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. This role is vital for improving and maintaining IT and cloud infrastructure, ultimately boosting productivity in the business.

LAN 358

LAN Systems Administration How To WAN 358

CIO

FEBRUARY 13, 2023

Upgrading cloud infrastructure is critical for deploying broad AI initiatives more quickly, so that’s a key area where investments are being made this year. Fifty-two percent of organizations plan to increase or maintain their IT spending this year, according to Enterprise Strategy Group.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

Cloudera

OCTOBER 5, 2020

Cloudera Data Platform Powered by NVIDIA RAPIDS Software Aims to Dramatically Increase Performance of the Data Lifecycle Across Public and Private Clouds. This exciting initiative is built on our shared vision to make data-driven decision-making a reality for every business. Compared to previous CPU-based architectures, CDP 7.1

Enterprise 88

Enterprise Cloud Data Machine Learning 88

TechCrunch

FEBRUARY 2, 2022

But, as RudderStack CEO Soumyadeb Mitra argued when I talked to him ahead of today’s announcement, most of the existing customer data pipeline solutions were built for selling to marketing teams, using architectures that make it harder to build the advanced applications that businesses are now looking for.

Data 204

Data Machine Learning Artificial Inteligence Architecture 204

Altexsoft

FEBRUARY 11, 2023

A data architect is an IT professional responsible for the design, implementation, and maintenance of the data infrastructure inside an organization. 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

CIO

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. It isn’t easy.

Artificial Inteligence 363

Artificial Inteligence Artificial Intelligence Machine Learning Agile 363

TechCrunch

MAY 26, 2022

“To enable large data modernization and transformation projects, data lineage is a key component to solving the complexity of vast data infrastructure layers and tracking the flow of data within an organization.” ” Kratky said.

Data 228

Data Weak Development Team Enterprise Analysis 228

CIO

FEBRUARY 14, 2023

Organizations have balanced competing needs to make more efficient data-driven decisions and to build the technical infrastructure to support that goal. This can only be achieved if the underlying data infrastructure is unified, robust, and efficient. Every machine learning model is underpinned by data.

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

TechCrunch

JANUARY 26, 2022

The opportunity that Firebolt is targeting is a ripe one in the world of enterprise. Big data is at the heart of how a lot of applications, and a lot of business overall, works these days. Firebolt cites analysts that estimate the global cloud analytics market will be worth some $65 billion by 2025.

Analytics 218

Analytics Data Big Data Business Intelligence 218

CIO

NOVEMBER 9, 2022

Given the ongoing gap between the demand for experienced data analysts and the supply of these professionals — and the desire to quickly get valuable business insights into the hands of the users who need it most — it’s easy to see why enterprises would find self-service analytics appealing. That’s a great place to start.”

Analytics 342

Analytics Metrics Government Business Intelligence 342

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

SEPTEMBER 2, 2022

Full-stack software engineers are essentially high-level software engineers who are focused on designing, testing, and implementing software applications. Job duties include helping plan software projects, designing software system architecture, and designing and deploying web services, applications, and APIs. Data engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

Full-stack software engineers are essentially high-level software engineers who are focused on designing, testing, and implementing software applications. Job duties include helping plan software projects, designing software system architecture, and designing and deploying web services, applications, and APIs. Data engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Cloudera

FEBRUARY 1, 2024

The other half of the equation requires your team’s emphasis to shift to sustained excellence in managing and optimizing your data ecosystem — better known as Day 2 operations. In this blog, we’ll cover the highlights of our recently published Day 2 Operations Guide and why it matters to enterprises.

Backup 82

Backup Cloud Architecture Resources 82

CTOvision

MAY 1, 2014

Senior Software Engineer – Big Data. IO is the global leader in software-defined data centers. IO has pioneered the next-generation of data center infrastructure technology and Intelligent Control, which lowers the total cost of data center ownership for enterprises, governments, and service providers.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

RapidValue

JULY 21, 2019

From DevOps to DataOps DataOps can be simply stated as “DevOps for data”. It is a set of practices and technologies that integrate the development and operation of data movement architectures into a continuous process. DataOps aids data practitioners to continuously deliver quality data to applications and business processes.

Business Transformation 65

Business Transformation Enterprise DevOps Analytics 65

Mobilunity

MAY 8, 2023

An Enterprise Data Lake is a large, centralized repository that stores structured and unstructured data at scale. It is designed to store vast amounts of data from a variety of sources. Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise.

Engineering 52

Engineering Data Storage AWS 52

Mentormate

JANUARY 11, 2022

With hundreds of active clients and projects each year, MentorMate is in an excellent position to share our perspective on what’s happening across different industries, technology stacks, and business environments from startup to enterprise. Only the largest engineering organizations have the scale to make this kind of continuous investment.

