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Belcorp reimagines R&D with AI

CIO Business Intelligence

It’s worth noting that each initiative carried its own unique complexity, such as varying data sizes, data variety, statistical and computational models, and data mining processing requirements. Working with non-typical data presents us with a reality where encountering challenges is part of our daily operations.”

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How to unlock a scientific approach to change management with powerful data insights

IBM Big Data Hub

Leveraging data to replace the ‘gut feel’ on which too many business decisions are made enables change practitioners to separate perceptions from reality and decide which processes need the most focus. Though advanced analytics, process mining solutions can highlight gaps and opportunities in a digital transformation.

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Self-Service BI vs Traditional BI: What’s Next?

Alation

A shift emerged around 2000 with the initial discussions regarding digital transformation. Slow requirements led technology leaders to demand proactive business intelligence. At Alation, we believe self-service has three unique stakeholders: End users trying to discover data for decision making.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

The almost forgotten “orphan” in these architectures, Fog Computing (living between edge and cloud), is now moving to a more significant status in data and analytics architecture design. From my perspective, that was the single most significant data innovation trend of the year 2020.

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What Is Data Intelligence?

Alation

Data intelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of Data Intelligence use cases include: Data governance. Cloud Transformation. Cloud Data Migration. Digital Transformation. Data Intelligence and Data Governance.