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Infographic: Data Readiness for AI

Kevin Petrie
,
Shawn Rogers
What are the common challenges and best practices for preparing data for AI? This study will help you best prepare your data to avoid these issues.

Are Organizations Prepared?

In the third year of the ChatGPT-triggered boom, companies are accelerating their AI deployments. The risks seem manageable and the early results promising. We may even be on the cusp of a generational boost to productivity, innovation, and economic growth.

BARC’s study examines the challenges and best practices for providing data to AI, and how to best prepare your data to avoid problems.

The infographic summarizes the key findings. You can download the full study, “Preparing and Delivering Data for AI – Adoption Trends, Requirements and Best Practices,” for free here.

Infografik zur Data for AI Studie
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Author(s)

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Shawn Rogers
CEO BARC US

Shawn has over 28 years of international experience as an industry analyst, thought leader, speaker, author, and instructor on data, business intelligence (BI), analytics, artificial intelligence (AI), machine learning (ML), and cloud technologies. His former analyst roles and executive strategy positions with enterprise software firms give him a unique industry.

Shawn is a published author and has co-written two industry-leading books, “Social Data Analytics” and the latest, “Analytics: How to Win with Intelligence.” He was recently named one of Top 50 Global Thought Leaders on Analytics 2023 by Thinkers360.

Kevin Petrie
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Kevin Petrie
VP of Research at BARC US

Kevin Petrie is the VP of Research at BARC, where he leads the data management practice and writes about topics such as AI, data integration and data governance. For 30 years Kevin has deciphered what technology means to practitioners, as an industry analyst, instructor, marketer, services leader, and tech journalist.

Kevin built a data analytics services team for EMC Pivotal in the Americas and EMEA, and ran field training at the data integration software provider Attunity (now part of Qlik). A frequent public speaker and co-author of two books about data management, Kevin most loves teaching data and AI leaders about evolving strategies, tools and techniques to capitalize on the value of data.

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