There is always a lot that we can learn from successful technology and software developments. There is also a lot we can learn, unfortunately, from technology and software development “failures”. In analyzing over twenty well documented and publicized failures, one fundamental issue came through loud and clear. A major mismatch between the enterprise data representations and processes, and the vendor’s data representations and processes. There is a pretty straightforward way to address this situation.

Yes, anything you say to AI can be used against you, including things that you thought were deleted. Yes, hitting the delete button or key really does not do anything. Let me translate. Public facing AI and associated models are “dangerous”. EAI – (Enterprise Augmented Information) – AI within the boundary of your Enterprise is the answer. Please listen. And we can help.

What is the oil that makes the artificial intelligence world run? Data. Data infrastructure is the key to moving away from guessing to true usefulness. Data infrastructure is made up of two parts – the actual technology, and the data itself. Billions are being spent on the technological side. The data itself is being starved. Why? Because it is hard. We will describe the five transformations needed to make data AI ready.