CIO

APRIL 17, 2025

To run an internal tool, a company may use cloud services from one vendor, database APIs from a second vendor, a caching service from a third vendor, an AI tool from a fourth, and a sign-in service from a fifth, he says. In some cases, internal data is still scattered across many databases, storage locations, and formats.

Data 194

Data Weak Development Team Fractional CTO Software Review 194

Netflix Tech

DECEMBER 17, 2024

This article is the first in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Subsequent posts will detail examples of exciting analytic engineering domain applications and aspects of the technical craft.

Analytics 84

Analytics Engineering Survey Metrics 84

CIO

OCTOBER 10, 2024

The growing role of FinOps in SaaS SaaS is now a vital component of the Cloud ecosystem, providing anything from specialist tools for security and analytics to enterprise apps like CRM systems. FinOps procedures and ITAM tools should work together to guarantee ongoing SaaS license management and monitoring.

Cloud 173

Cloud Guidelines Enterprise Sustainability 173

CIO

DECEMBER 5, 2024

In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. This shift allows for enhanced context learning, prompt augmentation, and self-service data insights through conversational business intelligence tools, as well as detailed analysis via charts.

Enterprise 158

Enterprise Data Insurance Business Intelligence 158

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.” Vibram certainly isn’t an isolated case of a company growing its business through tools made available by the CIO.

Cloud 179

Cloud Technical Review Data B2C 179

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

TechCrunch

JUNE 1, 2022

That’s leading to the rise of a wave of startups building tools to improve how to manage this. Added to this, the company is now going to be adding in a fourth area: now it will also offer a distributed query engine for fast queries on mapped data from a customer’s own archives in remote storage.

Analytics 246

Analytics DevOps Storage Business Intelligence 246

CIO

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Analytics 203

Analytics Data Analysis Business Analytics 203

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

APRIL 9, 2025

The networking, compute, and storage needs not to mention power and cooling are significant, and market pressures require the assembly to happen quickly. IT teams maintain operational consistency by using their familiar on-premises tools to manage cloud workloads, eliminating retraining needs. AI and analytics integration.

Google Cloud 133

Google Cloud Load Balancer Virtualization Artificial Inteligence 133

CIO

APRIL 23, 2025

That approach to data storage is a problem for enterprises today because if they use outdated or inaccurate data to train an LLM, those errors get baked into the model. If you use data to train a customer-facing tool that performs poorly, you may hurt customer confidence in your companys capabilities.

Artificial Inteligence 190

Artificial Inteligence Data Compliance Government 190

Xebia

OCTOBER 18, 2024

This creates the opportunity for combining lightweight tools like DuckDB with Unity Catalog. DuckDB is an in-process analytical database designed for fast query execution, especially suited for analytics workloads. Dbt is a popular tool for transforming data in a data warehouse or data lake. million downloads per week.

Open Source 162

Open Source AWS Government Technical Review 162

CIO

MARCH 13, 2025

If BI tools get more expensive, Microsoft can pitch E5 as a more economical path forward, he noted. He noted that most Power BI estates of any meaningful size will see cost efficiencies in migrating to Fabric F64 (Fabric with 64TB of storage) with a three year commitment, which allows unlimited report consumption by all users.

Technical Review 139

Technical Review Analytics Marketing Research 139

CIO

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 190

Big Data Analytics Data eLearning 190

Honeycomb

NOVEMBER 19, 2024

has three pillars and many sources of truth , scattered across disparate tools and formats. You probably use some subset (or superset) of tools including APM, RUM, unstructured logs, structured logs, infra metrics, tracing tools, profiling tools, product analytics, marketing analytics, dashboards, SLO tools, and more.

Software Review 133

Software Review Weak Development Team Metrics Technical Review 133

TechCrunch

MAY 24, 2022

Given how critical this sort of visibility into a system can be for developers, not to mention a broader organization, it’s unsurprising that tools to help achieve greater observability remain in high demand. ” Image Credits: Cribl.

Tools 212

Tools Survey Metrics Enterprise 212

CIO

SEPTEMBER 14, 2023

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Database-centric: In larger organizations, where managing the flow of data is a full-time job, data engineers focus on analytics databases. Common ETK tools include Xplenty, Stitch, Alooma, and Talend.

Data Engineering 203

Data Engineering Analytics Engineering Data 203

TechCrunch

MAY 19, 2021

German battery analytics software company Twaice has been taking aim at this problem since its founding in 2018, and it announced Wednesday that it has raised $26 million in Series B funding led by Chicago-based Energize Ventures. Twaice also offers solutions before the battery even enters the vehicle or energy storage system.

Analytics 155

Analytics Software Energy Storage 155

CIO

AUGUST 9, 2022

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Database-centric: In larger organizations, where managing the flow of data is a full-time job, data engineers focus on analytics databases. What is a data engineer? Data engineer job description.

