CloudSphere

AUGUST 10, 2023

Spearheading this change are advanced technologies like: Artificial intelligence (AI) Machine learning Automation Analytics How Tech Is Transforming HR As these technologies become pervasive within organizations worldwide, HR will have the opportunity to leverage them more and more.

Technical Review 52

Technical Review Technology Artificial Inteligence Artificial Intelligence 52

Datavail

APRIL 6, 2021

Oracle Analytics Cloud. Oracle Data Cloud. Using SaaS is best in the following situations: Your software needs to prioritize scalability and accessibility from anywhere at any time. Oracle PaaS includes functionality for application development, content management, and business analytics, among others. Oracle HCM Cloud.

Cloud 97

Cloud Disaster Recovery Artificial Intelligence Artificial Inteligence 97

Cloudera

MAY 28, 2019

Cloudera customers can start building enterprise AI on their data management competencies today with the Cloudera Data Science Workbench (CDSW). Learn more about the Cloudera Data Science Workbench for the end-to-end ML workflow at our bi-weekly webinar series featuring live expert demos and Q&A. Register today!

Compliance 47

Compliance Innovation Meeting Industry 47

Kaseya

MAY 13, 2021

The public cloud infrastructure is heavily based on virtualization technologies to provide efficient, scalable computing power and storage. Cloud adoption also provides businesses with flexibility and scalability by not restricting them to the physical limitations of on-premises servers. Scalability and Elasticity.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Xebia

JANUARY 19, 2023

The following quotes date back to those years: Data Engineers set up and operate the organization’s data infrastructure, preparing it for further analysis by data analysts and scientist. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink. Embrace FinOps.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Cloudera

OCTOBER 28, 2021

I’ve had the pleasure to participate in a few Commercial Lines insurance industry events recently and as a prior Commercial Lines insurer myself, I am thrilled with the progress the industry is making using data and analytics. Commercial Lines truly is an “uber industry” with respect to data.

Insurance 94

Insurance Data Analytics Industry 94

OTS Solutions

AUGUST 16, 2023

Also Read: Security and Compliance in Enterprise Applications The Role of AI and ML in Application Modernization Overview of AI and ML Artificial Intelligence (AI) and Machine Learning (ML) are two interrelated technologies that enable computers to learn, analyze and make decisions based on data without explicit programming.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

Also Read: Security and Compliance in Enterprise Applications The Role of AI and ML in Application Modernization Overview of AI and ML Artificial Intelligence (AI) and Machine Learning (ML) are two interrelated technologies that enable computers to learn, analyze and make decisions based on data without explicit programming.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

CTOvision

JUNE 3, 2014

PALO ALTO, Calif. – June 3, 2014 – Cloudera , a leader in enterprise analytic data management powered by Apache Hadoop™ , today announced that it has acquired Gazzang , the big data security experts, to dramatically strengthen its security offerings, building on the roadmap laid out last year when Cloudera first delivered Sentry.

Big Data 108

Big Data Open Source Weak Development Team Compliance 108

AWS Machine Learning - AI

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. In addition to awareness, your teams should take action to account for generative AI in governance, assurance, and compliance validation practices.

Artificial Inteligence 118

Artificial Inteligence Generative AI Security Applications 118

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

OTS Solutions

JULY 18, 2023

DevOps methodology is an approach that emphasizes collaboration, automation, and continuous delivery, while digital engineering is a framework for developing, operating, and managing software systems that are scalable, resilient, and secure. The Key Principles and Importance of DevOps in Enterprise Applications 1.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

OTS Solutions

JULY 18, 2023

DevOps methodology is an approach that emphasizes collaboration, automation, and continuous delivery, while digital engineering is a framework for developing, operating, and managing software systems that are scalable, resilient, and secure. The Key Principles and Importance of DevOps in Enterprise Applications 1.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

Cloudera

MARCH 13, 2019

The Data Visionary, Data Scientist, Data Architect, and HCC Community Champion awards are given out to organizations transforming their businesses through Big Data. Who are the Data Heroes? The company provide a scalable transaction platform to expand across cash management businesses.

Artificial Inteligence 68

Artificial Inteligence Data Disaster Recovery Artificial Intelligence 68

Altexsoft

FEBRUARY 11, 2020

With the rise of big data, organizations are collecting and storing more data than ever before. This data can provide valuable insights into customer needs and assist in creating innovative products. Unfortunately, this also makes data valuable to hackers, seeking to infiltrate systems and exfiltrate information.

Tools 109

Tools Linux Analysis Open Source 109

Hu's Place - HitachiVantara

JUNE 18, 2019

Scott Baker, posted a blog IDC: Object Storage More Than A One Trick Pony , which expanded on this IDC report and showed how our Object Storage platform, Hitachi Content Platform, HCP, evolved from a t rue archival compliance tool to one fine-tuned for Big Data analytics.

Storage 66

Storage Software Review Banking Technical Review 66

Datavail

SEPTEMBER 17, 2019

While there are a large number of options within the realm of NoSQL databases for big data, MongoDB has the majority market share. S&P Global Market Intelligence data indicates the company experienced 182.1 Turning fast-moving internet of things (IoT) data streams into insight. percent growth in shares in 2018.

Cloud 40

Cloud Azure Big Data Storage 40

Altexsoft

MARCH 16, 2021

In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. What is Big Data and its sources in healthcare? So, what is Big Data, and what actually makes it Big? Let’s see where it can come from.

