CIO

APRIL 29, 2025

Traditional generative AI workflows arent very useful for needs like these because they cant easily access DevOps tools or data. Imagine, for example, asking an LLM which Amazon S3 storage buckets or Azure storage accounts contain data that is publicly accessible, then change their access settings?

DevOps 198

DevOps Artificial Inteligence Technical Review Software Review 198

CIO

NOVEMBER 4, 2024

To keep up, IT must be able to rapidly design and deliver application architectures that not only meet the business needs of the company but also meet data recovery and compliance mandates. Moving applications between data center, edge, and cloud environments is no simple task.

Disaster Recovery 165

Disaster Recovery Open Source Compliance Virtualization 165

TechCrunch

JANUARY 9, 2023

In December, reports suggested that Microsoft had acquired Fungible, a startup fabricating a type of data center hardware known as a data processing unit (DPU), for around $190 million. But its DPU architecture was difficult to develop for, reportedly, which might’ve affected its momentum.

Azure 282

Azure Data Center Data Storage 282

CIO

APRIL 30, 2025

Cloud architects are responsible for managing the cloud computing architecture in an organization, especially as cloud technologies grow increasingly complex. At organizations that have already completed their cloud adoption, cloud architects help maintain, oversee, troubleshoot, and optimize cloud architecture over time.

Cloud 161

Cloud AWS Azure Disaster Recovery 161

CIO

AUGUST 26, 2024

This approach enhances the agility of cloud computing across private and public locations—and gives organizations greater control over their applications and data. Public and private cloud infrastructure is often fundamentally incompatible, isolating islands of data and applications, increasing workload friction, and decreasing IT agility.

Storage 165

Storage AWS Compliance Cloud 165

AWS Machine Learning - AI

MARCH 20, 2025

The McKinsey 2023 State of AI Report identifies data management as a major obstacle to AI adoption and scaling. Enterprises generate massive volumes of unstructured data, from legal contracts to customer interactions, yet extracting meaningful insights remains a challenge.

Data 117

Data Generative AI Artificial Inteligence Compliance 117

Xebia

FEBRUARY 23, 2025

The data landscape is constantly evolving, making it challenging to stay updated with emerging trends. That’s why we’ve decided to launch a blog that focuses on the data trends we expect to see in 2025. Poor data quality automatically results in poor decisions. That applies not only to GenAI but to all data products.

Trends 130

Trends Data Artificial Inteligence Weak Development Team 130

CIO

JANUARY 7, 2025

It prevents vendor lock-in, gives a lever for strong negotiation, enables business flexibility in strategy execution owing to complicated architecture or regional limitations in terms of security and legal compliance if and when they rise and promotes portability from an application architecture perspective.

Cloud 147

Cloud Strategy Architecture Policies 147

TechCrunch

JUNE 28, 2022

Data centers with servers attached to solid-state drives (SSDs) can suffer from an imbalance of storage and compute. Either there’s not enough processing power to go around, or physical storage limits get in the way of data transfers, Lightbits Labs CEO Eran Kirzner explains to TechCrunch.

Data 205

Data Storage Data Center Cloud 205

AWS Machine Learning - AI

NOVEMBER 20, 2024

In today’s data-intensive business landscape, organizations face the challenge of extracting valuable insights from diverse data sources scattered across their infrastructure. The solution combines data from an Amazon Aurora MySQL-Compatible Edition database and data stored in an Amazon Simple Storage Service (Amazon S3) bucket.

Data 111

Data AWS Groups Knowledge Base 111

CIO

SEPTEMBER 10, 2024

More organizations than ever have adopted some sort of enterprise architecture framework, which provides important rules and structure that connect technology and the business. The results of this company’s enterprise architecture journey are detailed in IDC PeerScape: Practices for Enterprise Architecture Frameworks (September 2024).

