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Tag: Deep Learning

Gilbane Advisor 6-12-18 — CMS & CRM, pipes vs brands, AI & work, contextual up

CMS ❤ CRM – it’s nice to see two acronyms make friends

As we know, there are thousands of martech products in dozens of categories. Some categories are candidates for a being a center of gravity around which you can focus to build a stack or architecture.

CMS loves CRM

Sometimes there are competing centers of gravity. Paul Ford takes happy look at how two of these, CMS and CRM, can now more easily work together. Read More

Laying the pipes of a post-advertising world

In this excellent post Andre Redelinghuys makes a compelling case that “The shift from brands and advertising to pipes and subscriptions is inevitable — and well underway.” Read More

GDPR helping a contextual targeting comeback

Jessica Davies reports some advertisers and agencies are shifting budgets away from personalization to contextual targeting. Not just because of GDPR, but because it’s value was underestimated. From Carat:

Sophisticated semantic analysis tools, exclusive access to premium environments and high quality content creation and distribution opportunities with publishers and influencers arm us with the toolkit to serve digital advertising that doesn’t require personal data yet is relevant and will resonate with its audience… Read More

AI, radiology and the future of work

Image analysis is perhaps the most obvious example of the power of deep learning, and even Geoffrey Hinton and Andrew Ng have commented on its potential to effect the future careers of radiologists. Using radiology as an example, this short piece by the Economist offers three reasons to temper worries of AI taking over the workplace. Read More

Also…

The Gilbane Advisor curates content for content, computing, and digital experience professionals. We focus on strategic technologies. We publish more or less twice a month except for August and December. See all issues

Gilbane Advisor 4-25-18 — deep learning value, martech size, no-click searches

Notes from the AI frontier: Applications and value of deep learning

In 2011 as the excitement about Big Data was becoming mainstream, McKinsey published what was the most useful early report for executives. Big data: The next frontier for innovation, competition, and productivity, took a smart and measured look at use cases and value across industries. Given the symbiotic relationship between data and AI / machine learning, companies who were paying attention and invested in Big Data then are likely positioned well ahead of others to benefit from today’s advances in machine learning technologies and techniques.

AI performance improvement by industry

McKinsey’s new report provides a knowledgeable overview using accurate terminology in their “… analysis of more than 400 use cases across 19 industries and nine business functions highlights the broad use and significant economic potential of advanced AI techniques.” Highly recommended. Read More

A flaw-by-flaw guide to Facebook’s new GDPR privacy changes

Josh Constine provides a useful take on the changes rolling out now to European users illustrated with screen shots. But I think it’s safe to say that whether they are meeting the “letter of the GDPR law” is still a matter for debate.

Overall, it seems like Facebook is complying with the letter of GDPR law, but with questionable spirit…Facebook struck the right balance in some places here. But the subtly pushy designs seem intended to steer people away from changing their defaults. Read More

Marketing Technology Landscape Supergraphic (2018)

Scott Brinker has just released the latest update to his famous “Supergraphic”. The number of marketing technology vendors continues to grow. As Scott puts it, “Water continues to flow into the martech tub faster than it’s draining out.” Check out his post on what it all means and to see/download the graphic and a spreadsheet. Read More

Uh oh, click counts count less

Click quality and measurement has always been a bit iffy. But the biggest challenge to click value yet may come from a combination of mobile trends and Google’s strategy of reducing the need to click away from the search results page. Rand Fishkin’s post, New Data: How Google’s Organic & Paid CTRs Have Changed 2015-2018, looks at some interesting numbers. Back to brand marketing banners?
No-click searches desktop vs mobile

Ultimately, I think this data shows us that the future of SEO will have to account for influencing searchers without earning a click, or even knowing that a search happened. That’s going to be very frustrating for a lot of organizations. Read More

Also…

The Gilbane Advisor curates content for content, computing, and digital experience professionals. We focus on strategic technologies. We publish 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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