Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

TechCrunch

FEBRUARY 23, 2022

“On one side, there’s huge volumes of data. For the last 10 years, big data has just become de rigueur, it’s a normal ordinary thing now and only getting bigger. But the other side of that is how do you interpret all that data?”

Engineering 190

Engineering Open Source Big Data Fintech 190

CTOvision

FEBRUARY 24, 2014

By Bob Gourley Note: we have been tracking Cloudant in our special reporting on Analytical Tools , Big Data Capabilities , and Cloud Computing. Cloudant will extend IBM’s Big Data and Analytics , Cloud Computing and Mobile offerings by further helping clients take advantage of these key growth initiatives.

Big Data 107

Big Data Mobile Cloud Data 107

CIO

OCTOBER 13, 2023

As this technology becomes more popular, it’s increased the demand for relevant roles to help design, develop, implement, and maintain gen AI technology in the enterprise. This role is responsible for training, developing, deploying, scheduling, monitoring, and improving scalable machine learning solutions in the enterprise.

Generative AI 359

Generative AI Company Machine Learning Artificial Inteligence 359

CIO

JUNE 7, 2023

These companies act on this data in the moment, serving millions of customers in real time. Let’s take a look at why Cassandra is the database of choice for organizations building enterprise-scale, real-time AI applications. It’s time to reconsider your data infrastructure and invest in the right technology to fuel your growth.

Organization 130

Organization Artificial Inteligence Open Source Architecture 130

CTOvision

JANUARY 15, 2014

Editor’s note: My sense is this relationship will have important and positive impacts on many clients leveraging Hadoop in enterprises, especially those that would like to leverage Apache Accumulo. The enterprise data hub is the emerging and necessary center of enterprise data management, complementing existing infrastructure.

Enterprise 105

Enterprise Big Data Data Analytics 105

Trigent

APRIL 14, 2022

Here, we want to talk about how the workplace has changed forever: especially the distributed enterprise. . To be fair, the distributed enterprise is not a new concept at all. How will you make the Distributed Enterprise future-ready? . CSPs have blurred the line between enterprise and carrier cloud with their offerings.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

CTOvision

APRIL 6, 2015

Here is more: Enterprises in government are awash in more data than they can make sense of. This has given rise to the current “Big Data” phenomenon, in which opportunities for turning data into knowledge using analytics calls for new solutions. Download this overview at: SAS and Apache Hadoop for Government.

Government 113

Government Business Analytics Big Data Architecture 113

Existek

NOVEMBER 22, 2021

Need an enterprise app to boost your business efficiency but don’t know where to start? This article will serve as a step-by-step guide to enterprise web development. Besides, enterprises are large companies that contain over a thousand employees. First of all, enterprise solutions have to be highly scalable and perform well.

Web Development 52

Web Development UI/UX Weak Development Team Enterprise 52

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

CTOvision

MARCH 14, 2014

By Michael Johnson For enterprise technology decision-makers, functionality, interoperability, scalability security and agility are key factors in evaluating technologies. Pentaho has long been known for functionality, scalability, interoperability and agility. Product innovation drives unprecedented enterprise customer growth.

Big Data 107

Big Data Business Analytics Analytics Business Intelligence 107

CTOvision

MARCH 31, 2014

In case you missed it we want to provide some information on a coming session GovLoop is hosting on the topic of Big Data. The Foundation for Data Innovation: The Enterprise Data Hub. Today, government agencies are looking for new ways to leverage data as a means to create a more effective and efficient agency.

Innovation 102

Innovation Tools Big Data Government 102

Openxcell

DECEMBER 18, 2023

Benefits of using AI in app development Implementing Artificial Intelligence (AI) into applications delivers a host of benefits that enhance user experience and provide innovative solutions for enterprises. Predictive Analytics Predictive analysis is another crucial avenue to predict user behavior and preferences.

Artificial Inteligence 52

Artificial Inteligence Applications Development Artificial Intelligence 52

CTOvision

APRIL 13, 2015

Napatech has been providing industry leading network management and security accelerators to telcos, the financial industry, and enterprises since 2003. Built on a commodity compute platform and scalable up to 1000 TB, Pandion provides real-time Capture-to-Disk with zero packet loss at speeds up to 100 Gbps. For more see [link].

Big Data 88

Big Data Analysis Architecture Hardware 88

Perficient

FEBRUARY 28, 2023

Academic Medical Center Case Study This was an academic medical center that was running into challenges to integrate large data sets securely and quickly to make the data usable and valuable to its providers and researchers. They initially had a traditional, on-premises enterprise data warehouse to store and analyze data.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

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 Engineering 130

Data Engineering Engineering Data Technical Review 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

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

APRIL 3, 2014

They are: Axon Ghost Sentinel – Hugh Brooks, President, Harrisonburg, VA – Inspired by natural self-organizing systems, Axon Ghost Sentinel’s cyber security products provide lightweight, adaptive, scalable, and decentralized security for mobile and traditional devices, and enterprise networks. identiaIDentia Inc.

