3 Steps to Implement AI Architecture for Autonomous Intelligence
How many of your business users could answer complex questions like “Which 2 products decline in sales every year in the third week of December in California?”
2 out of 10? 80% would just request an analyst to create a report. This results in a tsunami of reports which are never looked at again. Users don't speak SQL and data doesn't speak English. How do you bridge that gap?
It’s time to solve the “last mile” problem of user adoption while reducing mundane data processing tasks for data scientists.
Join this session to learn about:
- Teaching machines how to tell data stories to humans - Humanizing UX through interactive audio-visuals instead of more reports - Leveraging machine learning models to automatically surface and deliver business insights
Learn from industry experts how the largest energy drink manufacturer, largest beverage manufacturer and the largest student loan company are solving these challenges.
Ramesh Panuganty is the Founder and CEO of MachEye. He is a creative technology pioneer (10 patents, several publications) and entrepreneur (launched & exited three start-ups). His projects include: - SelectQ: an ed-tech platform that generates SAT questions on the fly using AI & NLG, with ratcheting complexity until full preparation. - Drastin (acquired by Splunk in 2017): recognized in the top five AI platforms by Gartner, also where Ramesh created "Conversational Analytics" as a new BI market category. - Cloud360 Hyperplatform (acquired by Cognizant in 2012), where Ramesh created “Cloud Management Platforms” as a new market category and built a $29M ARR business.