New York City

Dr. Ram Singh

Performics Chief Analytics Officer

Albert Einstein said “We cannot solve our problems with the same thinking we used, when we created them.” While today’s advancements have solved many problems, they have also created new challenges, which require looking at problems from different angles, and finding new solutions, and this is what Ram brings to our team.

Dr. Ramendra (Ram) Singh serves as Chief Analytics Officer at Performics, leading analytics consulting, solution and product development functions. Dr. Singh is an accomplished marketing leader with extensive experience serving Fortune 500 brands across industries such as consumer products, technology, communication, education and e-commerce. Prior to Performics, Dr. Singh served as the Chief Marketing Officer at Brandman University, leading analytics, marketing operations and traditional and digital marketing functions. His work on omni-channel, analytics and IMC received national recognition, setting new standards in performance marketing.

Prior to this, Dr. Singh led digital marketing, operations and analytics at large brands such as Laureate, Sprint-Nextel and AOL. Additionally, Ram spent almost a decade leading large consulting engagements at brands like IBM, Hewlett Packard, Transamerica Corporation, Philips and more. Ram earned a Doctor of Education from the Chapman University System, an MBA from the Robert H. Smith School of Business at the University of Maryland and a Bachelor’s Degree in Computer Science from the prestigious Indian Institute of Technology (IIT) system in India.

Ram is a proud father of two, and his kids also double up as his experience coach for “fast-paced” environments, “agile” processes and multi-tasking. When he’s not being an employee, a husband or a dad, he enjoys a round of golf and loves listening to music.

 

Meet Dr. Ram at:

Panel: AI + Search = Relevance at Scale?
Date/Time: 3:00 PM

Search data forms a big part of the backbone for AI technology: innovations in analytics, people-based marketing, voice/virtual assistants, and image recognition all leverage search data to be more accurate. But these innovations also create new and complex data streams for marketers to interpret. How are artificial intelligence and machine learning bringing us closer to the 1:1 Promised Land, and what is search’s role in facilitating that, in particular? What are the privacy and security pitfalls along the way?

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