When financial tech vendor FIS announced its new AI agent for detecting financial crimes on Tuesday, it made much of its embedding of a team of forward deployed engineers (FDEs) from Anthropic to make it happen. It’s just one of the dozen or so companies working with Anthropic on developing agents for financial services using…
Agentic AI represents the next phase of marketing performance, enabling organizations to connect insights, decisions, and execution across the customer experience. As customer journeys become more complex and expectations rise, enterprises need systems that can operate across data, content, and workflows in a coordinated way. Generative AI has dramatically sped up how marketing teams produce…
I’ve sat in enough risk meetings to know the sound a bad surprise makes before anyone names it. It usually starts with a pause. Then a throat gets cleared. Then someone says, “We may need to bring the CISO into this.” That happened over a developer tool. Not a breach. Not a regulator. Not ransomware…
Most AI project failures I have seen do not announce themselves cleanly. There is rarely a moment where someone stands up and admits to making the wrong call. Instead, the project quietly underdelivers. The team makes constant adjustments; leadership loses confidence and eventually the whole thing is filed away under “we tried AI and it…
OpenAI and Anthropic are expanding their reach into professional services through joint ventures and acquisition talks, moving model providers closer to implementation roles traditionally held by systems integrators. Joint ventures tied to the two AI companies have held talks to acquire services companies that help businesses deploy AI, with OpenAI’s venture in advanced stages on…
On a holiday weekend, when most of a company is offline, a critical system fails. An AI-driven workflow stalls, or worse, produces flawed decisions at scale that misprice products or expose sensitive data. In that moment, organizational theory disappears and the question of who’s responsible is immediately raised. As AI moves from experimentation into production,…
As organizations rebrand themselves as AI companies, most of the conversation is focused on knowledge workers rather than the people in retail, manufacturing, and healthcare who can benefit from AI just as much. Prakash Kota, CIO of UKG, one of the largest HR tech platforms in the market, which delivers a workforce operating platform utilized…
The next time someone on your team says, ‘hire an AI engineer,’ stop the conversation. That title is too vague because it fails to account for critical differences in engineering strengths. Instead, companies need to decide specifically what they need. Is it someone to rapidly prototype AI solutions? Or someone to build the solution that…
Technology is evolving faster than the language we use to describe it. As a result, people are often talking past each other about what software, AI and automation are. These are treated as single categories when in reality they contain several fundamentally different disciplines and economic models. And when reality changes faster than our language,…
윤성호 마키나락스 대표는 6일 열린 기자간담회에서 “피지컬 AI 시대는 이미 시작됐지만, 가장 먼저 현실화되는 곳은 휴머노이드가 아니라 제조 산업 현장과 전투 현장”이라며 “산업 현장은 일반적인 클라우드 환경과 달리 정밀도·신뢰성·보안에 대한 요구 수준이 높아 범용 AI만으로는 대응에 한계가 있다”고 말했다. 마키나락스는 산업 현장에서 AI 도입이 어려운 핵심 이유로 폐쇄망 환경과 현장 데이터 문제를 꼽았다. 제조 공장과…