If you missed last week’s issue where we introduced our new format, check it out here.

This week we suggest articles by Scott Brinker and Mike Bostock and have news from RWS, Snowflake, GraphDB, FileCloud, SNS, and Kofax. (3.7 min)

Always interested in hearing what you think!

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Opinion / Analysis

Aggregation Theory applied to martech stacks

Scott Brinker has a clever article tying together his own thoughts on tech stacks and platforms, with Ben Thompson’s aggregation theory. His piece is not prescriptive, but suggestive. Looking at your own stack and operational workflows through this lens could surface useful insights on ways to improve both customer and employee experiences and operational efficiencies. If you’re a product manager, you (hopefully!) already understand quite a bit about the horizontal and vertical data flows, integrations, and relative control of other products in the ecosystem you live in, but I expect you’ll still find the article fruitful. The concept of aggregating time is especially rich.

https://chiefmartec.com/2021/05/aggregation-theory-applied-martech-stacks-2/

JavaScript for data analysis

With the web opening new frontiers in collaboration, the web’s native language of JavaScript is the best choice for exploring data and communicating insights.

Mike Bostock makes the case that JavaScript’s ubiquity, and related collaboration and communication capabilities, provide a key advantage over Python, R, and Julia, today’s languages of choice for data analysis. Given that most organizations struggle with integrating data analysis into decision-making across business applications, it’s an interesting idea. Bostock is not naive and discusses what JavaScript still lacks, but it’s still his first choice for its “portability and convenience”.

https://towardsdatascience.com/javascript-for-data-analysis-2e8e7dbf63a7

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Content technology news

RWS brings back Language Weaver brand

June 9, 2021 – RWS, provider of technology-enabled language, content management, and intellectual property services, announced the return of Language Weaver, a pioneering brand in automatic language translation. Language Weaver, which combines RWS’s linguistic expertise with SDL’s and Iconic’s technologies, will now represent RWS’s machine translation platform.

Founded in 2002 Language Weaver commercialized new approaches to automatic language translation based on machine learning. Acquired by SDL in 2010, the Language Weaver brand was retired in 2015 and renamed SDL Machine Translation. The technology, through continual investment, evolved from statistical machine translation to neural machine translation, capable of instantly translating content across 2,700 language combinations. RWS acquired SDL in 2020, and is now bringing back the Language Weaver brand.

Building machine translation (MT) models has traditionally required specialists. The Language Weaver platform allows anyone to provide real-time feedback on translations and fine-tune generic language models. Behind the scenes the platform also constantly looks for ways to improve the quality of translations. The technology benefits any business or industry dealing with large volumes of multilingual content. Language Weaver can be integrated with any software or platform, from Microsoft Office, to chatbots and eCommerce platforms. 

https://www.rws.com/language-weaver/

Snowflake adds features

June 8, 2021 – Snowflake unveiled new product innovations for the Data Cloud, including data programmability, global data governance, and platform optimizations.

Data programmability:

• Snowpark. With initial support for Java and Scala, Snowflake’s developer experience, Snowpark, allows data engineers, data scientists, and developers to build using their preferred language and execute these within Snowflake.
• Java UDFs. With Java user-defined-functions (UDFs), customers can bring their custom code and business logic to Snowflake.
• Unstructured data. Snowflake’s unstructured data support enables customers to store, govern, process, and share file data alongside their structured and semi-structured data.
• SQL API. The Snowflake SQL API enables applications to call Snowflake directly through a REST API.

Global governance:

• Classification. Snowflake’s classification capability automatically detects personally identifiable information (PII) in a given table and leverages the tagging framework to annotate the data.
• Anonymized views. This can be used to protect privacy and identity in a dataset.

