BenevolentAI is a UK-based biotechnology company betting on machine learning and artificial intelligence as their competitive advantage at all stages of the drug development process. Will this bet pay off or will BenevolentAI fail to create meaningful innovation in the biotech space?
With 46 ground-breaking events completed in over a decade and ambitious expansion plans on the horizon, immersive film company Secret Cinema should integrate crowdsourcing into all elements of its production. Crowdsourcing will enable Secret Cinema to continue to be a leader in the live entertainment space where the lines between creator and consumer are rapidly blurring.
Sick of receiving confusing hospital bills in the mail that take hours to interpret and process? Through the use of machine learning and modern payments technology, Cedar addresses this major pain point by saving the patient and hospital valuable time, while significantly improving hospital collection rates and customer satisfaction.
How can hospitals better utilize patient data by applying machine learning technologies to augment diagnosis and clinical decision making? Partners Healthcare has launched the Clinical Center for Data Science to lead the charge.
Danone teams up with a start-up to explore artificial intelligence in the dairy industry. Can a FitBit for cows keep farmers happy and cows healthy with long-term benefits to the conglomerate’s supply chain?
Can jet engine parts really be made from powder? General Electric certainly thinks so.
Raízen is the technology-driven and sustainable Brazilian star child of Royal Dutch Shell and Cosan, a well-established producer of bioethanol and sugar based in São Paulo. Acting as a fully integrated agro-energetic company, Raízen operates in every single stage of the […]
In a world where Amazon seems unstoppable, traditional brick-and-mortar retailers are pinning their hopes on Bridg, a company with thirty employees and one powerful algorithm.
The open innovation initiative implemented by NASA generated divergent opinions among the R&D professionals working for the agency. The problem that NASA faces with the implementation of open innovation is how to organize and shift the culture, roles and processes to embrace such trend.
In an effort to come back from its multi-year slump, H&M is turning to machine-learning. Is machine-learning the answer to H&M’s problems and is it too late?
