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 331

Security Airlines Data Center Compliance 331

Cloudera

JUNE 13, 2023

In 2021, ANZ Bank unveiled its strategy to drive digital transformation, increase their speed to market and become more agile. The EBD platform supports more than 10 internal and customer-facing groups with their Data Operations and Data Discovery requirements.

Analytics 76

Analytics Data Banking Big Data 76

CIO

APRIL 12, 2023

By George Trujillo, Principal Data Strategist, DataStax I recently had a conversation with a senior executive who had just landed at a new organization. He had been trying to gather new data insights but was frustrated at how long it was taking. Real-time AI involves processing data for making decisions within a given time frame.

Artificial Inteligence 322

Artificial Inteligence Artificial Intelligence Machine Learning Agile 322

Cloudera

AUGUST 9, 2022

With all of the buzz around cloud computing, many companies have overlooked the importance of hybrid data. The truth is, the future of data architecture is all about hybrid. As a leader in hybrid data, Cloudera is positioned to help organizations take on the challenge of managing and analyzing data wherever it resides.

Architecture 87

Architecture Strategy Data Open Source 87

CIO

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

Artificial Inteligence 269

Artificial Inteligence Strategy Data Machine Learning 269

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. How do they bring all of that data together?

Data 203

Data Architecture Government Strategy 203

Xebia

JANUARY 19, 2023

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

CIO

DECEMBER 22, 2023

Skills: Skills for this role include knowledge of application architecture, automation, ITSM, governance, security, and leadership. Cloud software engineer Cloud software engineers are tasked with developing and maintaining software applications that run on cloud platforms, ensuring they are built to be scalable, reliable, and agile.

Cloud 293

Cloud Company Disaster Recovery Software Engineering 293

CIO

AUGUST 2, 2023

“The era of open borders for data is ending,” declared The New York Times in May 2022. 1 Meeting security, privacy, and compliance ( [link] regulations and protecting data access and integrity ( [link] ) aren’t the end of the data sovereignty journey. Limiting the flow of data can have concrete financial impacts.

Mobile 200

Mobile Data Technical Review Compliance 200

CIO

AUGUST 22, 2023

It is driven by changes in customer expectations, opportunities to evolve employee experiences, and building differentiating capabilities with data, analytics, and artificial intelligence — all of which have no clear end point, nor are exclusively technology-focused.

Technical Review 234

Technical Review Agile Artificial Intelligence Artificial Inteligence 234

TechCrunch

OCTOBER 27, 2022

Cinchy , a startup that provides a data management service for enterprise customers, today announced that it raised $14.5 “Data management remains an expensive chore, and a proliferation of apps producing an ever-increasing volume of data only adds to the challenge.

Data 202

Data Compliance Survey Banking 202

Apiumhub

MARCH 23, 2021

With the rapid advancement in technologies, companies are now in search of a better way to ensure that organizational data and information are kept safe and organized. The concept of Data lake architecture has recently become a hot topic. The concept of Data lake architecture has recently become a hot topic.

Architecture 52

Architecture Artificial Inteligence Data Machine Learning 52

InfoWorld

MAY 20, 2024

The executives recognized the importance of developing customer-facing applications, game-changing analytics capabilities, and more automated workflows. Let’s just say my team and I did a lot of teaching on agile development and nimble architectures. This was all before the days of cloud computing and devsecops.

Data Center 80

Data Center Games Agile Architecture 80

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

OCTOBER 5, 2023

Foundry’s CIO Tech Priorities 2023 found that IT leaders are investing in technologies that provide greater efficiencies, better security, and improved end-user experience, with most actively researching or piloting projects around artificial intelligence (AI) and machine learning, data analytics, automation, and IT/OT intelligence.

Technical Review 283

Technical Review Engineering Technology Applications 283

CIO

APRIL 2, 2024

Over the past decade, CIOs have invested significantly in digital transformation initiatives in an effort to improve customer experiences, build data analytics capabilities, and deliver productivity enhancements with automation. They should set expectations for their agile teams on simplifying end-user adoption.

Change Management 289

Change Management Technical Review Software Review SCRUM 289

CIO

OCTOBER 4, 2023

There’s also strong demand for non-certified security skills, with DevSecOps, security architecture and models, security testing, and threat detection/modelling/management attracting the highest pay premiums. AI skills more valuable than certifications There were a couple of stand-outs among those.

Security 306

Security Artificial Inteligence Generative AI Blockchain 306

CIO

FEBRUARY 27, 2024

On top of that, how do you build a resilient network that can protect your people, systems, and data from external threats? The platform powers network devices to help you deliver your business outcomes and provides the agility needed to address unforeseen use cases. The answer is the network platform.

Network 193

Network WAN Analytics Wireless 193

The Crazy Programmer

FEBRUARY 3, 2024

Investing in tailored clinical, administrative, and analytics solutions can drive efficiency, productivity, and patient care to new levels. Recent survey findings revealed clinicians spend nearly twice as much time on EHR data entry than direct patient care. This allows staff more face time with patients versus screens.

