Data Science 101: The Data Science Process

Welcome to insideBIGDATA’s Data Science 101 channel brining you perspectives for the topics of the day in data science, machine learning, AI and deep learning. Many of the video... Read more »

Level AI Introduces the Future of Customer Service With Generative AI Solution, AgentGPT

Level AI, a leader in advanced conversation intelligence solutions for the contact center, announced a game-changing generative AI product. AgentGPT is a secure, omniscient generative AI system for customer... Read more »

Research Highlights: A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

The Pretrained Foundation Models (PFMs) are regarded as the foundation for various downstream tasks with different data modalities. A pretrained foundation model, such as BERT, GPT-3, MAE, DALLE-E, and... Read more »

The Strength of America’s Data Will Determine the Impact of the CHIPS and Science Act

In this special guest feature, Robert Lowe, CEO of Wellspring Worldwide, looks into how data strength needs to be the key focal area as the government begins to act... Read more »

Book Review: Tree-based Methods for Statistical Learning in R

Here’s a new title that is a “must have” for any data scientist who uses the R language. It’s a wonderful learning resource for tree-based techniques in statistical learning,... Read more »

Google Cloud Unveils Its 2023 Data and AI Trends Report

Google Cloud worked with IDC on multiple studies involving global organizations across industries in order to explore how data leaders are successfully addressing key data and AI challenges. The... Read more »

Heard on the Street – 2/21/2023

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends... Read more »

Research Highlights: MIT Develops First Generative Model for Anomaly Detection that Combines both Reconstruction-based and Prediction-based Models

Kalyan Veeramachaneni and his team at the MIT Data-to-AI (DAI) Lab have developed the first generative model, the AutoEncoder with Regression (AER) for time series anomaly detection, that combines... Read more »

Consumers Don’t Have To Leave Your CFI to Bank in a Better One

In this contributed article, Uday Akkaraju, CEO of BOND.AI, discusses how AI can help CFIs (community-based financial institutions) meet the needs of their consumers. In 2020 and 2021, 98%... Read more »

Run:ai’s 2023 State of AI Infrastructure Survey Reveals that Infrastructure and Compute have Surpassed Data Scarcity as the Top Barrier to AI Development

The 2023 State of AI Infrastructure Survey, commissioned by Run:ai, sheds light on the growing challenges faced by organizations in AI development. The survey, which was conducted by Global Surveyz... Read more »
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