Columns

Perspective on Knowledge: Journalism’s new landscape

What's happening to news is a microcosm of what's happening to knowledge overall.

Bringing adult supervision to machine learning and AI

Human and machine knowledge governance has many moving parts. No governance means leaving things to chance. Too much governance means clogging up the system and slowing things down to a crawl. The trick is achieving the right balance based on your organization's size, goals, strategy, and risk profile.

How robotic is your process ?

To break out of the structured process world, RPA will need to address the full range of cognitive computing capabilities.

Ethical issues in AI and cognitive computing

Many innovations from the past needed the insight of entrepreneurs as well as technologists to change the world. That's also the case with machine learning and AI.

Perspective on knowledge: Bring back blogging

The case for internal blogging within a corporate environment is strong and the risk is far lower because the participants are vetted and known.

Flipping data science

No matter how much "intelligence" is programmed into a computer, it will very likely never understand the results it produces. Doing so takes human cognition, intuition, judgment, and other ways we humans make sense out of data.

Perspective on knowledge: Behind the scenes of Everyday Chaos

Machine learning builds up a model that connects data points in complex, multi-dimensional ways, usu­ally without yielding the sort of general principles we're accustomed to reason­ing from.

The convergence of convergence

The more systems and subsystems we attempt to stitch together, the greater the unpredictability.

Data and our future: too much of a good thing? Not enough? How will we know?

In today's AI-exploded world, analysts and business people loudly call for more data, complaining that cognitive computing and other AI applications need more raw material to build better models and more accurate predictions.

Perspective on knowledge: Rewriting the world

Tra­ditional computing upholds the traditional method of applying general rules to particulars. With machine learning, you skip the generalized abstraction and feed in the particulars.

The future of food: a fresh look

There's a growing demand for the ability to facilitate the integration of knowledge generated by widely diverse communities from multiple disciplines.

Usability testing for effective interactivity

Connecting the seeker to the information she seeks is not a new problem. Interaction design has been a stumbling block since the age of the card catalog.

Perspective on knowledge: Tools, senses, and machine learning

Machine learning sometimes extends our cognitive abilities in ways that are alien to our minds.

The future of education

Today, we find ourselves in a highly networked knowledge-based economy. This new world demands radically different learning approaches in alignment with complex behaviors of natural systems.

Coming soon to your newsfeed —Ethics and AI

People need to be sensitive to the many ways ethical judgments are being baked into the fabric of their AI projects.

Trends for the ’20s

Providing the right information to the right people at the right time can only be accomplished through greater openness.

Perspective on knowledge: Without a doubt

Given that the future is deeply uncertain, from the tiniest of decisions to the largest, we should love carefully calculated probabilities, for they are the way we deal with a world that has no interest in conforming to our projections or desires. They let us rationally prepare for things not going our way. Any strategist or planner worth her salt is getting as good a read as she can on the nature and magnitude of what she cannot predict.

Rebooting the information refinery

In the field of knowledge management, of course, the idea of turning data into information into knowledge has been a foundation concept for knowledge managers. But frankly, the ability to achieve this alchemy of data to knowledge has not been broadly demonstrated in practice. A next generation information refinery is required to make something meaningful and valuable out of the raw data flying around the firm and throughout the internet economy.

Crossing the epistemic divide

As the world races ahead, purely data-driven approaches will become less attractive. Instead, we need to start gaining a deeper understanding of how to bridge the great divide which separates the artificial and the natural.

AI: The issue is execution

By demonstrating on Jeopardy! that a machine could understand and analyze many fields of human knowledge and answer questions faster and more accurately than the reigning human experts, Watson's victory created an instant global brand.