Summary: There is now sufficient experience among mid and large sized companies starting their AI journey to identify a single best practice for moving from AI experimentation to scale-up: the AI COE (Center of Excellence).
If you are a mid-sized business, government organization, or educational…Continue
Added by William Vorhies on December 2, 2020 at 3:18pm — No Comments
Summary: Let’s start by clarifying the difference between RPA (Robotic Process Automation) and IA (Intelligent Automation). Then we’ll show why AI/ML inside Intelligent Automation is the secret sauce that really makes this work.
Added by William Vorhies on November 18, 2020 at 9:00am — No Comments
Summary: Before starting to develop an AI strategy, make sure your team understands the limits of what is reasonable today, as well as incremental improvements that might be overlooked. Focus should be on your LOB leaders who understand the business. Make sure they are also able to recognize AI opportunities.
Added by William Vorhies on May 8, 2018 at 9:30am — No Comments
Summary: Advanced analytic platform developers, cloud providers, and the popular press are promoting the idea that everything we do in data science is AI. That may be good for messaging but it’s misleading to the folks who are asking us for AI solutions and makes our life all the more difficult.
Summary: There’s a three way technology race to bring faster, easier, cheaper, and smarter AI. High Performance Computing is available today but so are new commercial versions of actual Quantum computers and Neuromorphic Spiking Neural Nets. These two new entrants are going to revolutionize AI and deep learning starting now.Continue
Summary: You’d think that the internet was the core of the digital economy but it’s not. Data science is the core without which the digital economy wouldn’t exist and increasingly it’s AI that’s moving the needle in consumer engagement.
Added by William Vorhies on July 11, 2017 at 6:46am — No Comments
Summary: Just where are we in the Age of AI, where are we going, and what happens when we get there?
When things are changing fast, sometimes it’s necessary to take a step back and see where you are. It’s very easy to get caught up in the excitement over the details. The individual data science technologies that underlie AI are all moving forward on different paths at different speeds, but all of those speeds are fast. So before you change careers or…Continue
Summary: Whether you are a startup person or data science-minded executive in a larger organization what logic can you apply to spot the most compelling opportunities for AI in your organization.
Added by William Vorhies on March 12, 2017 at 9:00am — No Comments
Summary: Looking beyond today’s commercial applications of AI, where and how far will we progress toward an Artificial Intelligence with truly human-like reasoning and capability? This is about the pursuit of Artificial General Intelligence (AGI).
There is no question that we’re making a lot of progress in artificial intelligence (AI). So much so that we are rapidly approaching or have already arrived at a plateau in development where more effort is…Continue
Added by William Vorhies on February 21, 2017 at 8:30am — No Comments
Summary: For those of you traditional data scientist who are interested in AI but still haven’t given it a deep dive, here’s a high level overview of the data science technologies that combine into what the popular press calls artificial intelligence (AI).
Added by William Vorhies on February 7, 2017 at 7:02am — No Comments
Summary: AI and predictive analytics are now so prevalent in our day-to-day lives that it has raised the attention of the government, particularly about how certain groups might be adversely impacted. As data scientists we naturally want to have free reign to let the data speak as best it can, but as this report from the White House shows, we need to be prepared for some push back.
The last 10 years have been glorious days for data science and…Continue
Summary: This new study claims to be able to identify criminals based on their facial characteristics. Even if the data science is good has AI pushed too far into areas of societal taboos? This isn’t the first time data science has been restricted in favor of social goals, but this study may be a trip wire that starts a long and difficult discussion about the role of AI.
Has AI gone too far? This might seem like a nonsensical question to data…Continue
Added by William Vorhies on November 29, 2016 at 10:28am — No Comments
Summary: Watson is a remarkably flexible and complete AI development platform. To understand how you might build new services for your current employer or imagine your own Watson-based startup, look at these 30 companies that are leading the way.
In our recent reviews of…Continue
Added by William Vorhies on November 21, 2016 at 10:22am — No Comments
Summary: IBM’s Watson as it exists today is as close as we’ve come to a single integrated platform for AI. It contains all the capabilities for image and video, natural language speech and text input and output, and the most comprehensive knowledge recovery module yet combined together. If you want to exploit the advances we’ve made in AI you need to understand where Watson is today and where it’s heading.
Recently we wrote about how the…Continue
Added by William Vorhies on November 15, 2016 at 8:47am — No Comments
Summary: Next time you bring up Artificial Intelligence and your non-data scientist friends all say “Watson” here’s some perspective you can offer. Their understanding of AI and Watson is very likely to be inaccurate. Here’s what you need to know to set them straight.
When conversation with my non-data scientist friends turns to AI it’s almost inevitable that at least one will remark on the wonders of Watson. To many of the uninformed, Watson is…Continue
Added by William Vorhies on November 8, 2016 at 7:30am — No Comments