BAIR

APRIL 3, 2023

Online interactive demo Open source training and serving framework System Overview Large language models (LLMs) have enabled increasingly powerful virtual assistants and chat bots, with systems such as ChatGPT , Bard , Bing Chat , and Claude able to respond to a breadth of user queries, provide sample code, and even write poetry.

Cloud Computing 145

Cloud Computing Artificial Intelligence Artificial Intelligence Data Quality 145

Towards AI

JUNE 25, 2024

This is the first one, where we look at some functions for data quality checks, which are the initial steps I take in EDA. We will use this table to demo and test our custom functions. Let’s get started. 🤠 🔗 All code and config are available on GitHub. The three functions below are created for this purpose. .")

ML 80

ML ML EDA Data Wrangling 80

AWS Machine Learning Blog

DECEMBER 15, 2023

Add a new Amazon DocumentDB connection by choosing Import data , then choose Tabular for Dataset type. On the Import data page, for Data Source , choose DocumentDB and Add Connection. Enter a connection name such as demo and choose your desired Amazon DocumentDB cluster. Enter a user name, password, and database name.

Machine Learning 124

Machine Learning Machine Learning AWS ML 124

The MLOps Blog

JUNE 27, 2023

” – James Tu, Research Scientist at Waabi Play with this project live For more: Dive into documentation Get in touch if you’d like to go through a custom demo with your team Comet ML Comet ML is a cloud-based experiment tracking and optimization platform. Data monitoring tools help monitor the quality of the data.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Towards AI

FEBRUARY 18, 2025

Building a demo is one thing; scaling it to production is an entirely different beast. New Standard of Data quality Deepseek has made significant strides in understanding the role of training data quality in AI model development. Everything changed when Deepseek burst onto the scene a month ago.

ML 102

ML ML Data Quality Algorithm 102

DataRobot

AUGUST 18, 2021

Note that DataRobot also automatically runs Data Quality Assessments on the dataset to identify and remedy potential data quality issues. To request a fraud detection demo shown in this blog post, contact us and we’ll explore a proof of value together. Request a Demo. See DataRobot in Action.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

ODSC - Open Data Science

MARCH 13, 2023

Some of the issues make perfect sense as they relate to data quality, with common issues being bad/unclean data and data bias. What are the biggest challenges in machine learning? select all that apply) Related to the previous question, these are a few issues faced in machine learning.

Machine Learning 94

Machine Learning Machine Learning Data Wrangling Data Science 94

DataRobot

JULY 16, 2021

They all serve to answer the question, “How well can my model make predictions based on data?” In performance, the trust dimensions are the following: Data quality — the performance of any machine learning model is intimately tied to the data it was trained on and validated against. Request a demo.

AI 98

AI AI Machine Learning Machine Learning 98

Alation

AUGUST 9, 2022

It is essential to consider data integrity when designing, implementing and using any system that stores, processes, and retrieves data. Many confuse data integrity with data quality. This strategy should also consider data security. Objective: a set of rules that determines what the data should look like.

Data Quality 52

Data Quality Data Governance Big Data Big Data 52

AWS Machine Learning Blog

APRIL 21, 2023

See the following code: # Configure the Data Quality Baseline Job # Configure the transient compute environment check_job_config = CheckJobConfig( role=role_arn, instance_count=1, instance_type="ml.c5.xlarge", These are key files calculated from raw data used as a baseline.

Data Quality 111

Data Quality ML ML AWS 111

IBM Journey to AI blog

NOVEMBER 29, 2023

It automatically identifies vulnerable individual data points and introduces “noise” to obscure their specific information. Although adding noise slightly reduces output accuracy (this is the “cost” of differential privacy), it does not compromise utility or data quality compared to traditional data masking techniques.

Data Scientist 100

Data Scientist Machine Learning Machine Learning Data Quality 100

AWS Machine Learning Blog

JUNE 3, 2024

In a single visual interface, you can complete each step of a data preparation workflow: data selection, cleansing, exploration, visualization, and processing. Custom Spark commands can also expand the over 300 built-in data transformations. Other analyses are also available to help you visualize and understand your data.

AWS 128

AWS ML ML AI 128

Iguazio

MAY 29, 2024

Eating Our Own Dogfood At Iguazio (acquired by McKinsey) we regularly create demos to show what a gen AI architecture looks like in action. Recently, we developed a call center demo that included multiple, swappable steps. In fact, when we developed the demo they were swapped to achieve different outcomes.

