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Why Does AI Matter Now? 3 Factors Driving Recent Interest [Collision Takeaways] While the earliest forms of AI date back to the 1950s, the last decade has seen a marked increase in the popularity of artificial intelligence. And as AI
What Is Compute in AI? 3 Key Challenges In its simplest form, compute describes the manipulation of information; it’s used to organize and process data. Machines that use compute to perform tasks have three primary components: logic, memory, and interconnect.
Exploring the Art of AI with Data Science Consultant Niki Agrawal Niki Agrawal’s passion for inspiring creativity with the scientific method led her to her career as a Data Science Consultant with Pandata. Read on to learn more about her
What is Anomaly Detection? And How Can It Be Used in Your Trusted AI Project? Anomaly detection, also called outlier analysis, refers to uncovering and analyzing anything in a dataset that deviates from the norm. Anything that falls outside of
Chris Brace has always had a passion for the unknown. From a young age, he found himself creating his own instructions for moving toys, class assignments, and everything in between. His curiosity led him to his role as an Associate
3 Sessions on Responsible AI You Won’t Want to Miss At ODSC West 2021 The first-ever hybrid Open Data Science Conference (ODSC) West event is next week and our team can’t wait to join hundreds of other data scientists to
Meet the Newest Data Scientist at Pandata: Merilys Huhn, JD For as long as she can remember, Merilys Huhn has loved solving problems. She has always been deeply intrigued by how people work and act together—her background in law and
We live in an era of unprecedented automation and rapidly expanding data. In 2019 alone, the internet generated 2.5 billion bytes of data every day, but only about .5% of that data was meaningfully analyzed! This data deluge, combined with the want to derive more value ever faster, has
As practitioners and consumers of data science, how do we make ethical decisions when confronted with thorny dilemmas in artificial intelligence (AI)? How do we even recognize when those dilemmas emerge before they become public relations catastrophes? Humanities and social
AI is one of the most widely talked about yet poorly understood terms in organizations. While over 50% of organizations considered AI a priority in 2019, 77% of organizations are failing to successfully adopt AI-enabled solutions. Having a poor definition
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