Data & Analytics: A Fireside with Google, Cisco, and Salesforce

Panelist

NANDINI ANANTHARAMAN: Head of Measurement, Google

Nandini is the Head of Measurement at Google. She and her team are responsible for leveraging Google’s suite of measurement solutions to drive strategy & deliver impact for Google’s major advertisers. She is a keen advocate for data-driven marketing & is the lead and active champion of Women in Measurement & Analytics within Google.

Before joining Google, Nandini led Search Analytics at Publicis. She holds an MBA from the University of Texas at Austin.

Panelist

SVEIN OLSLUND : Senior Director, Growth Marketing Actionable Insights & Analytics, Cisco

Svein is a Marketing & Analytics Executive with 20+ years of experience in high-tech digital B2B marketing. He’s known for strategic and metrics-driven orientation, advocating data-centric decision-making and enabling organizations to elevate their game, challenge the status quo, and bring new ideas and approaches for executive and mainstream adoption.

He currently leads Cisco’s Growth Marketing Actionable Insights & Analytics practice responsible for generating insights to improve customer experience, optimizes demand funnel (acquisition, expansion, retention), and affects marketing, sales, and enterprise-level decisions on market selection, product positioning, and audience-centric content/messaging. Spearheading shift towards predictive/prescriptive insights supported by ML/AI and activation at scale within marketing and sales platforms.

Panelist

PETER COFFEE: VP of Strategic Research, Salesforce

Peter is the VP for Strategic Research at Salesforce and has been with the company for thirteen years. He works with the company’s customers and partners in areas including connected customer engagement, new data models and methods, trust technologies and practices, and business applications of AI-derived techniques. He spent the previous eighteen years writing for publications including eWEEK, Computer Language and AI Expert, and before that worked for ten years as an AI application analyst and desktop computing manager at The Aerospace Corporation and in project management roles for various divisions of (what was then) Exxon Corporation. He has lectured on innovation strategies and AI techniques at Stanford, CalTech, UCLA, Harvard Business School, and the Sloan School of Management at MIT along with other institutions in Singapore, India, and Spain; he advises on curriculum in analytics and “big data” initiatives for three additional U.S. universities. His two published books are How to Program Java and Peter Coffee Teaches PCs; his current work often appears on the UK tech news site “Diginomica“.