AWS Machine Learning - AI

MARCH 13, 2025

MaestroQA also offers a logic/keyword-based rules engine for classifying customer interactions based on other factors such as timing or process steps including metrics like Average Handle Time (AHT), compliance or process checks, and SLA adherence. The following architecture diagram demonstrates the request flow for AskAI.

Generative AI 96

Generative AI CTO Coach AWS Artificial Inteligence 96

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Introduction to the Data Mesh Architecture and its Required Capabilities.

Architecture 124

Architecture Data Security Technical Review 124

Netflix Tech

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

Data Engineering 82

Data Engineering Engineering Data Generative AI 82

Perficient

FEBRUARY 13, 2025

Breaking down silos has been a drumbeat of data professionals since Hadoop, but this SAP <-> Databricks initiative may help to solve one of the more intractable data engineering problems out there. SAP has a large, critical data footprint in many large enterprises. However, SAP has an opaque data model.

Government 64

Government Open Source Machine Learning Artificial Inteligence 64

Cloudera

OCTOBER 11, 2021

Modak, a leading provider of modern data engineering solutions, is now a certified solution partner with Cloudera. Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu.

Data Engineering 95

Data Engineering Engineering Data Cloud 95

CIO

APRIL 27, 2023

There’s an ever-growing need for technical pros who can handle the rapid pace of technology, ensuring businesses keep up with industry standards, compliance regulations, and emerging or disruptive technologies. The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management.

Technical Review 174

Technical Review Software Review Systems Review Software Engineering 174

CIO

JANUARY 6, 2023

But 86% of technology managers also said that it’s challenging to find skilled professionals in software and applications development, technology process automation, and cloud architecture and operations. Companies will have to be more competitive than ever to land the right talent in these high-demand areas.

LAN 215

LAN How To Systems Administration Software Engineering 215

CIO

MAY 30, 2024

The course covers principles of generative AI, data acquisition and preprocessing, neural network architectures, natural language processing, image and video generation, audio synthesis, and creative AI applications. Upon completing the learning modules, you will need to pass a chartered exam to earn the CGAI designation.

Generative AI 206

Generative AI Artificial Inteligence Programming Azure 206

CIO

JUNE 19, 2024

They may also ensure consistency in terms of processes, architecture, security, and technical governance. Our platform engineering teams, which support more than 200 applications, have innovated around automation,” says Bob Simms, former director of enterprise infrastructure delivery at the US Patent and Trademark Office (USPTO).

Weak Development Team 208

Weak Development Team Engineering UI/UX Software Development 208

Cloudera

AUGUST 30, 2022

Data quality issues deter trust and hinder accurate analytics. Disparate systems create issues with transparency and compliance. Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs).

Architecture 79

Architecture Data Artificial Inteligence Artificial Intelligence 79

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

CIO

OCTOBER 20, 2023

It was established in 1978 and certifies your ability to report on compliance procedures, how well you can assess vulnerabilities, and your knowledge of every stage in the auditing process. Microsoft also offers certifications focused on fundamentals, specific job roles, or specialty use cases.

SCRUM 206

SCRUM Azure AWS Agile 206

CIO

AUGUST 7, 2023

While the changes to the tech stack are minimal when simply accessing gen AI services, CIOs will need to be ready to manage substantial adjustments to the tech architecture and to upgrade data architecture. Shapers want to develop proprietary capabilities and have higher security or compliance needs.

Generative AI 147

Generative AI Off-The-Shelf Architecture Infrastructure 147

Capgemini

NOVEMBER 21, 2024

Snowflake and Capgemini powering data and AI at scale Capgemini October 13, 2020 Organizations slowed by legacy information architectures are modernizing their data and BI estates to achieve significant incremental value with relatively small capital investments. This evolution is also being driven by many industry factors.

Data 52

Data Government Innovation Architecture 52

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. Now users can write their own scripts and run them over the data,” he explains. .

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 88

Insurance Compliance Technical Review Banking 88

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Data 76

Data Compliance Architecture Data Engineering 76

Altexsoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

Altexsoft

JANUARY 14, 2021

We’ll review all the important aspects of their architecture, deployment, and performance so you can make an informed decision. Before jumping into the comparison of available products right away, it will be a good idea to get acquainted with the data warehousing basics first. Data warehouse architecture.

Backup 115

Backup Azure Software Review Architecture 115

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). But the current data lakehouse architectural pattern is not enough.

Data 88

Data Analytics Artificial Inteligence Machine Learning 88

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two. What data mesh IS.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Traditional data warehouse platform architecture. Data lake architecture example.

