ODSC - Open Data Science

APRIL 12, 2023

Microsoft Azure Comprising more than 200 products and cloud services, Microsoft Azure aims to meet organizations where they are (in the cloud, in-person, or a hybrid of the two) to help develop new business solutions. Check out a few of them below.

Data Science 97

Data Science Azure Deep Learning Deep Learning 97

ODSC - Open Data Science

MAY 31, 2023

It is typically a single store of all enterprise data, including raw copies of source system data and transformed data used for tasks such as reporting, visualization, advanced analytics, and machine learning. All processing and machine-learning-related tasks are implemented in the analytics platform.

Data Lakes 131

Data Lakes Machine Learning Machine Learning Apache Kafka 131

Smart Data Collective

JANUARY 10, 2023

Usually, companies choose a platform provided by one of the most well-known vendors like Amazon (AWS), Google Cloud, or Microsoft Azure. Many analytics programs that are offered by cloud service providers can prepare all the information in such a way that it will be fully ready for visualization. Proceed to data analysis.

Business Intelligence 124

Business Intelligence Business Intelligence Internet of Things Analytics 124

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

Smart Data Collective

SEPTEMBER 21, 2021

With the increased adoption of cloud and emerging technologies like the Internet of Things, data is no longer confined to the boundaries of organizations. Using data fabric also provides advanced analytics for market forecasting, product development, sale and marketing.

Data Quality 131

Data Quality Data Pipeline Database Internet of Things 131

IBM Journey to AI blog

MARCH 20, 2024

Amazon Web Services (AWS), Google Cloud Platform, IBM Cloud or Microsoft Azure) makes computing resources (e.g., ready-to-use software applications, virtual machines (VMs) , enterprise-grade infrastructures and development platforms) available to users over the public internet on a pay-per-usage basis. What is a public cloud?

Cloud Computing 112

Cloud Computing Internet of Things Big Data Big Data 112

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. They are harnessing the power of the Industrial Internet of Things (IIoT) and edge computing to optimize processes, increase efficiency, and reduce downtime.

Data Scientist 100

Data Scientist Internet of Things Cloud Computing Azure 100

IBM Journey to AI blog

SEPTEMBER 11, 2023

Built on decades of innovation in data security, scalability and availability, IBM Db2 keeps business applications and analytics protected, highly performant, and resilient, anywhere. enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics.

Database 101

Database SQL Data Warehouse Machine Learning 101

Pickl AI

MARCH 1, 2023

Cloud computing is a way to use the internet to access different types of technology services. These services include things like virtual machines, storage, databases, networks, and tools for artificial intelligence and the Internet of Things. Thus making the system impervious to hackers.

Cloud Computing 52

Cloud Computing Internet of Things Database Artificial Intelligence 52

IBM Journey to AI blog

SEPTEMBER 4, 2024

Producers and consumers A ‘producer’, in Apache Kafka architecture, is anything that can create data—for example a web server, application or application component, an Internet of Things (IoT) , device and many others. Here are a few of the most striking examples.

Apache Kafka 58

Apache Kafka Internet of Things Data Pipeline Clustering 58

Hacker News

JULY 18, 2023

Row-based sharding is very suitable for analytical applications (e.g. Extending the MERGE superpower in Citus 12 Schema-based sharding is super exciting and the biggest enhancement in Citus 12, but we also continue to improve Citus for other scenarios, including row-based multi-tenancy and Internet-of-things (IoT) scenarios.

Database 123

Database SQL Data Models Data Modeling 123

IBM Journey to AI blog

FEBRUARY 6, 2024

Cloud-based applications and services Cloud-based applications and services support myriad business use cases—from backup and disaster recovery to big data analytics to software development. Each service facilitates data flow over the internet between front-end clients and back-end cloud systems provided by a cloud service provider.

Cloud Computing 119

Cloud Computing Big Data Big Data Internet of Things 119

Pickl AI

DECEMBER 2, 2024

Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Analytics tools help convert raw data into actionable insights for businesses. Real-time analytics are becoming increasingly important for businesses that need to respond quickly to market changes. What is Big Data?

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Analytics tools help convert raw data into actionable insights for businesses. Real-time analytics are becoming increasingly important for businesses that need to respond quickly to market changes. What is Big Data?