Platform:

• Improved Storage Economics. Better compression, and reduced storage costs.
• Improved Support for Interactive Experiences. Updates released for high volume and low latency workload requirements improve query throughput on a single compute cluster.
• Usage Dashboard. New usage dashboard helps customers better understand usage and costs across the platform.

https://www.snowflake.com

GraphDB 9.8 brings text mining and Kafka connectivity

June 2, 2021 – Ontotext announced the realize of GraphDB 9.8, which offers text mining integration, notifications over Kafka, Helm charts, and performance improvements. The text mining plugin comes with out-of-the-box support for text analytic services such as Ontotext’s Tag API, GATE Cloud, and spaCy server, as well as an expressive mapping language, to register new services without coding. The extracted text annotations can be manipulated with SPARQL and either returned to the caller for further processing or stored directly into the repository where they will enrich the existing knowledge graph. This functionality covers a number of use-cases that rely on both RDF and text analytics.

The Kafka connector provides a means to synchronize changes to the RDF model to any downstream system via the Apache Kafka framework. Each Kafka connector instance will stay automatically up-to-date with the GraphDB repository data. The implementation is built on the same framework as the existing Elasticsearch, Solr and Lucene connectors and allows for precise mapping from RDF to JSON, such as defining fields based on property chains, nested document support as well as advanced filtering by type, literal language or a complex expression. GraphDB 9.8 comes with standard Helm charts and instructions that can help you get started with GraphDB Enterprise Edition on Kubernetes.

https://www.ontotext.com/company/news/graphdb-9-8/

More recent news…

FileCloud releases FileCloud 21.1

The latest version of the cloud-agnostic enterprise file sync, sharing and data governance platform, is faster, with increased efficiency and ability to handle higher loads. The system software applications have been upgraded for optimal performance on Apache, PHP, MongoDB and SOLR. The customer experience has also been enhanced, with a new, streamlined user interface along with the debut of a log-in wizard…

https://gilbane.com/2021/06/filecloud-releases-filecloud-21-1/

SNS unveils ShareBrowser plugin for DaVinci Resolve

Studio Network Solutions (SNS), provider of workflow storage servers for professional media teams, announced that their ShareBrowser media asset management (MAM) software is now available as a workflow integration plugin for DaVinci Resolve Studio video editing software by Blackmagic Design…

https://gilbane.com/2021/06/sns-unveils-sharebrowser-plugin-for-davinci-resolve/

Kofax updates Intelligent Automation Platform

Kofax TotalAgility, the workflow orchestration engine within the company’s Intelligent Automation Platform, has been enhanced with 50 new low-code, document intelligence, process orchestration and connected systems capabilities…

https://gilbane.com/2021/06/kofax-updates-intelligent-automation-platform/

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The Gilbane Advisor is curated by Frank Gilbane for content technology, computing, and digital experience professionals. The focus is on strategic technologies. We publish recommended articles and content technology news weekly. We do not sell or share personal data.

Subscribe | Feed | View online | Editorial policy | Privacy policy

Content technology news | Contact

I mentioned last week I would be combining our monthly reading recommendations and weekly news into a single weekly publication, while keeping the size of the email about the same (4 +/- min). The late March-like weekend weather here in Boston inspired me to move quicker than planned.

Our new format includes recommended articles in our Opinion / Analysis section. In our News section we have the full text of some of our edited news stories with links to the original source, and snippets of additional news items with links to our edited version.

This week we suggest articles by Benedict Evans and Daniel Tunkelang, and have news from Elastic, Librestream, Varada, Microsoft, Squirro, Fluree and Lead Semantics, and AtScale.

Always interested in hearing what you think!

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Opinion / Analysis

Apple, Fedex and the cookie apocalypse

If you’ve been following the consumer privacy versus advertising discussions, you know that Apple’s and Google’s moves are a big deal, but what will result? What will the three-way push-and-pull between advertisers, publishers, and consumers look like? How will each change their model or behavior? What impact will the reactions of rent seekers and regulators have? Nobody knows. Benedict Evans reviews the current state of affairs, suggests some changes, and helpfully looks at the bigger picture.

