All Things Distributed

OCTOBER 16, 2019

Healthcare providers can provide remote monitoring of patient health—improving patient care. Because these IoT devices are powered by microprocessors or microcontrollers that have limited processing power and memory, they often rely heavily on AWS and the cloud for processing, analytics, storage, and machine learning.

IoT 126

IoT Healthcare Internet Internet 126

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. This simplifies the installation process and ensures portability across operating systems.

IoT 52

IoT Azure Analytics Healthcare 52

Dynatrace

JANUARY 12, 2022

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. In traditional or hybrid IT environments, messaging systems are used to decouple heavyweight processing, buffer work, or smooth over spiky workloads. Dynatrace news.

Analytics 186

Analytics Systems DevOps Healthcare 186

Tasktop

OCTOBER 13, 2020

Acknowledging the myriad challenges posed by existing development processes and disconnected toolchains in scaling software innovation, the GigaOm Radar for Value Stream Management report provides further guidance on the necessary capabilities to successfully adopt this critical practice required to be successful in the Age of Software. .

Healthcare 59

Healthcare Innovation Metrics Best Practices 59

Testsigma

JUNE 26, 2021

Globally, organizations across banking, retail, automotive, healthcare, etc., Apart from scaling the testing process, you can evaluate risk areas with a codeless testing platform and test them thoroughly. Discovering bugs or false negatives is also possible with reports and analytics dashboards. for the next five years.

Testing 57

Testing Testing Tools Automotive Scalability 57

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. It makes use of the Eagle Genomics platform running on AWS, resulting in that Unilever’s digital data program now processes genetic sequences twenty times faster—without incurring higher compute costs.

Cloud 130

Cloud Energy AWS Healthcare 130

Testsigma

DECEMBER 20, 2019

Natural language processing : Programming computers to analyze and process natural human language. AI has use cases in many key sectors like manufacturing, healthcare, etc. AI can benefit the following areas of software testing: Unit testing : “Robotic Process Automation” (RPA) is an application of AI. trillion in 2021.

Artificial Intelligence 54

Artificial Intelligence Testing Healthcare Innovation 54

Dynatrace

DECEMBER 15, 2022

Just as the world began to emerge from the immediate effects of an unprecedented global healthcare crisis, it faced yet another emergency. This will negate efficiency gains and hinder efforts to automate business, development, security, and operations processes. Observability trend no. Observability trend no.

Artificial Intelligence 251

Artificial Intelligence Analytics Innovation Healthcare 251

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 17, 2022

Thus, modern AIOps solutions encompass observability, AI, and analytics to help teams automate use cases related to cloud operations (CloudOps), software development and operations (DevOps), and securing applications (SecOps). CloudOps includes processes such as incident management and event management. Aggregate it for alerts.

DevOps 195

DevOps Artificial Intelligence Healthcare Innovation 195

ScaleOut Software

DECEMBER 10, 2019

In its usage in streaming analytics, a real-time digital twin hosts an application-defined method for analyzing event messages from a single data source combined with an associated data object: The data object holds dynamic, contextual information about a single data source and the evolving results derived from analyzing incoming telemetry.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

In its usage in streaming analytics, a real-time digital twin hosts an application-defined method for analyzing event messages from a single data source combined with an associated data object: The data object holds dynamic, contextual information about a single data source and the evolving results derived from analyzing incoming telemetry.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

In its usage in streaming analytics, a real-time digital twin hosts an application-defined method for analyzing event messages from a single data source combined with an associated data object: The data object holds dynamic, contextual information about a single data source and the evolving results derived from analyzing incoming telemetry.

Code 52

Code Analytics Healthcare IoT 52

O'Reilly

OCTOBER 11, 2022

There seems to be broad agreement that hyperautomation is the combination of Robotic Process Automation with AI. We’ll see it in the processing of the thousands of documents businesses handle every day. We’ll see it in healthcare. Automating Office Processes. Automating this process is simple. What’s required?

Games 117

Games Healthcare Processing Retail 117

Percona

MARCH 30, 2023

Further, open source databases can be modified in infinite ways, enabling institutions to meet their specific needs for data storage, retrieval, and processing. They’re often preferred for storing and processing business intelligence data by organizations that require fast SQL queries.

Open Source 73

Open Source Database Storage Scalability 73

O'Reilly

NOVEMBER 28, 2023

Users and Nonusers AI adoption is in the process of becoming widespread, but it’s still not universal. Until AI reaches 100%, it’s still in the process of adoption. Automating the process of building complex prompts has become common, with patterns like retrieval-augmented generation (RAG) and tools like LangChain.

Open Source 109

Open Source Artificial Intelligence Google Infrastructure 109

Percona

JANUARY 14, 2019

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. This information can be a mix of analytical (OLAP) queries (i.e. Analytical databases are optimized for a low number of slow queries.

Database 40

Database Analytics Blockchain Healthcare 40