DataRobot

JANUARY 20, 2022

As health services consolidate and organizational boundaries creep, there is an urgent need to implement highly flexible and scalable data management systems to enable real-time data sharing and modelling across systems, partners, and third party organizations. Technology Alliance.

Data Science 145

Data Science Data Warehouse Analytics Analytics 145

Cambridge Intelligence

JANUARY 10, 2025

Investigating a machine alert in an IT network reveals traffic to a blacklisted address Which link visualization style is right for your data? Effective link styling should be an important consideration for your graph visualization data model. FREE: Start your trial today Visualize your data!

Data Visualization 52

Data Visualization Data Modeling Data Models 52

phData

MAY 31, 2023

From there, that question is fed into ChatGPT along with dbt data models that provide information about the fields in the various tables. From there, ChatGPT generates a SQL query which is then executed in the Snowflake Data Cloud , and the results are brought back into the application in a table format.

SQL 52

SQL Data Modeling Data Models Database 52

IBM Journey to AI blog

NOVEMBER 29, 2023

Specifically, they must quickly and easily grasp how closely the synthetic data maintains the statistical properties of their existing data model. How to get started with synthetic data in watsonx.ai This data can also can be used to help enhance the realism of client demos and employee training materials.

Data Scientist 100

Data Scientist Machine Learning Machine Learning Data Quality 100

AWS Machine Learning Blog

NOVEMBER 21, 2024

Make sure you’re updating the data model ( updateTrackListData function) to handle your custom fields. This is particularly useful for automation or when you need to create multiple jobs. val(option).text(option)); text(option)); }); // Example: Adding a checkbox for quality issues var qualityCheck = $(' ').attr({ append(qualityCheck).append(qualityLabel));

AWS 105

AWS AI AI Natural Language Processing 105

Iguazio

MAY 29, 2024

The most common tools in use are Prometheus and Grafana Alerting, based on logs, infra, or ML monitoring outputs ML specific monitoring Experiment tracking: Parameters, models, results, etc. Eating Our Own Dogfood At Iguazio (acquired by McKinsey) we regularly create demos to show what a gen AI architecture looks like in action.

Data Pipeline 104

Data Pipeline AI AI ML 104

ODSC - Open Data Science

FEBRUARY 14, 2023

Since its release on November 30, 2022 by OpenAI , the ChatGPT public demo has taken the world by storm. It is the latest in the research lab’s lineage of large language models using Generative Pre-trained Transformer (GPT) technology. This could be achieved through the use of a NoSQL data model, such as document or key-value stores.

Database 124

Database AI AI Natural Language Processing 124

Cambridge Intelligence

OCTOBER 25, 2023

When you design your data model, you’ll probably begin by sketching out your data in a graph format – representing entities as nodes and relationships as links. Working in a graph database means you can take that whiteboard model and apply it directly to your schema with relatively few adaptations.

Database 64

Database Data Modeling Data Models Algorithm 64

Iguazio

MAY 21, 2024

In the end, we show a demo of a chatbot that was developed with crowdsourcing. Gen AI Reference Architecture Following Established ML Lifecycles Building generative AI applications requires four main elements: Data management - Ingesting , preparing and indexing the data. Model servers (LLM, CNN, etc.)

AI 59

AI AI ML ML 59

phData

OCTOBER 27, 2023

Setup The demo is available in this repo. Creating an end-to-end feature platform with an offline data store, online data store, feature store, and feature pipeline requires a bit of initial setup. Creating the Feature Store This demo uses Feast as the feature store, Snowflake as the offline store, and Redis as the online store.

Machine Learning 52

Machine Learning Machine Learning Python ML 52

Snorkel AI

OCTOBER 18, 2023

Claims data is often noisy, unstructured, and multi-modal. Manually aligning and labeling this data is laborious and expensive, but—without high-quality representative training data—models are likely to make errors and produce inaccurate results. Book a demo today.

AI 64

AI AI Machine Learning Machine Learning 64

Iguazio

DECEMBER 18, 2023

For data science practitioners, productization is key, just like any other AI or ML technology. Successful demos alone just won’t cut it, and they will need to take implementation efforts into consideration from the get-go, and not just as an afterthought. What are their expectations from this hyped technology?

ML 64

ML ML AI AI 64

Cambridge Intelligence

JUNE 18, 2024

FREE: Start your ReGraph trial today Visualize your data! Request full access to our ReGraph SDK, demos and live-coding playground. The data model Our Sandbox contains a subset of Neo4j-related Stack Overflow questions. FREE: Start your ReGraph trial today Visualize your data!

