Data Science 101

NOVEMBER 11, 2019

Microsoft Azure. Azure Arc You can now run Azure services anywhere (on-prem, on the edge, any cloud) you can run Kubernetes. Azure Synapse Analytics This is the future of data warehousing. Call for Research Proposals Amazon is seeking proposals impact research in the Artificial Intelligence and Machine Learning areas.

Cloud Data 95

Cloud Data Data Science Azure Clustering 95

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 125

ML ML Azure AWS 125

Dataconomy

MARCH 19, 2024

Get ready to dive into the latest advancements in artificial intelligence as we unpack everything unveiled at GTC 2024, the premier AI conference for developers, business leaders, and AI researchers. Integration of the new NVIDIA Blackwell GPU platform into AWS infrastructure is announced, enhancing generative AI capabilities.

Azure 113

Azure AWS AI AI 113

AWS Machine Learning Blog

JULY 29, 2024

Amazon Q Business is the generative artificial intelligence (AI) assistant that empowers employees with your company’s knowledge and data. If you don’t have an AWS account, see How do I create and activate a new Amazon Web Services account? Owners will be able to manage permissions of the Azure AD application ( TargetApp ).

Azure 112

Azure AWS Artificial Intelligence Artificial Intelligence 112

Dataconomy

JULY 11, 2024

AI and machine learning integration AI in mobile apps Artificial Intelligence (AI) is transforming mobile apps by enabling personalization, predictive analytics, and enhanced user experiences. Cloud platforms like AWS, Google Cloud, and Microsoft Azure provide tools and services that simplify app development and deployment.

Azure 103

Azure Machine Learning Machine Learning AWS 103

Dataconomy

NOVEMBER 18, 2024

Big Tech’s AI spending is positioned to surpass a remarkable $240 billion in 2024, representing a strong response to soaring demand for artificial intelligence infrastructure and services. Microsoft emphasized that AI contributed significantly to Azure’s growth, with its AI run rate likely exceeding $6 billion.

AI 103

AI AI Azure Artificial Intelligence 103

AWS Machine Learning Blog

JULY 25, 2024

Amazon Q Business is a fully managed, generative artificial intelligence (AI)-powered assistant that helps enterprises unlock the value of their data and knowledge. with Resource Owner Password Credentials Flow Azure AD App-Only (OAuth 2.0 To establish a secure connection, you need to authenticate with the data source.

Azure 106

Azure AWS AI AI 106

Analytics Vidhya

FEBRUARY 3, 2022

In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. This article was published as a part of the Data Science Blogathon. Times change, technology improves and our lives get better.

Data Science 306

Data Science Natural Language Processing Deep Learning Deep Learning 306

Data Science 101

FEBRUARY 7, 2020

All the large cloud providers had some announcements this past week, plus a global artificial intelligence organization had some news to share. Azure Stream Analytics Anomaly Detection Azure Stream Analytics now has built-in anomaly detection capabilities. These thresholds can be either absolute or percentage-based.

Cloud Data 90

Cloud Data Data Science Azure Artificial Intelligence 90

ODSC - Open Data Science

OCTOBER 27, 2023

With Intelligent Document Processing (IDP) leveraging artificial intelligence (AI), the task of extracting data from large amounts of documents with differing types and structures becomes efficient and accurate. About the author Anjan Biswas is a Senior AI Specialist Solutions Architect at Amazon Web Services (AWS).

AWS 98

AWS AI AI Data Science 98

ODSC - Open Data Science

AUGUST 4, 2023

Recently, we spoke with Emily Webber, Principal Machine Learning Specialist Solutions Architect at AWS. She’s the author of “Pretrain Vision and Large Language Models in Python: End-to-end techniques for building and deploying foundation models on AWS.” And then I spent many years working with customers.

AWS 52

AWS Machine Learning Machine Learning Data Science 52

AWS Machine Learning Blog

NOVEMBER 11, 2024

Amazon Q requires your Microsoft Teams client ID and client secret to be stored in AWS Secrets Manager. The user is authenticated by AWS IAM Identity Center. Register an application in the Microsoft Azure Portal: Log in to the Microsoft Azure Portal with your Microsoft credentials. Choose Create application.

