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Optimizing Resource Management for Accurate Decision-Making
Pharma projects are complex and tend to stretch for a long duration, this makes resource management critical for the success of the projects. Moreover, the multi-country, multi-vendor environment demands accuracy and speed when it comes to managing resource allocation, tracking performance, etc.

Automating resource management, building a centralized database, and using AI and ML for insights is the way to keep up with the growing demands. Join our experts as they elaborate more on resource management problems in the life science space and discuss the ideal approach for efficient resource management.

In this webinar you will learn:

1. Current resource management challenges in life sciences
2. Utilizing technology for resource management
3. Automated reporting for accuracy and saving time using RPA
4. Portfolio decision-making using AI and ML tools
5. Real-life success stories

Oct 19, 2022 11:00 AM in Eastern Time (US and Canada)

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Speakers

Moid Ahmad
Head Pharma Digital Solutions @i2e Consulting
Moid heads our Pharma Digital Solutions. He has 14 years of experience working in IT out of which 9 years in the pharma industry. Moid has a proved track record of delivering global multi-year, multi-million-dollar full cycle system implementations. He also specializes in problem solving, delegating and empowering direct reports. Moid and his team design, develop and deliver solutions that ensures utmost customer satisfaction.
James Kurian
Data Analytics Practice Lead @i2e Consulting
When data and analytics is in question, then James is our go to guy. He works as a Practice lead for Data Analytics at i2e. He focuses on creating products and services that are robust cutting edge. James’s also loves to work with new technologies and delivery innovative solutions to all our client’s problems.