Two out of every five people in the U.S. will be diagnosed with cancer during their lifetimes, according to the National Cancer Institute (NCI). The same technology behind improved voice assistants and credit card fraud detection—artificial intelligence—can help improve cancer screening and save lives. Booz Allen Hamilton (NYSE: BAH) and Kaggle announced that the third annual Data Science Bowl will inspire data scientists and medical communities around the world to use artificial intelligence to improve lung cancer screening technology.
Booz Allen & Kaggle Convene Data Scientists, Medical Community to Improve Cancer Screening using Artificial Intelligence through $1 Million Competition
In this contributed article, Deb Ray, Chief Data Officer at VideoAmp discusses an important technique where the complexity of cross-channel targeting and measurement is solved by building a large-scale graph of consumers and their connected devices.
This is the third article in a series focusing on a technology that is rising in importance to enterprise use of big data – IoT Analytics, or the analytical component of the Internet-of-Things. In this segment, we’ll provide an overview of the rise of IoT analytics. IoT Analytics implies data, fast data, and big data. IoT is not just about capturing sensor data, or GPS locations, or temperature, or velocity changes. You have to find meaning in that data through analytics.
In this contributed article, tech writer Linda Gimmeson discusses how big data technology isn’t just for large enterprises, but rather with a bit of ingenuity, there are feasible ways for small businesses to leverage big data as well.
In this contributed article, Hila Nir, Vice President of Marketing & Product at ZoomInfo, discusses the three steps needed to build a pragmatic, profitable pilot account-based marketing (ABM) program. Marketing and sales departments are investing big time in technology to advance ABM as the strategy’s popularity soars.
This is the second article in a series focusing on a technology that is rising in importance to enterprise use of big data – IoT Analytics, or the analytical component of the Internet-of-Things. In this segment, we’ll discuss the marriage of IoT analytics and the cloud. The cloud is enabling innovation and driving the adoption of many new and powerful technologies, and IoT is no exception. One characteristic of many IoT applications is they generate “too much data.” You don’t necessarily know the value of that data and the process tends to be very elastic.
Here’s a useful new book for data scientists looking to approach the field from a unique perspective that doesn’t include language heavyweights like R and Python. “Julia for Data Science,” by Zacharias Voulgaris, Ph.D. from Technics Publications, allows you to master the Julia language to solve business critical data science challenges. But why look to a relatively new language when you already have other commonly-used languages at your disposal?
In this contributed article, Jerome Ternynck, CEO at SmartRecruiters discusses the impact AI and machine learning are having with day-to-day processes for talent acquisition teams. His company recently hosted a Hiring Success meetup and invited recruiting industry experts to share their thoughts on the future of AI and talent acquisition. Here are some of the overarching themes that came out of the event.
In this contributed article, tech writer Linda Gimmeson discusses how today we see big data playing a part in biomedical research, and specifically three main ways that big data has impacted biomedical research include authorization, speedy results, and safer animal testing.
Contributed by Daniel D. Gutierrez, Managing Editor of insideBIGDATA, this is the first article in a series focusing on a technology that is rising in importance to enterprise use of big data – IoT Analytics, or the analytical component of the Internet-of-Things. In this first segment, we’ll set the stage for our discussion by providing an overview of the Internet-of-Things. The Internet of Things (IoT) is an emerging theme with wide technical, social, and economic significance. Consumer products, durable goods, automobiles, industrial equipment, utilities, various sensors, and other everyday devices are being combined with Internet connectivity and powerful analytics capabilities that promise to be transformative in terms of the way we live, work, and play.