Architecture 172

Architecture Enterprise Disaster Recovery Technical Review 172

CIO

JANUARY 8, 2025

The reasons include higher than expected costs, but also performance and latency issues; security, data privacy, and compliance concerns; and regional digital sovereignty regulations that affect where data can be located, transported, and processed. So we carefully manage our data lifecycle to minimize transfers between clouds.

Cloud 209

Cloud Technical Review Systems Review Budget 209

CIO

APRIL 1, 2025

In CIOs 2024 Security Priorities study, 40% of tech leaders said one of their key priorities is strengthening the protection of confidential data. But with big data comes big responsibility, and in a digital-centric world, data is coveted by many players. Ravinder Arora elucidates the process to render data legible.

Data 87

Data Authentication Compliance Artificial Intelligence 87

CIO

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data 198

Data Database Administration Data Engineering Artificial Inteligence 198

TechCrunch

AUGUST 16, 2022

Analyzing data generated within the enterprise — for example, sales and purchasing data — can lead to insights that improve operations. But some organizations are struggling to process, store and use their vast amounts of data efficiently. ” Pliops isn’t the first to market with a processor for data analytics.

Data Center 208

Data Center Analytics Weak Development Team Data 208

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI.

Data 84

Data Analytics Systems Review Architecture 84

TechCrunch

DECEMBER 14, 2021

Many companies collect a ton of data with some location element tied to it. Carto lets you display that data on interactive maps so that you can more easily compare, optimize, balance and take decisions. A lot of companies have been working on their data strategy to gain some insights. Insight Partners is leading today’s round.

Data 234

Data Telecommunications Transportation Analysis 234

Xebia

APRIL 9, 2025

This architecture leads to the slow performance Python developers know too well, where simple operations like creating a virtual environment or installing packages can take seconds or even minutes for complex projects. A hard link is a filesystem feature where multiple directory entries point to the same underlying data blocks on disk.

Engineering 130

Engineering Linux Virtualization Hardware 130

CIO

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Government 214

Government Data Technical Review Policies 214

AWS Machine Learning - AI

MARCH 4, 2025

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. The solution incorporates the following key features: Using a Retrieval Augmented Generation (RAG) architecture, the system generates a context-aware detailed assessment.

Generative AI 118

Generative AI Technical Review Software Review Systems Review 118

CIO

AUGUST 2, 2024

The AI revolution is driving demand for massive computing power and creating a data center shortage, with data center operators planning to build more facilities. But it’s time for data centers and other organizations with large compute needs to consider hardware replacement as another option, some experts say.

Data Center 212

Data Center Resources Data Hardware 212

CIO

MARCH 4, 2025

The challenge, however, will be compounded when multiple agents are involved in a workflow that is likely to change and evolve as different data inputs are encountered, given that these AI agents learn and adjust as they make decisions. This will lead to an operational headache for the C-suite, Dutta says.

Software Review 179

Software Review Artificial Inteligence Technical Review Government 179

CIO

JUNE 24, 2024

Data volumes continue to expand at an exponential rate, with no sign of slowing down. For instance, IDC predicts that the amount of commercial data in storage will grow to 12.8 Claus Torp Jensen , formerly CTO and Head of Architecture at CVS Health and Aetna, agreed that ransomware is a top concern. “At ZB by 2026.

Strategy 166

Strategy Data Disaster Recovery Artificial Intelligence 166

AWS Machine Learning - AI

JANUARY 29, 2025

DeepSeek-R1 distilled variations From the foundation of DeepSeek-R1, DeepSeek AI has created a series of distilled models based on both Metas Llama and Qwen architectures, ranging from 1.570 billion parameters. Sufficient local storage space, at least 17 GB for the 8B model or 135 GB for the 70B model.

Generative AI 132

Generative AI Artificial Inteligence AWS Serverless 132

TechCrunch

OCTOBER 18, 2022

RisingWave Labs , a company developing a platform for data stream processing, today announced that it raised $36 million in a Series A funding round led by Yunqi Partners, undisclosed corporate investors and angel investors. The architecture separates the compute layer from storage, Wu claims, maximizing the efficiency of cloud resources.

