CIO

APRIL 15, 2025

Today, data sovereignty laws and compliance requirements force organizations to keep certain datasets within national borders, leading to localized cloud storage and computing solutions just as trade hubs adapted to regulatory and logistical barriers centuries ago. This gravitational effect presents a paradox for IT leaders.

Strategy 164

Strategy Cloud Data Technical Review 164

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

NOVEMBER 14, 2024

“Online will become increasingly central, with the launch of new collections and models, as well as opening in new markets, transacting in different currencies, and using in-depth analytics to make quick decisions.” In this case, IT works hand in hand with internal analytics experts.

Cloud 179

Cloud Technical Review Data B2C 179

Infinidat

APRIL 17, 2025

Infinidat Recognizes GSI and Tech Alliance Partners for Extending the Value of Infinidats Enterprise Storage Solutions Adriana Andronescu Thu, 04/17/2025 - 08:14 Infinidat works together with an impressive array of GSI and Tech Alliance Partners the biggest names in the tech industry.

Technical Review 91

Technical Review Storage Enterprise Fractional CTO 91

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. For companies moving to the cloud specifically, IDG reports that they plan to devote $78 million toward infrastructure this year. Image Credits: Pliops.

Data Center 208

Data Center Analytics Weak Development Team Data 208

CIO

OCTOBER 10, 2024

FinOps, which was first created to maximise the use of Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) models, is currently broadening its scope to include Software as a Service (SaaS). With more and more businesses moving to the Cloud, FinOps is becoming a vital framework for efficiently controlling Cloud expenses.

Cloud 173

Cloud Guidelines Enterprise Sustainability 173

CIO

APRIL 17, 2025

Data strategies in the balance In addition to a data visibility gap between levels of IT management, quality problems often come from piecemeal IT infrastructure, with many companies using multiple IT vendors products to achieve desired functionality, says Anant Agarwal, co-founder and CTO at Aidora, developer of AI-powered HR software.

Data 194

Data Weak Development Team Fractional CTO Software Review 194

TechCrunch

APRIL 5, 2022

And the company manages the infrastructure for you, meaning that you don’t have to spin up more servers as your data sets get larger. Instead of reacting to data-driven analytics, you build products that act in realtime. For instance, you can create realtime analytical dashboards for your customers.

Analytics 228

Analytics Hotels Travel Retail 228

CIO

OCTOBER 30, 2023

CIOs are responsible for much more than IT infrastructure; they must drive the adoption of innovative technology and partner closely with their data scientists and engineers to make AI a reality–all while keeping costs down and being cyber-resilient. Artificial intelligence (AI) is reshaping our world.

Infrastructure 214

Infrastructure Data Artificial Inteligence Artificial Intelligence 214

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

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

DevOps.com

FEBRUARY 7, 2021

Now more than ever, companies are looking for new ways to incorporate data analytics into their daily operations and leverage data-driven insights to improve business functions. The post Understanding Data Storage: Lakes vs. Warehouses appeared first on DevOps.com. However, understanding […].

Storage 145

Storage Artificial Inteligence Data Artificial Intelligence 145

CIO

APRIL 9, 2025

Google has helped us navigate the VMware licensing changes every step of the way, said Everett Chesley, Director of IT Infrastructure at Granite Telecommunications. VCF is a comprehensive platform that integrates VMwares compute, storage, and network virtualization capabilities with its management and application infrastructure capabilities.

Google Cloud 88

Google Cloud Cloud Engineering Storage 88

CIO

APRIL 21, 2025

Already, IT is feeling the impact on infrastructure and supply chains, and CIOs are decreasing capital expenditures and scaling back projects or delaying them altogether. 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.

Technical Review 124

Technical Review Systems Review Budget Banking 124

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. He claims that solutions could provide up to double the bandwidth on the same infrastructure.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

CIO

AUGUST 3, 2023

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices.

Analytics 148

Analytics CTO Games Generative AI 148

CIO

SEPTEMBER 10, 2024

In continuation of its efforts to help enterprises migrate to the cloud, Oracle said it is partnering with Amazon Web Services (AWS) to offer database services on the latter’s infrastructure. This is Oracle’s third partnership with a hyperscaler to offer its database services on the hyperscaler’s infrastructure.

AWS 218

AWS Azure Database Administration Google Cloud 218

CIO

APRIL 9, 2025

Cloud-based workloads can burst as needed, because IT can easily add more compute and storage capacity on-demand to handle spikes in usage, such as during tax season for an accounting firm or on Black Friday for an e-commerce site. Theres no downtime, and all networking and dependencies are retained. Enhancing applications.

