CIO

DECEMBER 5, 2024

In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. Consolidating data and improving accessibility through tenanted access controls can typically deliver a 25-30% reduction in data storage expenses while driving more informed decisions.

Enterprise 158

Enterprise Data Insurance Business Intelligence 158

TechCrunch

AUGUST 16, 2022

Part of the problem is that data-intensive workloads require substantial resources, and that adding the necessary compute and storage infrastructure is often expensive. As a result, organizations are looking for solutions that free CPUs from computationally intensive storage tasks.” Marvell has its Octeon technology.

Data Center 208

Data Center Analytics Weak Development Team Data 208

CIO

AUGUST 9, 2023

In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. All this data means that organizations adopting generative AI face a potential, last-mile bottleneck, and that is storage. Novel approaches to storage are needed because generative AI’s requirements are vastly different.

Generative AI 148

Generative AI Storage Scalability Technical Review 148

CIO

JUNE 23, 2023

As the general manager of the Oakland Athletics, Beane used data and analytics to find undervalued baseball players on a shoestring budget. Artificial intelligence (AI) is the analytics vehicle that extracts data’s tremendous value and translates it into actionable, usable insights.

Storage 148

Storage Data Artificial Inteligence Artificial Intelligence 148

The Crazy Programmer

SEPTEMBER 11, 2021

MongoDB and is the open-source server product, which is used for document-oriented storage. All three of them experienced relational database scalability issues when developing web applications at their company. Both realized they were solving horizontal scalability problems again. MongoDB Inc.

Open Source 273

Open Source Storage Azure Journal 273

AWS Machine Learning - AI

MARCH 20, 2025

With Amazon Bedrock Data Automation, enterprises can accelerate AI adoption and develop solutions that are secure, scalable, and responsible. Traditionally, documents from portals, email, or scans are stored in Amazon Simple Storage Service (Amazon S3) , requiring custom logic to split multi-document packages.

Data 117

Data Generative AI Artificial Inteligence Compliance 117

AWS Machine Learning - AI

OCTOBER 29, 2024

These insights are stored in a central repository, unlocking the ability for analytics teams to have a single view of interactions and use the data to formulate better sales and support strategies. Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability.

Generative AI 111

Generative AI Video Engineering Artificial Inteligence 111

TechCrunch

JULY 12, 2022

SingleStore , a provider of databases for cloud and on-premises apps and analytical systems, today announced that it raised an additional $40 million, extending its Series F — which previously topped out at $82 million — to $116 million. The provider allows customers to run real-time transactions and analytics in a single database.

Storage 206

Storage Big Data Analytics Survey 206

TechCrunch

NOVEMBER 4, 2022

For example, a single video conferencing call can generate logs that require hundreds of storage tables. Cloud has fundamentally changed the way business is done because of the unlimited storage and scalable compute resources you can get at an affordable price. Self-service analytics.

Data 218

Data Storage Analytics Data Engineering 218

Infinidat

OCTOBER 14, 2021

End-to-end Visibility of Backup and Storage Operations with Integration of InfiniGuard® and Veritas APTARE IT Analytics. The outcome is the integration of Veritas APTARE IT Analytics and the Infinidat InfiniGuard® platform, enabling end-to-end visibility across the data infrastructure. APTARE IT Analytics is multi-faceted.

Backup 96

Backup Storage Analytics Disaster Recovery 96

AWS Machine Learning - AI

MARCH 20, 2025

The Asure team was manually analyzing thousands of call transcripts to uncover themes and trends, a process that lacked scalability. Therefore, it was valuable to provide Asure a post-call analytics pipeline capable of providing beneficial insights, thereby enhancing the overall customer support experience and driving business growth.

Generative AI 95

Generative AI Artificial Inteligence Metrics AWS 95

AWS Machine Learning - AI

MARCH 4, 2025

We demonstrate how to harness the power of LLMs to build an intelligent, scalable system that analyzes architecture documents and generates insightful recommendations based on AWS Well-Architected best practices. This scalability allows for more frequent and comprehensive reviews.

