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TDWI Upside - Where Data Means Business

Contributor: James Kobielus


James Kobielus is senior director of Research for data management at TDWI. He is a veteran industry analyst, consultant, author, speaker, and blogger in analytics and data management. At TDWI he focuses on data management, artificial intelligence, and cloud computing. Previously, Kobielus held positions at Futurum Research, SiliconANGLEWikibon, Forrester Research, Current Analysis and the Burton Group. He has also served as Senior Program Director, Product Marketing for Big Data Analytics for IBM, where he was both a subject matter expert and a strategist on thought leadership and content marketing programs targeted at the data science community. You can reach him by email ([email protected]), on Twitter (twitter.com/jameskobielus), and on LinkedIn (https://www.linkedin.com/in/jameskobielus/).

 

  


All articles by James Kobielus


TDWI’s Predictions for Data Management 2024

As we turn the calendar to 2024, TDWI predicts the following generative-driven innovations in data management.

Generative AI and Its Implications for Data and Analytics

Generative artificial intelligence has captured the imaginations of people around the world. Though not entirely new, generative AI is evolving so rapidly that technology professionals need to track its maturation closely to effectively evaluate the associated opportunities and risks. Here are the basics you need to know.

Data Management: What’s Ahead for 2022

Data management has evolved into a very different discipline from what it was just 10 years ago.

Data Management: A Look Back At 2021

Why multimodel platforms and serverless APIs became more popular among data management vendors this year while hype for hyperledger platforms waned.

Unifying DW and DL: 6 Key Questions

Questions our analysts didn't have time to answer in a recent webinar highlight key considerations for moving to a unified data warehouse/data lake.

The Role of Ontologies within Unified Data Models

Before tackling the complexity of disparate data sources, you need to understand how semantic abstraction layers can save you from a world of pain.

Building Ethical Guardrails into AI-Driven Robotic Assistants

Robotics is one of the proving grounds for artificial intelligence (AI) in our lives.

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