How to Define a Roadmap for AI Implementation

Live webinar - Thursday, August 20th, 2020

11:00 am - 11:45 am EST

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About the webinar

Artificial Intelligence today is not just a theory. It has many practical and successful applications and AI technology can enhance business productivity by up to 40%.

AI provides enormous amounts of business value across industries and because of its high-value potential, many companies have been scrambling to implement AI within their organizations. These initiatives, when implemented correctly, have resulted in significant returns and improved competitive edge.

If your company has not started implementing AI, it may lag behind its competitors, so it’s critical to evaluate how AI can be integrated into your business.

In this webinar, we will discuss how to build the roadmap for your organization to implement AI projects. We will help you plan your AI project in terms of adoption, and how to check the readiness of your products or services towards building AI-backed features.

What you will learn

How to identify the business use cases to be improved using AI

How to approach and define your AI project initiatives

How to assess the AI initiatives implemented by competitors

A step-by-step process for successful implementation of AI projects, with examples

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Speaker(s) & Panelist(s):

speaker

Nisha Shoukath

Co-founder and COO at Skyl.ai

COO & Technology leader with over 20 years of experience in Product development, Artificial Intelligence and Machine Learning business strategy and acceleration. Consultant to Fortune 100 organizations across IT, Telecom, Manufacturing, Healthcare, Construction, Pharmaceuticals, Retail, Biotechnology, Banking and Insurance sectors to deliver business impact.

speaker

Mohit Juneja

Solutions Architect

Technology enthusiast with 13+ years of experience working in the information technology and services industry. Leads cutting-edge solutions for businesses using Machine Learning and Artificial Intelligence.

speaker

Shruti Tanwar

Lead - Data Science

Extensive experience working at the forefront of innovative projects, building future tech using Machine Learning and Artificial Intelligence.