Data Science Dojo

JULY 24, 2024

In this blog, we will explore all the information you need to know about Llama 3.1 This extensive training dataset helps the model to learn and generalize from a vast amount of information, improving its performance across various tasks. With a staggering 405 billion parameters, Llama 3.1 and its impact on the world of LLMs.

Azure 396

Azure AWS AI AI 396

Towards AI

JANUARY 3, 2024

Photo by Annie Spratt on Unsplash Information extraction is the process of automating the retrieval of specific information related to a specific topic from a collection of texts or documents. Large language models can easily extract information regarding attributes given a context and a schema.

Natural Language Processing 119

Natural Language Processing Machine Learning Machine Learning AWS 119

Data Science 101

JANUARY 17, 2020

Azure Machine Learning Datasets Learn all about Azure Datasets, why to use them, and how they help. AI Powered Speech Analytics for Amazon Connect This video walks thru the AWS products necessary for converting video to text, translating and performing basic NLP. Very Informative! Thanks for reading.

Cloud Data 120

Cloud Data Data Science Azure ETL 120

Data Science Dojo

APRIL 26, 2024

The model will be available on multiple platforms, including AWS, Databricks, Google Cloud, Hugging Face, Kaggle, IBM WatsonX, Microsoft Azure, NVIDIA NIM, and Snowflake. The large context window offers improved insights for the LLM to portray a better understanding of data and contextual information within it.

AI 417

AI AI Natural Language Processing Azure 417

databricks

JUNE 11, 2025

Agent Bricks is optimized for common industry use cases, including structured information extraction, reliable knowledge assistance, custom text transformation, and orchestrated multi-agent systems. We auto-optimize over the knobs, gain confidence that you are on the most optimized settings.

Analytics 237

Analytics Analytics AI AI 237

O'Reilly Media

NOVEMBER 26, 2024

Examples of these skills are artificial intelligence (prompt engineering, GPT, and PyTorch), cloud (Amazon EC2, AWS Lambda, and Microsoft’s Azure AZ-900 certification), Rust, and MLOps. For example in Topic 1, the skills “AWS” and “cloud” map to the job titles cloud engineer, AWS solutions architect, and technology consultant.

Cloud Computing 114

Cloud Computing AWS Azure Machine Learning 114

AWS Machine Learning Blog

SEPTEMBER 20, 2023

For example, you might have acquired a company that was already running on a different cloud provider, or you may have a workload that generates value from unique capabilities provided by AWS. We show how you can build and train an ML model in AWS and deploy the model in another platform.

ML 135

ML ML Azure AWS 135

AWS Machine Learning Blog

JANUARY 22, 2025

Advancements in multi-modal large language models (MLLMs), like Anthropics state-of-the-art Claude 3 , offer cutting-edge computer vision techniques, enabling Anthropics Claude to interpret visual information and understand the relationships, activities, and broader context depicted in images.

AWS 117

AWS AI AI Machine Learning 117

Towards AI

NOVEMBER 6, 2024

Generative models are prone to “hallucination”, meaning they can produce incorrect or misleading information if they lack the correct context or are fed noisy data. This is valuable in the context of RAG because it ensures that the generative model has access to high-quality, contextually appropriate information.

Azure 119

Azure AWS Python AI 119

AWS Machine Learning Blog

JULY 25, 2024

With Amazon Q, you can quickly find answers to questions, generate summaries and content, and complete tasks by using the information and expertise stored across your company’s various data sources and enterprise systems.

Azure 126

Azure AWS AI AI 126

Data Science 101

FEBRUARY 22, 2020

This weeks news includes information about AWS working with Azure, time-series, detecting text in videos and more. Amazon Redshift now supports Authentication with Microsoft Azure AD Redshift, a data warehouse, from Amazon now integrates with Azure Active Directory for login. Welcome to Cloud Data Science 8.

Cloud Data 103

Cloud Data Data Science Power BI Azure 103

Dataconomy

JANUARY 13, 2025

Why Nvidia stock could soar after CES 2025 keynote Microsofts expansion in AI services Microsoft is significantly investing in AI infrastructure, particularly through its Azure cloud computing unit, which recorded a 33% revenue growth last quarter. Beyond AWS, Amazons diverse business operations further solidify its growth prospects.

