The Gilbane Advisor

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Expert.ai updates AI-based natural language processing platform

Expert.ai announced the new release of its platform combining symbolic, human-like comprehension and machine learning to turn language into data, analyze and understand complex documents, accelerate intelligent process automation and improve decision making. By extending core features and adding unique capabilities, such as out of the box knowledge models and connectors, the new release increases flexibility, simplifies integration and optimizes data pipelines to augment efficiency across every process that involves natural language (NL).

Specifically designed for natural language AI, the expert.ai platform leverages the combination of different AI techniques (machine learning and rule-based symbolic comprehension) with a simple and powerful authoring environment to support the full natural language processing workflow. It is based on the principle that no single natural language AI technique is a fit for every project. The new release includes:

  • ‘Smarter from the start’ knowledge models deliver NL applications to production faster with higher levels of business accuracy
  • Simplified deployment processes across multiple environments, including Azure
  • Easier integration, out of the box connectors
  • Enhanced natural language operations: provides the ability to include custom Python and Java scripts or third-party services for pre- or post-processing activities in NL workflow orchestrations.

https://www.expert.ai

Hyland expands infrastructure to deploy OnBase and Brainware customers on AWS

Hyland, a content services provider, has expanded its work with Amazon Web Services (AWS) to support the increased cloud deployment and migration needs from its customer base. Working with AWS, Hyland will expand its Hyland Cloud infrastructure to deploy new OnBase and Brainware cloud customers and cloud migration environments in North America on the appropriate AWS Region – fully supported and managed by Hyland’s technical experts.

The strengthened relationship with AWS delivers an expansive infrastructure footprint for the Hyland Cloud, allowing Hyland to meet customer requirements with agility and scale, while providing a more flexible architecture that supports customers’ evolving information technology (IT) and business challenges. Backed by innovative technologies, security-driven policies and dedicated support from knowledgeable technology experts, customers deploying Hyland’s software-as-a-service (SaaS) and platform-as-a-service (PaaS) offerings on AWS benefit from its continued focus on cloud innovation and support for next-generation cloud solutions.

https://www.hyland.com/en/innovation/hyland-cloud

Akamai launches Linode managed database

Akamai Technologies Inc., launched a managed database service powered by Linode with support for MySQL, PostgreSQL, Redis, and MongoDB. Akamai’s Linode Managed Database simplifies database deployment, helping developers reduce risk, increase efficiency, and minimize the complexity that comes with manual management of production database clusters.

The launch of Linode Managed Database service marks Akamai’s first product launch in its compute line of business following its acquisition of Linode in March of this year, to further its mission to develop a distributed compute platform from cloud to edge.

With Akamai’s Linode Managed Database service, users can defer common deployment and maintenance tasks to Linode and elect high availability configurations to ensure that database performance and uptime are never affected. The result: less hands-on management expertise is required to deploy applications and a decreased risk of downtime compared to manual management.

At launch, Akamai will offer Linode Managed Database for MySQL in all of Linode’s 11 global data centers, with support for PostgreSQL, Redis, and MongoDB to follow in the second quarter of 2022. With each supported managed database, customers can take advantage of features such as flat-rate pricing, security and recovery measures, flexible deployment options, and high availability cluster options.

https://www.linode.comhttps://www.akamai.com

Databricks announces lakehouse offering for media and entertainment

Databricks launched a lakehouse platform for data-driven businesses in the media and entertainment industry. The Lakehouse for Media & Entertainment enables organizations across the media ecosystem to deliver better data and AI outcomes for consumers, advertisers and media partners with a single and collaborative platform for data, analytics, and AI. Databricks is also working with Amazon Web Services (AWS) and industry partners like Cognizant, Fivetran, Labelbox and Lovelytics.

With use case accelerators, custom Brickbuilder Solutions and a partner ecosystem, businesses will be able to deliver a personalized consumer experience, prepare for consumer analytics, and provide collaboration and secure data sharing among media teams. The Lakehouse for Media and Entertainment incorporates data solutions and accelerators for use cases like AI-driven recommendation engines, customer lifetime value and churn, quality of experience, community toxicity analysis, and advertising optimization.

With Databricks, organizations can leverage all of their data to build a holistic view of their audience and advertisers, make real-time decisions and drive innovation with advanced analytics. With business intelligence (BI), and AI capabilities on all data types, Databricks enables media organizations to use all of their data – including images, video and other unstructured data types – to develop a holistic understanding of their customers.

https://databricks.com/company/newsroom/press-releases/databricks-announces-lakehouse-offering-for-customers-in-the-media-and-entertainment-industries

Gilbane Advisor 4-20-22 — Future Twitter, secure blockchains

This week we feature articles from Ben Thompson and Jesus Rodriguez.

Additional reading comes from Pete Warden, Rand Fishkin, and Nature.

News comes from Adobe, dbt & Databricks, MongoDB & Google Cloud, Yext, and HeartCore.


Opinion / Analysis

Back to the future of Twitter

Ben Thompson has a proposal for Elon Musk, or anyone else willing to take the company private, on what to do with Twitter’s business model that is definitely worth a read. It is one of his weekly posts so not behind his paywall.

