Apiumhub

DECEMBER 22, 2023

At Apiumhub , we have been proud media partners of most of Geekle’s online events since the beginning including the Global Summit for Node JS , the Android Development Global Summit , and the Worldwide Software Architecture Summit. AI in Product and Business Analytics Conf – February 27.

Case Study 60

Case Study Quality Assurance Software Development Architecture 60

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. They are: domain-oriented decentralized data ownership and architecture, data as a product, self-serve data infrastructure as a service, and.

Architecture 52

Architecture Data Analytics Data Engineering 52

Perficient

MAY 9, 2023

If done well, this is where your organization achieves true cloud maturity and is on its way to unlocking the incredible innovation possible with modern cloud, including data & analytics, AI / ML and automation – and lowering capital investments in data centers, support vendors and licensing commitments. There is a lot to consider!

Enterprise 116

Enterprise Cloud Weak Development Team Quality Assurance 116

Cloudera

NOVEMBER 28, 2023

With its rise in popularity generative AI has emerged as a top CEO priority, and the importance of performant, seamless, and secure data management and analytics solutions to power those AI applications is essential. This scalability ensures that your data management and analytics capabilities can keep pace with your evolving business needs.

Data 82

Data Scalability Analytics Quality Assurance 82

Cloudera

OCTOBER 26, 2020

Cloudera and Dell/EMC are continuing our long and successful partnership of developing shared storage solutions for analytic workloads running in hybrid cloud. . We are excited to announce PowerScale and ECS will be moving forward with Cloudera’s Quality Assurance Test Suite certification process on CDP – Private Cloud (PvC) Base edition.

Quality Assurance 86

Quality Assurance Cloud Storage Analytics 86

Kentik

AUGUST 10, 2018

As service providers prepare for effective service assurance, many are hiring service assurance engineers and managers to help. Key areas of focus for service assurance include: Managing all aspects of service quality assurance with active participation in major service projects.

Analytics 49

Analytics Network Quality Assurance Big Data 49

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Openxcell

FEBRUARY 6, 2022

DevOps, as demonstrated below, bridges the gap between development, IT operations, and quality assurance. DevOps strives to unify and automate daily tasks including software development , quality assurance, deployment, and integration. The DevOps engineer assists with immediate analytic requirements.

DevOps 52

DevOps Engineering Software Review Quality Assurance 52

Mobilunity

MARCH 26, 2024

Strategic Importance of Sap Netweaver Integration Addressing these challenges has huge implications: Enhanced Visibility and Decision-Making: Unified view on real-time insights from multiple sources enhances decision making that depends on big data analytics. Each consultant must have expertise in a particular SAP module (e.g.,

Project Management 52

Project Management Recruiting Agile Quality Assurance 52

Mobilunity

NOVEMBER 19, 2023

Forbes reports that 53% of companies are adopting big data analytics, highlighting the growing importance of data-driven insights in today’s business landscape. Data science and analytics professionals earn a median salary of $103,072 , making it one of the highest-paying professions in the U.S.

UI/UX 52

UI/UX Data Machine Learning Artificial Inteligence 52

Trigent

JANUARY 5, 2023

For established insurers, InsurTech companies often have expertise in specific areas, such as data analytics or digital marketing, that helps insurers improve their operations or offer innovative products. However, there are several challenges that must be overcome in order to effectively leverage this data in their analytics efforts.

Insurance 52

Insurance Policies IoT Quality Assurance 52

Datavail

SEPTEMBER 8, 2022

According to an IDG survey , companies now use an average of more than 400 different data sources for their business intelligence and analytics processes. The client was pulling information from a wide range of sources: CRM and ERP applications, financial planning and forecasting software, analytics tools, and more.

Data 40

Data Nonprofit Quality Assurance Education 40

Mobilunity

NOVEMBER 24, 2021

After combining all sources of information, the analyst will be able to qualitatively analyze the information and deliver analytical results to the business. ETL specialists’ range of tasks can spread to testing, data analytics, QA, and process management. Develop a DWH architecture and administration. Manage ETL processes.

