MachineCon2019 – KeyNote by Actify Data Labs
- May 24, 2019
- Posted by: Actify
- Category: Events
An agile approach to expedite the “Data” to “Dollar” Journey
Today Artificial Intelligence (AI) and Machine Learning (ML) is possibly the most widely discussed technology trend which is seen as a new age invention to solve important business and social problems. In most cases, machine intelligence is being used as a supplement to human decision making, thereby “augmenting” human intelligence. In this context Augmented Intelligence (the other AI) is proving to be more critical rather than Artificial Intelligence. Augmented Intelligence is also critical in considering the real-life constraints in leveraging machine intelligence within business context.
Business leaders look at Augmented Intelligence (AI) as the next competitive edge to drive incremental top-line or bottom-line impact in their organisations. However, the path from “Data” to “Dollars” (business benefits) is time-intensive and full of challenges. Like an iceberg, the steps that require significant time and effort are mostly hidden under the water. Hence, the process of generating “Dollars” from “Data” appears exceptionally slow and frustrating to most business leaders.
What if, we could navigate the entire data-to-dollar path in an agile manner? What if, we could get a data lake up and running in less than 15 days and create data marts in less than 30 days and have models implemented within 45 days? And last but not the least what if we could empower the business managers to do all the above themselves?
The Actify Data Labs session will outline the agile approach and the tools needed for generating “Dollars” from “Data” at an extremely fast pace. And illustrate the same with a case study for consumer businesses within the Indian context.
CEO, Actify Data Labs
A veteran and evangelist spearheading the evolution of Data Science industry, having
18 years in analytics consulting advising clients in India, Asia Pacific and North America in financial services, manufacturing and retail. Author of the book titled “Business Analytics – Applications to Consumer Marketing” published by McGraw Hill India. Teaches, blogs and helps create the ecosystem for data science and data engineering. In his previous roles, Hindol established the credit bureau analytics for CIBIL, consumer risk scorecards for Citibank and lead the FICO;s consulting practice in India. He was nominated as the top 10 data scientist in India in 2015(AIM).
Head product and Engineering, Actify data Labs.
Technology leader and architect with a passion for open source based full stack technology development. Specializes in Hadoop, streaming data technologies and creating scalable systems. Expert in master data management, data quality assurance, fuzzy matching, image analytics (using feature-based ML and deep Learning) and Natural language Processing.