ODSC - Open Data Science

APRIL 23, 2025

AI credits from Confluent can be used to implement real-time data pipelines, monitor data flows, and run stream-based ML applications. Amazon Web Services(AWS) AWS offers one of the most extensive AI and ML infrastructures in the world. Modal Modal offers serverless compute tailored for data-intensive workloads.

Data Scientist 52

Data Scientist Azure Apache Kafka ML 52

Towards AI

JANUARY 29, 2025

Programming Languages: Python (most widely used in AI/ML) R, Java, or C++ (optional but useful) 2. Cloud Computing: AWS, Google Cloud, Azure (for deploying AI models) Soft Skills: 1. Programming: Learn Python, as its the most widely used language in AI/ML. Problem-Solving and Critical Thinking 2.

Deep Learning 98

Deep Learning Deep Learning Machine Learning Machine Learning 98

AWS Machine Learning Blog

NOVEMBER 25, 2024

We provide a step-by-step guide for the Azure AD configuration and demonstrate how to set up the Amazon Q connector to establish this secure integration. Prerequisites To follow along, you need the following prerequisites: The user performing these steps should be a global administrator on Azure AD/Entra ID. Choose New registration.

Azure 88

Azure AWS Natural Language Processing AI 88

Data Science 101

NOVEMBER 15, 2019

Microsoft Azure. Azure has become the cloud provider for the Salesforce marketing cloud. GitHub Actions for Azure go GA GitHub actions can now deploy databases and fire off pipelines in Azure Announcing FarmBeats All about using AI and ML on the farm. Amazon AWS. Amazon AWS. Google Cloud.

Cloud Data 96

Cloud Data Data Science Azure AWS 96

Data Science 101

NOVEMBER 22, 2019

AWS Storage Day On November 20, 2019, Amazon held AWS Storage Day. Many announcements came out regarding storage of all types at AWS. Much of this is in anticipation of AWS re:Invent, coming in early December 2019. Much of this is in anticipation of AWS re:Invent, coming in early December 2019. Fascinating Stuff!

Cloud Data 99

Cloud Data Data Science Azure AWS 99

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. If you are at a University or non-profit, you can ask for cash and/or AWS credits. Amazon Web Services. Google Cloud.

Cloud Data 95

Cloud Data Data Science Azure Clustering 95

Pickl AI

DECEMBER 26, 2024

Major Cloud Platforms for Data Science Amazon Web Services ( AWS ), Microsoft Azure, and Google Cloud Platform (GCP) dominate the cloud market with their comprehensive offerings. Managed services like AWS Lambda and Azure Data Factory streamline data pipeline creation, while pre-built ML models in GCPs AI Hub reduce development time.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

Towards AI

APRIL 4, 2023

Last Updated on April 4, 2023 by Editorial Team Introducing a Python SDK that allows enterprises to effortlessly optimize their ML models for edge devices. With their groundbreaking web-based Studio platform, engineers have been able to collect data, develop and tune ML models, and deploy them to devices.

ML 98

ML ML Python Machine Learning 98

AWS Machine Learning Blog

JANUARY 22, 2025

These services use advanced machine learning (ML) algorithms and computer vision techniques to perform functions like object detection and tracking, activity recognition, and text and audio recognition. An EventBridge rule then triggers the AWS Step Functions workflow to begin processing the video recording into a transcript.

AWS 111

AWS AI AI Machine Learning 111

Data Science 101

DECEMBER 16, 2019

Azure Data Factory Preserves Metadata during File Copy When performing a File copy between Amazon S3, Azure Blob, and Azure Data Lake Gen 2, the metadata will be copied as well. Azure Database for MySQL now supports MySQL 8.0 This is the latest major version of MySQL Azure Functions 3.0 This is pretty cool.

