SDL announced it has advanced its partnership level with Veeva Systems (“Veeva”), supporting the product life cycle for pharmaceutical and Life Sciences companies. SDL Translation Management System (TMS) is integrated with the Veeva Vault RIM Suite, a cloud-based Regulatory Information Management (RIM) system. In the biopharmaceutical sector, companies must react quickly to complex regulatory updates across multiple regions. The combination of SDL’s network of in-house certified medical translators with SDL’s translation management technology provides an integrated set of translation capabilities within Veeva Vault RIM. This integration enables Veeva Vault RIM customers to automate multilingual tasks relating to regulatory document submissions, engagement with health authorities and product registration. SDL joined Veeva Systems’ Technology Partner Program in 2018. https://www.sdl.com
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Amazon Web Services announced the general availability of Amazon Kendra, an enterprise search service. Amazon Kendra uses machine learning to enable organizations to index all of their internal data sources, make that data searchable, and allow users to get precise answers to natural language queries. When users ask a question, Amazon Kendra uses finely tuned machine learning algorithms to understand the context and return the most relevant results, whether that be a precise answer or an entire document. For example, businesses can use Amazon Kendra to search internal documents spread across portals and wikis, research organizations can create a searchable archive of experiments and notes, and contact centers can use Amazon Kendra to find the right answer to customer questions across the complete library of support documentation. Amazon Kendra requires no machine learning expertise and can be set up completely within the AWS Management Console. Amazon Kendra provides a wide range of native cloud and on-premises connectors to popular data sources such as SharePoint, OneDrive, Salesforce, ServiceNow, Amazon Simple Storage Service, and relational databases.
Adobe and ServiceNow announced the availability of its partnership integration connecting data from Adobe Experience Platform and ServiceNow’s Customer Service Management workflow product to enable more seamless, connected customer experiences. Connecting Adobe Experience Platform, its Customer Experience Management (CXM) platform, and ServiceNow’s Customer Service Management product provides brands with a more complete view of the customer. Through this integration, Adobe and ServiceNow joint customers can:
- Establish Context to Drive Brand Loyalty
Enterprises are often challenged by navigating internal silos of data pertaining to interactions with their customers. This integration creates data workflows that removes those barriers and connects marketing and customer service organizations. - Gain Deeper Insights for Personalization
Great experiences are built on the understanding of a customer’s journey. Customers can streamline work between teams by aggregating data during the “evaluate” and “purchase” touchpoints, and capture service interactions to ultimately build rich, real-time customer profiles. - Improve Customer Experiences
A seamless customer experience allows for anticipating needs before they arise. With ServiceNow, organizations will understand which products or services the customer owns and uses, allowing organizations to drive towards greater personalization.
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.
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
Also…
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Should be important… Solution for IoT Interoperability – W3C Web of Things (WoT) via W3C
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Good… ICANN rejects transfer of control of .org to Ethos Capital. via ICANN
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Sexy Markdown… MDJS markup language adds JavaScript to Markdown for interactive documentation via InfoQ
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While we’re waiting for AR… Niantic buys 6D.AI as battle to own the AR cloud begins via Tech.Pinions
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. Subscribe | Feed | View online | Privacy policy | Editorial policy |
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Content and MarTech vendor subway maps
In 2008 Tony Byrne came up with the idea of a “subway map” as a useful and fun way to illustrate the content technology vendor landscape. He has updated the map every year to incorporate the shifting landscape, sprawling growth, adjacent technologies, and of course the renaming and repositioning by vendors and market analysts.
In this article, he shares all 12 subway maps and his thoughts on the changes each year. History is always relevant. A good read. Read More
Scroll, Firefox and ad-free news
Though their impact may be small, at least to start, the business model is interesting. Read More
RealWorld framework comparison
Handy up-to-date info for front-end-developers. Comparing performance, size, and lines of code implementing Conduit. Read More
The end of Starsky Robotics
This is a cautionary tale of what can happen when an enthusiastic founder and hungry investors crank each other up without guarding against mutually assured destructive confirmation bias, and don’t do enough serious due diligence. This scenario is unfortunately common, though often with enough funding/time/expert support a pivot or two can prevent disaster.
In this particular case, the problem was a naive expectation of what machine learning could, or would soon be able to, accomplish. Even the possibility of Artificial General Intelligence (AGI) is controversial among experts in the field. I only share this because Starsky’s founder and CEO Stefan Seltz-Axmacher had the courage to publish it. Kudos to him for sharing what happened, and providing enough detail for a valuable case study for entrepreneurship programs. Read More
Also…
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From the Working From Home department: new opportunities for oneupmanship… Videoconferencing etiquette via The Economist
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In case you’ve been procrastinating… Announcing mobile first indexing for the whole web via Google webmaster blog
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Great diversion while you’re at home “working”, as well as useful… Smithsonian Releases 2.8 Million Images Into Public Domain via Smithsonian Magazine
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Classic moral dilemma… Authors fume as online emergency library project “lends” unlimited free books via The Verge
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. We do not sell or share personal data. Subscribe | Feed | View online | Privacy policy | Editorial policy |
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IKEA sets a new privacy standard for marketers
Tim Walters reports on an impressive approach by IKEA to earn consumer’s trust, by doing rather than (just) promising. As Tim says, you should really watch the IKEA video description and demo with their delightfully down-to-earth Chief Digital Officer, Barbara Martin Coppola. Read More
Transfer Learning with T5: the Text-To-Text Transfer Transformer
Many of you are familiar with natural language processing (NLP) from the rule-based machine translation in the 80s to today’s more successful machine learning approaches. This post from the Google AI Blog describes a promising new Transfer Learning technique and openly available tools. Slightly technical with a link to the academic paper.