Development 52

Development Storage Recruiting Architecture 52

Mobilunity

MAY 26, 2023

Product quality assurance. These services focus on developing software that helps monitor and maintain product quality throughout manufacturing. Software architect — designs the architecture of the software solution. Manufacturing execution systems creation. BI and performance management. CRM solutions development.

Software Development 52

Software Development UI/UX Software Development 52

Perficient

NOVEMBER 28, 2022

With built in analytics, personalization that works at the edge, you are getting the fastest and most flexible platform available today. Once you have an environment that supports Sitecore headless services, you need to establish a headless foundation to support migrating features to the new architecture. Select a Framework.

MVC 64

MVC Cloud Architecture Azure 64

Exadel

OCTOBER 11, 2022

Regardless of industry, success is defined by the quality of services and products. Quality assurance is an extremely important part of the software development process, and QA engineers play a key role in working towards perfection. He who loves practice without theory. is like the sailor who boards a ship without a rudder.

Testing 52

Testing Quality Assurance Knowledge Base Guidelines 52

Altexsoft

SEPTEMBER 9, 2022

In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. Metadata quality assurance is checking if metadata complies to quality requirements.

Tools 59

Tools Technical Review Software Review Systems Review 59

Openxcell

JUNE 19, 2023

This robust toolkit helps developers and quality assurance experts validate and optimize web service performance, functionality, and compliance, ensuring reliable and high-performing applications. c) Functional testing finds flaws in an application’s functionality and ensures developers follow test results to ensure proper operation.

Testing 52

Testing Tools Software Review Open Source 52

Capgemini

JULY 13, 2020

Lastly, the cycle was completed with an application reporting tool, creating valuable, new analytics dashboards, allowing leaders to assess volume, health, time-to-complete, and financial tracking metrics for various regions and departments all in real-time. Outcomes – the value of agility.

Agile 52

Agile Quality Assurance Construction Scalability 52

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 117

Artificial Inteligence Generative AI Security Applications 117

Altexsoft

AUGUST 30, 2018

It’s a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes. A quality assurance team sets committed code testing using automation tools like Selenium, Ranorex, UFT, etc. What is DevOps? Development. Microservices.

DevOps 90

DevOps Engineering Continuous Delivery Systems Administration 90

Exadel

JANUARY 11, 2023

AEM supports these components by default, and you can add even more features from the Adobe Experience Cloud suite: Adobe Analytics for tracking visitors, segmenting them into audiences, and visualizing digital customer journeys. Adobe Audience Manager for developing customer audiences and fine-tuning marketing campaigns. Personalization.

Technical Review 52

Technical Review UI/UX Company Systems Review 52

Trigent

NOVEMBER 30, 2022

The wider the coverage, the more effective the quality assurance of the application under test. Equally important is the ability of the tool to provide detailed analytical reports with the capability to drill down, provide real-time feedback, and provide detailed test reports.

Testing 52

Testing Development Team Review Systems Review Software Review 52

Perficient

JANUARY 27, 2023

Reporting and Analytics: AppScan on Cloud provides detailed reporting and analytics capabilities, which allows organizations to track and prioritize vulnerabilities, and understand the overall security posture of their applications.

Tools 111

Tools Software Review Open Source SDLC 111

Openxcell

JULY 10, 2023

The digital twin technology has expanded beyond manufacturing to include Artificial Intelligence, the Internet of Things, and Data Analytics. Digital Twins are likely to face significant challenges in the future due to their high cost of deployment, high power and storage requirements, and the complexity of their architectures.

Examples 52

Examples Trends Artificial Inteligence Applications 52

Xicom

JUNE 9, 2021

Integrating Blockchain into mobile apps needs an in-depth understanding of the technology and various elements like the Blockchain platform, network, programming languages, and several processes like front-end, back-end, quality assurance for different mobile platforms, etc. Step 2: Designing Architecture .

