#ai-adoption

#ai-adoption

The study, which surveyed 631 industry professionals nearly double the number from Qualia's 2023 report found optimism about AI's benefits climbed 14% in just two years. Fifty-eight percent of respondents said they were optimistic or very optimistic about AI's potential, while 86% expressed at least a neutral stance. The structure of the real estate market is changing, said Qualia CEO Nate Baker. The title and escrow companies that adopt new technology to significantly reduce operational friction will have a huge advantage.

Customers are getting their head around how to deploy AI,

Various forms of artificial intelligence have been woven into our technology and work life since the 1960s, starting out in robotics and expanding into expert systems and early chatbots. This has, and will continue to evolve, in ways that make it imperative that security leaders have a solid understanding of how to use and integrate these readily available tools in their day-to-day operations and program deliverables.

"The cohort benchmark is based on a comparison cohort of employees within your company who share similar job functions, regions, or manager roles," the company noted. "The calculation uses Job function, Region, and Manager attributes to determine expected values by role. The cohort result looks at the role composition of the selected group, and constructs a weighted average expected result based on matching roles across the tenant."

Consumer Direct Lending is a key strategic advantage for loanDepot one of the few tech-powered, at-scale models of its kind with both best-in-class lead generation capabilities and top-tier customer recapture rates from our large servicing portfolio, Hsieh said in a statement.

The project, coordinated by the European High Performance Computing Joint Undertaking (EuroHPC JU), aims to help UK businesses and researchers take their first steps in using AI to improve productivity and unlock new economic potential. It will focus on raising digital literacy, providing technical expertise, and creating a pathway for companies to embed AI safely and efficiently within their operations.

Today's business landscape is evolving faster than ever. Shifting regulatory expectations, heightened demands for transparency, economic volatility, and intensifying global competition are all contributing to unprecedented complexity and pressure in the boardroom. Breakthroughs in technology-especially AI-are helping organizations and the people within them expand what they can achieve, but not without hurdles to overcome. With no playbook for this era, boards must rise to the challenge to navigate uncertainty and chart a path for the future in real time.

BSI published a report this week that surveyed business leaders from eight countries around the world - including the UK and US - that found 39 percent of business leaders have already reduced junior and entry-level headcount in favor of more AI adoption. And it's not stopping there. The study found that a further 43 percent of business leaders expect to further reduce entry-level roles (which includes both cutting existing roles and not hiring new people) in the next year in favor of AI. A full 50 percent "specifically" said AI is helping them reduce headcount.

And so earlier this year, Lereya kicked off "AI Month," a four-week initiative of dedicated programming that included 17 workshops, 22 speakers, and 71 working demos, the latter presented by the company's employees. The demos were all real tools that placed AI at the center of how work could be done to improve internal workflows or to make Monday.com's customer products even better.

AI adoption is no longer optional in corporate learning; it is an investor and buyer expectation. For investors, Artificial Intelligence is a signal of scalability and long-term growth in a very fluctuating environment. On the other hand, for buyers, AI adoption is a sign of a modern, future-proof platform. Specifically, in the L&D industry, learners witness the potential of Machine Learning via personalization, adaptive AI workflows, and measurable results.

Kaplan's inaugural Real Estate Survey of Trends reveals that 48% of agents expect client growth in the next 6-12 months. However, the study also shows that 46% of agents are not using AI professionally and 52% believe traditional brokerages are inadequately preparing for a tech-driven future. EquityProtect's SmartPolicy technology successfully prevented a title theft attempt targeting an elderly Columbus, Ohio, homeowner this summer. The system flagged a suspicious reverse mortgage request, alerting the owner's daughter who holds power of attorney.

Meta is ramping up the pressure for its employees to use AI. The Facebook parent company is tracking how extensively its teams are using AI through dashboards it rolled out earlier this year, and it created a game to boost employees' usage, Business Insider has learned. Expectations around AI usage vary by teams. Staff in some departments are encouraged to play with AI tools, while others are being pushed to meet specific targets, according to four current employees.

Organizations are scrambling to keep up with employees using AI tools like ChatGPT, text generators, and automation platforms to help them at work. The phenomenon is known as Bring Your Own AI. And while workers are hitting performance goals faster, they're also exposing companies to unprecedented legal and security risks.