Healthcare 130

Healthcare Software Off-The-Shelf Compliance 130

CIO

AUGUST 8, 2023

By bringing compute power closer to the point of action, edge computing allows real-time data processing, analytics, and decision-making, thereby improving the well-being and efficiency of front-line workers. Traditional, centralized computing architectures cannot deliver the speed and reliability required for critical frontline tasks.

Industry 231

Industry Artificial Inteligence Artificial Intelligence Machine Learning 231

Cloudera

OCTOBER 30, 2023

The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives.

Analytics 74

Analytics Cloud Technical Review Resources 74

CIO

JUNE 28, 2023

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace.

Technical Review 207

Technical Review Analytics Innovation Artificial Intelligence 207

RapidValue

JUNE 26, 2020

For any organization, be it large or mid-scale, data is important for reviews and predictions and to analyze how effectively the business is running. Apart from generating reports out of daily transactional data, it is equally important that you take a deep dive and analyze the patterns in the historical data.

Analytics 72

Analytics Cloud Technical Review Data 72

Cloudera

APRIL 20, 2021

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases.

Analytics 91

Analytics Retail Architecture Government 91

TechCrunch

JUNE 1, 2022

We’ve long documented the challenges that DevOps and operations teams in specific areas like security face these days when it comes to data observability: a wide range of services across the landscape of an organization’s network translates into many streams of data that they need to track for performance, security and other reasons.

Analytics 246

Analytics DevOps Storage Business Intelligence 246

CIO

MARCH 11, 2024

These include security and data privacy concerns, low-quality data, reputational risks, and immature technology, to name a few. The problem is complicated here by the following factors : Business analysts have neither a technical background nor an understanding of IT architecture. A combination of factors led to this failure.

Software Review 202

Software Review Technical Review Software Weak Development Team 202

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. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour. Where does it stand today?

Analytics 90

Analytics Network Innovation IoT 90

CIO

DECEMBER 22, 2023

His responsibilities now range from encompassing technology architecture and operational stability, to security, cost management, partnership oversight, and domain-specific deliveries, among others. The arteries of the entire bank are pumping data and events all the time, and you have services that are listening to all these events.

Banking 223

Banking Architecture Microservices Conference 223

TechCrunch

OCTOBER 18, 2021

Organizations that have made the leap into using big data to drive their business are increasingly looking for better, more efficient ways to share data with others without compromising privacy and data protection laws, and that is ushering in a rush of technologists building a number of new approaches to fill that need.

Enterprise 340

Enterprise Data Blockchain Healthcare 340

Cloudera

DECEMBER 6, 2021

It takes vision, purpose, and skill to unlock the power of data. All three organizations have partnered with Cloudera, leveraging a hybrid or cloud-based architecture to improve the lives of the people who depend on their organizations’ data. ExxonMobil has accumulated 100 years’ worth of data in millions of digital records.

Architecture 79

Architecture Cloud Data Chemicals 79

Cloudera

SEPTEMBER 26, 2023

Organizations increasingly rely on streaming data sources not only to bring data into the enterprise but also to perform streaming analytics that accelerate the process of being able to get value from the data early in its lifecycle.

Technology 89

Technology Data Architecture Open Source 89

CIO

AUGUST 9, 2023

In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. Organizations need massive amounts of data to build and train generative AI models. In turn, these models will also generate reams of data that elevate organizational insights and productivity. But more data means more data movement.

Generative AI 212

Generative AI Storage Scalability Artificial Intelligence 212

CIO

OCTOBER 24, 2023

Business drivers for the first wave of digital transformation through 2020 targeted growth, data capabilities, cloud migration, and delivering competitive technology capabilities. Gartner’s data suggests that, without executive partnership, as many as 88% of CIOs are primed to fall short.

Technical Advisors 356

Technical Advisors Technical Review Artificial Inteligence Generative AI 356

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. . In summary, predicting future supply chain demands using last year’s data, just doesn’t work.

Analytics 107

Analytics Open Source Government Machine Learning 107

CIO

OCTOBER 23, 2023

With the paradigm shift from the on-premises data center to a decentralized edge infrastructure, companies are on a journey to build more flexible, scalable, distributed IT architectures, and they need experienced technology partners to support the transition.

Sustainability 283

Sustainability Data Center Technical Review Energy 283

Data Virtualization

DECEMBER 15, 2022

Reading Time: 3 minutes One of the biggest challenges for organizations is to integrate data from various sources. Despite modern advancements such as big data technologies and cloud, data often ends up in organized silos, but this means that cloud data is separated from.

Virtualization 52

Virtualization Agile Infrastructure Data 52

CIO

OCTOBER 1, 2022

His remarks came during an episode of Google Cloud’s podcast series “The Principles of a Cloud Data Strategy.”. So it’s at this point that organizations start to really feel the burden of learning, maintaining and trying to figure out how to integrate the data between a growing set of technologies. Cloud Architecture, Databases

Google Cloud 181

Google Cloud Analytics Mobile Innovation 181