AWS Machine Learning Blog

APRIL 3, 2025

It is responsible for managing RESTful API calls related to flight planning, retrieving inspection results, and interacting with backend services like Amazon Relational Database Service (Amazon RDS) and AWS Step Functions.

AWS 107

AWS AI AI ML 107

Dataversity

NOVEMBER 30, 2021

Today, all of our digital devices and sensors are interconnected in the Internet of Things. My company has built an extension for the KNIME Analytics Platform that enables you to connect to Software AG’s Cumulocity IoT platform so that you can use the more advanced analytics provided by KNIME on your Cumulocity data.

Analytics 97

Analytics Analytics Internet of Things Database 97

AWS Machine Learning Blog

MARCH 17, 2025

Furthermore, healthcare decisions often require integrating information from multiple sources, such as medical literature, clinical databases, and patient records. Data is stored in a conversation history, and a member database (MemberDB) is used to store member information and the knowledge base has static documents used by the agent.

AWS 110

AWS Natural Language Processing ML ML 110

Data Science Dojo

JANUARY 12, 2023

Some NoSQL databases are also utilized as platforms for data lakes. Securely store, and catalog data Data lakes let you store both relational and non-relational data, including data from social media, IoT (Internet of Things) devices, operational databases, and line-of-business applications.

Data Lakes 221

Data Lakes Data Warehouse Hadoop Machine Learning 221

AWS Machine Learning Blog

JANUARY 30, 2025

The team used DynamoDB, a NoSQL database, to store the personas, rubrics, and submitted proposals. These are stored in the DynamoDB database. The evaluation results are stored in the DynamoDB database and presented to the user through the Streamlit application. read()) return response_body.get("content")[0].get("text")

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AWS Database AI AI 92

Smart Data Collective

DECEMBER 3, 2021

The radar analyzes the different areas in which this company, which specializes in emerging technologies such as the blockchain, big data, cloud and the Internet of Things, as well as machine learning.

Machine Learning 132

Machine Learning Machine Learning Data Science Big Data 132

Pickl AI

JULY 8, 2024

Summary: Time series databases (TSDBs) are built for efficiently storing and analyzing data that changes over time. This blog delves into the world of Time Series Database (TSDB), exploring their functionalities, benefits, and applications. What is a Time Series Database?

Database 52

Database Data Pipeline Machine Learning Machine Learning 52

Dataconomy

MARCH 30, 2023

The Internet of Things (IoT) has rapidly become one of the most significant technology trends in recent years, with its potential to transform businesses, industries, and society. IoT data refers to the information collected by connected devices in the Internet of Things (IoT) ecosystem.

Analytics 91

Analytics Analytics Internet of Things Data Quality 91

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. The data contained can be both structured and unstructured and available in a variety of formats such as files, database applications, SaaS applications, etc.

Data Quality 131

Data Quality Data Pipeline Database Internet of Things 131

Data Science Dojo

JULY 24, 2023

Its characteristics can be summarized as follows: Volume : Big Data involves datasets that are too large to be processed by traditional database management systems. databases), semi-structured data (e.g., These datasets can range from terabytes to petabytes and beyond. XML, JSON), and unstructured data (e.g., text, images, videos).

Big Data 195

Big Data Big Data Data Engineering Data Engineering 195

Dataconomy

MARCH 3, 2025

By spreading out data storage, blockchain reduces the vulnerability associated with centralized points of failure typical in traditional databases. In contrast to standard databases managed by a central authority, blockchain promotes direct peer-to-peer exchanges and renders middlemen unnecessary.

Computer Science 91

Computer Science Computer Science Internet of Things Database 91

AWS Machine Learning Blog

OCTOBER 31, 2024

First, you will be charged for model inference and for the vector databases you use with Amazon Bedrock Knowledge Bases. He is also personally passionate about robotics and Internet of Things (IoT), and he constantly looks for new ways to use technologies for innovation.

