With data becoming the lifeblood of enterprises, fundamental roles like data science have sprung up to get the best out data. But the gender gap in data science is still a problem, even in 2023.

(a) Crop breeding driven by the next generation of AI and big data technologies will be revolutionized in four areas: (i) high-throughput phenotype acquisition and analysis; (ii) biological big ...

Avinash Tripathi is an analytics evangelist, thought leader and keynote speaker with over 20 years of experience in higher education. As we approach the halfway point in 2024, we can look back and see ...

The statisticians engaged in interdisciplinary research involving Big Data will need to be computationally savvy, possessing expertise in statistical principles and an understanding of algorithmic ...

In this video from the EARL 2017 conference in San Francisco (June 5-7, 2017), insideAI News’s Managing Editor and resident data scientist Daniel D. Gutierrez chats with David Bishop, SVP – Head of ...

Sept. 29 — Three research teams in the Southern U.S. will receive funding for projects designed to use data science and data analytics to address challenges related to healthcare, environmental ...

The advent and pervasive nature of big data and what it means for science is being realized every day. This meeting focused on how big data is changing the way we do science, looking particularly at ...

Data is the foundation of every industry today, powering strategic decision-making, operational efficiency and customer engagement. However, as businesses accumulate vast amounts of data, managing it ...

Big data refers to datasets that are too large, complex, or fast-changing to be handled by traditional data processing tools. It is characterized by the four V's: Big data analytics plays a crucial ...