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William Vorhies's Blog (297)

Automated Machine Learning for Professionals - Updated

Summary: As the Automated Machine Learning (AML) movement got underway a few years back there was an early branch between proprietary platforms and open source platforms.  In this article we’ll update you on leading open source AML tools.  Since they continue to require fluency in Python or R we label them “professional”.

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Added by William Vorhies on August 5, 2019 at 7:11am — No Comments

Calibrated Quantum Mesh – Better Than Deep Learning for Natural Language Search

Summary:  Move over RNN/LSTM, there’s a new algorithm called Calibrated Quantum Mesh that promises to bring new levels of accuracy to natural language search and without labeled training data.

 

There’s a brand new algorithm for natural language search (NLS) and natural language understanding (NLU) that not…

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Added by William Vorhies on July 29, 2019 at 8:02am — No Comments

Measuring Progress Toward AGI Is Hard

Summary:  Artificial General Intelligence (AGI) is still a ways off in the future but surprisingly there’s been very little conversation about how to measure if we’re getting close.  This article reviews a proposal to benchmark existing AIs against animal capabilities in an Animal-AI Olympics.  It’s a real thing and just now accepting entrants.

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Added by William Vorhies on July 22, 2019 at 7:33am — No Comments

Thinking about Moving Up to Automated Machine Learning (AML)

Summary: Are you wondering about moving up to Automated Machine Learning (AML)?  Here are some considerations to help guide you.

 

Are you wondering about moving up to Automated Machine…

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Added by William Vorhies on July 15, 2019 at 7:30am — No Comments

Privacy and AI - How Much Should We Really Care

Summary:  More data means better models but we may be crossing over a line into what the public can tolerate, both in the types of data collected and our use of it.  The public seems divided.  Targeted advertising is good but the increased invasion of privacy is bad.

 

Headlines are full of alarm.  The public is up in arms.  The internet is stealing their privacy.  Indeed, the Future of Humanity Institute at Oxford rates this as the most…

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Added by William Vorhies on July 8, 2019 at 7:30am — No Comments

Where’s the Love – Trends in Data Science Career Opportunities

Summary:  The annual Burtch Works salary survey tells us a lot about which industries are using the most data scientists and the difference between higher and lower skilled data scientists.  Salary increases show us whether demand is increasing, and finally we take a shot at determining which skills are most in demand.

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Added by William Vorhies on July 1, 2019 at 8:00am — No Comments

What Business Really Wants from AI – The Future of AI Platforms

Summary:  Business doesn’t want AI.  Business wants results.  While we were focused inward on our Advanced Analytic Platforms, smart competitors were rolling up AI/ML with other capabilities into “Intelligent Automation” platforms.  This large scale integration of capabilities of which AI/ML is only a part looks a lot like the development of ERPs in the late 90s.

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Added by William Vorhies on June 24, 2019 at 8:00am — 1 Comment

Automated Machine Learning (AML) Comes of Age - Almost

Summary:  Forrester has just released its “New Wave™: Automation-Focused Machine Learning Solutions, Q2 2019” report on leading stand-alone automated machine learning platforms.  This is our first good side-by-side comparison.  You might also want to consider some who were not included.

 

You know you’ve come…

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Added by William Vorhies on June 17, 2019 at 8:30am — 1 Comment

Big Ideas in AI for the Next 10 Years

Summary:  Despite our concerns about China taking the lead in AI, our own government efforts mostly through DARPA continue powerful leadership and funding to maintain our lead.  Here’s their plan to maintain that lead over the next decade. 

Think all those great ideas that have powered AI/ML for the…

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Added by William Vorhies on June 10, 2019 at 8:28am — No Comments

Neuromorphic Chips and the Future of Your Cell Phone

Summary:  The ability to train large scale CNNs directly on your cell phone without sending the data round trip to the cloud is the key to next gen AI applications like real time computer vision and safe self-driving cars.  Problem is our current GPU AI chips won’t get us there.  But neuromorphic chips look like they will.

