insideBIGDATA

MAY 23, 2023

NVIDIA today announced that it is integrating its NVIDIA AI Enterprise software into Microsoft’s Azure Machine Learning to help enterprises accelerate their AI initiatives.

Azure 171

Azure Machine Learning Machine Learning AI 171

Data Science Blog

FEBRUARY 4, 2023

The fusion of data in a central platform enables smooth analysis to optimize processes and increase business efficiency in the world of Industry 4.0 using methods from business intelligence , process mining and data science. Cloud Data Platform for shopfloor management and data sources such like MES, ERP, PLM and machine data.

Cloud Data 147

Cloud Data Data Science Business Intelligence Business Intelligence 147

Data Science 101

DECEMBER 27, 2019

An intro to Azure FarmBeats An innovative idea to bring data science to farmers. It is called data-driven agriculture. Global AI Bootcamp Keynote Eric Boyd from Microsoft gives an overview of the latest features in Azure AI. This was a part of the Global AI Community Bootcamp. Education/Courses.

Cloud Data 86

Cloud Data Data Science Deep Learning Deep Learning 86

AWS Machine Learning Blog

NOVEMBER 15, 2024

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. The chatbot improved access to enterprise data and increased productivity across the organization.

AWS 114

AWS AI AI Machine Learning 114

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?

AI 193

AI AI Natural Language Processing Data Classification 193

Data Science 101

MAY 3, 2019

Occasionally a product in Microsoft Azure will go down. Luckily, Azure has a status page to tell you which servers and services are down. Here is a quick video to help you find that status page.

Azure 95

Azure Data Engineering Data Engineering Data Engineering 95

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). Upcoming Online ML/AI Conference, AWS Innovate A free, online conference hosted by Amazon Web Services. It focuses on using AWS products to solve data science problems.

Data Science 78

Data Science Power BI Cloud Data Exploratory Data Analysis 78

Data Science 101

MARCH 14, 2020

Even with the coronavirus causing mass closures, there are still some big announcements in the cloud data science world. Google is starting to take enterprise AI seriously and Amazon is continuing to do interesting things. Azure Functions now support Python 3.8 So, here is the news. This is big for Google.

Cloud Data 52

Cloud Data Data Science Data Warehouse Azure 52

Pickl AI

DECEMBER 26, 2024

Elastic cloud resources enable seamless handling of large datasets and computations. AI, serverless computing, and edge technologies redefine cloud-based Data Science workflows. GCPs Vertex AI enables scalable AI development and deployment with integrated tools for Big Data Analytics.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

IBM Journey to AI blog

FEBRUARY 2, 2023

These developments have accelerated the adoption of hybrid-cloud data warehousing; industry analysts estimate that almost 50% 2 of enterprise data has been moved to the cloud. What is holding back the other 50% of datasets on-premises? However, a more detailed analysis is needed to make an informed decision.

Data Warehouse 58

Data Warehouse Cloud Data Analytics Analytics 58

Data Science 101

MARCH 7, 2019

Here are details about the 3 certification of interest to data scientists and data engineers. Azure Data Scientist Associate. Exams Required: DP-100: Designing and Implementing a Data Science Solution on Azure. For more details and to register, go to the Azure Data Scientist Associate page.

Data Science 94

Data Science Azure Data Scientist Data Engineering 94

IBM Journey to AI blog

MAY 12, 2023

IBM Consulting™ helped the customer modernize its architecture for a heavily used business-to-business conversational AI app. IBM’s recommendations included API-specific improvements, bot UX optimization, workflow optimization, DevOps microservices and design consideration, and best practices for Azure manage services.

Azure 93

Azure Database Data Visualization Clustering 93

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. This aspect can be applied well to Process Mining, hand in hand with BI and AI. Click to enlarge!

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

Towards AI

FEBRUARY 10, 2023

Last Updated on February 13, 2023 by Editorial Team Author(s): Lan Chu Originally published on Towards AI. In this article, I aim to bring attention to the importance of knowing that, even though large AI models are impressive, there are often unacknowledged costs behind them.

AI 98

AI AI Natural Language Processing Artificial Intelligence 98

Dataconomy

SEPTEMBER 4, 2023

Cloud-based business intelligence (BI): Cloud-based BI tools enable organizations to access and analyze data from cloud-based sources and on-premises databases. These tools offer the flexibility of accessing insights from anywhere, and they often integrate with other cloud analytics solutions.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Smart Data Collective

JANUARY 10, 2023

Every company should clearly understand and plan in detail how the received data will be used further, how it can be distributed, and who will get access to it. Ensure cloud data storage. For enjoying all the benefits that IoT technologies can offer us today, it is vital to find a place where all the gathered data will be kept.

Business Intelligence 124

Business Intelligence Business Intelligence Internet of Things Analytics 124

Flipboard

MARCH 22, 2023

In this post, we show how to configure a new OAuth-based authentication feature for using Snowflake in Amazon SageMaker Data Wrangler. Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. For Azure AD, you must also specify a unique identifier for the scope.

AWS 123

AWS Data Preparation Azure Data Scientist 123

DataRobot Blog

MARCH 17, 2022

Today, I’m excited to introduce DataRobot AI Cloud 8.0 , the mission critical innovation to help every business better and more intelligently navigate the most unpredictable of markets with no-code solutions that deliver timely, continuous, and trusted insights from more of your data. DataRobot AI Cloud 8.0

AI 52

AI AI Machine Learning Machine Learning 52

IBM Journey to AI blog

SEPTEMBER 11, 2023

Its robust architecture and proven performance have given businesses uninterrupted access to critical data while powering their enterprise-level applications. was a significant leap forward in data management, empowering organizations to unlock the full potential of their data. is a proven, versatile, and AI-ready solution.

