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TDWI Articles

TDWI Upside: The Source for All Things Data & Business Analytics

TDWI Upside

Upside delivers timely, relevant, actionable information about transforming data into intelligence, insight, and impact in your enterprise.

Popular Today

Curb Your Hallucination: Open Source Vector Search for AI

By Ben Bromhead

Here’s why vector search is increasingly critical to AI success, and how open source can fit into that equation.

Trends in Analytics

4 Practical Tips to Create Value with AI

By Cal Al-Dhubaib

Setting realistic expectations and taking lessons from previous tech trends can help you plan for successful AI programs.
Is Your Data AI-Ready?

By John Peluso

The path to AI-driven innovation is paved with data readiness. These three indicators provide a quick data readiness assessment.
Q&A: Enhancing Analytics with AI

By Upside Staff

Machine learning, large language models, and AI are having an impact on analytics. Case in point: Heather H. Wilson, CEO of CLARA Analytics, explains how her company is putting AI to work in the insurance industry.
Q&A: AI’s Place in a Data-Driven Enterprise

By Upside Staff

AI is making BI and analytics more accessible beyond data analysts. MicroStrategy’s Saurabh Abhyankar, executive vice president and chief product officer, explains how.

View All >>

Featured Webinars

Distributed Data Management: Solving Challenges and Maximizing Opportunities

Join TDWI’s VP of Research, Fern Halper, as she explores the results of TDWI’s latest research and moderates a panel of experts discussing best practices for distributed data management. 11/18/2024
Unlocking Business Value Through Secure Data Sharing and Governance

Join TDWI senior research director James Kobielus and industry experts for an in-depth panel discussion of how modern organizations collaborate around shared data and thereby use analytics-infused insights to produce business results. 11/19/2024
Expert Panel: Real-Time Analytics Use Cases and Architectures

In this expert panel, TDWI senior research director James Kobielus will discuss the chief enterprise use cases for real-time analytics and the principal architectural considerations for data, analytics, and IT professionals seeking to optimize their infrastructures for these applications. 12/09/2024

View All >>

IT & Enterprise Data Management

Three Signs You Might Need a Data Fabric

By Kaycee Lai

A data fabric can help you access all your data and reach actionable insights. Here are three indicators that a data fabric may benefit your enterprise.
Four Tips for Achieving Lasting ROI with a Data Lakehouse

By Michael Hay

Data lakehouses provide new data storage possibilities, but implementing them can be challenging. These four tips will help you achieve long-lasting ROI from this architecture.
Ensuring Comprehensive Data Protection: 8 NAS Security Best Practices

By Volodymyr Zapotochnyy

A reliable NAS security system is critical for data protection. Discover how NAS backups can support production continuity and compliance.
Best Practices to Ensure Data Transformation Success

By Upside Staff

Prophecy’s founder and CEO Raj Bains explains how organizations can overcome the challenges to achieving enterprise-wide data transformation.

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Data & Business Leadership

Digital Transformation: Making Information Work for You

By Troy Hiltbrand

Digital transformation efforts help strategic analytics teams at all types of businesses leverage the information generated to improve business results.
AI Readiness with Fern Halper

By Upside Staff

TDWI’s Fern Halper explains what enterprises need to do to prepare for AI and introduces initial results from TDWI’s AI Readiness Assessment.
The Question Everyone Should Ask Before Deploying AI

By Rob Enderle

We need AI to help us make better decisions rather than speed up the impact of our bad ones.
Executive Q&A: Data Quality, Trust, and AI

By Upside Staff

John Nash, the chief marketing and strategy officer at Redpoint Global, explains how data quality, trustworthiness, and golden records are important to AI.

View All >>

Practical Data Science

Artificial Intelligence Versus the Data Engineer

By Ed Thompson

Does generative AI change the role of the data engineer? As the demand for AI skyrockets, so does the demand for data and data engineering.
Our Cloud Migration Story: Challenges Faced and Lessons Learned

By Derick Ohmar Adil

Moving to the cloud brings numerous benefits, but there are challenges you must overcome. Here is one company’s experience.
Lessons Learned from Facebook’s Poor AI Implementation

By Rob Enderle

AI implementations will be more successful if you follow these three tips.
Real-World Techniques for Machine Learning with David Langer

By Upside Staff

David Langer discusses four easy-to-learn, state-of-the-art, real-world techniques that will help you get value from machine learning.

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News Releases

Updated Alluxio Enterprise AI Accelerates GPUs

Features new native integration with Python ecosystem and expanded cache management
SAS Study Examines Generative AI Adoption, Use, and Challenges

Leaders note lack of understanding, business strategy, sufficient data. and regulation preparedness as concerns; data privacy, security, and governance are primary challenges.
Updated MicroStrategy One Enables Enterprises to Layer AI-Driven Data Insights into Any Web, Mobile App

New solution provides frontline workers with on-demand AI insights from within any application, eliminating need for complex, expensive, and slow application integration projects.

View All >>

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