Skip to main content

Microsoft uses Big data analytics to save the Earth


Microsoft is undertaking several projects dedicated to sustainability

Microsoft has been making significant contributions in Tech for Good and has taken significant steps towards environment conservation. The company’s going green mantra is underscored by the $1.1 million in 2016, fundraising and 5,949 number of volunteering hours put in by its employees.
But it doesn’t stop there. Microsoft’s ecosystem allows the firm, its employees, and the business partners to leverage new technologies for improving sustainability of their companies and communities. The Redmond giant recently tied up with The Nature Conservancy, a nonprofit to extend support for nonprofits globally.

greening the planet

Microsoft’s commitment towards nature is deeply rooted in the technologies it utilizes. Microsoft announced a $1 billion commitment to bring cloud computing resources to nonprofit organizations around the world. The firm donates near $2 million every day in products and services to nonprofits as a part of the commitment.
Microsoft has extended its support to organizations like World Wildlife FundRocky Mountain Institute,Carbon Disclosure ProjectWildlife Conservation Society, and the U.N. Framework Convention on Climate Change’s (UNFCCC) Climate Neutral Now initiative.

Here are a slew of use cases

How Prashant Gupta’s initiative is helping farmers in Andhra Pradesh increase revenue? Prashant Gupta works as a Cloud + Enterprise Principal Director at Microsoft. Gupta is undertaking significant developments for environment. Earlier, Gupta had facilitated a partnership for Microsoft with a United Nations agency, the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT),  and the Andhra Pradesh government. The project involved helping ground nut farmers cope with the drought.  
Gupta and his team leveraged advanced analytics and machine learning to launch a pilot program with a Personalized Village Advisory Dashboard for 4,000 farmers in 106 villages in Andhra Pradesh. It also included a Sowing App with 175farmers in one district.
Based on weather conditions, soil, and other indicators; the Sowing App advises farmers on the best time to sow. The Personalized Village Advisory Dashboard provides insights about soil health, fertilizer recommendations, and seven-day weather forecasts.

Nature Conservancy’s Coastal Resilience program








Microsoft’s Azure cloud platform for Nature Conservancy’s Coastal Resilience program: The Coastal Resilience is a public-private partnership led by The Nature Conservancy to help coastal communities address the devastating effects of climate change and natural disasters. The program has trained and helped over 100 communities globally about the uses and applications of the Microsoft’s Natural Solutions Toolkit.
The toolkit contains a suite of geospatial tools and web apps for climate adaptation and resilience planning across land and sea environments. This has helped in strategizing for risk reduction, restoration, and resilience to safeguard local habitats, communities, and economies.
Puget Sound: Puget Sound’s lowland river valleys is a treasure house, delivering valuable assets, a wealth of natural, agricultural, industrial, recreational, and health benefits to the four million people who live in the region. However, the communities are at increasing risk of flooding issues from rising sea levels, more extreme coastal storms, and more frequent river flooding.

High winds hit Puget Sound












The Conservancy’s Washington chapter is building a mapping tool as part of the Coastal Resilience toolkit to reduce the flow of polluted storm water into Puget Sound. Emily Howe, an aquatic ecologist is in charge of the project, which revolves around developing the new Storm water Infrastructure mapping tool. This tool will be eventually integrated into the Puget Sound Coastal Resilience tool set, that will be hosted on Azure.
Furthermore, it will include a high-level heat map of storm water pollution for the region, combining an overlay of pollution data with human and ecological data for prioritizing areas of concern.
Data helps in Watershed Management: Today, around 1.7 billion people living in the world’s largest cities depend on water flowing from watersheds. However, estimates suggest that those sources of watershed will be tapped by up to two-thirds of the global population, by 2050.
Kari VigerstolThe Nature Conservancy’s Global Water Funds Director of Conservation had overseen development of a tool to provide them with better data. The project entailed assisting cities and protecting their local water sources. 4,000 cities were analyzed by “Beyond the Source”. The results stated that natural solutions can improve water quality for four out of five cities.
Furthermore, The Natural Solutions Toolkit is being leveraged globally to better understand and protect water resources around the world. Through the water security toolkit, cities will be furnished with a more powerful set of tools. Users can also explore data, and access proven solutions and funding models utilizing the beta version of Protecting Water Atlas. This tool will help in improving water quality and supply for the future.