Database 59

Database Data Modeling Data Models Data Visualization 59

AWS Machine Learning Blog

NOVEMBER 10, 2023

Refer to the notebook for the complete source code and feel free to adapt it with your own data. from train import fit fit('data', 100, 10, 1, 'auto', 0.01) Alternatively, run the train script from the command line in the same way you may want to use it in a container. It would then be possible to use the Python Debugger, pdb.

ML 122

ML ML Algorithm Python 122

Iguazio

JANUARY 14, 2025

Development - High quality model training, fine-tuning or prompt tuning, validation and deployment with CI/CD for ML. Application - Bringing business value to live applications through a real-time application pipeline that handles requests, data, model and validations. Check out this demo of fine-tuning a gen AI chatbot.

AI 52

AI AI Deep Learning Deep Learning 52

The MLOps Blog

OCTOBER 8, 2024

In the machine learning (ML) and artificial intelligence (AI) domain, managing, tracking, and visualizing model training processes is a significant challenge due to the scale and complexity of managed data, models, and resources. Use the plugin by installing it with pip install flytekitplugins-neptune. contact-us.

ML 52

ML ML Machine Learning Machine Learning 52

Cambridge Intelligence

APRIL 4, 2023

Neo4j Browser is great for developers who want to explore their data model The data visualization toolkits Our graph visualization toolkits are KeyLines and ReGraph – the only difference is that KeyLines is for JavaScript developers and ReGraph is designed for React apps.

Data Visualization 59

Data Visualization Database Data Modeling Data Models 59

Tableau

DECEMBER 7, 2022

As you ingest and integrate data, the customer graph uses AI modeling to map relationships between data points and allows them to be consumed together. . Harmonize your customer data into a unified view by mapping data sources into shared data models in Genie. Optimize recruiting pipelines.

Tableau 98

Tableau Data Warehouse Data Pipeline Data Visualization 98

Tableau

DECEMBER 7, 2022

As you ingest and integrate data, the customer graph uses AI modeling to map relationships between data points and allows them to be consumed together. . Harmonize your customer data into a unified view by mapping data sources into shared data models in Genie. Optimize recruiting pipelines.

Tableau 98

Tableau Data Warehouse Data Pipeline Data Visualization 98

Snorkel AI

OCTOBER 18, 2023

Claims data is often noisy, unstructured, and multi-modal. Manually aligning and labeling this data is laborious and expensive, but—without high-quality representative training data—models are likely to make errors and produce inaccurate results. Book a demo today.

AI 59

AI AI Machine Learning Machine Learning 59

Cambridge Intelligence

FEBRUARY 15, 2024

If this were a real OSINT investigation, we’d want to search across all available data sources, and SocialNet comes with a bulk search API to do just that. But for this demo, we’ll keep things simple and focus on just two sources: the UK Companies House API (which registers companies in the UK), and LinkedIn.

Data Visualization 64

Data Visualization Data Modeling Data Models 64

phData

MARCH 11, 2024

Traditional CDPs : These platforms are out-of-the-box solutions designed to gather and house their own data store – separate from your core data infrastructure. Characterized by their plug-and-play nature, traditional CDPs often come with lengthy and costly setup processes predicated on rigid data model prerequisites.

Data Warehouse 52

Data Warehouse Cloud Data Data Modeling Data Models 52

Tableau

DECEMBER 1, 2021

I did not realize as Chris demoed his prototype PhD system that it would become Tableau Desktop , a product used today by millions of people around the world to see and understand data, including in Fortune 500 companies, classrooms, and nonprofit organizations. Relationships in Tableau 2020.2 (May Beginning in Tableau 2020.2,

Tableau 145

Tableau ML ML Database 145

DataRobot Blog

SEPTEMBER 13, 2022

Companies at this stage will likely have a team of ML engineers dedicated to creating data pipelines, versioning data, and maintaining operations monitoring data, models & deployments. By now, data scientists have witnessed success optimizing internal operations and external offerings through AI.

Data Scientist 52

Data Scientist ML ML AI 52

DataRobot

JUNE 23, 2021

DataRobot offers a few capabilities that help to make the decision: Leaderboard helps to track modeling iterations and compare accuracy. It ensures that the models are compared on exactly the same validation or holdout data. Model comparison provides a visual way to compare models, using Profit Curve, ROC, and Lift Charts.