As cookie-based ads go away, does the targeting move from the cloud to the client, or from the reader to the content? Does this make the strong stronger? Or does the money go to Fedex instead?

https://www.ben-evans.com/benedictevans/2021/5/25/apple-fedex-and-the-cookie-apocalypse

AI for query understanding

We know that Google, Amazon, Microsoft, and others are working hard to determine search intent to create better search results and assistant responses. There is also a lot of interest in replacing inverted indexes with neural information retrieval. Search expert Daniel Tunkelang argues for prioritizing the use AI tools on query understanding before using them to improve retrieval and ranking. He explains more in this short article, and provides useful links for those of us who might need a refresher on search technology terminology.

https://dtunkelang.medium.com/ai-for-query-understanding-d8c073095fff

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Content technology news

Elastic adds features in Elastic Enterprise Search 7.13

May 27, 2021 – Elastic announced new Dropbox integrations, the beta release of the Elastic App Search precision tuning API, and enhanced custom source APIs across the Elastic Enterprise Search solution in the 7.13 release. Elastic Enterprise Search includes expanded content sources for Elastic Workplace Search, now supporting Dropbox Paper and complete document-level permission synchronization across all Dropbox content. Teams that rely on Dropbox to collaborate, create, and coordinate can use Workplace Search to find the content they need alongside relevant chat messages, wiki pages, PDFs, and other content.The new Elastic App Search precision tuning API, now available in beta, allows customers to adjust the recall and precision of their websites or application search results. Through a single API call or parameter at query time, search admins can easily unlock granular search optimization by configuring how broad or narrow their search results should be to suit the exact needs of their users.New custom source management APIs, also introduced in Workplace Search 7.13, simplify data ingestion and enable users to manage content from any source, including legacy and custom applications. The new APIs allow for programmatic, on-the-fly creation and operation of sources without the need for manual setup. Users can create high-quality ingestion pipelines for any source alongside other day-to-day tools, all with unified relevance.

https://www.elastic.co/blog/whats-new-elastic-enterprise-search-7-13-0

Librestream enhances knowledge-sharing with AI Connected Expert

May 27, 2021 – Librestream, provider of augmented reality (AR) and remote collaboration solutions, launched new capabilities for its Artificial Intelligence (AI) Connected Expert vision giving industrial workers access to the content, people, smart data and guidance needed to efficiently and safely perform their work.

The new components to the Onsight platform include natural language processing (NLP) with real-time translation capabilities to bridge language barriers amongst global workers, and an industrial-first AR experience for the Microsoft HoloLens 2 platform. The advancements build on the AI Connected Expert workforce vertically-trained computer vision, reducing human cognitive load, and enabling faster time to competency for employees, as well as IoT sensor data visualizations within the Onsight experience.

Onsight Translator, Librestream’s NLP capability, enables users to simply and securely translate “speech to text,” including live transcription (captions) displayed on-screen and live translation of calls from one language to another. Whether a field technician works with a subject matter expert on an asset repair task, communicates with a supplier in a different country or assists with a remote inspection, Onsight Translator’s speech recognition and machine translation bridges language gaps.

Onsight Connect for HoloLens 2 provides hands-free experience across collaborators, incorporating the mixed reality features of the HoloLens 2 such as holographic visual interface and support for gestures, voice-driven commands, and 3D audio experience.

https://librestream.com/press-releases/librestream-unveils-workforce-collaboration-and-knowledge-sharing-enhancements-as-part-of-ai-connected-expert-vision/

Varada delivers text analytics on the Data Lake for SQL Consumers

May 27, 2021 – Varada, a data lake query acceleration provider, announced its platform now supports text analytics workloads and helps data teams deliver faster time-to-insights on exabytes of string-based data. Varada’s solution for interactive text analytics, integrated with open source search engine Apache Lucene, works directly on the customer’s data lake and serves SQL data consumers out-of-the-box. Varada’s text analytics feature is deployed in the organization’s own environment, so the data is not duplicated and never leaves. Plus, it incorporates all data from any source without modeling with results that are both thorough and precise. Varada’s dynamic and adaptive indexing technology enables text analytics workloads to run at close to zero latency response time.

