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The second-annual Structure Data Awards are here, where Gigaom picks the most-interesting and most-promising data startups that launched in the previous year. The winners, which range from a non-profit data science organization to a company building infrastructure for deep learning, will present during a special session at our Structure Data conference, which takes places March 18 and 19 in New York.
This year’s winners are:
Bayes Impact: A non-profit organization that emerged from Y Combinator, Bayes Impact is trying to bring data to bear on some of society’s thorniest problems. It host fellows, works with directly other non-profit organizations, and puts on hackathons to identify new applications for data science.
Confluent: Apache Kafka has become a popular tool for managing real-time data streams of data from web sites, applications and sensors. In March, the team that created Kafka while at LinkedIn launched Confluent to help commercialize the technology.
Enlitic: Deep learning has proven its prowess in pattern recognition and computer vision, although advances often emerge from the corporate labs of large web companies. Enlitic is applying the techniques in the name of health care by trying to build deep learning models that can diagnose disease from medical images.
Interana: Based on the data-centric culture two of its founders experienced while working and building data products at Facebook, Interana’s software is designed to open data analysis to entire companies. Aside from the user experience, the team built an entire data storage and low-latency processing stack from the ground up.
MetaMind: MetaMind is the product of years of artificial intelligence research by its founding team, including in the field of deep learning. The company’s goal is to help other organizations make the most of their text and image data, and to push the state of the art with its own research.
Nervana Systems: As deep learning took off, the team at Nervana sensed an opportunity to build systems specially designed for the unique computing requirements of neural networks. Although the company includes folks who have worked on neurosynaptic chips at places such as Qualcomm, Nervana is building a hardware-and-software platform.
Tamr: Big data is taking off within enterprises, but finding and transforming relevant datasets is still very difficult. Tamr, which was founded by former Vertica CEO Andy Palmer and database expert Michael Stonebraker, tries to simplify it with a combination of machine learning and human data stewards.
TeraDeep: TeraDeep is straddling the intersection of two very big trends — deep learning and the internet of things. The company has developed deep learning algorithms that can run on smartphone processors and FPGAs, and is building small processors that can be embedded into devices to make them intelligent.
Of course, startups are just a part of Structure Data 2015. The event also features executives from the biggest, best and most innovative companies around — including BuzzFeed, ESPN, Google and NASA — and researchers from universities and companies including Facebook, MIT, NYU and Stanford.