As we look forward into 2017, intelligence augmentation (IA) will begin to take its rightful place alongside artificial intelligence (AI).
Here’s one of my talks about this. Summary below.
Please enjoy this interview broadcast today with me and Daniel G. Faggella of TechEmergence. I touch on intelligence augmentation (IA), machine learning in vision, text, and other domains, the emerging decision intelligence ecosystem, the limits of data, and how to hire a machine learning consultant.
Are we getting dumber? Or is stuff just harder?
Take this “invisible art” artist. She sold a few.*
Real decisions are made in the heart, the gut, based on a good story. So we’re vulnerable to master wizards: good story tellers. And, often, we’ll do what they say.
It’s impossible to assemble hundreds of graphs and data visualizations in our heads to make good decisions. It’s a fiction that we can. So we’re overwhelmed, take short-cuts, but it’s hard to admit.
The good news: we have new superpowers.
Conferences are for meetings. Project teams build deliverables. Data is for data scientists. Online communities are for social contact.
Until now, when a new mix is emerging. Can we solve difficult problems in a short-term conference setting? Is there a new way to run a workshop, which is dynamic, data-driven, visual, collaborative?
I wrote a few months back about the Silicon Valley Sim Center: an initiative to bring a new way to solve “wicked” problems to Silicon valley. And in an article in this month’s Wired called “Hey Silicon Valley, Buckminster Fuller has a lot to teach you“ by Sarah Fallon, she interviews Jonathon Keats about his new book on what Bucky has to say to Silicon Valley.*
And from “maker spaces” to “solver spaces”, a new way of working together to solve difficult problems is emerging.
You need the experience and world-class expertise of a team that has built thousands of machine learning and data management systems for dozens of clients. And you need to do it simply, controlling risk, and so that it maximizes your outcomes, be they revenues, minimized costs, wellness, sustainability, or more.
We invented the field of machine learning inductive transfer. Then we took machine learning into dozens of organizations over the years, implementing neural networks, decision trees, regression systems, and more, in areas like hazardous waste management, forensic hair analysis, computer vision, and DNA pattern recognition for the Human Genome Project, and budgeting, where our systems built the calculators for over $100M of US government spending.
We build and integrate machine learning systems, and we’re passionate about demystifying this technology and making it accessible so that machine learning can be used throughout your organization to drive competitive advantage.
It’s all about your business, and your bottom line.
We do things like connecting data between S3 and Mahout / EMR, running regressions in R / H2O, designing learning visualizations, designing success measurement code, finding the right number of hidden units in a neural network, and designing a machine learning solution to provide maximum value to your company, as soon as possible. We have a development and architecture team, can manage a team of analysts, train your staff, and can present to your executives.
But the details are less important than the business value they bring to you. We are known by our world-class clients to be fast, effective, and delightful to work with.
More and more organizations are realizing the tremendous benefit of machine learning to their bottom line, yet many are not ready to hire a full-time machine learning expert. So a machine learning contractor/consultant/freelancer makes sense. Continue reading
I can help. I’m a five-star rated machine learning engineer (see some testimonials below). I invented the fields of inductive transfer and decision intelligence. My CV is here. I write regularly about machine learning topics.
I build and integrate machine learning systems, and I’m passionate about demystifying this technology and making it accessible so that machine learning can be used throughout your organization to drive competitive advantage.
My work includes tasks like connecting data between S3 and Mahout / EMR, running regressions in R or H2O, designing learning visualizations, designing success measurement code, finding the right number of hidden units in a neural network, and designing a machine learning solution to provide maximum value to your company, as soon as possible. I am a coder, can manage a team of analysts, train your staff, and present to your executives.
Over the years, I’ve built thousands of machine learning systems: neural networks, decision trees, regression systems, and more, in areas like hazardous waste management, forensic hair analysis, computer vision, and DNA pattern recognition for the Human Genome Project.
I speak the language of business as well as “machine learning”-ese. I’ll work with you on a focused project to get your needs met, and we’ll do it in record time and with minimal impact to your people and systems.
Working with my team at Quantellia, we also go deeper into the data stack, providing data management, robust high-performance enterprise-grade survey systems, and our award-winning World Modeler™ software with data binding to many sources.
Like any maturing discipline, machine learning is splitting into specialties. And just as a surgeon uses a scalpel, and a general practitioner prefers a stethoscope, different tools are appropriate for different use cases within these subfields.
In the last few months, I’ve run projects that have used tools in at least five categories. Here’s a roundup: Continue reading
It’s critical that you understand machine learning, even if just a little bit. Why? Machine learning is at the heart of the most common artificial intelligence systems today. It’s an important new technology that’s moved beyond hype to the brink of an exponential explosion, at the core of a 320% growth in AI-based startups last year. And, in combination with decision intelligence, Machine Learning has the potential to solve some of the most important problems faced by humanity today.
So here’s what you need to know.