Global Leader in Advanced Analytics Focuses on Helping Fortune 500 Companies Harness the Power of AI to Drive Positive Business Change and Digital Transformation
LatentView Analytics, a trusted analytics partner to the world’s most recognized brands, announced it will host its 10th Analytics Roundtable, the latest in the company’s event series to explore the potential for data and AI to improve the customer experience and drive competitive advantage for business. This upcoming event on “Advanced analytics and Machine Learning to drive digital transformation” will take place on October 26, 2018 in San Francisco.
The LatentView Analytics Roundtable Series has grown steadily in scope and stature over the years with events in North America and Europe, attracting keynote speakers and panelists from Fortune 500 brands across CPG, financial services, automotive, technology and other key verticals.
“AI is becoming a necessary investment for global enterprises, as they’re looking for ways to harness and leverage data as a competitive advantage and driver of innovation,” said Gopi Koteeswaran, CEO of LatentView Analytics. “Over the past ten years, we have been helping clients harness the power of advanced analytics to transform their business processes, drive innovation and enhance customer experience. This 10th Analytics Roundtable will allow attendees to walk away with a greater understanding of the practical and measurable business applications of artificial intelligence and machine learning.”
At LatentView’s 10th Analytics Roundtable, John Copeland, Leader – Marketing and Consumer Insights, Adobe, will deliver the keynote address. Additional panel discussions and presentations throughout the day will feature executives from leading global brands who will provide unique insight and examples of the innovations in advanced analytics and AI that are proving successful within their organizations. The agenda is packed with sessions focusing on becoming an insights-driven business, turning data into a competitive advantage, and how to approach AI and machine learning to improve customer experience.