惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

B
Blog RSS Feed
WordPress大学
WordPress大学
博客园_首页
罗磊的独立博客
D
Docker
N
Netflix TechBlog - Medium
博客园 - Franky
Hugging Face - Blog
Hugging Face - Blog
D
DataBreaches.Net
I
InfoQ
L
LangChain Blog
GbyAI
GbyAI
V
V2EX
博客园 - 聂微东
P
Proofpoint News Feed
博客园 - 【当耐特】
腾讯CDC
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
量子位
Martin Fowler
Martin Fowler
有赞技术团队
有赞技术团队
U
Unit 42
博客园 - 司徒正美
大猫的无限游戏
大猫的无限游戏

Inside Fashion Live!

Inside Sourcing | Sept 2026 When Your Systems Go Down, What’s Plan B? Why International Brands Keep Misreading Pakistan How Human Made Turned Scarcity Into Scale Topo helps Italian QA Leader Boost Visability India Finds Its Sourcing Edge Into The Wild: Activewear Hits the Trail Logistics | Sept 2026 Materials Price Outlook | Sept 2026 Smaller, Smarter, Closer to Market Inside Finance | Sept. 2026 September 2026 Dashboard | Sept 2026 From Static Documents to Dynamic Data Governance – Inside Fashion Live! A New Wave of Sustainable Swimwear Materials – Inside Fashion Live! China’s Tech-Powered Manufacturing Edge – Inside Fashion Live! Brands See No Easy Answer to EU Compliance Rules – Inside Fashion Live! Blockchain’s Growing Role in a Data-Driven Supply Chain – Inside Fashion Live! How Reformation Beat the DTC Odds – Inside Fashion Live! From Fan Wear to Fast Growing Lifestyle Category – Inside Fashion Live! Inside Sourcing | Aug. 2026 – Inside Fashion Live! Logistics | Aug. 2026 – Inside Fashion Live! Inside Finance | Aug. 2026 – Inside Fashion Live! Materials Price Outlook | Aug 2026 – Inside Fashion Live! Dashboard | Aug 2026 – Inside Fashion Live! Trade Events Calendar | Aug 2026 – Inside Fashion Live! Next Big Thing | Aug 2026 – Inside Fashion Live! August 2026 – Inside Fashion Live! Decoding the New Section 301 Tariff Rules – Inside Fashion Live! Section 301 Tariffs Amplify Geopolitical Risk – Inside Fashion Live!
Why Leadership Might Be Looking at AI Through the Wrong L...
admin · 2026-08-18 · via Inside Fashion Live!
Bud Batcharyya
Bud Bhattacharyya, co-founder of AI advisory firm Recompound

/ The greatest use of AI won’t come from doing work faster or cheaper. It will come from helping people solve problems better.

Artificial intelligence has quickly become synonymous with efficiency.

Organizations are racing to automate repetitive tasks, reduce costs, and improve productivity. Every new AI announcement seems to promise faster reports, quicker analysis, and leaner operations. But according to Bud Bhattacharyya, co-founder of AI advisory firm Recompound, this focus on efficiency is causing companies to overlook AI’s greatest opportunity.

To continue reading, please login