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.
Unstructured content often is the bulk of enterprise data, and is becoming more valuable and riskier as business AI use cases evolve. Votiro seeks to embed itself as a platform in organizations to ensure the ongoing detection, safety and governance of sensitive content.
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.
Unstructured data and content are the backbone of many business processes, yet are difficult to secure. They are also important in generative AI for training. Data Dynamics has introduced Zubin, an AI-driven self-service data management offering aimed at helping organizations protect content.
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.
Software development and data teams have historically been siloed. Yet with the rapid infusion of AI and generative AI code into software, this paradigm is brittle. JFrog has robust credentials as a unified enterprise software supply chain management specialist, but its recent moves into MLOps tell a bigger story beyond functionality.
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