Remove Data Integration Remove Data-driven Remove Digital Transformation
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Banks bet on AI to deliver digital efficiencies

CIO Business Intelligence

As the study’s authors explain, these results underline a clear trend toward more personalized services, data-driven decision-making, and agile processes. Even beyond customer contact, bankers see generative AI as a key transformative technology for their company. Among laggards, only 70% think so.

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Constructing A Digital Transformation Strategy: Putting the Data in Digital Transformation

erwin

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Constructing A Digital Transformation Strategy: Data Enablement. Probably not.

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What Is Data Modeling? Data Modeling Best Practices for Data-Driven Organizations

erwin

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

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How IT leaders use agentic AI for business workflows

CIO Business Intelligence

And executives see a high potential in streamlining the sales funnel, real-time data analysis, personalized customer experience, employee onboarding, incident resolution, fraud detection, financial compliance, and supply chain optimization. Another area is democratizing data analysis and reporting.

IT 139
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Transforming Task Automation: The Future of Intelligent Orchestration

David Menninger's Analyst Perspectives

This integration not only streamlines business processes but also fosters improved customer engagement through personalized experiences. Enhanced analytics driven by AI can identify patterns and trends, allowing enterprises to better predict future business needs.

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Enterprise Data Integration: Better Data, Smarter Decisions

Sisense

In Transform to Win , we explore the challenges facing modern companies, diving into their individual digital transformations and the people who drive them. One of the main goals of a digital transformation is to empower everyone within an organization to make smarter, data-driven decisions.

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Accelerate analytics and AI innovation with the next generation of Amazon SageMaker

AWS Big Data

At AWS re:Invent 2024, we announced the next generation of Amazon SageMaker , the center for all your data, analytics, and AI. It enables teams to securely find, prepare, and collaborate on data assets and build analytics and AI applications through a single experience, accelerating the path from data to value.

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