AWS 126

AWS AI AI Python 126

Hacker News

JULY 18, 2023

What if you could automatically shard your PostgreSQL database across any number of servers and get industry-leading performance at scale without any special data modelling steps? You can shard your Citus database by creating a schema per tenant, as an alternative to distributing tables by a tenant ID column.

Database 123

Database SQL Data Modeling Data Models 123

Smart Data Collective

AUGUST 26, 2021

Simply put, it involves a diverse array of tech innovations, from artificial intelligence and machine learning to the internet of things (IoT) and wireless communication networks. Also, it extracts historical weather data from various databases. So, what’s behind the stellar transformation of weather technology?

Analytics 133

Analytics Analytics Big Data Analytics Big Data Analytics 133

Dataversity

JULY 1, 2021

Advances in Internet of Things (IoT) systems are increasingly facilitating data collection and information transfer over the IoT network to provide a range of automated services to the users. Click to learn more about author Avee Mittal.

Internet of Things 52

Internet of Things Database Data Science 52

Smart Data Collective

SEPTEMBER 23, 2020

Data Type: Historical which has been structured in order to suit the relational database diagram Purpose: Business decision analytics Users: Business analysts and data analysts Tasks: Read-only queries for summarizing and aggregating data Size: Just stores data pertinent to the analysis. Data Warehouse.

Data Lakes 135

Data Lakes Data Warehouse Big Data Big Data 135

Dataconomy

JULY 2, 2024

Traditional databases are centralized, making them vulnerable to attacks and single points of failure. The decentralized nature of blockchain, while enhancing security, also leads to slower transaction speeds and higher energy consumption compared to traditional databases. One of the primary limitations is scalability.

Internet of Things 91

Internet of Things Database Artificial Intelligence Artificial Intelligence 91

Dataconomy

MARCH 30, 2023

The Internet of Things (IoT) has rapidly become one of the most significant technology trends in recent years, with its potential to transform businesses, industries, and society. IoT data refers to the information collected by connected devices in the Internet of Things (IoT) ecosystem.

Analytics 70

Analytics Analytics Internet of Things Data Quality 70

IBM Journey to AI blog

SEPTEMBER 11, 2023

Thus, was born a single database and the relational model for transactions and business intelligence. Its early success, coupled with IBM WebSphere in the 1990s, put it in the spotlight as the database system for several Olympic games, including 1992 Barcelona, 1996 Atlanta, and the 1998 Winter Olympics in Nagano.

Database 101

Database SQL Data Warehouse Machine Learning 101

AWS Machine Learning Blog

APRIL 18, 2023

With the recently launched Amazon Monitron Kinesis data export v2 feature , your OT team can stream incoming measurement data and inference results from Amazon Monitron via Amazon Kinesis to AWS Simple Storage Service (Amazon S3) to build an Internet of Things (IoT) data lake. Select Add Database , and enter a name for the database.

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AWS ML ML Database 84

ODSC - Open Data Science

APRIL 12, 2023

TDEngine At TDEngine they specialize in the ingestion, processing, and monitoring of the large amounts of data generated by the Internet of Things (IoT), Industrial IoT, and connected cars. This cloud-native, open-source database is optimized to help organizations effectively manage their essential time-series data.

Data Science 97

Data Science Azure Deep Learning Deep Learning 97

AWS Machine Learning Blog

APRIL 24, 2024

We use Knowledge Bases for Amazon Bedrock to fetch from historical data stored as embeddings in the Amazon OpenSearch Service vector database. There are four subject-specific destination chains, each with its own system prompt: SQL-related queries are sent to the SQL destination chain for database interactions.

AWS 135

AWS AI AI SQL 135

IBM Journey to AI blog

SEPTEMBER 1, 2023

Internet of things (IOT) attack In an IoT attack, cybercriminals exploit vulnerabilities in IoT devices, like smart home devices and industrial control systems, to take over the device, steal data, or use the device as a part of a botnet for other malicious ends. There are several types of injection attacks.

