As organizations grapple with the sudden economic turmoil created by the pandemic, there is a critical need to balance cost savings with the need to drive innovation.
We’ve assembled a panel of thought leaders in analytics and machine learning to understand how their organizations are optimizing cloud costs associated with Data Analytics and Machine Learning during the COVID-19 pandemic.
This one-hour webcast panel and Q&A will explore the greater need for visibility and real-time insights into data workloads in an increasingly virtualized world. Our panelists will dive into how you can optimize TCO for the short- and long-term and introduce cloud cost-saving efficiencies that stay.
We want you to walk away from this community discussion with an arsenal of tactics to implement in your organization, including:
+ Top tips for optimizing big data processing costs in the cloud
+ Tactics to implement in order to identify and eliminate wasteful spend
+ Best practices for achieving TCO in an open data lake
Moderator
Mohit Bhatnagar, SVP Product Management, Qubole
Panelists
Justin Wainwright, Systems Analyst
Rajit Saha, Director, Data Analytics