Blockchain 59

Blockchain Mobile Performance Real Estate 59

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. It can be used to power new analytics, insight, and product features. In some cases, this can be enhanced by combining data virtualization techniques with microservices architecture. Testing Hell Testing and quality assurance with data pipeline is a nightmare.

Data 63

Data Software Review Technical Review Microservices 63

Altexsoft

NOVEMBER 5, 2021

Amazon also possesses tools to build HIPAA-compliant architecture with AWS services. This person needs an in-depth knowledge of system design, information security, legislation, quality assurance, data analytics, and many other disciplines so having a bachelor’s degree in health informatics or health information management is a must.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

Trigent

FEBRUARY 18, 2021

In the current (micro) service-oriented architecture approach, as soon as the component or an interface is built, performance testing at a smaller scale can allow us to uncover issues w.r.t An application may boast of incredible functionality, but without the right application architecture, it won’t impress much.

Weak Development Team 52

Weak Development Team Performance Applications Testing 52

O'Reilly Media - Ideas

JUNE 11, 2019

There are new open source tools like Ludwig and Analytics Zoo aimed at non-experts who want to begin using deep learning. We are beginning to see tools that can automate many stages of a machine learning pipeline, help manage the ML model development process, and search through the space of possible neural network architectures.

Artificial Inteligence 107

Artificial Inteligence Tools Machine Learning Open Source 107

Xicom

FEBRUARY 27, 2023

Idealz also uses analytics and AI to optimize its business model. To ensure that your app is a success, you’ll want to include a wide range of features such as advanced search and sorting options, product customization tools, real-time analytics, secure payment gateways, and integration with social media platforms.

Development Team Review 52

Development Team Review Software Review eCommerce Systems Review 52

Altexsoft

OCTOBER 8, 2021

A single analytical report will require logging into numerous accounts, searching for specific pieces of data, copying them, perhaps cleaning some items, and converting data into a fitting form, all before any analysis happens. The platform’s main capabilities comprise data integration, data quality assurance, and data governance.

Tools 52

Tools Data Software Review Open Source 52

Mobilunity

DECEMBER 14, 2023

Financial Predictive Analytics:In the financial sector, AI developers design algorithms for predictive analytics, enhancing risk assessment and optimizing investment strategies. Personalized Marketing Solutions: Tailor-made marketing algorithms analyze consumer behavior, enabling targeted and personalized marketing campaigns for businesses.

Artificial Inteligence 52

Artificial Inteligence How To Technical Review Artificial Intelligence 52

Altexsoft

SEPTEMBER 28, 2021

Test automation is a critical element of DevOps methodology, based on the idea of merging development, quality assurance, and IT operations into a single, repetitive cycle to speed up software delivery. Besides that, throwing out the GIL would degrade the performance of software with single-threaded architecture.

Weak Development Team 94

Weak Development Team Programming Software Review Systems Review 94

Altexsoft

JULY 4, 2022

Besides that, infrastructure experts collaborate with development teams — specifically, with DevOps or site responsibility engineers (SREs) and quality assurance engineers. communication skills, strong problem-solving and analytical skills, strategic thinking, and. Non-technical skills. Among skills gained are.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Gorilla Logic

OCTOBER 2, 2019

Legacy architecture. IoT solutions are complex and involve a wide range of capabilities, some of which may be new to your organization and hard to find: cloud, analytics, integration, process changes, AI, machine learning, and more. . Will you use a reference architecture? To reference architecture or not. Complexity.

UI/UX 9

UI/UX Artificial Inteligence Enterprise IoT 9

Altexsoft

APRIL 5, 2019

Given the acceptance criteria and user stories as the first truth, a project manager closely interacts with the quality assurance department. Strong analytical skills is one of the basics for a product manager. Deliverable: iteration review. Control QA activities. Tech knowledge. Relationship management.

Project Management 81

Project Management Product Management Weak Development Team Minimum Viable Product 81