Accelerate Your Cloud Adoption Journey
Date: Thursday, May 11 at 2 p.m. ET/11 a.m. PT
Many organizations are increasingly using the public cloud to scale architecture, increase compute power and enhance security. But rapid growth without the right administration leads to oversized workloads, idle consumption and misspent cloud resources.
In this session, we’ll talk about how organizations can adopt a strong cloud migration strategy for improved service levels, enhanced ability to meet workload demands and faster revenue growth. You can move to the managed cloud platform and accelerate your cloud adoption journey with Insight’s workload, data and app migration services.
Organizations that should join us include those:
- In the early stages of cloud adoption
- Looking to optimize their current Microsoft cloud environment
- Exploring managed services for their cloud innovation
- Looking for app innovation
- Interested in growing data intelligence
- Looking to build a robust and secure cloud environment
Claim your seat now.
About the Presenters:
Jason Wilson, Technical Solution Executive, Insight
Jason brings more than 25 years of industry expertise supporting a broad range of enterprise hardware and software products and services. In his current role, he serves as an Azure team lead and Azure technical solution consultant — helping developers, database and system administrators, and executives make better decisions to modernize their business strategies.
Carm Taglienti, Distinguished Engineer and Portfolio Director, Insight
Carm has more than 25 years of experience as a cloud compute, data science, data analytics and data management expert. He uses deep expertise in cloud and AI solutions architecture across multiple industries and technical domains to share thought leadership that helps organizations build better cloud adoption strategies. Carm also serves as an adjunct professor at Northeastern University Khoury College of Computer Sciences and the College of Professional Studies teaching graduate courses in data science, cloud computing and analytics.