Your employees are already using AI. Marketing is drafting content. Finance is analyzing reports. Operations is improving workflows. Customer service is experimenting with automated responses. Some of these tools were approved by IT. Others weren’t. Now leadership wants to accelerate AI adoption, reduce costs, and demonstrate results. But your technology team may not have a […]
Your AI pilot worked. The demonstration impressed leadership. The technology performed well in testing. Your team identified opportunities to save time and reduce manual work. Now, six months later, the initiative still hasn’t delivered the business impact everyone expected. The technology may be working. But the organization isn’t getting the result. AI pilots often struggle […]
Your team has been asked to automate more work, reduce costs, and show measurable results. The vendors all promise to help. But one is selling automation, another is selling AI, and a third is selling autonomous agents. How do you know which one your business actually needs? The demo goes well. The software reads an […]
Your organization is investing in AI. Your technology team is working to make it useful, leadership wants to see results, and someone suggests putting “AI-powered” at the center of your next product launch. It sounds like an obvious selling point. But what if calling attention to AI actually makes customers less likely to buy? Research […]
Your team tested an AI system, approved it, and put it into production. What happens when its behavior changes? AI models can demonstrate capabilities and behaviors that weren’t explicitly programmed—and those behaviors may not show up in the tests you ran before deployment. For technology and operations leaders, that creates a difficult responsibility: delivering the […]
Here is the article with the requested internal and external links added, keeping the exact wording intact as requested. Artificial Intelligence is no longer a future consideration for software companies. It’s a present-day competitive advantage. Yet many organizations find themselves asking the same question: Where should we actually apply AI to create meaningful business results? […]
When AI Goes Wrong: The Zillow Home-Flipping Disaster For years, Zillow was a trusted name in real estate, best known for its Zestimate—an AI-driven valuation model that provided home price estimates. Confident in its technology, Zillow took a bold leap into iBuying, an AI-powered home-flipping business, through its Zillow Offers program. The idea was simple: […]
