CIO

JUNE 9, 2023

Such is the case with a data management strategy. That gap is becoming increasingly apparent because of artificial intelligence’s (AI) dependence on effective data management. For many organizations, the real challenge is quantifying the ROI benefits of data management in terms of dollars and cents. The second best time is now.”

Strategy 289

Strategy Data Transportation Exercises 289

CIO

OCTOBER 25, 2022

Data & Analytics is delivering on its promise. Every day, it helps countless organizations do everything from measure their ESG impact to create new streams of revenue, and consequently, companies without strong data cultures or concrete plans to build one are feeling the pressure. We discourage that thinking.

Strategy 362

Strategy Data Culture IoT 362

CIO

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. The data engineer role.

Data Engineering 328

Data Engineering Analytics Engineering Data 328

CIO

JANUARY 4, 2024

In the fast-evolving world of finance, data security is of paramount importance. Financial institutions must ensure the protection of sensitive personal information, most commonly payment card data, to maintain, trust and meet various regulatory requirements.

Compliance 263

Compliance Architecture Resources Authentication 263

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

FEBRUARY 14, 2024

Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with. Data due diligence Generative AI especially has particular implications for data security, Mann says.

Artificial Inteligence 358

Artificial Inteligence Generative AI Software Review Development Team Review 358

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 290

Artificial Inteligence Strategy Data Machine Learning 290

Xebia

NOVEMBER 15, 2023

Encryption at rest is defined as the practice of encrypting data stored in any type of volume when not in transit. Cloud resources run in data centers, the same way on-premises resources do, but with a layer of sophistication to achieve abstraction and ease of usage for the customer. Isolation failure.

Cloud 130

Cloud Data Hardware Data Center 130

CIO

JANUARY 9, 2023

1] In each case, the company has volumes of streaming data and needs a way to quickly analyze it for outcomes such as greater asset availability, improved site safety and enhanced sustainability. In each case, they are taking strategic advantage of data generated at the edge, using artificial intelligence and cloud architecture.

IoT 317

IoT Technical Review Company Data 317

CIO

APRIL 26, 2024

billion acquisition of data and analytics company Neustar in 2021, TransUnion has expanded into other services such as marketing, fraud detection and prevention, and robust analytical services. At the core of its strategy is the mountain of data that TransUnion has acquired — along with more than 25 companies — over decades.

Artificial Inteligence 276

Artificial Inteligence Generative AI Machine Learning Analytics 276

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

CIO

DECEMBER 19, 2023

Zero trust has quickly cemented itself as the go-to solution to the problems of these perimeter-based architectures. Zero trust is an architecture ; it is neither an extra lever for the status quo nor a mere figment of a hopeful or naive imagination. Read on to see the four key areas protected by a complete zero trust architecture.

B2B 241

B2B IoT Architecture Fashion 241

Infinidat

APRIL 26, 2022

Software Driven Business Advantages in the Enterprise Storage Market. Not too many years ago, enterprise storage solutions were all about hardware-based innovation, delivering performance and functionality by adding dedicated and proprietary hardware components. Adriana Andronescu. Tue, 04/26/2022 - 22:00.

Storage 95

Storage Enterprise Software Marketing 95

TechCrunch

MAY 11, 2022

It takes so long because the telemetry data that they use to analyze the problem is siloed — and specialized tools are used to look at each silo. The relationships, which range from things like customer accounts to ecommerce shopping carts, can be used by devs to investigate why an app misbehaved, for example, or suffered an outage.

Data 175

Data Technical Cofounder eCommerce Survey 175

CIO

JULY 14, 2022

The challenges of managing data, the lifeblood of any enterprise, are continuously evolving and require attention because ignoring them only makes the “pain points” worse. The continuous attempts at comprehensive theft and hostage-taking of valuable corporate data can be overwhelming. . Otherwise, what is its value? 1 concern of CEOs.

Performance 299

Performance DevOps Storage Weak Development Team 299

CIO

NOVEMBER 2, 2023

Other top concerns are data privacy and security challenges (31%) and lack of cloud security and cloud expertise (24%). After some time, people have understood the storage needs better based on usage and preventing data extract fees.” He went with cloud provider Wasabi for those storage needs. “We

Strategy 349

Strategy Cloud Generative AI Data Center 349

Cloudera

JULY 15, 2021

The release of Cloudera Data Platform (CDP) Private Cloud Base edition provides customers with a next generation hybrid cloud architecture. The storage layer for CDP Private Cloud, including object storage. Traditional data clusters for workloads not ready for cloud. Introduction and Rationale. Edge or Gateway.

Architecture 103

Architecture Cloud Data Technical Advisors 103

CIO

JUNE 6, 2023

The apps and tools have to gather, process and deliver back data to the consumer with minimal latency. An increased demand for high-performance computing for cloud data centers AI workloads require specialized processors that can handle complex algorithms and large amounts of data.

Hardware 241

Hardware Artificial Inteligence Applications Wireless 241

TechCrunch

MAY 18, 2022

Heartex, a startup that bills itself as an “open source” platform for data labeling, today announced that it landed $25 million in a Series A funding round led by Redpoint Ventures. We agreed that the only viable solution was to have internal teams with domain expertise be responsible for annotating and curating training data.

