A robot throws on your last mushroom and pepperoni toppings before whisking your pizza into an oven in a delivery truck — after some driving, the oven senses when your pizza is done, and cuts your pizza into perfect slices… right as it rolls up to your front door. Let’s dive into how machine learning is evolving food tech to unlock cheaper meals, faster deliveries, and personalization at scale.
machine learning
An Algorithm Could Be Your Next Favorite Artist
An Algorithm Could Be Your Next Favorite Artist
Can Facebook’s Artificial Intelligence Kill Fake News?
A exploration of the arms race to use Machine Learning by both those creating and stopping fake news.
Future of fragrance: Can AI disrupt an industry that is at the intersection of both art and science?
Perfume is an individual's most personal choice, and many dare to call this industry an art rather than science. Could this be why machine learning will bring tremendous value?
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?
Anadarko: Big Oil Meets Big Data
The oil and gas industry is undergoing a digital transformation.
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?
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.
Drugs – can machine learning cure the world faster and also save Billions?
How machine learning is revolutionizing the drug discovery process and saving $$$