Cloud 207

Cloud Data Systems Review AWS 207

CIO

JANUARY 20, 2023

Truly data-driven companies see significantly better business outcomes than those that aren’t. But to get maximum value out of data and analytics, companies need to have a data-driven culture permeating the entire organization, one in which every business unit gets full access to the data it needs in the way it needs it.

Data 203

Data Compliance Architecture Technical Review 203

Honeycomb

APRIL 23, 2025

All Gartner data in this piece was pulled from this webinar on cost control ; slides here.) Its a bit tautological (companies are spending more because there is more data and people are using it more), but its a good place to start. If theres one thing we know about data problems, its that cost is always a first class citizen.

Weak Development Team 110

Weak Development Team Metrics Storage Engineering 110

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 217

Strategy Data Culture IoT 217

CIO

AUGUST 19, 2024

AWS, Microsoft, and Google are going nuclear to build and operate mega data centers better equipped to meet the increasingly hefty demands of generative AI. Earlier this year, AWS paid $650 million to purchase Talen Energy’s Cumulus Data Assets, a 960-megawatt nuclear-powered data center on site at Talen’s Susquehanna, Penn.,

Data Center 209

Data Center Data Energy Generative AI 209

AWS Machine Learning - AI

MAY 2, 2025

The following diagram illustrates the solution architecture on AWS. Image capture and storage with Amplify and Amazon S3 After being authenticated, the user can capture an image of a scene, item, or scenario they wish to recall words from. In this architecture, the frontend of the word finding app is hosted on Amplify.

Generative AI 92

Generative AI AWS Lambda Authentication 92

Dell EMC

OCTOBER 15, 2024

Harnessing AI with open, flexible architecture.

Storage 126

Storage Innovation Data Architecture 126

CIO

JULY 18, 2024

Emerging technologies are transforming organizations of all sizes, but with the seemingly endless possibilities they bring, they also come with new challenges surrounding data management that IT departments must solve. This is why data discovery and data transparency are so important.

Cloud 165

Cloud Data Storage eBook 165

AWS Machine Learning - AI

APRIL 29, 2025

At Data Reply and AWS, we are committed to helping organizations embrace the transformative opportunities generative AI presents, while fostering the safe, responsible, and trustworthy development of AI systems. These potential vulnerabilities could be exploited by adversaries through various threat vectors.

Generative AI 74

Generative AI Weak Development Team AWS Artificial Inteligence 74

Perficient

MARCH 31, 2025

Achieving end-to-end lineage in Databricks while allowing external users to access raw data can be a challenging task. However, enabling external users to access raw data while maintaining security and lineage integrity requires a well-thought-out architecture. This blog outlines a reference architecture to achieve this balance.

Data 52

Data Architecture Government Policies 52

TechCrunch

FEBRUARY 10, 2021

It’s the team’s networking and storage knowledge and seeing how that industry built its hardware that now informs how NeuReality is thinking about building its own AI platform. “We kind of combined a lot of techniques that we brought from the storage and networking world,” Tanach explained.

Hardware 250

Hardware Data Center Architecture Storage 250

CIO

MARCH 26, 2025

But with the right tools, processes, and strategies, your organization can make the most of your proprietary data and harness the power of data-driven insights and AI to accelerate your business forward. Using your data in real time at scale is key to driving business value.

Artificial Inteligence 78

Artificial Inteligence Data Generative AI Innovation 78

Honeycomb

NOVEMBER 19, 2024

has one source of truth , wide structured log events , from which you can derive all the other data types. Under the hood, these are stored in various metrics formats: unstructured logs (strings), structured logs, time-series databases, columnar databases , and other proprietary storage systems. Observability 2.0 Observability 1.0

Software Review 133

Software Review Weak Development Team Metrics Technical Review 133