Enterprises Must Put Business Problems Ahead of AI Hype
Industry leaders point to talent, broken workflows, governance and weak problem definition as key barriers to turning AI experiments into lasting business value.
AIM · Sep 18, 2026
Industry leaders point to talent, broken workflows, governance and weak problem definition as key barriers to turning AI experiments into lasting business value.
AIM · Sep 18, 2026
Managers are not questioning whether AI can work. They are questioning whether it will work in their specific operational context.
Sachin Mohan · Apr 21, 2026
Protecting workers and protecting margins turns out to be the same thing, for some companies
Mukundan Sivaraj · Mar 5, 2026
Enterprise AI projects fail, not from lack of ambition, but from forcing large language models into workflows they were never designed for.
Akash Sureka · Feb 26, 2026
Concourse’s Matthieu Hafemeister says proof-of-concept rollouts in enterprise finance focus on ROI, traceability, and control
Mukundan Sivaraj · Feb 13, 2026
If you're not uncomfortable, how are you going to create something extraordinary?
Shruti Lohar · Feb 10, 2026
Why the consultancy is focusing on execution, not tools
Mukundan Sivaraj · Feb 2, 2026
“In AI,” Gulwani says, “creativity comes from how we ask questions. Responsibility comes from knowing when to question the answers.”
Anshika Mathews · Jan 21, 2026
A look at how Walmart is connecting stores, supply chains, and customers through a single AI layer
Mukundan Sivaraj · Jan 14, 2026
For the first time, data is being treated as a true strategic asset, and AI has finally crossed from experimentation into real transformation.
Anshika Mathews · Dec 9, 2025
People tracked everything, but the why was missing.
Anshika Mathews · Dec 5, 2025
"They overhired in the COVID era when they didn't actually need to, the results of that are being seen now"
Sachin Mohan · Dec 5, 2025
Murf argues that infrastructure reliability, not model commoditization, will determine who wins voice AI inside global enterprises
Mukundan Sivaraj · Dec 5, 2025
Whippy’s CEO explains why AI agents alone won’t be enough to survive the next wave of automation
Mukundan Sivaraj · Nov 18, 2025
AirOps frames its mission in direct terms: to help teams become “first to know and first to grow.”
Anshika Mathews · Nov 17, 2025
Pyq wants to automate the repetitive, document-heavy tasks that define modern commercial insurance with Mulligan
Mukundan Sivaraj · Nov 12, 2025
Healthcare and insurance run on endless data, dense workflows, and strict rules. Autonomize AI helps teams cut through the noise.
AIM · Nov 11, 2025
Accenture and IgniteTech pushes workers to master AI, firing those who can't keep up.
AIM · Nov 9, 2025
Product Head Tushar Katarki talks giving enterprises true ownership over data and cost
Mukundan Sivaraj · Oct 25, 2025
SVP of Product David Williams discusses how AI, orchestration, and consumption pricing are reshaping enterprise reliability
Mukundan Sivaraj · Oct 22, 2025
Gopal Renganathan shares how he applies an entrepreneurial mindset to enterprise AI, treating data like a product and governance like a velocity enabler.
AIM Media House · Oct 22, 2025
Efficiency gains today may come at the price of shrinking room to maneuver outside Salesforce’s ecosystem
AIM · Oct 2, 2025
Gemini 2.5 Flash Image sets a new standard, but can Google deliver this time?
AIM · Sep 28, 2025
“Our agents run inside the customer’s environment, giving them full control and oversight of the AI processes in real-time”
AIM · Sep 22, 2025
Founders call it passion, economists call it inefficient, and doctors call it a health risk
AIM · Sep 18, 2025
“Agentic AI isn’t just automating tasks, it’s combining automation with human oversight"
AIM · Sep 17, 2025
Customers asked for more, but sometimes the smart move is to say no
AIM · Sep 3, 2025
CEO Howie Liu is reorganizing teams, rewriting roles, and gambling on speed to outpace rivals
AIM · Sep 2, 2025
The playbook: gut R&D, outsource staff, and call it transformation
AIM · Aug 21, 2025
OpenAI and the hyperscalers will survive, most AI startups won’t
AIM · Aug 19, 2025
Meta’s fourth AI reorganization in six months raises real questions
AIM · Aug 17, 2025
Robots fail not for lack of AI but because terabytes of ungoverned data swamp teams—RobotOps, observability, and replay fix it.
AIM Media House · Aug 10, 2025
We want Clark to be the default starting point for internal software development in the enterprise.
Anshika Mathews · Aug 7, 2025
“There's an almost unlimited ceiling on quality"
AIM · Jul 27, 2025