AWS 106

AWS Azure Artificial Intelligence Artificial Intelligence 106

Pickl AI

OCTOBER 15, 2024

Its ability to integrate with cloud platforms like AWS and Azure makes it an excellent choice for businesses moving to the cloud. AWS Glue AWS Glue is a fully managed ETL service provided by Amazon Web Services (AWS). AWS Glue is highly scalable and serverless, eliminating user infrastructure management.

ETL 52

ETL Azure AWS Data Governance 52

AWS Machine Learning Blog

APRIL 18, 2023

The solution consists of the following steps: Create and configure an app on Microsoft Azure Portal and get the authentication credentials. Prerequisites To try out the Amazon Kendra connector for OneDrive, you need the following: A Microsoft Azure account with enough access permissions to set up an OAuth 2.0 data source.

AWS 86

AWS Azure Machine Learning Machine Learning 86

Flipboard

MARCH 7, 2023

The solution consists of the following steps: Configure the Yammer app API connector on Azure and get the connection details. Prerequisites To try out the Amazon Kendra connector for Yammer, you need the following: Microsoft Azure global admin access. Basic knowledge of AWS. On the Azure welcome page, choose App registrations.

Azure 123

Azure AWS Machine Learning Machine Learning 123

DagsHub

JULY 25, 2024

Source: Author Introduction Deep learning, a branch of machine learning inspired by biological neural networks, has become a key technique in artificial intelligence (AI) applications. Deep learning methods use multi-layer artificial neural networks to extract intricate patterns from large data sets. Documentation H2O.ai

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Dataconomy

APRIL 26, 2023

Amazon Web Services (AWS): As a major player in the cloud computing market, AWS is well positioned to offer a variety of edge computing solutions, including AWS IoT Greengrass, which extends AWS to the edge of the network. Its Azure IoT Edge platform enables users to run AI, Azure services, and custom logic on devices.

Internet of Things 156

Internet of Things Azure AWS Cloud Computing 156

How to Learn Machine Learning

APRIL 23, 2023

The technology of AI has been categorized as narrow ai vs general, and super artificial intelligence. In this blog, we will try to learn more about these types of artificial intelligence. Artificial intelligence (AI) is a technology that imitates human intelligence to carry out various activities.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 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

AWS Machine Learning Blog

DECEMBER 20, 2023

Whether logs are coming from Amazon Web Services (AWS), other cloud providers, on-premises, or edge devices, customers need to centralize and standardize security data. Solution overview Figure 1 – Solution Architecture Enable Amazon Security Lake with AWS Organizations for AWS accounts, AWS Regions, and external IT environments.

AWS 130

AWS ML ML Algorithm 130

Pickl AI

OCTOBER 3, 2024

Summary: Artificial Intelligence Models as a Service (AIMaaS) provides cloud-based access to scalable, customizable AI models. Introduction to AIMaaS Artificial Intelligence Models as a Service (AIMaaS) represents a transformative approach in the deployment of AI technologies.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

ODSC - Open Data Science

MAY 5, 2023

Microsoft Azure As one of the most popular data science cloud options, Microsoft Azure is designed for AI. With more than 200 products and services under its belt, and its speed, flexibility, and affordability options, Azure is popular for a reason. Azure is also compatible with its massive library of other services as well.

Data Science 52

Data Science Data Engineering Data Engineer Data Engineering 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

And finally, some activities, such as those involved with the latest advances in artificial intelligence (AI), are simply not practically possible, without hardware acceleration. Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU.

AWS 102

AWS ML ML Clustering 102

Dataconomy

SEPTEMBER 28, 2023

As Mistral AI continues to innovate, we can anticipate even greater strides in the world of artificial intelligence. How to use Mistral 7B Under the Apache 2.0 With its compact size, open-source nature, and outstanding performance, it holds the promise of transforming how enterprises leverage AI for a wide range of applications.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence AI AI 103

IBM Journey to AI blog

JANUARY 30, 2024

Amazon Web Services (AWS), Google Cloud Platform, IBM Cloud or Microsoft Azure—within the same IT infrastructure. For instance, an organization might use Microsoft Azure for storing data, AWS for development and testing new applications, and Google Cloud for backup and disaster recovery. trillion in 2027.