Data Pipeline 103

Data Pipeline AI AI ML 103

Precisely

NOVEMBER 14, 2023

It shows data quality and data governance rules and scores by asset to assess the trustworthiness of the data. Data governance of spatial data includes links to detailed maps, reading relative metadata, navigate the spatial data business assets in the impact or lineage view, and taking fast actions.

Data Governance 119

Data Governance Analytics Analytics Clustering 119

Precisely

JULY 20, 2023

Speed to keep up with an accelerating business environment and gain or maintain a competitive edge Improved data quality and integrity – particularly for SAP master data. When you set out to improve data quality and integrity, it’s critical to keep in mind the interdependence of process and data.

Data Quality 40

Data Quality 40

ODSC - Open Data Science

FEBRUARY 28, 2023

We couldn’t be more excited to announce our first group of partners for ODSC East 2023’s AI Expo and Demo Hall. These organizations are shaping the future of the AI and data science industries with their innovative products and services. Check them out below.

Data Science 96

Data Science Machine Learning Machine Learning AI 96

AWS Machine Learning Blog

JULY 11, 2024

This allows customers to further pre-train selected models using their own proprietary data to tailor model responses to their business context. The quality of the custom model depends on multiple factors including the training data quality and hyperparameters used to customize the model. Virginia) AWS Region (us-east-1).

AWS 132

AWS AI AI Data Quality 132

Precisely

MAY 31, 2023

When attempting to build a data strategy, the primary obstacle organizations face is a lack of resources. Teams are building complex, hybrid, multi-cloud environments, moving critical data workloads to the cloud, and addressing data quality challenges.

Data Quality 52

Data Quality Data Governance Data Observability ETL 52

Precisely

MAY 2, 2024

Why You Need Automated Customer Master Data Management In confronting these challenges, automation isn’t just a technological solution, it’s a strategic imperative. Precisely Automate empowers SAP analysts, SAP super users, and master data professionals to build these SAP-enabled Excel workbooks with a simple “record, map, run” process.

Data Quality 69

Data Quality Data Governance Analytics Analytics 69

ODSC - Open Data Science

OCTOBER 25, 2024

At the AI Expo and Demo Hall as part of ODSC West next week, you’ll have the opportunity to meet one-on-one with representatives from industry-leading organizations like Plot.ly, Google, Snowflake, Microsoft, and plenty more. Delphina Demo: AI-powered Data Scientist Jeremy Hermann | Co-founder at Delphina | Delphina.Ai

AI 52

AI AI Data Scientist Data Lakes 52

Alation

DECEMBER 21, 2022

Master Data Management (MDM) and data catalog growth are accelerating because organizations must integrate more systems, comply with privacy regulations, and address data quality concerns. What Is Master Data Management (MDM)? Implementing a data catalog first will make MDM more successful.

Data Quality 52

Data Quality Data Warehouse Data Profiling Data Governance 52

Precisely

JULY 15, 2024

Quality and formatting may differ with more autonomous domain teams producing data assets, making interoperability difficult and data quality guarantees elusive. Data discoverability and reusability. Data products must be properly designed and organized to be reused across the organization.

Data Governance 72

Data Governance DataOps Data Silos Data Pipeline 72

Alation

JUNE 17, 2021

Lastly, active data governance simplifies stewardship tasks of all kinds. Tehnical stewards have the tools to monitor data quality, access, and access control. A compliance steward is empowered to monitor sensitive data and usage sharing policies at scale. Sign up for a weekly demo today.

Data Governance 98

Data Governance Data Lakes Cloud Data Data Quality 98

Alation

JULY 19, 2021

Data intelligence integrates intelligence derived from active metadata into categories like data quality, governance, and profiling. To learn more, sign up for a weekly demo today. Get the latest data cataloging news and trends in your inbox. Metadata Management Best Practices. Subscribe to Alation's Blog.

Data Governance 105

Data Governance Machine Learning Machine Learning Artificial Intelligence 105

Precisely

FEBRUARY 5, 2024

However, large organizations that are still using manual, error-prone processes to manage materials and SAP product data processes know that creating and maintaining all that data is a real challenge. What are the Challenges of Managing Material Master Data? Poor data quality and downstream errors.

