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Title & Speakers Event
Dataiku 2025-10-20 · 14:30
Pat Phrayme – Principal Solution Architect @ Dataiku

See how Dataiku's Universal AI Platform seamlessly integrates with AWS services including Amazon Bedrock and SageMaker while eliminating infrastructure complexity. Explore how their no-, low-, and full-code capabilities enable organizations to build sophisticated AI agents without requiring deep cloud expertise.

dataiku universal ai platform amazon bedrock amazon sagemaker AWS
Cockroach Labs 2025-10-20 · 13:00
Chris Casano – Sr. Director of Customer Engineering for the Americas @ Cockroach Labs

Discover CockroachDB, a cloud-native, PostgreSQL-compatible distributed SQL database that survives region failures, scales automatically, and simplifies operations. Learn deployment options as a fully managed service or self-hosted database on AWS with private networking and S3 backups.

cockroachdb distributed sql postgresql-compatible cloud-native
TigerGraph 2025-10-20 · 10:30
Dr. Victor Lee – Head of Product Marketing, Distinguished Graph Specialist @ TigerGraph

Explore how TigerGraph's high-performance, scalable graph database and analytics platform processes complex, interconnected datasets in real time. Perfect for use cases where understanding relationships and hidden patterns is critical—fraud detection, supply chain optimization, and advanced AI applications.

tigergraph graph database real-time analytics
Matillion 2025-10-20 · 09:00
David Lipowitz – Sr. Director of Matillion's NORAM Field Engineering team @ Matillion

Transform complex data engineering with just a spoken request. See how Maia, Matillion's agentic AI solution, autonomously designs, builds, and monitors data pipelines in minutes instead of hours—addressing the data engineering talent gap while freeing technical teams for strategic work.

maia Matillion agentic ai

In this episode, we travel back to one of the great origin stories in gene regulation: the discovery of lin-4, the first-ever microRNA. In Caenorhabditis elegans, scientists found that tiny non-coding RNAs could silence gene expression by pairing with target mRNAs — launching the entire field of microRNA biology. We explore: How lin-4 regulates developmental timing by repressing LIN-14 protein The discovery of small RNAs (22 and 61 nucleotides) as gene regulators The first evidence for RNA-RNA antisense interactions controlling translation Why this work reshaped our understanding of gene expression across species How a worm taught us that not all genes code for proteins 📖 Based on the research article: "The C. elegans Heterochronic Gene lin-4 Encodes Small RNAs with Antisense Complementarity to lin-14" Rosalind C. Lee, Rhonda L. Feinbaum & Victor Ambros. Published in Cell (1993). 🔗 https://doi.org/10.1016/0092-8674(93)90529-Y 🎧 Subscribe to the WOrM Podcast for more whole-organism breakthroughs that reshaped biology!

This podcast is generated with artificial intelligence and curated by Veeren. If you’d like your publication featured on the show, please get in touch.

📩 More info: 🔗 ⁠⁠www.veerenchauhan.com⁠⁠ 📧 [email protected]

AI/ML
WOrM Podcast: Whole Organism Analytics Podcast
Phuc Kien Nguyen – author , Alexander Thomas – author , Victor Lee – author

With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive business outcomes. This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available. You'll explore a three-stage approach to deriving value from connected data: connect, analyze, and learn. Victor Lee, Phuc Kien Nguyen, and Alexander Thomas present real use cases covering several contemporary business needs. By diving into hands-on exercises using TigerGraph Cloud, you'll quickly become proficient at designing and managing advanced analytics and machine learning solutions for your organization. Use graph thinking to connect, analyze, and learn from data for advanced analytics and machine learning Learn how graph analytics and machine learning can deliver key business insights and outcomes Use five core categories of graph algorithms to drive advanced analytics and machine learning Deliver a real-time 360-degree view of core business entities, including customer, product, service, supplier, and citizen Discover insights from connected data through machine learning and advanced analytics

data data-engineering graph-databases tigergraph AI/ML Analytics Cloud Computing
O'Reilly Data Engineering Books
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