Category Archives : Azure

23

Oct

How AI Transforms Business – A New Microsoft Series
How AI Transforms Business – A New Microsoft Series

Microsoft is privileged to work with leading-edge customers and partners who are taking the power of the cloud and artificial intelligence and applying it to their businesses in novel ways. Our new series, How AI Transforms Business, features insights from selective such customers and partners. Join us in these conversations and see how your company and customers may be able to benefit from these solutions and insights.
All Episodes 1. How Can Autonomous Drones Help the Energy and Utilities Industry?
Headquartered in Norway, eSmart Systems develops digital intelligence for the energy industry and for smart communities. When it comes to next-generation grid management systems or efficiently running operations for the connected cities of the future, they are at forefront of digital transformation. In a conversation with Joseph Sirosh, CTO of AI in Microsoft’s Worldwide Commercial Business, Davide Roverso, Chief Analytics Officer at eSmart Systems, talks about interesting new AI-enabled scenarios in world of energy, utilities and physical infrastructure.
 

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23

Oct

How Can Autonomous Drones Help the Energy and Utilities Industry?
How Can Autonomous Drones Help the Energy and Utilities Industry?

Welcome to How AI Transform Business, a new series featuring insights from conversations with Microsoft partners who are combining deep industry knowledge with AI in novel ways and, in doing so, creating leading-edge intelligent business solutions for our digital age.

Our first episode features eSmart Systems, which is in the business of creating solutions to accelerate global progress towards sustainable societies. Headquartered in the heart of Østfold county, Norway, eSmart Systems develops digital intelligence for the energy industry and for smart communities. The company is strategically co-located with the NCE Smart Energy Markets cluster and the Østfold University College and thrives in a very innovative environment. When it comes to next-generation grid management systems, or efficiently running operations for the connected cities of the future or driving citizen engagement, the company is at the forefront of digital transformation.

We recently caught up with Davide Roverso, Chief Analytics Officer at eSmart Systems. Davide has many interesting things to share about where and how AI is being applied in the infrastructure industry. Among other things, he talks about how utilities companies are forced to fly manned helicopters missions over live electrical power lines today, just to perform routine inspections, and how –

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23

Oct

How AI Transforms Business – A New Microsoft Series
How AI Transforms Business – A New Microsoft Series

Microsoft is privileged to work with leading-edge customers and partners who are taking the power of the cloud and artificial intelligence and applying it to their businesses in novel ways. Our new series, How AI Transforms Business, features insights from selective such customers and partners. Join us in these conversations and see how your company and customers may be able to benefit from these solutions and insights. All Episodes 1. How Can Autonomous Drones Help the Energy and Utilities Industry? Headquartered in Norway, eSmart Systems develops digital intelligence for the energy industry and for smart communities. When it comes to next-generation grid management systems or efficiently running operations for the connected cities of the future, they are at forefront of digital transformation. In a conversation with Joseph Sirosh, CTO of AI in Microsoft’s Worldwide Commercial Business, Davide Roverso, Chief Analytics Officer at eSmart Systems, talks about interesting new AI-enabled scenarios in world of energy, utilities and physical infrastructure.  

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23

Oct

How Can Autonomous Drones Help the Energy and Utilities Industry?
How Can Autonomous Drones Help the Energy and Utilities Industry?

Welcome to How AI Transforms Business, a new series featuring insights from conversations with Microsoft partners who are combining deep industry knowledge with AI in novel ways and, in doing so, creating leading-edge intelligent business solutions for our digital age. Our first episode features eSmart Systems, which is in the business of creating solutions to accelerate global progress towards sustainable societies. Headquartered in the heart of Østfold county, Norway, eSmart Systems develops digital intelligence for the energy industry and for smart communities. The company is strategically co-located with the NCE Smart Energy Markets cluster and the Østfold University College and thrives in a very innovative environment. When it comes to next-generation grid management systems, or efficiently running operations for the connected cities of the future or driving citizen engagement, the company is at the forefront of digital transformation. We recently caught up with Davide Roverso, Chief Analytics Officer at eSmart Systems. Davide has many interesting things to share about where and how AI is being applied in the infrastructure industry. Among other things, he talks about how utilities companies are forced to fly manned helicopters missions over live electrical power lines today, just to perform routine inspections,

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17

Oct

https://blogs.technet.microsoft.com/machinelearning/2018/10/17/machine-reading-at-scale-transfer-learning-for-large-text-corpuses/Source: https://blogs.technet.microsoft.com/machinelearning/2018/10/17/machine-reading-at-scale-transfer-learning-for-large-text-corpuses/       This post is authored by Anusua Trivedi, Senior Data Scientist at Microsoft. This post builds on the MRC Blog where we discussed how machine reading comprehension (MRC) can help us “transfer learn” any text. In READ MORE