If you are familiar with the Bluesky project initially funded by Twitter, and now a separate organization, you might wonder why Thompson didn’t mention it. In response to a question on Twitter on how it differed he said his “proposal is much more technically feasible”. Maybe, maybe not, but his business case is more developed. (10 min)

https://stratechery.com/2022/back-to-the-future-of-twitter/

The paper that can change the foundations of all blockchain cryptography

The foundation of cryptographic techniques used in L1 and L2 blockchains is premised on the existence of one-way-functions. If a one-way-function exists for a given problem, then its cryptographically secured and, if not, its likely to be vulnerable to different attacks. However, so far it has been nearly impossible to prove the existence of one-way-functions. In their paper, researchers from Cornell University found an answer drawing parallels to an obscure area of computer science.

The math behind the paper is well beyond me, but Rodriguez provides an easily digestible description of why this is important (4 min).

https://medium.com/intotheblock/the-paper-that-can-change-the-foundations-of-all-blockchain-cryptography-6df9f077e9d3

All Gilbane Advisor issues

More Reading…


Content technology news

Adobe introduces Frame.io for Creative Cloud

With Frame.io for Creative Cloud, video editors and key project stakeholders are able to collaborate seamlessly in the cloud.
https://gilbane.com/2022/04/adobe-introduces-frame-io-for-creative-cloud/

dbt Labs announces availability on Databricks Partner Connect

Databricks users will now be able to get started with dbt Cloud from directly within the Databricks interface.
https://gilbane.com/2022/04/dbt-labs-announces-on-databricks-partner-connect/

MongoDB announces pay-as-you-go on Google Cloud

Google console integration will simplify discoverability, subscription, onboarding, and management of MongoDB Atlas when running on Google Cloud.
https://gilbane.com/2022/04/mongodb-announces-pay-as-you-go-on-google-cloud/

Yext updates platform

Updated functions include the Nebula algorithm, posting modernization, search merchandiser, connectors, listings, and navigation.
https://gilbane.com/2022/04/yext-updates-platform/

HeartCore upgrades content management system

New CMS version allows for centralized headless distribution of diversified content management and delivery (including PIM and DAM).
https://gilbane.com/2022/04/heartcore-upgrades-corporate-content-management-system/

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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Netlify Edge Functions accelerate web development at the edge

Netlify, a platform for modern web development, announced Netlify Edge Functions, bringing standards-based edge compute to Netlify’s development workflow. Developers can now build fast web experiences in less time, using Edge Functions to run dynamic content or even an entire application from the network edge without compromising performance. Built on Deno, an open source runtime, Edge Functions work out-of-the-box with new server-side features from existing web frameworks like Next.js, Nuxt, Astro, Eleventy, and SvelteKit as well as new edge-first frameworks like Hydrogen and Remix.

The recent macrotrend of edge computing has led to a wave of innovation at the network edge, but many of these new solutions are proprietary, don’t use popular programming languages, and don’t offer integrations with multiple web frameworks. As a result, edge compute has added substantial complexity to the software development lifecycle. Netlify Edge Functions were built to be an antidote, letting development teams avoid this tradeoff and, ultimately, deliver modern web experiences to market much faster.

Netlify’s suite of serverless capabilities – Netlify Functions, Background Functions, Scheduled Functions, and now Edge Functions – give developers the flexibility to apply compute where and when they need it. Netlify Edge Functions is now available in public beta.

https://www.netlify.com/blog/announcing-serverless-compute-with-edge-functions

Element announces Connector Portal, Unify Graph, and Advanced Joins

Element, a software provider in IT/OT data management for industrial companies, announced new functionality for simplified connections, knowledge graph-based modeling, and advanced joins. Together they increase flexibility and speed up model development for organizations seeking to deploy digital twins or pursue industrial transformation.

The Connector Portal provides access to pre-built connectors for a range of commonly-used data sources and consuming targets, speeding analytics projects by reducing manually establishing connections. The portal also provides a connector framework that developers can use to build their own custom connectors.

Unify Graph brings a knowledge graph approach to bear for mapping the complex data environments typical at most enterprises that data teams must operate across. It allows flexible data modeling spanning arbitrary dimensions such as processes, assets, organizations necessary for building effective digital twins. The graphs can be queried and explored within Unify or exported for consumption by graph database products such as AWS Neptune or Neo4j.

The Advanced Joins functionality enables users to combine data from various sources based on matching multiple relevant data fields and using matching approaches. The fuzzy matching approach is configurable and allows the user to specify a similarity threshold for deciding matches.

https://www.elementanalytics.com

dbt Labs announces availability on Databricks Partner Connect

Analytics engineering tool supplier dbt Labs announced the availability of dbt Cloud on Databricks Partner Connect. Databricks customers now have a fast and frictionless way to experience the benefits of dbt Cloud on the lakehouse. dbt has become popular for data transformation with demand largely driven by the industry-wide shift to cloud-based data platforms like Databricks. It enables data teams to transform data in-warehouse, and deploy analytics code following software engineering best practices.

Through Databricks Partner Connect, all Databricks users will now have the ability to quickly provision a new dbt Cloud trial that is pre-connected to their Databricks account. In just a few clicks, users will be set up with a dbt Cloud account – ideal for those looking to quickly get a feel for what the two can achieve together through a streamlined, pre-configured workflow. Also:

  • Databricks has developed a new, dedicated dbt-Databricks adapter, bringing an easier installation process and a more optimized performance.
  • Databricks Ventures participated as a strategic investor in dbt Labs’ Series D funding round in February 2022.
  • There are more than 1,000 members of the Databricks and Spark channel within the dbt Community Slack

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

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