Cloud Computing 125

Cloud Computing Data Silos Azure AWS 125

Smart Data Collective

AUGUST 2, 2022

Artificial intelligence technology is changing the future of many industries. Working with Grape Up, the automotive industry can leverage the most popular cloud services providers: AWS, Azure, Kubernetes, Google Cloud, Alibaba, and OpenStack. Global companies spent over $328 billion on AI last year.

AI 127

AI AI Artificial Intelligence Artificial Intelligence 127

AWS Machine Learning Blog

MARCH 3, 2023

Store the details in AWS Secrets Manager. An AWS account with privileges to create AWS Identity and Access Management (IAM) roles and policies. Basic knowledge of AWS. Log in to the Azure portal using your global admin user account and choose Next. On the Azure welcome page, choose App registrations.

AWS 84

AWS Azure ML ML 84

Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Artificial Intelligence : Concepts of AI include neural networks, natural language processing (NLP), and reinforcement learning.

Data Science 195

Data Science Machine Learning Machine Learning Data Visualization 195

IBM Journey to AI blog

AUGUST 12, 2024

Instead, businesses tend to rely on advanced tools and strategies—namely artificial intelligence for IT operations (AIOps) and machine learning operations (MLOps)—to turn vast quantities of data into actionable insights that can improve IT decision-making and ultimately, the bottom line.

Big Data 111

Big Data Big Data ML ML 111

Data Science Connect

JULY 26, 2023

Companies like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud are leveraging their extensive cloud infrastructure to create edge computing solutions. By deploying a network of edge locations closer to end-users and data sources, cloud providers ensure low-latency data processing for their customers.

Data Scientist 100

Data Scientist Internet of Things Cloud Computing Azure 100

Dataconomy

FEBRUARY 27, 2023

One of the key trends shaping the future of DevOps as a Service is the growing adoption of artificial intelligence and machine learning technologies. Microsoft Azure DevOps:   Azure DevOps is a powerful platform that integrates with a wide range of tools and services to enable end-to-end DevOps capabilities.

Artificial Intelligence 91

Artificial Intelligence Artificial Intelligence Azure Machine Learning 91

AWS Machine Learning Blog

MAY 3, 2023

Amazon Kendra also offers AWS Identity and Access Management (IAM) and AWS IAM Identity Center (successor to AWS Single Sign-On) integration for user-group information syncing with customer identity providers such as Okta and Azure AD. or higher installed on Linux, Mac, or Windows Subsystem for Linux, and an AWS account.

AWS 86

AWS AI AI ML 86

Data Science Blog

NOVEMBER 15, 2023

on Microsoft Azure, AWS, Google Cloud Platform or SAP Dataverse) significantly improve data utilization and drive effective business outcomes. They enable quicker data processing and decision-making, support advanced analytics and AI with standardized data formats, and are adaptable to changing business needs. Click to enlarge!

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Snorkel AI

OCTOBER 18, 2023

Insurance claims processing has long required a lot of tedious and expensive human labor, but artificial intelligence (AI) can help. Traditional claims processing is manual, labor-intensive, and prone to human error.

AI 64

AI AI Machine Learning Machine Learning 64

Snorkel AI

OCTOBER 18, 2023

Insurance claims processing has long required a lot of tedious and expensive human labor, but artificial intelligence (AI) can help. Traditional claims processing is manual, labor-intensive, and prone to human error.

AI 59

AI AI Machine Learning Machine Learning 59

IBM Journey to AI blog

JANUARY 29, 2024

Artificial intelligence – Artificial intelligence , or AI, is a digital technology that uses computers and machines to mimic the human mind’s capabilities. The AI learns from what it sees around it and when combined with automation can infuse intelligence and real-time decision-making into any workflow.

Artificial Intelligence 91

Artificial Intelligence Artificial Intelligence Internet of Things AWS 91

Mlearning.ai

JANUARY 28, 2023

With the growth of big data and artificial intelligence, it is important that you have the right tools to help you achieve your goals. Using a cloud provider such as Google Cloud Platform, Amazon AWS, Azure Cloud, or IBM SoftLayer 2. The data-driven world will be in full swing.

Machine Learning 52

Machine Learning Machine Learning Data Science ML 52