DataRobot

JUNE 16, 2021

The MLOps Management Agent provides a framework to automate the entire model deployment lifecycle in any environment or infrastructure such as Azure, GCP, AWS, or your own on-premise Kubernetes cluster. See It Live: Kubernetes Deployment on Azure. What’s the new page , you can find a demo video to see how it works.

Azure 52

Azure Data Science Clustering AWS 52

IBM Journey to AI blog

JULY 5, 2023

Whether you use IBM Cloud, Amazon AWS, Google Cloud, Microsoft Azure or some combination of platforms, it’s essential to understand, evaluate and optimize what you spend on cloud operations. Cloud providers offer some tools, including Azure cost management, Google Cloud cost management and AWS cloud financial management tools.

Azure 82

Azure AWS Big Data Big Data 82

Snorkel AI

OCTOBER 18, 2023

They can deploy these lightweight custom AI applications on-premises or in the cloud, enjoying enterprise-grade security in Snorkel’s SOC2-certified secure cloud or with leading cloud providers like AWS, Microsoft Azure, and Google Cloud. Book a demo today.

AI 64

AI AI Machine Learning Machine Learning 64

Snorkel AI

JULY 22, 2024

large language models are natively available as part of the Prompt Builder in Snorkel Flow: Here’s a quick demo of how easy it is to activate Meta Llama 405B in Snorkel Flow. models from their service of choice using Hugging Face, Together AI, Microsoft Azure ML, AWS SageMaker, and Google Vertex AI Model Garden. models are here!

AI 52

AI AI Azure Data Scientist 52

Snorkel AI

JULY 23, 2024

models are natively available as part of the Prompt Builder in Snorkel Flow: Here’s a quick demo of how easy it is to activate Meta Llama 405B in Snorkel Flow. models from their service of choice using Hugging Face, Together AI, Microsoft Azure ML, AWS SageMaker, and Google Vertex AI Model Garden. Book a demo today.

AI 52

AI AI Azure Data Scientist 52

ODSC - Open Data Science

JUNE 7, 2023

Microsoft’s Azure Data Lake The Azure Data Lake is considered to be a top-tier service in the data storage market. Amazon Web Services Similar to Azure, Amazon Simple Storage Service is an object storage service offering scalability, data availability, security, and performance. So, what are you waiting for?

Data Lakes 52

Data Lakes Azure Data Warehouse Hadoop 52

Snorkel AI

OCTOBER 18, 2023

They can deploy these lightweight custom AI applications on-premises or in the cloud, enjoying enterprise-grade security in Snorkel’s SOC2-certified secure cloud or with leading cloud providers like AWS, Microsoft Azure, and Google Cloud. Book a demo today.

AI 59

AI AI Machine Learning Machine Learning 59

Towards AI

SEPTEMBER 26, 2023

While the demo video for Alexa’s LLM primarily showcases text generation tasks, Amazon reveals that the Alexa LLM is connected to thousands of APIs and can execute complex sequences of tasks. Amazon Web Services (AWS) will be the primary cloud provider for Anthropic. – Louie Peters — Towards AI Co-founder and CEO Hottest News 1.OpenAI

AI 64

AI AI AWS Artificial Intelligence 64

Alation

SEPTEMBER 30, 2022

Our ability to catalog every data asset means that we can partner with other ISVs in data quality and observability, like BigEye and Soda ; privacy, like BigID and OneTrust; access governance, like Immuta and Privacera; not to mention the core platforms, like Snowflake , Databricks , AWS , GCP, and Azure.

Data Governance 92

Data Governance Azure SQL Data Quality 92

ODSC - Open Data Science

APRIL 3, 2023

Cloud Services: Google Cloud Platform, AWS, Azure. However, in this case, when comparing Microsoft Azure, AWS, or Google Cloud Platform, AWS seems to have taken over Azure as the winner since last year. Get your ODSC East 2023 Bootcamp ticket while tickets are 40% off!

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Snorkel AI

SEPTEMBER 21, 2023

Snorkel partners with leading cloud providers like AWS, Google Cloud, and Microsoft Azure, and our own cloud offers enterprise-grade security and is SOC-2 certified. Book a demo today. Adapt and refine models to changing conditions and criteria with enhanced explainability. Chat with us today!

AI 64

AI AI Data Scientist Natural Language Processing 64

Snorkel AI

OCTOBER 18, 2023

They can deploy these lightweight custom AI applications on-premises or in the cloud, enjoying enterprise-grade security in Snorkel’s SOC2-certified secure cloud or with leading cloud providers like AWS, Microsoft Azure, and Google Cloud. Book a demo today. See what Snorkel option is right for you.

