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Text Mining & Analysis

Data Scientists

The Next-Generation of Data Scientists Requires a New Approach

In the recently published Forbes Tech Council  article, “Just when A Data Scientist Has It All Figured Out, The Rules Change,” I had the opportunity to discuss the evolution of Artificial Intelligence and the future prospects for rising data scientists.  In the article, I presented some statistics from The Bureau of Labor Statistics that reinforces…

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AI: The Keystone of Digital Transformation and the Future of Work for Accounting Firms

I recently had the privilege of presenting AI as the cornerstone of digital transformation to the College of Certified Public Accountants, Puerto Rico. The accounting and finance industries have changed drastically in the past few years, and are embracing digital transformation, most notably AI, like never before.  Today, public accountants are using AI for accounting…

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AI Soft Skills

What Are the Soft Skills that Data Scientists Need to Build Effective AI Solutions?

I recently explored the changing requirements of today’s data scientists in a Forbes Technology Council article. While it traditionally has not been the focus, today, soft skills are just as important as technical prowess. Since AI deals with real-world problems impacting people, communication skills and empathy are the traits that companies want to see in…

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Predictive and Prescriptive AI

Predictive and Prescriptive AI

Anticipating versus Controlling Decisions AI-based predictive analytics is gaining steam across industries, helping insurance firms predict customer churn; retailers predict customer preferences; or physicians anticipate the patients that will be making a return visit. It’s becoming quite popular and helping firms root out problems even before they occur; but the problem, is, prescriptive AI has…

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4 Ways to Improve Machine Learning Models

When working on artificial intelligence models, you may feel like you are standing on the shoulders of giants. Improve machine learning models is one of the most challenging tasks for a data scientist and it requires a lot of experimentation and testing. Different optimization techniques can be applied to different types of models. For example,…

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