ODSC - Open Data Science

DECEMBER 5, 2024

Navigating the Complex World of Financial Data Engineering Here’s an exploration of a recent podcast, which provides a roadmap for understanding the challenges, opportunities, and future of financial data engineering. Register now!

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Data Engineering Data Engineering Data Engineering Data Engineer 40

ODSC - Open Data Science

APRIL 2, 2025

Led by thought leaders like Sheamus McGovern, Founder of ODSC and Head of AI at Cortical Ventures, alongside Ali Hesham, a skilled Data Engineer from Ralabs, this bootcamp isnt just another courseits a launchpad for technical teams ready to take AI adoption seriously. Watch the full webinar of this topic on-demand here on Ai+ Training!

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AI AI Data Wrangling Data Scientist 52

ODSC - Open Data Science

FEBRUARY 22, 2024

ODSC Highlights Announcing the First Speakers for the 2024 Data Engineering Summit Featuring topics like data-centric AI, Apache tools, and more, these are the first sessions announced for the Data Engineering Summit this April. We’ll also touch upon details of their book and what went into writing it.

Machine Learning 52

Machine Learning Machine Learning AI Artificial Intelligence 52

ODSC - Open Data Science

OCTOBER 7, 2024

And before the hackathon starts, make sure to begin your journey with NVIDIA’s exclusive webinar. There you’ll hear from Ivan Nardini, Developer Relations Engineer at Google Cloud and discover the latest advancements in AI and learn how to leverage Google Cloud’s powerful tools and infrastructure to drive innovation in your organization.

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Data Scientist Data Science Machine Learning Machine Learning 52

ODSC - Open Data Science

MARCH 10, 2023

Video of the Week: Getting Into Data Engineering In this video, Joe Reis CEO of Ternary Data provides valuable insights on navigating the current economic climate and what it means for aspiring data engineers. Don’t let old market data point you in the wrong direction. Check out a few of them below.

Machine Learning 52

Machine Learning Machine Learning Data Science AI 52

ODSC - Open Data Science

DECEMBER 28, 2023

Top 10 Pre-Trained Models for Image Embedding Every Data Scientist Should Know This article walks through the top 10 state-of-the-art pre-trained models to get started with image embedding. Organizational Processes for Machine Learning Risk Management Organizational processes are a key nontechnical determinant of reliability in ML systems.

Python 52

Python Data Science Machine Learning Machine Learning 52

ODSC - Open Data Science

MARCH 7, 2024

The Future of Data Engineering Goes Through Data Contracts Data contracts define a link between the data producer and one or more consumers of the data. It also links a logical world, dear to architects, and an implementation world, loved by engineers.

AI 52

AI AI Data Science Data Engineering 52

ODSC - Open Data Science

SEPTEMBER 26, 2024

As part of our efforts to grow the data science community, we are offering our support to startups in these fields to help them spread the word to VCs, conference audiences, and the data science community. Where do explainable AI models come into play? Apply now for a chance to participate, and we’ll be in touch if space is available.

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Snorkel AI

JUNE 22, 2023

One should really think of us at the level of doing the technical implementation work around designing, developing and operationally deploying data products and services that use ML. I’ll give you a rough guide to what we’ll talk about—in the first place, a very macro and micro view of the importance of data.

Data Quality 52

Data Quality ML ML AI 52

ODSC - Open Data Science

SEPTEMBER 8, 2023

Video of the Week: Orchestrating Data Assets instead of Tasks, with Dagster Explore how orchestrators serve as the backbone for keeping data assets, from datasets to ML models, up-to-date and synchronized. If you’re fascinated by data engineering, machine learning, and the pivotal role of orchestrators.

AI 52

AI AI Machine Learning Machine Learning 52

ODSC - Open Data Science

SEPTEMBER 12, 2024

Machine Learning and Data Science: Academia vs. Industry In this article, we compiled a list of the top five problems that every ML specialist faces only on the job, highlighting the gap between university curriculum and real-world practice. Ideal for anyone interested in machine learning, AI development, or data science careers.

Data Visualization 40

Data Visualization Data Science AI AI 40

ODSC - Open Data Science

JANUARY 28, 2025

In a recent webinar, AI Mastery 2025: Skills to Stay Ahead in the Next Wave, hosted by Sheamus McGovern, founder of ODSC and a venture partner at Cortical Ventures, shared invaluable insights into the evolving AI landscape. LLM Engineers: With job postings far exceeding the current talent pool, this role has become one of the hottest inAI.

AI 40

AI AI Machine Learning Machine Learning 40

Snorkel AI

JULY 5, 2023

Abhishek Ratna, in AI ML marketing, and TensorFlow developer engineer Robert Crowe, both from Google, spoke as part of a panel entitled “Practical Paths to Data-Centricity in Applied AI” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Is more data always better? AR : Absolutely.

Supervised Learning 52

Supervised Learning AI AI ML 52

ODSC - Open Data Science

SEPTEMBER 19, 2024

As part of our efforts to grow the data science community, we are offering our support to startups in these fields to help them spread the word to VCs, conference audiences, and the data science community. Apply now for a chance to participate, and we’ll be in touch if space is available.

AI 40

AI AI Big Data Analytics Big Data Analytics 40

ODSC - Open Data Science

FEBRUARY 29, 2024

LLM-Native Products: Industry Best Practices and What’s Ahead In this preview of an ODSC East session, the author discusses some of the best practices for model building with a data science team. Spotify | SoundCloud | Apple Upcoming Webinars: Interview “You’re Probably Overthinking It.

Python 52

Python Data Science ML ML 52

Precisely

SEPTEMBER 26, 2024

Above all, you must remember that trusted AI starts with trusted data. And trusted data requires data integrity: data that’s accurate, consistent, and contextualized. Without it, your organization risks crumbling under conflicting data definitions before even beginning your AI projects. The stakes are very high.

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AI AI Data Governance Data Quality 75

Iguazio

MARCH 20, 2025

To see the complete conversation and dive into their insights, watch the webinar here. AI engineering - AI is being democratized for developers and engineers, expanding beyond the limited pool of data scientists. See the webinar for more Gartner trends. Watch the webinar to see. Whats Next in 2025?

AI 59

AI AI Data Pipeline Data Scientist 59

Flipboard

JUNE 16, 2025

Data Analysis and Transition to Machine Learning: Skills: Python, SQL, Excel, Tableau and Power BI are relevant skills for entry-level data analysis roles. Next Steps: Transition into data engineering (PySpark, ETL) or machine learning (TensorFlow, PyTorch). Billion Alliance Why Do We Need Local LLMs Beyond Privacy?

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