Nathan Klarer  |  Apr 21, 2020

In a twist that would make iconic American short story writer O. Henry proud, many companies have gone from projecting their best financial years to one of their most difficult.

Nathan Klarer  | Nov 13, 2019

Companies using data science are rapidly eating the market shares of their competitors. This shift can be observed across many industries.

Nathan Klarer  | Sep 3, 2019

It is a natural goal of any organization to maximize the return on investment of their machine learning (ML) projects. To do this, an organization must be aware of a number of pitfalls that can diminish return on investment.

Nathan Klarer  | Jun 11, 2019

More and more business leaders are looking to artificial intelligence (AI) to further their objectives, from building new lines of business to protecting existing businesses.

Keith Klarer  | May 23, 2019

Machine Learning (ML) technology is undergoing rapid adoption in medium and large-sized enterprises, with the number of projects doubling every year.  Spending on ML systems is rapidly increasing and is estimated to reach $77.6 billion by 2022.

Keith Klarer  |  April 28,  2019

If you have an interest in machine learning, you are not alone. Buzz surrounding this new technology has been growing steadily throughout the years, and many companies are acutely aware of how potentially impactful machine learning (ML) technologies can be for their businesses.

Keith Klarer  |  April 16,  2019

Over the last several years, companies have turned to intelligent software solutions to help them drive profitability, maintain a competitive edge, and support increasing workloads.

Keith Klarer  |  April 10,  2019

Business challenges change quickly.  Business tools change quickly. As an executive, you need to become familiar with the potential of the latest tool: Machine Learning. You need to know what it can mean for your business’s bottom line – and that it has the potential to overhaul your business in the coming years.

Keith Klarer  |  April 2,  2019

Machine learning – it’s emerged as something that makes most people either afraid or doubtful. What is it? Why does it matter? Is it anything more than a buzzword that will fade out in a few years? While it’s fair to say that the hype around machine learning (ML) has been considerable,  it’s demonstrably true that ML is every bit as transformative as people claim it is.

Nathan Klarer  |  March 11,  2019

The simplest way to look at artificial intelligence (AI) is perceiving it as a means to improve your business’s service offerings. For example, a software as a service (SaaS) company hires a machine-learning team to improve their music recommendations. This increases revenue. The executive shows the board. The team chalks up a win.