SQL 124

SQL Database Internet of Things Machine Learning 124

Smart Data Collective

NOVEMBER 20, 2022

It is clear that in recent years there has been exponential growth in digital technologies, computing power and the so-called Internet of Things (IoT), among other things. Despite its clear benefits, there are considerable challenges in using data analytics in manufacturing processes.

Analytics 144

Analytics Analytics Big Data Big Data 144

ODSC - Open Data Science

MAY 31, 2023

But others actually need something different: a text search, a time series database, or a real-time consumer to process the data with their business application. Kai’s main area of expertise lies within the fields of Data Streaming, Analytics, Hybrid Cloud Architectures, and the Internet of Things.

Data Lakes 131

Data Lakes Machine Learning Machine Learning Apache Kafka 131

Dataconomy

JULY 11, 2024

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. Popular cloud platforms AWS offers a comprehensive suite of services for mobile app development, including storage, databases, and machine learning.

Azure 103

Azure Machine Learning Machine Learning AWS 103

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. IoT analytics: IoT (Internet of Things) analytics deals with data generated by IoT devices, such as sensors, connected appliances, and industrial equipment.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

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. It is managed by a cloud service provider.

Cloud Computing 52

Cloud Computing Internet of Things Database Artificial Intelligence 52

Dataconomy

MAY 23, 2023

Sensor edge: The fourth type, known as sensor edge, encompasses edge computing deployments centered around Internet of Things (IoT) sensors. This is because certain prerequisites, such as having operational data stored in a database rather than manually recorded, are necessary for edge solutions to deliver value.

Cloud Computing 164

Cloud Computing Analytics Analytics Data Analysis 164

Smart Data Collective

DECEMBER 16, 2019

At a time when the technology environment is powered by aspects such as the Internet of Things, artificial intelligence, machine learning, and Quantum computing, data is king. Data management is, therefore, the bedrock of business IT systems as it offers a channel that gives meaning to all the information in a database.

Internet of Things 73

Internet of Things Big Data Big Data Artificial Intelligence 73

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

IBM Journey to AI blog

SEPTEMBER 23, 2024

And the sudden absence in the database that counts on regular updates carried the potential for harmful consequences to scientific research. They will work in collaboration with a terrestrial “Internet of Things” style network that will be able to generate real-time data from the ground.

Internet of Things 45

Internet of Things Database 45

IBM Journey to AI blog

JULY 18, 2024

Database management is an area empowered by distributed computing, as are distributed databases, which perform faster by having tasks broken down into smaller actions. Manufacturing also deals with designing and creating Internet of Things (IoT) gadgets and tools that collect and transmit data.

Cloud Computing 58

Cloud Computing Database Internet of Things ML 58

Hacker News

JANUARY 24, 2024

Summary The Internet of Things is a widely adopted and pervasive technology, but also one of the most conveniently attacked given the volume of shared data and the availability of affordable but insecure products. Misconfiguring the storing of the database or setting a low threshold might compromise the performance of the broker.

Database 87

Database Internet of Things Python 87

AWS Machine Learning Blog

JANUARY 13, 2023

In the second post , we present the use cases and dataset to show its effectiveness in analyzing real-world healthcare datasets, such as the eICU data , which comprises a multi-center critical care database collected from over 200 hospitals. Background. Therefore, it brings analytics to data, rather than moving data to analytics.

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AWS Analytics Analytics Machine Learning 96

AWS Machine Learning Blog

JANUARY 13, 2023

This dataset comprises a multi-center critical care database collected from over 200 hospitals, which makes it ideal to test our FL experiments. We used the eICU Collaborative Research Database , a multi-center intensive care unit (ICU) database, comprising 200,859 patient unit encounters for 139,367 unique patients.

AWS 91

AWS Analytics Analytics Machine Learning 91

Pickl AI

NOVEMBER 15, 2023

Unlike traditional databases, Data Lakes enable storage without the need for a predefined schema, making them highly flexible. Unlike traditional databases that require a predefined schema, Data Lakes accommodate both structured and unstructured data. Here it becomes important to highlight the database systems.

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Data Lakes Data Warehouse Database ETL 52