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Explore top predictive analytics trends and topics from your desktop
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Archive User
posted
Tue December 08, 2015 10:35 PM
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Predictive analytics is a fast-moving technology. Advancements are occurring at lightning speed, and as a busy professional, you may find it a challenge to keep up with the latest developments. The IBM SPSS On-Demand Webcast Series brings both IBM and external subject matter experts to you to discuss the hottest trends and topics in analytics today. Our goal is to help you take your predictive analytics knowledge to the next level with these presentations on real-world challenges and best practices in areas such as big data, cloud, Spark and advanced analytics.
On-demand webinars are archived recordings of previous live events that we have organized into a convenient one-stop library for your convenience. Check out the list of topics, then view the presentation(s) that interest you when your schedule permits.
Predictive Analytics at Scale: What You Need to Know
Putting Predictive Models to Work: Deploy, Embed & Prosper
Unlock Insights in Your Big Data with Predictive Analytics
Go from Insight to Action with Predictive and Prescriptive Analytics
Advanced Analytics at Scale: Because Business Outcomes Matter
Unlock Big Data Secrets with Purpose: The Right Predictive Analytics Techniques for the Right Results
Ignite your Predictive Analytics with IBM SPSS & Spark
Relying on spreadsheets can be risky: Discover data analysis with SPSS Statistics
Predictive Analytics and the Hybrid Cloud: The Best of Both World
s
What's in Your Fundraising Future?
Confessions of a Former Crime Analyst
Solving the Data Identity Crisis: Finding Context in Your Data with Entity Analytic
s
We’ll add new on-demand webcasts regularly as live events are held, so be sure to check the
Events section
of this community for the latest recorded presentations.
Have an idea for a webinar topic? We welcome your recommendations.
#Cloud
#events
#fundraising
#hybridcloud
#IBMSPSS
#on-demandwebcasts
#predictiveanalytics
#predictivepolicing
#prescriptive
#Spark
#SPSS
#SPSSModeler
#SPSSStatistics
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