Category Archives: Specific Domains

Senate Intelligence Briefing features AI and Decision Advantage

Today’s senate intelligence meeting is probably the most important two-hour video you should make time to watch this week, especially if you are interested in the intersection between AI, DI, and national security.  Also some important cautions about Internet of Things (IOT) security.

Some important quotes:

https://youtu.be/7OVVbrTP18g?t=38m41s

Admiral Mark Rogers: “Clearly I think we are not where need to be…the challenge I think is that we have [multiple areas of knowledge and insight within the federal government and within the private sector, how  do we bring this together and create and integrated team, with some real-time flow back and forth.”

Continue reading

Published by:

Has media reached a reality/complexity tipping point?

A landmark paper appeared last December in the National Science Review (summary).  It describes the complex interdependencies between climate, consumption, population, demographics, inequality, economic growth, migration, and more.  Written by an interdisciplinary team of 20 authors hailing from organizations worldwide including NASA, Johns Hopkins, and more, the paper explains that it is impossible to understand these systems in isolation.  There are important—and non-obvious—interactions.  Poverty impacts climate.   Inequity impacts the status of women.   Conflict impacts resource usage.  And much more.

The bottom line: our understanding of the world is no longer good enough.  We need to raise our game.

Continue reading

Published by:

Death by proxy

“This year, our priority is customer experience.  Everything we do must connect to that.”

“We’ll upgrade the network in a neighborhood when the bandwidth utilization exceeds 80%.”

“I’m going to get rich, then I’ll be happy.”

Good ideas, on the surface.  Problem is: they’re often wrong.

And they share a common thought pattern: the use of a proxy—a substitute—for what we actually care about.

Continue reading

Published by:

One link think

In the swirl of events, I’m often left wondering if there’s something deeper going on.  Our leaders seem to be increasingly missing the bigger picture.  A glimpse, here and there, into the underlying cause of dead ends we’ve reached: problems with capitalism, the media, politics, climate, conflict, health care.   Is there a common cause?

2016 might arguably be characterized as the year we all decided we’d had enough of government as usual.  Between Brexit, the Trump ascendancy, and the sheer energy behind the Bernie Sanders campaign, it seems that many are thinking, “enough is enough”.  And that’s the good news.  When disenfranchised groups have zero representation, then terrorism and revolt seem to be the inevitable outcomes.

Continue reading

Published by:

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.

Continue reading

Published by:

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.

Continue reading

Published by:

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

Published by:

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.

logo-banner3

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.

Published by: