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predictive analytics

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Although I’m not certain that they all were “Robert Wendland originals,” my late father had many witticisms to which I credit him. With impeccable timing, a simple, pithy phrase would be spoken that was not only appropriate for the moment but also stuck with me for a lifetime. One in particular that I reference often suggests that “You can’t drive forward if you spend your time only looking in the rear-view mirror.” The rate of…

Data analysis forms the backbone of modern marketing ecosystems. Every marketing campaign that you run can be analyzed vis-a-vis user behavior, messaging, demographics, and so on. While the jury is still out on if data is the new oil, organizations fiercely compete on data analytics to gain a competitive edge. Predictive models of data analysis take the game one step further. Instead of analyzing a campaign after it has ended and gleaning insights from it, predictive models…

I was recently in the market for new makeup and spent some time playing around with Sephora’s Visual Artist app that allows me to experiment with different looks and products through augmented reality. The app recommended products based on my purchase history, skin type and beauty preferences. It made for a great experience and was a lot of fun! The root of the app is predictive analytics. By knowing my demographics and what I had…

In the age of coronavirus, when millions of Americans have lost income due to business closures and can’t pay their bills, utility companies are worried. They have always worried about their most vulnerable customers, but now they are also worrying about a new group of people: middle-income earners who have lost their jobs, are suddenly unable to pay their energy bills, and have begun carrying high balances. Analysis of one mid-Atlantic gas company’s most recent…

The AI revolution is in full swing as firms in virtually all industries are using AI techniques to boost their bottom lines. An MIT Sloan Management Review survey-based report found that enterprises increased AI spending by 62 percent in 2019, and more organizations are expected to invest in AI in the coming years. However, techniques such as predictive analytics can be seen as “rocket science” by non-technical teams, leaving money on the table. In spite of massive investment,…

AI-enabled predictive analytics enables companies to make better decisions based on how effective their past behaviors were. Since the advent of modern computing, organizations have been using their data to augment their decision-making processes. Predictive modeling has become a standard when it comes to anticipating your enterprise’s future needs, such as inventory stocking, purchasing and trends of all sorts. However, as more advanced tooling has become available, companies are increasingly using machine learning to further…

A couple of years back, Gartner anticipated for the year 2018, that under 0.01 percent of purchaser versatile applications will be viewed as a money related achievement. The disturbing truth has stirred up the business people start to finish who stay caught in the positive reasoning web and taboo the word ‘disappointment’. On the off chance that you need your application to remain in the loud application commercial center, at that point the key to…