Customizing the Infinitely Configurable AI: Your Data as Configuration Parameters
In today’s highly volatile business environment, the adoption of artificial intelligence (AI) has become indispensable for the success of businesses. AI offers …more
Simply AI
In today’s highly volatile business environment, the adoption of artificial intelligence (AI) has become indispensable for the success of businesses. AI offers …more
Last week we had our annual Outperform With PROS conference in Orlando Florida. Overall, it was a great success with 900+ attendees. …more
It is that time of the year when I am crunched for time prepping for our annual customer conference, Outperform with PROS, …more
The ROI of GenAI Today, after ~1.5 years since the release of ChatGPT, the imperative for every organization to leverage generative AI …more
A couple of weeks ago, I had to pleasure of visiting Sofia for the first time. And it’s truly an honor to …more
The super-fast advancement in AI often makes me look back and ponder how far we’ve come. And by looking at the path …more
In my previous blog post, I shared that I was very honored to be chosen as one of the 60 leaders on …more
In 2021, I was privileged to be invited to contribute to an e-book: 60 Leaders on AI. This e-book was put together …more
Last week I had the pleasure of giving a masterclass on generative AI (GenAI) as a keynote at DMX, the annual National …more
There is absolutely no doubt that AI is going to play a pivotal role in shaping the future of work. Some even …more
The global interest level for AI is off the chart, especially generative AI (GenAI). So April is going to be a very …more
DMX 2023 Last year (March 2023), I was invited to give a keynote at DMX, the national digital conference organized by the …more
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?
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.