Accelerating out of the COVID Curve: How AI and Analytics Are Making Work-from-Home IT Smarter and More Effective
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Thursday, October 29, 2020
Time: 9:00 a.m. PT, 12:00 p.m. ET
In the wake of the impact of COVID-19, workers of all types are settling into the new normal of working remotely over the long term. Although this may appear to be a natural shift for IT professionals, given the highly digital, virtual nature of much of their work, in practice these workers are facing many of the same challenges encountered by their peers across the business. In-person meetings, physical proximity, and impromptu office chats can play a role in smoothing out the rough edges of imperfect processes and technologies. In this environment, accelerated digital transformation can be the key to keeping IT on track to deliver a high level of value to the organization.
In this timely webinar, we’ll explore specific ways digital transformation is making work-from-home IT smarter and more effective, focusing on:
- Pre- and post-COVID-19 case studies
- Hardware implications
- Analytics software capabilities for enabling transformation
- Data-input-to-data-center view of leading practices in current environment
If your organization is seeking ways to operate even more effectively in a work environment that has been turned upside-down, this webinar is for you. Please join us!
Monica Livingston leads an AI sales team at Intel Corporation driving implementation and deployment of AI solutions for end customers. She has previously held roles in large account management, field applications engineering and hardware design. She is passionate about tech, accessible STEM education and career development. Monica earned a Masters of Engineering in Electrical Engineering from the University of Florida and an MBA from the University of North Carolina at Chapel Hill.
Peter Baquero is passionate about innovation and analytics. He has been helping organizations realize the transformative power of their data for over fifteen years. He is currently a manager in the Data and Analytics Center of Excellence at SAS where he leads a global team of data engineers responsible for the development and support of enterprise data assets.