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Predictive Analytics World London 2019

Location: etc.venues, 200 Aldersgate, London EC1A 4HD, United Kingdom
Date: October 16, 2019 12:00 amfloq.to/uGUA8

From the prediction to the decision – with Predictive Analytics to Data-Driven Business. The premier machine learning conference!

Join the leading vendor-neutral machine learning conference! Join Predictive Analytics World’London to hear top practitioners describe the design, deployment and business impact of their machine learning projects.

Predictive Analytics World covers all the bases for both expert practitioners as well as newcomers. As the universal, cross-vendor meeting place that brings together the who’s who of machine learning, Predictive Analytics World’presents not only unique opportunities to gain knowledge, but the industry’s premier networking event.

Take advantage of the’datafloq community’s’VIP price’using’the code’DATAFLOQPAW
(
15% off the current rates)!

This conference delivers case studies, expertise and resources to achieve:

Bigger wins: Strengthen the impact of predictive analytics deployment
Broader capabilities: Establish new opportunities in data science and machine learning
Big data: Leverage bigger data for prediction and drive bigger value
The only conference of its kind, Predictive Analytics World delivers vendor-neutral sessions across verticals such as banking, financial services, e-commerce, entertainment, government, healthcare, manufacturing, high technology, insurance, non-profits, publishing, and retail.

Why bring together such a wide range of endeavors? No matter how you use predictive analytics, the story is the same: Predictively scoring customers, employees, students, voters, patients, equipment, and other organizational elements optimizes performance. Predictive analytics initiatives across industries leverage the same core predictive modeling technology, share similar project overhead and data requirements, and face common process challenges and analytical hurdles.

What will I learn at Predictive Analytics World?

New apps: New ways to apply predictive analytics.
Do better: How to achieve better results with predictive analytics.
Companies: What companies are at the leading edge of predictive analytics and what are they doing?
Solutions: Which are the best predictive analytics solution providers, what do they do and how do they compare?
Colleagues: Who are my colleagues facing the same challenges as I and how can we work together?
Resources: What other resources are available?

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Tags: AI Artificial Intelligence big data analyst big data scientist Data analytics data science deep learning machine learning predictive analytics predictive models

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