Dynatrace

SEPTEMBER 13, 2023

Citrix is critical infrastructure For businesses operating in industries with strict regulations, such as healthcare, banking, or government, Citrix virtual apps and virtual desktops are essential for simplified infrastructure management, secure application delivery, and compliance requirements.

Monitoring 246

Monitoring Healthcare Infrastructure Metrics 246

Dynatrace

JULY 31, 2024

A wide variety of companies and industries have suffered the effects of this incident , from delayed flights to disruptions in healthcare, insurance, and the financial industry. Dynatrace Query Language (DQL) Dynatrace Query Language (DQL) is a structured syntax for exploring, querying, and processing observability data in Dynatrace.

Airlines 258

Airlines Monitoring Healthcare Traffic 258

O'Reilly

NOVEMBER 19, 2024

While the overall process may be more complicated in practice, this is the gist. Large-scale production recommenders, search engines, and other discovery processes also have a long history of leveraging knowledge graphs , such as at Amazon , Alphabet , Microsoft , LinkedIn , eBay , Pinterest , and so on.

Open Source 127

Open Source Database Healthcare Entertainment 127

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 246

DevOps Artificial Intelligence Healthcare Innovation 246

Dynatrace

NOVEMBER 22, 2021

With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code. Dynatrace extends contextual analytics and AIOps for open observability. Healthcare giant accelerates application modernization and cloud migration with Dynatrace.

AWS 246

AWS Lambda Artificial Intelligence Serverless 246

Dynatrace

DECEMBER 5, 2023

For example, industries such as finance and healthcare have specific regulations that dictate audit log retention periods ranging from months to several years. A hard deletion process is initiated when there’s no legal or business reason to continue retaining data in alignment with your configuration settings.

Storage 242

Storage Healthcare Best Practices Speed 242

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 120

IoT Healthcare Internet Internet 120

VoltDB

OCTOBER 30, 2024

The process typically includes: Inspection: Regular equipment inspections to identify potential issues. Predictive maintenance: While closely related, predictive maintenance is more advanced, relying on data analytics to predict when a component might fail. It is proactive but doesn’t use advanced data analytics.

Automotive 52

Automotive IoT Artificial Intelligence Energy 52

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. Data analytics: With the right extensions and configurations, PostgreSQL can support analytical processing and reporting. PostgreSQL is open source relational database management software. What is PostgreSQL used for?

Open Source 98

Open Source Healthcare Social Media Database 98

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 102

Cloud Energy AWS Healthcare 102

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 141

Games Healthcare Processing Systems 141

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

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 107

Open Source Database Storage Scalability 107

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

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

VoltDB

FEBRUARY 29, 2024

Picture this: you place an order (processing delay), wait in line behind other customers (queuing delay), your coffee gets prepared (transmission delay), and then the barista hands it over to you (propagation delay). LATENCY: THE WAITING GAME Latency is like the time you spend waiting in line at your local coffee shop.

Latency 52

Latency Games Traffic Network 52

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

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

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 137

Open Source Google Artificial Intelligence Infrastructure 137

Adrian Cockcroft

NOVEMBER 18, 2024

However, some face challenges such as data availability, manual data collection processes, and a lack of data standardization. In this session, learn how Tokio Marine Highland uses CARTO’s spatial analytics platform on AWS to manage climate risk and assess impacts of severe weather to its business.

AWS 98

AWS Energy Lambda Government 98

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 48

Database Analytics Blockchain Healthcare 48