Bringing machine learning to music – Spotify’s vision to win the hearts and ears of humanity
Is Spotify singing to us what we want to hear?
machine learning
Vertiv Not Raging Against The Machine
How Artificial Intelligence and Machine Learning is revolutionizing data centers
Underwriters or data scientists: who will help Brian Duperreault make AIG great again?
Brian Duperreault is focused on refreshing AIG's underwriting talent to execute a turnaround, but should he turn his attention to data science and machine learning instead?
Rent the Runway Wants You to Clean Out Your Closet…Permanently
Rent the Runway aspires to be a “closet in the cloud,” and it is using data to make it happen.
BenevolentAI: From Machine Learning Startup towards New Drug Producer
BenevolentAI is using machine learning to gather insights from the body of pharmaceutical literature in order to produce new potential drugs, but can it keep top talent?
Smart Sales: How Collective Intelligence is Improving Enterprise Sales at Pluralsight
Pluralsight, an EdTech company, is utilizing artificial intelligence, machine learning and collective intelligence to improve the efficiency and effectiveness of its sales team.
Smarter Eating, Smarter Fitness: AI supports your goals
We eat and exercise and hope to stay fit. MyFitnessPal takes the guesswork out of the equation so you can get the results you want.
YouTube | Machines Cleaning Up Human Content
Every minute, over 400 hours of video are uploaded to YouTube. What role can AI and Machine Learning have in monitoring content to ensure it is safe and suitable for the platform and viewers?
Using Machine Learning to Improve Neonatal Patient Outcomes at Cohen’s Children Medical Center
A patient in the neontal intensive care unit cannot verbally communicate with his/her doctors, but generates approximately one terabyte of medical data per year. Hospitals like Cohen’s Children Medical Center in New York have the opportunity to adopt machine learning initiatives to improve patient outcomes while reducing costs to serve.
Machine learning will revolutionize the future of insurance
Over-regulation, technological changes, changing customer behavior and competitive pressures are driving the disruption of the traditional insurance business model. How should insurers re-think their strategy for the future in an agile market that demands a customer-centric view?