Articles by Hadley Reynolds
The twisted case of facial recognition
Machine translation continues to make strides forward. Facial recognition, on the other hand, has entered the twilight zone.
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.
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.
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.
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.
Cognitive Computing: Another look at cognitive tasks
To build a practical framework for understanding what kinds of capabilities will be the key success factors for the intelligence economy, we need first to look hard at what kinds of cognitive tasks or capabilities are going to come into play to enable the innovations we will need as we partner more closely with machines. Can we delegate cognitive processes to silicon colleagues? How will we make judgments about what we need to retain as human responsibilities versus what we can partially or fully automate?
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?
My teammate the bot—really?
Mind the gap
The problems AI systems address are gnarly, multifaceted and require true innovation.
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?
Framing the value for cognitive computing
We are articulating a framework designed to offer executives who are facing opportunities or challenges in the world of cognitive computing a systematic way to consider the key decision elements for a particular application goal.
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: What can self-driving cars teach about cognitive computing?
When the world learned this spring of the untimely death of a Tesla driver in Florida who crashed his vehicle into a semi-trailer while relying on the company's autopilot feature, a shudder went through the driverless car community. It should have gone through the cognitive computing community as well.
Cognitive computing and AI: allies or adversaries?
It is clear that accepting "cognitive" and AI as synonyms is too simplistic an approach for today's rapidly moving field. We have a very long way to go in both science and execution before the flip to a machine-driven society takes place.
Beyond the hype: cognitive computing and your business, your job, your life
While most enterprise firms are caught in the last decade's developments, a new competition at the level of cognitive is beginning in earnest.
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.
Cognitive computing: Big data and cognitive computing–Part 1
Cognitive computing offers a new approach to uncover the potential in data—and capture value whether the data is big or small.
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.
Need a digital assistant?
By amassing more information than any of us can individually, and then presenting it in an analytic environment with our problem as the lens, a cognitive app can encourage the intuition and creative imagination of the human expert. Cognitive computing augments the human capacity for taking in random information and combining it in novel ways within the context of a current problem....
Soul of a new machine?
Tracy Kidder's classic 1981 bestseller The Soul of a New Machine chronicles relentless work by teams of Data General engineers to design a next-generation mini-computer. How it all gets done isn't necessarily pretty and looks just like hard work, buffeted by personalities, morale, ambition, deadlines, compromises. But the machine became a leader in its field....
Cognitive computing: A definition and some thoughts
Computers are one of those artifacts of modern life that we love to hate. They are powerful, pervasive, intrusive and, let's face it, clumsy to use. Today's applications require us to break down complex, subtle ideas into simplistic statements. We must learn arcane codes to speak their language. They are incapable of assisting us in an evolving knowledge voyage because their understanding breaks down as our context or intentions change.
Cognitive computing: Beyond the hype
Cognitive computing should redefine the relationship between people and their digital environment. Context is the new element at the heart of this next computing frontier....
Enterprise 2.0 and Search
Serious Results from Light Tooling
In the last year, a groundswell of support has started to form
Building the Search Center of Excellence
Search is strategic; however, the strategic potential of search is not captured by the act of acquiring a powerful search platform alone. Pioneering firms are now developing a new kind of management approach to help deliver maximum value across multiple search-driven applications: the “search center of excellence.” It is a structured approach, utilizing a focused cross-functional team, and it is emerging as a practical tool to drive search innovation and deliver high quality online experiences.