The Product Management for AI & Data Science: Becoming a Successful Product Manager in the Field of AI & Data Science

By BHARAT NISHAD

The way we conduct business is changing as a result of artificial intelligence (AI), and AI product management is at the forefront of this change. This useful guide will teach you the abilities and tactics required to successfully create, market, and scale AI solutions.

We'll start by discussing the responsibilities of an AI product manage

• Language: English
• Publisher: BHARAT NISHAD
• Release date: Oct 26, 2023
• ISBN: 9798868923722

Book preview

The Product Management for AI & Data Science

Becoming a Successful Product Manager in the Field of AI & Data Science

First edition 2023 Copyright© 2023 by BHARAT NISHAD

All rights reserved. No part of this book may be used or reproduced in any manner whatsoever without written permission except in the case of brief quotations embodied in critical articles and reviews. For information, Lightning Source LLC, 14 Ingram Boulevard, PO Box 3006, La Vergne, TN 37086, United States.

The Product Management for AI & Data Science

Cover design and lettering by Bharat Nishad Art direction by Bharat Nishad Author photograph Bharat Nishad

While all of the stories in this book are true, some names and identifying details have been changed to protect confidentiality.

Table Of Contents

First edition 2023 Copyright© 2023 by BHARAT NISHAD

What You'll Discover

About The Book

Who This Book Is For

Introduction

A Description Of Product Management For Ai

What do you think product management for AI entails?

Important Tasks of an AI Product Manager

Skills and Competencies for Managing AI Products

AI Product Management Challenges

Conclusion

A Product Manager For Ai's Responsibilities

A Few Examples Of Product Managers For Ai

Alexa Product Manager At Amazon

Product manager for Google's TensorFlow-based machine learning platform

Product Manager for a healthcare company creating diagnostic tools with AI

Conclusion

The Significance Of Ai In The Business Sector

A Business AI Overview

Ai's Advantages For Enterprises

Enterprise AI Challenges

Conclusion

Various Subcategories Of Ai Technology

Introduction to AI Technologies

The Uses Of Ai Technology

Improvement of AI Technologies

Conclusion

Important Players And Contributors To The Ai Ecosystem

Ai Academics And Programmers

Technology Firms

Governments

The Principal Users

Experts In Ethics And Decision-Makers

Conclusion

Knowledge Of Ai's Ethical Ramifications

Discrimination And Bias

Protection Of Data And Privacy

Independence And Initiative

Losses Of Jobs And Unemployment

Objectivity And Accountability

Conclusion

Determining Business Goals And Ai Use Cases

Describing Business Goals

Decide Which Areas Could Benefit From AI

Analyze The Viability Of Implementing AI

Create A Plan For Implementation

Examples

Conclusion

Outlining The Requirements And Objectives For The Ai Product

Determine The Issue Or Opportunity

Identify The Intended Audience

Set Clear, Attainable Objectives

Set The Constraints For The Project

Examples

Conclusion

Creating A Comprehensive Strategy For The Ai Product

Set Restrictions And Objectives For The Ai Product

Set Important Deadlines And Milestones

Create A Schedule

Resources And Dependencies Must Be Disclosed

Examples

Conclusion

Securing The Top Candidates For Team Members

Identify The Knowledge And Abilities Needed

Observe The Team's Variety

Consider Ai Roles In A Novel Way

Check To See If Your Culture Fits The Company's

Conclusion

Managing A Multidisciplinary Team

Clearly State Roles And Responsibilities

Encourage Collaboration And Honest Communication

Create a system for project management

Provide Assistance And Resources

Conclusion

Working With Outside Vendors And Partners

Select the best partners and vendors

Any vendor or collaboration agreements should have extremely explicit conditions

Clarity is key when speaking

Control Challenges And Dangers

Conclusion

Outlining The Ai Product's User Interface And Overall Experience

Decide who your target market is

Identify the user's route

Think about accessibility and usability

Include ratings and remarks

Examples of AI product user interfaces and experiences

Conclusion

Testing And Prototyping Ai Products

Set restrictions and objectives for the AI product

Determine the supplies and equipment required for the prototype and testing

Establish a prototype

Perform tests

Methods For Creating And Testing Ai Products

Conclusion

Construct And Incorporate The Ai Product

The structure and design are complete

Create and put into use the AI solution

Include the AI product in current processes and infrastructure

Testing and validation should be finished

Examples of the creation and use of AI products

Conclusion

Planning The Introduction Of An Ai Product

Pick a market sector

Choose your marketing and advertising tactics

Prepare to introduce your product

Establish a budget and schedule

Keep an eye out for changes and assess them

Examples of AI products, along with the launch dates for each one

A Tailored Suggestions System

Conclusion

Bringing Attention To And Promoting The Ai Product

You should identify your target market

Emphasize the special qualities and advantages of your product

Utilize resources available online, such as social media

Create quality content

Cooperating With Authorities And Allies

Products that are commonly used in AI and potential marketing and advertising approaches

Conclusion

Compiling And Evaluating Client Feedback

Determine your goals

Pick the best technique for acquiring information

Review the remarks

Send suggestions, then take the required action

Track And Document Progress

Some AI products have been enhanced as a consequence of customer input

Conclusion

Selecting The Most Important Changes And New Features

Obtain consumer opinions

Learn about market trends

Determine what should come first based on its importance and usefulness

Include important people

Review And Update Regularly

Conclusion

Limiting