With T5, we propose reframing all NLP tasks into a unified text-to-text-format where the input and output are always text strings, in contrast to BERT-style models that can only output either a class label or a span of the input. Our text-to-text framework allows us to use the same model, loss function, and hyperparameters on any NLP task, including machine translation, document summarization, question answering, and classification tasks (e.g., sentiment analysis). Read More
The new business of AI (and how it’s different from traditional software)
Martin Casado and Matt Bornstein from Andreessen Horowitz wrote a thoughtful piece for AI startups and investors on the differences between the business models of AI companies and software companies. As investors they have a particular interest in the margin potential look at the resources and costs associated with each. My take is that is that they have identified a difference of degree rather than of kind, at least in the case of enterprise software applications, which have similar scaling, “humans in the loop”, interoperability, custom development, and support requirements. Large scale content management systems and “digital experience platforms” are examples. In any case, this is a good read, and all the authors’ recommendations should also be considered by traditional enterprise software companies :). Read More
Update on technology transformations
McKinsey reports on enterprise’s view and appetite for continued technology transformation. Tldr; it’s hard but showing benefits, and competitiveness demands its continuation. Read More
Also…
- You can probably guess some of this, but there’s lots of rich data… Where Wikipedia’s editors are, where they aren’t, and why via The Atlantic
- It’s complicated and expensive… The messy, secretive reality behind OpenAI’s bid to save the world via MIT Technology Review
- You shouldn’t be surprised… Why Catalogs Are Making a Comeback via Harvard Business Review
- Would be nice to increase access to data while maintaining trust… Alternative data: exploring the ethical implications via Open Data Institute
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. We do not sell or share personal data.
Mapping workplace collaboration startups
Merci Victoria Grace provides a very useful breakdown of the current workplace collaboration space. As an investor her interest is in opportunities, but her insights also inform enterprise strategists and buyers considering not just products, but use cases. Read More
Apple’s ‘Finger Devices’: wearable computing’s next big thing?
CB Insights reports on a new patent application from Apple. While “next big thing” is bit over-enthusiastic, they are right that it has potential as a core component of Apple’s coming wearable computing ecosystem.
While other patents have explored the use of fingers and virtual interfaces and feedback systems, this patent appears the first to contemplate the finger as the seat of a full-fledged computing device — containing a full battery of sensors, input and output systems, and the capacity to interact with other devices in different categories. Read More
Lumping and Splitting in Taxonomy
Taxonomies are often avoided because they are complex and require nurturing. Michael Andrews on why they are a necessary information technology…
Classification is the bedrock of algorithms: they drive automated decisions. Yet taxonomies are human designed. Taxonomies lack the superficial impartiality of machine-oriented linked data or machine learning classification. But taxonomies are useful because of their perceived limitations. They require human attention and human judgment. That helps make data more explainable. Read More
As Google Chrome crumbles the third-party cookie, what’s next for adtech?
Aside from the obvious boost for first-party data – where the legit value has always been – there are a number of questions on how and when this will all play out. The Drum collects some thoughts from adtec insiders. Read More
Also…
- Accuracy is between 59-79%, not 90%… AI still doesn’t have the common sense to understand human language via MIT Technology Review
- And why?… Deep learning, Kant, and Locke… GPT-2 and the Nature of Intelligence via The Gradient
- Benedict Evans’ annual presentation on tech industry macro trends Tech in 2020 via Benedict Evans
- The W3C Web of Things (WoT) Working Group wants comments on their efforts to enable interoperability across IoT platforms and application domains. via W3C
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. We do not sell or share personal data.
Dear Reader:
We have updated our privacy policy to include information about support for California’s CCPA and encourage you to read it. If you don’t have the time right now there is a link at the bottom of every issue of this newsletter and on every page on our web site. Note that we do not sell or share personal data.
Lessons from the failed chatbot revolution
“… and 5 industries where the tech is making a comeback.” This free report from CB Insights nails the story of the crazy hype and why some chatbots are succeeding. Read More
This page is designed to last
Jeff Huang, in his Manifesto for Preserving Content on the Web, asks “How do we make web content that can last and be maintained for at least 10 years?”. It doesn’t sound like much of a challenge, but as someone with a 20+ year old website he didn’t need to convince me. Keeping up with varying life-cycles of web development tools, design trends, and links to sites no longer functioning, is not for everyone. And depending on platforms designed for non-developers is too risky for 10+ years. There is no simple solution but Professor Huang’s article has some suggestions for both tool developers and site managers. Read More
Open federal grant data is the default in the U.S.
Congress has quietly made an open, license-free identifier for the recipients of federal grants the default option for agencies in the United States. While truly open grant data is not mandatory, every agency must now decide whether to use non-proprietary identifiers or not. Read More
83% of marketers rip-and-replace a martech app each year
Scott Brinker highlights findings of a recent research report (link to full report included) on what martech applications are being replaced and why. While 83% will sound scary if you’re a vendor, remember how many martech apps there are. Also, about half the replacements were for custom in-house systems. (CMS vendors will be relieved to hear that only 4% of commercial CMSs were replaced, lower than most categories). Scott also notes that better integration was tied with better features and cost reduction as the top reason for replacement. Of course better integration directly affects operational costs and makes additional features possible. Read More
Also…
- Excellent resource… The AI Index 2019 Annual Report via Stanford University
- Important to support this. ICANN’s founding chairman joins the battle to keep .org out of private hands Good for you @edyson! via The Verge
- India’s going big with data privacy… India’s About to Hand People Data Americans Can Only Dream Of via Bloomberg
- tl;dr federated learning. How Apple personalizes Siri without hoovering up your data via MIT Technology Review
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. We do not sell or share personal data.