CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Mobilunity

AUGUST 3, 2021

Although the Big Data concept itself is relatively new, the origins of huge data sets go back to the 1970s when the world of data was just getting started with the development of the relational database. Today, however, it is used all over the world in countless industries and sectors. Who is Big Data Engineer?

Big Data 52

Big Data Data Engineering Engineering Data 52

CIO

JULY 18, 2023

The CIO’s biggest hiring challenge is clear: “There is simply not enough talent to go around,” says Scott duFour, global CIO of business payments company Fleetcor, for whom positions in areas such as AI, cloud architecture, and data science remain the toughest to fill.

Technical Advisors 246

Technical Advisors Artificial Inteligence Generative AI How To 246

CIO

AUGUST 2, 2023

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. But with the advent of Industry 4.0,

Data 246

Data Architecture Government Strategy 246

CIO

JANUARY 6, 2023

For some that means getting a head start in filling this year’s most in-demand roles, which range from data-focused to security-related positions, according to Robert Half Technology’s 2023 IT salary report. Recruiting in the tech industry remains strong, according to the report.

LAN 358

LAN Systems Administration How To WAN 358

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. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

CIO

JUNE 6, 2023

The shortage of data science skills continues to frustrate organizations in their quest to become more data driven. CIO.com’s 2023 State of the CIO research found that data science/analytics is one of the top three tech-related skills CIOs are trying to hire – and 22% said it’s one of the three most difficult to fill.

Data 130

Data Analytics Government Culture 130

Cloudera

JUNE 7, 2022

Also, Cloudera DataFlow is rated highly in the GigaOm Radar for Streaming Data Platforms. Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. Where data flows, ideas follow. Today, we are leading the way in hybrid data.

Data 110

Data Architecture Analytics Government 110

Cloudera

DECEMBER 13, 2023

He is responsible for introducing common tools and processes and enhancing the technology, tools and data available to employees, empowering them to use their expertise and creativity in innovative ways. LGIM’s data ecosystem had become fragmented over time as it had grown. Please read the full story here.

CTO 89

CTO Scalability Architecture Analytics 89

Apiumhub

FEBRUARY 6, 2023

In this event, hundreds of innovative minds, enterprise practitioners, technology providers, startup founders, and innovators come together to discuss ideas on data science, big data, ML, AI, data management, data engineering, IoT, and analytics. Feel free to check out the whole list of speakers here.

Innovation 83

Innovation Data Machine Learning Artificial Inteligence 83

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes. Iterations of the lakehouse.

Data 92

Data Analytics Open Source Architecture 92

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). And there’s a labor shortage in those industries so [the focus is on] more automation and more AI.” It’s all about uptime and input.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

CTOvision

MAY 1, 2014

We are developing innovative software in big data analytics, predictive modeling, simulation, machine learning and automation. This is a green-fields development position for a passionate and experienced engineer. A strong emphasis on data validation, testing, getting it right and knowing it stays right. Qualifications.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

TechCrunch

MAY 18, 2022

. “Coming from engineering and machine learning backgrounds, [Heartex’s founding team] knew what value machine learning and AI can bring to the organization,” Malyuk told TechCrunch via email. This helps to monitor label quality and — ideally — to fix problems before they impact training data. ”

Open Source 203

Open Source Weak Development Team Artificial Inteligence Data 203

Apiumhub

AUGUST 12, 2021

Happy to announce that you may find Apiumhub among top IT industry leaders in Code Europe event. Code Europe serves as a platform for the exchange of best practices and experiences between enthusiasts and world-class experts of the new technology industry. Save the date! About Code Europe event. Twitter: ??

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Cloudera

JULY 27, 2021

I’m thrilled to report that Cloudera today announced its membership of the TM Forum , the leading industry standards and collaboration group for the telecommunications industry. When it comes to Data and AI, the industry is increasingly committed to a hybrid cloud approach.

Telecommunications 62

Telecommunications Data Architecture Big Data 62

Cloudera

NOVEMBER 1, 2022

These systems also pose security risks, including the inability to use current security best practices, such as data encryption and multi-factor authentication, making these systems particularly vulnerable to malicious cyber activity. It’s here where the private cloud delivers.

Cloud 86

Cloud Government Storage Analytics 86

Apiumhub

JUNE 22, 2021

We are super excited to participate in the biggest and the most influential Data, AI and Advanced Analytics event in the Nordics! Data Innovation Summit ! There our Gema Parreño – Data Science expert at Apiumhub gives a talk about Alignment of Language Agents for serious video games.

