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
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.
I’m a marketing guy. But in my consulting days and in various other roles I have both sold and trained people to sell. My most recent in-house role, director of product marketing, had a strong sales enablement component, including attending the daily sales stand up and delivering training, content, competitive intel, tools, and strategy to my sales team.
I was a little surprised to see a post in a respected tech publication just the other day about how unfathomable machine learning is, and how unknown its impact is going to be. Agreed, machine learning is still unfamiliar to many people, and its potential is enormous. But maybe I can help demystify it a little by sharing some of my own experience applying machine learning in a real life situation.
I really dug into machine learning a few years back working on a marketing campaign concerning the use of analytics during the discovery phase of lawsuits. I got hands-on by downloading the somewhat-famous Enron emails, which I popped into a MySQL database server, and did a little poking around in them using Tableau. But what really helped me understand the power of machine learning was studying emerging e-discovery technology, culminating in a conversation with data scientist and entrepreneur Nicolas Croce (see the interview here).
Before I share what I learned, first some background for those who aren’t already familiar with what the legal profession calls “discovery”. Discovery is the process by which lawyers are permitted to obtain evidence, including documents and electronic records, from their opponents. This is permitted under civil and criminal law so that the lawyers for both sides can assemble evidence that courts need to make good decisions. In a major legal action discovery can involve literally millions of documents and equivalent types of records (images, emails, database entries, etc.). Both sides must review these documents to identify which are important and why.
Over the years I’ve discussed social media strategy with quite a few executives from large organizations. It’s no wonder so many approach social media with caution. They’re well aware of worst case scenarios, and as a byproduct, the majority of executives today still hesitate to play a highly visible personal role in social media, despite the best efforts of evangelists such as myself to drag them kicking and screaming into the 21st century.
Nonetheless, every major brand now recognizes the opportunity and necessity of engaging in social media conversations. And none that I know of are still relying exclusively on interns or just-out-of-school new hires to manage their programs. Projecting a brand presence into social media is a serious undertaking that requires communication skills, a certain amount of finesse, and common sense. This is where training and coaching come in, which is a topic for a future blog post, along with crisis preparation, which is the topic of a post I wrote that was published today in the Trapit blog.
As of the publication of this post, Pinterest has just caught up to Twitter in popularity. And as marketers find out about the amazing viral power of Pinterest and other image-centered social networks they are jumping on that train.
Pinterest can be regarded as an alternative to Facebook as a brand marketing vehicle. Many of the millions of people who use Pinterest may prefer it, and put more effort into it, than Facebook because it offers a vastly superior photo browsing and sharing experience than Facebook. And Pinterest boards require a fraction of the overhead needed to create and manage an in-house or Facebook photo gallery. Moreover, since Pinterest can display photos from their original locations around the web, it is the perfect place to collect “fan photos” and other visual content related to the brand in some way, even if it’s not owned by the brand. But instead of looking at Facebook and Pinterest as either/or, it’s better to acknowledge that far fewer people are using Pinterest, some people use both, influencers can be found on both, and each has brand marketing potential.
There have been days where several different people have asked me for help coming up with a Pinterest strategy. The businesses looking for help range from super-corporations I cross paths with professionally to entrepreneurs I meet in coffee shops. Most (not all) of these people admit they don’t really want to invest in yet another social media platform, they just feel they’re supposed to.