Cloud 88

Cloud Google Cloud Disaster Recovery Data Center 88

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

CIO

OCTOBER 20, 2023

Meanwhile, enterprises are rapidly moving away from tape and other on-premises storage in favor of cloud object stores. Cost optimization: Tape-based infrastructure and VTL have heavy capital and operational costs for storage space, maintenance, and hardware.

Cloud 199

Cloud Data Storage Backup 199

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 Machine Learning Artificial Inteligence Policies 116

CIO

AUGUST 19, 2024

This transformation is fueled by several factors, including the surging demand for electric vehicles (EVs) and the exponential growth of renewable energy and battery storage. As EVs continue to gain popularity, they place a substantial load on the grid, necessitating infrastructure upgrades and improved demand response solutions.

Energy 183

Energy Load Balancer Systems Review Technical Review 183

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. They are free to choose the infrastructure best suited for each workload.

Data 84

Data Analytics Systems Review Architecture 84

TechCrunch

NOVEMBER 3, 2020

Box launched in 2005 as a consumer storage product before deciding to take on content management in the enterprise in 2008. The founders, who were MIT students at the time, decided they wanted to build an analytics tool instead, but it turned out that competition from Google Analytics and Mixpanel at the time proved too steep.

Marketing 285

Marketing Open Source Analytics Video 285

TechCrunch

JUNE 7, 2022

The demand for AI in the enterprise is insatiable, but the challenge lies in building the support infrastructure and its development and maintenance. He and Cheung saw the history of AI reaching an inflection point: Over the previous 10 years, companies invested in AI to keep up with tech trends or help with analytics.

Artificial Inteligence 251

Artificial Inteligence Machine Learning Weak Development Team Data 251

CIO

DECEMBER 12, 2024

This ambitious initiative has revolutionized public safety by combining a massive surveillance network with advanced analytics and artificial intelligence, creating a system that shifts the focus from reactive responses to proactive prevention. The number of cameras has grown from just 40,500 to an impressive 1.3

Innovation 78

Innovation Artificial Inteligence Artificial Intelligence Strategic Planning 78

TechCrunch

AUGUST 25, 2021

Users can then choose their own analytics tools and storage destinations like Splunk, Datadog and Exabeam, but without becoming dependent on a vendor. Though Cribl is developing a pipeline for data, Sharp sees it more as an “observability lake,” as more companies have differing data storage needs.

Enterprise 247

Enterprise Data Weak Development Team Storage 247

O'Reilly Media - Data

APRIL 3, 2018

Companies continue to use data to improve decision-making (business intelligence and analytics) and for automation (machine learning and AI). The need for scaleout and streaming infrastructure can often be traced back to the importance of text, temporal data, and graphs. Visualization, Design, and UX sessions.

Machine Learning 239

Machine Learning Artificial Inteligence Company Case Study 239

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 111

Weak Development Team Metrics Storage Engineering 111

TechCrunch

JANUARY 24, 2023

The same survey found the average number of data sources per organization is now 400 sources, and that more than 20% of companies surveyed were drawing from 1,000 or more data sources to feed their business intelligence and analytics systems. ” So what else can enterprises do with Komprise? .

Company 203

Company Data Storage Backup 203

Crunchbase News

FEBRUARY 23, 2024

Infrastructure, a variable cost If you, like most startups, built in the cloud, every user walking in the front door represents an incremental cost to serve. That means, as odd as it sounds, infrastructure is actually a variable cost. Notifications, analytics, storage, marketing comms, compliance scans, transactional messages, login?

Infrastructure 112

Infrastructure Off-The-Shelf Weak Development Team Film 112

AWS Machine Learning - AI

DECEMBER 4, 2024

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. This will provision the backend infrastructure and services that the sales analytics application will rely on.

Generative AI 106

Generative AI Applications Technical Review Software Review 106

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

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

CIO

OCTOBER 2, 2024

By 2050, an estimated 68% of the global population will reside in urban environments, placing immense strain on existing infrastructure and resource allocation. Advanced analytics platforms, leveraging machine learning (ML) algorithms and AI, extract meaningful insights from this data.

IoT 185

IoT Real Estate Artificial Inteligence Sustainability 185

AWS Machine Learning - AI

JANUARY 13, 2025

As enterprises continue to grow their applications, environments, and infrastructure, it has become difficult to keep pace with technology trends, best practices, and programming standards. No complex infrastructure setup. Thats where Amazon Q shines. It adapts to your business needs, user applications, and end-user personas.

Generative AI 105

Generative AI AWS Innovation Knowledge Base 105

TechCrunch

OCTOBER 7, 2021

Data observability — necessary to keep tabs on infrastructure performing as it should; to see if apps are returning errors; and to ensure that critical business data is getting to where it needs to go — is becoming an evermore complicated task as organizations’ cloud-native data demands and data usage grow.

Cloud 209

Cloud Sport Open Source Machine Learning 209