Cloud Data 81

Cloud Data Data Science Azure Natural Language Processing 81

Data Science 101

JANUARY 10, 2020

Data Drift Monitoring for Azure ML Datasets Azure ML now provides monitoring for when your data changes (called data drift). Data Drift Monitoring for Azure ML Datasets Azure ML now provides monitoring for when your data changes (called data drift). Courses & Learning.

Data Science 78

Data Science Power BI Cloud Data Exploratory Data Analysis 78

Mlearning.ai

APRIL 24, 2023

I just finished learning Azure’s service cloud platform using Coursera and the Microsoft Learning Path for Data Science. In my last consulting job, I was asked to do tasks that Data Factory and Form Recognizer can easily do for AWS/Amazon cloud services. It will take a couple of months but it is worth it!

Azure 52

Azure SQL Database Python 52

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. You can also use SageMaker to create your own custom outlier detection model using algorithms sourced from multiple ML frameworks.

AWS 133

AWS ML ML Algorithm 133

Flipboard

MARCH 7, 2023

Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). In addition, the ML-powered intelligent search can accurately find information from unstructured documents containing natural language narrative content, for which keyword search isn’t very effective. Choose Add.

Azure 123

Azure AWS Machine Learning Machine Learning 123

O'Reilly Media

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. What does a modern technology stack for streamlined ML processes look like?

ML 145

ML ML Data Scientist AWS 145

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

Pickl AI

APRIL 6, 2023

Accordingly, one of the most demanding roles is that of Azure Data Engineer Jobs that you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. How to Become an Azure Data Engineer?

Azure 52

Azure Data Engineering Data Engineer Data Engineering 52

AWS Machine Learning Blog

FEBRUARY 29, 2024

Amazon SageMaker Studio offers a comprehensive set of capabilities for machine learning (ML) practitioners and data scientists. These include a fully managed AI development environment with an integrated development environment (IDE), simplifying the end-to-end ML workflow.

AWS 129

AWS AI AI Data Scientist 129

Data Science 101

NOVEMBER 29, 2019

Amazon Athena and Aurora add support for ML in SQL Queries You can now invoke Machine Learning models right from your SQL Queries. Use Amazon Sagemaker to add ML predictions in Amazon QuickSight Amazon QuickSight, the AWS BI tool, now has the capability to call Machine Learning models.

Cloud Data 115

Cloud Data Data Science Machine Learning Machine Learning 115

ODSC - Open Data Science

AUGUST 3, 2023

ML for Big Data with PySpark on AWS, Asynchronous Programming in Python, and the Top Industries for AI Harnessing Machine Learning on Big Data with PySpark on AWS In this brief tutorial, you’ll learn some basics on how to use Spark on AWS for machine learning, MLlib, and more. Check them out here.

Big Data 52

Big Data Big Data AWS ML 52

Dataconomy

MARCH 19, 2024

Expanded collaboration between Microsoft and NVIDIA is announced, integrating NVIDIA’s AI and Omniverse tech into Microsoft Azure, Azure AI, and Microsoft 365. 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

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 114

Azure AWS Artificial Intelligence Artificial Intelligence 114

Towards AI

JANUARY 6, 2025

However, you are expected to possess intermediate coding experience and a background as an AI ML engineer; to begin with the course. Generative AI with LLMs course by AWS AND DEEPLEARNING.AI Generative AI with LLMs course by AWS AND DEEPLEARNING.AI Therefore, it expects you to possess the said experience in the field.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence AI AI 105

Mlearning.ai

JULY 8, 2023

One of them is Azure functions. In this article we’re going to check what is an Azure function and how we can employ it to create a basic extract, transform and load (ETL) pipeline with minimal code. An Azure function contains code written in a programming language, for instance Python, which is triggered on demand.

ETL 52

ETL Azure Python Internet of Things 52

AWS Machine Learning Blog

SEPTEMBER 19, 2024

Prerequisites The following are the prerequisites necessary to implement Amazon Bedrock Knowledge Bases with SharePoint as a connector: An AWS account with an AWS Identity and Access Management (IAM) role and user with least privilege permissions to create and manage the necessary resources and components for the application.