Cloud Computing 91

Cloud Computing AI AI Azure 91

databricks

JUNE 11, 2025

Agent Bricks is optimized for common industry use cases, including structured information extraction, reliable knowledge assistance, custom text transformation, and building multi-agent systems. Agents deployed on AWS, GCP, or even on-premise systems can now be connected to MLflow 3 for agent observability.

AI 130

AI AI SQL Data Science 130

AWS Machine Learning Blog

JANUARY 25, 2024

You can use Amazon Q to have conversations, solve problems, generate content, gain insights, and take action by connecting to your company’s information repositories, code, data, and enterprise systems. For more information, see Introducing Amazon Q, a new generative AI-powered assistant (preview). Region Launch Stack N.

AWS 141

AWS Azure AI AI 141

Analytics Vidhya

FEBRUARY 7, 2023

Gather the information you need to make the best […] The post Types of Cloud Computing Platforms appeared first on Analytics Vidhya. This blog post will overview the different cloud platform types, their benefits, and their uses.

Cloud Computing 328

Cloud Computing Analytics Analytics Azure 328

Flipboard

MARCH 7, 2023

It allows you to build communities of interest, gather ideas and feedback, and keep everyone informed. We’re excited to announce that you can now use the Amazon Kendra connector for Yammer to search information stored in Yammer. Run a sample query to get information. Basic knowledge of AWS. Create an Amazon Kendra index.

Azure 123

Azure AWS Machine Learning Machine Learning 123

Data Science Dojo

JUNE 30, 2023

To help you make an informed decision and streamline your research, we’ve organised this series to let the statistics speak for themselves. Their comprehensive training aims to make data science accessible to everyone, offering hands-on experience in practical data science topics such as R programming, AWS, and Azure tools.

Data Science 195

Data Science Data Mining Data Mining Data Mining 195

AWS Machine Learning Blog

SEPTEMBER 19, 2024

Amazon Bedrock Knowledge Bases provides foundation models (FMs) and agents in Amazon Bedrock contextual information from your company’s private data sources for Retrieval Augmented Generation (RAG) to deliver more relevant, accurate, and customized responses. For more information, see Tag resources. Choose Next.

AWS 102

AWS Azure Database ML 102

databricks

JUNE 11, 2025

Speed : Traditional databases were designed for humans to provision and operate. Product December 12, 2024 / 4 min read Making AI More Accessible: Up to 80% Cost Savings with Meta Llama 3.3 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

Database 147

Database Data Lakes ETL Analytics 147

Data Science 101

DECEMBER 27, 2019

Here are the few bits of information I could find. AWS Deep Learning Containers now support Tensorflow 2.0 AWS Deep Learning Containers are docker images which are preconfigured for deep learning tasks. An intro to Azure FarmBeats An innovative idea to bring data science to farmers. Now they support Tensorflow 2.0.

Cloud Data 86

Cloud Data Data Science Deep Learning Deep Learning 86

Analytics Vidhya

MARCH 28, 2024

Introduction In the fast changing world of big data processing and analytics, the potential management of extensive datasets serves as a foundational pillar for companies for making informed decisions. It helps them to extract useful insights from their data.

Big Data 290

Big Data Big Data Analytics Analytics 290

Mlearning.ai

APRIL 24, 2023

Learning about the framework of a service cloud platform is time consuming and frustrating because there is a lot of new information from many different computing fields (computer science/database, software engineering/developers, data science/scientific engineering & computing/research).

Azure 52

Azure SQL Database Python 52

AWS Machine Learning Blog

APRIL 18, 2023

Amazon Kendra is an intelligent search service powered by machine learning (ML), enabling organizations to provide relevant information to customers and employees, when they need it. Additionally, you can now choose to use identity or ACL information to make your searches more granular. Run a sample query to get the information.

AWS 102

AWS Azure Machine Learning Machine Learning 102

AWS Machine Learning Blog

JULY 29, 2024

The solution approach respects users’ existing identities, roles, and permissions by enabling identity crawling and access control lists (ACLs) on the Amazon Q Business connector for SharePoint Online using secure credentials facilitated through AWS Secrets Manager. Only the data the user has access to is used to support the user query.