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Added by William Vorhies on June 4, 2019 at 9:00am — No Comments

Real Time Computer Vision is Likely to be the Next Killer App but We’re Going to Need New Chips

Summary:  Real Time Computer Vision (RTCV) that requires processing video DNNs at the edge is likely to be the next killer app that powers a renewed love affair with our mobile devices.  The problem is that current GPUs won’t cut it and we have to wait once again for the hardware to catch up.

 

 The entire…

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Added by William Vorhies on May 27, 2019 at 8:47am — 1 Comment

Should You Be Recommending Deep Learning Solutions in Your Company?

Summary:  If you are guiding your company’s digital journey, to what extent should you be advising them to adopt deep learning AI methods versus traditional and mature machine learning techniques.

 

By now everyone is at least familiar with using AI/ML as a required cornerstone of company strategy.  Frequently…

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Added by William Vorhies on May 20, 2019 at 8:33am — 1 Comment

Where AI/ML Creates Value in Consumer Goods & Retail and Where It Needs Help

Summary: Especially in consumer goods and retail the value of AI/ML is only part of the story.  AI/ML will increasingly need to integrate with helper technologies to deliver maximum value.  Up your game in IoT, 5G, and robotics to ensure you’re giving your operating team all the best options for their investment.

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Added by William Vorhies on May 13, 2019 at 8:06am — No Comments

Where Do We Stand With GANs?

Summary:  GANs (Generative Adversarial Nets) originally thought to be a tool for inexpensively creating DNN training data have instead become the tools for creating deep fake images.  However the deep fake technology is now finding uses in the commercial world and promises valuable results.

 

Generative…

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Added by William Vorhies on May 6, 2019 at 7:57am — No Comments

What to Tell Your Board About AI/ML

Summary:  Communicating with your Board of Directors about AI/ML is different from conversations with top operating executive.  It’s increasingly likely your Board will want to know more and planning that communication in advance will make your presentation more successful.

 

As AI/ML becomes increasingly…

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Added by William Vorhies on April 29, 2019 at 9:35am — No Comments

Causality – The Next Most Important Thing in AI/ML

Summary:  Finally there are tools that let us transcend ‘correlation is not causation’ and identify true causal factors and their relative strengths in our models.  This is what prescriptive analytics was meant to be.

 

Just when I thought we’d figured it all out, something comes along to make…

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Added by William Vorhies on April 22, 2019 at 8:47am — 4 Comments

AI/ML Lessons for Creating a Platform Strategy – Part 2

Summary:  McKinsey says platform companies will represent 30% of global business revenue by next year (2020).  In Part 1 of this article we started to lay out some important lessons learned and examples for you to follow.  Here are the rest.

 

McKinsey says platform companies will represent 30% of global…

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Added by William Vorhies on April 15, 2019 at 7:43am — No Comments

AI/ML Lessons for Creating a Platform Strategy – Part 1

Summary:  McKinsey says platform companies will represent 30% of global business revenue by next year (2020).  Here are some lessons and examples to help mature companies evaluate where they can create AI/ML-enabled platforms to remain competitive.  This is a long topic so this will be Part 1 of 2.

 

As data…

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Added by William Vorhies on April 8, 2019 at 9:29am — No Comments

A Radical AI Strategy - Platformication

Summary:  A new business model strategy based around intermediary platforms powered by AI/ML is promising the most direct path to fastest growth, profitability, and competitive success.  Adopting this new approach requires a deep change in mindset and is quite different from just adopting AI/ML to optimize your current operations.

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Added by William Vorhies on April 1, 2019 at 9:29am — No Comments

Now that We’ve Got AI What do We do with It?

Summary:  Whether you’re a data scientist building an implementation case to present to executives or a non-data scientist leader trying to figure this out there’s a need for a much broader framework of strategic thinking around how to capture the value of AI/ML.

 

There are many articles written from a tools…

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Added by William Vorhies on March 25, 2019 at 8:30am — No Comments

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