Data Engineering 197

Data Engineering Analytics Engineering Data 197

TechCrunch

DECEMBER 1, 2020

DevOps continues to get a lot of attention as a wave of companies develop more sophisticated tools to help developers manage increasingly complex architectures and workloads. On top of that, today there are a wide range of applications and platforms that a typical organization will use to manage source material, storage, usage and so on.

Tools 214

Tools Data Weak Development Team Big Data 214

TechCrunch

APRIL 27, 2021

It connects to various data sources including Salesforce and Google Analytics, data lakes like Snowflake, csv files to take advantage of Excel data or cloud storage tools like Amazon S3.

Artificial Inteligence 212

Artificial Inteligence Tools Machine Learning Data 212

CIO

JUNE 5, 2024

As organizations migrate to the cloud, it’s clear the gap between traditional SOC capabilities and cloud security requirements widens, leaving critical assets vulnerable to cyber threats and presenting a new set of security challenges that traditional Security Operations Center (SOC) tools are ill-equipped to handle.

Tools 167

Tools Cloud Analytics Machine Learning 167

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. Retraining admins on new tools to manage cloud environments requires time and money.

Cloud 88

Cloud Google Cloud Disaster Recovery Data Center 88

Honeycomb

APRIL 23, 2025

Part 2: Observability cost drivers and levers of control I recently wrote an update to my old piece on the cost of observability , on how much you should spend on observability tooling. Get your free copy of Charity’s Cost Crisis in Metrics Tooling whitepaper. The answer, of course, is its complicated. Really, really complicated.

Weak Development Team 110

Weak Development Team Metrics Storage Engineering 110

CIO

APRIL 25, 2024

The dynamic nature of the cloud — and the need for continually optimize operations — often drives requirements unique to a CIO’s enterprise, meaning that even some popular third-party cloud cost optimization tools may no longer fit an enterprise’s specific requirements. Garcia gives the example of the AWS cURL file, written three times daily.

Tools 187

Tools Cloud AWS Off-The-Shelf 187

CIO

JANUARY 5, 2023

Low-code/no-code visual programming tools promise to radically simplify and speed up application development by allowing business users to create new applications using drag and drop interfaces, reducing the workload on hard-to-find professional developers. Vikram Ramani, Fidelity National Information Services CTO.

Software Review 195

Software Review Tools Off-The-Shelf Technical Review 195

AWS Machine Learning - AI

MARCH 20, 2025

Use cases for Amazon Bedrock Data Automation Key use cases such as intelligent document processing , media asset analysis and monetization , speech analytics , search and discovery, and agent-driven operations highlight how Amazon Bedrock Data Automation enhances innovation, efficiency, and data-driven decision-making across industries.

Data 117

Data Generative AI Artificial Inteligence Compliance 117

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. Each of the acquired companies had multiple data sets with different primary keys, says Hepworth. “We

Analytics 148

Analytics CTO Games Generative AI 148

CIO

JANUARY 26, 2023

That way the group that added too many fancy features that need too much storage and server time will have to account for their profligacy. They’ve started adding better accounting tools and alarms that are triggered before the bills reach the stratosphere. What follows is an alphabetical list of the best cloud cost tracking tools.

Tools 174

Tools Cloud Artificial Inteligence Artificial Intelligence 174

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. “Our first idea was a classroom lecture tool, ClassMetric, which gave students a button they could press in class to let professors know, in real-time, that they were confused.

Marketing 285

Marketing Open Source Analytics Video 285

CIO

JANUARY 22, 2025

According to the Veeam 2024 Data Protection Trends Report, integrating AI and ML into cybersecurity tools is crucial for modern data protection. Predictive analytics and proactive recovery One significant advantage of AI in backup and recovery is its predictive capabilities.

Backup 88

Backup Artificial Inteligence Data Artificial Intelligence 88

TechCrunch

MAY 17, 2022

But organizations often lack the right set of tools to do so. “The industry at large is upon the next wave of technical hurdles for analytics based on how organizations want to derive value from data. Now, the challenge organizations are trying to solve are large scale analytics applications enabling interactive data experiences.

Technical Review 249

Technical Review Analytics Cloud Enterprise 249

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. It is a critical feature for delivering unified access to data in distributed, multi-engine architectures.

Data 84

Data Analytics Systems Review Architecture 84

CIO

APRIL 21, 2025

Many organizations can realize immediate savings leveraging native cloud cost management tools or a third-party cloud cost management platform, the report said. 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

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

CIO

APRIL 16, 2025

Digital tools are the lifeblood of todays enterprises, but the complexity of hybrid cloud architectures, involving thousands of containers, microservices and applications, frustratesoperational leaders trying to optimize business outcomes. Siloed point tools frustrate collaboration and scale poorly.

Artificial Inteligence 88

Artificial Inteligence Artificial Intelligence Analysis Banking 88

CIO

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Business intelligence examples Reporting is a central facet of BI and the dashboard is perhaps the archetypical BI tool.

Business Intelligence 216

Business Intelligence Data Business Analytics Analytics 216