The Future of Production-Ready AI Agents, OpenAI’s Strawberry Project, and June’s Top Machine Learning Research

The Future of Production-Ready AI Agents, OpenAI’s Strawberry Project, and June’s Top Machine Learning Research


LangGraph: The Future of Production-Ready AI Agents

LangGraph allows developers to scope and narrow down the freedom of the LLM within a controlled flow. Here’s a quick intro to it.

OpenAI’s Strawberry Aims for Advanced Reasoning Capabilities

OpenAI is developing a new approach to AI with a project code named “Strawberry,” which aims for advanced reasoning capabilities.

The Top Machine Learning Research of June 2024

The top machine learning research of June 2024 covers topics like robotics, synthetic data, multilingual advancements, and more.

Retrieval-Augmented Generation (RAG): A Synergistic Approach to NLU and NLG

RAG synergistically harnesses the strengths of both NLU and NLG to produce text that is more accurate, contextually rich, and coherent.

Data Science Techniques for Predicting Insider Threats

Predicting insider threats using data science and AI can help prevent malicious and negligent insiders, among other risks.

5 Data Science Techniques for Improved Business Maintenance Prediction

For decades, downtime has remained a persistent issue regardless of industry. Now, with business maintenance prediction, you can anticipate when equipment failure will occur before any indicators are visible.

Industry, Opinion, Career Advice

The Rise of AI in HR: Transforming Recruitment, Retention, and Employee Engagement

In this article, we’re looking at how AI can transform your operations across three key areas: recruitment, retention, and employee engagement.


Join the ODSC AI Mini-Bootcamp for a deep dive into generative AI, LLMs, AI for robotics, machine learning, deep learning, NLP, and more. Learn from industry experts and gain hands-on experience, and earn a career-boosting certificate.

Register by next Friday for 70% off!


Data Science & AI News

ODSC’s AI Weekly Recap: Week of July 12th

This week’s AI news recap is all about Microsoft’s departure from the OpenAI board, public trust in AI, investments, and more!

Sign up here to get this as a newsletter every Friday morning.

AI Helping to Decode Sperm Whale Language

New AI research has uncovered the sophisticated structures in sperm whale communication, revealing complexities akin to human language

Is AI Going to Change the Beauty Industry?

South Korean cosmetics giant AmorePacific has launched an innovative AI beauty lab that hopes to capture customers with personalized care.

Microsoft Backs Away From OpenAI Board

In a massive reversal, Microsoft has announced its resignation from the board of OpenAI citing issues due to regulatory scrutiny.

University of Michigan Researchers Using AI to Understand Dogs

Researchers at the University of Michigan researchers are breaking new ground in AI by exploring if the technology can decode dog barks.

ODSC Highlights

Announcing Two New Tracks for ODSC West 2024 & Updates to Others

We’re STOKED to announce two new tracks coming to ODSC West this October?—?AI Agents and What’s Next in AI?—?plus updates to a few attendee-favorite tracks.


New Podcast Episode: The Future of Databases and Raising Startup Funding

In this episode, Dr. Mike Stonebraker, a rare breed of incredibly successful academic and entrepreneur, joins us to discuss the future of databases and how to raise funding for a startup.

Spotify | Apple | SoundCloud


Video of the Week: Reliable Data Orchestration for AI Applications

As Apache Airflow has become the standard for both data processing and machine learning pipelines, it has been foundational in supporting AI applications by providing an easy-to-use platform to build advanced data workflows.


Upcoming Webinars and Meetups:

Machine Learning Models To Interpretable Rules

Tue, Jul 23, 2024 7:30 AM?—?8:30 AM EDT

Some machine learning models are essentially decision rules with if-then-else constructs. In this webinar, we will present a few hands-on use cases with ‘imodels’ (python package for rule-based models) and ‘tidyrules’ (R package for ruleset manipulation and post-hoc reordering and pruning) along with utilities to convert the rulesets into SQL to bring them into a production setting.

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