Time-Series Forecasting based on Cumulative Data (TSFCD) is a crucial problem in decision-making across various industrial scenarios. However, existing time-series forecasting methods often overlook two important characteristics of cumulative data, namely monotonicity and irregularity, which limit their practical applicability. To address this limitation, we propose a principled approach called Monotonic neural Ordinary Differential Equation (MODE) within the framework of neural ordinary differential equations. By leveraging MODE, we are able to effectively capture and represent the monotonicity and irregularity in practical cumulative data. Through extensive experiments conducted in a bonus allocation scenario, we demonstrate that MODE outperforms state-of-the-art methods, showcasing its ability to handle both monotonicity and irregularity in cumulative data and delivering superior forecasting performance.

In this, our fourth year of Prediction Consensus (now part of our more comprehensive 2023 Global Forecast Series), we've learned a few things about the universe of predictions, experts, outlooks, and forecasts. Of course, we're susceptible to hype as well, which is why we asked ChatGPT to write the intro to this article: This article serves as an overview of how experts think the markets will move, how trends will develop, and which risks and opportunities to watch over the coming 12 months. Let's gaze into the crystal ball. First, we'll look at some big picture themes, and how experts see them playing out over 2023. Inflation: This was the top economic story of last year, so it's a natural starting place.

A majority of technology leaders in the mortgage industry believe artificial intelligence will lead to a reduction in headcounts over the next one-to-three years, according to a new Arizent report. Respondents from managers to C-level executives described the sector's uneven relationship with technology in Arizent's new "AI-Driven Decision Making 2022" report. Among the May survey's 386 participants, 42 mortgage leaders from bank and nonbank lenders, credit unions, brokerages, insurers and servicers described their firms' AI strategies, roadblocks in implementation, and successes. An overwhelming 49% of mortgage respondents said AI will slightly reduce their companies' headcounts, while 20% said it would significantly trim their payrolls. On the contrary, a combined 32% said AI would slightly or significantly increase their ranks.

Tesla has laid off nearly 200 workers, most of them tasked with labeling data to help train the company's Autopilot AI system. The layoffs -- first reported by Bloomberg and confirmed by TechCrunch -- are the latest job losses at Tesla after CEO Elon Musk told company execs that the firm needed to reduce its headcount by about 10 percent. The layoffs centered on Tesla's offices in San Mateo, California, where employees were working on the company's driver-assistance feature Autopilot. Many of those affected were reportedly hourly workers tasked with labeling training data. Such work is essential for developing AI systems but often low-skilled and low-paid.

Tesla has laid off nearly 200 workers, most of them tasked with labeling data to help train the company's Autopilot AI system. The layoffs -- first reported by Bloomberg and confirmed by TechCrunch -- are the latest job losses at Tesla after CEO Elon Musk told company execs that the firm needed to reduce its headcount by about 10 percent. The layoffs centered on Tesla's offices in San Mateo, California, where employees were working on the company's driver-assistance feature Autopilot. Many of those affected were reportedly hourly workers tasked with labeling training data. Such work is essential for developing AI systems but often low-skilled and low-paid.

So RPA has a lot of benefits, and mainly, it's about how many headcount can you reduce, because they [RPA bots] are truly digital workers. Because they are in effect sitting at a computer -- but digitally, of course -- like a human being would, you're just giving it robotic processes to do that are just routine, regular, not thinking through a lot of things, but tasks. So what you want to look at for what cost savings you're getting is how many headcount can you reduce with the digital workers for RPA. So you're starting to talk about measuring it in the cost of FTEs. While the technology is fairly expensive, when you start talking about, "I'm replacing one, two, three people's annual salaries," and that's just covering the first stage.

Globally recognized business builder, thought leader, author, former consulting partner and high-tech executive. Corporate legal departments have historically been resistant to automation and technology adoption, but the effects of the pandemic forced many to shift gears and pursue, or at least actively consider, more automation for legal activities. Artificial intelligence (AI) has been the cornerstone of this strategy, and mapping key investments to business outcomes remains a challenge. Similar to how email and the internet changed how legal departments functioned, AI is growing its impact. This cusp of a revolution will transform the practice of law.

Consumer behaviour looks entirely different than it did a year ago. Lockdowns and shelter-in-place orders gave people more time to browse online, discover, and fall in love with existing and new brands. More than ever, consumers expect relevancy -- and their tolerance for unpurposeful experiences has plummeted. Loyal customers don't want every last bit of your content -- they want tailored experiences that offer the best products and information. They want meaningful quality rather than irrelevant quantity.

Opsani, a provider of a cloud service that leverages artificial intelligence (AI) to help organizations reduce cloud costs, announced it will make Opsani AI available free for the next three months to organizations that have deployed Kubernetes in the cloud as long as they are spending more than $100,000 a month on cloud services. Company CEO Ross Schibler says this initiative, dubbed Project Vital, represents an effort to help organizations preserve headcount at a time when the economic fallout from the COVID-19 pandemic is requiring organizations to dramatically reduce headcounts. By enabling organizations to more efficiently scale down Kubernetes infrastructure resources, many of those organizations may be able to reduce their number of layoffs. At the same time, Schibler notes there are some organizations in, for example, the entertainment and education services segment that are being asked to maximize existing cloud resources to support increased use of applications. In either scenario, IT teams are now being asked to cope with an unprecedented amount of uncertainty, he says.

Economic winter has been a long time coming; the US has had the longest-running bull market in the country's history. Markets, startups, and corporate innovation and expansion have flourished for over a decade. But now we appear to be entering the early days of winter, as markets fall on coronavirus threats and large companies--including automotive, retail, and technology firms in the U.S. and Europe--announce substantial layoffs. Even before the coronavirus-related market declines, my conversations with companies and their consultants indicated that more companies are talking about restructurings and capital expense reductions than expansions. Several economists have raised the odds of a recession in 2020 to 50% or above.