IPv6 103

IPv6 Company Big Data Enterprise 103

Mobilunity

MAY 8, 2023

An Enterprise Data Lake is a large, centralized repository that stores structured and unstructured data at scale. It is designed to store vast amounts of data from a variety of sources. Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise.

Engineering 52

Engineering Data Storage AWS 52

Infinidat

DECEMBER 3, 2019

Uncover the Value of Your Data at Gartner IOCS in Las Vegas. Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” - Geoffrey Moore. The sheer amount of data being generated has the potential to offer the most accurate -- and most actionable -- insights for businesses.

Data 52

Data Storage Big Data Conference 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. Data Integration for Marketing. Replicating Databases.

Company 78

Company Data Technical Review Analysis 78

CTOvision

OCTOBER 18, 2013

With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. Which firms have something so important that you should push hard to get them into your enterprise?

Technical Review 99

Technical Review Analytics Technology Big Data 99

Cloudera

OCTOBER 28, 2021

In the days of Lloyd’s Coffee House , insurers gathered data about cargo, voyages, seasonal weather and the performance history of vessels and mariners to underwrite risks. The data was not created by the underwriters; it all was sourced from the insured enterprises, industry-specific sources or associated third parties.

Insurance 97

Insurance Data Analytics Industry 97

Cloudera

JUNE 7, 2022

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. For Cloudera this is a back to the future moment.

Data 111

Data Architecture Analytics Government 111

CTOvision

MAY 27, 2014

They help organizations rapidly mind and correlate massive volumes of data as it arrives, from any source. ICG provides enterprises with LUX, a platform with features in high demand, including: Real-time processing – The LUX engine rapidly digests everything that is known in the fused data stream, assisting missions in a timely manner.

Data 101

Data Analytics Big Data Machine Learning 101

CTOvision

JUNE 3, 2014

The addition will immediately deliver enterprise-grade data encryption and key management, addressing head on the challenges associated with securing and processing sensitive and legally protected data within the Hadoop ecosystem. Terms of the deal were not disclosed. That’s what we’re solving now.”

Big Data 108

Big Data Open Source Weak Development Team Compliance 108

Actian

JUNE 10, 2019

Companies have been moving applications and IT components to the cloud for a few years to save costs, improve performance and achieve solution scalability. The trend of 2019 is for companies to migrate data warehouses to the cloud where they can be operated at a lower cost and with greater performance and scalability.

Trends 40

Trends Data IoT Big Data 40

Actian

FEBRUARY 24, 2020

RPA vendors often resort to using or embedding open source integration tools, which are risky; these tools may not have enterprise-level support, may not be secure, and also have the risk of being acquired by a larger vendor. RPA vendors also have a data challenge. It’s both a big data challenge and a distributed data challenge.

Artificial Inteligence 40

Artificial Inteligence IoT Artificial Intelligence Mobile 40

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Cloudera

SEPTEMBER 7, 2018

Whether it’s a rogue trader in a bank or brokerage or someone illegally sharing company intellectual property or intelligence, illegal insider actions put enterprises at risk of losing millions. This could be in the form of reputational damage or unfavorable regulatory consequences in case of compromised customer data, for example.

Machine Learning 50

Machine Learning Artificial Inteligence Scalability Analytics 50

Datavail

JULY 7, 2022

Agility and scalability. Traditional on-premises analytics infrastructure is limited in terms of the agility and scalability that you can achieve. Unstructured data. Legacy analytics infrastructure was often designed for an era where the majority of enterprise data was structured (i.e. High data volumes.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Cloudera

SEPTEMBER 10, 2018

Among the many reasons that a majority of large enterprises have adopted Cloudera Data Warehouse as their modern analytic platform of choice is the incredible ecosystem of partners that have emerged over recent years. Informatica’s Big Data Manager and Qlik’s acquisition of Podium Data are just 2 examples.

Data 44

Data Analytics Scalability Enterprise 44

Cloudera

MAY 28, 2019

But rather as businesses look to operationalize machine learning capabilities at scale, they’ll turn increasingly to commercial platforms, with connectors to open source , where investments in enterprise features like collaboration, reuse, transparency, model management and data platform integration have been focused. Stay tuned.

Compliance 48

Compliance Innovation Meeting Industry 48

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. Together with Simudyne, Cloudera makes it possible.

Artificial Inteligence 42

Artificial Inteligence Machine Learning Analytics Big Data 42

Xebia

MARCH 10, 2021

Data Science and Advanced Analytics encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large data sets [1]. The focus of data science is on improving decision making through the analysis of data [1]. Current State of Practice.

DevOps 130

DevOps Data Analytics Policies 130

John Snow Labs

FEBRUARY 29, 2024

To fully realize the benefits of Generative AI, BCG recommends that healthcare leaders create an enterprise-wide strategy, invest in data systems and capabilities, forge strategic partnerships, and integrate with the broader industry ecosystem​​. However as AI technology progressed its potential within the field also grew.

Generative AI 40

Generative AI Healthcare Artificial Inteligence Technical Review 40