Varada’s adaptive and autonomous indexing technology leverages machine learning capabilities to dynamically accelerate queries to meet evolving business requirements. Varada indexes data directly from the data lake across any columns. Based on the data type, structure, and distribution of data, Varada automatically creates an optimal index from a set of indexing algorithms including text-optimized search and index (based on Apache Lucene) as well as bitmap, dictionary, trees, etc. Indexes also adapt to changes in data over time.

https://varada.io/

More recent news…

Microsoft Build — selected news

Lots of news this week at the annual Microsoft Build developer conference. They did produce a very helpful “Book of News” (at about 8,800 words) with a table of contents to cover it all. Below is a selection of announcements our readers are most likely to be interested in, followed by a link to the …

https://gilbane.com/2021/05/microsoft-build-selected-news/

Squirro launches new Squirro App Studio

Squirro, an Augmented Intelligence solutions provider, has announced the launch of its new Squirro App Studio, a no code / low code platform to build and set up AI-powered apps such as Cognitive Search quickly and easily. The platform enables users with no background in data science to build a Cognitive Search app, leveraging Artificial …

https://gilbane.com/2021/05/squirro-launches-new-squirro-app-studio/

Fluree and Lead Semantics announce TextDistil

Fluree, provider of an immutable semantic graph data platform, announced a technical partnership with Lead Semantics to provide an integrated solution, TextDistil, for enterprise data management teams building semantic-capable, secure data fabrics. A focus for the integrated solution includes regulated industries, with a greater magnitude and scope of requirements needed to prove compliance, including fintech, …

https://gilbane.com/2021/05/fluree-and-lead-semantics-announce-textdistil/

AtScale announces AtScale CloudStart

Semantic layer eliminates the friction of moving BI, artificial intelligence and machine learning workloads to the cloud. …

https://gilbane.com/2021/05/atscale-announces-atscale-cloudstart/

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The Gilbane Advisor is curated by Frank Gilbane for content technology, computing, and digital experience professionals. The focus is on strategic technologies. We publish recommended articles and content technology news weekly. We do not sell or share personal data.

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Content technology news | Contact

First, an update on some upcoming changes. Last November I started a weekly content technology news newsletter to complement the monthly Advisor. I kept them separate to gauge the level of interest in curated product news. It’s clear that the vast majority of you are interested in both, so starting soon we’ll be combining the two types of content into a single weekly that will contain both recommended reading and product news. Those of you more interested in the opinion and research articles will now have something to read every week.

I’m still working out how much of each type of content to include for an optimal experience for busy readers. There may be a bit of experimentation involved, and I look forward to your thoughts. You can reach me anytime at frank@gilbane.com.

Thanks for being a subscriber!
Frank

In this issue we have recommended reading on Twitter and subscriptions, collaboration platforms, AI meets BI, blockchains for content creators and publishers, an open source alternative to GPT-3, automated image content generation for marketing, and CMS adoption and use tips, and the return of the Journal of IA.

Our content technology news weekly will be out Wednesday as usual.

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Market-Making on the Internet

Has Twitter finally found a path to growth that leverages its appeal, assets, and market position? Are they getting their mojo back? It is certainly not unreasonable to be skeptical, but they have made lots of moves in the last few weeks. The most interesting are the acquisitions of Substack competitor Revue, and Scroll, which provides publishers an alternative to ad-dependence for revenue. Twitter plans to use both these products in a new subscription offering that includes newsletters and websites.

Stratechery’s Ben Thompson has an enthusiastic take on this and digs into why he thinks this is an excellent monetization strategy for Twitter. (This article is not behind his paywall.)

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Salesforce and Microsoft have an uphill battle to own collaboration

This may sound unlikely given the popularity of Teams and Slack combined with the resources of the parent companies. But the pincer movement of integration requirements from legacy solutions and new insurgent applications are an expense and drag on growth for all platforms. And the ceaseless battle for customer facing control guarantees software applications will continue to add their own collaboration capabilities. Microsoft and Salesforce will be fine (all applications have some integration needs), but so will a growing number of insurgents. Protocol’s Joe Williams goes into more detail.

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A media ownership model: Why subscribe when you can invest?

