DZone

JUNE 6, 2023

This can include the use of cloud computing, artificial intelligence, big data analytics, the Internet of Things (IoT), and other digital tools. The digital transformation of businesses involves the adoption of digital technologies to change the way companies operate and deliver value to their customers.

Artificial Intelligence 130

Artificial Intelligence Systems IoT Testing 130

All Things Distributed

DECEMBER 13, 2016

The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes. The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption.

AWS 155

AWS Cloud Artificial Intelligence IoT 155

Scalegrid

AUGUST 27, 2024

This article expands on the most commonly used RabbitMQ use cases, from microservices to real-time notifications and IoT. Key Takeaways RabbitMQ is a versatile message broker that improves communication across various applications, including microservices, background jobs, and IoT devices.

Ecommerce 130

Ecommerce IoT Games Scalability 130

All Things Distributed

JUNE 21, 2018

We are increasingly seeing customers wanting to build Internet-scale applications that require diverse data models. Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. Purpose-built databases.

Database 167

Database AWS Games Latency 167

Dynatrace

NOVEMBER 5, 2023

The surge of the internet of things (IoT) has led to the exponential growth of applications and data processing at the edge. Furthermore, an accelerating digital-centric economy pushes us closer to the edge—processing client data as close to the originating source as possible.

Azure 130

Azure Artificial Intelligence Innovation Strategy 130

All Things Distributed

JULY 14, 2015

In just three short years, Amazon DynamoDB has emerged as the backbone for many powerful Internet applications such as AdRoll , Druva , DeviceScape , and Battlecamp. Also, you can choose to program post-commit actions, such as running aggregate analytical functions or updating other dependent tables. Summing It All Up.

Database 158

Database Lambda AWS IoT 158

Scalegrid

FEBRUARY 11, 2025

This flexibility makes NoSQL databases well-suited for applications with dynamic data requirements, such as real-time analytics, content management systems, and IoT applications. Unlike relational databases, NoSQL databases do not require a fixed schema, allowing for more flexible data models.

Scalability 147

Scalability Database Storage IoT 147

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

VoltDB

APRIL 25, 2024

IoT and IIoT Private networks play a pivotal role in supporting Internet of Things (IoT) and enterprise IoT use cases and initiatives, particularly those that involve edge computing and real-time data transfer. By doing so, they can take advantage of several transformative use cases.

Network 52

Network IoT Wireless Infrastructure 52

VoltDB

AUGUST 8, 2024

Real-time data platforms often utilize technologies like streaming data processing , in-memory databases , and advanced analytics to handle large volumes of data at high speeds. IoT applications Real-time data platforms can also power a number of IoT applications. What are the benefits of a real-time data platform?

IoT 52

IoT Latency Traffic Logistics 52

Tech News Gather

JULY 17, 2023

P2P lending apps use algorithms and data analytics to evaluate interest rates and the creditworthiness of borrowers. PWAs can load quickly, work even when users aren’t connected to the internet, send push notifications, and create a consistent user experience across devices.

FinTech 40

FinTech Development IoT Mobile 40

VoltDB

FEBRUARY 29, 2024

High latency feels like a sluggish internet connection, making online activities feel like a conversation with a delay in responses. Imagine the highway as your internet connection, and the vehicles on it are the data packets.

Latency 52

Latency Games Traffic Network 52

All Things Distributed

MAY 3, 2017

Manufacturing can be fully digitalized to become part of a connected "Internet of Things" (IoT), controlled via the cloud. And control is not the only change: IoT creates many new data streams that, through cloud analytics, provide companies with much deeper insight into their operations and customer engagement.

Logistics 66

Logistics IoT Analytics Innovation 66

Testsigma

FEBRUARY 12, 2021

IoT Test Automation. The Internet of Things is generally referred to as IoT which encompasses computers, cars, houses or some other technological system related. There is a huge expansion and the need for a good IoT research plan. . In 2019, we had previously projected the demand for IoT research at $781.96billion.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

VoltDB

OCTOBER 17, 2024

Indeed, real-time decisioning has become a critical capability for automotive manufacturers looking to stay competitive in the age of AI and IoT. Industrial Internet of Things (IoT) Industrial IoT devices collect data from various sources, such as machinery, production lines, and supply chain components.

Automotive 52

Automotive IoT Energy Artificial Intelligence 52

Adrian Cockcroft

NOVEMBER 18, 2024

Also learn how AWS customer Generation Park, a McCord Development project, is leveraging the Garnet Framework and AWS Partners to build an IoT water monitoring solution to reduce water wastage and set a foundation for future smart city projects. Effectively managing and reducing methane emissions is crucial for climate mitigation efforts.

AWS 98

AWS Energy Lambda Government 98