Thomas C. Redman

1 week ago | hbr.org | Thomas C. Redman

By A company's content lies largely in "unstructured data"-those emails, contracts, forms, Sharepoint files, recordings of meetings and so forth created via work processes. That proprietary content makes gen AI more distinctive, more knowledgeable about your products and services, less likely to hallucinate, and more likely to bring economic value. As a chief data officer we interviewed pointed out, "You're unlikely to get much return on your investment by simply installing CoPilot."Thomas H.

1 month ago | mitsloanme.com | Kinda El Maarry |Thomas C. Redman

Topics Subscribe Share WHEN IT COMES to dealing with data quality, teams and companies fall into one of three modes: unmanaged, organized cleanup, or proactive prevention. Most organizations get stuck in one of the first two. The work of addressing data issues is demanding, messy, and time-consuming.

Jan 22, 2025 | cdomagazine.tech | Thomas C. Redman

Thomas C. RedmanThomas C. Redman, “the Data Doc,” is President of Data Quality Solutions. He helps companies and leaders chart their courses to data-driven futures with special emphasis on quality, organizational structure, and analytics. His latest book, People and Data: Uniting to Transform Your Organization (Kogan Page 2023), urges companies to increase the power of their data programs by getting everyone. Redman has a Ph.D. in Statistics and two patents.

Jan 22, 2025 | cdomagazine.tech | Thomas C. Redman |Anne Smith |John Ladley |Mathias Vercauteren

Data governance, as it is currently practiced, is failing. Despite being positioned as essential for data quality, regulatory compliance, and strategic decision-making, data governance often falls short. Time and time again business and data leaders fail in their attempts to implement enterprise-wide governance. Evidence is abundant—poor data quality continues, data debt expands, and leaders do not engage.

Jan 8, 2025 | infobae.com | Thomas C. Redman |Donna Burbank

Hoy en día, la mayoría de las empresas saben que los datos de calidad son esenciales para lograr operaciones eficientes, una toma de decisiones acertada y una inteligencia artificial potente. Sin embargo, no reconocen el papel fundamental que desempeñan las personas en la creación de datos de calidad. Muchos gerentes, en su mayoría de manera inconsciente, dificultan que las personas hagan lo correcto cuando se trata de datos.