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

AWS Machine Learning - AI

MARCH 18, 2025

For instance, envision a voice-enabled virtual assistant that not only understands your spoken queries, but also transcribes them into text with remarkable accuracy. This could be done through mobile devices, dedicated recording stations, or during virtual consultations. He helps customers implement big data and analytics solutions.

Artificial Inteligence 113

Artificial Inteligence Technical Review Healthcare Systems Review 113

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 117

Serverless AWS Artificial Inteligence Big Data 117

Kentik

MAY 8, 2016

Enabling a Data-driven Approach for Better Network Management. Across virtually every sector of the economy today, companies face a common imperative: integrate digital technologies and practices or risk falling by the wayside. Big Data for Network Management. Traffic Growth Stresses Traditional Management Tools.

Big Data 40

Big Data Data Network Agile 40

Kentik

MAY 31, 2016

This post is the third in my series about the intelligent use of network management data to enable virtually any company to transform itself into a digital business. In the first post we discussed the need for a Big Data approach to network management in order to support agile business models and rapid innovation.

Big Data 40

Big Data Data Analytics Weak Development Team 40

Kaseya

NOVEMBER 9, 2023

Cloud computing leverages virtualization technology that enables the creation of digital entities called virtual machines. These virtual machines emulate the behavior of physical computers, existing harmoniously on a shared host machine yet maintaining strict isolation from one another. How does cloud computing work?

Cloud 105

Cloud Disaster Recovery Infrastructure Artificial Inteligence 105

CIO

MARCH 24, 2023

A framework for managing data 10 master data management certifications that will pay off Big Data, Data and Information Security, Data Integration, Data Management, Data Mining, Data Science, IT Governance, IT Governance Frameworks, Master Data Management

Government 214

Government Data Technical Review Policies 214

Apiumhub

MARCH 4, 2021

With DaaS, organizations can access global data and create benchmarking reports that may include financial performance, turnover, leadership effectiveness with percentile breakdowns. Business intelligence. Companies can offer their data as a service to internal users facilitating business intelligence.

Trends 72

Trends Data Analytics Business Intelligence 72

Datavail

SEPTEMBER 2, 2021

But, there are many players in the data analytics market. Virtually every company has governance issues they need to address. You’ll need to determine how to structure the data to answer those types of questions. You’ll need to find solutions that will be strong over the long term, and that work well together to meet your needs.

Analytics 89

Analytics Cloud Data Artificial Inteligence 89

Data Virtualization

DECEMBER 12, 2019

These days, artificial intelligence (AI) and machine learning (ML) seem to be everywhere around us, answering questions, designing components, and even driving cars. Can they also help with data virtualization? But first, let’s make sure that when we.

Artificial Inteligence 40

Artificial Inteligence Virtualization Artificial Intelligence Data 40

Tenable

JULY 20, 2022

Oracle Big Data Graph. Oracle REST Data Services. Oracle Virtualization. Oracle Business Intelligence Enterprise Edition. Oracle Data Integrator. Oracle JD Edwards. Oracle Java SE. Oracle GoldenGate. Oracle Food and Beverage Applications. Oracle HealthCare Applications. Oracle Policy Automation.

Retail 104

Retail Blockchain Database Administration Authentication 104

AWS Machine Learning - AI

AUGUST 8, 2024

Managing and retrieving the right information can be complex, especially for data analysts working with large data lakes and complex SQL queries. RAG optimizes language model outputs by extending the models’ capabilities to specific domains or an organization’s internal data for tailored responses.

Artificial Inteligence 127

Artificial Inteligence Data Generative AI AWS 127

Data Virtualization

MARCH 3, 2021

To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is. The post Data Management Challenges for the Modern Enterprise appeared first on Data Virtualization blog.

Enterprise 75

Enterprise Data Virtualization Strategy 75

Kentik

FEBRUARY 14, 2023

In today’s digital world, data is generated faster and at a larger scale than ever before. With software architectures increasingly adopting distributed, cloud-based models , network infrastructures have become complex webs of virtual and physical devices. What are the main features of a modern data platform?

Network 52

Network Data Artificial Inteligence Analysis 52

Dion Hinchcliffe's Web 2.0 Blog

JANUARY 11, 2012

Now that the basic platforms for social business have matured to the point that they’re ready for most organizations — and by this I mean both internally and externally for most common business functions like operations, CRM , marketing, product development, etc. Virtual Conference. Enterprise 2.0 February 16th.

Social 90

Social Conference Media Enterprise 90

Altexsoft

MARCH 30, 2023

To dive deeper into details, read our article Data Lakehouse: Concept, Key Features, and Architecture Layers. The lakehouse platform was founded by the creators of Apache Spark , a processing engine for big data workloads. The platform can become a pillar of a modern data stack , especially for large-scale companies.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Apiumhub

AUGUST 28, 2018

It is a cloud-based big data analytics platform, built to improve data-driven decision making. Elafris has developed an AI-driven virtual insurance agent platform that enables insurers to engage consumers via messenger applications. InsurTech startups to keep an eye on in 2018.

Insurance 96

Insurance Technical Review Artificial Inteligence Policies 96

Kentik

MAY 10, 2017

Meanwhile, Light Reading is talking network functions virtualization (NFV) and how network operators can overcome relevant challenges. NFV’s Major Movements (Light Reading) When it comes to network functions virtualization (NFV), network operators need more support.

