Tala has been a pioneer in the alternative lending space. Founded by Shivani Siroya, the Santa Monica based company has demonstrated tremendous success in providing credit to people who are unbanked. Tala uses machine learning from a user’s smartphone to […]
machine learning
DeepMind: Who Needs Data to Learn?
How Alphabet may have eliminated its data advantage when it bought DeepMind.
MedAware – Using AI to eliminate prescription errors
MedAware’s machine-learning algorithms mine data gathered from millions of electronic medical records to detect outliers in prescription behavior and flag them in real-time to healthcare providers
Alexa, what should I wear today?
Amazon is leveraging Alexa to gain a deeper foothold in the apparel space.
Robo Advisors and the business of automated advice
Roby advisory (“robos”), are low-cost automated investment platforms that utilizes mathematical algorithms to support investment decisions and create diversified financial portfolios. Analysts predict that by 2020 broadly defined robo advisory services are expected to manage between $2.2 to $3.7 trillion in assets. Can they replace a human Financial Advisor and become the main stream asset allocation solution?
This Call May be Monitored to Help Us Help You
Can algorithms really make us more empathetic? Cogito is using machine learning, data, and nudges to keep us all from pulling our hair out when contacting customer support. Co-founder Joshua Feast: “in some ways, we think of ourselves as a cyborg company, helping humans be their best selves.”
C3 IoT: Machine Learning in Industrial Applications
C3 IoT is an enterprise software business creating valuable applications for large industrial businesses using machine learning and predictive analytics.
Spotify may know you better than you realize
Spotify, the largest on-demand music service, uses big data, artificial learning, and machine learning techniques to deliver a unique and personalized music listening experience.
Is Quant the New King in Town?
The “quant” revolution in trading is well underway, but how do they leverage their data and what new risks does this introduce?
Humanyze-ing the workplace: gathering and analyzing unique data on employee interaction to improve productivity
The people analytics industry is expected to grow to $1B in value by 2022. Humanyze, a Cambridge based startup, is at the forefront of the people analytics charge – the firm has developed a software platform for integrating multiple sources of data, and an innovative badge which gathers diverse data to feed that platform. Humanyze has the potential to create and capture significant value, as long as it can manage concerns around data privacy.