AI enables organizations to transform their operations, enhance responsiveness, resilience and facilitate customer experience. While the decision to adopt AI is straightforward, organizations are faced with a “build, buy, partner” decision – build it themselves, buy and integrate technology, or partner with another organization to co-develop it together.

This article discusses some of the key management considerations involved in making a decision.

Eighty percent of AI projects fail. One of the reasons is the lack of data to train the AI model. Many enterprises underestimate getting the right data from the right places they need to support AI-enabled systems and operations. Without this foundation, AI initiatives stall, underdeliver, or fail to scale.

This blog explores why data and connectivity are critical to enterprise AI success and outlines practical steps leaders should consider.

Generative AI for IoT provides significant value and transformational benefits for adopting businesses. However, generative AI is still an emerging and evolving technology, and its adoption brings a variety of challenges and risks to businesses considering its use.

This article provides business leaders with an overview and understanding of some of the key generative AI for IoT risks and possible mitigation approaches.