Enterprise Ai
12 articles
AI Agents: The Reality of Business Transformation in 2026
Only 25% of AI initiatives currently deliver their expected return on investment, a stark figure that challenges the widespread enthusiasm for autonomous AI agents transforming enterprise functions.
KPMG earns AI management system certification
KPMG, already ISO 42001 certified for AI management systems, is deploying Microsoft 365 Copilot to over 276,000 professionals.
95% of Enterprise AI Pilots Fail to Scale: Understanding the Challenges
Only 5% of generative AI pilots successfully scale to full production, a stark reality behind the industry's AI hype, according to Thinkdigitalpartners .
Most AI Pilots Never Become Enterprise-Wide Solutions.
Organizations expect to move 76% of their agentic workflows from proof-of-concept into production this year.
Anthropic leads U.S. businesses in AI adoption over ChatGPT
Anthropic's Claude quietly quadrupled its business adoption in the past year, now powering 34.
Meta Launches AI Agent for Business Automation on its Platforms
While Meta launched a new AI agent designed to automate business operations across its vast ecosystem, enterprise AI veteran C3.
What are AI Governance Frameworks for Large Enterprises?
In the latter half of 2024, a 202% surge in phishing emails was recorded, with 82.
How Enterprise AI Adoption Strategies Scale Initiatives in 2026
On average, $1.3 million has been spent on AI initiatives to date, according to ISG-one . This substantial capital allocation confirms a widespread organizational commitment to artificial intelligence
US Firms' Shallow AI Embrace Masks Deeper Integration Challenges
Nearly half of all enterprise artificial intelligence projects are scrapped between the proof-of-concept stage and production.
What Is Enterprise AI Adoption and How Can Corporations Scale It?
In 2025, enterprise artificial intelligence (AI) use cases reaching full production doubled from the previous year, with 31% now live.
IBM, Meta Vie for Enterprise AI Dominance
IBM's Z mainframe platform, a legacy technology, saw a surprising 48% year-on-year increase in Q1 CY2026, signaling a broader resurgence driven by enterprise AI, according to AI.
What are enterprise AI data gaps and why do they cause project failure?
As many as four in five enterprise AI projects end in failure, often not because of the algorithms, but due to flawed data, according to LexisNexis .