Data Quality 59

Data Quality Analytics Analytics Database 59

Precisely

MAY 3, 2023

ET for exciting keynotes, interactive panels, breakout sessions, and brand-new demos – all chock-full of valuable insights and takeaways for everyone, across industries. And, you’ll be able to see these capabilities in action with an exclusive demo. And, we’ll share how our latest innovations help you unlock success along the way.

Data Governance 52

Data Governance AWS Data Quality Analytics 52

ODSC - Open Data Science

SEPTEMBER 20, 2023

Tuesday is the first day of the AI Expo and Demo Hall , where you can connect with our conference partners and check out the latest developments and research from leading tech companies. Finally, get ready for some All Hallows Eve fun with Halloween Data After Dark , featuring a costume contest, candy, and more. What’s next?

Data Wrangling 52

Data Wrangling Data Science Machine Learning Machine Learning 52

DagsHub

DECEMBER 15, 2024

Improve your data quality for better AI DagsHub helps you easily curate and annotate your vision, audio, and document data with a single platform. Book a Demo Why It Matters for AI Teams Machine learning teams often struggle with fragmented workflows and high infrastructure costs.

ML 52

ML ML AI AI 52

Alation

SEPTEMBER 7, 2021

In the next section, let’s take a deeper look into how these key attributes help data scientists and analysts make faster, more informed decisions, while supporting stewards in their quest to scale governance policies on the Data Cloud easily. Find Trusted Data. Verifying quality is time consuming.

Data Governance 59

Data Governance Data Scientist Data Quality Data Profiling 59

Iguazio

JANUARY 14, 2025

Data management - Ensuring data quality through data ingestion, transformation, cleansing, versioning, tagging, labeling, indexing, and more. Development - High quality model training, fine-tuning or prompt tuning, validation and deployment with CI/CD for ML. Check out this demo of fine-tuning a gen AI chatbot.

AI 52

AI AI Deep Learning Deep Learning 52

Snorkel AI

NOVEMBER 9, 2023

As Yoav Shoham, co-founder of AI21 Labs, put it at our Future of Data-Centric AI event in June : “If you’re brilliant 90% of the time and nonsensical or just wrong 10% of the time, that’s a non-starter. While companies have—so far—done very little model distillation, it seems that data scientists and data science leaders see its potential.

Data Science 59

Data Science Data Scientist Data Preparation AI 59

Iguazio

AUGUST 9, 2024

We also show a banking chatbot demo that includes fine-tuning a model and adding guardrails. Data Management - Ensuring data quality through data ingestion, transformation, cleansing, versioning, tagging, labeling, indexing, and more. Using the same data for model improvement. The four pipelines include: 1.

AI 52

AI AI Data Science Deep Learning 52

Iguazio

AUGUST 9, 2024

We also show a banking chatbot demo that includes fine-tuning a model and adding guardrails. Data Management - Ensuring data quality through data ingestion, transformation, cleansing, versioning, tagging, labeling, indexing, and more. Using the same data for model improvement. The four pipelines include: 1.

AI 52

AI AI Data Science Deep Learning 52

Alation

FEBRUARY 7, 2023

There was a software product demo showcasing its ability to scan every layer of your application code, and I was intrigued to see how it worked. The team’s excitement only grew upon seeing demos of the lineage, which were promising. Table and column lineage form an essential data foundation. What’s the right lineage level?

Data Warehouse 52

Data Warehouse ETL Business Intelligence SQL 52

DataRobot

JUNE 1, 2021

In an earlier post, I shared the four foundations of trusted performance in AI : data quality, accuracy, robustness and stability, and speed. Request a Demo. Today I want to talk about another important aspect of trusted AI: the software and human management that facilitate the use of AI. AI You Can Trust.

AI 52

AI AI Machine Learning Machine Learning 52

IBM Journey to AI blog

JULY 27, 2023

Request a demo to see how watsonx can put AI to work There’s no AI, without IA AI is only as good as the data that informs it, and the need for the right data foundation has never been greater. Companies are increasingly receiving negative press for AI usage, damaging their reputation.

AI 69

AI AI Data Scientist Data Quality 69

Alation

NOVEMBER 11, 2021

For instance, establishing a basic data-sharing agreement with a consuming party could be done by a steward, but a request for more expansive or frequent access to a data source may have to be negotiated and agreed on by the data owner. Data Quality Metrics. Subscribe to Alation's Blog.

Data Governance 52

Data Governance Cloud Data Data Quality Azure 52