Most business use cases of GenAI in the enterprise setting are centered around productivity. But can GenAI help drive profitability beyond just mere productivity? This is precisely the conversation I had with Mike Fauscette.
As 2023 was an inflection point for AI awareness there is a lot of hype about this decades-old technology that has already gone through 2 “AI winters.” That means AI has essentially been through 2 hype cycles already, and it’s again hyped up for the third time now. Will this be just another hype, or this time is different?
I hope everyone had a Merry Christmas and are ready to welcome the exciting new year of 2024. I apologize for being …more
Ever since 2020, there is an acceleration of the shift to digital commerce. Amongst B2B and B2C sales alike, buying and selling …more
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.
The current macroeconomic conditions significantly accelerated digital transformation. Companies are adopting advanced digital technologies, such as artificial intelligence (AI) to compete more …more
To most laymen, the work of data scientists is a form of digital alchemy. They distill huge volumes of data into bits …more
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?
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
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.
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.
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.
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
If you were asked to pick a single word to describe the world over the past few years, what would it be? …more
On the surface, the airline industry couldn’t be more different from foodservice. Airlines are B2C, primarily selling directly to passengers, but foodservice …more
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.
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.
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.
The interests and investments in AI have skyrocketed since the introduction of ChatGPT. Meanwhile, many businesses are still wrangling with the shift …more
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.
Almost half a decade ago, I concluded my Outperform keynote with the following 2 slides. Was I being too optimistic? In the …more
Last month, I had the pleasure of talking to Hamish Taylor who is the former Head of Brands at British Airways, CEO …more