AI 52

AI AI ML ML 52

phData

JANUARY 15, 2025

This is particularly useful for organizations already having PII data encrypted by a passkey in other data systems like legacy databases and object stores like AWS S3. In that scenario, the encryption and decryption code will reside outside Snowflake, for example, in an AWS Lambda. execute-api.us-west-2.amazonaws.com/snowflake-external-function-api-stage/'

AWS 52

AWS Data Governance Azure SQL 52

IBM Journey to AI blog

MARCH 6, 2024

Book a Turbonomic engineer-led demo The post Cloud migration best practices: Optimizing your cloud migration strategy appeared first on IBM Blog. Cloud migration strategies There are several types of cloud migration strategies that organizations employ, based on their specific needs.

Cloud Computing 87

Cloud Computing Azure AWS 87

ODSC - Open Data Science

JUNE 8, 2023

On Tuesday and Wednesday, we had our AI Expo & Demo Hall where over 20 of our partners set up to showcase their latest developments, tools, frameworks, and other offerings. Shoutout to Microsoft Azure, Oracle Cloud + NVIDIA, Red Hat, Taipy, WGU, dotData, iguazio, and everyone else who helped make the expo hall a success!

Data Science 52

Data Science Machine Learning Machine Learning ML 52

Snorkel AI

SEPTEMBER 21, 2023

Snorkel partners with leading cloud providers like AWS, Google Cloud, and Microsoft Azure, and our own cloud offers enterprise-grade security and is SOC-2 certified. Book a demo today. Adapt and refine models to changing conditions and criteria with enhanced explainability. Chat with us today!

AI 59

AI AI Data Scientist Natural Language Processing 59

Snorkel AI

OCTOBER 4, 2023

Snorkel offers enterprise-grade security in the SOC2-certified Snorkel Cloud , as well as partnerships with Google Cloud, Microsoft Azure, AWS, and other leading cloud providers. Book a demo today. See what Snorkel can do to accelerate your data science and machine learning teams.

AI 64

AI AI ML ML 64

phData

JANUARY 31, 2024

For a short demo on Snowpark, be sure to check out the video below. To see how Streamlit can be used to create an ML model that helps forecast energy prices, check out this helpful demo below. that were previously all needed to put your app into production. This blog is especially popular around March Madness.

Machine Learning 52

Machine Learning Machine Learning Python Data Scientist 52

phData

JULY 5, 2024

Technology Choices for Generative AI Applications Data Store Vector databases have emerged as the go-to data store solution in demos and quickstarts for generative AI applications built with RAG. This option also has minimal upfront infrastructure cost and operates on a pay-as-you-go model when using models.

AI 52

AI AI Database AWS 52

IBM Journey to AI blog

MARCH 6, 2024

Book a Turbonomic engineer-led demo The post Cloud migration best practices: Optimizing your cloud migration strategy appeared first on IBM Blog. Cloud migration strategies There are several types of cloud migration strategies that organizations employ, based on their specific needs.

Cloud Computing 73

Cloud Computing Azure AWS 73

Snorkel AI

OCTOBER 4, 2023

Snorkel offers enterprise-grade security in the SOC2-certified Snorkel Cloud , as well as partnerships with Google Cloud, Microsoft Azure, AWS, and other leading cloud providers. Book a demo today. Learn more See what Snorkel can do to accelerate your data science and machine learning teams.

AI 59

AI AI ML ML 59

IBM Journey to AI blog

JANUARY 10, 2023

Background on the Netezza Performance Server capability demo. East2 region of the Microsoft Azure cloud and the historical data (2003 – 2018) is contained in an external Parquet format file that resides on the Amazon Web Services (AWS) cloud within S3 (Simple Storage Service) storage. Prerequisites for the demo.

Data Warehouse 52

Data Warehouse Data Analysis Data Analysis SQL 52

Snorkel AI

SEPTEMBER 21, 2023

Snorkel partners with leading cloud providers like AWS, Google Cloud, and Microsoft Azure, and our own cloud offers enterprise-grade security and is SOC-2 certified. Book a demo today. Adapt and refine models to changing conditions and criteria with enhanced explainability. See what Snorkel option is right for you.

AI 52

AI AI Data Scientist Natural Language Processing 52

DataRobot

SEPTEMBER 14, 2021

It’s essential that AI Cloud works seamlessly with the tools and systems you already have, from data clouds like Snowflake and Palantir, to a broad set of IT operations systems to public clouds from AWS, Azure and Google Cloud and pervasive virtual machine infrastructure in the data center and edge. Start now with a Free Trial.

