Leaders today are challenged by the rapidly increasing complexity of their world. Many grasp the power of AI to transform how value is created and delivered, but also see the risks of another new technology and feel a weight of responsibility to their mission, the people they serve and their overworked teams.
Why it matters: AI is transformational, and trying to keep up with its growing capabilities will make your head spin. But the relentless hype is a distraction. You don’t need to be a technology expert to lead your team through this transformation successfully. Instead, you need to anchor your strategy in the human wisdom that already drives your organization.
Read moreThere has been a lot of attention paid to the ethical application of AI technologies in society, and rightly so. Machines can only judge based on the way they’ve been trained, and there are too many examples where this has been done poorly to ignore. Guidelines, even regulatory laws, are an immediate necessity, and every company harnessing AI must vigilantly plan to protect against abusive applications of this powerful technology.
Read moreEarly in my career, a housemate told me about his adventures teaching a robot arm to build a tower of blocks using an AI framework for developing systems that exhibit intelligent behavior. Define a block. Define a tower of blocks. Find the block. Pick the block up. Place the block. Place another block, and so on to make a tower. Oh wait, the arm doesn't know about gravity so it tries to start at the top and work downward. Teach the arm about gravity. Oh, that is a glass table top, so learn to start there instead of crashing through to start on the ground. And so on.
Read moreUser experience and business must work together: UX firms need to show how experience is a performance measure on price/performance continuum.
Read moreArtificial intelligence can be a benefit to your business, but only if you are asking the right questions before you start.
Read moreWebsites are places made of information, and architecting information is harder to do than it seems on the surface. How do information architects do it?
Read more