Jarrod Dicker, who you may know from the Washington Post, Blockchain startup Po.et, Time, Huffington, and The RebelMouse content management system, has been pushing for a blockchain-based platform for content creators and publishers for years. He was, may still be, a little ahead of the curve, but this article was published on Mirror, a platform implementing this structure for writers today.

This new media structure will be wholly owned by the creators, operators and consumers themselves. It will be a product of both the public and its producers and will not limit participants to a single company. These media companies can be looked at as collectives, with their own identities, where creators and consumers are encouraged to flow interdependently throughout various collectives. All of which results in everyone investing in both the development of each collective and sharing in the value of the collective’s upside.

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When AI meets BI: 5 red flags to watch for

Business intelligence is an obvious use case for machine learning and shares getting-started challenges with other applications. This article starts with well-known warnings, but then goes deeper, describing the need for an “AI teacher”, getting into specifics of master data requirements, and explaining why a knowledge graph is critical for BI.

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Also worthy

• Pointers on increasing adoption and use… The training is coming from inside the CMS via NYT Open
  
• Interesting, but will it save time or add to it?… Intelligent graphic design: Adobe’s Directional GAN automates image content generation for marketing campaigns via Synched
  
• The Journal of IA returns… Spring 2021 papers on information architecture via Journal of Information Architecture
  
• An open source alternative to GPT-3… GPT-Neo is something to be excited about via VentureBeat

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The Gilbane Advisor is curated by Frank Gilbane for content technology, computing, and digital experience professionals. The focus is on strategic technologies. We publish more or less twice a month except for August and December. We also publish curated content technology news weekly We do not sell or share personal data.

Subscribe | Feed | View online | Editorial policy | Privacy policy

Content technology news | Contact

In this issue we take you on a trip through enterprise knowledge graph lands, look at how blockchain is helping companies smooth collaboration, consider disruptive ecosystems forming around CDWs, and introduce you to a new effort to improve the management and utility of business documents.

Our content technology news weekly will be out tomorrow as usual.

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From Flatland to HOG Heaven

Large-scale enterprise knowledge graphs (EKGs) are still a rare beast in enterprises in spite of their promise which is ably demonstrated by implementations at the largest tech companies. Mainstream scarcity of EKGs is understandable given the amount of change involved – both in how we think about information management problems, and of course in how we marshal the troops to plan and deploy. 

Dan McCreary takes you on an amusing journey through four lands with distinct characteristics and cognitive styles, to help you envision the who and what you need to reach HOG (Hardware Optimized Graph) Heaven. 

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How blockchain can simplify improve collaboration and simplify partnerships

There are many potential applications for blockchains and enterprises in multiple industries have built private blockchain applications. Information sharing and collaboration are areas where most organizations could benefit from blockchains. This non-technical Harvard Business Review article takes you through some of the ways blockchain is being used to significantly improve collaboration, and what to watch out for in practice.

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Will Snowflake be the next great platform?

Gabriel de Vinzelles suggests it will, and as an investor is looking at the evolving ecosystem around cloud data warehouses (CDWs), and the startups who are looking to “rebuild many product categories such as Data Ingestion, Data Transformation, Data Governance, Data Quality, etc.”. There is certainly a lot of opportunity here, especially for unstructured data based on inquiries we see.

Of course Snowflake is not the only CDW and Vinzelles isn’t only talking about them. The ecosystems around other CDWs will also be disrupted by the same, or similar companies he is tracking.

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Docugami

Documents have always been the problem child of information management because of the infinite varieties of content, structure, format, and the relationships between them. Even with the advances in machine learning, natural language processing, and graph databases we struggle with the complexity and and cost of managing documents and their content. But the combination of these technologies can help, and that is startup Docugami’s goal. Their product is in semi-stealth mode, but this TechCrunch interview with Docugami Co-founder Jean Paoli will give you an idea of what they are up to, and why we refer to “docs vs cats” in this issues’ subject line.

