
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
Simply AI
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 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 interests and investments in AI have skyrocketed since the introduction of ChatGPT. Meanwhile, many businesses are still wrangling with the shift …more
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
The interest level for Generative AI (GenAI) has exploded over the last few months. Ever since Outperform with PROS, I’ve spoken to …more
Last week, I shared my general keynote at Outperform on generative AI. This week, I want to focus on the airline industry …more
If you attended Outperform 2023 with PROS, you probably heard my keynote below. I know some of you have been asking and …more
By now, it’s no secret that AI is going to revolutionize business as usual and disrupt every part of our work and …more
Disruptions at the global scale seem to be a norm today. We are seeing everything from the pandemic, leading to supply chain …more
Last week, our first post-pandemic in-person Outperform conference concluded with spectacular success. We had 800+ registered with our highest-ever attendance (over 85% …more
As more and more products get commoditized, customer experience (CX) will be the new battleground as brands attempt to differentiate themselves. But …more