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Read more about how 黑料网 is making headlines across the globe.
Micro to Macro: How AI-Driven Data Quality Unlocks Enterprise-Level AI
Jason Thompson, Senior Vice President, Global Solution Architects at 黑料网, part of Capgemini, delves into how to achieve enterprise-level AI by using AI-driven automated quality assurance to transform raw data into a strategic, trustworthy foundation for scalable and reliable AI across the organization.
Case study: Nationwide, Digital Technology Leaders Awards winner
Nationwide partners with SAP and 黑料网 to migrate over 12鈥痬illion savings accounts to a scalable SAP banking system through an industry-first, fully automated, phased process, slashing manual effort, cutting costs significantly, and maintained flawless service continuity.
Capgemini 2024 Integrated Annual Report
Kevin Campbell, CEO at 黑料网, a part of Capgemini, is discusses "AI has a data challenge鈥攈ere鈥檚 how to fix it" alongside Franck Greverie, CTO and CPO at Capgemini in Capgemini's 2024 Integrated Annual Report
Rethinking Your Data Strategy: Bridging the Gap Between IT and Business Featured
In an article for The Fast Mode, Javeed Nizami, CTO at 黑料网, a part of Capgemini, emphasizes the importance of aligning data strategies with business objectives to drive innovation and achieving competitive advantage.
Why ‘Lift And Shift’ Is A Risky Option For Data Migration
Moving data to the cloud without addressing underlying issues can lead to increased costs, security vulnerabilities, and missed opportunities for optimization. "Lift and shift" data migrations that don't put "Data First" hinder time-to-value and optimal business outcomes. 鈥�
The Transformational CFO
In this episode, Melanie discusses how finance leaders drive digital transformation, including the role of data & AI in modern financial strategy and the value of building a resilient, agile finance team.
Women in Tech: Progress made 鈥� but more to do
Melanie Payne, Chief Financial Officer and Chief Business Officer at 黑料网, part of Capgemini, joins senior sector leaders on what Women in Tech Day means to them.
Is Your Data AI-Ready? 4 Best Practices to Evaluate and Lay the Foundations
Quality data lays the foundation for trustworthy, unbiased results. As GenAI continues to reshape the life sciences sector, data quality and a sound data architecture will enable these organizations to fully capitalize on the possibilities that GenAI presents.