CIO

JANUARY 30, 2025

As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. Unlike traditional masking methods, their solution ensures that the data remains usable for testing, analytics, and development without exposing the actual values.

Scalability 169

Scalability Government Trends Artificial Inteligence 169

CIO

OCTOBER 29, 2024

The topics of technical debt recognition and technology modernization have become more important as the pace of technology change – first driven by social, mobile, analytics, and cloud (SMAC) and now driven by artificial intelligence (AI) – increases. Which are not longer an architectural fit? Which are obsolete?

Technology 166

Technology Operating System Agile Hardware 166

CIO

DECEMBER 5, 2024

In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. When evaluating options, prioritize platforms that facilitate data democratization through low-code or no-code architectures. Selecting the right data distillery requires consideration.

Enterprise 158

Enterprise Data Insurance Business Intelligence 158

Xebia

JUNE 3, 2021

Talking about the added value of applying Agile Architecture in your organization, we see fewer and fewer “IT architects” in organizations. Do we need Agile Architects or do we need to do Agile Architecture? In fact, nowadays, Architecture has shifted from a job title to a role.

Architecture 130

Architecture Agile Organization Technical Review 130

CIO

MARCH 26, 2025

CIOs own the gold mine of data Leverage analytics to turn your insights into financial intelligence, thus making tech a profit enabler. Evaluate ROI and substantiate it with relevance, optimization and impact Utilize your tech investments to deliver financial and operational agility.

Real Estate 155

Real Estate Leadership Study Innovation 155

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. DataOps goals According to Dataversity , the goal of DataOps is to streamline the design, development, and maintenance of applications based on data and data analytics. What is DataOps?

Analytics 195

Analytics Data Engineering Artificial Inteligence Machine Learning 195

CIO

APRIL 2, 2025

In 2008, SAP developed the SAP HANA architecture in collaboration with the Hasso Plattner Institute and Stanford University with the goal of analyzing large amounts of data in real-time. The entire architecture of S/4HANA is tightly integrated and coordinated from a software perspective. In 2010, SAP introduced the HANA database.

System 168

System Architecture Cloud Tourism 168

CIO

JANUARY 20, 2023

Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need. Yet many are struggling to move into production because they don’t have the right foundational technologies to support AI and advanced analytics workloads. Some are relying on outmoded legacy hardware systems.

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

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 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

CIO

JANUARY 24, 2024

My position was created to be the single accountable executive for innovation, digital technologies, AI, analytics, cybersecurity and IT,” she says. “In Targets for investment The team is investing in analytics and AI with large language mode experiments to help project teams find relevant information to perform well in their roles. “In

Architecture 178

Architecture Construction Real Estate Recruiting 178

Luis Goncalves

APRIL 11, 2025

This requires specific approaches to product development, architecture, and delivery processes. Agility: Adapting to Market Changes The ability to pivot quickly in response to market feedback is critical when scaling startups. Companies maintaining agility during scaling can seize opportunities rigid organizations miss.

Weak Development Team 165

Weak Development Team Technical Review Sustainability Systems Review 165

CIO

NOVEMBER 26, 2024

These outdated systems are not only costly to maintain but also hinder the integration of new technologies, agility, and business value delivery. It adopted a microservices architecture to decouple legacy components, allowing for incremental updates without disrupting the entire system.

Weak Development Team 183

Weak Development Team Compliance Budget Culture 183

CIO

JUNE 24, 2024

Without the right cloud architecture, enterprises can be crushed under a mass of operational disruption that impedes their digital transformation. What’s getting in the way of transformation journeys for enterprises? This isn’t a matter of demonstrating greater organizational resilience or patience.

Architecture 164

Architecture Innovation Enterprise Cloud 164

CIO

MARCH 26, 2025

We need to re-establish the IT architecture and get an architectural capability, he adds. So IT architects need to get as close to business development as possible in order to shape the target architecture in line with the business plan. My experience is its very difficult to make Agile work in traditional companies, he says.

Weak Development Team 76

Weak Development Team Agile Systems Review Architecture 76

TechCrunch

DECEMBER 10, 2021

and analytical background related to data,” as well as the consulting expertise for startups that he provides. Furthermore, we both had seen firsthand how terrifyingly crippling waterfall and broken agile could be for the progress of a project. Why do you think architecture design advice is important?

Weak Development Team 255

Weak Development Team Software Development Software Review Fractional CTO 255

TechCrunch

JUNE 1, 2022

We are confident that Coralogix’s unique data streaming architecture and analytics pipeline will continue to transform the category through its ability to provide superior monitoring coverage, insights, and results while yielding significant cost savings.

Analytics 246

Analytics DevOps Storage Business Intelligence 246

CIO

MARCH 26, 2025

Namrita offers a useful insight In todays boardrooms, digital tools like AI, IoT, automation, and predictive analytics are dominating technology conversations, creating new avenues for value by heralding new, disruptive business models. Namrita prioritizes agility as a virtue.

CTO Coach 99

CTO Coach Technical Advisors IoT Sustainability 99

CIO

APRIL 1, 2025

Using Zero Trust Architecture (ZTA), we rely on continuous authentication, least privilege access, and micro-segmentation to limit data exposure. Error-filled, incomplete or junk data can make costly analytics efforts unusable for organizations. In (clean) data we trust While data is invaluable, all data is not created equal.

Data 88

Data Authentication Compliance Artificial Inteligence 88

CIO

MARCH 13, 2025

Hes seeing the need for professionals who can not only navigate the technology itself, but also manage increasing complexities around its surrounding architectures, data sets, infrastructure, applications, and overall security. The talent shortage is particularly acute in two key areas, says Arun Chandrasekaran at Gartner.

