Curated for content, computing, and digital experience professionals

Year: 2022 (Page 6 of 27)

Optimizely announces Orchestrate

Optimizely, a digital experience platform (DXP) provider, announced its new Orchestrate solution, combining its three products: Content Marketing (CMP), Content Management (CMS), and Digital Asset Management (DAM), into a comprehensive offering. The Orchestrate solution transforms the way marketing teams work by letting them manage the entire content lifecycle and deliver better digital experiences faster.

Optimizely’s new product integration will break down complexities and siloes, producing more efficient content experiences and allowing marketers to publish more strategic, individualized content, faster. Orchestrate enables the CMS to combine upstream content creation processes with downstream publishing capabilities through a unified solution for the entire content lifecycle, allowing teams to:

  • Plan & collaborate – Build campaign plans, propose ideas, assign tasks, and schedule work to be completed
  • Create, preview, & publish – Create content, preview drafts, and publish to the CMS—all from one centralized platform that’s purpose-built for marketers’ needs
  • Manage across channels – Manage content in one place and power digital experiences across any mix of channels and technologies
  • Store & access – Easily repurpose content by dragging-and-dropping from a full media library directly from within the context of the CMS page builder
  • Target & personalize – Test different versions of content, identify customer segments, and customize content experiences.

https://www.optimizely.com

Confluent launches Stream Governance Advanced

Confluent, Inc., a data streaming provider, announced a new capabilities for Stream Governance, a managed governance suite for Apache Kafka and data in motion. With Stream Governance Advanced, organizations can resolve issues within complex pipelines easier with point-in-time lineage, discover and understand topics faster with business metadata, and enforce quality controls globally with Schema Registry. With more teams able to safely and confidently access data streams, organizations can build critical applications faster. New capabilities include:

  • Point-in-time playbacks for Stream Lineage: Troubleshooting complex data streams is now faster with the ability to understand where, when, and how data streams have changed over time. Point-in-time lineage provides a look back into a data stream’s history.
  • Business metadata for Stream Catalog: Improve data discovery with the ability to build more contextual, detail-rich catalogs of data streams. Alongside tagging, business metadata gives individual users the ability to add custom, open-form details represented as key-value pairs to entities they create such as topics.
  • Exploring the catalog is now easier with GraphQL API.
  • Globally available Schema Registry for Stream Quality: With global availability of Schema Registry to 28 regions, teams have flexibility to manage schemas alongside their Kafka clusters to maintain compliance requirements and data sovereignty.

https://www.confluent.io

Elastic announces updates to search platform

Elastic announced updates across the Elastic Search Platform, a data analytics platform for search-powered solutions, including:

  • Simplifying the Elastic Cloud on AWS Experience Enabling customers to ingest data from any AWS service into Elastic Cloud on AWS directly from the AWS Marketplace with just three clicks.
  • Improving search relevance with machine learning-based hybrid scoring
  • Combining traditional keyword scoring with vector search scoring capabilities.

They also announced plans to develop stateless Elasticsearch, a new, fully cloud-native architecture. The stateless architecture will fully decouple compute and storage services, enabling customers to store and search all of their data in stateless object storage services such as Amazon S3, Azure Blob Store, and Google Cloud Storage.

A private beta version of a new Universal Profiling and additional synthetic monitoring capabilities to provide visibility into how application code and infrastructure are performing at all times, in production and across a wide range of languages, in both containerized and non-containerized environments was introduced, as well as a new managed testing infrastructure within Elastic Uptime to enable customers to schedule tests from a global network of testing agents for greater visibility into regional variances, also in beta.

https://www.elastic.co

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.

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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

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