Article Recommendations

Quickly Generate Time-Series Synthetic Data with OpenAI’s Fine-Tuning API

Synthetic data is increasingly important in the context of training data as it can help avoid privacy concerns or fill in the gaps for limited available raw data. The post does a nice little recap, with helpful code snippets, of how to accomplish synthetic data generation using OpenAI fine-tuned models. Now I just need to figure out how to use this to trade meme stocks... - John Forstmeier

How Can Data Science Accelerate Drug Discovery Processes?

Miller asserts that data science is not just a supplementary tool but a crucial component in modern drug discovery and development. From accelerating drug discover and repurposing, to tailoring treatments, and enhancing drug safety, data science touches on a multitude of aspects of the drug industry. - Katt Baum

How behavioral biometrics reduces online banking fraud

We've implemented biometrics in our lives for awhile now - scanning a fingerprint, using our face to unlock our phones, etc. Behavioral Biometrics use machine learning to analyze movement, online interactions, and more. We use biometrics in order to ensure that the user attempting to access something is the correct person. With almost everything being online, bad actors have increased banking fraud with $3.3 billion in losses being reported in 2020. Implementing behavioral biometrics is the next step in alternative biometrics in order to prevent this. - Reed Cowan

Is your Data Platform Sabotaging your AI Dreams?

Data teams are under immense pressure - costs are soaring, value justification is a nightmare, and new AI projects keep piling up. How can data teams move quickly while keeping costs down in an incredibly fragmented data landscape? The answer lies in DATA READINESS, reimagined. It goes beyond traditional data readiness for BI, reporting, and basic analytics. It powers today's GenAI and LLM world. This article shares actionable steps to get your data ready for AI. - Jagdish Purohit from 5X

Podcast Recommendations

The Analytics Power Hour - June 24, 2024 - #248: The Fundamentally Fascinating World of APIs with Marco Palladino

This podcast episode discusses APIs - what they are, why they're important, and how infrastructure plays a key role in enabling developers to build reliable and scalable APIs. The hosts interview Marco Paladino, an API expert, who provides insightful perspectives.

Data Engineering Podcast - June 23, 2024 - Stitching Together Enterprise Analytics With Microsoft Fabric

Dipti Borkar discusses Microsoft's new Fabric product for building data platforms. She covers how Fabric simplifies data management, supports open formats like Delta Lake, leverages AI with Microsoft Co-Pilot, and opens up extensibility so other vendors can build on the platform.