Tag
Data development encompasses the processes of curating, organizing, and preparing datasets for use in machine learning and AI projects. This includes data sourcing, cleaning, labeling, and augmenting, ensuring that the data used is high-quality and relevant. Data-centric approaches prioritize the value of data itself, often leading to more reliable and efficient model outcomes.
All articles on Data Development
How AI speeds patient classification and recruitment in clinical trials
The medical industry is exploding with data. Manually labeling data for clinical trials is a challenge. Fortunately, AI can help.
September 21, 2023
•
Former U.S. Chief Data Scientist on past and future of data science
Past U.S. Chief Data Scientist DJ Patil talked with Snorkel AI CEO Alex Ratner on topics including the origin of the title “data scientist.”
September 12, 2023
•
How GPT helped expand our marketing team’s capacity
GPT-3 unlocked additional capacity by automating first drafts of internal updates—including blog summaries and sample tweets.
August 29, 2023
•
How AI saves money and improves banking complaint handling
Handling complaints effectively and efficiently with AI is essential to maintain customer satisfaction and protect the bank’s reputation.
August 24, 2023
•
How Wayfair built better, faster catalog tagging with Snorkel Flow
The following was originally published on Wayfair’s tech blog. We have cross-posted it here, edited only to fit Snorkel’s formatting guidelines. — One of our missions at Wayfair is to help our 22 million customers find the products they are looking for. For example, when a customer searches for a “modern yellow sofa” on Wayfair, we want to show the most
August 22, 2023
•
Accelerating predictive task time to value with generative AI
Generative AI can write poems, recite common knowledge, and extract information. GenAI can also help quickly build predictive pipelines.
August 17, 2023
•
Generative AI essentials: what everyone needs to know about GenAI
Experts named generative AI as the most transformative technology of the decade. What is genAI, how does it work and why does it matter?
August 16, 2023
•
How AI and foundation models improve email surveillance for banks
Recent developments in AI tools have made email surveillance for banks better than ever. See how foundation models and Snorkel Flow can help.
August 8, 2023
•
Getting better performance from foundation models (with less data)
Getting better performance from foundation models (with less data)
August 4, 2023
•
Data fuels enterprise AI value: 6 takeaways from the Gartner Hype Cycle for Artificial Intelligence, 2023
GenAI may be the most transformative technology of the past decade but data is where enterprises are able to realize real value from AI today.
August 2, 2023
•
How we built better GenAI with programmatic data development
We used weak supervision to programmatically curate instruction tuning data for open-source LLMs to build a better GenAI.
July 19, 2023
•
Snorkel AI and Together AI empower enterprises to build proprietary LLMs
Snorkel AI announced a strategic partnership with Together AI to enable organizations to build their own proprietary LLMs on their data.
July 17, 2023
•
Snorkel Flow Summer 2023: faster, easier and more secure
This release eases Snorkel Flow application creation process and tightens the iteration loop. It also upgrades our security certifications.
July 14, 2023
•
How to build reusable data cleaning pipelines with scikit-learn
State Farm senior data scientist Jason Goldfarb presented “Reusable Data Cleaning Pipelines in Python” at the Future of Data-Centric AI 2022.
July 3, 2023
•
The future of large language models is faster and more robust
Snorkel and affiliated academic labs have been hard at work reducing how computationally expensive large language models are.
June 29, 2023
•
Claypot AI CEO on why you should deploy models the hard way
Claypot AI CEO Chip Huyen presented “Platform for Real-Time Machine Learning” at Snorkel AI’s Future of Data-Centric AI 2022.
June 27, 2023
•
McKinsey QuantumBlack on automating data quality remediation with AI
Jacomo Corbo and Bryan Richardson with QuantumBlack present “Automating Data Quality Remediation With AI” at The Future of Data-Centric AI.
June 22, 2023
•
How to import Databricks data into Snorkel Flow
Databricks customers can access their data seamlessly within the Snorkel Flow platform with a few clicks with the new Databricks connector.
June 2, 2023
•
,
How MLCommons is democratizing data with public datasets
Peter Mattson, Google senior staff engineer and president of MLCommons.org, explained MLCommons at The Future of Data-Centric AI in 2022.
May 31, 2023
•
Snowflake Snowpark: cloud SQL and Python ML pipelines
Ahmad Khan, Snowflake’s head of AI /ML strategy, presented “Scalable SQL + Python ML Pipelines in the Cloud” at |The Future of Data-Centric AI in 2022.
May 26, 2023
•
Capital One’s data-centric solutions to banking business challenges
Three experts gave a look into Capital One’s data-centric solutions to solve the bank’s business problems and improve customer experience.
May 12, 2023
•
Poster presenters compete to win desktop GPU
Snorkel AI has accepted the first batch of applications for its first annual virtual poster competition. But there’s still time to add yours to the mix.
May 9, 2023
•
Use your data to build your AI moat: The Future of Data-Centric AI 2023
Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023 free virtual conference.
May 4, 2023
•
Redesigning Snorkel’s interactive machine learning systems
To empower our enterprise customers, we redesigned the ML systems behind Snorkel Flow to make sure we were meeting customer needs.
May 3, 2023
•
Debugging data to build better and more fair ML applications
Dr. Ce Zhang is an associate professor in Computer Science at ETH Zürich. He presented “Building Machine Learning Systems for the Era of Data-Centric AI” at Snorkel AI’s The Future of Data-Centric AI event in 2022.
April 28, 2023
•
Harvard professor: DataPerf and AI’s need for data benchmarks
Harvard Professor Vijay Janapa Reddi’s presentation: “DataPerf: Benchmarks for data” from Snorkel AI’s 2022 Future of Data-Centric AI event.
April 25, 2023
•
AI for banking in the era of ChatGPT
Forward-looking companies in finance, including banks, have looked to technology to meet challenges and are reaping the rewards of doing so.
April 20, 2023
•
Discovering climate change impact with Snorkel-enabled NLP
Prasanna Balaprakash, research and development lead from Argonne National Laboratory gave a presentation entitled “Extracting the Impact of Climate Change from Scientific Literature using Snorkel-Enabled NLP” at Snorkel AI’s Future of Data-Centric AI Workshop in August, 2022.
April 18, 2023
•
