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TDWI Upside - Where Data Means Business

Big Data


Q&A: Modernizing Data Management: What Works and What Doesn’t

If you're managing today's new data realities and the push for digital transformation using yesterday's data management techniques, you're headed for trouble. Aerospike's Lenley Hensarling offers suggestions for what to do and how to get started.

Lack of Modern Data Integration Hindering Business Objectives, Survey Finds

Outdated tools and technologies make it difficult to get timely information to business users, corporate executives say.

How Big Data Accelerators Enable Faster, Cost-Effective Analytics

CPU speed is no longer growing fast enough to keep up with demanding workloads, highly complex computing, and astronomical data growth, but specialized processors can fill the gap.

Data Digest: What AI Can and Can’t Do and the Value of Data Accuracy

Misunderstandings about AI’s intelligence, the role of human creativity in innovation, and the need for accurate, trusted data.

Executive Q&A: A Closer Look at Open Data Lake Analytics

An open data lake analytics approach will augment (and over time surpass) adoption of data warehousing given the significant long-term strategic benefits it provides to companies, Ahana's Dipti Borkar argues.

No More Wasted Data: Why More Companies Are Turning Data Into Action

Many corporations collect data but don't end up using it to inform business decisions. This has started to shift.

The Rise of the Chief Data Scientist

In the past, hiring a chief data scientist was considered a luxury. Now it is a "must-have" position, especially as organizations accelerate their digital transformations in a trickier post-pandemic environment.

Finding Your Own North Star to Guide Analytics Initiatives

Each data and analytics organization needs to first determine what their core purpose is and then use that North Star to drive their projects, plans, and resourcing.

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