AWS 96

AWS Azure Database ML 96

O'Reilly Media

SEPTEMBER 15, 2021

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. As we’ll see later, cloud certifications (specifically in AWS and Microsoft Azure) were the most popular and appeared to have the largest effect on salaries. The top certification was for AWS (3.9%

AI 145

AI AI Azure AWS 145

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. The solution consists of the following steps: Create and configure an app on Microsoft Azure Portal and get the authentication credentials. data source.

AWS 95

AWS Azure Machine Learning Machine Learning 95

AWS Machine Learning Blog

SEPTEMBER 11, 2024

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). ML is often associated with PBAs, so we start this post with an illustrative figure. The ML paradigm is learning followed by inference. The union of advances in hardware and ML has led us to the current day.

AWS 107

AWS ML ML Clustering 107

The MLOps Blog

MARCH 20, 2023

Long-term ML project involves developing and sustaining applications or systems that leverage machine learning models, algorithms, and techniques. An example of a long-term ML project will be a bank fraud detection system powered by ML models and algorithms for pattern recognition. 2 Ensuring and maintaining high-quality data.

ML 59

ML ML Machine Learning Machine Learning 59

ODSC - Open Data Science

OCTOBER 27, 2023

Additionally, generative AI with Large Language Models (LLM) is adding powerful capabilities to IDP solutions often bridging gaps that once existed even with highly trained ML models. This is a very common situation in ML workloads as business processes evolve.

AWS 98

AWS AI AI Data Science 98

Dataconomy

JULY 11, 2024

Machine learning frameworks Frameworks like TensorFlow Lite and Core ML allow developers to integrate machine learning models into mobile apps. Internet of Things (IoT) integration IoT platforms The integration of IoT in mobile apps is expanding, with platforms like AWS IoT and Azure IoT offering robust solutions.

Azure 103

Azure Machine Learning Machine Learning AWS 103

AWS Machine Learning Blog

MARCH 3, 2023

Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). In addition, the ML-powered intelligent search can accurately find information from unstructured documents having natural language narrative content, for which keyword search is not very effective. Basic knowledge of AWS.

AWS 94

AWS Azure ML ML 94

phData

OCTOBER 2, 2023

What is a Feature in ML? Machine learning (ML) models learn to make predictions based on past examples. For the vast majority of use cases, the data used by ML models can be visualized as a table where rows are examples and columns are attributes describing those examples. Example dataset that could be used for an ML model.

Data Warehouse 98

Data Warehouse ML ML Machine Learning 98

Flipboard

DECEMBER 13, 2024

To remain competitive, capital markets firms are adopting Amazon Web Services (AWS) Cloud services across the trade lifecycle to rearchitect their infrastructure, remove capacity constraints, accelerate innovation, and optimize costs. trillion in assets across thousands of accounts worldwide.

Analytics 129

Analytics Analytics AI AI 129

Smart Data Collective

NOVEMBER 9, 2022

ML opens up new opportunities for computers to solve tasks previously performed by humans and trains the computer system to make accurate predictions when inputting data. Top ML Companies. With ML capabilities, these tools eliminate errors and process data at a rapid pace. Indium Software. Altoros has five global offices.

Machine Learning 122

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 122

The MLOps Blog

MAY 17, 2023

From data processing to quick insights, robust pipelines are a must for any ML system. Often the Data Team, comprising Data and ML Engineers , needs to build this infrastructure, and this experience can be painful. However, efficient use of ETL pipelines in ML can help make their life much easier.

ETL 59

ETL Data Pipeline ML ML 59

Dataconomy

JUNE 16, 2023

The cloud DLP solution from Gamma AI has the highest data detection accuracy in the market and comes packed with ML-powered data classification profiles. Customers can benefit from the people-centric security solutions offered by Gamma AI’s AI-powered cloud DLP solution. How to counter the most risky cloud computing threats?

AI 193

AI AI Natural Language Processing Data Classification 193