Perspective on Knowledge: The challenge of emergence
Traditionally, we humans have succeeded at building complex structures by breaking plans down into a multitude of simple, predictable, knowable causes and effects.
Boosting knowledge worker engagement through mentoring
If your employees aren't engaged, knowledge simply can't flow to the extent that's needed in order to compete in the global economy.
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.
Perspective on Knowledge: Journalism’s new landscape
What's happening to news is a microcosm of what's happening to knowledge overall.
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.
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.
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.
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.
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.
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.
Perspective on knowledge: Tools, senses, and machine learning
Machine learning sometimes extends our cognitive abilities in ways that are alien to our minds.
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.
Trends for the ’20s
Providing the right information to the right people at the right time can only be accomplished through greater openness.
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.