#AI Predictive Analytic Automation tools ONLINE FREE EVENT | IBM

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Cloud Pak for Data On Power Systems

Simplify your information architecture and put your data to work on an enterprise system built for data and AI workloads

Cloud Paks – Enterprise-ready cloud software
A faster, more secure way to move your core business applications to any cloud through enterprise-ready containerized software solutions

Run anywhere - Portable, running on-premises, on public clouds, or in a pr-integrated system
Open and secure - IBM-certified, up-to-date software that securesthe entire stack, from hardware to applications
Consumable - Delivering use cases in a highly consumable way – pay for what you use and the capabilities you need

An open, faster, more reliable way to modernize and move to cloud that
reduce development time by up to 84% and operational expenses by up to 75%*

IBM Cloud™ Paks are enterprise-ready, containerized software solutions that give clients an open, faster and more secure way to move core business applications to any cloud. Each IBM Cloud Pak™ includes containerized IBM middle ware and common software services for development and management, on top of a common integration layer — designed to reduce development time by up to 84 percent and operational expenses by up to 75 percent.* IBM Cloud Paks run wherever Red Hat® OpenShift® runs and are optimized for productivity and performance on Red Hat OpenShift on IBM Cloud.

Reduced ETL requests by 25% to 64%
Data virtualization with 40X faster data access
Data science benefits of $1.2 to $3.4 million
Reduced infrastructure management effort of 65% to 85%
Total economic impact net present value of $6.8 million to $12.4 million
Projected return on investment of 86% to 158%

“The improvement in overall governance and control with Cloud Pak for Data, especially from a regulatory perspective, is significant – it has exceeded our expectations.” Director of data management, financial services industry

“Data virtualization is a major benefit. By giving self-service capabilities to users, they will have more understanding of what enterprise data there is, and also understand if their data request is worth sending through the ETL chain. And when the development team does get a request at that point, they’ll know it will be an important request.” Information architect, financial services industry

Finding the best automation tools for Predictive analytics - COMMS - This session is focused for Telecom, Utility, Media Executives. Data Scientists, Business Analysts, and Infrastructure professionals are welcome to join.

Learn about the technologies that provides scalable, low-cost persistent data storage for cloud-based analytics solutions

We will discuss Monitoring, services, Analytics and optimization. Also provide means for certification and resources for individuals. Communication market professionals are encouraged to reach out for details.

Agenda

1. Introduction
2. Predictive Analytics
3. Presecriptive Analytics
4. Visualization
5. Discussing AI Tools and Technologies for predictive analytics
6. Market growth and paradigm shifts
7. Discussing use cases, Demo, and sharing Resources

People are encouraged to join if they have questions like -
Q- What storage management product are based on “on-premise” implementations?
Q- Over the last 20 years the IT Industry has evolved from basically 3 career paths into how many different career paths today?
Q- Business and industry growth has expanded the need for storage management tools and Storage Insights has experienced corresponding growth. What was the rate of growth in 2019?
Q- What two benefits can be realized when using Spectrum Control+Storage Insights with Storage?

Speaker Contact information

https://twitter.com/siwachgautam
https://www.facebook.com/SiwachGautam/
https://www.linkedin.com/in/gautam-siwach
https://medium.com/@SiwachGautam