Book a knowledge briefing with David Reed

Our Chief Knowledge Officer and evangelist – David Reed, author of “Becoming Data Literate” and “Winning with AI” is available to host DataIQ member’s data conferences, provide key note speeches and address Boards on a range of data related issues.

David is committed to elevating the importance of the data and analytics profession and has an over-riding mission to get a data (IQ) expert onto every Board. David has spoken at numerous conferences including as Master of Ceremonies for the DataIQ 100 Conferences and is hugely knowledgeable and respected as an industry expert.

For UK members David is available to address your teams in person or on-line for those outside the UK.

To book our Chief Knowledge Officer to address your next key data event please contact membership@dataiq.global for us to understand your requirements and agree a date.

About David Reed, Chief Knowledge Officer & Evangelist, DataIQ

David Reed is a professional, skilled communicator with deep domain knowledge of data and analytics.
His career has followed the evolution of data’s use as a corporate asset, from the rapid growth of direct marketing in the late 1980s through the 1990s, via CRM and one-to-one marketing, through the arrival of digital and mobile channels and into the world of big data, AI and machine learning.
In 2005, he pioneered journalism about the role of data and analytics in business before joining DataIQ in 2011 where he has continued to advocate, innovate and educate the data community.
In 2021, he published “Becoming Data Literate”, a game-changing book on how to ensure data becomes embedded in the culture of organisations. He is currently writing his next book, “Winning with AI.”
At DataIQ as Chief Knowledge Officer and Evangelist, he works with leading brands to help them adopt a data literacy framework and drive value from their data assets, people and processes.

Book a knowledge briefing with David Reed

About David Reed, Chief Knowledge Officer & Evangelist, DataIQ

Enabling the success of Data and AI leaders and their teams.