Will AI Ever Play in Peoria? The Enterprise Reality Check

The tech industry has a long history of overpromising and underdelivering, but AI has taken this to new heights. We're bombarded daily with headlines about AI writing novels, diagnosing diseases, and even replacing entire job functions. Yet, when you peel back the layers, you find a landscape littered with half-baked implementations, inflated claims, and solutions that work only in the most controlled environments.

What is Bharat and why should you care?

Knowledge should always be considered as accretive, not something that's "here today, gone tomorrow."

Truth, lies, and large language models

The good news is that the problem of chat AI's proclivity for hallucinating is well-recognized by the organizations creating these marvels, and they realize that it is a danger to the world and to their success, not necessarily in that order of priority. Until that problem is solved, chat AI engines need to lose their self-confidence and make it crystal clear that they are the most unabashed and charming liars the world has ever seen.

To hyperautomate or not to hyperautomate?

The logic behind hyperautomation is clear: Automate everything that can be automated. The practicalities of that are far less clear.

Can AI be ethical?

Without inherent bias in the data, AI would not make decisions. Bizarre though it may seem, AI is dependent on bias being present.

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.

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.

From just-in-time to just-ahead-of-time

Through our many decades of research into the knowledge sciences, we've determined that if AI is ever going to live up to its promises, it needs an architecture that integrates three levels of functionality: memory, awareness and anticipation.

Cognitive Computing: Balancing the risks with the rewards from AI

The fact is that the effects of AI and cognitive computing will be even broader than current traditional computing systems. As we incorporate more and more data sources for better results, we also increase the likelihood of affecting more lives and more organizations.

Automating cognitive tasks: fact or fiction?

There is a long-standing debate in philosophical, psychological and educational circles about how to understand and measure intelligence. Is intelligence actually a singular thing that can be pointed to and measured, for example, by an IQ test? Or are there multiple kinds of intelligence whose existence and behaviors only come to light when individuals confront specific kinds of context in life?

AI? Or cognitive computing?

Everyone is talking about AI. The past year has catapulted artificial intelligence into the public consciousness in dramatic fashion, utterly eclipsing the boomlet of inflated expectations that AI experienced in the 1980s.

Picked up from the podium

Two themes are top of mind at this stage of the new AI era: "Training data is the new ‘oil' for the AI economy," and "deep learning has left the labs and become mainstream.

What do we mean by a cognitive computing application?

But what is a cognitive computing application exactly? Would you know one if you saw one? And would you have a reasonably intelligent way to differentiate a cognitive application from the applications we are familiar with in this early cloud/big data period?

Anticipate a bumpy ride

When we think about how to understand the emerging dynamics of the markets for cognitive computing and what it's going to look like as products begin to come to market, what better place to look for a model than to the field of autonomous vehicles?

Cognitive computing
Big data and cognitive computing–Part 2

Cognitive computing's value proposition is grounded on the ability to offer contextualized insights to a human decision-maker.

The coming leap in human intelligence

Human-like robots are popping up everywhere. From the factory floor to product packaging and delivery. From restaurants to the battlefield. From patient care to camel racing. And countless other places.

Cognitive computing - AI: a once and future saga

Artificial intelligence (AI) is in the midst of a resurgence, after 20-plus years of hanging its head and seeking shelter in the darkest corners of the academy.

Four global shifts to keep in mind

Instead of worrying about how to keep machines from taking over the world, we should let technology evolve and look for ways to expand human intelligence.

Heard in the aisles