The main takeaway from the 2020 State of Enterprise Machine Learning survey is that a growing number of companies are in early stages of ML development.
ML Ops platform is a significant and central piece in AI journey that allows to deploy, train, and monitor all production machine learning models.
Data Scientists complain of spending a disproportionate amount of time in sourcing and cleaning of data before training the ML models. With ML Ops platforms deployed, the no of ML models deployed have significantly improved.
What is the ground reality? How can emerging enterprises select a ML Ops platform? What are some use cases of ML Ops platform?
Join us for this roundtable to discuss and find answers to ML Ops platform and their role in speeding up the AI journey.
Presenting Partner
Abzooba is a Big Data, Cloud, and Advanced Analytics solutions company that instruments cognitive journeys for enterprises. We assess the cognitive maturity of our customers’ processes and build smart solutions to infuse the power of cognition and insights into decisioning.
As a trusted Artificial Intelligence (AI) partner, Abzooba develops end-to-end AI solutions, delivering disruptive value. From data assimilation and transformation to AI Model deployment, we augment the digital transformation journey using our AI lifecycle management framework, xpresso.ai.
Headquartered in Milpitas, USA, with ISO 27001 certified development centers in Kolkata and Pune, India, Abzooba has been continuously delivering bleeding-edge AI solutions to more than 40 clients across retail, healthcare, banking, financial services, and manufacturing, for more than a decade.
Why Attend?
Navigating and addressing the challenges in effective deployment of MLOps
Best practices for effective data science management
How adopting MLops can help companies with ml culture?
Keys Pillars of ML Ops
Our Enthusiasts Speaking
Michael Waitze
Founder
Michael Waitze Media
Suryapratim Sarkar
Head of Data Science
Zomato
Bhanu Kumar
Mentor Data Science
Upgrad
Santosh Bhat
Head of Data Science
PolicyBazaar.com
Suryapratim Sarkar
Research Data Scientist – Philips
Mentor Data Science – Upgrad
Puneet Kaur Kohli
Chief Technology Officer
Universal Sompo General Insurance Co. Ltd.
Manoj Kumar
VP Head of Data Platform
Paytm
Birendra Kumar Sahu
Head of Data Engineering and Science
Razorpay
Mukesh Jain
CTIO & VP Insights & Data
Capgemini India
Prasanna Lohar
Head Technology – Digital | Innovation | Architecture
DCB Bank Ltd.
Harshil Parashar
Director Analytics
1mg
Mukesh Jain
Technology & Innovation Specialist
Paul Mathew
Director & Practice Leader
LEARNINGS & LEADERSHIP
Parth Sharma
Chief data scientist
Jasper Colin Research
Narasimha Medeme
Director Data Science