Category: Gilbane Advisor (page 1 of 9)

Gilbane Advisor 7-29-19 — Enterprise ML risk, web contract, web 3.0, news & scale

Managing ML in the enterprise

Regulated industries are often among the first to figure out how to implement new technologies in complex, high risk environments. This O’Reilly article looks at how finance (mostly) and health care model risk in the context of machine learning. There are useful and important lessons for enterprises in general. Read More

 

Model risk management

A contract for the Web

We all know the web has a boatload of challenges coming from a collection of commercial and national sources intent on subverting or replacing it. But organizations and consumers of the web have also been too complacent as these threats have grown. The World Wide Web Foundation‘s mission is to “advance the open web as a public good and a basic right.” by changing government and business policies. The foundation has just published a draft “Contract for the Web” and is asking for input from governments, businesses, and citizens. That’s right, they want your opinion. Read More

Is Web3.0 the next lifestyle brand?

Web 3.0 does not, and will likely never have, a canonical definition. Web 3.0 refers to a collection of aspirations, similar to those of the Web Foundations’, and new technologies to support those aspirations and a decentralized web, such as blockchain and crypto. Since these technologies are not widely understood, marketing Web 3.0 etc. is a problem. Jeremy Epstein has some “half-baked” (his words) ideas on relating it to modern intentional lifestyle choices as away to build support. Read More

By running unwitting PR for Jeffrey Epstein, Forbes shows the risks of a news outlet thinking like a tech platform

If journalists want to criticize the anything-goes ethos of Facebook, it’s only fair to note when news organizations’ hunger for scale leads them down the same problematic 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.

Gilbane Advisor 6-26-19 — Deepnews.ai, iPadOS, open AI, agile vs waterfall

Introducing Deepnews Digest

Frederic Filloux and team have been working for 18 months on the Deepnews.ai project that uses a deep learning model to find the most relevant and non-duplicative articles on a particular news topic. They recently released a beta version of a newsletter that uses their model. The project, and his progress reports, are worth a look. Read More

Deepnews Digest 600

Agile versus waterfall

Apparently, there is some controversy over which approach is best. While this might make sense for a particular project, choosing one as an overall technology strategy is just silly. Scott Brinker explains (though he doesn’t say ‘silly’). Read More

The iPad operating system

Horace Dediu has one of the best takes on Apple’s WWDC announcements. I would agree that the new iPadOS is the most interesting/surprising of the announcements (Dediu says “most significant”). But I think the most interesting, if more predictable, announcement is the separation of the Apple watch App Store access from the phone. This is an important step in making the watch a stand-alone computing device with market reach well beyond Apple. Read More

AI can thrive in open societies

According to foreign-policy experts and the defense establishment, the United States is caught in an artificial intelligence arms race with China—one with serious implications for national security. The conventional version of this story suggests that the United States is at a disadvantage because of self-imposed restraints on the collection of data and the privacy of its citizens, while China, an unrestrained surveillance state, is at an advantage … This idea makes for a compelling narrative, especially for those trying to justify surveillance—whether government- or corporate-run. But it ignores some fundamental realities about how AI works and how AI research is conducted. 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.

Gilbane Advisor

The Gilbane Advisor newsletter curates content for our audience of content, computing, and digital experience professionals throughout the year, and includes Gilbane Conference news. We focus on strategic technologies and strategies.

We’ve been a trusted advisor to all stakeholders on content and information technologies and applications for decades. We only publish what we’ve written or what we’ve read and believe will be valuable to our subscribers.

Gilbane Advisor 6-4-19 — Martech metrics, B2C AR, B2B AR, machine talking

Martech stack metrics

Scott Brinker: “Martech stack utilization is a misguided metric… (when it’s disconnected from value)”. This is certainly true. Products/tools in your stack usually have many features, only a subset of which actually provide value for your needs. Identifying and

Martech stack value

focusing on those features can save resources and provide more accurate ROI calculations. Read More

4 questions retailers need to ask about augmented reality

It seemed like AR was poised for rapid adoption (beyond Pokémon Go) a couple of years ago when apps started appearing from Ikea and others. Indeed I thought so. There has certainly been a lot of activity and some very useful applications, but as usual the use-case specifications, cost justifications, integrations, and learning curve take a time-toll. Bain & Company has some good advice for execs creating or reviewing a plan. Read More

Google announces a new Glass augmented reality headset for B2B

Much of the advice in the Bain article we reference above is also relevant to non-consumer AR applications. Whether B2B AR deployments are ahead of B2C or not, project planning should be informed by research into both. ROI calculations will be very different, but technologies and user experience design considerations largely overlap. Google Glass was a consumer flop but their Enterprise Edition is making some progress and what they are learning is valuable. After all, employees and professionals are consumers too. Read More

Can we trust machines that sound too much like us?

David Weinberger raises a good point. He is not asking whether we can trust machines. He is asking whether we want to loose the trust signals we get from talking with humans when we can’t tell the difference between machine and humans voices. He also wonders about the efficiency and how our preferences will evolve. Human sounding machines will not always be the right choice. 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.

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


Join us at Gilbane’s Digital Experience Conference

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 2-27-19 — Language models, dev workflow, integration and DX

Better language models and their implications

OpenAI reports results using an unsupervised language model that generates coherent paragraphs of text. The examples are impressive. An additional reason to check this post and their site is the decision not to share the full models because of concerns they will be used formalicious purposes. This seems well-intended but is controversial. Read More

Google Translate & Wittgenstein

While we’re on the topic of language models. I love it when philosophers get credit, and this example is a favorite. In this quick read, Olivia Goldhill does a great job explaining how Google Translate, and other neural networking based natural language applications, are a manifestation of Wittgenstein’s theory of language. Read More

How fast can you go from structured content to working front-end?

Experienced content strategists and web developers know that collaborating as early as possible is the safest and fastest route to success. Chris Atherton shares a short engaging case study that is useful for educating nontechnical colleagues on why early iterative collaboration is important even for “simple projects”. Read More

Google, Dropbox, and the “one-window test”

Scott Brinker on platforms, integration, and DX. The same test, and advice, is useful when building your own non-SaaS, or mixed, systems.

“Does X integrate with Y?” is a deceptively oversimplified yes/no question. In the cloud, the answer is almost always “yes.” It’s kind of like calling a restaurant and asking if they combine ingredients together. Sure they do. But how tasty is the meal? How attentive is the service? How reasonable is the price? Read More



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

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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 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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Mark your calendar for
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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Learn more

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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