Azure 122

Azure AWS Artificial Intelligence Artificial Intelligence 122

Data Science Blog

NOVEMBER 15, 2023

The database for Process Mining is also establishing itself as an important hub for Data Science and AI applications, as process traces are very granular and informative about what is really going on in the business processes. This is something we can literally objectify! DATANOMIQ Data Mesh Cloud Architecture – This image is animated!

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Pickl AI

APRIL 1, 2025

Instead of keeping data on bulky hard drives, companies now use cloud services to store, manage, and process information securely. Core skills include networking, security, virtualisation, and proficiency in cloud platforms like AWS, Azure, and GCP. AWS EC2, Azure Virtual Machines). Google App Engine, AWS Lambda).

Cloud Computing 52

Cloud Computing Azure AWS Data Science 52

Dataversity

JULY 16, 2021

Google Cloud Platform vs. AWS: What’s the deal? A while back, we also asked the same question about Azure vs. AWS. After the release of the latest earnings reports a few weeks ago from AWS, Azure, and GCP, it’s clear that Microsoft is continuing to see growth, Amazon is […].

AWS 52

AWS Azure Database Machine Learning 52

ODSC - Open Data Science

FEBRUARY 27, 2025

MongoDB has announced its acquisition of Voyage AI, a leader in embedding and reranking models, in a move to enhance AI-powered applications with improved information retrieval. The acquisition comes at a time when AI adoption faces challenges due to hallucinations instances where models generate false or misleading information.

AI 52

AI AI Database Azure 52

Flipboard

MARCH 22, 2023

Snowflake is an AWS Partner with multiple AWS accreditations, including AWS competencies in machine learning (ML), retail, and data and analytics. With this new feature, you can use your own identity provider (IdP) such as Okta , Azure AD , or Ping Federate to connect to Snowflake via Data Wrangler.

AWS 123

AWS Data Preparation Azure Data Scientist 123

Data Science 101

FEBRUARY 29, 2020

Azure Sphere for IoT security goes GA This is a comprehensive security solution for IoT. Amazon Transcribe can now remove PII Amazon Trascribe is a speech recognition service and it now provides the ability to automatically remove Personally Identifiable Information (PII). The event is Monday, March 2, 2020 at 9am PST. and MXNet 1.6.0.

Cloud Data 106

Cloud Data Data Science SQL Deep Learning 106

Smart Data Collective

OCTOBER 19, 2022

You can only deploy DynamoDB on Amazon Web Services (AWS), and it does not support on-premise deployments. With DynamoDB, you are essentially locked into AWS as your cloud provider. MongoDB is deployable anywhere, and the MongoDB Atlas database-as-a-service can be deployed on AWS, Azure, and Google Cloud Platform (GCP).

Big Data 132

Big Data Big Data Database AWS 132

Data Science Dojo

MAY 25, 2023

SaaS apps may expose users to the following threats: Issues with compliance Lax rules for permitted use Unstable settings Potentially still-accessible inactive users SSPM security gives businesses the power they need to safeguard important corporate information that resides across many apps, as well as sometimes personal information.

Azure 195

Azure Power BI AWS Analytics 195

phData

JUNE 5, 2025

This blog will shed light on when companies should build Native Apps in Snowflake and when it might not be the best option, providing you with the confidence to make informed decisions for your data strategy. No Yes Yes (other apps are external) Can all features be converted into procedures / UDFs?

Database 52

Database Azure AWS SQL 52

AWS Machine Learning Blog

MARCH 3, 2023

Users often attach documents containing valuable information in the context of that email. In addition to emails, an Exchange account gives access to other valuable sources of information like calendar entries, OneNote notebooks, and contacts. Store the details in AWS Secrets Manager. Basic knowledge of AWS. Choose Next.

AWS 98

AWS Azure ML ML 98

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 135

AWS AI AI Data Scientist 135

ODSC - Open Data Science

OCTOBER 27, 2023

These documents often contain vital information that drives timely decision-making, essential for ensuring top-tier customer satisfaction, and reduced customer churn. As such, there are a number of different ways information from all these varying types of documents can be extracted.

AWS 98

AWS AI AI Data Science 98

Dataconomy

SEPTEMBER 4, 2023

By tapping into the power of cloud technology, organizations can efficiently analyze large datasets, uncover hidden patterns, predict future trends, and make informed decisions to drive their businesses forward. Descriptive analytics often involves data visualization techniques to present information in a more accessible format.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203