Archive for ML

Gilbane Advisor 1-30-18 — Molecular content, beyond bitcoin, ML data value, Facebook “platform”

Molecular content & the separation of concerns

The creation and management of content continues to increase in complexity as we need to design for nmachines in addition to n screens. Content Strategist Michael Andrews lays out why we need to move beyond, single sourcing and modular content.

Atom Design methodology by Brad Frost

Michael proposes an approach based on “molecular content” combined with the concept of the “separation of concerns”. A good read for anyone involved in content strategy. Read More

Beyond the Bitcoin bubble

As most of you know, the really interesting thing about Bitcoin is not the actual currency but the Blockchain architecture it is built on. And while we don’t cover financial technology, Blockchain is very much applicable to the information management technologies and applications we do focus on, for example in publishing or marketing. On a grander scale, a trustable distributed ledger of X that competes with or complements a trusted (or not) central authority of X has broad societal implications. One of these is the walled garden threat to the Open Web. And sure enough, there are serious efforts underway to build /rebuild a sustainable Open Web using Blockchain technology. Steven Johnson has written a non-technical article that provides an excellent explanation of what you need to know and why. Read More

Is your company’s data actually valuable in the AI era?

In the AI economy, the value of your accumulated data is limited to a one-time benefit from training your AI model. And the value of training data is, like oil or any other input, influenced by the overall supply — it’s less valuable when more people have it. In contrast, the value of your ongoing operational data is not limited to a one-time benefit, but rather provides a perpetual benefit for operating and further enhancing your prediction machine. Read More

Maybe Facebook should abandon the news feed altogether

Facebook has almost always wanted to be a platform, if not The Platform. Their recent shift away from news in their news feed back to mostly social interactions raises questions about their long-term future and what kind of platform they will be. John Battelle has an interesting suggestion. He admits it is a long shot, but his thoughts aren’t as crazy as he suggests his solution might sound…

What if Facebook *really* pivoted, and became a … truly neutral platform — an AWS for attention and identity, if you will. What if the company dedicated itself to a set of stable policies that encouraged other companies to tap into its social graph, its vast identity database, its remarkable engagement machinery? Read More

Also…

The Gilbane Advisor curates content for content, computing, and digital experience professionals. More or less twice a month except for August and December. See all issues

Gilbane Advisor 1-5-17 — Bots, Deep Learning, Mobile Marketing

Happy New year Dear Reader!

We have chosen a small number of the superabundance of end-of-year reviews and predictions to recommend, each focused on rapidly developing areas that are important for you to keep up with, even if at a high level. Topics include bots, deep learning, mobile, marketing technology, software development, and design.

Bot Check-In: A Year of Disappointment

Sam Lessin sums it up and explains.

Despite lots of PR, neither Facebook, Amazon or Google-developed bot platforms this year made it easy for developers to work with. Narrowly focused services can thrive in the near-term but mass-market bots have a way to go. Read More

Deep Learning 2016: The Year in Review

Jan Bussieck provides a really useful, not-too-technical, recap and look forward.

The many revolutionary results we have seen in 2016, be they in medical imaging, self-driving cars or machine translation also point to the fact that moving along the axes of data and compute power will lead to diminishing marginal returns… This means that the greatest yields can be reaped from pushing the third frontier forward, to develop algorithms that can learn from raw unlabelled data such as video or text. Read More

2016’s top programming trends

2016 brought many exciting developments in software and 2017 promises to be even better as containers and functional programming languages grow in adoption and JavaScript moves to become even more central parts of standard development practice. Read More 

Mobile is eating the world – 2016

Benedict Evans’ latest version of his well known presentation is not just about mobile but covers computing and market issues in the context of today’s dominant platform. The link provides access to both his slides and video presentation. Read More

2017 predictions for mobile marketing

In terms of industry headline value, possibly the two most intriguing mobile advertising developments in 2016 were perpetrated by platform operators: Google massively extended its suite of mobile advertising products and Apple introduced in-store search ads…

Eric Seufer provides three predictions for this year. Read More

Who controls the marketing tech stack in 2017: The CIO or CMO?

There are lots of workable options for collaboration. Dion Hinchcliffe suggests some scenarios. Read More

Also…

Keep up with design… Top 10 UX Articles of 2016 Announced via Nielsen Norman Group

And don’t forget… Content Structure in Tables via Story Needle

When Java shops grow up they become web companies or vice versa? via Redmonk

Speaking of software… Is it a good time to start a software company? via Sam Gerstenzang

What happens when everyone has a camera?… Cameras, ecommerce and machine learning via Benedict Evans

 

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