From Promise to Progress: Closing the Gap in Enterprise AI with Process Intelligence

In the rush to embrace artificial intelligence (AI), enterprises across industries have encountered a harsh reality: transformation takes more than technology. Two years ago, generative AI captured the imagination of business and technology leaders alike, promising to revolutionize operations and decision-making. Yet today, many organizations find themselves with pilot projects that are failing to scale, and AI investments that are falling short of expectations.

New Report Shows Disconnect Between Business Investments in AI and Lack of Successful Execution 

Qlik, a global leader in data integration, data quality, analytics, and artificial intelligence, announced the findings of a new study conducted with Enterprise Strategy Group (ESG) that reveals businesses are moving aggressively to scale AI, but many lack a structured plan to build the data foundations necessary for long-term success.

2025: The Year of Breakthrough AI? Tech Leaders Predict the Next Stages of Enterprise AI

AI's influence is being felt everywhere, from chatbots that help people shop online to talk of autonomous drones or other Internet of Things devices that can act independently. 2025 shows no signs of slowing what organizations may want to tap into or create AI solutions for.

The AI Revolution: Bridging the Gap Between Potential and Readiness in the Data-Driven Era

AI talent is in high demand; AI reveals brain oscillations for memory and disease; AI may allow us to talk to whales; AI can help plan meals and other tasks; an AI platform for dentistry just raised $53 million. That was the tip of the AI news iceberg—in one day.