Internet 40

Internet Network Big Data Technical Review 40

Kentik

JULY 10, 2018

Monitoring needs to span multiple domains: the private enterprise data center and WAN; fixed and mobile service provider networks; the public Internet; and hybrid multi-cloud infrastructure. Network data is big data. Big Data was born in the cloud and Big Data analytics is well-suited for cloud-based deployments.

Tools 45

Tools Cloud Big Data WAN 45

TIBCO - Connected Intelligence

JULY 13, 2020

While COVID-19 presents a short-term hindrance, I recently simulated this experience with my friend Philip Moston, a business intelligence (BI) Architect and Solutions Consultant at TIBCO partner QuinScape, based in Dortmund, home to the highest concentration of breweries in Germany. . What is driving this uptick? .

Analytics 58

Analytics Data Virtualization Business Intelligence 58

Altexsoft

JANUARY 14, 2021

It is usually created and used primarily for data reporting and analysis purposes. Thanks to the capability of data warehouses to get all data in one place, they serve as a valuable business intelligence (BI) tool, helping companies gain business insights and map out future strategies.

Backup 115

Backup Azure Software Review Architecture 115

Altexsoft

MAY 20, 2020

Vetted messages are processed by the Rules Engine which routes them either to a device or cloud AWS service — like AWS Lambda (a serverless computing platform), Amazon Kinesis (a solution for processing big data in real time), Amazon S3 (a storage service), to name a few. It easily integrates with. Digital Twins.

IoT 141

IoT Azure AWS Transportation 141

DataRobot

APRIL 29, 2021

The AI Experience Worldwide (Virtual) Conference , scheduled for May 11-12, 2021 in the APAC, EMEA, and Americas regions, is right around the corner. Rachik is working to transform that company’s products through data analytics and AI and will be speaking on the topic, Executive Track: Turning an Industry Upside Down. .

Conference 59

Conference Artificial Inteligence Machine Learning Analytics 59

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. Big data analysis.

Company 63

Company Off-The-Shelf Data Software Review 63

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. BTW, we have an engaging video explaining how data engineering works. Source: Snowflake.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Cloudera

FEBRUARY 8, 2024

It brings the reliability and simplicity of SQL tables to big data while enabling engines like Hive, Impala, Spark, Trino, Flink, and Presto to work with the same tables at the same time. Apache Iceberg forms the core foundation for Cloudera’s Open Data Lakehouse with the Cloudera Data Platform (CDP).

Groups 91

Groups Technical Review Performance AWS 91

Coforge

JULY 28, 2021

Organizations can quickly solve these business challenges by embracing Azure Synapse Analytics, a limitless analytics service that brings together enterprise DWH and big data analytics. It enables companies to analyze data based on their standards through server-less, modern tools at scale.

Azure 52

Azure Analytics Data Artificial Intelligence 52

Data Virtualization

JULY 7, 2022

Organizations that leverage data and information to create dynamic, productive experiences and superior services will be the winning companies of this age.” ” Javier García General Manager W&A Data.

Data 64

Data Virtualization Analysis Organization 64

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

Datavail

JULY 31, 2019

Big data software companies that used to run their applications on Hadoop are now switching to Kubernetes. What’s behind the recent move from Hadoop to Kubernetes, and where is the big data landscape going in the future? Platforms like Hadoop were created during and for a different era in big data.

Development 8

Development Big Data Open Source Google Cloud 8

Altexsoft

OCTOBER 2, 2020

Transporting data from local repositories into a warehouse. Data virtualization uses data abstraction to create a unified view of data for customers, no matter where it resides. Data analytics and business intelligence: drawing insights from data. Snowflake data management processes.

Strategy 64

Strategy Database Administration Data Technical Review 64

Kentik

MARCH 7, 2018

IoT plays a key role in sensing all of the critical elements in the physical world and delivering a continuous feed of sensor data to a Big Data analytics cluster situated in the cloud. McKinsey offers a typical definition: “We define Industry 4.0 Industry 4.0 An Industry 4.0

Industry 40

Industry Data Center WAN Big Data 40

Altexsoft

FEBRUARY 24, 2023

Kubernetes cluster A key concept of Kubernetes is a cluster — a set of physical or virtual machines or nodes that execute the containerized software. a DevOps engineer described the benefits of migrating from virtual machines to Google Kubernetes Engine on Hacker News. I’ll never have to touch Puppet.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Data Virtualization

OCTOBER 5, 2022

For this reason, organizations must periodically revisit their data architectures, to ensure that they are aligned with current business goals.

Architecture 52

Architecture Data Virtualization Analysis 52

Altexsoft

JUNE 14, 2021

Lemonade is a US insurance company that uses Maya – an AI-powered bot, to collect and analyze customer data. Maya acts as a virtual assistant that gets information, provides quotes, and handles payments. Clients can receive their lab reports, medical records, physician recommendations, and virtual care from the app.

Insurance 88

Insurance Machine Learning Artificial Inteligence Policies 88

Altexsoft

OCTOBER 24, 2019

With a data warehouse, an enterprise is able to manage huge data sets, without administering multiple databases. Such practice is a futureproof way of storing data for business intelligence (BI) , which is a set of methods/technologies of transforming raw data into actionable insights.

Architecture 50

Architecture Enterprise Data Technical Review 50