DATAx

11/02/2022

is at the center of everything your enterprise does.

There's still time to sign up for the DATAx virtual event on November 3rd to hear from & data experts about how they're using and to protect their companies and stay ahead of the competition.

At DATAx Unite on March 8, 2022, you will learn how top companies are accelerating use of AI, Machine Learning, and more. You will also learn how to craft a reliable, resilient, and secure data & analytics approach that makes good business sense.

02/04/2022

Our is your advantage — over 50% of our members are actively seeking business solutions within the year!

Generate , inspire your audience, and drive high quality leads with our digital event experiences.

Become a Sponsor: https://bit.ly/3GlOSpq

This is "2022_Argyle_Digital" by Argyle Forum on Vimeo, the home for high quality videos and the people who love them.

08/05/2021

Now’s the time to start closing out those year-end sales with access to high level decision-makers in , , , and .

Find out how to fuel your pipeline: https://bit.ly/3lvQeqR

Argyle Q3 Events

03/24/2021

There's still time!

Join some of the top minds in and from Cisco, Tyson Foods, Conair Beauty and much more at the all-day Leadership Forum; tomorrow, March 25th.

RSVP Now: https://bit.ly/2NRD7Ss

01/06/2021

The strategic is always looking for ways to get ahead.

Learn how to top IT talent and cultivate a of awareness at the all-day CIO Leadership Forum on January 19th.

Sign Up Now: https://bit.ly/2L7sHwB

11/10/2020

What do 400+ , , , and experts have in common?

They'll be tuning in live on November 17th and 18th for the virtual conference - Boosting ROI with a Data First Culture!

Sign Up Now: https://bit.ly/3lnZt9C

02/25/2020

Read the latest edition of The Cluster, our DATAx newsletter:

What makes for an above-average data science professional? Plus: the seven types of chief data officers.

02/20/2020

Data is the foundation of any machine learning model. Here's how to deal with bias, cross-contamination, and non-numeric inputs.

Selecting and Preparing Data for Machine Learning Projects Data is the foundation of any machine learning model. Here's how to deal with bias, cross-contamination, and non-numeric inputs.

02/13/2020

Computational and behavioral scientist Sendhil Mullainathan describes how to avoid a common fault in reasoning