Posts tagged as “Ken Gavrity”

Middle-Market Companies Turn to AI to Outpace Larger Rivals

By Deborah Yao on May 13, 2026

Key Commercial Bank President Ken Gavrity said companies tapped technology to offset economic shocks and build adaptability.

Global BDO Digital Leader: How Does AI Actually Make Money for Business?
Global BDO Digital Leader: How Does AI Actually Make Money for Business?
By Deborah Yao
Ric Opal says companies are too focused on productivity gains, which can obscure more direct ways AI can drive revenue and profits.
UST Evolve’s GM: AI Complicates Digital Transformation Efforts
UST Evolve’s GM: AI Complicates Digital Transformation Efforts
By Deborah Yao
Eric Pilkington said most organizations are still in the midst of digital transformation efforts from years past. AI complicates things.
AI’s Language Gap: Why a Hong Kong Firm Is Building Models Big Tech Won’t
AI’s Language Gap: Why a Hong Kong Firm Is Building Models Big Tech Won’t
By Deborah Yao
Votee AI developed what it says is the world's first open-source Cantonese LLM - with a corresponding benchmark.
Law Firms Enter AI Era as Automation Reshapes Legal Work
Law Firms Enter AI Era as Automation Reshapes Legal Work
By Melissa Winblood
As AI moves from experiment to infrastructure, law firms face a shift in how work is done, priced and valued.

A Novel AI Model That Makes Instant, Expert-level Decisions Without Heavy Computation
By Josiah Kiok on April 23, 2026
It is 100x faster than other agents and performs at nearly a human expert level - while minimizing costs.
Agents of Chaos: A New Category of Enterprise AI Risk
By Natalie Shapira, Chris Wendler, Avery Yen and others on April 2, 2026
Researchers from some of the world's best universities believe AI agents are not ready to be deployed in the real world.
The Often Missing Skill in the AI Boom
By Deborah Yao on March 20, 2026
Metacognition is key to enhancing employee creativity, which leads to long-term competitive advantage.
AI in Team Dynamics: Who Gets Replaced and Why?
By Xienan Cheng, Pinar Yildirim and Mustafa Dogan on February 18, 2026
A paper by researchers from Peking University, the Wharton School and the University of East Anglia (U.K.)