Science At Scale
As artificial intelligence (AI) moves from becoming a headline to an impending reality for enterprises across the globe, businesses in all industries are trying to understand exactly how - and when - to dive in. And that's what November 15th is all about: bringing the pioneers, the leaders, the actors, thinkers, and doers of enterprise AI together to share how they have or how they plan to take the plunge into the data-driven era of Intelligent Business.
Companies have all the right tools to keep up and to succeed (people, data, technologies), yet many still struggle to evolve. How can businesses make the leap to a data-driven culture while still hitting corporate targets? How can they balance the risks of working with new technologies on cutting-edge data projects with its opportunities?
The EGG Conference Series works to solve some of these major questions by bringing together the people and organizations who have already been there and done it.
EGG2018 is committed to providing attendees with practical insight to bring back to their larger teams and concrete steps to move forward along their data journey to enterprise AI.
Come with questions, Leave with Actionable Solutions
Network with Like-Minded Peers & thought-leaders
Be the 1st to hear about trending technologies
EGG2018 brings together leaders in analytics, data science, and machine learning for a day-long exploration of what it takes to transform organizations around analytics so they can move faster at scale for the long term.
The EGG UK 2018 Conference - Relive the day!
Fostering Data Culture to Drive Business Impact
Building a Bank with Data
Scaling Data Science for a Global Analytics Team
Building an Immersive Data Function in Large Organization
AI meets Mail Processing
Let's Get Cloudy
Data Warehousing in the Cloud
Driving Change with Analytics at Scale
Embarking The Data Crew For The (USS) Enterprise
Using Data to Overcome the Challenges of Exponential Growth
The Story of Recommendations at Kickstarter
Transforming Organizations Around Analytics
Finding the Needle in a Haystack
Machine Learning is a Team Sport