Tag: machine learning (page 1 of 2)

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

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 4-13-18 — 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

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 1-30-18 — 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 1-16-18 — Open Web, Mobile Mesh, Machine Learning, AR

We’re back after our annual December break and looking forward to a year of consequential, if not yet tectonic, shifts in enterprise and consumer content strategies and applications. We’ll be closely watching how, and how fast, three major technology areas will drive these changes: 1) The tension between the Open Web and proprietary platforms; 2) Machine learning, in particular for unstructured data and mixed data; 3) New content types and uses — AR is here, but when will it grow beyond cute apps to serious industry breakthroughs? Each of these has the potential to dramatically re-arrange industry landscapes. Stay tuned!

A plan to rescue the Web from the Internet

André Staltz published The Web began dying in 2014, here’s how in the late Fall. It was a depressing post but there wasn’t much to argue with except an apparent ready acceptance of defeat. It is a good read, and for those familiar with the history, skim to the second half. Fortunately, he followed up with a post on a plan that already has some pieces in place. The plan “in short is: Build the mobile mesh Web that works with or without Internet access, to reach 4 billion people currently offline”. This is not a quick fix, and its future is not certain, but it is just the kind of bold thinking we need. Crucially, it recognizes the need for both open and closed systems. Highly recommended. Read More

A letter about Google AMP

More than other major platforms, Google has a stake in the Open Web and is largely supportive of it, Progressive Web Apps (PWAs) for example. And while they have been somewhat responsive to publisher concerns, there is reason to worry that AMP could end up as a wall for Google’s garden. There is a lot to like about AMP but ensuring it evolves in ways compatible with the Open Web is critical for Google and the health the Open Web. This succinct letter signed by a growing list of (mostly) developers has a couple of reasonable recommendations for Google to consider. Read More

What does the publishing industry bring to the Web?

The short answer is that the Open Web should not be limited to pointers to either walled gardens or proprietary applications. Complex collections of content and metadata that require or benefit from unique presentation or organization, in other words, documents, are too valuable not to be included as full Web citizens. Ivan Herman goes into more detail on the W3C blog…

Web Publications should put the paradigm of a document on the Web back in the spotlight. Not in opposition to Web Applications but to complement them. (Web) Publications should become first class entities on the Web. This should lead to a right balance between a Web of Applications and a Web of Documents as two, complementary faces of the World Wide Web. Read More

Does long-form content work in today’s small attention span world?

“Social media moves fast and rewards scrolling quickly past one message and onto the next. And mobile devices aren’t usually associated with spending long periods of time sitting and reading. It’s natural for people to assume these trends point toward a preference for shorter, “snackable”

long form content performance

content that can be consumed quickly… And yet, actual research looking into the issue of how content of different lengths performs doesn’t back up that assumption.” 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 5-19-17 — e-commerce, meta-platform, summarization and ML, design

E-commerce: What China reveals about the future of shopping

China’s e-commerce market is the world’s largest and fastest growing. It is also more mobile and more integrated with relevant platforms than those in the West, allowing for smoother customer experiences. This goes beyond WeChat e-commerce capability, the envy of western messaging platforms.

China's Digital Ecosystem - source BCG

There are reasons eastern and western e-commerce may continue to evolve differently. But there is a lot to learn from China’s experience. BCG and Alibaba dig in. Read More

Digital assistants drive new meta-platform battle

Bob O’Donnell riffs on the intersection of digital assistants, the voice interface, and platform value. This weeks’ keynotes at Google I/O, and last week’s at Microsoft Build both provide useful context to several of O’Donnell’s points.

… digital assistants … have the potential to completely devalue the underlying platforms on which they run. To put it succinctly, if I can use, say, Alexa across an iPhone, a Windows PC, my smart home components and a future connected car, where does the unique value of iOS or Windows 10 go? Out the door… Read More

Improving summarization with machine learning

That this would happen should be expected, especially after the dramatic improvement to machine translation due to ML. MIT Technology Review’s Will Knight reports on developments at Salesforce following their acquisition of MetaMind, which is what we point you to below. But you might also be interested in the more technical description of how the algorithm works — at least scroll down past the technical paragraphs to see useful sample results. Read More

Mobile First, Desktop Worst

Designing for an optimal user experience is extremely difficult even with a single screen because of the variety of media, layout, and use cases. Multiply the number of screens by n, and it seems like an impossible task. On top of this fiendish complexity, there are compromises to be made between developer objectives and brand directives. No wonder design is often dumbed down to be simply useable across devices rather than optimal. This may not be a solvable problem, though better tools, perhaps informed by machine learning, will certainly help. In the meantime, it pays not to expect too much from simple approaches. Read More

Gilbane Digital Content Conference
Call for Speakers Open

Content and digital experience technologies and strategies for marketing, publishing, and the workplace.

Proposal deadline is June 2 9 2017

Conference: November 28–29
Workshops: November 30
Renaissance Boston Waterfront Hotel

Also…

Know what you’re getting… A marketer’s guide to the tricks and hacks of influencers via Digiday

Have Web Standards on Mobile Caught Up to Phonegap in 2017? A look at some specific recommendations via Telerik developer network

ICYMI, Scott Brinker’s latest… Marketing Technology Landscape Supergraphic (2017): Martech 5000 via chiefmartec.com

Not-science-fiction – thinking a bit ahead… Open Water – The Internet of Visible Thought via Edge.org

Frank Gilbane’s Gilbane Advisor curates content for content, computing, and digital experience professionals. More or less twice a month.

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