Data Science Dojo

FEBRUARY 20, 2023

It is used by businesses across industries for a wide range of applications, including fraud prevention, marketing automation, customer service, artificial intelligence (AI), chatbots, virtual assistants, and recommendations. AWS SageMaker also has a CLI for model creation and management. It also has tools for creating custom models.

Machine Learning 195

Machine Learning Machine Learning AWS Azure 195

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

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

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. CAGR from 2022 to 2031.

Big Data 52

Big Data Big Data AWS ML 52

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 124

ML ML Azure AWS 124

AWS Machine Learning Blog

FEBRUARY 29, 2024

AI’s growing influence in large organizations brings crucial challenges in managing AI platforms. These include a fully managed AI development environment with an integrated development environment (IDE), simplifying the end-to-end ML workflow.

AWS 123

AWS AI AI Data Scientist 123

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. We will discuss some of the cloud based AI services such as Amazon Comprehend , Amazon Textract , and LLM models via Amazon Bedrock.

AWS 98

AWS AI AI Data Science 98

IBM Journey to AI blog

SEPTEMBER 5, 2023

AWS, for example, provides a managed runtime environment for modernizing mainframe workloads following several hybrid strategies. The IBM Z and Cloud Modernization Stack runs on Red Hat OpenShift on AWS. Microsoft Azure also connects its DevOps efforts to the mainframe. No AI was used to write this article.

Azure 133

Azure AWS AI AI 133

Data Science 101

SEPTEMBER 20, 2023

Quantum Computing Startups Quantum Brilliance QuEra Rigetti IonQ Qbraid Q-CTRL What resources are missing from the list?

Azure 111

Azure AWS AI AI 111

Analytics Vidhya

JUNE 30, 2023

Introduction to Enterprise AI Time is of the essence, and automation is the answer. Amidst the struggles of tedious and mundane tasks, human-led errors, haywire competition, and — ultimately — fogged decisions, Enterprise AI is enabling businesses to join hands with machines and work more efficiently.

AI 320

AI AI Analytics Analytics 320

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. Google Cloud.

Cloud Data 96

Cloud Data Data Science Azure AWS 96

AWS Machine Learning Blog

JANUARY 25, 2024

Amazon Q is a new generative AI-powered application that helps users get work done. For more information, see Introducing Amazon Q, a new generative AI-powered assistant (preview). In this post, we walk you through the process to deploy Amazon Q business expert in your AWS account and add it to Microsoft Teams.

AWS 135

AWS Azure AI AI 135

Data Science Dojo

NOVEMBER 5, 2024

It covers a range of topics including generative AI, LLM basics, natural language processing, vector databases, prompt engineering, and much more. It’s a focused way to train and adapt to the rising demand for LLM skills, helping professionals upskill to stay relevant and effective in today’s AI-driven landscape.

Data Science 195

Data Science Azure Natural Language Processing AI 195

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 91

AWS Azure Database ML 91

Data Science 101

NOVEMBER 22, 2019

Google Introduces Explainable AI Many industries require a level of interpretability for their machine learning models. Google is launching Explainable AI which quantifies the impact of the various factors of the data as well as the existing limitations. AWS Storage Day On November 20, 2019, Amazon held AWS Storage Day.

Cloud Data 99

Cloud Data Data Science Azure AWS 99

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. AI-driven features like voice recognition, image recognition, and chatbots are becoming standard in modern apps.

Azure 103

Azure Machine Learning Machine Learning AWS 103

IBM Data Science in Practice

FEBRUARY 21, 2023

Just for AI Titans — Autonomous & Continuous AI Training —  MLOPS on steroids. Photo by Jeroen den Otter on Unsplash Who should read this article: Machine and Deep Learning Engineers, Solution Architects, Data Scientist, AI Enthusiast, AI Founders What is covered in this article? Continuous training is the solution.

AI 130

AI AI Machine Learning Machine Learning 130

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. This allows you to create your generative AI solution with minimal configuration. with Resource Owner Password Credentials Flow Azure AD App-Only (OAuth 2.0

Azure 105

Azure AWS AI AI 105

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. Product Manager Venkatesh Rao and Head of Partnerships Friea Berg worked on building native integrations with Amazon AI tools. Learn more below. This post was a joint effort.

