Archive for marketing stack

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

 

The Gilbane Advisor curates content for our community of content, computing, and digital experience professionals. Subscribe to our newsletter, or our feed.

Gilbane Advisor 10-13-16 – Hive, WeChat, enterprise social, open images, marketing stacks

The Hive is the New Network

This is a fascinating and thought-provoking read. To oversimplify enough to be obvious: The return on network scale is diminishing; future value will come from more purposeful, naturally emerging ecosystems that go beyond connecting and communicating. WeChat and Uber are examples, but there are also others and the details and subtleties are worth careful thought by those looking ahead.

The hive is a smarter, evolved network that is bigger than the sum of its parts. … While networks like Instagram and Twitter are beginning to wear thin, messaging apps like WeChat are frenetic hives of activity that build economic empowerment. Like honeybee scouts, messaging apps decrease the friction of centralized nodes in the 1:1 communication between individual nodes and allow for emergent behaviors. … WeChat began five years ago as a messaging service. Today, you can use it to pre-order dumplings from a street-vendor, call a taxi, read the news, and even buy a house. Read More

WeChat: China’s Integrated Internet User Experience

Speaking of WeChat, it’s success is not just because of the chatting. Nielsen Norman Group did some research to determine whether the hype around  “conversational user interfaces” was warranted.

Much of this hype stems from angst generated by the success of the Chinese WeChat service, which had 700 million users as of April 2016. WeChat has been touted as the poster child for conversational user interfaces. In this article, we report on user research we did in China with WeChat users. The study aimed to uncover practices in which WeChat users engaged, as well as why and in which cases its users preferred to use WeChat instead of regular mobile websites and apps. … UX research finds that tightly integrated services with a wide-ranging set of convenient features, accessed through a simple and unified design, are the reason Chinese users use WeChat so much. People mainly use traditional GUI interactions, not a “conversational user interface,” despite the hype. Read More

Facebook Workplace for enterprise social networking?

Hard to imagine enterprises jumping on to this, or Facebook counting on it. For the moment there is no rush to abandon Slack, Yammer, or whatever other social networking tools you are using. But of course you have to pay attention to it in case they’re determined – they are starting out with competitive pricing and, presumably the UI will be familiar. Read More

Introducing the Open Images dataset

Nice of Google, in order to advance “equality of opportunity in machine learning”, to release…

Open Images, a dataset consisting of ~9 million URLs to images that have been annotated with labels spanning over 6000 categories. We tried to make the dataset as practical as possible: the labels cover more real-life entities than the 1000 ImageNet classes, there are enough images to train a deep neural network from scratch and the images are listed as having a Creative Commons Attribution license. Read More

Odds are your marketing stack is way bigger than you think it is

Many of you may already be familiar with Ghostery. Well, in the spirit of Terence Kawaja’s and Scott Brinker’s marketing technology landscapes, we now have “GhostyScape”. Scott describes it…

Ghostery is used by companies to optimize the performance of their sites and identify security holes. After all, those software services being triggered on your web pages have computational overhead that can potentially drag down client-side experiences — or potentially pass along data to an unexpected network of third parties to third parties. (Fourth party data?)… But here, they serve a more modest purpose: to illustrate just how large marketing stacks really are in practice. These Ghostery maps only show a slice of a company’s marketing stack — the slice that’s visible from scanning client-facing web pages. There’s more happening backstage, for sure. I guarantee you, more than you expect. Read More

Also…

One can only imagine how much of this is already going on. There’s a growing problem of bots fighting each other online via Technology Review

It’s not just the ads, it’s the tracking… New Ad Coalition Won’t Dent Ad Blockers – And They Know It via Digital Clarity Group

Not ready for prime time but something to keep an eye on… Startups Bet on Workplace Use of VR via The Information

This is remarkable… Google says its new AI-powered translation tool scores nearly identically to human translators via Quartz

“The dynamic between mobile web’s critical role in expanding audience reach and the app’s role in high user engagement” and more in The 2016 U.S. Mobile App Report via Comscore

Gilbane Digital Content Conference 2016 logo

Main conference: November 29 – 30
Workshops: December 1, 2016
Fairmont Copley Plaza, Boston

The Gilbane Advisor curates content for our community of content, computing, and digital experience professionals. Subscribe to our newsletter, or our feed.