Steven Rosenbush
Bureau Chief, WSJ Pro Enterprise Technology at The Wall Street Journal
Enterprise Tech Editor, WSJ Pro. @CIOJournal @WSJCyber @WSJProAI
Articles
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1 week ago |
buff.ly | Steven Rosenbush
由于未能足够快地抓住互联网、社交媒体、智能手机和电子商务的机遇而付出沉重代价，如今面对人工智能(AI)的崛起，许多企业已争先恐后地投身其中。当然，围绕AI的许多潜在变革性应用仍处于假设阶段。研究人员仍在评估推理模型的优势和重大局限性。网络安全专业人士特别指出了将AI与公司内部数据相连接的风险。而监管机构、立法者和倡导者则希望制定规则，从整体上保护人类免受失控AI的侵害。Copyright ©2025 Dow Jones & Company, Inc. All Rights Reserved. 87990cbe856818d5eddac44c7b1cdeb8
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1 week ago |
livemint.com | Steven Rosenbush
Summary After largely failing to grasp the internet, social media, smartphones and e-commerce quickly enough to avoid significant pain, many businesses have already gotten onboard with AI. This is a Mint Premium article gifted to you. Subscribe to enjoy similar stories. Big businesses are diving into AI to try to avoid being disrupted by the technology.
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1 week ago |
wsj.com | Steven Rosenbush
After largely failing to grasp the internet, social media, smartphones and e-commerce quickly enough to avoid significant pain, many businesses have already gotten onboard with AI. Many potentially transformative applications of artificial intelligence remain hypothetical, of course. Researchers are still assessing the strengths and significant limits of reasoning models. Cybersecuritymck professionals emphasize the risk of connecting AI with private company data.
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1 week ago |
flipboard.com | Steven Rosenbush
7 hours agoSEO is dead, and now there’s a race underway for authentic thought leadership. Here’s what that means for you. We’re about to learn a lot more about businesses and businesspeople than we ever wanted to now that SEO is dead. Because they’re all going to be clamoring for our attention. In a world where …
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1 week ago |
jp.wsj.com | Steven Rosenbush
米半導体大手エヌビディアは、かつてない高解像度で地球全体の気候シミュレーションができるという生成AI（人工知能）の新たな基盤モデルを発表した。問題は、強力な新技術がたいていそうであるように、その技術を使って人間が何をするかだ。 同社は気候研究者が5キロメートル圏に焦点を合わせた気候予測を行うことを期待している。これまでの最先端の地球規模気候モデルの解像度は25～100キロ以上だった。Copyright ©2025 Dow Jones & Company, Inc. All Rights Reserved. 87990cbe856818d5eddac44c7b1cdeb8
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From '50 First Dates' to 'Cheers': The acquisition of memory brings growing context, awareness and relevance to AI agents, even as such personalization ramps up the need for data privacy, security and responsible use https://t.co/8fOlzsTWnc @WSJ @Techmeme @EvanKirstel
Looking for ways out of the productivity paradox, in which the full potential of AI capabilities aren’t realized, at least right away. It can take years to figure out how to harness new technologies, but AI is under particular pressure to deliver now. @Benioff @erikbryn
“Ryan Teeples, chief technology officer of 1-800Accountant, agrees that “breaking work into AI-enabled tasks and aligning them to KPIs not only drives measurable ROI, it also creates a better customer experience by surfacing critical information faster than a human ever could.
To avoid the productivity paradox @erikbryn advocates for a task-based analysis, in which a company is broken into fine-grained tasks or “atomic units of work” that are evaluated for potential AI assistance. As AI is applied, the results are measured against KPIs. @workhelix
Here's a terrific article by @Steve_Rosenbush in the @WSJ quoting me and others about how to address the gap between AI's amazing capabilities and the frustration many businesses have in delivering value.
