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Sri Rajagopal

Principal

United States

Experienced executive driving growth through strategic planning, process optimization, innovation, product development, GTM strategy, and business operations

Areas of Focus

Education

University of California, Berkeley
MBA
University of Southern California
MS

Past Experience

MAG Consulting
Principal
Ericsson
Consulting (various positions)
Intel
Product Development

Sri is a Principal, based out of Arthur D. Little’s San Francisco office and a member of the firm’s global Telecommunications, Information Technology, Media & Electronics (TIME) practice.

Sri specializes in developing and implementing product, technology, and operations strategies to drive business growth. He has a successful track record of helping clients in data analytics, product development, GTM strategy, process improvement, and organizational set-up. With a focus on strategic planning, process optimization, and innovation, Sri excels in driving growth and optimizing business operations for success

Before joining ADL, Sri held various consulting and strategic roles at MAG and Ericsson. Prior to that, Sri worked at Intel and multiple start-ups, where he led product development and go-to-market (GTM) strategy, successfully launching multiple SaaS solutions.

Sri holds an MBA from the University of California, Berkeley and an MS from the University of Southern California

Synthetic data: facilitating innovative solutions
Synthetic data: facilitating innovative solutions
Synthetic data (artificially generated data that mimics real-world data) enables AI development by addressing data scarcity and privacy concerns, enhancing model performance, enabling testing and validation, mitigating bias and security vulnerabilities, and facilitating prototyping. As we explore in this Viewpoint, synthetic data helps create robust, secure, unbiased AI systems by overcoming data challenges and privacy limitations.
Find out more
Lights! Camera! AI?
Telecommunications, Information technology, Media & Electronics (TIME)
Lights! Camera! AI?
The legal and labor-related questions of artificial intelligence (AI) in media and entertainment are still to be decided, but there are many applications that studios can deploy now to boost revenue. For example, postproduction AI applications have the potential to deliver high value to studios without triggering legal or ethical trip wires. Similarly, AI tools can help media producers dramatically reduce risks and lower production costs, increasing the likelihood of market success.
Find out more
Tightening the data belt
Tightening the data belt
Mark Rowland, Michael Papadopoulos, Lokesh Dadhich, Sri Rajagopal
The era of big data has delivered real business impacts across industries. However, increased data gathering has a downside; ever-growing data storage volumes and compute requirements lead to budgetary and operational constraints. Automatically generated log files silently drive this rapid, enormous data growth. This Viewpoint identifies how companies can successfully improve holistic log file management to deliver benefits by controlling costs, ensuring compliance, and unlocking data value.
Find out more

Sri is a Principal, based out of Arthur D. Little’s San Francisco office and a member of the firm’s global Telecommunications, Information Technology, Media & Electronics (TIME) practice.

Sri specializes in developing and implementing product, technology, and operations strategies to drive business growth. He has a successful track record of helping clients in data analytics, product development, GTM strategy, process improvement, and organizational set-up. With a focus on strategic planning, process optimization, and innovation, Sri excels in driving growth and optimizing business operations for success

Before joining ADL, Sri held various consulting and strategic roles at MAG and Ericsson. Prior to that, Sri worked at Intel and multiple start-ups, where he led product development and go-to-market (GTM) strategy, successfully launching multiple SaaS solutions.

Sri holds an MBA from the University of California, Berkeley and an MS from the University of Southern California

Synthetic data: facilitating innovative solutions
Synthetic data: facilitating innovative solutions
Synthetic data (artificially generated data that mimics real-world data) enables AI development by addressing data scarcity and privacy concerns, enhancing model performance, enabling testing and validation, mitigating bias and security vulnerabilities, and facilitating prototyping. As we explore in this Viewpoint, synthetic data helps create robust, secure, unbiased AI systems by overcoming data challenges and privacy limitations.
Find out more
Lights! Camera! AI?
Telecommunications, Information technology, Media & Electronics (TIME)
Lights! Camera! AI?
The legal and labor-related questions of artificial intelligence (AI) in media and entertainment are still to be decided, but there are many applications that studios can deploy now to boost revenue. For example, postproduction AI applications have the potential to deliver high value to studios without triggering legal or ethical trip wires. Similarly, AI tools can help media producers dramatically reduce risks and lower production costs, increasing the likelihood of market success.
Find out more
Tightening the data belt
Tightening the data belt
Mark Rowland, Michael Papadopoulos, Lokesh Dadhich, Sri Rajagopal
The era of big data has delivered real business impacts across industries. However, increased data gathering has a downside; ever-growing data storage volumes and compute requirements lead to budgetary and operational constraints. Automatically generated log files silently drive this rapid, enormous data growth. This Viewpoint identifies how companies can successfully improve holistic log file management to deliver benefits by controlling costs, ensuring compliance, and unlocking data value.
Find out more

More About Sri
  • University of California, Berkeley
    MBA
  • University of Southern California
    MS
  • MAG Consulting
    Principal
  • Ericsson
    Consulting (various positions)
  • Intel
    Product Development