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.

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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.

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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.

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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.

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AWS Machine Learning Blog

NOVEMBER 11, 2024

Also, important information gets buried in lengthy chat threads or lost in channel backlogs over time. Amazon Q Business is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems.

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IBM Journey to AI blog

AUGUST 23, 2023

The data protection needs of organizations are driven by concerns about protecting sensitive information and intellectual property and meeting compliance and regulatory requirements. Securing sensitive data in Microsoft Azure takes a significant stride forward with the adoption of the BYOK or customer-managed key option.

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Pickl AI

OCTOBER 15, 2024

The right ETL platform ensures data flows seamlessly across systems, providing accurate and consistent information for decision-making. ETL improves information accuracy and accessibility by ensuring data from multiple sources is consistent and well-organised.

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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.

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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.

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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.

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Data Science Dojo

NOVEMBER 5, 2024

By working on real datasets and deploying applications on platforms like Azure and Hugging Face, you will gain valuable practical experience that reinforces your learning. You get a chance to work on various projects that involve practical exercises with vector databases, embeddings, and deployment frameworks.

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Dataversity

MAY 28, 2024

Modern data warehouse platforms such as Snowflake, AWS Redshift, Azure Synapse Analytics, and IBM Db2 are built with […] The post Securing Data in Transit for Analytics Operations appeared first on DATAVERSITY.

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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.

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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.

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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.

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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.

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Dataconomy

NOVEMBER 18, 2024

Microsoft emphasized that AI contributed significantly to Azure’s growth, with its AI run rate likely exceeding $6 billion. The trends observed throughout 2023 and into 2024 will likely inform strategic investment decisions well into the future, with profound implications for their profit trajectories.

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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.

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Snorkel AI

AUGUST 6, 2024

Enterprise admins also gain secure and flexible foundation model access with integrations like Azure ML, Azure OpenAI, and AWS Sagemaker. Additionally, Snorkel offers Managed virtual private cloud installation options on AWS and Azure alongside Snorkel Hosted , Private VPC, and on-prem deployments.

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Snorkel AI

AUGUST 7, 2024

Enterprise admins also gain secure and flexible foundation model access with integrations like Azure ML, Azure OpenAI, and AWS Sagemaker. Additionally, Snorkel offers Managed virtual private cloud installation options on AWS and Azure alongside Snorkel Hosted , Private VPC, and on-prem deployments.

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Data Science Dojo

OCTOBER 31, 2024

For instance, Berkeley’s Division of Data Science and Information points out that entry level data science jobs remote in healthcare involves skills in NLP (Natural Language Processing) for patient and genomic data analysis, whereas remote data science jobs in finance leans more on skills in risk modeling and quantitative analysis.

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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.

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DagsHub

JULY 25, 2024

You can make more informed judgments about your AI and ML initiatives if you know these platforms' features, applications, and use cases. Tutorials Microsoft Azure Machine Learning Microsoft Azure Machine Learning (Azure ML) is a cloud-based platform for building, training, and deploying machine learning models.

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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 ).

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Pickl AI

OCTOBER 3, 2024

They evaluate business requirements and decide on the best cloud platform and architecture, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud. Cloud Platforms Familiarity with major cloud platforms such as AWS, Microsoft Azure, and Google Cloud is necessary.

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Cloud Computing Azure AWS Computer Science 52

Data Science Connect

JANUARY 27, 2023

Get experience with cloud computing: Cloud computing has become increasingly popular in recent years, and data engineers need to be familiar with cloud services like AWS, Azure, and GCP in order to store and process large amounts of data.

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Data Engineering Data Engineering Data Engineer Data Engineering 130

Pickl AI

NOVEMBER 18, 2024

Industry-recognised certifications, like IBM and AWS, provide credibility. A Data Analyst collects, processes, and interprets data to help organisations make informed decisions. Additionally, familiarity with Machine Learning frameworks and cloud-based platforms like AWS or Azure adds value to their expertise.

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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.

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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!

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Data Models Data Modeling Business Intelligence Business Intelligence 245

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).

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Big Data Big Data Database AWS 116

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.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

Data contains information, and information can be used to predict future behaviors, from the buying habits of customers to securities returns. The aim of this post is to level-set and inform in a rapidly advancing field, helping to understand competitive differentiators, and formulate an associated business strategy.

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Dataversity

JUNE 2, 2021

These models allow large enterprises to tier and scale their AWS Accounts, Azure Subscriptions, and Google Projects across hundreds and thousands of cloud users and services. The deliverability of cloud governance models has improved as public cloud usage continues to grow and mature. When we first started […].

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Azure AWS Data Governance Data Quality 52

IBM Journey to AI blog

OCTOBER 17, 2023

The solution gives users contextual information so that they can quickly access insights without struggling with data and application monitoring. The key components of Instana are host agents and agent sensors deployed on platforms like IBM Cloud®, AWS, and Azure. Currently, Instana supports SAP BTP Kyma cluster monitoring.

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Clustering Azure AWS Database 94

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.

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AWS Machine Learning Blog

MARCH 17, 2023

Microsoft Teams captures invaluable organizational knowledge in the form of the information that flows through it as users collaborate. We use an example of an illustrative Microsoft Teams instance where users discuss technical topics related to AWS. For more information, see Overview of access management: Permissions and policies.

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AWS Machine Learning Blog

MAY 18, 2023

You can filter the search results based on the user and group information to ensure your search results are only shown based on user access rights. An AWS account with privileges to create AWS Identity and Access Management (IAM) roles and policies. Basic knowledge of AWS. You can now also choose OAuth 2.0

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