Big Data 116

Big Data Healthcare Applications Data 116

CTOvision

OCTOBER 28, 2015

This will include review of current process; helping our clients understand anomalous behavior; separating criminal intent from accidental action; and, working with them to understand the differences between audit, compliance and intelligent security. The Special Case Of Big Data Analytics In Insider Threat Detection.

Technical Review 113

Technical Review Systems Review How To Policies 113

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

APRIL 5, 2021

In recent history, the unprocessed and raw information that we call data has gained an increasing amount of traction due to companies realizing its potential. For a layman, this is exactly what started the buzz around big data. Unsuitable for on-demand or real-time analytics. Data Integration for Marketing.

Company 78

Company Data Technical Review Analysis 78

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. The speed, scalability, and flexibility that cloud computing offers enable firms to create, innovate, and support corporate IT solutions. Regulatory compliance. Scalability.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Cloudera

AUGUST 2, 2018

True – millions of credit card transactions are processed within minutes for consistency, fraud and compliance, using petabytes of historical transactions as reference data. Data teams in these insurance firms are leading the charge in rebuilding entire business models around data and analytics.

Data 51

Data Storage Analytics Insurance 51

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. And companies that have completed it emphasize gained advantages like accessibility, scalability, cost-effectiveness, etc. . Data and analytics. Internet of Things.

Azure 52

Azure AWS Cloud How To 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. Alation: support for self-service analytics and BI.

Tools 59

Tools Technical Review Software Review Systems Review 59

Openxcell

SEPTEMBER 18, 2023

Big data Telemedicine apps generate and collect huge amounts of patient data, including medical records, images, and real-time monitoring. The use of Artificial Intelligence can provide accurate diagnosis and treatment recommendations based on large amounts of patient data.

UI/UX 52

UI/UX Technical Review Development Software Review 52

Progress

JULY 19, 2019

With the right health IT solutions, hospitals can tackle regulated problems—specifically operational efficiency, with scalability, flexibility and innovation. Leveraging Data to Improve Outcomes and Drive Patient Adherence. This trend, known as Hospital 4.0, Hospital 4.0

Artificial Inteligence 40

Artificial Inteligence Artificial Intelligence Healthcare Infrastructure 40

Actian

JANUARY 25, 2019

A number of benchmark reports conducted by McKnight Consulting Group (MCG) Global Services compared Actian Vector to some of its top competitors to measure speed, performance, scalability and agility. Hybrid Data Conference. Keep an eye out for updates on 2019 events in the pipeline! Actian Zen Core Database for Android.

Technical Review 40

Technical Review IoT Fractional CTO Conference 40

Cloudera

SEPTEMBER 7, 2018

This conventional approach also employs a Relational Database Management System (RDBMS) technology, which, however, falls short in meeting current business demands for scalable, flexible and cost-efficient solutions to insider threat. Quicker : Faster time to incident investigation and response with comprehensive enterprise visibility.

Machine Learning 49

Machine Learning Artificial Inteligence Scalability Analytics 49

Xicom

NOVEMBER 19, 2020

Will emerging technologies like Artificial Intelligence and Data Analytics still dominate the headlines, or will there be newcomers, previous core technologies will stay a hot-pick for app development companies in Dubai and take the lead. . In the past few years, the USA has focused a lot on the proliferation of analytics and Big Data.

Mobile 98

Mobile Weak Development Team Development Blockchain 98

Datica

OCTOBER 9, 2019

Following the recent release of complete cloud compliance management for Amazon Relational Database Service (RDS) and Amazon ElastiCache, Datica is proud to announce support for Amazon Simple Storage Service (Amazon S3) and Amazon Elastic Compute Cloud (Amazon EC2) in the latest release of its Datica Monitor product. Datica Monitor can help.

Compliance 10

Compliance System Cloud Healthcare 10

John Snow Labs

FEBRUARY 29, 2024

Investment in the right technology infrastructure is crucial, including computing resources capable of processing big data, and securing access to AI models and tools that are tailored for healthcare applications. Their commitment to diversity in data collection and algorithmic transparency is key to minimizing bias.

Generative AI 40

Generative AI Healthcare Artificial Inteligence Technical Review 40

Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.

Big Data 44

Big Data Scalability Data Analytics 44

Sunflower Lab

OCTOBER 2, 2023

Choosing the Ultimate Data Analytics Tool As a digital service providing enterprise, we constantly find ways to help a business through technology, and with this due process we find new innovative ideas and tools which are yet to be implemented by many of the enterprises in their system.

Azure 40

Azure Analytics UI/UX Software Review 40

CIO

AUGUST 18, 2023

Lilly’s IT team explored the marketplace for a scalable, near-term solution that aligned with the pharmaceutical’s needs. The team took a device-agnostic approach when designing and implementing MagnolAI’s data capabilities, making it a powerful tool regardless of the device being used.

Cloud 246

Cloud Pharmaceuticals Study Off-The-Shelf 246

OTS Solutions

NOVEMBER 26, 2023

Multi-cloud is important because it reduces vendor lock-in and enhances flexibility, scalability, and resilience. It is crucial to consider factors such as security, scalability, cost, and flexibility when selecting cloud providers. Also Read: How mobile apps and cloud accelerating Industry 4.0 transformation?

Strategy 130

Strategy Cloud Technical Review Development Team Review 130

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87