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17

Oct

Machine Reading at Scale – Transfer Learning for Large Text Corpuses

https://docs.microsoft.com/archive/blogs/machinelearning/machine-reading-at-scale-transfer-learning-for-large-text-corpusesSource: https://docs.microsoft.com/archive/blogs/machinelearning/machine-reading-at-scale-transfer-learning-for-large-text-corpuses       This post is authored by Anusua Trivedi, Senior Data Scientist at Microsoft. This post builds on the MRC Blog where we discussed how machine reading comprehension (MRC) can help us “transfer learn” any text. In READ MORE

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11

Oct

Power Bat – How Spektacom is Powering the Game of Cricket with Microsoft AI

A special guest post by cricket legend and founder of Spektacom Technologies, Anil Kumble. This post was co-authored by Tara Shankar Jana, Senior Technical Product Marketing Manager at Microsoft.

While cricket is an old sport with a dedicated following of fans across the globe, the game has been revolutionized in the 21st century with the advent of the Twenty20 format. This shorter format has proven to be very popular, resulting in a massive growth of interest in the game and a big fan following worldwide. This has, in turn, led to increased competitiveness and the desire on the part of both professionals and amateurs alike to take their game quality to the next level.

As the popularity of the game has increased, so have innovative methods of improving batting techniques. This has resulted in a need for data-driven assistance for players, information that will allow them to digitally assess their quality of game.

Spektacom was born from the idea of using non-intrusive sensor technology to harness data from “power bats” and using that data to power insights driven by the cloud and artificial intelligence.

Before we highlight how Spektacom built this solution using Microsoft AI, there are a couple

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11

Oct

Power Bat – How Spektacom is Powering the Game of Cricket with Microsoft AI

A special guest post by cricket legend and founder of Spektacom Technologies, Anil Kumble. This post was co-authored by Tara Shankar Jana, Senior Technical Product Marketing Manager at Microsoft. While cricket is an old sport with a dedicated following of fans across the globe, the game has been revolutionized in the 21st century with the advent of the Twenty20 format. This shorter format has proven to be very popular, resulting in a massive growth of interest in the game and a big fan following worldwide. This has, in turn, led to increased competitiveness and the desire on the part of both professionals and amateurs alike to take their game quality to the next level. As the popularity of the game has increased, so have innovative methods of improving batting techniques. This has resulted in a need for data-driven assistance for players, information that will allow them to digitally assess their quality of game. Spektacom was born from the idea of using non-intrusive sensor technology to harness data from “power bats” and using that data to power insights driven by the cloud and artificial intelligence. Before we highlight how Spektacom built this solution using Microsoft AI, there are a

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03

Oct

Deep Learning Without Labels
Deep Learning Without Labels

Announcing new open source contributions to the Apache Spark community for creating deep, distributed, object detectors – without a single human-generated label

This post is authored by members of the Microsoft ML for Apache Spark Team – Mark Hamilton, Minsoo Thigpen,
Abhiram Eswaran, Ari Green, Courtney Cochrane, Janhavi Suresh Mahajan, Karthik Rajendran, Sudarshan Raghunathan, and Anand Raman.

In today’s day and age, if data is the new oil, labelled data is the new gold.

Here at Microsoft, we often spend a lot of our time thinking about “Big Data” issues, because these are the easiest to solve with deep learning. However, we often overlook the much more ubiquitous and difficult problems that have little to no data to train with. In this work we will show how, even without any data, one can create an object detector for almost anything found on the web. This effectively bypasses the costly and resource intensive processes of curating datasets and hiring human labelers, allowing you to jump directly to intelligent models for classification and object detection completely in sillico.

We apply this technique to help monitor and protect the endangered population of snow leopards.

This week at the Spark + AI Summit in

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03

Oct

“Snip Insights” – An Open Source Cross-Platform AI Tool for Intelligent Screen Capture

This post is authored by Tara Shankar Jana, Senior Technical Product Marketing Manager at Microsoft.

What if we could infuse AI into the everyday tools we use, to delight everyday users? With just a little bit of creativity – and the power of the Microsoft AI platform behind us – it’s now become easier than ever to create AI-enabled apps that can wow users.

Introducing Snip Insights!

An open source cross-platform AI tool for intelligent screen capture, Snip Insights is a step change in terms of how users can generate insights from their screen captures. The initial prototype of Snip Insights, built for Windows OS and released at Microsoft Build 2018 in May, was created by Microsoft Garage interns based out of Vancouver, Canada.

Our team at Microsoft AI Lab, in collaboration with the Microsoft AI CTO team, took Snip Insights to the next level by giving the tool an intuitive new user interface, adding cross-platform support (for MacOS, Linux, and Windows), and offering free download and usage under the MSA license.

Snip Insights taps into Microsoft Azure Cognitive Services APIs and helps increase user productivity by automatically providing them with intelligent insights on their screen captures.

Solution Overview

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