The Gilbane Advisor

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Tag: machine learning (page 1 of 2)

Gilbane Advisor 4-3-20 — WFH, content technology, AGI not

Content and MarTech vendor subway maps

In 2008 Tony Byrne came up with the idea of a “subway map” as a useful and fun way to illustrate the content technology vendor landscape. He has updated the map every year to incorporate the shifting landscape, sprawling growth, adjacent technologies, and of course the renaming and repositioning by vendors and market analysts.  

content technology vendor subway map

In this article, he shares all 12 subway maps and his thoughts on the changes each year. History is always relevant. A good read. Read More

Scroll, Firefox and ad-free news

Though their impact may be small, at least to start, the business model is interesting. Read More

Scroll and Firefox no-ad news

RealWorld framework comparison 

Handy up-to-date info for front-end-developers. Comparing performance, size, and lines of code implementing Conduit. Read More

RealWorld frameworks

The end of Starsky Robotics

This is a cautionary tale of what can happen when an enthusiastic founder and hungry investors crank each other up without guarding against mutually assured destructive confirmation bias, and don’t do enough serious due diligence. This scenario is unfortunately common, though often with enough funding/time/expert support a pivot or two can prevent disaster.

In this particular case, the problem was a naive expectation of what machine learning could, or would soon be able to, accomplish. Even the possibility of Artificial General Intelligence (AGI) is controversial among experts in the field. I only share this because Starsky’s founder and CEO Stefan Seltz-Axmacher had the courage to publish it. Kudos to him for sharing what happened, and providing enough detail for a valuable case study for entrepreneurship programs. Read More

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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. We do not sell or share personal data.

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Gilbane Advisor 3-4-20 — IKEA, T5, AI

IKEA sets a new privacy standard for marketers

Tim Walters reports on an impressive approach by IKEA to earn consumer’s trust, by doing rather than (just) promising. As Tim says, you should really watch the IKEA video description and demo with their delightfully down-to-earth Chief Digital Officer, Barbara Martin Coppola. Read More

Transfer Learning with T5: the Text-To-Text Transfer Transformer

Many of you are familiar with natural language processing (NLP) from the rule-based machine translation in the 80s to today’s more successful machine learning approaches. This post from the Google AI Blog describes a promising new Transfer Learning technique and openly available tools. Slightly technical with a link to the academic paper.

With T5, we propose reframing all NLP tasks into a unified text-to-text-format where the input and output are always text strings, in contrast to BERT-style models that can only output either a class label or a span of the input. Our text-to-text framework allows us to use the same model, loss function, and hyperparameters on any NLP task, including machine translation, document summarization, question answering, and classification tasks (e.g., sentiment analysis). Read More

The new business of AI (and how it’s different from traditional software)

Martin Casado and Matt Bornstein from Andreessen Horowitz wrote a thoughtful piece for AI startups and investors on the differences between the business models of AI companies and software companies. As investors they have a particular interest in the margin potential look at the resources and costs associated with each. My take is that is that they have identified a difference of degree rather than of kind, at least in the case of enterprise software applications, which have similar scaling, “humans in the loop”, interoperability, custom development, and support requirements. Large scale content management systems and “digital experience platforms” are examples. In any case, this is a good read, and all the authors’ recommendations should also be considered by traditional enterprise software companies :).  Read More

Update on technology transformations

McKinsey reports on enterprise’s view and appetite for continued technology transformation. Tldr; it’s hard but showing benefits, and competitiveness demands its continuation. Read More

Business side support IT in top companies

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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. We do not sell or share personal data

Gilbane Advisor 9-18-19 — Good/bad Google, multi-purpose content, face recognition & DBs

Less than half of Google searches now result in a click

Some mixed news about Google for publishers and advertisers in the past few weeks. We’ll start with the not-so-good news about clicks, especially as it turns out, for mobile, detailed by Rand Fishkin…

We’ve passed a milestone in Google’s evolution from search engine to walled-garden. In June of 2019, for the first time, a majority of all browser-based searches on Google resulted in zero-clicks. Read More

Google organic click stats

Google moves to prioritize original reporting in search

Nieman Labs’ Laura Hazard Owen provides some context on the most welcome change Google‘s Richard Gingras announced last week. Of course there are questions around what ‘original reporting’ means, for Google and all of us, and we’ll have to see how well Google navigates this fuzziness. Read More

Designing multi-purpose content

The efficiency and effectiveness of multi-purpose content strategies are well known, as are many techniques for successful implementation. What is not so easy is justifying, assembling, and educating a multi-discipline content team. Content strategist Michael Andrews provides a clear explanation and example of the benefits of multi-purpose content designed by a cross-functional team that is accessible for non-specialists. Read More

Face recognition, bad people and bad data

Benedict Evans…

We worry about face recognition just as we worried about databases – we worry what happens if they contain bad data and we worry what bad people might do with them … we worry what happens if it [facial recognition] doesn’t work and we worry what happens if it does work.

This comparison turns out to be a familiar and fertile foundation for exploring what can go wrong and what we should do about it.

The article also serves as a subtle and still necessary reminder that face recognition and other machine learning applications are vastly more limited than what ‘AI’ conjures up for many. Read More

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A few more links in this issue as we catch up from our August vacation.

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 3-19-19 — Federated ML, ephemeral messaging, search for humans

Google releases federated machine learningTensorFlow summit 2019

Federated learning is going to be a thing. Health care is just one example… “TensorFlow Federated will provide distributed machine learning for developers to train models across many mobile devices without data ever leaving those devices. Encryption provides an additional layer of privacy, and weights from models trained on mobile devices are shared with a central model for continuous learning.” Read More

A warning on the dangers of ephemeral messaging

The Information’s Sam Lessin is bullish about Facebook’s moving to full encryption, but thinks a reliance on ephemeral messaging is a big mistake. He makes a good case and the issues he raises need broader consideration. (Firewall – but you can get access by providing an email.) Read More

Search engines: a human perspective

Wise words on search applications from Daniel Tunkelang.