Technical Review 98

Technical Review Trends Off-The-Shelf Software Review 98

Trigent

AUGUST 26, 2022

The company holds decades of technical experience, immense knowledge of different domains, and technology expertise to deliver transformation solutions for small, medium, and large-level enterprises. Transform your business with Trigent Software. Transform your business with Trigent Software.

Software Review 52

Software Review Software Technical Review Artificial Intelligence 52

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. AWS is architected to be the most secure global cloud infrastructure on which to build, migrate, and manage applications and workloads.

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

Cloudera

JULY 27, 2021

While billing used to be one of two critical things for any successful telco (the other being the network), today’s digital service providers prioritise channels, ecosystems, payments and cloud service architectures in enterprise architecture. Edge analytics by definition require in-network deployment.

Telecommunications 60

Telecommunications Data Architecture Big Data 60

O'Reilly Media - Data

APRIL 3, 2018

Data Science and Machine Learning sessions will cover tools, techniques, and case studies. This year, we have many sessions on managing and deploying models to production, and applications of deep learning in enterprise applications. Unlocking popular data types: Text, temporal data, and graphs. Privacy and security.

Machine Learning 154

Machine Learning Artificial Inteligence Company Case Study 154

Cloudera

JUNE 7, 2022

Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. The same study also revealed that 89% of IT decision makers agree that organizations that implement a hybrid architecture as part of its data strategy will gain a competitive advantage.

Data 108

Data Architecture Analytics Government 108

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

Apiumhub

JUNE 22, 2021

Data Innovation Summit topics. Same as last year, the event offers six workshops (crash-course) themes, each dedicated to a unique domain area: Data-driven Strategy, Analytics & Visualisation, Machine Learning, IoT Analytics & Data Management, Data Management and Data Engineering.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. After all, machine learning with Python requires the use of algorithms that allow computer programs to constantly learn, but building that infrastructure is several levels higher in complexity. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

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 66

Artificial Inteligence Machine Learning Artificial Intelligence Engineering 66

Lacework

NOVEMBER 1, 2023

This article addresses privacy in the context of hosting data and considers how privacy by design can be incorporated into the data architecture. In the first article in this series, the topic of privacy by design is covered in some detail, particularly regarding the design of products for enterprise security and data hosting.

System Design 52

System Design Systems Review System Data 52

O'Reilly Media - Ideas

JULY 1, 2019

One area I’m particularly interested in is the application of AI and automation technologies in data science, data engineering, and software development. For a typical data scientist, data engineer, or developer, there is an explosion of tools and APIs they now need to work with and “master.”

Software Development 60

Software Development Artificial Inteligence Software Machine Learning 60

CIO

APRIL 4, 2023

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. Constructing the right data architecture cannot be bypassed.

Architecture 130

Architecture Data Analysis Construction 130

O'Reilly Media - Ideas

FEBRUARY 11, 2019

In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. AI and machine learning in the enterprise. AI and machine learning in the enterprise. Temporal data and time-series analytics. Deep Learning. Security and privacy.

Big Data 84

Big Data Technology Tools Cloud 84

Hu's Place - HitachiVantara

JANUARY 3, 2019

In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Altexsoft

AUGUST 25, 2020

Big data fosters the development of new tools for transporting, storing, and analyzing vast amounts of unstructured data. Prominent enterprises in numerous sectors including sales, marketing, research, and healthcare are actively collecting big data. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

TIBCO - Connected Intelligence

DECEMBER 11, 2020

We have been working with TIBCO for over 18 years, initially focused on enterprise application integration, service-oriented architecture, events, messaging, and other capabilities that optimize our client’s operations. I would say, in general, that Nordics organizations have moved quickly to adopt data-driven business transformation.

Business Transformation 52

Business Transformation Data Analytics Hotels 52

Cloudera

AUGUST 31, 2021

It outperforms other data warehouses on all sizes and types of data, including structured and unstructured, while scaling cost-effectively past petabytes. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. Business Problem & Background.

Data 82

Data Analytics Cloud Technical Review 82

Kentik

JANUARY 3, 2018

Whether financial, healthcare, energy, manufacturing, or web enterprises, across all industries, a common goal is digitizing the organization as fast as possible. IoT infrastructure represents a broad diversity of technology. This has the potential to disrupt infrastructure as already seen in widely publicized IoT-based DDoS attacks.

IoT 40

IoT Network Tools Big Data 40

O'Reilly Media - Ideas

JUNE 4, 2019

Spotlight on Data: Data Storytelling with Mico Yuk , July 15. Product Management for Enterprise Software , July 18. Introducing Infrastructure as Code with Terraform , June 20. Azure Architecture: Best Practices , June 28. Microservices Architecture and Design , July 8-9. Thinking Like a Manager , July 10.

Course 64

Course Training Artificial Inteligence Software Review 64