Curated for content, computing, and digital experience professionals

Tag: GDPR (Page 1 of 2)

Gilbane Advisor 11-20-19 — content value, enterprise search, EU, GOOG, FB

Content accounting: calculating value of content in the enterprise

Sarah O’Keefe provides a guide for measuring the business value of content for companies of all sizes. Helpful for content professionals, project managers, and senior management. Includes a sample P&L and balance sheet. Justify your project. Read More

content balance sheet

Content management on intranets: centralized, distributed, and hybrid models

This will be basic for many of you but is a clear and accessible description of the differences and the pros and cons of each model to share with non-specialist or non-technical colleagues. Read More

Google vs EU pubs and Facebook’s new trick

Frederic Filloux looks at the state of the complicated dance among EU publishers, Google, and Facebook in light of the recent announcements and motivations of each of them, and some research on news search behavior. A good read. Read More

The key to millions: enterprise search?

Steve Arnold dishes out a dose of reality in his inimitable slightly snarky way on the realities of the enterprise search market. 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.

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 5-25-18 — GDPR, GDPR & ML, GDPR & adtech, Martech paradox

Our privacy policy & GDPR

Since the EU’s General Data Protection Regulation (GDPR) goes into effect today we lead with our own privacy policy, and our progress in incorporating GDPR requirements. We encourage you to read it. TL;DR: We do not yet claim complete compliance. But because we don’t depend on advertising, and don’t buy, sell, or share personal data to help others advertise, complying with GDPR is less daunting than it is for many others. Our privacy policy will be updated as we continue to add support for GDPR. Read More

How will the GDPR impact machine learning?

Since GDPR is bigger than Queen Bey, we’re all being bombarded by emails and articles about GDPR, ranging from the click-baity to the ill-informed to the wishful-thinking to the doomsday-wailing to the we-can-help, to the technically-bureaucratic, to the thoughtfully-analytical, und so weiter. We expect most of you by now have waded through enough to find a favorite or two to get a handle on the basics, so we’ve chosen two posts that deserve a careful read that you might have missed. First up, Andrew Burt, digs into the details and complexity of what GDPR means for machine learning. There is no simple answer, but Burt’s article is a good place to learn why. Read More

GDPR will pop the adtech bubble

It could happen. Note that Doc Searls is not talking about advertising in general, just adtech. But adtech is, shall we, say well-funded. Read More

And now a break from GDPR!​…

Martech simultaneous consolidation & expansion

How is this possible?…

… a more accurate view of martech consolidation cycles is that they are indeed happening  but they are happening on top of a wave of underlying software expansion… That underlying wave of software expansion seems to be overtaking

martech consolidation and expansion

the natural business consolidation dynamics that are absolutely still happening at the same timeRead 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 5-9-18 — Ad cost, engagement, consent, speech

Annoying online ads do cost business

Nielsen Norman Group reports on a new research study involving 35 million Pandora users over 21 months. The study showed increased advertising caused a 2.8% reduction in use. As they point out, this is not a huge amount, and your mileage may vary.

ads effect on listening time

What is significant is the convincing quantification. Nobody wants to have to defend a drop in customer activity. Read More

Predicting content attention and behavior

Content strategist Michael Andrews argues that “The biggest weakness in content strategy today is that it lacks predictive explanatory power. … To provide predictive explanatory power, content strategy guidelines should be based on empirical data that can be reproduced by others.”. Andrews summarizes, and points to, a new study presented at the 2018 World Wide Web Conference by Nir Grinberg of Northeastern University that provides some data and interesting analysis. The summary and Grinberg’s paper are both worthy of your time, and a must read if you’re a content strategist. Read More

How Axel Springer is getting consent for GDPR

They’ve been running some tests and are kindly sharing the results.

So far, the publisher’s readers are far more likely to give consent when they receive a fact-based static message, rather than a video message or one written in a tone that requests the readers’ support. Read More

Speech recognition systems vulnerable to adversarial attacks

Nicholas Carlini and David Wagner invented a novel attack against speech recognition AI. With the addition of an imperceptible amount of noise, the attack can trick speech-recognition systems into producing any output the attacker wants.

The Gradient’s Hugh Zhang points out that this kind of

targeted deception in nature

attack is also a problem for other deep learning algorithms, for example in image recognition. 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

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