Driving the Growth of Solar Energy Through Machine Learning
kWh Analytics, a data analytics start-up based in San Francisco, CA, is trying to lower the cost of solar energy through machine learning. Is it developing the right product?
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Los Angeles’ Traffic Issues Could be Alleviated with Machine Learning
If a Los Angeles County resident is asked “what is the biggest problem facing Los Angeles?”, they typically answer with one word, traffic. Therefore, it should be no surprise that INRIX recently ranked Los Angeles the most congested city in […]
Printing the Future of Helicopters with Bell
3D printing is reshaping the way that the aerospace industry develops and produces aircraft. Bell Helicopters is turning additive manufacturing into a competitive advantage within the world of rotary wing aerospace.
Round Down: John Deere Brings Machine Vision to Precision Agriculture
In 2017, the world's largest tractor company spent $305M to acquire a startup that distinguishes lettuce from pigweed. As a result, US farmers are freeing themselves from Monsanto's Roundup. Is John Deere's machine learning approach the future of ag tech?
Anadarko: Big Oil Meets Big Data
The oil and gas industry is undergoing a digital transformation.
Using Machine Learning to Improve How Energy Gets to Market
By collecting data and utilizing machine learning, the midstream oil and gas industry is improving operational efficiency.
Printer-to-Table: The Next Food Movement?
Will 3-D food printers become the next household kitchen device?
Is SigTuple positioned to disrupt medical diagnostic space in India: Can Data become Doctor?
With AI and machine learning overtaking every facet of millennial industry revolution, Healthcare AI application has far-reaching potential. With advances in image recognition, improvement in robotics, Medical startups are revolutionizing the diagnostic space but are we ready for such a change? Can we allow Data to become Doctor?
MetLife: A Case Study in Customer Segmentation
In 2015, MetLife began a year-long brand discovery process that centered around using data and machine learning to develop a more refined view of their customer segments and enable a more nuanced go to market strategy. By better understanding their customers' needs, attitudes, and behaviors, MetLife hoped to gain a competitive advantage in targeting and better serving an increasingly demanding set of customers.
The Election Security Challenge: Why Voting-Machine Vendors Resist Open Innovation
Following alleged Russian interference in the 2016 U.S. elections, voting-machine vendors face increasing public pressure for more open innovation of its products to enhance security.