Part-Time VPE 205

Part-Time VPE Weak Development Team Fractional VPE Fractional CTO 205

Cloudera

JANUARY 7, 2025

This will allow companies to deploy workloads in environments where they are best placed, balancing on-prem and cloud advantages to maintain agility and meet evolving business demands. A leading meal kit provider migrated its data architecture to Cloudera on AWS, utilizing Cloudera’s Open Data Lakehouse capabilities.

Cloud 82

Cloud Data Scalability Compliance 82

OTS Solutions

DECEMBER 4, 2023

Private cloud architecture is an increasingly popular approach to cloud computing that offers organizations greater control, security, and customization over their cloud infrastructure. What is Private Cloud Architecture? Why is Private Cloud Architecture important for Businesses?

Architecture 130

Architecture Cloud Disaster Recovery Scalability 130

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. A unified data ecosystem enables this in real time.

Artificial Inteligence 218

Artificial Inteligence Artificial Intelligence Machine Learning Agile 218

Cloudera

AUGUST 17, 2022

What if you could access all your data and execute all your analytics in one workflow, quickly with only a small IT team? CDP One is a new service from Cloudera that is the first data lakehouse SaaS offering with cloud compute, cloud storage, machine learning (ML), streaming analytics, and enterprise grade security built-in.

Analytics 116

Analytics Artificial Inteligence Machine Learning Policies 116

CIO

AUGUST 3, 2022

In today’s data economy, in which software and analytics have emerged as the key drivers of business, CEOs must rethink the silos and hierarchies that fueled the businesses of the past. Wafaa Mamilli, chief information and digital officer of global animal health business Zoetis describes it well: “A platform model is more than architecture.

IoT 218

IoT SDLC Leadership Artificial Inteligence 218

CIO

OCTOBER 13, 2022

Furthermore, the integrated view of company data in web-enabled architecture has improved information sharing, collaboration across functional and corporate boundaries, and decision making for the management using advanced analytics based on a single view of data.

Disaster Recovery 145

Disaster Recovery Agile Architecture Infrastructure 145

Cloudera

MAY 28, 2024

It’s not enough for businesses to implement and maintain a data architecture. The unpredictability of market shifts and the evolving use of new technologies means businesses need more data they can trust than ever to stay agile and make the right decisions.

Architecture 88

Architecture Data Analytics Government 88

CIO

OCTOBER 17, 2023

We’ve all heard this mantra: “Secure digital transformation requires a true zero trust architecture.” Its advanced zero trust architecture minimizes the attack surface by hiding applications behind the Zscaler security cloud. Zscaler’s zero trust architecture for building a security service edge (SSE) ecosystem is second to none.”

Security 214

Security Airlines Data Center Internet 214

Dzone - DevOps

MARCH 18, 2024

Incorporating AI into API and microservice architecture design for the Cloud can bring numerous benefits. Predictive analytics : AI can leverage historical data to predict usage trends, identify potential bottlenecks, and offer proactive solutions for enhancing the scalability and reliability of APIs and microservices.

Microservices 96

Microservices Architecture Load Balancer Cloud 96

Cloudera

JULY 11, 2022

What used to be bespoke and complex enterprise data integration has evolved into a modern data architecture that orchestrates all the disparate data sources intelligently and securely, even in a self-service manner: a data fabric. Data fabrics are one of the more mature modern data architectures. Next steps.

Architecture 107

Architecture Data Government Scalability 107

Cloudera

APRIL 20, 2021

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. Streaming Analytics can be used in many industries: Healthcare: Monitoring hospital patients to get the latest and most actionable data to inform patient interactions better.

Analytics 95

Analytics Retail Architecture Government 95

AWS Machine Learning - AI

MARCH 20, 2025

Use cases for Amazon Bedrock Data Automation Key use cases such as intelligent document processing , media asset analysis and monetization , speech analytics , search and discovery, and agent-driven operations highlight how Amazon Bedrock Data Automation enhances innovation, efficiency, and data-driven decision-making across industries.

Data 98

Data Generative AI Artificial Inteligence Compliance 98

Cloudera

AUGUST 3, 2021

Toyota weathered the early chip shortage well with agile and robust supply chains, only to be caught with final assembly production shortages due to consumers rushing to their once robust availability. . Advanced analytics empower risk reduction . Improve Visibility within Supply Chains. Open source solutions reduce risk.

Analytics 111

Analytics Open Source Government Artificial Inteligence 111

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect.

Analytics 96

Analytics Network Innovation IoT 96

Cloudera

MAY 3, 2021

Cloudera sees success in terms of two very simple outputs or results – building enterprise agility and enterprise scalability. In the last five years, there has been a meaningful investment in both Edge hardware compute power and software analytical capabilities. Let’s start at the place where much of Industry’s 4.0

Scalability 103

Scalability Agile Data Systems Review 103

CIO

AUGUST 8, 2024

The process would start with an overhaul of large on-premises or on-cloud applications and platforms, focused on migrating everything to the latest tech architecture. About the author Rohit Kapoor is chairman and chief executive officer of EXL, a leading data analytics and digital operations and solutions company.

Generative AI 196

Generative AI Innovation Artificial Inteligence Business Transformation 196

CIO

NOVEMBER 29, 2022

By George Trujillo, Principal Data Strategist, DataStax Innovation is driven by the ease and agility of working with data. Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. Data and cloud strategy must align.

Organization 167

Organization Technical Review Data Artificial Inteligence 167

Cloudera

AUGUST 9, 2022

The truth is, the future of data architecture is all about hybrid. Hybrid data capabilities enable organizations to collect and store information on premises, in public or private clouds, and at the edge — without sacrificing the important analytics needed to turn that information into insight. Do we need more than one?

Architecture 92

Architecture Strategy Data Open Source 92