Currently, it takes a staggering 10-15 years and costs $2.6 billion to develop a new drug, and an astonishing proportion of this is lost in the 90% of candidates that fail. AstraZeneca is one of the world’s largest Pharmaceutical companies and is incorporating AI in every step of the R&D chain from drug discovery to launch to make this process safer, quicker and less costly.
data science
Nike – just Do it with Data science and Demand sensing
Nike has increased its focus on direct-to-customers strategy and cancelled its contract with Amazon to be able to collect its customer data. Through a series of acquisitions of data analytics and AI-based startups, it plans to use this data to understand customer journey, improve demand predictions at a hyper-local scale and enhance customer experience globally.
Stitch Fix – Fashion’s Most Innovative Retail Company
Stitch Fix, an innovative retail e-commerce company, leverages AI and data science to win in today's retail industry.
Kaggle: Building a Market for Data Science (and Scientists)
Kaggle is an innovative two-sided platform that connects companies facing hard problems with the data scientists who can solve them.
Tala: Using Machine Learning to Provide Access to Credit for the World’s Unbanked
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 […]
Stitch Fix: A Marriage of Art and Science
With a core competency in data analytics, Stitch Fix has ambitions to become the world's leading personal styling service.
Grubhub – Revolutionizing the food-ordering landscape
Grubhub – the leading online and mobile food-ordering company, with 8.2million active diners and 50,000 restaurants in its network across 1,100 cities – is redefining the way people order food. Insights from significant amount of data generated is helping the company refine the food-discovery process for its diners, i.e. right food at the right time at the right price. On the other hand, the restaurants are able to optimize their delivery footprints, pricing and online profiles. Let’s see how Grubhub does all of this.
3: Kaggle’s Krowd Woes
Kaggle’s recent acquisition by Google casts doubt on the viability of crowd-sourced expertise as a service. What went wrong?
“Most of the smartest people work for somebody else…” Kaggle in the new world of data science
Kaggle’s online data science platform is every software company’s critical new tool