Machine Learning Times
Machine Learning Times

5 years ago
A Predictive Analytics Primer: Learn How to Drive Actionable Value


The excitement over “big data” has grown dramatically. But what is the value, the function, the purpose? The most actionable win to be gained from data is prediction. This is achieved by analytically learning from data how to render predictions for each individual. Such predictions drive more effectively the millions of operational decisions that organizations make every day.

On Tuesday, September 29th the second Predictive Analytics Times Executive Breakfast launches in Boston, MA. Join Eric Siegel, founder of Predictive Analytics World and author of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, for an eye-opening executive breakfast — witness an accessible, concrete overview of how predictive analytics drives actionable value.

Attendance is FREE for qualified professionals, including those at a senior level, but space is limited. Submit your request to attend today:

Date: September 29th
Time: 8:00-11:00 am
Location: Seaport World Trade Center, Boston, MA
Complimentary Breakfast and Registration to those who qualify

This Breakfast is being held simultaneously with Predictive Analytics World for Business and Predictive Analytics World for Healthcare, and includes complimentary access to these events’ exposition hall.

Additional Opportunities to Gain Free Predictive Analytics Insight:

Date: September 29th
Time: 5:30-7:30 pm
Location: EMPIRE Asian Restaurant and Lounge, Boston, MA
Complimentary Food and Drink will be served
Must RSVP in advance to attend

Redefining the Economics of Analytics
Becoming data-driven requires analytics to be embedded throughout the organization in different functional areas and different operational processes. But how do you provide more and more people with the ability to run any analytics on any data anywhere– without breaking the bank? In this session, you’ll see real-world examples of how Dell embeds analytics across processes and operations to drive innovation and redefine the economics of analytics. After a short presentation, we’d like to offer the opportunity to speak one-on-one with subject matter experts and network with peers to gain a better understanding of how embedding analytics enables faster innovation and improves collaboration between data scientists, business analysts, and business stakeholders– while simultaneously reducing on-going costs.

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