Showing posts from March, 2018

Where Are The Clean Tech and Data Science Startups?

  An interesting place to look at how the ecoinformatics market is evolving is to take a look at the startup scene in this space. What’s really interesting about the clean tech and big data space is that innovation happens at all levels – startups, national and state government institutions, cities, large companies, non-profit organizations, just to name a few. People and organizations are working to solve problems at different scales and that drives innovative solutions in all the different clean tech sectors. For example, the Nature Conservancy is doing some really interesting work in looking at how remote sensing and machine learning can be applied to wildlife and conservation. Similarly, cities in California are experimenting with smart meters and social media to improve water conservation.   However, let’s look at startups in the space as surrogates for estimating the market. And as expected, a picture emerges of a few sectors that are being heavily funded. The   CleanTech Group  

An example marketplace: The Multi-Billion Dollar Investment Market for Conservation

  Here we’re going to take a look at one of the smaller sectors in clean tech and look at how data science is making a huge impact. This is just an example of how the market is likely to evolve for the ecoinformatics sector.   The environment has often been seen as nothing more than an unlimited source of materials that are then turned into useful products that human beings can use. While this viewpoint was challenged in the latter half of the 20 th century, there still remains a sense that the environment is more of an after thought for business rather than something that has value and contributes to a business.   So it’s really interesting, especially in our current climate, to see how investing in conservation and ecosystems has performed. The   Ecosystem Marketplace    put out a report showing that   private investment in conservation has topped $8 billion globally  in 2016 and that   investors are expecting a rate of return of at least 5% and in some cases of 10% and more . Compar

How Big is the Clean Tech and Data Science Market?

  This month we'll be talking about the market for Ecoinformatics or the intersection between Clean Tech and Data Science! To start with, let's look at some numbers for each sector independently. The clean technology market size has been variously estimated at between   2 and 6 trillion dollars   over the last decade. A recent study published by the World Bank showed that the market size in   2012   was estimated at approximately   $5.5 trillion . The main sectors are shown below (by percentage). In short, energy (solar, wind, energy efficiency, alternative fuels), agriculture and water make up the largest part of the clean tech scene with energy being the dominant player at this time. Each of these sectors is a multi-billion dollar sector in itself, so it isn't hard to see that data science use cases for each of these sectors will also constitute a multi-million dollar market at the least, if not more.   The market size for data science is harder to estimate since it can c

Clean Technology Meets Data Science 101: Part 2

  The Harvard Business Review   called the job of a Data Scientist “the sexiest job of the 21 st century”. It’s a field that been booming in the last five years or so, with applications in multiple sectors – from finance to health to computer science to space and more recently to clean technology. Data Science or Big Data   as it’s sometimes being called is a relatively new term that refers to processes and methods to generate, process and develop insights from data. With more people coming online these days and generating large volumes of data, we’ve had to use methods and techniques from a wide range of disciplines to handle the speed, volume and variety of the data and understand what the data are telling us. That’s where the whole concept of “Big Data” or Data Science has come about – it’s a multi-disciplinary field that uses a basket of methods and tools from different fields, especially statistics and machine learning. Some of the topics I talk about in my list below are now acce