The Gilbane Advisor

Curated for content, computing, and digital experience professionals

Gilbane Advisor 10-5-22 — structured content, zero knowledge, search

This week we feature an article by Carrie Hane.

Additional reading comes from Rachel Andrew, and Elena Burger, Bryan Chiang, Sonal Chokshi, Eddy Lazzarin, Justin Thaler & Ali Yahya.

News comes from Adobe, Veryfi, AtScale, and Grammarly.

If you’ve missed any of the past 58 issues you can see them here; those, as well as all earlier issues can be found here.


Opinion / Analysis

Structured content 101

Many of you don’t need an explanation of structured content or its value potential, but you’ll appreciate Carrie Hane’s effort to educate a broader audience of content-focused and business professionals that do. Her guide might also facilitate communication and collaboration between content pros and data science colleagues. (14 min).

https://www.sanity.io/structured-content

More Reading

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Content technology news

Adobe updates Photoshop Elements and Premiere Elements

The new releases incorporate new Adobe Sensei AI-powered features to enable streamlined editing, step-by-step Guided Edits to help beginners.
https://gilbane.com/2022/09/adobe-updates-photoshop-elements-and-premiere-elements/

Grammarly announces general availability of its Text Editor SDK

Grammarly for Developers allows builders to easily add grammar checking and real-time writing support into their web or desktop applications.
https://gilbane.com/2022/09/grammarly-announces-general-availability-of-its-text-editor-sdk/

Veryfi offers free platform to transform documents into structured data

Companies can turn unstructured documents into structured data can add AI-driven OCR capabilities to their apps without typical startup costs.
https://gilbane.com/2022/09/veryfi-offers-free-platform-to-transform-documents-into-structured-data/

AtScale adds enterprise AI capabilities to semantic layer platform

New capabilities support developer productivity and business adoption to accelerate the deployment of Data-Centric enterprise AI.
https://gilbane.com/2022/09/atscale-adds-enterprise-ai-capabilities-to-semantic-layer-platform/

All content technology news


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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Grammarly announces general availability of its Text Editor SDK

Grammarly announced the general availability of the Grammarly Text Editor SDK (software development kit). The first offering from Grammarly for Developers, the Text Editor SDK enables integration of Grammarly’s AI communication assistance into any web or desktop application. The SDK makes it easy to integrate Grammarly’s writing suggestions so end users feel confident in their communication. The release also includes new feature such as Tone detector, Autocomplete, Analytics dashboard, and Theming.

Grammarly for Developers offers an openly accessible, self-serve free plan, or developers can request access to two usage-based paid plans:

  • Free: Delivers unlimited grammar, punctuation, and spelling suggestions
  • Starter: Everything in Free plus the option to remove user prompts encouraging registration with their own Grammarly account
  • Plus: Everything in Starter plus Grammarly’s advanced features, including autocomplete, clarity-focused rewrites, and feedback on tone, engaging word choice, and inclusive language.

The Text Editor SDK includes everything developers need to get started and handles the entire experience, including displaying underlines and suggestion cards, applying text transformations, and managing all communication between applications and Grammarly’s cloud services. The SDK supports a full range of English-language dialects and is available for JavaScript, React, Vue, and applications powered by Electron.

https://developer.grammarly.com

Adobe updates Photoshop Elements and Premiere Elements

Adobe announced Photoshop Elements 2023 and Premiere Elements 2023, including all-new features that make creative photo and video editing simple for users at any skill level. The releases incorporate new Adobe Sensei AI-powered features to enable intuitive, streamlined editing, and offer step-by-step Guided Edits that everyone from beginners to advanced users will appreciate. Going beyond the desktop app, Elements 2023 also offers a connected experience with new web and mobile companion apps (English-only beta) that ease on-the-go photo and video access, viewing and sharing. Some of the many innovative new features in Elements 2023 include:

  • AI advancements for photos and videos let you add Moving Elements to photos, so you can bring a touch of movie magic to waterfalls, clouds and backgrounds in still images, then save in social-ready formats including MP4 (videos) and GIFs (animated photos); Artistic Effects inspired by popular art styles let you transform entire video clips with one click. 
  • Enjoy on-the-go access with the new mobile companion app to upload to the cloud, streamlining your creation.
  • Do more from any browser by using the new web companion app (English-only beta) to share and view edited photos and videos, and create photo collages and multimedia slideshows.

https://news.adobe.com/news/news-details/2022/Media-Alert-Adobe-Unveils-Photoshop-Elements-and-Premiere-Elements-2023-with-Faster-Easier-Photo-and-Video-Editing/default.aspx

AtScale adds enterprise AI capabilities to semantic layer platform 

AtScale, a provider of semantic layer solutions for modern business intelligence and data science teams, announced new product capabilities for organizations working to accelerate the deployment of enterprise artificial intelligence (AI). These new capabilities leverage AtScale’s position within the data stack with cloud data warehouse and lakehouse platforms including Google BigQuery, Microsoft Azure Synapse, Amazon Redshift, Snowflake, and Databricks. The AtScale Enterprise semantic layer platform now incorporates:

  • Semantic Predictions – Predictions generated by deployed AI/ML models can be written back to cloud data platforms through AtScale. These model-generated predictive statistics inherit semantic model intelligence, including dimensional consistency and discoverability. Predictions are immediately available for exploration by business users using BI tools (AtScale supports connectivity to Looker, PowerBI, Tableau, and Excel) and can be incorporated into augmented analytics resources.
  • Managed Features – AtScale creates a hub of centrally governed metrics and dimensional hierarchies that can be used to create a set of managed features for AI/ML models. AtScale managed features inherit semantic context, making them more discoverable and easier to work with. Managed features can now be served directly from AtScale, or through a feature store like FEAST, to train models in AutoML or other AI platforms.

https://www.atscale.com/product/ai-link/

Gilbane Advisor 9-28-22 — MLOps or no, Tabu search, practical NLP

This week we feature an article from Lak Lakshmanan.