ML 52

ML ML Data Scientist Machine Learning 52

Iguazio

DECEMBER 18, 2023

For data science practitioners, productization is key, just like any other AI or ML technology. Successful demos alone just won’t cut it, and they will need to take implementation efforts into consideration from the get-go, and not just as an afterthought. What are their expectations from this hyped technology?

ML 52

ML ML AI AI 52

ODSC - Open Data Science

APRIL 6, 2023

But its status as the go-between for programming and data professionals isn’t its only power. Within SQL you can also filter data, aggregate it and create valuations, manipulate data, update it, and even do data modeling.

SQL 98

SQL Data Scientist Database Data Science 98

Cambridge Intelligence

NOVEMBER 20, 2023

And the dates span from 1887 to 1985, so players who weren’t alive at the same time can be linked through older or younger intermediaries, which we’ll see by inspecting data timelines using KronoGraph. Which data elements should be nodes and what should connect them? FREE: Start your KronoGraph trial today Visualize your data!

Azure 64

Azure Database Data Modeling Data Models 64

Snorkel AI

OCTOBER 18, 2023

Claims data is often noisy, unstructured, and multi-modal. Manually aligning and labeling this data is laborious and expensive, but—without high-quality representative training data—models are likely to make errors and produce inaccurate results. Book a demo today. See what Snorkel option is right for you.

AI 52

AI AI ML ML 52

Mlearning.ai

JUNE 16, 2023

Generative AI can be used to automate the data modeling process by generating entity-relationship diagrams or other types of data models and assist in UI design process by generating wireframes or high-fidelity mockups. diagram Using ChatGPT to build system diagrams — Part II Generate C4 diagrams using mermaid.js

AI 52

AI AI Data Analysis Data Analysis 52

Mlearning.ai

AUGUST 18, 2023

MLOps cover all of the rest, how to track your experiments, how to share your work, how to version your models etc (Full list in the previous post. ). Also same expertise rule applies for an ML engineer, the more versed you are in MLOps the better you can foresee issues, fix data/model bugs and be a valued team member.

ML 52

ML ML Python Data Modeling 52

phData

MARCH 1, 2024

That said, the creation of the flattened table could be pushed upstream of Sigma into Snowflake (with the opportunity to employ data modeling software like dbt). Contact us today for a demo. What is the Clinical Cohort Creation Accelerator? The accelerator then: Identifies patients who match the criteria. We’ve got you covered.

Machine Learning 52

Machine Learning Machine Learning Python Data Modeling 52

AWS Machine Learning Blog

MAY 31, 2024

For this example, we created a bucket with versioning enabled with the name bedrock-kb-demo-gdpr. Select the uploaded file and from Actions dropdown and choose the Query with S3 Select option to query the.csv data using SQL if the data was loaded correctly. After you create the bucket, upload the.csv file to the bucket.

AWS 134

AWS Machine Learning Machine Learning Database 134

Iguazio

JANUARY 22, 2024

If you train a model on blogs that have toxic language or bias language towards different genders you get the same results. The result will be the inability to trust the model’s results. Monitoring - Monitor all resources, data, model and application metrics to ensure performance.

Data Pipeline 52

Data Pipeline ML ML Data Warehouse 52

IBM Journey to AI blog

SEPTEMBER 17, 2024

The solution is designed to manage enormous memory capacity, enabling you to build large and complex data models while maintaining smooth performance and usability. Many customers use models with hundreds of thousands or even millions of data points.

Analytics 40

Analytics Analytics Data Warehouse Database 40

Heartbeat

SEPTEMBER 7, 2023

This is essential for understanding which changes led to improved (or degraded) model performance. experiment experiment = comet_ml.Experiment(project_name="feature-importance-demo") #loading saved xgboost model model = xgb.Booster() model.load_model("model.h5") #initializing x_test and y_test y_test = pd.read_csv(" /.")

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Cambridge Intelligence

NOVEMBER 8, 2023

Each node in my data model represents an earthquake, and each is colored and sized according to its magnitude: Red for a magnitude of 7+ (classed as ‘major’) Orange for a magnitude of 6 – 6.9 If you’re ready to start visualizing your data on a map, sign up for a free trial. Yellow for a magnitude of 5.5 – 5.9

Data Visualization 64

Data Visualization Clustering Database Data Modeling 64