The year 2021 may well see a turn in the trajectory of AI. As DataRobot notes in its predictions for the new year, “Within the enterprise, we finally expect a wholesale move from ‘Experimental AI’ to ‘Operational AI,’ as organizations must move out of the lab and beyond pure experimentation.” In fact, Gartner is forecasting that 75%…

Artificial intelligence, among the most prevalent technologies in the world at the moment, has made significant contributions to the world around us ever since it first emerged on the scene. Think about it — the chatbots that engage with us when we visit a website, the smart speakers in our homes. They are all artificial intelligence-driven tools that…

Artificial Intelligence (AI) and Machine Learning (ML) are already being leveraged for increased efficiency and greater success in public web data-gathering operations.

It’s not a secret that web scraping can be complex and challenging. Part of that challenge is the fact that much of the process consists of repetitive and…

The “Economies of Learning” are more powerful than the “Economies of Scale”

This may be my most powerful concept (outside of the Schmarzo Economic Digital Asset Valuation Theorem and the…

What Do Artificial Intelligence Examples Mean?

"Artificial Intelligence is one of the most important things humanity is working on. It's more profound than I don't know, may be electricity or fire." - Google CEO Sundar Pichai

We are living in an era of Artificial Intelligence (AI) and robotic machines. The future we used to see in the movies back in our childhood is here. We are finally embracing the…

In the blog “How Can Your Organization Manage AI Model Biases?”, I wrote:

“In a world more and more driven by AI models, Data Scientists cannot effectively ascertain on their own the costs associated with the unintended consequences of False Positives and False Negatives. Mitigating unintended consequences requires the collaboration across a diverse set of stakeholders in…

I myself do epidemiologic research, which rarely calls for developing machine learning models. Instead, I spend my time developing logistic regression models that I have to be able to interpret for the broader scientific (and sometimes non-scientific) community. I have to be able to explain in some easy, risk-communication way not only the…

Generative Pre-trained Transformer 3 also referred to as GPT-3 is the next big revolution in artificial intelligence (AI).

In 2018, a startup, OpenAI was the first to create the autoregressive language model. GPT-3 was deemed to be the largest autoregressive language. The program has been trained regressively on approximately 45 terabytes of text data which has been processed through 175 billion parameters.…

In recent years, we have seen the Artificial Intelligence field of study appear on several news programs on TV, Radio and Internet.…

NeoML, launched by ABBYY, the digital intelligence company is an open-source library ideal to build, train, and deploy machine learning (ML) models.

The open-source library which was earlier launched in June 2020 is now available on GitHub as well. NeoML provides huge support to both deep learning and traditional machine learning…

Despite all the havoc, 2020 has been a good year for tech and a good year for AI.

We already see the green shoots of recovery at the end of 2020 and 2021 holds much promise for growth and technology

 Here…

Summary:  There is now sufficient experience among mid and large sized companies starting their AI journey to identify a single best practice for moving from AI experimentation to scale-up: the AI COE (Center of Excellence).

If you are a mid-sized business, government organization, or educational…

With over 62 Million viewers, ‘The Queen’s Gambit’ is currently the #1 show on …

Lean Six Sigma continues to remain relevant as a way to improve business process capabilities. Artificial Intelligence and data analytics go hand in hand with Lean Six Sigma in terms of searching for truth in data to improve processes. 

Lean Six Sigma practitioners and Data…

Much has been said about GPT-3 already.

With its 175 billion parameters and a massive corpus of data on which it is trained – GPT-3 is already enabling some innovative applications

But GPT-3 could help pave the way for a new way of developing AI models

The GPT-3 paper is called…

Recently, someone (not me) suggested in a tweet to Judea Pearl, let's have a Kaggle** competition on the topic of Causal AI. I love the idea, so I am trying to promote it with this blog post. Big Pharma could fund such a competition for much less than what they pay for a TV commercial, and the technical insights they might gain from this exercise might prove to be invaluable to the pharmaceutical industry.…

Diversity and inclusion (D&I) increasingly are becoming a focus area for businesses. And it is not just because it is the right thing to do, but it also makes excellent business sense. According to McKinsey, the top quarter of companies on the diversity list were 33 percent more likely to be among the most profitable in their…

Coronavirus pandemic is stretching the healthcare operational resources to an immense extent. During such a brief duration of time, COVID—19 has become one of the biggest challenges that humanity has to face in the twenty-first-century world. Many complications surround this pandemic regarding the …