Intel's acquisition earlier this month of Nervana Systems is another example of how startups are preparing to disrupt the worlds largest industries using Artificial Intelligence. DCVC, a venture capital fund that invests in entrepreneurs applying cognitive computing, big data and IT infrastructure technologies to transform giant industries. The company wrote this overview on the services Nervana Systems is already deploying with the goal to disrupt the world's largest industries. Source: Standing on the Shore*: How AI is Disrupting the World's largest Industries by DCVC.
The Internet media is trending now with numerous mentions of "big data", "machine learning" and "artificial intelligence" all together destined to revolutionize pharmaceutical and biotech industries and the way drugs are discovered. These new technologies are believed to make drug discovery cheaper, faster, and more productive. First, let's review briefly some of the basic concepts in the heart of new technologies. The term "big data" by itself is more of a marketing nature. It describes an abstract concept of having large volumes of data obtained from various channels in multiple formats, which needs to be arranged in such a way, that it can be possible to quickly access, search, update, and analyze it to output useful information.
Part 3. Here's a look at industry specific companies that utilise various forms of artificial intelligence to solve some really interesting and particular problems for different markets. Basket -- e-commerce shopping cart chatbot Choice.ai AltSchool -- a platform made to improve learning capabailities Content Technologies (CTI) -- research and development company Coursera -- online courses from top universities Gradescope -- streamlines the tedious parts of grading Hugh -- helps library users find any book quickly Ivy.ai -- customer service chatbot for higher education Knewton -- personalised learning for high and primary schools Volley -- makes training and development more engaging and effective AlphaSense -- highly intelligent search functionality Alta5 -- scriptable trading automation for your online brokerage account Analytic.ai Atomwise -- for novel small molecule discovery Babylon -- online doctor consultations using AI BuddiHealth -- helps improve process, payment systems and costs with RCM Behold.ai Imagia -- helps detect changes in cancer early Kuznech -- computer vision products range Lunit Inc. -- a range of medical imaging software Zebra Medical Vision -- medical imaging to help physicians and practitioners Cape Analytics -- identify property attributes at scale for underwriting Underwrite.ai
Over the last few weeks we've been working on applying Deep Learning algorithms for a new VentureRadar feature we're adding in the coming weeks. This piqued my interest in finding out more about the startups leading the way in developing and applying Deep Learning, so I decided to pick out the eighteen highest ranked companies in this emerging field from the VentureRadar database, and take a closer look at them. You can also search VentureRadar for "Deep Learning" to find out about more companies in this exciting area. You can find out more about each company in the profiles below. Enlitic uses deep learning and image analysis to help doctors make diagnoses and spot abnormalities in medical images.
The Precision Medicine World Conference will be one of the most exciting conferences focused on AI in healthcare in 2018. CEOs of cutting edge companies from around the world will come together to discuss how they are using techniques such as computer vision, deep learning and machine learning to make big advances in medicine from drug discovery to patient diagnosis and treatment. The program will traverse innovative technologies and clinical case studies that enable the translation of precision medicine into direct improvements in health care. Attendees will have an opportunity to learn about the latest developments in Precision Medicine and cutting-edge new strategies that are changing how patients are treated.