Innovation 84

Innovation Data Technical Review Artificial Inteligence 84

Agile Engine

SEPTEMBER 29, 2023

Explore Data Studio projects and expertise in-depth Learn more Business challenge: addressing subscriber churn in the video streaming industry The client engaging our ML and data engineers is a premium streaming video on demand (SVOD) network top-listed by CNET in 2023.

Video 52

Video Machine Learning Artificial Inteligence Automotive 52

Trigent

AUGUST 26, 2022

It partners with clients across their value chain and guides the clients to design, create, deliver, and maintain their products & services that bring their best in the industry.

Software Review 52

Software Review Software Technical Review Artificial Intelligence 52

Mobilunity

MAY 8, 2023

Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise. Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Scalability.

Engineering 52

Engineering Data Storage AWS 52

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

Altexsoft

MAY 27, 2020

But, in any case, the pipeline would provide data engineers with means of managing data for training, orchestrating models, and managing them on production. Machine learning production pipeline architecture. Here we’ll look at the common architecture and the flow of such a system. Source: retentionscience.com.

Machine Learning 89

Machine Learning Artificial Inteligence Architecture Training 89

O'Reilly Media - Data

APRIL 3, 2018

The growing role of data and machine learning cuts across domains and industries. Companies continue to use data to improve decision-making (business intelligence and analytics) and for automation (machine learning and AI). In most cases, data needs to be refined and prepared before it’s ready for analytic applications.

Machine Learning 155

Machine Learning Artificial Inteligence Company Case Study 155

Confluent

FEBRUARY 6, 2019

It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Altexsoft

JUNE 29, 2021

MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists. Who does what in a data science team. Machine learning engineers are relatively new to data-driven companies.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Cloudera

JANUARY 15, 2021

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. As depicted in the chart, Cloudera Data Warehouse ran the benchmark with significantly better price-performance than any of the other competitors tested. Introduction.

Performance 94

Performance Cloud Data Storage 94

Altexsoft

APRIL 13, 2023

The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). It also often includes analytics, reporting, and forecasting capabilities.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Cloudera

SEPTEMBER 10, 2021

Now, the agency is turning a corner on putting its mass quantities of data to work, collaborating with enterprise data engineers in industry to utilize those data troves to better protect taxpayers. Pairing High-Tech Keys to Unlock the Power of Data.

Artificial Inteligence 67

Artificial Inteligence Machine Learning Artificial Intelligence Engineering 67

CIO

OCTOBER 18, 2023

Putting data to work to improve health outcomes “Predicting IDH in hemodialysis patients is challenging due to the numerous patient- and treatment-related factors that affect IDH risk,” says Pete Waguespack, director of data and analytics architecture and engineering for Fresenius Medical Care North America.

Artificial Inteligence 334

Artificial Inteligence Analytics Artificial Intelligence Machine Learning 334

O'Reilly Media - Data

JULY 18, 2018

My goal was to remind the data community about the many interesting opportunities and challenges in data itself. Because large deep learning architectures are quite data hungry, the importance of data has grown even more. Economic value of data. Related resources: “Building a stronger data ecosystem”.

Machine Learning 137

Machine Learning Artificial Inteligence Data Marketing 137

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Temporal data and time-series analytics.

Big Data 87

Big Data Technology Tools Cloud 87

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. 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.

Analytics 20

Analytics Data IoT Analysis 20

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 120

Artificial Inteligence Generative AI Security Applications 120

Cloudera

AUGUST 31, 2021

Data warehousing is the backbone of every data driven organization , providing mission critical analytics. Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Copyright © 2021 Accenture. All rights reserved.

Data 81

Data Analytics Cloud Technical Review 81

CIO

APRIL 4, 2023

Already, we see its impact across industries and applications. In order to move AI forward, we need to first build and fortify the foundational layer: data architecture. This architecture is important because, to reap the full benefits of AI, it must be built to scale across an enterprise versus individual AI applications.

Architecture 130

Architecture Data Analysis Construction 130

TIBCO - Connected Intelligence

DECEMBER 11, 2020

Home to world-leading industrial firms such as ASEA/ABB, Jotun, and Volvo; leading energy firm Equinor; and world-class innovators such as Ericsson, Nokia, Novo Nordisk, and Spotify, the region is incredibly prosperous. “We As an example, in 2013 we helped one of our customers move all event-based integrations and analytics to the cloud.

Business Transformation 52

Business Transformation Data Analytics Hotels 52