Perficient

FEBRUARY 16, 2023

The Data Catalog serves as an inventory of available data and provides information to evaluate the usefulness and quality of data to answer business questions and make better business decisions. Data Catalogs have become the standard for metadata management in the age of big data and self-service business intelligence.

Data 110

Data Google Cloud Analytics Cloud 110

Kaseya

MAY 13, 2021

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. What Is a Public Cloud?

Google Cloud 122

Google Cloud Azure AWS Cloud 122

CTOvision

FEBRUARY 4, 2015

If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

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. Who needs a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

Capgemini

MAY 20, 2020

Retailers have long been hampered by their data infrastructures, first by structural limitations inherent in data warehouses and then the expense and lack of agility of newer big-data systems. Meanwhile, new regulations around privacy and security force IT teams to patch systems for compliance.

Infrastructure 64

Infrastructure Data Retail Analytics 64

Perficient

FEBRUARY 28, 2023

These charts show just a few of the use cases we’ve built for past provider, payer, and life sciences clients, to paint a picture of the actual analytics value we’ve delivered. There was also a real risk of a HIPAA data incident occurring due to limited controls around PHI and PII data, given the data sprawl mentioned.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

Datavail

APRIL 6, 2021

Oracle Analytics Cloud. Oracle Data Cloud. compute, network, storage, etc.) PaaS includes the essential infrastructure and middleware as well as technologies such as artificial intelligence, the Internet of Things (IoT), containerization, and big data analytics. Oracle ERP—Financials Cloud. Oracle HCM Cloud.

Cloud 97

Cloud Disaster Recovery Artificial Intelligence Artificial Inteligence 97

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 116

Artificial Inteligence Generative AI Security Applications 116

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 95

Insurance Data Analytics Industry 95

Trigent

SEPTEMBER 20, 2023

While the potential of UBI is undisputed, modern InsurTechs have too much on their plates, with challenges and obstacles about regulatory compliance, customer data privacy, system integration, user experience, and data analytics being their top concerns.

Insurance 52

Insurance Policies Technical Review Systems Review 52

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. Data disappears.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

CTOvision

NOVEMBER 13, 2015

Identity & access intelligence (IAI) and user behavior analytics (UBA) use machine learning and predictive anomaly detection algorithms to identify and prevent breaches. Data science for security data volume. Sqrrl Data, Inc. – The Big Data company that enables more powerful cyber security investigations.

Innovation 111

Innovation Network Machine Learning Artificial Inteligence 111

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

Cloudera

AUGUST 31, 2021

Data warehousing is the backbone of every data driven organization , providing mission critical analytics. Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Copyright © 2021 Accenture. All rights reserved.

Data 82

Data Analytics Cloud Technical Review 82

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Happy New Year and welcome to 2019, a year full of possibilities.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

CTOvision

OCTOBER 6, 2015

Identity & access intelligence (IAI) and user behavior analytics (UBA) use machine learning and predictive anomaly detection algorithms to identify and prevent breaches. Data science for security data volume. RedOwl Analytics – Tackles the insider threat - malicious, compromised, or sloppy users. Sqrrl Data, Inc. –

Company 115

Company Big Data Government Innovation 115

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

Strategy Driven

AUGUST 31, 2017

Big Data is that important that businesses are doing more than using it to increase traffic. In fact, this blog has a post about why a business needs to start monetising data. There is no doubt that companies can make a lot of money from information, as seen by Big Data’s rise in popularity. Ownership Rights.

Big Data 20

Big Data Data Policies Compliance 20

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 storage. Types of metadata.

Tools 59

Tools Technical Review Software Review Systems Review 59

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. They provided a few services like computing, Azure Bob storage, SQL Azure, and Azure Service Bus. Data and analytics. Cloud migration and modernization.

Azure 52

Azure AWS Cloud How To 52

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Hybrid clouds must bond together the two clouds through fundamental technology, which will enable the transfer of data and applications. REAN Cloud is a global cloud systems integrator, managed services provider and solutions developer of cloud-native applications across big data, machine learning and emerging internet of things (IoT) spaces.

Cloud 78

Cloud Google Cloud Azure AWS 78

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Cloud storage functions by allowing users to access and download data on any selected device, such as a laptop, tablet, or smartphone, via an Internet service connection. Public cloud.

Architecture 52

Architecture Cloud Storage Google Cloud 52

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

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

Trigent

MARCH 10, 2021

While FHIR apps do extract data, they lack the ability to write data back. Data privacy and security issues – Healthcare compliances such as HIPAA can impose limitations on how stakeholders share and exchange data amongst each other and third-party vendors.

Healthcare 98

Healthcare Systems Review Artificial Intelligence Artificial Inteligence 98

Altexsoft

APRIL 23, 2021

This data is an inevitable part of a cohesive ecosystem known as the Internet of Medical Things (IoMT). We’ve already addressed the subject of IoMT in our article devoted to the role of Big Data in healthcare. All devices in their nature are quite limited in terms of processing power and storage capacity.

Healthcare 64

Healthcare Internet IoT Systems Review 64

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

Actian

JULY 26, 2019

A modernization project, done correctly can deliver compelling and predictable results to your organization including millions in cost savings, new analytics capabilities and greater agility. But how do you effectively go about choosing the right data warehouse to migrate to? The business benefits of data migration can be compelling.

Cloud 40

Cloud Data Analytics Case Study 40

Hacker Earth

MARCH 29, 2018

Data storage, privacy, and protection regulations (63%). So, companies must adopt emerging technologies such as AI, the blockchain, mobile technology, and analytics, which are successful enablers of better business outcomes. Big Data and Predictive Analytics in insurance. Talent (87%). IT security (53%).

Insurance 48

Insurance Industry Technology Artificial Inteligence 48

Palo Alto Networks

APRIL 23, 2020

Quality and Richness of Data for Analytics. The underlying technology that provides the foundation for data detection and investigation is extremely critical. Ideally, it would be consumed as a subscription service and priced per-endpoint with all licenses and data storage included.

Artificial Inteligence 54

Artificial Inteligence Artificial Intelligence Technical Review Machine Learning 54

InfoWorld

FEBRUARY 9, 2024

Microsoft Fabric is an end-to-end, software-as-a-service (SaaS) platform for data analytics. It is built around a data lake called OneLake, and brings together new and existing components from Microsoft Power BI, Azure Synapse, and Azure Data Factory into a single integrated environment.

Big Data 84

Big Data Azure Google Cloud Data 84

OTS Solutions

MAY 2, 2023

Most companies are still dealing with inappropriate strategies to extract insights from the data and hence are failing in the race to become the pioneer in their industries. To extract meaningful information from the data you need a system, a model, a framework, or data science and analytics.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

CTOvision

MARCH 2, 2016

From cars to medical devices, personal data is everywhere. The problem is, it is easier than ever for manufacturers to integrate data storage, but oftentimes the privacy and legal repercussions of the Internet of Things (IoT) are not considered. Compliance.

Internet 64

Internet IoT Storage Guidelines 64

Trigent

JUNE 26, 2023

” However, there are challenges on the road to EHR adoption while transitioning from the document-based storage system to EHR. EHR interoperability is at the core of our “initiatives,” while technologies like Robotic Process Automation (RPA), cloud, and big data allow us to empower our clients to push the boundaries in healthcare.

Healthcare 52

Healthcare Technical Review Innovation VR 52

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.

Compliance 10

Compliance System Cloud Healthcare 10