Additional reading comes from Adam Langley, Fabio Chiusano, and Jing Huang, Mingang Fu, & Minghui Liu.

News comes from Apptek & expert.ai, Fivetran, Cloudflare, and Stardog & Databricks.

If you’ve missed any of the past 57 issues you can see them here; those, as well as all earlier issues can be found here.


Opinion / Analysis

No, you don’t need MLOps

Well you might. But either way Lak Lakshmanan provides lots to think, or re-think, about. (14 min).

MLOps started from a straightforward problem statement — that the technical debt associated with ML models becomes intolerable if the models are not adjusted over time to account for changes in the environment. Since that 2015 observation, ML models and frameworks have been built that make it relatively easy to avoid the most glaring potholes in the way of the ML practitioner. However, in the past year or so, the MLOps buzzword has taken on a life of its own. At this point, most things sold as MLOps are overkill and unnecessary for most teams.

https://lakshmanok.medium.com/no-you-dont-need-mlops-5e1ce9fdaa4b

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More Reading


Content technology news

Stardog joins Databricks Partner Connect

The integration means organizations can add a unified semantic layer atop Databricks to accelerate data analytics for more data-informed decisions.
https://gilbane.com/2022/09/stardog-joins-databricks-partner-connect/

Fivetran introduces Metadata API

Customers can integrate with governance and observability tools to give data teams more control over who has access to what data.
https://gilbane.com/2022/09/fivetran-introduces-metadata-api/

Apptek and expert.ai announce strategic partnership

To help companies augment intelligent automation by extending AI-based text analytics to audio content, even across multiple languages.
https://gilbane.com/2022/09/apptek-and-expert-ai-announce-strategic-partnership/

Cloudflare launches Data Localization Suite in Asia

To help businesses comply with data localization obligations by using Cloudflare to set rules and controls on data storage ad access.
.https://gilbane.com/2022/09/cloudflare-launches-data-localization-suite-in-asia/

All content technology news


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 | Contact

Veryfi offers free platform to transform documents into structured data

Veryfi launched a Free tier for its optical character recognition (OCR) application programming interface (API) platform. Companies looking to turn unstructured documents into structured data can quickly add AI-driven OCR capabilities to their apps without typical startup costs.

Developers can use their free account forever without fear of losing their work, without feature limitations, and without requiring a credit card. The only limit is the number of documents that developers can submit to the OCR API platform of 100 for the initial 14 days and then 50 per month. When ready, it’s easy to transition to a Starter account plan via self-service.

Veryfi enables organizations to capture, extract and transform documents such as receipts, invoices, purchase orders, checks, credit cards, and W-9 forms into structured data. Veryfi uses AI/ML technology, trained by hundreds of millions of documents over the past five years, to extract data and transform it into a structured format for 85 currencies, 39 languages, and over 110 defined fields such as vendor, total, bill to/ship to, purchase order and invoice numbers, any line item (product name, SKU, description), and taxes, which can then be accessed for other business applications.

https://www.veryfi.com

Apptek and expert.ai announce strategic partnership

AppTek and expert.ai announced they have entered into a strategic technology partnership to bring AI-based text analytics to dynamic audio content in multiple languages. The partnership leverages AppTek’s Automatic Speech Recognition (ASR) and Neural Machine Translation (NMT) technologies with expert.ai’s natural language understanding capabilities to enable organizations to leverage audio content in the unstructured data sets that they manage for improving decision making and augmenting intelligent automation.

As organizations increasingly utilize language data—emails, documents, reports and other free form text— for an ever-growing range of enterprise use cases (knowledge discovery, contract analysis, policy review, email management, text summarization, classification, entity extraction etc.), natural language capabilities will play a critical role in powering any process or application that relies on unstructured language data. The combined capabilities of AppTek and expert.ai supercharge enterprise and government NLU and NLP applications, expanding the data types and sources available for analysis to provide even more informational output.

Using AppTek’s speech-to-text technology within the expert.ai Platform, organizations can automatically transcribe audio types from different sources, including high-quality media broadcast content, podcasts, meetings, one-to-one interviews or even low bandwidth telephone conversations. In addition, they can leverage advanced multilingual functionalities to generate accurate, customizable and scalable translations across hundreds of language pairs.

https://www.apptek.com/https://www.expert.ai/

Stardog joins Databricks Partner Connect

Stardog, an Enterprise Knowledge Graph platform provider, today announced it had joined Databricks Partner Connect, which lets Databricks customers integrate with select partners directly from within their Databricks workspace. Stardog is the first Databricks partner to deliver a knowledge-graph-powered semantic layer. Now with just a few clicks, data analysts, data engineers, and data scientists can model, explore, access, and infer new insights for analytics, AI, and data fabric needs — an end-to-end user experience without the burden of moving or copying data. Together, Stardog’s availability on Databricks Partner Connect enables joint customers to:

  • Easily define and reuse relevant business concepts and relationships as a semantic data model meaningful to multiple use cases.
  • Link and query data in and outside of the Databricks Lakehouse Platform to provide just-in-time cross-domain analytics for richer insights.
  • Ask and answer questions across a diverse set of connected data domains to fuel new business insights without the need for specialized skills.

https://www.stardog.comhttps://www.databricks.com/partnerconnect

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