Azure 52

Azure AWS AI AI 52

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. With generative AI, employees can get answers to their questions, summarize content, or generate insights from data stored in SharePoint Online. An Amazon Q Business application.

Azure 110

Azure AWS Artificial Intelligence Artificial Intelligence 110

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. Some news this week out of Microsoft and Amazon.

Cloud Data 120

Cloud Data Data Science Azure ETL 120

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. Product Manager Venkatesh Rao and Head of Partnerships Friea Berg worked on building native integrations with Amazon AI tools. Learn more below. This post was a joint effort.

Azure 52

Azure AWS ML ML 52

IBM Journey to AI blog

AUGUST 23, 2023

Securing sensitive data in Microsoft Azure takes a significant stride forward with the adoption of the BYOK or customer-managed key option. A single point of control over all your keys in the multicloud to create keys securely and bring them into Microsoft Azure , AWS and Google Cloud Platform.

Azure 75

Azure AWS 75

Data Science 101

MARCH 7, 2020

Azure HDInsight now supports Apache analytics projects This announcement includes Spark, Hadoop, and Kafka. The frameworks in Azure will now have better security, performance, and monitoring. AWS DeepRacer 2020 Season is underway This looks to be a fun project. It is titled, Building Your First Model with Azure Machine Learning.

Cloud Data 118

Cloud Data Data Science Azure Hadoop 118

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.” Q: What are some other advancements in AI that are worth paying attention to?

AWS 52

AWS Machine Learning Machine Learning Data Science 52

Dataconomy

JUNE 16, 2023

Gamma AI is a great tool for those who are looking for an AI-powered cloud Data Loss Prevention (DLP) tool to protect Software-as-a-Service (SaaS) applications. DLP solutions help organizations comply with data privacy regulations, such as GDPR, HIPAA, PCI DSS, and others ( Image Credit ) What is Gamma AI? How does it work?

AI 193

AI AI Natural Language Processing Data Classification 193

IBM Journey to AI blog

DECEMBER 12, 2023

So, if storage is replicated on AWS, an instance of IBM Storage Virtualize created on AWS as a Virtual Machine creates an instance of visualization into the storage with all the management of that data becoming consistent across the board. Deployments can use replication for native IP into Azure, AWS and IBM Cloud.

Azure 100

Azure AWS AI AI 100

Data Science 101

DECEMBER 27, 2019

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. This was a part of the Global AI Community Bootcamp. Now they support Tensorflow 2.0.

Cloud Data 86

Cloud Data Data Science Deep Learning Deep Learning 86

Data Science Dojo

OCTOBER 31, 2024

According to Google AI, they work on projects that may not have immediate commercial applications but push the boundaries of AI research. With the continuous growth in AI, demand for remote data science jobs is set to rise. Specialists in this role help organizations ensure compliance with regulations and ethical standards.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

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. Choosing the best deep learning platform is essential for AI and machine learning initiatives to be as efficient and productive as possible.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

O'Reilly Media

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases.

AI 145

AI AI Azure AWS 145

Towards AI

NOVEMBER 6, 2024

Author(s): Nilesh Raghuvanshi Originally published on Towards AI. Since we wanted the solution to be general-purpose, we developed a custom implementation that allows potential users to specify a list of LLMs they wish to use (including those provided by Azure OpenAI and […]

Azure 105

Azure AWS Python AI 105

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

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

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. Delta & Databricks Make This A Reality!

Data Science 52

Data Science Data Engineering Data Engineer Data Engineering 52

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). It focuses on using AWS products to solve data science problems.

Data Science 78

Data Science Power BI Cloud Data Exploratory Data Analysis 78

AWS Machine Learning Blog

MAY 3, 2023

Generative AI (GenAI) and large language models (LLMs), such as those available soon via Amazon Bedrock and Amazon Titan are transforming the way developers and enterprises are able to solve traditionally complex challenges related to natural language processing and understanding.

AWS 84

AWS AI AI ML 84