Generative AI 120

Generative AI Technical Review Software Review Systems Review 120

CIO

APRIL 9, 2025

VCF is a comprehensive platform that integrates VMwares compute, storage, and network virtualization capabilities with its management and application infrastructure capabilities. With Google Cloud, you can maximize the value of your VMware investments while benefiting from the scalability, security, and innovation of Googles infrastructure.

Google Cloud 88

Google Cloud Cloud Engineering Storage 88

Perficient

NOVEMBER 17, 2024

It enables seamless and scalable access to SAP and non-SAP data with its business context, logic, and semantic relationships preserved. Semantic Modeling Retaining relationships, hierarchies, and KPIs for analytics. Performance and Scalability Optimized for high-performance querying, batch processing, and real-time analytics.

Artificial Inteligence 59

Artificial Inteligence Machine Learning Architecture Analytics 59

CIO

APRIL 21, 2025

We also wanted to invest in a new data analytics platform, and now we [will] scale back and look for a more affordable option, he says. Freddie Tubbs, CIO, Academized.com Academized.com IT is using more analytics to understand how supply chain changes could impact the company. It helps us make faster and smarter decisions.

Technical Review 124

Technical Review Systems Review Budget Banking 124

CIO

OCTOBER 20, 2023

Cloud-based analytics, generative AI, predictive analytics, and more innovative technologies will fall flat if not run on real-time, representative data sets. A hybrid cloud approach means data storage is scalable and accessible, so that more data is an asset—not a detriment.

Data 195

Data How To Quality Assurance Software Development 195

TechCrunch

SEPTEMBER 27, 2021

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Firebolt raises $127M more for its new approach to cheaper and more efficient Big Data analytics.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

TechCrunch

DECEMBER 14, 2021

This is where Carto comes along with a product specialized on spatial analytics. Carto provides connectors with databases (PostgreSQL, MySQL or Microsoft SQL Server), cloud storage services (Dropbox, Box or Google Drive) or data warehouses (Amazon Redshift, Google BigQuery or Snowflake). Carto can ingest data from multiple sources.

Data 234

Data Telecommunications Transportation Analysis 234

CIO

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data 178

Data Artificial Inteligence Artificial Intelligence Analytics 178

CIO

APRIL 16, 2025

Proprietary data formats and capacity-based pricing dissuade customers from mining the analytical value of historical data. Petabyte-level scalability and use of low-cost object storage with millisec response to enable historical analysis and reduce costs. Siloed point tools frustrate collaboration and scale poorly.

Artificial Inteligence 88

Artificial Inteligence Artificial Intelligence Analysis Banking 88

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. Introduction. CRM platforms).

Scalability 94

Scalability Data Technical Review Analytics 94

Cloudera

NOVEMBER 7, 2023

Navigating this intricate maze of data can be challenging, and that’s why Apache Ozone has become a popular, cloud-native storage solution that spans any data use case with the performance needed for today’s data architectures. One of these two layouts should be used for all new storage needs.

Storage 105

Storage System Architecture Analytics 105

Datavail

JULY 27, 2021

Whether you’re a tiny startup or a massive Fortune 500 firm, cloud analytics has become a business best practice. A 2018 survey by MicroStrategy found that 39 percent of organizations are now running their analytics in the cloud, while another 45 percent are using analytics both in the cloud and on-premises.

Azure 98

Azure Analytics Cloud Company 98

Cloudera

MAY 9, 2024

The Gartner Data and Analytics Summit in London is quickly approaching on May 13 th to 15 th , and the Cloudera team is ready to hit the show floor! As far as data storage and processing resources go, there’s cloud, and then there’s your data center.

Analytics 102

Analytics Data Data Center Course 102

O'Reilly Media - Data

JUNE 5, 2018

Scalability limitations, slowing the efficiency of the data science team. More importantly, providing visibility through reports and analytics across these silos is nearly impossible, preventing upper management from having a clear picture of the business. But IT policy requires a balance between security and stability.

Data 186

Data Big Data Systems Review Technical Review 186

Honeycomb

APRIL 23, 2025

download Model-specific cost drivers: the pillars model vs consolidated storage model (observability 2.0) All of the observability companies founded post-2020 have been built using a very different approach: a single consolidated storage engine, backed by a columnar store. and observability 2.0. understandably). moving forward.

