CTOvision

SEPTEMBER 11, 2016

Their solutions have served business users, including the more advanced statisticians and data scientists but also the average user. We track Tibco in our Disruptive IT Directory in the category of Business Intelligence and Analytics Companies. For more info see Tibco.com.

Business Intelligence 60

Business Intelligence Analytics Telecommunications Airlines 60

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

CTOvision

SEPTEMBER 11, 2016

Their solutions have been applied across multiple industries, with use cases and reference architectures available for Airlines, Banking, Capital Markets, Government, Healthcare, Insurance, Life Sciences, Logistics, Manufacturing, Oil and Gas, Rail, Retail, Telecommunications and Utilities. For more info see Tibco.com.

Business Intelligence 62

Business Intelligence Analytics Telecommunications Airlines 62

Altexsoft

AUGUST 31, 2020

The adoption of technologies supports healthcare organizations on different levels: from population monitoring, health records, diagnostics, and clinical decisions, to drug procurements, and accounting. Technologies not only support actual treatment and data management, but also help optimize healthcare operations all over the industry.

Healthcare 72

Healthcare Analytics Examples Data 72

TechCrunch

FEBRUARY 10, 2022

Great Expectations got its start when Gong and his co-founder James Campbell — both computer scientists with decades of experience between them — initially were building tools to address the issue of data quality for organizations working in healthcare.

Open Source 205

Open Source Tools Data Engineering 205

CIO

DECEMBER 13, 2022

Recently, chief information officers, chief data officers, and other leaders got together to discuss how data analytics programs can help organizations achieve transformation, as well as how to measure that value contribution. Analytics, Business Intelligence.

Analytics 158

Analytics Strategy Data Metrics 158

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

Agile Engine

DECEMBER 27, 2023

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7. Table of contents 1.

Big Data 52

Big Data Analytics Data Analysis 52

Xicom

JULY 21, 2020

Back in 2000, when the human genome was sequenced entirely, the hope and excitement around the ability to customize medicine or drug, to an individual genomic data was quite high. Even presently, healthcare organizations face growing pressure to accomplish better care coordination and improved patient care outcomes.

Healthcare 52

Healthcare Analytics Technical Advisors Analysis 52

AWS Machine Learning - AI

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. From deriving insights to powering generative artificial intelligence (AI) -driven applications, the ability to efficiently process and analyze large datasets is a vital capability.

Serverless 119

Serverless AWS Artificial Inteligence Big Data 119

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.

Weak Development Team 52

Weak Development Team Big Data Data Artificial Inteligence 52

Altexsoft

JANUARY 22, 2020

Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. A complete guide to business intelligence and analytics. The role of business intelligence developer.

Analytics 20

Analytics Data IoT Analysis 20

CTOvision

NOVEMBER 29, 2016

Firms need to be able to connect the dots so as to finally create what traditional enterprise Business Intelligence (BI) has been striving for, the ‘360-degree’ view of the customer – or now, the digital consumer. But that 2.5 A variety of use cases. That’s not to say CIOs haven’t already been taking advantage of NoSQL. Large datasets.

Healthcare 101

Healthcare Analytics Network Media 101

Altexsoft

MARCH 18, 2021

From the late 1980s, when data warehouses came into view, and up to the mid-2000s, ETL was the main method used in creating data warehouses to support business intelligence (BI). As data keeps growing in volumes and types, the use of ETL becomes quite ineffective, costly, and time-consuming. Data size and type.

Systems Review 109

Systems Review Technical Review Software Review Big Data 109

Perficient

MARCH 14, 2023

Here is a high-level overview of the blog series: Blog 1 Summary: Driving ROI in Healthcare with Data and Analytics Modernization Most healthcare organizations we work with have taken some steps towards modernizing their data and analytics capabilities. You can find the full blog series, here.

Data 64

Data Healthcare AWS Analytics 64

Kaseya

NOVEMBER 9, 2023

Along with the computing resources of IaaS, PaaS also offers middleware, development tools, business intelligence (BI) services, database management systems and more. It allows organizations to efficiently manage and process vast amounts of data without the constraints of on-premises infrastructure.

Cloud 105

Cloud Disaster Recovery Infrastructure Artificial Inteligence 105

Perficient

FEBRUARY 13, 2023

In part 1 of our blog series , we talked about driving ROI in healthcare with data analytics modernization. Through past implementations, Perficient has learned a lot about what adds time, effort, and cost to healthcare data & analytics projects. We call this framework the Healthy Lakehouse.

Healthcare 64

Healthcare AWS Analytics Pharmaceuticals 64

Altexsoft

DECEMBER 9, 2020

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Data warehouse architecture. Analytics maturity model.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87

Data Data Engineering Big Data Architecture 87

Perficient

FEBRUARY 28, 2023

Home Health Success Story One of the country’s largest home healthcare providers asked Perficient to assist them to define, architect, and implement a modern data & analytics solution. They wanted to become an operationally integrated, data-driven organization and realized they needed help getting there.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

Datavail

SEPTEMBER 2, 2021

If you’re in or related to the healthcare industry, for example, you need to be concerned about complying with the Health Insurance Portability and Accountability Act (HIPAA). You’ll need to determine how you can set up protections such as masking PII and HIPAA data or encrypting it.

