90 articles
Thai companies expect AI ROI to nearly double to 35% by 2028, but data gaps, weak governance, and unprepared workforces threaten those targets.
Only 38% of companies are ready for AI's storage demands, even as 99% expect data infrastructure needs to surge dramatically in the next three years.
Companies cutting staff to fund AI are now scrambling to rehire, only to find the skills they need are already inside their own organizations.
Enterprise AI is shifting from isolated pilots to company-wide infrastructure, as Wonderful's $550M Series C and 35-market reach make clear.
47% of companies now use workforce analytics like NFL teams use game film, turning employee data into a competitive edge worth up to 8.7x ROI.
61% of UK workers have received no AI training, even as companies deploy autonomous agents across operations, creating a hidden risk for businesses.
Only 7.5% of companies have adopted AI in learning, yet 82% call it important; integration gaps, trust issues, and misaligned vendor priorities explain.
Only 37% of firms say AI has helped their bottom line, and HR is now the key to closing that gap, according to new research from Lattice and McKinsey.
Only 8% of enterprises see AI ROI despite massive investment, because bolting AI onto outdated operating models blocks real productivity gains.
AI in retail delivers 10–25% cost cuts and faster ROI, but scaling it requires clean data, workforce adoption, and strategy beyond isolated pilots.
Only 24% of workers feel equipped for AI adoption despite 77% of leaders believing they've prepared their teams, fueling burnout and disengagement.
79% of executives expect AI revenue by 2030, but only 24% can explain where it will come from; here's how SMBs can fix their AI ROI problem.
Enterprise AI success depends on integration across data, infrastructure, and operations, not just the best model; here's how to build that system.
Healthcare leaders and workers are dangerously out of sync on AI strategy, with gaps of 26 points or more driving the industry's lowest AI productivity.
84% of executives trust AI output without review, yet only 11% say their data is ready for AI, creating a corporate governance crisis.
AI agent control planes are becoming enterprise's hidden backbone, as 40% of large firms now scale agents while most struggle to turn productivity gains.
Workers are outpacing their companies on AI adoption, yet 84% of organizations have not redesigned jobs or workflows to match their employees' new.
Legacy systems, not algorithms, are the real barrier to enterprise AI adoption, forcing companies to modernize infrastructure before AI can scale.
Only 6% of companies call their AI transformation truly transformative; research shows measurement, governance, and workforce readiness matter more than.
34% of companies now report real ROI from EHS AI investments, as integrated platforms shift safety programs from reactive response to predictive.
Enterprises are ditching fragmented AI vendors for full-stack delivery, as Coforge and Pega bundle consulting, software, and managed services into one.
Cognizant's CEO earned a second TIME AI100 nod by scaling 8,000 AI engagements and certifying 20,000 workers, redefining enterprise AI transformation.
Preparation beats speed in AI: companies that prioritized data quality and governance hit ROI in 7.3 months, nearly 1.5 months faster than those who.
Skills gaps now outrank budget as the top barrier to AI success in real estate, with 36% of CRE leaders citing talent shortages as their biggest obstacle.
Most companies are adopting AI faster than they can secure or govern it, and attackers are already exploiting that gap, ISACA warns.
98% of companies have deployed AI, but only 5% can measure results, exposing a costly gap between AI adoption and the orchestration needed to deliver.
Fewer than 1 in 3 tech leaders can link AI spending to financial growth, but a new Jira-native tool aims to change that with verified ROI data.
FinTechs outpace traditional banks at AI productivity, but a global study of 352 firms finds both failing to leverage AI for leadership and strategy.
Eight in ten APAC leaders plan to increase AI spending, yet only 21 percent have achieved sustained business value, down from 26 percent earlier this year.
Enterprise AI is shifting from experiments to autonomous agents that run workflows alone, with 40% of enterprise apps expected to feature AI agents by.
Legal AI adoption fails without strategy; Epiq Advisory and Legora are partnering to close the gap with expert change management and agentic AI.
AI success depends less on technology than on redesigning work itself, according to leaders at India's ET Workplace 2035 conference.
AI-first contact centers report stronger profits and customer satisfaction, with 91% of service leaders facing executive pressure to adopt AI strategies.
82% of workers waste hours copying data between disconnected AI tools, but embedded AI systems cut that burden by 25% or more, new Workday research finds.
Transportation companies are sitting on vast AI gold but can't access it; legacy systems, siloed pilots, and workforce resistance block real business.
Boards are losing the AI race not to bad technology, but to ignored human dynamics; only 22% of firms without an AI strategy say it's delivering value.
India's AI skills shortage now rivals customer adoption as the top barrier, even as 85% of developers report ample cloud compute access.
Companies that prepare teams for AI before deployment see faster ROI; one cooperative hit 20% subscriber growth after nine months of readiness work.
Two-thirds of companies say recognition drives AI adoption, but only one-third think their programs work, exposing a costly strategy gap.
Enterprise AI adoption is scaling fast, with IMA deploying thousands of AI agents and Globant reporting 60% quarterly revenue growth by tying pricing to.
Gartner predicts 30% of firms will blend HR and IT teams by 2029 as agentic AI reshapes work, and experts say the time to prepare is now.
AI and machine learning hiring jumped 88% year-over-year in 2026, and five specialized roles are driving the boom as enterprises scale production-ready AI.
Over 90% of employees bypass corporate AI tools, proving strategic judgment, not technology spending, is now the real competitive edge.
Most companies can't see their own AI agents running right now, and a new industry benchmark aims to close that dangerous governance gap.
83% of legal teams can't measure AI ROI despite rising budgets; here's what separates the top 7% who have successfully scaled AI.
IBM and OpenAI are partnering to turn AI models into real enterprise workflows, targeting the true adoption gap: 60% of AI failures are people problems.
79% of Malaysian SMEs are stuck in AI pilot mode; here's what's blocking full deployment and how businesses can finally scale AI adoption.
Employees are using nearly 50 AI apps outside company oversight, yet 46% of employers still aren't seeing ROI from their shadow AI investments.
New research finds 53% of companies can't embed business context into AI systems, even as 80% plan to increase AI spending in the next two years.
Enterprise AI spending is fragmenting across departments, making costs nearly impossible to track; new cost governance frameworks aim to restore financial.