AI 52

AI AI Data Scientist Machine Learning 52

The MLOps Blog

JUNE 27, 2023

For example, if you use AWS, you may prefer Amazon SageMaker as an MLOps platform that integrates with other AWS services. SageMaker Studio offers built-in algorithms, automated model tuning, and seamless integration with AWS services, making it a powerful platform for developing and deploying machine learning solutions at scale.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Snorkel AI

OCTOBER 4, 2023

Snorkel offers enterprise-grade security in the SOC2-certified Snorkel Cloud , as well as partnerships with Google Cloud, Microsoft Azure, AWS, and other leading cloud providers. Book a demo today. See what Snorkel option is right for you.

AI 52

AI AI ML ML 52

phData

JULY 2, 2024

conda activate snowflake-demo ). When you use the Snowflake Python connector, you are fetching the data from Snowflake and bringing it to the compute instance(the public cloud you are using- AWS/Azure/GCP) where your Python code is running for further processing. Create conda environment ( conda env create -f environment.yml ).

Python 52

Python SQL Data Pipeline ML 52

Pickl AI

APRIL 26, 2024

Have you worked with cloud-based data platforms like AWS, Google Cloud, or Azure? I have experience working with cloud-based data platforms, such as AWS S3 for data storage, Google BigQuery for data querying, and Azure Machine Learning for deploying machine learning models. Additional Benefits Free demo sessions.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

O'Reilly Media

NOVEMBER 28, 2023

How will AI adopters react when the cost of renting infrastructure from AWS, Microsoft, or Google rises? Second, while OpenAI’s GPT-4 announcement last March demoed generating website code from a hand-drawn sketch, that capability wasn’t available until after the survey closed. But they may back off on AI development.

AI 118

AI AI Data Analysis Data Analysis 118

The MLOps Blog

MAY 10, 2023

Once a model is packaged as a Bento, it can be deployed to various serving platforms like AWS Lambda , Kubernetes , or Docker. MLFlow allows data scientists to easily package their models in a standard format that can be deployed to various platforms like AWS SageMaker , Azure ML , and Google Cloud AI Platform.

Python 105

Python ML ML Database 105

The MLOps Blog

OCTOBER 20, 2023

Some of the most widely adopted tools in this space are Deepnote , Amazon SageMaker , Google Vertex AI , and Azure Machine Learning. This typically involves dealing with complexities such as ensuring secure and simple access to internal data warehouses, data lakes, and databases. Aside neptune.ai

SQL 52

SQL Database Data Scientist Python 52

AWS Machine Learning Blog

FEBRUARY 29, 2024

The SageMaker Studio domains are deployed in VPC only mode, which creates an elastic network interface for communication between the SageMaker service account (AWS service account) and the platform account’s VPC. This process of ordering a SageMaker domain is orchestrated through a separate workflow process (via AWS Step Functions ).

AWS 129

AWS AI AI Data Scientist 129

Dataconomy

APRIL 25, 2023

But first, you need to run the Visual ChatGPT demo, and here is how to do it. For the corporate world in 2023, these are the top AI tools: Microsoft Azure AI : This is a comprehensive cloud platform that offers a range of AI services and solutions for various domains, such as vision, speech, language, decision, and web search.

AI 217

AI AI Artificial Intelligence Artificial Intelligence 217

The MLOps Blog

OCTOBER 3, 2023

For example, you can use BigQuery , AWS , or Azure. How awful are they?” Watch the product demo Check the docs See in app Full screen preview The pipelining stack Piotr: Did you use any pipelining tools? It’s almost like a specialized data processing and storage solution. They’re terrible people.

ML 52

ML ML Data Scientist Machine Learning 52

Mlearning.ai

JANUARY 26, 2023

Presentations include demos of functionality and proposals for the future development work, primarily funded by the Horizon Europe programme. BUILDING EARTH OBSERVATION DATA CUBES ON AWS. AWS , GCP , Azure , CreoDIAS , for example, are not open-source, nor are they “standard”. Data, 4(3), 92. Ferreira, K. Queiroz, G.

AWS 98

AWS Database Data Science Clean Data 98

Dataconomy

JULY 19, 2023

Today, at Microsoft Inspire, Meta and Microsoft announced support for the Llama 2 family of large language models (LLMs) on Azure and Windows. Ready for fine-tuning on platforms like AWS, Azure, and Hugging Face’s AI model hosting platform, it’s set to be a game-changer. A demo version is readily available on Huggingface.

AI 172

AI AI Artificial Intelligence Artificial Intelligence 172

The MLOps Blog

DECEMBER 29, 2022

A GPU machine on GCP, or AWS has a CPU on it. How do you look at an On-Premises GPU cluster, managed by NVIDIA AI enterprise software suite in combination with Red Hat OpenShift or VMware Tanzu, over something like AWS stack or Azure stack for the same GPU cluster managed by EKS, for example?

ML 52

ML ML Machine Learning Machine Learning 52