Brionna  Bailey

Brionna Bailey

1626751987

Explore AI Builder Features in Microsoft Teams

In this feature overview video series, we highlight new capabilities included in the latest update to Microsoft Power Automate.

AI Builder functionalities are available in Microsoft Teams so that you can use AI in a Power Automate flow. Power Automate templates that use the AI Builder functionality will be available in Microsoft Teams.

#microsoft #artificial-intelligence #ai

Explore AI Builder Features in Microsoft Teams
Chet  Lubowitz

Chet Lubowitz

1595429220

How to Install Microsoft Teams on Ubuntu 20.04

Microsoft Teams is a communication platform used for Chat, Calling, Meetings, and Collaboration. Generally, it is used by companies and individuals working on projects. However, Microsoft Teams is available for macOS, Windows, and Linux operating systems available now.

In this tutorial, we will show you how to install Microsoft Teams on Ubuntu 20.04 machine. By default, Microsoft Teams package is not available in the Ubuntu default repository. However we will show you 2 methods to install Teams by downloading the Debian package from their official website, or by adding the Microsoft repository.

Install Microsoft Teams on Ubuntu 20.04

1./ Install Microsoft Teams using Debian installer file

01- First, navigate to teams app downloads page and grab the Debian binary installer. You can simply obtain the URL and pull the binary using wget;

$ VERSION=1.3.00.5153
$ wget https://packages.microsoft.com/repos/ms-teams/pool/main/t/teams/teams_${VERSION}_amd64.deb

#linux #ubuntu #install microsoft teams on ubuntu #install teams ubuntu #microsoft teams #teams #teams download ubuntu #teams install ubuntu #ubuntu install microsoft teams #uninstall teams ubuntu

How to Install Microsoft Teams on Ubuntu 20.04

Microsoft Reveals Need To Prioritise Skills To Maximise Value From AI

Microsoft India today released new research revealing that organisations that combine the deployment of AI with skilling initiatives are generating most value from AI. The topline findings of the research underscore that mature AI firms are more confident about the return on AI and skills.

The tech giant recently conducted a global survey with approximately 12,000 people working with enterprise companies. The research surveyed employees and leaders within large enterprises across industry verticals in India, and 19 other countries, to look at the skills needed to thrive as AI becomes increasingly adopted by businesses, as well as the key learnings from early AI adopters.

The survey found a direct link between having the skills needed to thrive in an AI world and the value organisations gain from their AI implementations. The research further reveals that employees are keen to acquire AI relevant skills that are growing in importance and are of value to them personally and to the business. The organisation leaders surveyed predicted that half of all employees will be equipped with AI skills in the next 6-10 years, which is nearly one-and-a-half times more than the present estimations.

#news #ai research for businesses #ai survey #microsoft #microsoft ai for business survey #microsoft ai research #microsoft survey

Microsoft Reveals Need To Prioritise Skills To Maximise Value From AI
Brionna  Bailey

Brionna Bailey

1626751987

Explore AI Builder Features in Microsoft Teams

In this feature overview video series, we highlight new capabilities included in the latest update to Microsoft Power Automate.

AI Builder functionalities are available in Microsoft Teams so that you can use AI in a Power Automate flow. Power Automate templates that use the AI Builder functionality will be available in Microsoft Teams.

#microsoft #artificial-intelligence #ai

Explore AI Builder Features in Microsoft Teams
Otho  Hagenes

Otho Hagenes

1619511840

Making Sales More Efficient: Lead Qualification Using AI

If you were to ask any organization today, you would learn that they are all becoming reliant on Artificial Intelligence Solutions and using AI to digitally transform in order to bring their organizations into the new age. AI is no longer a new concept, instead, with the technological advancements that are being made in the realm of AI, it has become a much-needed business facet.

AI has become easier to use and implement than ever before, and every business is applying AI solutions to their processes. Organizations have begun to base their digital transformation strategies around AI and the way in which they conduct their business. One of these business processes that AI has helped transform is lead qualifications.

#ai-solutions-development #artificial-intelligence #future-of-artificial-intellige #ai #ai-applications #ai-trends #future-of-ai #ai-revolution

Making Sales More Efficient: Lead Qualification Using AI
Mikel  Okuneva

Mikel Okuneva

1603785600

Microsoft’s Turing Language Model Can Now Interpret 94 Languages

Recently, the developers at Microsoft detailed the Turing multilingual language model (T-ULRv2) and announced that the AI model has achieved the top rank at the Google XTREME public leaderboard.

The Cross-lingual TRansfer Evaluation of Multilingual Encoders, also known as XTREME benchmark includes 40 typologically diverse languages, which span 12 language families. XTREME also consists of nine tasks that require reasoning about different levels of syntax as well as semantics.

The Turing multilingual language model (T-ULRv2) is created by the Microsoft Turing team in collaboration with Microsoft Research. The model is also known to beat the previous best from Alibaba (VECO) by 3.5 points in average score.


Saurabh Tiwary, Vice President & Distinguished Engineer at Microsoft mentioned that in order to achieve this milestone, the team leveraged StableTune, which is a multilingual fine-tuning technique based on stability training along with the pre-trained model. The other popular language models on the XTREME leaderboard include XLM-R, mBERT, XLM, among others. Ming Zhou, Assistant Managing Director at Microsoft Research Asia, stated in a blog post that the Microsoft Turing team has long believed that language representation should be universal. Also, this kind of approach would allow for the trained model to be fine-tuned in one language and applied to a different one in a zero-shot fashion.

For a few years now, unsupervised pre-trained language modelling has become the backbone of all-natural language processing (NLP) models, with transformer-based models at the heart of all such innovation. According to Zhou, this type of models has the capability to overcome the challenge of requiring labelled data to train the model in every language.

How T-ULRv2 Works

The Turing multilingual language model (T-ULRv2) model is the latest cross-lingual innovation at the tech giant. It incorporates the InfoXLM (Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training),which is a cross-lingual pre-trained model for language understanding and generation to create a universal model that represents 94 languages in the same vector space.

TT-ULRv2 is a transformer architecture with 24 layers and 1,024 hidden states. The architecture also includes a total of 550 million parameters. The pre-training of this model includes three different tasks, which are multilingual masked language modelling (MMLM), translation language modelling (TLM) and cross-lingual contrast (XLCo).


#developers corner #google xtreme #microsoft #microsoft ai #microsoft ai model #microsoft turing nlg #t-ulrv2 model #turing multilingual language model

Microsoft’s Turing Language Model Can Now Interpret 94 Languages