Open Source 203

Open Source Weak Development Team Artificial Inteligence Data 203

CIO

JANUARY 31, 2024

Everything from geothermal data centers to more efficient graphic processing units (GPUs) can help. Use more efficient processes and architectures Boris Gamazaychikov, senior manager of emissions reduction at SaaS provider Salesforce, recommends using specialized AI models to reduce the power needed to train them. “Is

Sustainability 332

Sustainability Data Center Artificial Intelligence Artificial Inteligence 332

CIO

MARCH 18, 2024

One such company has built a tool that predicts customer intent and behavior based on previous interactions and other market data. We are proceeding cautiously because the rise of LLMs [large language models] presents a new level of data security risk,” he says. “We So there is a revenue-generating aspect for this,” he says.

Artificial Inteligence 333

Artificial Inteligence Banking Technical Review How To 333

CIO

NOVEMBER 22, 2022

Are they successfully untangling their “spaghetti architectures”? Home Depot , for example, is upgrading its wi-fi systems to make it easier for customers to design, visualize, and buy materials for their projects. And how is that data reconciled into the POS systems to determine in-store product quantity?

Retail 359

Retail Minimum Viable Product Architecture Machine Learning 359

Datavail

APRIL 1, 2020

In our last article, we talked about defining your data strategy as a critical step for building a solid data foundation. We’ll now discuss the second, yet no less important, step: articulating the data architecture that will help make your data strategy a reality.

Architecture 52

Architecture Data Storage Strategy 52

CIO

NOVEMBER 1, 2023

SAP doesn’t want to build those tools from scratch itself: “We definitely want to leverage what’s already out there,” Sun said, noting there are already many large language models (LLMs) it can build on, adding its own prompting, fine tuning, and data embedding to get those models to business customers quickly.

Artificial Inteligence 331

Artificial Inteligence Enterprise Tools Generative AI 331

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 316

Sustainability Data Center Technical Review Energy 316

CIO

AUGUST 4, 2022

This inflection point related to the increasing amount of time needed for AI model training — as well as increasing costs around data gravity and compute cycles — spurs many companies to adopt a hybridized approach and move their AI projects from the cloud back to an on-premises infrastructure or one that’s colocated with their data lake.

Infrastructure 234

Infrastructure Development Systems Review Artificial Intelligence 234

CircleCI

MAY 21, 2020

Designing software that is flexible and changeable is arguably the most important architectural property. However, if we optimise our architecture for change (evolvability), when we discover a performance issue or a security vulnerability we can change our system to help address it. or “What about security?”. Software is similar.

Architecture 122

Architecture Weak Development Team Metrics Culture 122

CIO

MARCH 27, 2024

For Huawei, digitally transforming manufacturing through advanced ICT including 5G technologies, cloud computing, big data and AI, is the key to reshaping industries for the future. Going Digital to accelerate Innovation and R&D Today’s customer demands digitally integrated and intelligent products.

Automotive 130

Automotive Storage Systems Review Technical Review 130

CIO

DECEMBER 7, 2022

However, many organizations simply don’t have the resources or the expertise to build or manage the complex distributed systems required for effective edge computing delivery, a distributed computing paradigm that brings computation and data storage closer to the sources of data.

Technical Review 231

Technical Review IoT Systems Review Software Review 231

Xebia

APRIL 14, 2023

Scope 2 : Indirect emissions associated with, for example, the generation of electricity which has been purchased for your own consumption. AWS examples include emissions related to data center construction, and the manufacture and transportation of IT hardware deployed in data centers. This will reduce emissions.

Sustainability 130

Sustainability Cloud AWS Energy 130

Datavail

NOVEMBER 17, 2021

As data volumes continue to grow, the systems and architectures need to evolve. Without accessible data, decision makers can miss major opportunities to identify opportunities, build customer satisfaction, and get ahead of the competition. Most likely, your company has shifted their approach to data and analytics.

Case Study 97

Case Study Analytics Study Architecture 97

Dzone - DevOps

MAY 1, 2023

This was not only about rewriting applications, but the backend data stores were also redesigned in terms of dynamic scalability , high performance, and flexibility for event-driven architecture.

Serverless 83

Serverless Lambda Data Microservices 83

CIO

NOVEMBER 29, 2023

Architectural lock-in is when the application relies on multiple managed services from the cloud provider. Mergers and acquisition activity often leaves organizations with multi-cloud architectures, says Nag, and while CIOs typically want to consolidate, the cost is often too high to justify. So plan for that in advance, adds Holcombe.

Cloud 312

Cloud Technical Review Software Review Systems Review 312

Perficient

DECEMBER 28, 2023

At the heart of HCL Commerce lies its common architecture, a carefully crafted framework that ensures flexibility, scalability, and performance. In this blog, we’ll delve into the intricacies of HCL Commerce Common Architecture, breaking down each layer to provide a comprehensive understanding.

Architecture 52

Architecture B2C Applications Scalability 52

Actian

OCTOBER 24, 2019

When architecting your data warehouse solution, separating compute and data storage is extremely important for both operational sustainability and economic efficiency. Storage capacity is a function of time. As you conduct business, you generate data – data about your customers, your products, your sales, etc.

Storage 40

Storage Analytics Data Cloud 40

CIO

JUNE 28, 2023

“When you create an app bundle, AppFabric creates the required AWS Identity and Access Management (IAM) role in your AWS account, which is required to send metrics to Amazon CloudWatch and to access AWS resources such as Amazon Simple Storage Service (Amazon S3) and Amazon Kinesis Data Firehose,” AWS wrote in a blog post.

Generative AI 340

Generative AI AWS Artificial Inteligence Windows 340

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. These costs impede the adoption of cloud-native data warehouses.

Data 98

Data Technical Review Storage Systems Review 98