Analytics 89

Analytics Cloud Data Artificial Inteligence 89

Tenable

JULY 20, 2022

Oracle Big Data Graph. Oracle HealthCare Applications. Oracle REST Data Services. Oracle Business Intelligence Enterprise Edition. Oracle Data Integrator. Oracle Enterprise Manager. Oracle Health Sciences Applications. Oracle JD Edwards. Oracle Java SE. Oracle GoldenGate. Oracle Policy Automation.

Retail 105

Retail Blockchain Database Administration Authentication 105

Altexsoft

MAY 20, 2020

Other most popular activity areas are energy, mobility, smart cities and healthcare. Among successful use cases in other domains are projects for Philips HealthCare, Rio Tinto (the world’s second largest metals and mining corporation), and Bayer Crops Science (agriculture). The largest target areas for IoT platforms. Source: AWS.

IoT 141

IoT Azure AWS Transportation 141

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective. Check out this list below to see some of them in action: Comcast.

Enterprise 50

Enterprise Cloud Data Healthcare 50

DataRobot

APRIL 29, 2021

Rob O’Neill is Head of Analytics for the University Hospitals of Morecambe Bay, NHS Foundation Trust , where he leads teams focused on business intelligence, data science, and information management. Rob will be speaking on the topic, Technology Track: Predictive Healthcare Analytics Democratization.

Conference 59

Conference Artificial Inteligence Machine Learning Analytics 59

Openxcell

MARCH 27, 2025

Proven Track Record: Successful AI implementation across sectors, such as healthcare, HR, finance, etc. Team Strength: Well-equipped team with skilled professionals to look after small to big AI projects. . #1 These include healthcare, finance, eCommerce, logistics, and real estate. By providing these services, Saal.ai

Artificial Inteligence 40

Artificial Inteligence Artificial Intelligence Innovation Company 40

Cloudera

SEPTEMBER 12, 2018

AbbVie, one of the world’s largest global research and development pharmaceutical companies, established a big data platform to provide end-to-end operations visibility, agility, and responsiveness. The lab uses Cloudera running on Cazena’s Fully-Managed Big Data as a Service on Amazon Web Services (AWS). Special Impact.

Artificial Inteligence 45

Artificial Inteligence Data Machine Learning Pharmaceuticals 45

Altexsoft

SEPTEMBER 6, 2018

An expert talking about the capabilities of predictive analytics for business on a morning TV show is far from unusual. Articles covering AI or data science in Facebook and LinkedIn appear regularly, if not daily. Our clients considered working with large datasets a big data problem. Do I Grind healthcare app).

Company 63

Company Off-The-Shelf Data Software Review 63

Altexsoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. Cloudera , focusing on Big Data analytics. What Kafka is used for.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

KitelyTech

FEBRUARY 4, 2021

Machine learning algorithms are being used in applications like clinical research, financial services, online marketing, e-commerce, transportation safety, manufacturing, and healthcare. What is Data Science? With this, businesses can use pre-existing databases to provide better insight into the real business intelligence.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Data Artificial Intelligence 52

Sunflower Lab

OCTOBER 2, 2023

Microsoft Azure’s Synapse Analytics is an integrated platform solution that brings together the capability of data warehousing, data connectors, ETL pipelines, analytics tools, and services, as well as the scale for big data, visualization, and dashboards.

Azure 40

Azure Analytics UI/UX Software Review 40

Mobilunity

DECEMBER 9, 2024

Data Science (Bachelors) amplifies a fundamental AI aspect – management, analysis, and interpretation of large data sets, giving strong knowledge of machine learning, data visualization, big data processing, and statistics for designing AI models and deriving insights from data. Big Data technologies.

Engineering 52

Engineering Artificial Inteligence Machine Learning Artificial Intelligence 52

Tenable

JANUARY 19, 2022

In addition to the broader message, Oracle provided some details around affected products for the other associated Log4j vulnerabilities: CVE Product Component Remote Exploit without Auth CVE-2021-45105 Oracle Communications WebRTC Session Controller Signaling Engine, Media Engine (Apache Log4j) Yes CVE-2021-45105 Oracle Communications Services Gatekeeper (..)

Retail 52

Retail Construction Airlines Systems Administration 52

Altexsoft

JUNE 14, 2021

On top of that, the company uses big data analytics to quantify losses and predict risks by placing the client into a risk group and quoting a relevant premium. The platform facilitates the customer’s interaction with their healthcare professionals. How data engineers and data platforms work.

Insurance 88

Insurance Artificial Inteligence Machine Learning Policies 88

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

In the case of Hybrid and multi-cloud, we are mixing up multiple clouds which increases operational and data management complexity. Operational policies and methods are different and aggregation of data across multiple clouds boundaries makes it difficult for governance, analytics, and business intelligence.

Cloud 49

Cloud AWS Open Source Data Center 49

Openxcell

JANUARY 6, 2023

Instead of making substantial investments in databases, software, and hardware, businesses prefer to access their computing power over the internet or in the cloud. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Amazon Web Services (AWS).

Architecture 52

Architecture Cloud Storage Google Cloud 52

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 Artificial Inteligence 52