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databricks
JUNE 18, 2025
This is an important step forward because it gives LLMs the context they need to take actions in a more natural form.
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databricks
JUNE 18, 2025
This is an important step forward because it gives LLMs the context they need to take actions in a more natural form.
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));
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AWS Machine Learning Blog
NOVEMBER 13, 2024
risk_rating=RiskRatingEnum.LOW, explanations_for_risk_rating="Just an example.", ) business_details = BusinessDetails( business_problem="The business problem that your model is used to solve.", business_stakeholders="The stakeholders who have the interest in the business that your model is used for.",
phData
OCTOBER 29, 2024
You should have at least Contributor access to the workspace Download SQL Server Management Studio Step-by-Step Guide for Refreshing a Single Table in Power BI Semantic Model Using a demo data model, let’s walk through how to refresh a single table in a Power BI semantic model. A window will open.
phData
JUNE 26, 2025
To tackle the signal-versus-noise problem, this deep dive covers three things: How GenAI productivity works and which bottlenecks keep clever demos from becoming real-world value. In turn, the same will happen in data engineering. How new skills, roles, and workflows turn GenAI outputs into scalable, better products.
ODSC - Open Data Science
JULY 24, 2025
If you want to move from demo to production, you need to treat agents like software — modular, observable, testable, and designed to evolve.” The session is both inspirational and tactical, aimed at helping developers think like engineers, not just hackers, when working with agentic systems. “If
Iguazio
JUNE 9, 2025
We introduce their new solution model deployment - NVIDIA NIM. Then, we show how to use NVIDIA NIM with MLRun to productize gen AI applications at scale and reduce risks , including a demo of a multi-agent banking chatbot. When you need to select from a variety of pre-built gen Al apps and demo/customize them. Key steps: 1.
Cambridge Intelligence
JUNE 23, 2025
You can prevent this by redesigning the data model, limiting expansion, grouping less important nodes, or even removing the central node entirely and indicating connections to it through glyphs or other styling. We find ourselves constantly using our Figma Design Kit internally, to envisage new demos, or tweak old ones.
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!
Hacker News
JULY 1, 2025
Well-versed in using agentic AI tooling (my daily driver is Claude Code these days), and happy to explore and demo how this can accelerate you and your team. . - DevOps practices to streamline your deployment and infrastructure management.
DataRobot
DECEMBER 16, 2021
and train models with a single click of a button. Advanced users will appreciate tunable parameters and full access to configuring how DataRobot processes data and builds models with composable ML. Explanations around data, models , and blueprints are extensive throughout the platform so you’ll always understand your results.
JULY 24, 2023
It is also called the second brain as it can store data that is not arranged according to a present data model or schema and, therefore, cannot be stored in a traditional relational database or RDBMS. It has an official website from which you can access the premium version of Quivr by clicking on the button ‘Try demo.’
Tableau
SEPTEMBER 12, 2024
We’re excited to share how Tableau Einstein, the new Tableau built on the Salesforce Platform and featuring Agentforce, will help everyone across your organization get proactive, intuitive insights in the flow of work from unified, trusted data. View the demo to see Tableau Einstein in action: What is Tableau Einstein?
Hacker News
JULY 18, 2023
What if you could automatically shard your PostgreSQL database across any number of servers and get industry-leading performance at scale without any special data modelling steps? And if you want to see demos of some of this functionality, be sure to join us for the livestream of the Citus 12.0 Updates page. Let’s dive in!
Iguazio
JULY 22, 2024
MongoDB for end-to-end AI data management MongoDB Atlas , an integrated suite of data services centered around a multi-cloud NoSQL database, enables developers to unify operational, analytical, and AI data services to streamline building AI-enriched applications. However, this is only the first step.
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.
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.
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.
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.
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.
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.
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.)
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.
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.
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?
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.
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.
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
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.
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.
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.
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.
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!
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.
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.
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,
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.
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.
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.
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?
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!
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.
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
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.
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