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

JUNE 18, 2024

Summary: This blog dives into the most promising Power BI projects, exploring advanced data visualization, AI integration, IoT & blockchain analytics, and emerging technologies. This empowered users to go beyond basic visualizations and perform advanced analytics tailored to their specific needs.

Power BI 52

Power BI Data Analysis Data Analysis Data Visualization 52

IBM Journey to AI blog

AUGUST 6, 2024

Today, all leading CSPs, including Amazon Web Services (AWS Lambda), Microsoft Azure (Azure Functions) and IBM (IBM Cloud Code Engine) offer serverless platforms. Big data analytics Serverless dramatically reduces the cost and complexity of writing and deploying code for big data applications.

Cloud Computing 45

Cloud Computing Internet of Things Big Data Big Data 45

IBM Journey to AI blog

JANUARY 29, 2024

Companies are becoming more reliant on data analytics and automation to enable profitability and customer satisfaction. Find more reports from IBM Institute for Business Value Digital transformation technologies Before exploring digital transformation examples, it’s important to understand the diverse digital technologies available.

Artificial Intelligence 85

Artificial Intelligence Artificial Intelligence Internet of Things AWS 85

Pickl AI

JULY 24, 2023

Real-Time Data Ingestion Examples Here are some examples of real-time data ingestion applications: Internet of Things (IoT) Devices: IoT devices generate a vast amount of data, such as temperature, humidity, location, and sensor readings.

Internet of Things 52

Internet of Things Apache Kafka ETL Azure 52

The MLOps Blog

FEBRUARY 5, 2023

With that capability, applications, analytics, and reporting can be done in real-time. Azure Stream Analytics : A cloud-based service that can be used to process streaming data in real-time. A streaming data pipeline is an enhanced version which is able to handle millions of events in real-time at scale.

Machine Learning 72

Machine Learning Machine Learning Data Pipeline Apache Kafka 72

Dataconomy

APRIL 4, 2023

Microsoft Azure:   Microsoft Azure is another major player in the cloud computing space, providing a range of Anything as a Service solutions, including IaaS, PaaS, SaaS, and Data as a Service (DaaS).

Cloud Computing 79

Cloud Computing Internet of Things Azure Artificial Intelligence 79

phData

SEPTEMBER 19, 2023

Thankfully, there are tools available to help with metadata management, such as AWS Glue, Azure Data Catalog, or Alation, that can automate much of the process. Inaccurate or inconsistent data can undermine decision-making and erode trust in analytics. What are the Best Data Modeling Methodologies and Processes?

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52

Dataconomy

APRIL 4, 2023

Microsoft Azure:   Microsoft Azure is another major player in the cloud computing space, providing a range of Anything as a Service solutions, including IaaS, PaaS, SaaS, and Data as a Service (DaaS).

Cloud Computing 70

Cloud Computing Internet of Things Azure Artificial Intelligence 70

Defined.ai blog

SEPTEMBER 5, 2023

With the advance of smart devices and the Internet of Things, the depth and breadth of this data have only expanded. Microsoft Azure Machine Learning : A comprehensive suite by Microsoft, it allows businesses to build, train, and deploy AI models using retail sales data. There might be a shortage of in-house expertise.

AI 52

AI AI Machine Learning Machine Learning 52

ODSC - Open Data Science

JULY 11, 2023

It uses a form of artificial intelligence called Reinforcement Learning from Human Feedback to produce answers based on human-guided computer analytics.2 It is worth noting that ChatGPT is firmly in the camp of human and machine collaboration; it is not just machine derived. Its response is below.

Data Lakes 40

Data Lakes AI AI Cloud Computing 40

Alation

AUGUST 2, 2022

This means that you’re likely missing valuable insights that could be gleaned from data lakes and data analytics. To support the CRM, it’s important to have technologies that: Provide analytics for insight into business performance. Delivering a smart, automated network with advances in 5G and internet of things (IoT) technology.

Data Silos 52

Data Silos Data Lakes Data Analyst Data Scientist 52

ODSC - Open Data Science

JULY 25, 2023

Advancement in Cloud Computing and Edge Computing: With the increasing popularity of cloud computing, more and more organizations are turning to cloud service providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform to store and process their data. Founder & President of Analytics Strategy & Consulting LLC.

AI 52

AI AI Cloud Computing Artificial Intelligence 52