Perspective on knowledge: Approximately causal

Science will not give up on hypotheses. But it already is becoming more willing to accept results based on the sorts of statistical analyses performed by machine learning. And it may be thatwhen science does rely on theories and laws, we will recognize that no matter how ironclad they are as generalizations, their application to a world of confetti will always and necessarily render them approximate and probabilistic.

Enterprise of the future update: More disruption ahead

The concept of a phyle has experienced a resurgence, driven in part by the frustration people are feeling about being forced into making binary choices regarding the groups with which they want to be identified: public versus private, capitalist versus socialist, and liberal versus conservative.

What happens when AI meets a pandemic?

This is what we can see clearly after some months of reading, watching, and listening to the pronouncements on the novel coronavirus crisis from around the globe: Content challenges continue to dog AI.

The right time for knowledge management

A new generation is coming in—one that sees order in the chaos, spots previously invisible patterns, and not only embraces technology but grew up with it.

Cognitive computing and AI begin to grow together

How do we manage the hype and promise for new inventions while making sure that they represent a realistic opportunity? Can we invent self-driving cars or a Boeing 737 MAX without exposure to the risks these innovations can pose to our lives?

Deep project management

Given the increased negative media exposure that comes from project failure, organizations need more tightly integrated, intelligent project management systems, in addition to people who have the requisite skills. This need will grow as systems continue to become more complex and timelines more tightly compressed.

Talk a little, type a lot - Will conversational interfaces survive Siri and Alexa?

For the next generation of conversational computing, it is hard to avoid the conclusion that the only companies that have enough researchers, enough processing resources, enough motivation, and, above all, enough data to deliver the much- needed improvements are the consumer giants.

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.

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.

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.

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.

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.

The convergence of convergence

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

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.

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.

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.

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.

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.

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.