Database 101

Database SQL Data Warehouse Machine Learning 101

IBM Journey to AI blog

APRIL 18, 2023

Across industries, the exponential growth of technologies such as hybrid cloud, data and analytics, AI and IoT have reshaped the way businesses operate and heightened customer expectations. Businesses are now entering an even greater digital era marked by broader applications of AI, including generative AI models.

Natural Language Processing 88

Natural Language Processing AI AI Azure 88

Data Science 101

OCTOBER 24, 2020

If you do data science in 2020 or beyond, there is a good chance the cloud will be involved. Topics covered: Lessons learned when migrating data science (or technology in general) to the cloud AI services available via different cloud providers Workflows in the cloud and more.

Data Science 136

Data Science Data Scientist AI AI 136

phData

OCTOBER 11, 2024

From credit card processing and insurance underwriting to retail banking, data is reshaping the way these organizations operate. By implementing AI applications effectively, financial services companies can navigate strict regulations while achieving meaningful, value-driven outcomes. This is where AI truly shines.

AI 52

AI AI Data Pipeline ML 52

IBM Journey to AI blog

FEBRUARY 1, 2024

Also consider the cost of hardware refresh and for possible opportunities around on demand cloud computing. We leverage our master control plane driven approach guided by AI and automation to support your requirements both for the build and manage on SAP and non-SAP workloads.

Cloud Computing 109

Cloud Computing Azure AWS AI 109

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. Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

OCTOBER 15, 2024

Talend Talend is a leading open-source ETL platform that offers comprehensive solutions for data integration, data quality , and cloud data management. It supports both batch and real-time data processing , making it highly versatile. It is well known for its data provenance and seamless data routing capabilities.

ETL 52

ETL Azure AWS Data Governance 52

IBM Journey to AI blog

APRIL 4, 2024

Most companies, however, choose to outsource some or all of their private cloud management to a third-party provider like Amazon Web Services (AWS), Google Cloud, IBM Cloud or Microsoft Azure. Four types of private clouds There are four main types of private clouds from which to choose: 1.

Cloud Computing 115

Cloud Computing Azure Cloud Data AWS 115

DataRobot Blog

SEPTEMBER 6, 2022

How do you drive collaboration across teams and achieve business value with data science projects? With AI projects in pockets across the business, data scientists and business leaders must align to inject artificial intelligence into an organization. Data Analysis Must Include Business Value.

Analytics 52

Analytics Analytics Machine Learning Machine Learning 52

phData

SEPTEMBER 2, 2024

Matillion is a SaaS-based data integration platform that can be hosted in AWS, Azure, or GCP. It offers a cloud-agnostic data productivity hub called Matillion Data Productivity Cloud. Some of the supported ones for the Matillion ETL/ELT are GitHub , Bitbucket , and Azure DevOps.

ETL 52

ETL Data Warehouse SQL Database 52

IBM Journey to AI blog

JUNE 26, 2023

What is clear is that data loss for any business can be expensive, disruptive and a challenge to fix without the right capabilities in place. IBM Storage Protect for Cloud can meet the cloud data resilience challenge The IBM Storage Protect for Cloud offering was designed to address this very problem.

Azure 66

Azure Cloud Data 66

Alation

APRIL 14, 2022

Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. The Cloud Data Migration Challenge. Data pipeline orchestration.

Data Governance 59

Data Governance ML ML Cloud Data 59

Pickl AI

JANUARY 31, 2025

Examples include Amazon Web Services (AWS) EC2 and Microsoft Azure. The cloud provider handles scaling and execution based on demand, enabling developers to focus solely on coding. Examples include AWS Lambda and Azure Functions. Another key trend shaping cloud computing technology is the AI Integration.

Cloud Computing 52

Cloud Computing Azure Artificial Intelligence Artificial Intelligence 52

ODSC - Open Data Science

FEBRUARY 6, 2024

This open-source streaming platform enables the handling of high-throughput data feeds, ensuring that data pipelines are efficient, reliable, and capable of handling massive volumes of data in real-time. Each platform offers unique features and benefits, making it vital for data engineers to understand their differences.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Pickl AI

JULY 12, 2023

It offers easier access to the data and complete restoration and backup. There are several service providers in his domain, like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). The next segment highlights the key benefits of cloud migration and its key features.

Azure 52

Azure Database Cloud Computing AWS 52

Precisely

MAY 23, 2024

Whatever your approach may be, enterprise data integration has taken on strategic importance. Artificial intelligence (AI) algorithms are trained to detect anomalies. Today’s enterprises need real-time or near-real-time performance, depending on the specific application. Timing matters.

Data Governance 64

Data Governance ETL Data Pipeline Azure 64

phData

JUNE 3, 2024

Snowflake AI Data Cloud has become a premier cloud data warehousing solution. Maybe you’re just getting started looking into a cloud solution for your organization, or maybe you’ve already got Snowflake and are wondering what features you’re missing out on.

Machine Learning 52

Machine Learning Machine Learning Database Cloud Data 52

ODSC - Open Data Science

JULY 11, 2023

1] The typical application familiar to readers is much more recent, when AI operates as chatbots, enhancing or at least facilitating the user experience on many websites. Recently, however, conversational AI has taken a giant leap forward. Why Use AI to Learn About Data Centers and How Does It Work?

Data Lakes 40

Data Lakes AI AI Cloud Computing 40

ODSC - Open Data Science

JULY 20, 2023

Depending on the size and complexity of the data and the company’s budget, there are several alternatives to a data center that can be considered. Cloud Services: A company with limited data resources may find that cloud services are a cost-effective solution.

AI 52

AI AI Cloud Computing Data Scientist 52