but it also offers a broad array of business applications and associated software tooling. With AI- and generative AI-driven features being increasingly embedded within its product, Oracle is helping customers connect these capabilities to a robust data stack that it has long been known for.
The acquirer has clear ambitions around the enablement of agentic AI. But as Salesforce lowers the barriers to AI agent creation and use, the question of governance remains. With expertise in this area, Informatica could provide a "layer”" of agentic AI control and support for Salesforce.
Privacy is becoming a larger issue as organizations balance enhanced personalization capabilities with customers' data privacy expectations. Take five minutes to read five Voice of the Customer qualitative interview comments and what they mean.
The cybersecurity industry's largest annual event surpassed its own attendance records this year. The conference is also at the threshold of new economic, political and technological uncertainties. However, it could sharpen its appeal as a nexus of learning, innovation and networking.
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