Microsoft is illuminating these places with its innovative array of big data and analytics offerings


Emily Howe







  1. In Finland, Microsoft partnered with CGI to develop a smarter transit system for the city of Helsinki. This data-driven initiative saw Microsoft utilize the city’s existing warehouse systems to create a cloud-based solution that could collate and analyse travel data. Helsinki’s bus team noticed a significant reduction in fuel costs and consumption, besides realizing increased travel safety, and improved driver performance.
  2. Microsoft Research Lab Asia designed a mapping tool, called Urban Air for the markets in China. The tool allows users to see, and even predict, air quality levels across 72 cities in China. The tool furnishes real-time, detailed air quality information, making use of  big data and machine learning. Additionally, the tool combines a mobile app, which is used about three million times per day.
  3. Microsoft is implementing environmental strategies worldwide. The firm is assisting the city of Chicago in designing new ways to gather data. Additionally, the firm is also helping the city utilize predictive analytics in order to better address water, infrastructure, energy, and transportation challenges.
  4. Boston serves as another great instance where Microsoft is working to spread information about the variety of urban farming programs in Boston. Microsoft is also counting on the potential of AI and other technology to increase the impact for the city.
  5. Microsoft has also partnered with Athena Intelligence for developing the hill city of San Francisco. As a part of this partnership, Microsoft is leveraging Athena’s data processing and visualization platform to gather valuable data about land, food, water, and energy. This will help in improving local decision-making.

Outlook


Satya Nadella, CEO of Microsoft











Data is not all that matters. At the end, it’s essentially about how cities can be empowered to take action based on that data. Microsoft has comprehensively supported the expansion of The Nature Conservancy’s innovative Natural Solutions Toolkit. The solution suite is already powering on-the-ground and in-the-water projects around the world, besides benefiting coastal communities, residents of the Puget Sound, and others globally.
Microsoft is doing an excellent job, delivering on its promise to empower people and organizations globally to thrive in a resource-constrained world. The organization is empowering researchers, scientists and policy specialists at nonprofits by providing them with technology that addresses sustainability.

Comments

  1. This comment has been removed by a blog administrator.

    ReplyDelete
  2. Hello,
    The Article on Microsoft uses Big data analytics to save the Earth is nice.It give detail information about big data analytics. It's amazing to know about it. big data scientist

    ReplyDelete

Post a Comment

Popular posts from this blog

Handy Practical Guide to Machine Learning Algorithms for Beginners

Broadly, there are 3 types of Machine Learning Algorithms.. 1. Supervised LearningHow it works: This algorithm consist of a target / outcome variable (or dependent variable) which is to be predicted from a given set of predictors (independent variables). Using these set of variables, we generate a function that map inputs to desired outputs. The training process continues until the model achieves a desired level of accuracy on the training data. Examples of Supervised Learning: Regression,Decision Tree, Random Forest, KNN, Logistic Regression etc. 2. Unsupervised LearningHow it works:In this algorithm, we do not have any target or outcome variable to predict / estimate.  It is used for clustering population in different groups, which is widely used for segmenting customers in different groups for specific intervention. Examples of Unsupervised Learning: Apriori algorithm, K-means.
3. Reinforcement Learning:How it works:  Using this algorithm, the machine is trained to make specific de…

AI Careers: Skills to Get Artificial Intelligence Jobs

As we can see from the history of artificial intelligence the rate of improvement in this field is just unbelievable. So the job opportunity in artificial intelligence is constantly growing. If you have desired skill sets, you can start your journey in the world of exciting Artificial Intelligence.

Now Artificial Intelligence is playing a crucial part in almost all industries. According to a survey AI market is estimated to grow to $5.05 billion by 2020 at a CAGR of 53.65% percent from 2015 to 2020.
AI is a technology that leads us to a new industrial revolution. Our generation can clearly see the positive impacts of AI in almost all the important fields like Healthcare, Finance, Education, Manufacturing etc.
With the help of AI we are entering into the new world of automation. The future of Artificial Intelligence is giving a confidence to make the world in better place. At the same time, some of the important scientists like Stephen Hawking alarmed about the danger (to Human and for…

A Complete Report On Data Scientist Salary

Executive Summary O’Reilly Data Science Salary Survey, we’ve analyzed input from 983 respondents working in the data space, across a variety of industries— representing 45 countries and 45 US states. Through the results of our 64-question survey, we’ve explored which tools data scientists, analysts, and engineers use, which tasks they engage in, and of course—how much they make. Key findings include: Python and Spark are among the tools that contribute most to salary.Among those who code, the highest earners are the ones who code the most.SQL, Excel, R and Python are the most commonly used tools.Those who attend more meetings, earn more.Women make less than men, for doing the same thing.Country and US state GDP serves as a decent proxy for geographic salary variation (not as a directestimate, but as an additional input for a model).The most salient division between tool and tasks usage is between those who mostly use Excel, SQL, and a small number of closed source tools—and those who …