Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

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

Cloudera

OCTOBER 28, 2020

By using data to listen to their customers better. The most innovative companies use data and analytics to offer appropriate products and services. To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data.

Data 74

Data Analytics Banking Artificial Inteligence 74

CIO

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Business Intelligence 360

Business Intelligence Data Business Analytics Analytics 360

CTOvision

JULY 31, 2013

By Ryan Kamauff Peter Schlampp, the Vice President of Products and Business Development at Platfora, explains what the Hadoop Big Data reservoir is and is not in this webinar that I watched today. Knowing what the HDR is and is not is key to pulling out business intelligence insights and analytics.

Big Data 91

Big Data Data Business Intelligence Analytics 91

The Agile Monkey

MARCH 14, 2023

Event-driven machine learning will enable a new generation of businesses that will be able to make incredibly thoughtful decisions faster than ever, but is your data ready to take advantage of it? And the key differentiation factor is going to be the amount and quality of their data.

Artificial Inteligence 98

Artificial Inteligence System Software Machine Learning 98

CTOvision

NOVEMBER 21, 2014

The video at this link and embedded below features Paytronix President Andrew Robbins in a discussion of big data. They help their clients serve their customers through data insights. Business Challenges. It also wanted to improve data storage and ETL to provide better insights for customers and end users.

Big Data 105

Big Data Analysis Storage Business Analytics 105

Actian

AUGUST 19, 2019

IoT devices create plenty of data – much more that you might think. When you multiply this amount of data by the number of devices installed in your company’s IT ecosystem, it is apparent IoT is a truly big data challenge. Why would you move IoT data to the cloud? Aggregate data from multiple devices in one place.

IoT 45

IoT Cloud Data Analytics 45

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

O'Reilly Media - Data

JULY 23, 2018

Recognizing the interest in ML, the Strata Data Conference program is designed to help companies adopt ML across large sections of their existing operations. Along the way, I’ll highlight key sections of the upcoming Strata Data conference in New York this September. Managing data science in the enterprise.

Artificial Inteligence 123

Artificial Inteligence Machine Learning How To Case Study 123

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 Inteligence Artificial Intelligence 97

Hu's Place - HitachiVantara

JUNE 20, 2018

In my last blog post I commented on Hitachi Vantara’s selection as one of the “ Coolest Business Analytics vendors” by CRN, Computer Reseller News, and expanded on Hitachi Vantara’s business analytics capabilities. In this post I will be expanding on how we address the rest of the big data pyramid.

Big Data 49

Big Data Business Analytics Data Center Analytics 49

AWS Machine Learning - AI

JULY 25, 2024

Amazon Q Business is a fully managed, generative artificial intelligence (AI)-powered assistant that helps enterprises unlock the value of their data and knowledge. At the core of this capability are native data source connectors that seamlessly integrate and index content from multiple repositories into a unified index.

Azure 82

Azure Artificial Inteligence Authentication Generative AI 82

Cloudera

JANUARY 14, 2021

They are armed with more knowledge than ever before, as a result, four strategic pillars have emerged that have resulted as leading retailers and brands have deployed a data-centric strategy enabling a customer-first approach.

Retail 74

Retail Agile Analytics Storage 74

Sunflower Lab

JULY 5, 2023

AI algorithms help to understand and interpret the given data to make predictions and information-driven decisions. Ai helps in achieving efficiency and accuracy in business operations. 2. Robotic Process Automation (RPA) Robotic Process Automation uses software robots or bots to automate repetitive tasks in business processes.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Analytics 52

Openxcell

FEBRUARY 1, 2023

SaaS: Everything you need to know Traditionally, companies invested optimum capital in on-premise infrastructure to streamline business analytics, CRM, and automation. In recent years, it has been possible to operate the whole business offsite using SaaS or Software-as-a-Service. SaaS offers minimal upfront costs.

Software Review 98

Software Review Industry Software Technical Review 98

Cloudera

AUGUST 31, 2020

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. And Cloudera is at the heart of enabling these real-time data driven transformations. .

Analytics 104

Analytics Airlines Off-The-Shelf Insurance 104

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

The Kini Group

APRIL 11, 2016

Have you seen that BAE Systems commercial featuring a CEO being told all of this company data has been hacked? Many other company leaders are worried about their data security too. 86% of executives are concerned about a lack of data security. The number of records exposed in data breaches rose 97% in 2015.

Data 44

Data Software Review Handbook Analytics 44

CIO

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Artificial Inteligence 292

Artificial Inteligence Data Artificial Intelligence Analytics 292

CTOvision

FEBRUARY 4, 2015

The Cloudera Federal Forum, now in its 4th year, has always been filled with lessons learned, best practices and informative glimpses into what is coming from the big data tech community. 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

Cloudera

OCTOBER 21, 2020

Their models, data, and systems, curated for decades or centuries and fiercely protected, simply did not and could not factor in how a global pandemic would affect their customers. Another example can be found in health insurance, when evaluating the long-term health effects of COVID-19, based on limited, changing data. . Health data.

