SHARE eLearning Webcasts
Throughout the year, SHARE will be working with our Members, volunteers and vendor partners to bring you new industry information and education through our webcast series. Take advantage of trusted SHARE content without ever leaving the office. Check back often, as new webcasts will be announced frequently.
Sneak Peek — SHARE Academy in Sacramento
Date and Time: Wednesday, January 24, 11:00 a.m. – 11:30 a.m. CDT
Speakers: Scot Nielsen, Director, Project Management and Michael Bleistein, Principal Architect, Micro Focus
Join this winter's SHARE Academy instructors to learn more about the unique SHARE Sacramento program offering. This special "sneak peek" will preview the great content you can expect on Modern COBOL Development. Already registered? Still deciding whether to register? No matter your status, this webcast is for you.
Browser-Based 3270 Terminal Emulation: A Tale of Two Architectures
Date and Time: Wednesday, February 21, 1:00 p.m. – 2:00 p.m. CDT
Speaker: Patrick Fournier, Solutions Architect
In recent years, many users of Java applet based 3270 TE have realized that it was time to migrate to thin-client browser-based 3270 TE to simplify support, reduce costs, and support new client device technologies. But before “pulling the trigger” on your next 3270 TE solution, you should realize that there are essentially two types of browser-based 3270 TE architectures and that the unique simplicity of VIRTEL Web Access' two-tier architecture remains a key differentiator when compared to the multi-tier architecture of its competitors.
This webcast is sponsored by SDS and does not necessarily represent the view of SHARE and/or SHARE members.
So Much Data, So Little Time – How Machine Learning Can Help
Date and Time: Wednesday, February 28, 12:00 p.m. – 1:00 p.m. CDT
Speaker: David Myers, Senior Principal Product Manager, CA Technologies
Digital and other growth initiatives are driving increased workloads on mainframe, making the platform more critical than ever to business success. That’s great news for the mainframe, but it’s creating challenges such as too much data for current resources to analyze and keep up with. Learn how machine learning on mainframe and augmented intelligence can help you:
- Proactively detect when something is going wrong sooner
- Automatically correlate data from many sources to deliver more actionable insights
- Automate corrective action based on learned behavior
- Share insights with analytics engines such as Splunk without breaking the bank
This webcast is sponsored by CA Technologies and does not necessarily represent the view of SHARE and/or SHARE members.