Democratize your AI to Optimize your Customer Experience
Ever since 2020, there is an acceleration of the shift to digital commerce. Amongst B2B and B2C sales alike, buying and selling …more
Nyenrodians: This is the Way!
Nyenrodians, I hope you enjoyed this guest lecture as much as I did. I hope this GenAI lecture on steroids helped boost some of your AI muscles by making you almost an expert on GenAI. Now that you know enough to be dangerous, please do something with it.
Modern Alchemy 201: Artificial Intelligence – The Next Phase of Digital Evolution
The current macroeconomic conditions significantly accelerated digital transformation. Companies are adopting advanced digital technologies, such as artificial intelligence (AI) to compete more …more
Modern Alchemy 101: Machine Learning – The Art of Turning Big Data into Insights
To most laymen, the work of data scientists is a form of digital alchemy. They distill huge volumes of data into bits …more
Dealing With AI Biases Part 4: Fixing the Root Cause of AI Biases
As data scientists, we often treat the data given to us as the raw input. We seldom question where the data came from and how it was collected. Where did these pre-existing inherited biases come from, and can they be eliminated?
How Can You Get Ready for the Gen-AI?
In the midst of today’s turbulent geopolitical dynamics and the ever-fluctuating landscape of macroeconomics, emerging technologies such as ChatGPT have sparked a …more
Dealing With AI Biases Part 3: Emergent Biases in Operational Models
Emergent biases are not inherited from the training data. That means these biases can still emerge even when we have trained the machine-learning (ML) algorithms with a cleansed data set with no known biases.
Dealing With AI Biases Part 2: Inherited Biases Within Your Data
AI bias problem is currently being thought of as a data problem. And to a large extent, if we can fix the biased data, we would’ve addressed most of the AI biases. However, not all biases are bad. In fact, biases are often introduced in training data to improve the performance of the trained model.
Dealing with AI Biases Part 1: Acknowledging the Bias
Today, most AI practitioners in the industry are treating AI bias as a data problem. To a large extent, if we can fix the biased data, we fix the AI bias problem. However, fixing the biased data is not the only way to address the problem.
Why Quantum Simplex? – Where Perplexity Finds Simple Explanation
If you’ve been following me on social media, you know that I’ve started blogging, and I’ve been publishing on my blog – …more
Imminent Changes in the Pricing Profession
If you were asked to pick a single word to describe the world over the past few years, what would it be? …more
AI is Transforming Everything from Airlines to Food Service
On the surface, the airline industry couldn’t be more different from foodservice. Airlines are B2C, primarily selling directly to passengers, but foodservice …more
Building a Unique Moat – Part 3: The PROS Differentiation
PROS has fortified its market position through a combination of common moats. With a renowned brand, proprietary AI, strategic customer relationships, and robust R&D investment, we stand as a formidable player. But PROS also has a very distinctive moat – the unique synergy between our Travel and B2B.
Building a Unique Moat – Part 2: Not All Moats Are Created Equal
The simple and fundamental truth is that not all moats are created equal. The traditional barriers to entry, such as brand recognition, network effects, and economies of scale, while effective in their own right, are still vulnerable to the relentless march of time and competition. Nvidia and TSMC had developed highly unique moats.
Building a Unique Moat – Part 1: Common Strategies
Most successful companies that stand the test of time usually have some kind of moat. Cost (economy of scale, efficient supply chain, low-cost supplier, efficient operation), intangible assets (brand, regulation, IPs), and switching cost (network effect, integration complexity) are some common moat strategies.
Choosing the Right AI for Your Business Goals
The interests and investments in AI have skyrocketed since the introduction of ChatGPT. Meanwhile, many businesses are still wrangling with the shift …more
Designing Your Gamification Ranks to “Flow”
Have you ever experienced a time when you were so immersed in what you were doing that you forgot about your physical feelings and the passage of time? This highly rewarding mental state is known as flow, and it is studied and characterized by a renowned psychologist Mihaly Csikszentmihalyi.
Today’s Oppenheimer Dilemma isn’t What You Think it is
Almost half a decade ago, I concluded my Outperform keynote with the following 2 slides. Was I being too optimistic? In the …more
Revealing the Secrets to AI-Based Profit Optimization
Last month, I had the pleasure of talking to Hamish Taylor who is the former Head of Brands at British Airways, CEO …more
Generative AI Everywhere All at Once
The interest level for Generative AI (GenAI) has exploded over the last few months. Ever since Outperform with PROS, I’ve spoken to …more
This is the Way… It’s How I Learn and Why I Teach
Last week, I shared my general keynote at Outperform on generative AI. This week, I want to focus on the airline industry …more
This is the Way… To Truly Understand Generative AI Beyond ChatGPT
If you attended Outperform 2023 with PROS, you probably heard my keynote below. I know some of you have been asking and …more