Cloudera

FEBRUARY 25, 2021

They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. The project launches an interactive visualization for exploring the quality of representations extracted using multiple model architectures.

Machine Learning 81

Machine Learning Artificial Inteligence Telecommunications Enterprise 81

Apiumhub

NOVEMBER 20, 2023

As the organizers of the Global Software Architecture Summit , we recognized the significance of introducing this subject in the forthcoming edition. His primary responsibility is to integrate sustainability into the engineering roadmap and utilize the company’s portfolio to champion sustainability solutions.

Fractional CTO 81

Fractional CTO Software CTO Sustainability 81

Cloudera

NOVEMBER 12, 2020

Traditional on-premise architectures, which create a fixed, finite set of resources, forces every business request for new insight to be a crazy resource balancing act, coupled with long wait times, or a straight-up no, it cannot be done. A tale of two organizations. We see it everywhere.

Data Center 101

Data Center Cloud Data Policies 101

Kentik

APRIL 3, 2018

Networking teams no longer need to be limited by unresponsive tools, aggregated stats, and data deadends. One of the more obvious, yet powerful uses for Kentik Detect is a dashboard that provides a comprehensive overview of network traffic across the entire infrastructure: LAN / WAN, internal data centers and public cloud.

Network 40

Network WAN LAN Policies 40

Cloudera

FEBRUARY 15, 2024

While this might be a blast from the past we’d rather leave in the proverbial rear-view mirror, in March of 2023 we were back to the future with the collapse of Silicon Valley Bank (SVB), the largest US bank to fail since 2008. Anyone can make their future whatever they want it to be.” Well, sort of.

Insurance 82

Insurance Compliance Technical Review Banking 82

Mobilunity

DECEMBER 21, 2022

Some other industries include law, traffic, communication, banking and education. Services Data Scientists Can Offer. Data scientists specialize in a variety of tasks that can benefit businesses in different ways. Some of the most noteworthy services they offer include: Data Science and Big Data Consulting.

Data 52

Data How To Machine Learning Artificial Inteligence 52

Apiumhub

AUGUST 12, 2021

Developer Advocate with 15+ years experience consulting for many different customers, in a wide range of contexts (such as telecoms, banking, insurances, large retail and public sector). His current technical expertise focuses on integration platform implementations, Azure DevOps, and Cloud Solution Architectures. Twitter: ??

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Abhishek Tiwari

JULY 12, 2018

Unfortunately, building data pipelines remains a daunting, time-consuming, and costly activity. Not everyone is operating at Netflix or Spotify scale data engineering function. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines.

Data 63

Data Software Review Technical Review Microservices 63

Altexsoft

JUNE 11, 2021

For financial institutions, such as banks, insurance companies, or loan associations, the biggest operational priorities are security, accuracy, and speed of transactions. In 2018, Piraeus Bank, a Greek multinational financial services company, encountered problems after adopting RPA to automate the consumer loan process.

Applications 69

Applications Weak Development Team Systems Review Software Review 69

CIO

AUGUST 18, 2022

You can intuitively query the data from the data lake. Users coming from a data warehouse environment shouldn’t care where the data resides,” says Angelo Slawik, data engineer at Moonfare. At Paris-based BNP Paribas, scattered data silos were being used for BI by different teams at the giant bank.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

Strategy Driven

AUGUST 27, 2015

Whatever method your organization chooses, it will place a significant strain on your – probably already overwhelmed – central IT department, because they will need to construct a complimentary architecture with these two very different platforms.

Big Data 33

Big Data Data Storage Journal 33

Altexsoft

JULY 29, 2022

a runtime environment (sandbox) for classic business intelligence (BI), advanced analysis of large volumes of data, predictive maintenance , and data discovery and exploration; a store for raw data; a tool for large-scale data integration ; and. a suitable technology to implement data lake architecture.

Big Data 59

Big Data Data Google Cloud Storage 59

O'Reilly Media - Ideas

MARCH 1, 2023

Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence. growth over 2021.

Trends 133

Trends Technical Review Technology Software Review 133

Kentik

JULY 24, 2017

And we retain network data unsummarized for 90 days (longer by arrangement). Enabled by a scale-out big data architecture that’s purpose-built for network operations, these capabilities are critical for effective visibility. And we retain network data unsummarized for 90 days (longer by arrangement).

Cloud 40

Cloud Big Data Data Engineering Internet 40

Altexsoft

JUNE 6, 2019

Critics emphasize that cashless operations discriminate customers without bank accounts and may undermine privacy and data security. Visual search engines use artificial neural networks (ANN) – computing systems which architecture was inspired by the way human brains work. percent of U.S.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

Altexsoft

NOVEMBER 23, 2021

To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization. This post is a perfect place to learn about this approach, its architecture components, differences, benefits, tools, and more. What is data virtualization?

Virtualization 69

Virtualization Tools Data Architecture 69

TIBCO - Connected Intelligence

JUNE 10, 2020

I recently teamed up with Austrian customer Raiffeisen Bank , Dutch partner Connected Data Group , and German partner QuinScape to deliver a webinar entitled “Next-Generation Data Virtualization Has Arrived.” Connected Data Group helps clients become more data-driven and was co-founded with Antoine Stelma.

Sport 62

Sport Data Virtualization Analytics 62

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. Banks, car manufacturers, marketplaces, and other businesses are building their processes around Kafka to. process data in real time and run streaming analytics. Kafka architecture. Scalability.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

OpenCredo

MARCH 20, 2020

The challenge for banks and other financial services providers is how to strike the right balance between security and providing a great user experience. We must control both access to data and where data can be sent by those with access to it. Data Engineering. Challenges. Access Control.

Cloud 40

Cloud Data Weak Development Team Compliance 40

O'Reilly Media - Ideas

JANUARY 25, 2022

What are the bigger changes shaping the future of software development and software architecture? We divided Answers questions into two categories: “organic” queries, which users type themselves, and “question bank” queries, which are sample questions that users can click on. Questions were rotated in and out of the question bank.)

Trends 109

Trends Technical Review Technology Artificial Inteligence 109

Cloudera

MARCH 22, 2022

As an example, low loan growth expectations and margin compression on fee income segments will fuel further consolidation in the US retail banking sector. . That technology fragmentation introduces greater architectural complexity, increased maintenance and operational costs (e.g., data engineering, data warehousing etc.);

Technical Review 79

Technical Review Strategy Data Analytics 79

Hu's Place - HitachiVantara

JANUARY 15, 2019

For lack of similar capabilities, some of our competitors began implying that we would no longer be focused on the innovative data infrastructure, storage and compute solutions that were the hallmark of Hitachi Data Systems. A midrange user now has access to the same, super-powerful features as the biggest banks.

Systems Review 72

Systems Review Storage System Software Review 72

DataRobot

FEBRUARY 2, 2022

DataRobot enables entire teams — from data scientists to data engineers and from IT to business users — to collaborate on a unified platform. I believe in DataRobot’s vision of democratizing AI and enabling the entire organization, not just a few, to use the awesome power of data to drive this next wave of transformation.

Cloud 52

Cloud Innovation Google Cloud Azure 52

DataRobot

OCTOBER 3, 2017

Enterprise data architects, data engineers, and business leaders from around the globe gathered in New York last week for the 3-day Strata Data Conference , which featured new technologies, innovations, and many collaborative ideas. DataRobot Data Prep. Alation and Paxata announced their product integration.

Trends 52

Trends Azure Conference Media 52