Machine Learning and Deep Learning Day
Track 1-Machine learning and Deep Learning Day
Track 2- Intelligent Robotic Process Automation Summit
Track 3- Testing Conf
Track 4- Microservice , Container & Serverless Day
Track 1- Machine learning and Deep Learning Day
Mix precision training using GPU
By Yi Dong, Deep Learning Solutions Architect, NVIDIA
Deep Learning for Computer Vision & Time Series Analysis –
By Niharika Karia, Data Scientist, Aspen Technology
Data science and Machine Learning
By Deepti Gupta, Author, Applied Analytics through case studies using SAS and R: Implementing Machine Learning Algorithms
Machine Learning for NLP
An Intuitive Approach to Investment Prediction with Machine Learning
By Al Yazdani, Machine Learning and Data Analytics Manager, State Street
Driven Strategic Planning
By George B. Moseley, CEO & Professor, Strathmore University & AI Driven Strategies
Change it to Building a Financial Scorecard Using Machine Learning
By Nirav Shah, Founder, OnPoint Insights
Track 2 -Intelligent Robotic Process Automation Summit
Scale Your Automation Initiatives with Automated Process Discovery
By Beth Bourg -Senior Product Marketing Manager at FortressIQ
Adding content intelligence to your RPA strategy
By Robert Love, Technical Consultant & Northeast Team Lead, UiPath presales, UiPath
RPA tools and experiences
By David Fortier, Systems Director, John Hancock Financial Services
REALITY-based Dimensions of RPA "What's Old Is New Again
By Mike Radice, Managing Director , ChartaCloud Robotics | robotteca.com | sociallyassistiverobots.com
Robotics and AI, Better Together: Approaches and Use Cases for Integrating RPA and AI Solutions
How To Rise Above The ITOps Chaos Using AI-
By Andy Thurai, Emerging Tech Strategist; Forbes Contributor; AI Consultant; Start-up Advisor; Keynote Speaker; Start-up Investo,Forbes
Bot evolution – from knowledge bot towards conversational bot
How to Lay Foundation for Smooth RPM Implementation
How to Simplify a Complex Process to Make Jobs Easier for a Robot
Track 3- Testing Conf
The quality without testing phas
By Evgeny Tkachenko, Quality Engineering Manager, Wayfair
How Test Automation Frameworks can be executed within a full CI (continuous integration) / CD (continuous delivery) pipeline utilizing the Agile process
By Christopher Hardy, Senior QA Test Automation and Devops Engineer, IBM
Bullet-proofing your Automated Tests
By Brian Le Suer, CEO, Zeenyx Software
Test Automation Frameworks in DevOps environments
By Steve Halzel, Sr. Director of Engineering, Sungard Availability Services
Extreme Agility Concepts in Continuous Quality: How about testing LESS?
By Amir Rozenberg, AVP Product, SauceLabs
Value generation at high speed. Data, Product Management, and Agile in motion
By José Francisco Valiente, Growth Platform Offering Manager, IBM
A real life transformation journey of testing in an industrialized Scaled Agile and Kanban environment
By Darshan Dave, Executive Leader, Mentor and Coach, Strategy Advisor
Microservices Testing - Best Practices - By Venkatesh Venkataraman, Director QA, Oracle Corp
Track 4- Microservice , Container & Serverless
Role of DevOps in the World of BigData and Hybrid Cloud
By Vinay Narayana, Head of Big Data Engineering, Wayfair
Serverless
By Pramod Kumar, Managing Consultant, Wayfair
Serverless Architecture - By Alexy Chakravertti, Consulting CTO, CTO Advisory
Well-Architected Framework - Best practices and Design principles
Are your applications well architected?
How to switch on DevOps in Enterprises or DevOps is a Journey are topics in my wheelhouse - By Thomas Byrnes, Principal Architect, Cognizant
By Rohit Bhardwaj Strategic Advisor | Business Technology Leader | Cloud Architecture | Real-time Analytics,Sales Force.