FALL 2022 IBM AUTOMATION AND DATA & AI OPEN LABS – Washington DC

Get ready for the Fall 2022 IBM Automation and Data & AI OPEN Labs

Are you ready to elevate your IBM Automation and Data & AI knowledge to the next level? Join us on September 20, 2022, for the IBM OPEN Labs workshop. This event is for our IBM Federal civilian agency customers and their contractors. It is scheduled from 8:30 AM to 4:00 PM EST at the IBM Innovation Studio, 600 14th St., NW in downtown DC. If you missed in-person tech events in 2020 and 2021, like we did, here's some good news - this is an in-person participation event.

Registration

Click HERE to Register (The registration is closed). The required registrations are confirmed on a first-come, first-served basis. If you require any further information please contact your IBM sales representative.

Registration Rate

There is no cost to attend this event. Participants are responsible for their business travel expenses, including parking, breakfast, and lunch. ​

Why You Should Attend

Take an active role in your learning and professional development. This is your opportunity to learn and sharpen your skills in the IBM technologies covered in this workshop. Select one or more labs that cover a range of Automation and Data & AI technology. Confirmation of required registrations is on a first-come, first-served basis. Attending this OPEN Labs workshop will expand your knowledge and skills by learning from IBM experts. And by attending, it is your chance to network with other attendees.

Who Should Attend

If you are a practitioner, technology strategist or in middle management who is looking to grow your expertise and expand your perspective, then this workshop is for you. This event is for our IBM Federal civilian agency customers and their contractors.

What Makes OPEN Labs Your Must Attend Workshop

  • Hands-on labs and presentations
  • Valuable Connections with IBM SMEs and other Agency Peers
  • Grow your expertise, Expand your perspective and Learn about IBM technology

Event Agenda

  • 08:30 AM – 09:00 AM: Meet and Greet
  • 09:00 AM – 10:30 AM: Data and AI Presentations & Discussions
  • 10:30 AM – 11:30 AM: AIOps and Integration Presentations & Discussions
  • 11:30 AM – 12:00 AM: Business Automation Presentation & Discussion
  • 12:00 PM – 12:30 PM: Lunch (Participants are responsible for their lunch)
  • 12:30 PM - 04:00 PM: Hands-on labs

Event Outline

Click here for a detailed agenda.

Morning Session - Lectures and Discussions (09:00 AM - 12:00 PM)

Each lecture is about half hour long.

* Data and AI Lectures (09:00 AM – 10:30 AM)

  • (09:00 - 09:30) Cloud Pak for Data: Organize and Infuse AI & Data Analytics to drive your digital transformation
  • (09:30 - 10:00) IBM Cognos and Planning Analytics: Leverage AI to Automate; Visualize; Budget; and Forecast
  • (10:00 - 10:30) IBM Watson Services: E2E AI – Applied Precision Medicine – Custom Modeling

* AIOps, Integration and Business Automation Lectures (10:30 AM – 12:00 PM)

  • (10:30 - 11:00) Instana and Turbonomic: Observability & Application Resource Management - Everything you need for Intelligent IT
  • (11:00 - 11:30) IBM MQ: Where are We Headed?
  • (11:30 - Noon) IBM Automation Electronic Records Keeping: Comply with M-19-21 directive; Transition to Electronic Records

Lunch Break - (12:00 PM 12:30 PM)

Afternoon Session: Hands-On Labs (12:30 PM - 04:00 PM)

The hands-on labs are intended to expose the participants to IBM technology with an opportunity for attendees to learn by doing. The labs are entirely self-paced. IBM SMEs are available to assist you with your questions. The estimated time for completing each hands-on lab is about 4 hours. 

* Data and AI Hands-on Labs

  • IBM Cognos Analytics: Accelerate, Automate, Visualize and Report on data
  • IBM Watson technologies: Disseminating up-to-date COVID-19 information to citizens

* AIOps Hands-on Labs

  • Instana - Enterprise Observability Platform

* Integration Hands-on Labs

  • Introduction to IBM MQ
  • IBM MQ High Availability: Multi-Instance Queue Managers and Replicated Data Queue Managers (RDQMS)

* Business Automation Hands-on Labs

  • IBM Process Mining: Apply data science and process analytics to discover; validate and improve workflow
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