DATAx is the ultimate data science event for data practitioners, executive leadership, and allies of a data-first culture. This summer, we invite leaders to explore the trends and advancements in data-driven technology, and to learn how to properly integrate these practices into existing workflows.
Data expert or data ally? This conference is for YOU. Join us on this immersive journey to explore the potential of data from two perspectives: process improvements for the business decision maker, and a deep dive into trends and techniques for the data practitioner.
You will learn:
It is no secret that companies that use data to drive business decisions are achieving greater success. Business leaders who embed a data-first culture into their organization see a stronger return on their investments, enabling them to stay a step ahead of their competitors.
How can businesses use data to their greatest advantage?
Attend this session to learn:
Artificial intelligence is a powerful tool. Businesses everywhere are investing in AI to boost revenue and productivity, but businesses often fail to fully deploy machine learning technology due of lack of preparation.
Join experts specializing in artificial intelligence to discover how to craft a successful AI campaign that works for your organization.
Attend this session to learn:
Abstract coming soon!
Abstract coming soon!
Why is a data-driven culture important to fuel business growth? The fundamental core business requires data science, analytics, and machine learning solutions to lay the groundwork for an effective data-drive culture.
Join this session to understand why it is important to develop centers of excellence to accelerate product innovation and to drive business growth.
Attend this session to learn:
We are proud to share with you the following Argyle Industry Influencers. Their contributions to Argyle help keep the programs we offer our membership current and relevant, so we can continue delivering you premiere experiences, content development, and membership engagement.
