Archive for AI

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

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 2-16-18 — Marketing & AI, publishing & AR, blockchain & media, IoT

How is AI disrupting marketing?

An excellent summary from Scott Brinker on the current/near-term reality of “AI” marketing applications. “…here’s the irony: as much as the hype has overstated what AI

Overhyped Marketing Buzzwords | chiefmartec.com

might do formarketing in the next 12-24 months, the reality of how AI is already working in marketing today is often under-recognized.” Tis true. Read More

The NYT is boarding the AR train — here’s what that means for storytelling

One of the areas we’re paying attention to this year is the use of AR content for serious enterprise applications and truly useful consumer use cases. In the case of publishing, The New York Times, Quartz, Axel Springer, and others, are experimenting with how the unique characteristics of AR content can enhance customer experiences rather than distract. As powerful as the AR promise is we don’t know how news consumers will react to the extra, more active, effort involved. But it’s time to find out. Read More

How blockchain could kill both cable and Netflix

Not this week, but there is keen interest in using blockchain technology to build decentralized peer-to-peer content management and distribution applications. There are a number of these kinds of projects planning to go live this year. Rizwan Virk describes much of the collective vision and potential disruption. A good place to start learning more. Read More

Smart homes and vegetable peelers

Andreessen Horowitz’s Benedict Evans doesn’t have a unified vision of the future of smart homes, but he does have some ideas and lots of enlightening questions. In this post he looks at smart home ecosystems and questions smart thing use cases, market dynamics, platform roles, integrations, and how we’ll interface with them. He remains “extremely skeptical” of voice as a new major platform, and rightfully so. This a must read for anyone building or investing in products or businesses around smart things – not just for the home. 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 11-15-17 — news value, implausible AI, software & CMS 2.0

Scoring news stories is hard​

Frederic Filloux dives into some research and unique challenges the News Quality Scoring project faces. A worthy project to benefit producers and consumers, the NQS “is aimed at assessing the value-added deployed by a media for a given news coverage in terms of resources, expertise, thoroughness of the process, and ethical guarantees.” Read More

Scoring news is hard | News quality scoring | NQS

True AI is both logically possible and utterly implausible

Wonderful and witty example of a philosopher rescuing us from a current confusion.

… It is like a two-knife system that can sharpen itself. What’s the difference? The same as between you and the dishwasher when washing the dishes. What’s the consequence? That any apocalyptic vision of AI can be disregarded. We are and shall remain, for any foreseeable future, the problem, not our technology. So we should concentrate on the real challenges. By way of conclusion, let me list five of them… Read More

1 million software companies by 2027?

Consolidation does not necessarily mean shrinkage ― the CMS market is a perfect example of one just kind of software company. The idea is not as crazy as it may sound. Read More

Software 2.0

This is a bit technical but will help you understand the types of applications where you’ll need machine learning to be competitive, which “at the very least involve anything to do with images/video, sound/speech, and text” (managing unstructured data or CMS 2.0!) and what kinds of developer skills are required.

I sometimes see people refer to neural networks as just “another tool in your machine learning toolbox”. They have some pros and cons, they work here or there, and sometimes you can use them to win Kaggle competitions. Unfortunately, this interpretation completely misses the forest for the trees. Neural networks are not just another classifier, they represent the beginning of a fundamental shift in how we write software. They are Software 2.0. Read More

Also…

Thankfully still plugging along… HTML 5.2 is a W3C proposed recommendation via W3C

Since we are waxing philosophical this issue… On software development, language games, tech adoption and the death of the author via RedMonk

Yay! Millennials flocking to pay for trusted news sources via Politico

The prediction season starts…Gartner Top 10 Strategic Technology Trends for 2018

The Gilbane Digital Content Conference

The Gilbane Digital Content Conference is focused on content and digital experience technologies and strategies for marketing, publishing, and the workplace.

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

 

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

Gilbane Advisor 10-23-17 — martec orgs, aligning vectors, emotion AI, search

Martech & marketing orgs

Scott Brinker looks at two surveys on how modern marketing organizations are re-structuring to manage marketing technology. In short, they have and are. Read More

Martech and marketing organizations

What Elon Musk taught me about growing a business

Dharmesh Shah was inspired by Elon Musk’s advice on growing and scaling a business, “Every person in your company is a vector. Your progress is determined by the sum of all vectors.” In this post, he explains what Musk meant in a way that doesn’t require any knowledge of linear algebra. This is a simple, practical, and powerful tool for anyone managing either a company or project. Read More

Emotional intelligence needs a rewrite

Software that can recognize emotions “emotion AI”, has a lot of potential and is already in use (learn more at this keynote at our upcoming conference). But recognizing emotions is not easy for humans, never mind software. Large amounts of data in specific contexts and application domains will continually help as data sets grow. Even so there is a lot to learn/unlearn in our understanding of how humans experience and process and exhibit emotional behavior. Read More

Google and the disintermediation of search

Jan Dawson argues, correctly I think, that the continued increase in Google’s traffic acquisition costs and effect on margins is something to watch, but of more concern…

… the threat of disintermediation could undermine the revenue base on which those margins are generated in the first place. What do I mean by disintermediation here? The fact that many of what would once have been Google searches are now pre-empted by other apps and services before the user ever reaches Google. Read More

The seven deadly sins of AI predictions

A lot of AI researchers and pundits imagine that the world is already digital, and that simply introducing new AI systems will immediately trickle down to operational changes in the field, in the supply chain, on the factory floor, in the design of products. Nothing could be further from the truth. Almost all innovations in robotics and AI take far,

Joost Swarte - AI Performance versus competence

far, longer to be really widely deployed than people in the field and outside the field imagine. Read More

Also…

Is AI riding a one-trick pony? No, but we are attaching too many expectations too soon. via Technology Review

Good advice… Three Paths in the Tech Industry: Founder, Executive, or Employee via Y Combinator

This could be you… Even smart people are shockingly bad at analyzing sources online. via Nieman Lab

If you want to dig in to Facebook’s About Face re React. via RedMonk

The Gilbane Digital Content Conference

The Gilbane Digital Content Conference is focused on content and digital experience technologies and strategies for marketing, publishing, and the workplace.

This discount is in addition to the $100 early bird discount!

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

 

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

Meet the Gilbane Conference keynote speakers

Gilbane Conference keynote

Join us in Boston to learn how your peers and competitors in marketing, IT, business, and content across industries integrate content strategies and computing technologies to produce superior customer experiences for all stakeholders.

Keynote presentations

Rachael Schwartz Gilbane Conference
Rachael Schwartz, VP, Product Management & General Manager, Keurig Connect, Keurig Green Mountain

Build Customer Conversations (NOT Impressions): A Keurig Green Mountain Digital Success Story​




Subrata Mukherjee | Gilbane Conference
Subrata Mukherjee, Digital Transformation Strategist, Chief Digital Officer, RealConnex

Disruption – Is Enough Really Enough?​


Gerry Murray, Research Director, Customer Experience: Sales and Marketing Tech, IDC

The Rise of AI in Marketing: IDC Shares What Every Marketer Should Know

The Gilbane Digital Content Conference is focused on content and digital experience technologies and strategies for marketing, publishing, and the workplace.

Main conference program: November 28 and 29
Post-conference workshops: November 30

The Renaissance Boston Waterfront Hotel

Questions?