Architecture 52

Architecture Data Artificial Inteligence Machine Learning 52

Altexsoft

MARCH 18, 2021

Transformations may include: data sorting and filtering to get rid of irrelevant items, de-duplicating and cleansing, translating and converting, removing or encrypting to protect sensitive information, splitting or joining tables, etc. These are data engineers who are responsible for implementing these processes. Compliance.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

Cloudera

JUNE 14, 2021

How to optimize an enterprise data architecture with private cloud and multiple public cloud options? Within five years of launching, almost every mobile operator in the world had moved to a hybrid network architecture. SDX is a fundamental and integral part of Cloudera Data Platform architecture.

Telecommunications 97

Telecommunications Cloud Data Virtualization 97

Mentormate

JANUARY 11, 2022

Only the largest engineering organizations have the scale to make this kind of continuous investment. Human-Centered Design, Composable Architectures, and Citizen Builders. One important note — building a blended solution of managed services and custom code takes good enterprise architectural oversight. The Rise of Data.

Technical Review 98

Technical Review Trends Off-The-Shelf Software Review 98

TIBCO - Connected Intelligence

DECEMBER 7, 2021

While data-driven organizations have more information to work with than ever before, this also means dealing with more data sources, siloed data , complexity in data integration and data access, and growing data compliance mandates. Animal, Vegetable, or Architecture?

Architecture 49

Architecture Data Government Agile 49

Altexsoft

AUGUST 29, 2023

Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. This article explains what a data lake is, its architecture, and diverse use cases. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

Cloudera

NOVEMBER 1, 2022

But supply chain visibility into the millions (or billions) of parts that comprise the hundreds or thousands of devices and weapons systems that make up our military infrastructure is critical to maintaining battle readiness and regulatory compliance. It’s here where the private cloud delivers.

Cloud 89

Cloud Government Analytics Storage 89

InfoQ Culture Methods

MAY 24, 2023

GDPR compliance should be a default feature in every application that handles PII (Personally Identifiable Information). Most organizations have an impression that GDPR is a luxury feature that needs special tools to implement.

Programming 114

Programming Compliance Applications Tools 114

AWS Machine Learning - AI

JUNE 21, 2024

Over 100 SOC analysts are now using AI Investigator models to analyze security data and provide rapid investigation conclusions. Solution overview eSentire customers expect rigorous security and privacy controls for their sensitive data, which requires an architecture that doesn’t share data with external large language model (LLM) providers.

Artificial Inteligence 108

Artificial Inteligence Generative AI AWS Serverless 108

Altexsoft

AUGUST 22, 2022

What’s more, Gartner identifies data fabric implementation as one of the top strategic technology trends for 2022 and expects that by 2024, data fabric deployments will increase the efficiency of data use while halving human-driven data management tasks. What is data fabric? Data fabric architecture example.

Architecture 52

Architecture Artificial Inteligence Technical Review Data 52

TIBCO - Connected Intelligence

AUGUST 10, 2020

Your data demands, like your data itself, are outpacing your data engineering methods and teams. You’ll discover that they all have identified data virtualization as a must-have addition to your data integration tooling and a critical enabler to a more modern, distributed data architecture.

Virtualization 69

Virtualization Data How To Data Engineering 69

Cloudera

OCTOBER 1, 2022

According to Gartner, by 2023 65% of the world’s population will have their personal data covered under modern privacy regulations. . As a result, growing global compliance and regulations for data are top of mind for enterprises that conduct business worldwide. People selling information. Infrastructure.

Government 75

Government Enterprise Artificial Inteligence Strategy 75

Cloudera

DECEMBER 21, 2020

Instead, it is a move towards recognizing those companies that are driving innovation and agility by modernizing their data architecture and optimizing their infrastructure to leverage invaluable insights. This year’s winner, the West Midlands Police, stood out with its groundbreaking data strategy that did both of these things.

Data 96

Data Enterprise Technical Review Cloud 96

Cloudera

FEBRUARY 11, 2019

To achieve their goals of digital transformation and becoming data-driven, companies need more than just a better data warehouse or BI tool. They need a range of analytical capabilities from data engineering to data warehousing to operational databases and data science. Governing for compliance.

Government 57

Government Compliance Artificial Inteligence Machine Learning 57

Cloudera

MARCH 22, 2022

Examples of those challenges for data and analytics platforms include: Limited cost synergies: Increased costs due to lack of integration between data and analytics solutions used by the combining organizations. That technology fragmentation introduces greater architectural complexity, increased maintenance and operational costs (e.g.,

Technical Review 80

Technical Review Strategy Data How To 80

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Data lineage, data catalog, and data governance solutions can increase usage of data systems by enhancing trustworthiness of data. Moving forward, tracking data provenance is going to be important for security, compliance, and for auditing and debugging ML systems. Data Platforms.

Big Data 108

Big Data Technology Tools Cloud 108