Assured Agile AI

Do you have questions about
Artificial Intelligence (AI) or Machine Learning (ML)?

Now that your organization is considering artificial intelligence (AI) as a value generator, you probably have a lot of questions. You might be wondering:

  1. How can I be sure my AI project is successful, on time, and under budget?
  2. What is the return on investment (ROI) on an AI project?
  3. What are the key risks in an AI project, and how can I manage them?
  4. What human resources do I need within my own organization to ensure that the AI project is successful?
  5. What about data? How can I make sure that my data is ready for AI? Is this the right time, or do I need to do something new to my data?

To answer your questions and more,
you need a trusted partner.

You need a company that has implemented many AI solutions, at a success rate that is high above the industry standard. You want to ensure that your AI solution will continue to generate ROI for your organization and increase its value for many years.

You need a clear understanding of what your AI project will cost, how long it will take, and the impact it will have on the people in your organization.

You may want to minimize the use of your busy teams and have a trusted partner take care of the entire AI lifecycle. Or you may want a trusted partner for only part of the lifecycle such as:

  • AI executive review: you think there’s value in AI but need guidance for how to get your company started.
  • AI project support: Eliminate your resourcing risk by using our teams to help build your AI system: just a component or an end-to-end solution.
  • Technical review: a few minutes from an experienced partner can save you months going down the wrong road. We know: we’ve been there!
  • AI project plan and risk analysis
  • Analyzing the expected ROI of the AI project.
  • Beyond AI to DI: what actions will change with your AI project, and how can you measure, manage, and maximize business outcomes?

Quantellia is your trusted source.

Led by the world-famous machine learning pioneer, Dr. Lorien Pratt, we will be your trusted partner as you explore and benefit from this important new technology. Our team has supported projects with hundred-million-dollar budgets, projects that mange work in dozens of countries, and has produced hundreds of millions of dollars of value for our clients. Our clients include trusted names like Cisco Systems, SAP, The Carter Center, Ericsson, The Royal Bank of Scotland, Charter Communications, and the US government.

Free consulting hour

For you to get to know us, we’re happy to provide a “free sample” hour of telephone consulting to answer any questions you may have about AI. Drop Jess Jaret a line to schedule a call.

What is Agile AI™?

The Agile AI™ methodology consists of best practices at multiple steps of the AI lifecycle.

Agile AI™ mitigates risks in many ways, including:

  • Checking ROI—and other goals and KPIs — at every step in the lifecycle.
  • Employing Decision Intelligence (DI) to connect the outcomes of the AI system to your organization’s goals, actions, and environment.
  • Explicitly assessing data maturity, objectives, and available human expertise.
  • Focusing proofs-of-concept (POCs) on the greatest risk to ROI—that the promise of the models in the lab will not be fulfilled in production.
  • Implementing a formal process to monitor ROI, quickly detect changes, and initiate appropriate actions.

Machine Learning

Machine Learning

The Quantellia team has been delivering machine learning solutions for our clients for over 30 years, including to the Human Genome Project, the Colorado Bureau of Investigation, the US Department of Energy, the Administrative Office of the US Courts, and dozens and dozens more.

We focus on practical solutions.  We take machine learning from data preparation to proofs of concept to production systems.

We provide a full offering of machine learning services:

  • Deep learning
  • Transfer learning
  • Decision trees
  • Regression
  • Natural language processing

Taking the risk out of machine learning

We de-risk machine learning by making it explainable. Our Analysis Wheel Viewer lets you drill down into the decisions that led the neural net to its conclusion. We also de-risk resourcing your machine learning projects.  We can assemble an experienced team in a week.

Over thirty years we’ve seen it all—the epic fails and how to avoid them—as well as techniques that prevent all the small time-consuming mistakes.  We can show you how to prepare your data for efficient learning and when to stop unnecessary data management. Our World Learner™ tools bring you machine learning automation and our Agile AI™ methodology provides best practices for every point in the machine learning project lifecycle.

We can teach you how to be successful on your machine learning project or provide a team to deliver your project to you.  We offer:

  • Courses and workshops to jumpstart your team: single-day workshops, week-long courses, and packages customized to your needs.
  • Consulting to help you find more effective solutions, avoid problems, and improve your machine learning project management.
  • Decision Intelligence to ensure that your machine learning project meets KPIs and delivers ROI.
  • Innovative algorithm development. Our chief scientist Dr. Lorien Pratt led the teams that developed transfer learning and decision intelligence.
  • Fully implemented machine learning solutions.

Agile AI

Do you have questions about
Artificial Intelligence (AI) or Machine Learning (ML)?

Now that your organization, like many startups, enterprises, and not for profits, is considering artificial intelligence (AI) as a value generator, you probably have a lot of questions, such as:

  1. How can I be sure my AI project is successful, on time, and under budget?
  2. What is the return on investment (ROI) on an AI project?
  3. What are the key risks in an AI project, and how can I manage them?
  4. What human resources do I need within my own organization to ensure that the AI project is successful?
  5. What about data? How can I make sure that my data is ready for AI? Is this the right time, or do I need to do something new to my data?

To answer your questions and more,
you need a trusted partner.

More than anything, you need a company that has implemented many AI solutions and has proven its ability to do so successfully. You also need a company that is looking towards the future and that is constantly innovating, to “future proof” your initiative. You want to ensure that your AI solution will continue to generate ROI for your organization and increase its value for many years.

You need a clear understanding of what your AI project will cost, how long it will take, and the impact it will have on the people in your organization.

