Machine Learning Enterprise Adoption Roadmap

Be it the core of their product, or just a component of the apps they use, every organization is adopting machine learning and AI at some level. Most organizations are adopting it an ad hoc fashion, but there are a number of considerations—with significant potential consequences for cost, timing, risk, and reward—that they really should consider together.

That’s why I developed the following framework for organizations planning to adopt machine learning or wanting to take their existing machine learning commitment to the next level.

machine learning adoption roadmap preview
click to enlarge

 

Define: Identify opportunities to adopt machine learning solutions in every part of your organization.

Does your organization have well-defined problems that can be solved using machine learning? Continue reading “Machine Learning Enterprise Adoption Roadmap”

Understanding Decisions Made By Machine Learning

blackboard
Photo by Roman Mager on Unsplash

What’s so important about interpretability in machine learning?

It’s a poorly kept secret that we lack insight into how complex machine learning models like neural networks make decisions. We see the data that goes in, the math that goes in, and the results that come out. But in the middle, where we want to see a chain of reasoning like a human could give us to explain decisions, there’s only a black box. Neither data scientists nor these complex machine learning models can provide insight into “why” a model chose output A rather than output B.

What does it matter whether we have an understandable explanation for why a machine learning model delivers a specific result? For example, when diagnosing whether or not a patient has cancer, isn’t it enough that the model is accurate, according to rigorous testing? I’ll look deeper into the implications of interpretability in future blog posts. But Continue reading “Understanding Decisions Made By Machine Learning”

Machine Learning / AI roundup for last week

optometrist
Photo by Markus Spiske on Unsplash

There’s  much new goodness on the interwebs since my last machine learning and artificial intelligence roundup post (only 2 weeks ago). This isn’t by any means comprehensive, but take a quick skim and see if there’s anything you missed that’s relevant to you.

Business Uses

Recruiting / Hiring / HR: Video: Predictive Analytics for Hiring in 5 Minutes (Koru co-founder Josh Jarrett presenting at New Tech Seattle, August 8, 2017) – I saw this one live. Josh is a good presenter and the promise of his product is intriguing.

Sales: 3 Ways AI Is Upending the B2B Sales Experience (Seismic CEO Doug Winter, Entrepreneur.com, August 14 2017) – Useful overview from an industry insider.

Healthcare: Google’s Machine Learning Looks to Improve Predictions in Health Care (Dan Ochwat, H&HN.com [Hospitals & Health Networks], August 8 2017)

Energy: Google enters race for nuclear fusion technology (Damian Carrington, The Guardian, July 25 2017) – This is the first time I heard the phrase “Optometrist Algorithm”—the machine learning makes suggestions to the humans, who choose Continue reading “Machine Learning / AI roundup for last week”

Scoping Questions for Starting or Expanding a Social Selling Program

apples
Photo by Raquel Martínez on Unsplash

 

“Social selling” is never a one-size-fits-all, turnkey proposition. Here’s a list of questions I put together for organizations who are thinking about creating or expanding a social selling program. By answering these questions—at least provisionally—an organization can create an action plan, line up people and tools, and start social selling at the scale that makes the most sense for them.

I. What’s Our Starting Point?

A. What results do we want to get?

1. Lead generation – new customers

2. Customer loyalty – current customer renewals, cross-selling

3. New/deeper relationships with Influencers – analysts, journalists, experts

4. Sales enablement – speeding up & amplifying sales rep effectiveness Continue reading “Scoping Questions for Starting or Expanding a Social Selling Program”

It’s An AI (and Machine Learning) Thing

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Photo by Andrew Branch on Unsplash

AI and Machine Learning in Business and Education

I decided to share some links to a few of my favorite (mostly recent) articles and videos about #AI, aka artificial intelligence, and #ML, aka machine learning, in a post here. If anyone wants to submit additions, feel free to contribute in the comments below.

Recent overview articles about AI / Machine Learning

The Business of Artificial Intelligence / What it can — and cannot — do for your organization (Erik Brynjolfsson & Andrew McAfee, Harvard Business Review, July 2017)

Building machines that learn and think like people (Josh Tenenbaum, O’Reilly Artificial Intelligence, June 28 2017)

Video: Three Ways Businesses Use Artificial Intelligence (Tom Davenport with Allison Ryder, MIT Sloan Management Review, July 24 2017)

Continue reading “It’s An AI (and Machine Learning) Thing”

A Blueprint for Executive Social Selling

Overview

In an ideal world, every company’s executive leadership would project an authentic thought-leadership presence in Twitter, LinkedIn, and other digital social channels. In reality this is too time-consuming for many executives, both because of the learning curve and because of the the daily effort required to curate and personalize high quality social content. The solution I recommend—based on a number of years coaching executives in social media, and my former role at a leading social selling solutions provider — is to minimize the time required for the executive without eliminating the authenticity of the executive’s social presence. This can be accomplished by outsourcing just the right amount of executives’ workload to the combination of trusted assistants and technology, as described in this post.

Such a program includes Continue reading “A Blueprint for Executive Social Selling”

When Are We Impulsively Brilliant?

Don’t we all wish we could be impulsively brilliant at everything we try?

In this post—which I published to LinkedIn this time—I mash up the wisdom of Gary V. and Stripe CEO Claire Hughes Johnson to briefly examine how we can find a balance between impulsivity and commitment in our professional and personal brands.

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Photo credit: Scott Umstattd
 

Please join me in considering how we (and our teams) can be intentional without dissipating excitement or blunting momentum and speed of execution.