Insurance 75

Insurance Industry Cloud Analytics 75

Sunflower Lab

JUNE 26, 2023

Some features of the application are as follows: SaaS platform that automated a secured process and storage of electronic medical records (EMR). Automated scheduling and data capture through OCR decreases the time taken by hospital staff in uploading new patient records and schedule appointments.

Mobile 52

Mobile Development VR IoT 52

Mobilunity

NOVEMBER 17, 2021

A Platform as a Service provider manages the storage, servers, networking resources and data centers. Google’s App Engine is a cloud computing integration Platform as a Service for developing and hosting web apps in Google-managed data centers. This includes operating systems, databases, servers and storage.

Software Review 52

Software Review How To Systems Review Operating System 52

AWS Machine Learning - AI

JUNE 26, 2024

Financial analysts and research analysts in capital markets distill business insights from financial and non-financial data, such as public filings, earnings call recordings, market research publications, and economic reports, using a variety of tools for data mining.

Artificial Inteligence 103

Artificial Inteligence Research Knowledge Base Applications 103

Cloudera

JULY 13, 2022

In this article we discuss the various methods to replicate HBase data and explore why Replication Manager is the best choice for the job with the help of a use case. Cloudera Replication Manager is a key Cloudera Data Platform (CDP) service, designed to copy and migrate data between environments and infrastructures across hybrid clouds.

Disaster Recovery 94

Disaster Recovery Data Policies Azure 94

Honeycomb

JANUARY 17, 2019

S e arch-first – A “search-based” system ingests log & metric data and generally relies on the user to provide the right text to locate a set of results that may or may not prove to be useful. It is only through parsing or extracting structure from logs that analytical observations can be made. The legacy of log search.

Systems Review 40

Systems Review System Comparison Analytics 40

The Accidental Successful CIO

JULY 21, 2021

Be Sure To Centralize Data Analytics. In most companies, IT departments have been responsible for data collection, storage and management. The job of data analysis , meanwhile, is usually handled within individual business units. Always Stay On Top Of Security.

Analytics 52

Analytics Technical Review Systems Review Trends 52

Infinidat

MARCH 10, 2021

Re-Thinking the Storage Infrastructure for Business Intelligence. With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

Hu's Place - HitachiVantara

AUGUST 13, 2018

With a team of 70 to 80 engineers they use open source - from open source data base, to open source libraries, and workflow engines to get to the next level faster. Recently, MyRepublic engaged Hitachi to help accelerate the company’s telecommunications technology strategy and enhance business operations across their customer base.

Industry 45

Industry Open Source Wireless Mobile 45

Perficient

FEBRUARY 22, 2024

A common symptom of organizations operating at suboptimal performance is when there is a prevalent challenge of dealing with data fragmentation. The fact that enterprise data is siloed within disparate business and operational systems is not the crux to resolve, since there will always be multiple systems.

Virtualization 52

Virtualization Enterprise Data Analytics 52

Actian

AUGUST 19, 2019

IoT devices create plenty of data – much more that you might think. When you multiply this amount of data by the number of devices installed in your company’s IT ecosystem, it is apparent IoT is a truly big data challenge. Why would you move IoT data to the cloud? Aggregate data from multiple devices in one place.

IoT 8

IoT Cloud Data Analytics 8

Cloudera

NOVEMBER 18, 2020

During the first-ever virtual broadcast of our annual Data Impact Awards (DIA) ceremony, we had the great pleasure of announcing this year’s finalists and winners. In fact, each of the 29 finalists represented organizations running cutting-edge use cases that showcase a winning enterprise data cloud strategy. Data Champions .

Data 124

Data Analytics Banking Big Data 124

AWS Machine Learning - AI

AUGUST 2, 2024

On the other hand, generative artificial intelligence (AI) models can learn these templates and produce coherent scripts when fed with quarterly financial data. Use clear and concise language to explain financial performance and business developments. Amazon Earnings call transcript for Q1 2021.

Artificial Inteligence 105

Artificial Inteligence Engineering Generative AI Comparison 105

TechCrunch

SEPTEMBER 13, 2022

In late 2020, developers Noam Liran and Alex Litvak were inspired to create a platform that applied automation concepts from security to the business analytics space. Based on data from Venture Scanner, VC funding in RO&I companies jumped from $321 million in 2020 to $952 million in 2021.

Business Intelligence 185

Business Intelligence Analytics Business Analytics Hardware 185

Cloudera

NOVEMBER 2, 2020

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. Ingest 100s of TB of network event data per day .

Data 100

Data Analytics Storage Big Data 100

Mobilunity

NOVEMBER 24, 2021

The demand for specialists who know how to process and structure data is growing exponentially. In most digital spheres, especially in fintech, where all business processes are tied to data processing, a good big data engineer is worth their weight in gold.

Development 52

Development Storage Recruiting Architecture 52