Curated for content, computing, and digital experience professionsals

Tag: AI (Page 1 of 4)

Gilbane Advisor 5-5-20 — no proof, medium hard, build it, pod-mail?

A radical solution to scale AI technology

Skip the proof of concept? This isn’t, or shouldn’t, be radical. It’s often a good idea for large scale projects, and not just for AI, or other digital experience or content technology initiatives.

Illustration: Israel G. Vargas
scaling AI
 
The example in this article is a customer experience chatbot for Nordea. Read More

How Medium became the best and worst place for coronavirus news

Medium’s pivots over the years created confusion about what they are and who they are for. The editorial challenges inherent in being both a platform and a publisher have only increased over time. Zoe Schiffer’s topical case study illustrates how difficult this balance is. Read More

It’s time to build

If you haven’t read this recent post by Marc Andreessen you should. Though prompted by frustration over our collective response to the current coronavirus pandemic, his prescription for preventing such future failures addresses a broader set of societal problems. Some he mentions; others are implicit, or follow, such as the focus on rent-seeking of wall street, VCs, and, well, too many of us. Read More

The New York Times’ morning email newsletter is getting an official “host and anchor”

Joshua Benton asks “Can any of the lessons of The Daily’s success be carried over into your inbox?” and attempts an answer, or rather asks the right questions. The new “The Morning” launched this week, and as someone who curates a newsletter I’ll be paying attention. But a podcast and an email newsletter are very different animals. Read More

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

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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

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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