Log in
E-mail
Password
Remember
Forgot password ?
Become a member for free
Sign up
Sign up
New member
Sign up for FREE
New customer
Discover our services
Settings
Settings
Dynamic quotes 
OFFON

MarketScreener Homepage  >  Equities  >  Nasdaq  >  Microsoft Corporation    MSFT

MICROSOFT CORPORATION

(MSFT)
  Report
Delayed Quote. Delayed Nasdaq - 11/25 04:00:00 pm
213.87 USD   +0.00%
04:30pAmazon Web Services Hit by Outage -- Update
DJ
09:06aMICROSOFT : MainOne, Microsoft Collaborate On Cloud Services
AQ
02:31aSalesforce in talks to acquire workplace app Slack - sources
RE
SummaryQuotesChartsNewsRatingsCalendarCompanyFinancialsConsensusRevisions 
SummaryMost relevantAll NewsPress ReleasesOfficial PublicationsSector newsMarketScreener StrategiesAnalyst Recommendations

Microsoft : How AI, drones and cameras are keeping our roads and bridges safe

06/27/2019 | 11:40am EST

Left unattended, these cracks can grow large enough to expose the underlying steel frame of the bridge itself. If the steel then rusts, the strength is compromised, and rebuilding is the only option. 'Concrete does not simply degrade overnight - it is a slow process. Therefore, being able to detect and predict potential points of damage in advance is extremely useful,' says Mikkel Hemmingsen, CEO of Sund & Bælt.

The end result in a process which increases safety while saving time and money. In addition, it has also allowed the company to carry its learnings over into newer bridge constructions. There are also plans to train the algorithm further, by applying the same method to the Little Belt Bridge, the Vejlefjord Bridge and the Øresund Bridge.

'Our core focus was to create a solution to maintain and improve efficiency, but we quickly realised that the more we used the solution, the better it actually became. This has given us an incentive to spread the solution to others,' Hemmingsen states.

From bridges to roads
Multinational construction company BAM Infra Nederland and OrangeNXT, a leading software integrator, have developed a system using Microsoft Azure, machine learning, and AI to train algorithms that can accurately detect and classify various types of damage on paved surfaces.

In the past, BAM sent out drivers in camera-equipped cars to capture photos and videos of road surfaces. Inspectors then reviewed the content to identify damaged areas, before marking them and making a plan to fix them. 'This process was time-consuming, costly, and tedious,' says Kitting Lee, Director of Commerce and Innovation at BAM Infra Nederland. 'We needed a smarter solution.'

The new solution sees vehicles equipped with 360-degree cameras record video footage from every angle, before they are uploaded to the Azure cloud, where AI-powered algorithms automatically flag any causes for concern. These images also capture geospatial data, allowing inspectors to accurately trace them back to their real-world location. This improves the speed, quality, efficiency, and accuracy of these visual road checks, enabling predictive asphalt maintenance, while reducing costs - freeing inspectors to focus their expertise where it is really needed.

Disclaimer

Microsoft Corporation published this content on 27 June 2019 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 27 June 2019 15:39:05 UTC


© Publicnow 2019
All news about MICROSOFT CORPORATION
04:30pAmazon Web Services Hit by Outage -- Update
DJ
09:06aMICROSOFT : MainOne, Microsoft Collaborate On Cloud Services
AQ
02:31aSalesforce in talks to acquire workplace app Slack - sources
RE
11/25Amazon Web Services Hit by Outage -- Update
DJ
11/25Salesforce Is In Advanced Talks to Buy Slack, Sources Say -- 2nd Update
DJ
11/25Amazon Web Services Hit by Outage
DJ
11/25Salesforce in talks to acquire workplace app Slack -sources
RE
11/25THIERRY BRETON : EU's Breton
RE
11/25Wall Street's rise from pandemic lows has further to go, say strategists
RE
11/24WORLD UPDATE II : USA for Microsoft Flight Simulator now available for free
PU
More news
Financials (USD)
Sales 2021 158 B - -
Net income 2021 51 344 M - -
Net cash 2021 76 102 M - -
P/E ratio 2021 31,7x
Yield 2021 1,02%
Capitalization 1 617 B 1 617 B -
EV / Sales 2021 9,75x
EV / Sales 2022 8,71x
Nbr of Employees 163 000
Free-Float 99,9%
Chart MICROSOFT CORPORATION
Duration : Period :
Microsoft Corporation Technical Analysis Chart | MSFT | US5949181045 | MarketScreener
Technical analysis trends MICROSOFT CORPORATION
Short TermMid-TermLong Term
TrendsNeutralNeutralBullish
Income Statement Evolution
Consensus
Sell
Buy
Mean consensus BUY
Number of Analysts 39
Average target price 242,47 $
Last Close Price 213,87 $
Spread / Highest target 30,0%
Spread / Average Target 13,4%
Spread / Lowest Target -15,8%
EPS Revisions
Managers
NameTitle
Satya Nadella Chief Executive Officer & Non-Independent Director
Bradford L. Smith President & Chief Legal Officer
John Wendell Thompson Independent Chairman
Kirk Koenigsbauer COO & VP-Experiences & Devices Group
Amy E. Hood Chief Financial Officer & Executive Vice President
Sector and Competitors
1st jan.Capitalization (M$)
MICROSOFT CORPORATION35.61%1 616 963
ZOOM VIDEO COMMUNICATIONS, INC.552.15%126 203
SEA LIMITED341.82%87 777
ATLASSIAN CORPORATION PLC79.78%53 915
DASSAULT SYSTÈMES SE4.26%47 441
AMADEUS IT GROUP, S.A.-15.44%33 009