Weak Development Team 106

Weak Development Team Metrics Storage Engineering 106

Infinidat

JULY 13, 2021

AIOps Supercharges Storage-as-a-Service: What You Need to Know. In an interesting twist, though, the deployment of Artificial Intelligence for IT Operations (AIOps) in enterprise data storage is actually living up to the promise – and more. But AI is not only inside the storage platform. Adriana Andronescu.

Storage 98

Storage Artificial Inteligence Artificial Intelligence Enterprise 98

AWS Machine Learning - AI

MARCH 7, 2025

Verisk (Nasdaq: VRSK) is a leading strategic data analytics and technology partner to the global insurance industry, empowering clients to strengthen operating efficiency, improve underwriting and claims outcomes, combat fraud, and make informed decisions about global risks.

Generative AI 104

Generative AI Technical Review Insurance Policies 104

AWS Machine Learning - AI

MARCH 13, 2025

In this post, we dive deeper into one of MaestroQAs key featuresconversation analytics, which helps support teams uncover customer concerns, address points of friction, adapt support workflows, and identify areas for coaching through the use of Amazon Bedrock. The following architecture diagram demonstrates the request flow for AskAI.

Generative AI 113

Generative AI CTO Coach AWS Artificial Inteligence 113

CIO

JULY 18, 2024

This limits both time and cost while increasing productivity, allowing employees to make stronger analytical decisions. However, enterprises with integration solutions that coexist with native IT architecture have scalable data capture and synchronization abilities. These issues add up and lead to unreliability.

Cloud 167

Cloud Data Storage eBook 167

CIO

OCTOBER 2, 2024

Why the synergy between AI and IoT is key The real power of IoT lies in its seamless integration with data analytics and Artificial Intelligence (AI), where data from connected devices is transformed into actionable insights. This impressive growth trajectory underscores the accelerating role of IoT in our lives.

IoT 185

IoT Real Estate Artificial Inteligence Sustainability 185

Cloudera

SEPTEMBER 15, 2022

Apache Ozone is a distributed, scalable, and high-performance object store , available with Cloudera Data Platform (CDP), that can scale to billions of objects of varying sizes. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API.

Storage 87

Storage System Artificial Inteligence Big Data 87

Datavail

NOVEMBER 17, 2021

This is especially important for companies that rely on analytics to drive business insights and executive decisions. Most likely, your company has shifted their approach to data and analytics. They decided it was time to build a modern analytics environment that could support their needs now and into the future. Learn More.

Case Study 97

Case Study Analytics Study Architecture 97

Cloudera

MAY 30, 2024

These lakes power mission-critical, large-scale data analytics and AI use cases—including enterprise data warehouses. With an open data lakehouse powered by Apache Iceberg, businesses can better tap into the power of analytics and AI. Cloudera customers run some of the biggest data lakes on earth.

Analytics 74

Analytics Data Machine Learning Artificial Inteligence 74

AWS Machine Learning - AI

NOVEMBER 20, 2024

The solution combines data from an Amazon Aurora MySQL-Compatible Edition database and data stored in an Amazon Simple Storage Service (Amazon S3) bucket. Amazon S3 is an object storage service that offers industry-leading scalability, data availability, security, and performance. Akchhaya Sharma is a Sr.

Data 111

Data AWS Groups Knowledge Base 111

TechCrunch

OCTOBER 7, 2021

Today a startup that’s built a scalable platform to manage that is announcing a big round of funding to continue its own scaling journey. The underlying large-scale metrics storage technology they built was eventually open sourced as M3.

Cloud 209

Cloud Sport Open Source Machine Learning 209

CIO

OCTOBER 30, 2023

Traditionally, data management and the core underlying infrastructure, including storage and compute, have been viewed as separate IT initiatives. Beyond the traditional considerations of speeds and feeds, forward-thinking CIOs must ensure their compute and storage are adaptable.

Infrastructure 214

Infrastructure Data Artificial Inteligence Artificial Intelligence 214