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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 presentations come from my lectures for my Introduction to Data Science class I teach at UCLA Extension. In today’s slide-based video presentation I discuss The Data Science Process, an overview of the steps that data scientists use solving problems with data science and machine learning technologies.

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 ChatGPT, is trained on large-scale data which provides a reasonable parameter initialization for a wide range of downstream applications.

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 company compiled the results in its 2023 Data and AI Trends report. In it, you’ll find the metrics-rich research behind the top five data and AI trends, along with tips and customer examples for incorporating them into your plans. 

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 both reconstruction-based and prediction-based models. They’ve been building it for three years—AER has been learning and extracting intelligence for signals and has reached maturity to outperform the market’s leading models significantly.

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 Research and gathered responses from 450 industry professionals across the US and Western EU, reveals that infrastructure and compute, chosen by 54% and 43% of respondents respectively, are now the primary hurdles, surpassing data as the key challenge facing AI development. 

Video Highlights: Attention Is All You Need – Paper Explained

In this video presentation, Mohammad Namvarpour presents a comprehensive study on Ashish Vaswani and his coauthors’ renowned paper, “Attention Is All You Need.” This paper is a major turning point in deep learning research. The transformer architecture, which was introduced in this paper, is now used in a variety of state-of-the-art models in natural language processing and beyond. Transformers are the basis of the large language models (LLMs) we’re seeing today.

NTT and the University of Tokyo Develop World’s First Optical Computing AI Using an Algorithm Inspired by the Human Brain

NTT Corporation (President and CEO: Akira Shimada, “NTT”) and the University of Tokyo (Bunkyo-ku, Tokyo, President: Teruo Fujii) have devised a new learning algorithm inspired by the information processing of the brain that is suitable for multi-layered artificial neural networks (DNN) using analog operations. This breakthrough will lead to a reduction in power consumption and computation time for AI.

AI and Big Data Expo North America Tickets are Now Live 

Plan to attend the AI and Big Data Expo North America, May 17-18, 2023 in the heart of Silicon Valley at the San Jose Convention Center. This in-person event, delivering AI & Big Data for a smarter future.

@insideBIGDATApodcast: The Open Source Stack Unleashing a Game-Changing AI Hardware Shift

Welcome to the insideBIGDATA series of podcast presentations, a highly curated collection of topics relevant to our global audience. Topics include big data, data science, machine learning, AI, and deep learning. Enjoy! This episode discusses the emerging open source software stack for PyTorch that makes it easier and more accessible to implement non-NVIDIA backends.

New Survey Finds Consumers Give Chatbots a Failing Grade in Customer Experience

Cyara, provider of the Automated Customer Experience (CX) Assurance Platform, released a new global study that shows while most customers want to use chatbots for automated support, many businesses fail to deliver positive chatbot experiences even as they increasingly rely on them as primary methods of customer interactions online.