You may want to minimize the use of your busy teams and have a trusted partner take care of the entire AI lifecycle. Or you may want a trusted partner for only part of the lifecycle such as:

  • Proving the ROI of the AI technology.
  • Or developing an AI assessment metric.
  • Or helping you build a reliable understanding of how AI will support your business processes and decisions.

Quantellia is your trusted source.

Led by the world famous machine learning pioneer, Dr. Lorien Pratt, we will be your trusted partner as you explore and benefit from this important new technology. Our team has built systems with hundred million dollar budgets, projects that mange work in dozens of countries, and has produced hundreds of millions of dollars of value for our clients. Our clients include trusted names like Cisco Systems, Transamerica, The Carter Center, Ericsson, Royal Bank of Scotland, Charter, and the US government.

We would like to meet with you
to discuss your AI needs

Our initial meeting(s) help you clarify what you want to accomplish, what AI technologies might be used, and determines the scope of work. This preliminary analysis provides valuable consulting whether or not you choose to work with us.

Next, we develop a fixed price proposal. 

Typically our proposals provide several options, allowing you purchase flexibility.

And then work with you to plan and implement
your Agile AI project.

Agile AI mitigates risks by:

  • Employing Decision Intelligence to ensure clarity about project goals (ROI and KPIs), choices (levers), and external factors.
  • Explicitly assessing data maturity, objectives, and available human expertise.
  • Focusing proofs of concept (POCs) on the greatest risk to ROI—that the promise of the models in the lab is not fulfilled in production. Each POC cycle is designed to eliminate one or more risks to production ROI.
  • Implementing a formal process to monitor ROI in the production system, quickly detect changes, and initiate appropriate actions.
  • Checking RO—and other goals and KPIs — at every step in the lifecycle.

Decision Intelligence (DI) solutions

We offer decision intelligence solutions to solve complex problems: from workshops to end-to-end projects.  DI is the future of AI: it adds an “action and outcome layer” to AI, which is otherwise limited to predictions, diagnosis, answers, and labeling.

  • DI can take your system that predicts which device is most likely to fail, to one that helps you choose the best action that achieves the best business outcomes.
  • DI can take your system that labels security intrusions to one that helps you choose which actions to take when that happens.
  • DI can take your system that sorts through images of a situation to find a problematic one, to a system that helps you determine the best course of action to fix it.

Simply put, data is backwards-facing. It’s like watching an elephant’s footprints, rather than understanding the elephant itself. Systems are forward-looking.  There is no coincidence in the fact that your rear-view mirror is smaller than your windshield. Yet most organizations look backwards, assuming future equals past. This is no longer true.

So let’s roll up our sleeves together, and take your organization to the next level.

It doesn’t have to be hard.

You still need your data.  It’s always going to be an important tool in validating where you’ve been, and of course, operational data (like a customer’s address) is critical.

But when it comes to making decisions, data is only part of the picture.  Once you make a decision and execute on it, this creates a cascade of events within your organization.  Understanding how the decision leads to an impact…and another…and another…until you’ve reached your objective (or not) may sound like a daunting proposition.  But here’s the rub: you’re doing it already, in your head, every time you think through the consequences of a decision.  Why not get some computer help with that?  Even a little can go a long way.  Because otherwise, you’re facing the fog shown in the picture above.

Here’s what you can expect when working with us to improve your organizational decision making.  Think of this as an “a la carte” menu; some organizations choose the whole bundle, some do one part at a time.  Each has value on its own.

  1. Decision intelligence (DI) training. We run half-day to full-week workshops on the core concepts behind decision intelligence.  Here is more about our workshops.
  2. Company-wide presentation, so everyone knows what we’re up to.  Here are some videos of Lorien Pratt’s public appearances, to give you a flavor of this.
  3. Decision-specific workshop.  We typically work with a multi-functional team.  We begin by aligning around desired business objectives, then proceed through decision specification, design (levers, links, external data, and more), and iterate. We work visually and collaboratively, and often the focus is understanding the links between previously silo’d groups, and modeling the “whack-a-mole” of unintended consequences.
  4. Data assessment.  Usually, only 20% of the data contains 80% of the business value. The challenge is to determine which data contains the value.  Decision intelligence provides a structured and rigorous approach to figuring this out.  If you don’t take this approach, you can waste a lot of time managing data using “operational” methods, where less expensive “analytical” approaches are a tremendously better fit.
  5. Decision visualization.  We usually build custom visualizations for our clients.  You can see a demo here (for program management), and another here.  We build these to your specifications, to meet the needs of your team.
  6. Data and systems integration.  Here, we work with your organization to integrate a real-time decision navigation infrastructure into your business.  Our value proposition: “the best of both worlds”: using our platform means that we can built solutions at low risk and lower cost and much more quickly than other companies (indeed, we once built a full bank risk analysis system in under six weeks).  At the same time, it’s fully customized to your needs, as if we’d built it from scratch. Why this is possible?  We’ve discovered what’s required in a general-purpose data and decision management framework, including optimization, data binding, visualization, simulation, and more.

Add-ons to the above  include:

  • Additional training:
    • Introduction to R
    • Introduction to neural networks in R
    • Introduction to machine learning in R
    • Building World Modeler custom visualizations
    • Deep-dive decision dependency design
  • Data services
    • Data modeling
    • Enterprise architecture integration
    • Data cleansing
    • Web-based interactive data survey / gathering creation
  • Custom model visualization development
  • ..and more

So let’s explore together whether supercharging your organization’s decision intelligence makes sense for you.

Please type your inquiry regarding decision intelligence below.