The foundation of human-computer information retrieval (HCIR) is that search engines help searchers who help themselves. The best search engines reward searchers’ incremental effort with a higher return on investment. … But searchers have been trained by simple search interfaces, and their laziness is compounded by a skepticism of anything that violates their expectations. In order to earn searcher effort, search engines have to provide simple, incremental, and effective steps that guide searchers — and that teach them through experience that the return justifies the additional effort. Read More

Facebook’s News Feed era is now officially over

It’s anyone’s guess where Facebook will end up after the strategic shift announced last week. The new direction impacts all parts of the company and raises questions about their business model, growth, and of course, organization. Read More


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Digital experience strategies, technologies, and practices, for marketing and the workplace

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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 1-7-19 — Open gov data, AGI, analog revolution, future book

Happy New Year Dear Reader! We’re back from our holiday break. Though we don’t publish in December we do continue to read and select trustworthy content worthy of your valuable time. Enjoy.

Congress votes to make open government data default in U.S.

Surprise! “On December 21, 2018, the United States House of Representatives voted to enact H.R. 4174, the Foundations for Evidence-Based Policymaking Act of 2017, in a historic win for open government in the United States of America… The Open, Public, Electronic, and Necessary Government Data Act… (AKA the OPEN Government Data Act) is

 
open government data

about to become law as a result.” Ok, now for the implementation… Read More

AGI is nowhere close to being a reality

When people talk about “AI” the first thing to understand is what they are really talking about. There are three possibilities: first, advanced machine learning techniques such as deep neural networks (DNNs), second, artificial general intelligence (AGI) that will perform tasks at human level, and third, anything or everything from basic software algorithms to super AGIs far beyond human intelligence. Mixing these up causes confusion, hype, and fear. The first of these defines the sense of “AI” of the vast majority of existing and near term opportunities for application. This post, with input from Geoffrey Hinton and Demis Hassabis, who ought to know, explains where we are and aren’t. Read More

Childhood’s End

In this short, rich essay, George Dyson argues that the digital revolution has morphed into something else altogether right under our noses. The new “analog revolution” has begun and we need to deal with it. Definitely don’t rush this one. Grab a coffee and get comfortable. While you’ll likely see his main point quickly, there is much to think about.

We imagine that individuals, or individual algorithms, are still behind the curtain somewhere, in control. We are fooling ourselves. … The search engine is no longer a model of human knowledge, it is human knowledge. What began as a mapping of human meaning now defines human meaning, and has begun to control, rather than simply catalog or index, human thought. No one is at the controls. If enough drivers subscribe to a real-time map, traffic is controlled, with no central model except the traffic itself. Read More

The ‘Future Book’ is here, but it’s not what we expected

An instructive history of electronic books by Craig Mod. Perfectly reasonable predictions don’t always pan out.

… We were looking for the Future Book in the wrong place. It’s not the form, necessarily, that needed to evolve … Instead, technology changed everything that enables a book, fomenting a quiet revolution. … Funding, printing, fulfillment, community-building—everything leading up to and supporting a book has shifted meaningfully, even if the containers haven’t. Perhaps the form and interactivity of what we consider a “standard book” will change in the future, as screens become as cheap and durable as paper. But the books made today, held in our hands, digital or print, are Future Books, unfuturistic and inert may they seem. Read More

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Gilbane’s DX conference

April 29 – May 1, 2019, Washington DC
Digital experience strategies, technologies, and practices, for marketing and the workplace.

 
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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

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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

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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 4-13-18 — GDPR, AI and content management, Chrome referrals

GDPR – a big deal for small publishers

“… think about this in relation to a new visitor. Someone that you have no prior relationship with… What data can you actually collect and use for that person? The answer is … nothing! … a first time visitor hasn’t done anything that could be considered consent, so you have nothing to work with.”

And you can’t use third-party plugins like ad partner scripts or social widgets that collect data. GDPR is complicated and how much of it will be interpreted is unknown.

Google forcing consent for GDPR
Thomas Baekdal explains why, and how, all publishers need to get started. Read More

The top 25 AI use cases for content management

What we used to call “unstructured data” is the raw material of content management, and this same raw material is where machine learning will have the largest impact. Kashyap Kompella has put together a list of use cases you’ll want to look at. Read More

Chrome’s Articles for You a major new referral source

Google Chrome’s Articles for You is an under-publicized feature of Chrome on both Android and iOS that is now the fourth most prominent referrer in the Chartbeat network (behind Google Search, Facebook, and Twitter). Even though Chartbeat is currently only tracking Articles for You referrals from Android and not from iOS, its Android referrals alone are now about two-thirds the size of all of Twitter (desktop, Android, iOS) in terms of the volume of traffic sent… Articles for You traffic grew a shocking 2,100 percent in 2017 — from driving 15 million visits per month to publishers using Chartbeat to 341 million visits per month.

There are lots of questions about how this works. Josh Schwartz reports on what he’s been able to find out. Read More

It’s time to rebuild the web

Most of what is written about this topic assumes radical decentralization and blockchain. But this won’t happen quickly even though there are lots of blockchain applications already popping up. The general problem is just too big, the user experience changes alone are daunting, and there are still technical challenges. Mike Loukides takes a thoughtful look at a simpler path. Read More

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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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