When it comes to artificial intelligence, law firms that take an early implementation lead are positioning themselves for compounding advantages in the years to come. So how can you beat your competitors in advancing from "tool mode" - where individual applications solve problems in isolation - to more holistic AI adoption? Join us October 21st at 1 p.m. ET for this discussion about effective and ethical AI implementation in midsize and large law firms.

Almost half of respondents to Ocient's "From Roadmap to Reality" report say that their companies have not experienced meaningful revenue growth from artificial intelligence (AI) investments due to "poor data quality and overtaxed infrastructures." The data analytics firm further found that "security and compliance pressures" are "shaping enterprise deployment strategies that prioritize flexibility and cost savings, driving movement away from the cloud."

During a fireside chat at LinkedIn's San Francisco office on Tuesday, Ryan Roslansky said using AI is like "having a second brain" that knows him "extremely well." It's why AI is helpful almost every time he sends important emails to his boss, Microsoft CEO Satya Nadella. "A lot of the time when I'm sending a super high-stakes email to Satya Nadella or other CEOs or world leaders or etcetera, you've got to make sure you sound super smart when you do that," Roslansky said.

said there is an enormous gap in the market for "AI integrators" - people who can adapt AI tools for practical use inside corporations. "There are 33 million companies in this country," Cuban noted, "and only a select few have dedicated AI budgets or keep AI experts on payroll. But these companies will still need to adapt for the AI era.

Want a crystal ball into the future of Wall Street? You might try starting with Goldman Sachs' annual intern survey. Goldman polled around 2,100 summer analysts and associates for its 10th annual intern survey, asking about everything from AI use to morning commutes to their homebuying ambitions. Technology dominated the topics covered in this year's survey, with close to 100% of respondents saying they use AI in their personal lives, up from 86% in 2023.

The real AI story in most organizations isn't about algorithms; it's about habits. New tools arrive with impressive demonstrations and confident promises, yet the day-to-day routines that decide what gets attention, who can take a risk, and what counts as a "good job" tend to remain the same. Leaders set up special units, roll out training, or look for quick savings, only to find that the old culture quietly resets the terms. When that happens, early gains fade, adoption stalls, and cynicism grows.

Junior talent is very willing to try new tools," he said. "The younger you are, usually the more agile you are at adopting a new playbook and figuring it out.

If you're here, you're likely asking: "Where can AI really make a difference in my day-to-day work, without compromising quality or trust?" We understand that when your service business is built on deep expertise, judgment calls, and tight deadlines, the answer can make or break your operations. That's why, in this blog post, we'll show you concrete use cases of AI in professional services industry, from consulting analysis to legal research, financial auditing, and client delivery.

First, its primary focus is investing in upskilling people, next it will "exiting people in a compressed timeline where reskilling is not a viable path for the skills it needs," and third it will identify areas to drive more operating efficiencies. Sweet said on the subsequent earnings call that Accenture expects savings of more than $1 billion from its business optimization program, which the company says will be invested into the business and its people.

Many companies investing in AI are "unsure" how it will make them more efficient - but employees should still adapt to the tech or risk falling behind, a workplace guru has said. "So far it looks like AI is a great culprit for job and cost cutting, especially in tech firms," Thomas Roulet, a professor of organizational sociology and leadership at the University of Cambridge, told Business Insider. But the anticipated efficiency gain from AI hasn't "fully materialized," and "many firms betting on AI are unsure how this gain will materialize," Roulet said.

After discovering that its own employees were timid about using AI in the workplace, enterprise software giant Workday spearheaded a program to encourage adoption. Ashley Goldsmith, Workday's chief people officer, recently spoke with HR Brew about that initiative, and how her own team is using AI. Adoption boost. Internal research revealed that Workday employees weren't using AI tools because they weren't clear on the appropriate use cases.

Quiet Cracking: Silent Burnout in the Office Unlike " the great detachment", quiet cracking occurs when individuals continue to perform while silently burning out. They attend meetings, meet deadlines, and carry on, but under the surface, stress and exhaustion are eroding their well-being. The numbers tell the story: 90% of workers say their stress is the same or worse than last year. 47% worry about job stability. The average daily commute is now 62 minutes.

It's another finding that illustrates both the pitfalls of rapid AI adoption, as well as the outrageous outpouring of hype that drowns out criticisms of the tech in business circles. Many companies have gambled on replacing their employees with AI agents, only to eat crow when the tech falls flat and they're forced to rehire humans. One MIT study found that an embarrassing 95 percent of companies that incorporated AI saw no meaningful growth in revenue.