Data and AI Virtual Forum - June 2020

When:  Jun 17, 2020 from 9:00 AM to 3:00 PM (ET)

AI is the main ingredient to help organizations quickly pivot in today’s environment and ensure a successful digital transformation. To scale AI, organizations need to overcome three common challenges: talent scarcity, data complexity and a lack of trust in AI systems.

We’re launching a series of data and AI virtual forums, specifically designed to give you the tools to tackle the talent, trust and data barriers to AI. Join us on Wednesday, June 17 experience client stories, to hear from industry leaders, to connect with IBM executives and experts, and to understand how IBM is helping you accelerate your journey to AI.

AI for Financial Operations session: 
Change the analytics game: empower users with AI

Forward-thinking businesses are implementing strategies that are focused on process automation, agility and data-driven decisions to help employees do more than just create a budget or report. With self-service analytics, predictive capabilities and natural language processing, modern analytics solutions are changing the game for users of any expertise level, allowing them to be more strategic and provide more value to their organization.

Join us for a discussion with the VP of Offering Management for IBM Planning analytics and Cognos on how analytics solutions infused with AI can transform your planning and analytics – from the office of finance to sales, marketing, supply chain and beyond.
 
Speakers:

Dave Marmer 
- VP, Offering Management, Regtech, IBM Planning Analytics and Cognos Analytics

Mike Norris 
- Director, Offering Management, IBM Planning Analytics and Cognos Analytics

Mike McGeein 
- Program Director, Offering Management, IBM Planning Analytics.

Attend the virtual event in 2 time slots that suits your timezone:
June 17, 2020: 9 AM - 3 PM Eastern time
June 17, 2020: 7 PM - 11 PM Eastern time


Location

Online Instructions:
Url: http://event.on24.com/wcc/r/2300454/A43D15559D896395249EF74C6D270B12?partnerref=cognos
Login: Register using the above URL to attend this event!