From the Microsoft 365 blog…
This month, we’re adding features across Microsoft 365 to improve accessibility, support flexible workstyles, streamline routine tasks, and offer more ways to make your voice heard. We’re also launching new capabilities in Windows 11 and Windows 365 to help make hybrid work easier.
Notification overload can be disruptive, especially for employees with conditions like autism and ADHD. We’ve been working to cut down the noise by providing more ways to customize which notifications Microsoft Teams shows you and when, and added capabilities to improve reading and writing like text prediction options, voice control tools, and accessible authoring features.
The To Do Windows app now supports smart recognition of due dates, reminders, and repeat information from the task title, and you can simply use natural language.
With Windows 365, employees can stream their entire Windows experience from the Microsoft Cloud, and we have started adding support for multiple work and personal accounts on Microsoft 365 web apps in the same browser, enabling you to switch between the accounts with a single click.
New capabilities like automatic framing, voice clarity, background blur, and eye contact create more natural hybrid meeting experiences. Live captions provide a more inclusive hybrid work environment for the deaf or hard-of-hearing communities, and language learners.
Searchable.ai announced Constellation, their unified data platform that brings together all the data and information that knowledge workers and teams need in one place. While Searchable.ai initially focused on unifying data and information from files, such as those created with Microsoft Office and Google Workspace apps, as well as PDFs, Constellation makes it possible to unify user-inputted SaaS data. Structured information from Jira tickets and Trello cards, for example, as well as conversations in apps like Slack, can now be searchable and shareable. Additionally, Constellation’s Live Sync technology means data is constantly being updated and refreshed, so users always have access to the latest information.
Constellation supports an unlimited amount of data and is engineered with enterprise-grade security. Eventually, Searchable.ai will enable developers to access the Constellation framework for their own apps and services, including corporations who may want to ingest this data into their own repositories.
For now, Searchable.ai will leverage Constellation to extend its end-user capabilities beyond search. The company will soon be releasing Collections, a way for users to assemble groups of files, email, and cloud data in a central space where others can add, find, and access what they need for their work.
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.
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.
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.com ■ https://www.akamai.com
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.
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.
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.