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Channel: Stories by Babar M Bhatti on Medium
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Agile for Data Science

This post is a collection of ideas and work of others on Agile Data Science, combined with my thoughts on how to apply essence of agile…Continue reading on Medium »

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7 Recommended Books on Artificial Intelligence for Executives

Many people ask me about which books would be good to read on the subject of Artificial Intelligence. So I thought I’d share few of my favorite books that would be good for business executives without...

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National AI Policy Making: Challenges and Opportunities

There’s a race for Artificial Intelligence (AI) domination but only a handful of powerful nations are in it. Other countries are playing…Continue reading on Medium »

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National AI Policy Making — Part 2: Review and Comparison of National AI...

National AI Policy Making — Part 2: Review and Comparison of National AI PoliciesPart 1 of this series of posts about national AI policy making presented an overview of the challenges and opportunities...

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National AI Policy Making — Part 3: Education and Training for AI

National AI Policy Making — Part 3: Education and Training for AIThis post — third in a series about national AI policies — is about AI education and training. AI literacy is a topic that should be top...

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AI Policy Making Part 4: A Primer On Fair and Responsible ML and AI

Bias. Discrimination. Inequality. Inequitable. Irresponsible. Unethical. Unfair. How are all these terms connected to Machine Learning…Continue reading on Towards Data Science »

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Extremist Recommendations — Unanticipated Consequences of AI

As technologists it is hard for many of us to admit that our work may potentially used in a negative way. It is particularly hard to fess…Continue reading on Medium »

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Ultimate AI Strategy Guide

Strategy and AI are terms that are hard to pin down — they mean different things to different people. Combine AI and Strategy — 人工知能 战略…Continue reading on Towards Data Science »

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Essential Guide to AI Product Management

In this post when I use the term AI product management (APM), I mean to include both AI and ML (which is technically more accurate). I…Continue reading on The Startup »

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How is Machine Learning Different from Statistics and Why it Matters

The similarities and differences of Statistics and Machine Learning is a topic that generates plenty of discussion. Many quality articles…Continue reading on Towards Data Science »

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The Decade of Natural Language Understanding and Processing — A Non-Technical...

Natural Language Understanding (NLU) and Natural Language Processing (NLP) have come a long way in the last decade or so. Thanks to the…Continue reading on Medium »

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Is IT a Top Cause of ML and AI Failures?

Its a well-known mantra that culture is a big part of your ML and AI success or failure. Data-driven is the term that is used — overused…Continue reading on Medium »

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7 Types of AI Risk and How to Mitigate their Impact

Identifying and managing AI risk is vital for organizations of all sizesContinue reading on Towards Data Science »

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A Non-technical Leader’s Guide to AI Success

There’s a reason why most AI/ML projects are not successful. It’s a leadership problem. Leaders — you should stop treating AI as another…Continue reading on Medium »

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Getting Design Thinking Right for AI

As AI decision makers and developers, why do we need Design Thinking and how do we use design thinking the right way?Continue reading on Experience Stack »

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The Secrets of Creating a Vibrant Culture For Your Teams.

A no-nonsense guide to creating a high-energy, positive culture for your remote teams.Culture is what happens when no one’s looking. Culture eats strategy for lunch. These are some of the common...

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What Bridges Can Teach Us about AI

Today’s AI reminds me of the early days of building structures such as bridges. The very first bridges were arched, made of masonry, stone…Continue reading on Medium »

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7 Questions Business Leaders Must Ask Before Starting on a Conversational AI...

An AI-based virtual assistant is a class of conversational AI system which helps with tasks, often in customer care domain. Virtual…Continue reading on Medium »

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7 Questions Executives Should Ask Before Starting Any AI Work

Photo by Khaled Ali on UnsplashExecutives struggle with deciding which AI work is feasible and which project should be prioritized over competing work. Here’s my list of 7 questions that executives...

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Essential Guide to Foundation Models and Large Language Models

The term Foundation Model (FM) was coined by Stanford researchers to introduce a new category of ML models. They defined FMs as models…Continue reading on Medium »

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