The introduction of AI and ML has redefined the Google product experience, driving further investment in hardware development and software integration. As information flows become more complex, Google relies on ML and AI to raise the most relevant data at the most relevant times. Now, billions of users rely on Google Photos to manage and share their memories, utilize Google Maps to find the most convenient parking spot, and rely on Gmail to automatically draft responses to unanswered emails — entirely from a Google device.
machine learning
Making it Personal: How JetBlue is Using Machine Learning to Personalize the Travel Experience
JetBlue is partnering with a machine learning start-up so they can personalize product offerings to suit each traveler's needs.
“Thank You for the Music”: Spotify and algorithmic music curation
Spotify's commitment to algorithmic music curation has made it an industry-leading streaming platform, providing users with exactly the right music at the right moment. But can it sustain this advantage as the service grows?
Will IBM’s Deep Thunder Finally be the Key to Accurate Weather Forecasting?
Traditionally, government organizations (NOAA) and private companies (the Weather Company) have collected massive amounts of data via satellites and sensors, but weather forecasting models have had mixed success. IBM’s purchase of TWC in 2016 combines this data with a refined model to provide a hyper-local forecasting system that could revolutionize natural disaster preparation efforts globally.
Using Machine Learning to Optimize Hospital Operations
Many healthcare systems grapple with the paradox where assets are over-booked but under-utilized daily. LeanTaaS is a startup that is using machine learning to solve this problem.
Machine Learning in the Shale Patch: A Look at the “Mother Fracker”
“The energy patch is ripe for opportunities related to things like predictive analytics, machine learning, artificial intelligence projects” – Tim Dove, Pioneer Natural Resources CEO (June 2017) [1]
Machine Learning & Lending: Banco Santander’s Response to Banking Sector Disruption
Fintech companies are disrupting the way traditional banks lend money. Banco Santander is too.
Xcel Energy: New challenges and ML solutions
Electric utilities are facing new challenges as they try to integrate solar and wind generation. Machine learning technologies may have some of the answers.
I, Robot Meets Wall Street: The Age of the Robo-Advisor
Riding the new wave of algorithmic investing for individuals, how does Charles Schwab add value and set itself up for sustainable success in an ever-evolving global market?
Maison Me-chine
Maison Me is a made-to-order apparel brand powered by machine learning.