Category Archives: Technologies

Pulling Back the Curtain on #MachineLearning Apps in #Business

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.

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Artificial intelligence and human limits

Are we getting dumber?  Or is stuff just harder?

Both are true.  Between-silo problems are the new bottleneck.  We’re inundated with information, so we take cognitive short cuts.   And “wicked” problems keep getting wickeder.

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.

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From maker space to solver space

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.

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Decision intelligence for data center disaster planning

Much of the world’s information is handled in data centers: nondescript on the outside, indoors you’ll find a din of humming machine in acres of racks.  If an earthquake or other natural disaster should strike a data center, the cost can be enormous.

So spending money on risk mitigation strategies like earthquake-proofing makes sense.

But it’s a tricky balancing act: spend too much for a disaster that never happens, and it’s money down the drain.  Spend too littledatacenter, and a disaster can spell tremendous costs.

A decision model can help.  We built a demonstration of one shown in the video above, at the link here, and in the bottom of this article, for those viewing this online.

Give it a try, it takes about one minute: Continue reading

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Guest post: The convergence of behavioral economics and big data

What does cold dead fish have to do with random forests? If you were to open a restaurant that served cold dead fish, you would not stay open for very long. However, if you used the concept of framing and instead sold a delicacy called Sushi, you would have much better chance of staying in business. Framing is a concept in the emerging field of behavioral economics that attempts to understand how people make decisions as well as how to influence those decisions. Other examples include the use of a default preference in order to encourage more people to become organ donors and rearranging the layout of food in a school cafeteria to get kids to eat more healthy fruits and vegetables. Continue reading

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Machine Learning Services and Solutions

Cable Operators (MSOs) Computer Vision Deep Learning Environment Government Inductive transfer Machine Learning Telecommunications

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.

If this is you, then drop us a line, and let’s talk.

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Qualifications

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 are a five-star rated team, pushing the boundaries of machine learning into the new field of decision intelligence, which we invented.

What we can do for you

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.

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The World Resources Sim Center: on its way to Silicon Valley

Last month I received an intriguing email inviting me to an event at Kimberly Wiefling’s house.  I’d met Kimberly before through Jonathan Trent, as part of the work I’ve been doing to help out the Omega Global Initiative.  I knew she was an international consultant, but it was great to also learn that she was passionate about systems thinking and visualization.  Jonathan and I drove up to Kimberly’s house together, where she and  Peter Meisen explained their initiative to bring a Buckminster Fuller-inspired Sim Center, based on a similar center in San Diego, to Silicon Valley.

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Machine Learning Services and Solutions

Cable Operators (MSOs) Computer Vision Deep Learning Environment Government Inductive transfer Machine Learning Telecommunications
L.Y. Pratt
Machine learning consulting: deep learning, decision intelligence, recommender systems, predictive analytics, market data analysis, and more.
UNITED STATES | MOUNTAIN VIEW, CA
I will help you to understand how your data stack and machine learning can drive value for your organization, and how to supercharge your investment in these technologies to create business value.
Did you know that 10% of your data contains 90% of the value?  This means that most organizations are leaving money on the table: they could get to value from their data stack ten times faster.
Don’t wait to design an application that uses your data until all the data is cleansed, migrated, and processed. Because designing an initial model or baseline machine learning system can provide critical cost- ad time-saving intelligence.

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.

Drop me a line and let's talk!

What I can do for you

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.

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Decision modeling to understand energy transformation decisions

Many companies are facing the prospect of steep increases in the cost of energy in the coming years.  In response, many are looking at alternative energy sources. However, navigating the transition to this new world contains hidden dangers, so an evidence-based modeling approach can make a big difference.  This article looks at this decision-making process through the lens of US cable operators, to understand the specific decisions they face.
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