... As enterprise data volume grows, cybersecurity leaders struggle to move away from fragmented, manual data discovery and scale. To address this core challenge, they must adopt automated data discovery platforms as a foundation to consistently ingest, interpret and protect enterprise data. Insights at a ...
Analyst(s): Nader Henein
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... Data management software vendors that cannot manage unstructured data will be swept away by the GenAI and agentic AI waves. CPOs must own the control plane for delivering AI-ready data to build alignment with their customers’ AI initiatives. Insights at a Glance Strategic Planning Assumption Issue Impact ...
... Customer Journeys, CX Data Strategy, and CX Scorecards Voice of the Customer (VoC) Strategy and VoC Platform Vendors Marketing Data and Analytics Customer Acquisition and Growth Demand Generation and Sales Alignment| Customer Experience and Understanding| Marketing Budgets, Data and Analytics MBA, Georgetown ...
... Percent of DataScience Tasks Will Be Automated by 2020 Analysts to Explore Trends in DataScience at Gartner Data & Analytics Summits 2017 More than 40 percent of datascience tasks will be automated by 2020, resulting in increased productivity and broader usage of data and analytics by citizen data scientists ...
... By 2027, enterprise software providers that rearchitect data management systems for agentic, machine-to-machine workflows can capture up to 30% more market share, as AI agents rapidly become the primary data consumers. Insights at a Glance Issue Impact Implications Gartner Recommended Reading Gartner ...
... case study. Industry Retail, Automotive, Real Estate, Financial Services, Healthcare Revenue - Employees 40,000+ Learn more about Gartner products for data and analytics leaders Related Gartner resources Gartner Magic Quadrant Gartner IT Score Gartner Executive Programs ...
... shifting from scaling bigger models to applying scientific AI techniques that explain systems, work with scarce data, and support high-stakes decisions. Product leaders must apply science-based capabilities to solve high-value problems that were previously economically infeasible. Overview Analysis ...
... global collaboration efforts. How to manage laboratory process and information How to improve life science innovation processes within R&D in the digital era How to leverage complex data in a life science company for accelerating innovation How companies can achieve more effective collaboration for new ...
... Finding, using, and improving data and AI products remains a major challenge for D&A leaders. Data marketplaces are now essential to drive adoption and enable efficient delivery of integrated, high-quality data for AI and agentic use cases. Insights at a Glance Strategic Planning Assumption Issue Impact ...
Analyst(s): Michele Launi | Richa Jha | Ehtisham Zaidi | Robert Thanaraj