Based on a survey of 3,466 senior leaders of global enterprises, this report unpacks the stats to give you an up-to-the-minute snapshot of how gen AI and agentic AI are helping organizations deliver highly engaging, personalized, and human-like customer experiences at scale.
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Transform your data and AI workflows with AI. This guidebook explores architecture of goal-oriented data agents, Google Cloud’s pre-built solutions and tools to build custom data agents, all powered by Google’s leading AI and integrated cloud ecosystem.
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As businesses of all sizes increasingly adopt hybrid or mobile work, teams that collaborate are often distributed around town—or around the globe. Although many organizations are relying on mobile devices to improve productivity and collaboration, project management teams often must juggle a broad range of tools, apps, and online services to perform all their work […]
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Consider five key strategic imperatives of a digital transformation agenda. Powerful forces are reshaping the retail banking and payments industry. Customer expectation, technological capabilities, regulatory requirements, millenial demographics and new FinTech startups are converging to create an imperative for change. Read this white paper from LiquidHub and Hitachi Vantara to learn why data holds the […]
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Capitalize on the Value of Bank Data Integrate, scale and analyze data to improve customer experience and compliance with a single solution. As some of the biggest aggregators of user data, banks have a unique opportunity to improve customer experience with data insights. Customer experience is a primary differentiator for marketers – learn how to […]
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Save time loading new data sources Top financial services organizations constantly explore new ways to extract value from their data to support business initiatives like attracting new customers or entering new markets. It’s important to incorporate new data sources and technologies into current workflows. You also need to respond to complex regulations and compete with […]
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Financial Services Use Case: Next-Generation Customer 360° and Data Hubs The key challenge for executive leadership is to efficiently aggregate customer data. This is the core driver behind strategic initiatives like customer 360°, customer data hubs (CDH), enterprise data hubs (EDH), customer data integration and customer data management. In this use case, learn how financial […]
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Utilize AI, Big Data and Cloud To Deliver Value From Your Data To drive higher value from data and analytics, organizations are anxious to capitalize on advances in artificial intelligence (AI), big data, and cloud-based services—trends that will reshape how organizations set their BI, analytics, and data architecture strategies. Read this TDWI Best Practice Report: […]
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Report: Six Keys to Maximizing Big Data Benefits and Project Success Being data-driven requires enterprises to be more responsive to data and able to adapt to changes in data sources and formats, and in the development of new applications. This adaptability to change must be reflected in the entire data-processing pipeline – from data ingestion […]
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Agile Data Management as the Basis for the Data-Driven Enterprise How you can deliver business value and avoid common pitfalls in big data integration and analytics? This TDWI checklist discusses six important issues that organizations should address to start big data projects off right. • Reduce time to value by clarifying objectives • Use blueprints […]
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Leverage Hadoop in the Analytic Data Pipeline While a whole ecosystem of tools has sprung up around Hadoop to handle and analyze data, many of them are specialized to just one part of a larger process. To fulfill the promise of Hadoop, organizations need to step back and take an end-to-end view of their analytic […]
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