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Also worthy

• Why are Warby Parker clones imploding?, VCs, second acts… via Marker
  
• Taxonomies: connecting users to content, what it means… via Boxes and Arrows
  
• Nielsen Norman’s annual 10 best intranets of 2021: what makes them great, via Nielsen Norman Group
  
• Leveraging Outlook… Escalating the desktop war, Microsoft embraces the Web, via Mac O’Clock 

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The Gilbane Advisor is curated by Frank Gilbane for content technology, computing, and digital experience professionals. The focus is on strategic technologies. We publish more or less twice a month except for August and December. We also publish curated content technology news weekly We do not sell or share personal data.

Subscribe | Feed | View online | Editorial policy | Privacy policy

Content technology news | Contact

In this issue we have recommended reading on creating a modern data workspace, enterprise search & AI, enterprise AI trends, no-code / low-code companies, Medium’s latest pivot, Facebook’s new publishing platform plan, and Wikipedia getting the big guys to pay.

Our content technology news weekly will be out Wednesday as usual.

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Decoding the no-code / low-code startup universe and its players

No-code and low-code companies are sprouting up everywhere and whatever your initial impression has been, it’s time to consider their increasing utility and role in even complex application development environments. No-code / low-code can democratize and speed development by bringing business analysts and software developers closer together. Pietro Invernizzi and Ben Tossell have put together a very helpful resource looking at 145 companies with lots of detail and access to an Airtable spreadsheet. (Click the image for a version you can read)

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We failed to set up a data catalog 3x. Here’s why

Prukalpa Sankar generously and delightfully describes what she and her team learned from multiple attempts at creating a “modern data workspace”. Some of you will be familiar with the problems and lessons, but the approaches, tools used, and specific examples, will still be instructive.

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When explainable AI meets enterprise search

Lack of transparency in AI is in general an unsolved problem even though there is obviously huge value in its application across domains. Martin White has some thoughts and advice on what this means for enterprise search.

Enterprise search presents a special challenge when it comes to AI transparency. Most other enterprise processes are close to linear in execution, so the impact of AI on performance can be relatively easily assessed and monitored. In the case of search, every query is a new workflow as it is dependent on the knowledge of the individual and the intent behind their search.

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The mess at Medium

Lots of activity in the independent writing/publishing platform space recently: the Substack Pro controversy, Twitter’s acquisition of Revue, Facebook’s announcement of a new platform for independent writers, and Medium’s latest pivot. None of these companies has figured out a sustainable business model, and none provide writers a safe long-term way to control their brand and content. They can in some cases be supplemental marketing and delivery channels if you own and control your content and publishing capability however. 🙂

Casey Newton reports on the changes at Medium…

Medium’s original journalism was meant to give shape and prestige to an essentially random collection of writing, gated behind a soft paywall that costs readers $5 a month or $50 a year. Eleven owned publications covered food, design, business, politics, and other subjects… But in the end, frustrated that Medium staff journalists’ stories weren’t converting more free readers to paid ones, Williams moved to wind down the experiment…

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Also worthy

• Facebook’s new platform… Supporting independent voices, via Facebook
  
• Great free teaser content as usual… Enterprise AI trends to watch In 2021 via CBInsights
  
• Wikipedia Enterprise… Wikipedia Is finally asking big tech to pay up via Wired
  
• Long but worthy article by Tim O’Reilly on the bigger picture… The end of Silicon Valley as we know it? via O’Reilly Radar

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The Gilbane Advisor is curated by Frank Gilbane for content technology, computing, and digital experience professionals. The focus is on strategic technologies. We publish more or less twice a month except for August and December. We also publish curated content technology news weekly We do not sell or share personal data.

Subscribe | Feed | View online | Editorial policy | Privacy policy

Content technology news | Contact

In this issue we look at enterprise knowledge graph semantics, how to move to a distributed data mesh, a helpful case study on UX improvements, “best-of-breed” stacks, and personal data privacy, first party ads, and consumer contradictions.

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A definition of “Enterprise” in EKGs

Enterprise knowledge graphs are on the rise, but terminology and even conceptual understanding is inconsistent. Dan McCreary’s article is a good place to start to organize your own thoughts before diving in…

Many people co-mingle the terms from open linked data world and the semantic web stack’s role with the concepts related to sustainability and scalability of enterprise knowledge graphs.

