Forecasting, to estimate future events, is crucial for business and decision-making. This paper proposes QxEAI, a methodology that produces a probabilistic forecast that utilizes a quantum-like evolutionary algorithm based on training a quantum-like logic decision tree and a classical value tree on a small number of related time series. We demonstrate how the application of our quantum-like evolutionary algorithm to forecasting can overcome the challenges faced by classical and other machine learning approaches. By using three real-world datasets (Dow Jones Index, retail sales, gas consumption), we show how our methodology produces accurate forecasts while requiring little to none manual work.

Netail, a technology that enables retailers to auto-identify competitors across the internet and track their assortments, availability and optimize prices in real time, announced the closing of $5 Million in seed funding. The round was co-led by Magarac Venture Partners (MVP), which provides early-stage venture capital to dynamic entrepreneurs and successful technology companies throughout the Midwest, and Dr. Andrew Ng's AI Fund. Other investors include HKSTP Ventures. Consumer behavior has changed dramatically, and the majority of purchase decisions are now made online via search, marketplaces and social media. With retailers struggling to adapt, Netail's AI technology is designed to help them succeed by attracting, converting and retaining customers in these increasingly competitive digital arenas.

"The pace at which themes are transforming businesses is blistering, but the adoption of many technologies -- like smartphones or renewable energy -- have surpassed experts' forecasts by decades, because we often think linearly but progress occurs exponentially," say the strategists. They say a paradigm shift in the explosion of data, faster processing power and the rise of artificial intelligence will bring about the "fastest rollout of disruptive tech in history." And in the big stock universe, an increasing few are showing investors the money. "Over the past 30 years, just 1.5% of companies generated all the net wealth on the global stock market, meaning that actually only a handful of disrupters ("superstar firms") really influence long-term financial markets," says Israel and the team. Here are the 14 technologies: 6G, brain computer interfacing (BCI), emotional artificial intelligence, synthetic biology, immortality, bionic humans, eVTOL (electrical vertical takeoff and landing vehicles), wireless electricity, holograms, metaverse, next-gen batteries, oceantech (ocean energy, precision fishing, etc.), green mining and CCS (negative-emissions technology that captures and stores carbon dioxide before it can be released).

Prior to the pandemic, there were rumblings about flaws in e-commerce systems, but beyond the occasional negative story and some relatively minor complaints, it was not really a big deal as 2019 US e-commerce sales steadily grew to 11% of total retail sales. Ready-to-eat food delivery also'arrived' and was growing well. Then life as we knew it stopped. Food delivery services continued to flourish, even with high fees, cold food, and driver sampling of your meals. But the inherent flaws in the food delivery supply chain became glaringly obvious.

Nowadays, almost everybody is aware of the effect Artificial Intelligence (AI) has on our every day lives. AI is already a part of many people's lives and maybe already a part of your life too -- whether you realize it or not. Alexa), Google Home, and Apple's HomePod (with Siri) are perhaps the three most popular products in the thriving field of AI assistants. It's estimated that Amazon has sold about 25 million Echo devices up to now, and they expect that number to go double or more by 2020. These AI assistants products understand spoken commands and speak in humanlike voices using natural language.

NEW YORK – It would have been easy to turn on their computers at home over plates of leftover turkey and take advantage of the Black Friday deals most retailers now offer online. But across the country, thousands of shoppers flocked to stores on Thanksgiving or woke up before dawn the next day to take part in this most famous ritual of American consumerism. Shoppers spent their holiday lined up outside the Mall of America in Bloomington, Minnesota, by 4 p.m. Thursday, and the crowd had swelled to 3,000 people by the time doors opened at 5 a.m. In Ohio, a group of women was so determined, they booked a hotel room Thursday night to be closer to the stores. In New York City, one woman went straight from a dance club to a department store in the middle of the night.

Walmart and Microsoft are doubling down in their offensive against Amazon. The retail giant said Tuesday it was entering into a strategic partnership with Microsoft on'digital transformation' that will involve Walmart leveraging the firm's Azure cloud solutions. The five-year agreement is aimed at helping Walmart compete better against Amazon, which is taking a growing share of retail sales in the United States and globally. Walmart said Tuesday it was entering into a strategic partnership with Microsoft on'digital transformation' that will involve Walmart leveraging the firm's Azure cloud solutions Microsoft and Walmart said the partnership was focused on using artificial intelligence and other technology tools to help manage costs, expand operations and innovate faster. 'Walmart's commitment to technology is centered around creating incredibly convenient ways for customers to shop and empowering associates to do their best work,' said Walmart CEO Doug McMillon.

ANZ Bank has turned to machine learning to improve existing forecasting techniques. Economists Jack Chambers and David Plank applied the technique to monthly retail sales data, and compared it to the standard error found in consensus surveys compiled by Bloomberg. The machine learning process used by the pair was called "random forest". Think of a standard decision tree model, which maps out decisions or actions and their possible consequences. It follows that the "forest" is comprised of multiple decision trees, which are calculated and averaged to find correlations with retail sales.

Most people have heard of AI (artificial intelligence) and BI (business intelligence), but few have heard of CI (customer intelligence). Some even call it cloud intelligence because so much customer data is now stored in the cloud. Is CI for real or just a figment of our imaginations? Before we get to the numbers, let's look at the definitions. AI is all about getting computers to perform tasks or processes that would be considered intelligent if done by humans.

Technology expectations and economic statistics are clashing for now -- but the reality is more promising than it appears. We see the effects of transformative new technologies everywhere except in productivity statistics. Systems using artificial intelligence (AI) increasingly match or surpass human-level performance, driving great expectations and soaring stock prices. Yet measured productivity growth has declined by half over the past decade, and real income has stagnated since the late 1990s for a majority of Americans. What can explain this paradox?