The IT department at Unum Group had a product management structure and worked in an agile delivery model. This operating model gave IT teams and the company wins by rapidly delivering what they call “investment capabilities” that were aligned to the business. But Shelia Anderson, who became executive vice president and chief information and digital…
Boris Cherny, creator of Anthropic’s Claude Code, says he hasn’t written a line of code by hand in months. He shipped 22 pull requests one day, 27 the next, all AI-generated. Company-wide, Anthropic reports that 70 to 90% of its code is now written by AI. CEO Dario Amodei has predicted that AI could handle…
CIOs of B2B SaaS companies are just as responsible to represent technology as they are to run it. In an environment where the buyer is often another CIO, however, the role becomes something fundamentally different. It’s no longer confined to internal execution. It extends into the market, customer conversations, and the moments that ultimately shape…
Every CIO I talk to — and I talk to a lot of them — agrees that skills-first hiring makes sense. And with AI now embedded in nearly every stage of the hiring process, from resume screening to candidate matching, many assume the technology will finally make it happen at scale. It won’t. AI can…
AI가 인간이 한 달 동안 작성할 코드를 몇 분 만에 만들어준다면 마다할 사람이 있을까. 마법 같은 기술을 싫어할 이유가 있을까. 바이브 코딩을 둘러싼 기대는 등장 초기부터 개발자와 비즈니스 사용자 모두에게 이런 가능성을 제시해왔다. 그리고 이제 그 기대가 현실이 될 만큼 기술이 성숙했다는 평가가 나온다. 물론 신중한 리더들이 “숨겨진 함정은 없는가? 혹시 위험한 기술은 아닌가?”라고 의문을…
IDC에 따르면 지난해 말 기준 2,800만 개 이상의 AI 에이전트가 배포됐으며, 2029년에는 10억 개 이상이 실제 운영 환경에서 활용되면서 하루 2,170억 건의 작업을 수행할 것으로 전망된다. 매출 46억 달러(약 6조 7,500억 원) 규모의 글로벌 신용평가 기업 트랜스유니온(TransUnion)의 최고 기술·데이터·분석 책임자 벤캇 아찬타는 “AI 에이전트 PoC(Proof of Concept)을 구축하는 것은 쉽다”라며 “하지만 이를 통제하고, 보안을 확보하며,…
AI 에이전트 도입의 장애 요인으로 지적돼 온 컨텍스트 부족 문제에 대해 스타트업 러브레이스가 해결 방안을 제시했다. 전 구글 클라우드 AI 책임자 출신이나 러브레이스의 공동 창업자 앤드루 무어는 해법으로 자사의 신규 플랫폼 ‘엘리멘탈(Elemental)’을 제시했다. 엘리멘탈은 지식 그래프를 구축하는 AI 기반 시스템으로, 경쟁 제품 대비 비용은 낮추고 속도와 정확성은 높였다고 무어는 설명했다. 또한 이 플랫폼은 대규모 언어…
AI is here, enabling tangible and real-world use cases. Boards are talking about it. Teams are experimenting & deploying it. Roadmaps are being rewritten around it. But there’s a hard truth most organizations are not always paying attention to: If your foundation isn’t secure, AI will amplify your risk, not just your capability. Much of…
Every enterprise AI initiative contains an architectural decision that rarely makes it into the business case or the steering committee deck. It doesn’t have a line item. It often gets made by a developer on a Tuesday afternoon based on whatever the default configuration was. And it determines, more than almost anything else, whether your…
In practice, that means setting the rules for identity, model access, permissions, logging and human approval before AI tools or agents are allowed to operate inside business workflows. The practical starting point is to identify where AI is already touching repositories, tickets, internal knowledge and business systems, then establish a minimum common control set across…