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How to move beyond a monolithic data lake to a distributed data mesh

If you haven’t yet had a reason to develop a complete understanding of what a distributed data mesh is, or how it relates to looking at data as a product for multiple enterprise functions, there is a good chance you will before long. Some familiarity will be important for many roles beyond pure data management. This in-depth article by Zhamak Dehghani covers the why and how, and likely answers most questions you have.

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Quantifying UX improvements

Nielsen Norman Group’s Kate Moran presents a case study, with before and after screen shots and metrics, illustrating how an informed information architecture can increase customer self-service and improve both customer experience and sales efficiency.

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Best-of-breed stacks

Debates on the relative merits of vendor suites versus best-of-breed application solutions have been going on for decades. The data was scarce and questionable, the arguments “qualitative”, and the conclusions invariably “it depends…”.

Scott Brinker has a lot to say about today’s version of this debate with the more complicated and flexible software architecture options available. For his latest post on the topic he came up with a great way to apply some neutral data to his view that stacks are growing and increasingly best-of-breed.

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Also, on personal data, privacy, ads…

• The jury is out on FloCs… Building a privacy-first future for web advertising, via Google Ads & Commerce Blog
  
• Building your own first-party solution… To serve better ads, we built our own data program via NYT Open Blog
  
• Yes, we’re fickle with trust IRL… Data from Entrust reveals contradictions in consumer sentiment toward data, via Entrust
  
• Not easy, but worth the effort… Ethics as a service: a pragmatic operationalisation of AI Ethics, via SSRN
  
• An independent look… Facebook’s Misleading Campaign Against Apple’s Privacy Policy, via HBR

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The Gilbane Advisor is curated by Frank Gilbane for content technology, computing, and digital experience professionals. The focus is on strategic technologies. We publish more or less twice a month except for August and December. We also publish curated content technology news weekly We do not sell or share personal data.

Subscribe | Feed | View online | Editorial policy | Privacy policy

Content technology news | Contact

The rise of the time-series database

This certainly caught me off guard. Graph databases have been leading the popularity contests for the last five or six years, but in the last twenty four months Time Series databases have leapt ahead, as this DB-Engines chart dramatically demonstrates. Peter Wayner looks at why.

Medium is adding ebooks to its business

Business models based on being both a publisher and a platform have always been fraught. In some ways Medium has managed this better than most. They just acquired “social ebook platform” Glose, but it’s not clear how this fits into their platform/publisher model. One clue may be Ev Williams’ earlier statement that Medium’s…

top-line metric is “TTR,” which stands for total time reading. It’s an imperfect measure of time people spend on story pages. We think this is a better estimate of whether people are actually getting value out of Medium.

But in a short post about the acquisition Williams says they “are not planning to bundle books into Medium Membership, though there could be book-related benefits. TBD.”

Ethical issues in privacy, advertising and machine learning

Informed and interesting interview with Oxford philosopher Dr. Carissa Véliz. Don’t worry, this is not a long dry treatise, but an engaging and accessible discussion that does not require a technical or philosophical background.

Facets of faceted search

Both search engine developers and users treat facets as useful for refining broad search queries. But there’s a tendency to conflate broad queries with ambiguous queries. There’s an important distinction between the two.

Fortunately, we have the ever-reliable Daniel Tunkelang to explain.

Also…

• If you need to get caught up… The decentralized internet is coming, sometime? via Protocol Source Code
• Fun version… Web conversations with the year 2000, and serious version follow-up… Web conversation from the other side, via Paul Ford
• Ethereum seems to be having a moment, and not only in ETH… The Ethereum 2.0 Beacon Chain is here. Now what? via Consensus
• NLP just keeps on giving… Natural language predicts viral escape …via MIT Technology Review

The Gilbane Advisor is curated by Frank Gilbane for content technology, computing, and digital experience professionals. The focus is on strategic technologies. We publish more or less twice a month except for August and December. We also publish curated content technology news weekly We do not sell or share personal data.

Subscribe | Feed | View online | Editorial policy | Privacy policy

Content technology news | Contact