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

APRIL 21, 2025

The research firm is projecting a move closer to the previous downside of 5% growth, which reflects a rapid, negative impact on hardware and IT services spending. 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

O'Reilly Media - Data

MAY 3, 2018

Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products. Which brings me to the main topic of this presentation: how do we build analytic services and products in an age when data privacy has emerged as an important issue?

Analytics 186

Analytics Artificial Inteligence Data Machine Learning 186

CIO

APRIL 1, 2024

Blackwell will also allow enterprises with very deep pockets to set up AI factories, made up of integrated compute resources, storage, networking, workstations, software, and other pieces. But Nvidia’s many announcements during the conference didn’t address a handful of ongoing challenges on the hardware side of AI.

Hardware 148

Hardware Artificial Inteligence Off-The-Shelf Generative AI 148

CIO

JANUARY 22, 2025

Cyberthreats, hardware failures, and human errors are constant risks that can disrupt business continuity. 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

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

CIO

SEPTEMBER 10, 2024

In September last year, the company started collocating its Oracle database hardware (including Oracle Exadata) and software in Microsoft Azure data centers , giving customers direct access to Oracle database services running on Oracle Cloud Infrastructure (OCI) via Azure.

AWS 218

AWS Azure Database Administration Google Cloud 218

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

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.

Artificial Inteligence 178

Artificial Inteligence Data Artificial Intelligence Analytics 178

CIO

APRIL 1, 2025

Data processing costs: Track storage, retrieval and preprocessing costs. This involves leveraging advanced techniques such as predictive analytics for cost forecasting, automation of cost management processes and continuous refinement of financial strategies to identify and eliminate inefficiencies.

Technical Review 88

Technical Review Azure Budget Artificial Intelligence 88

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. What are streaming or real-time analytics?

Analytics 20

Analytics Data IoT Analysis 20

CIO

JANUARY 9, 2023

2] Here, we explore the demands and opportunities of edge computing and how an approach to Business Outcomes-as-a-Service can provide end-to-end analytics with lowered operational risk. It’s bringing advanced analytics and AI capabilities where they’re needed most – the edge. And they’re achieving significant wins. [2]

Company 190

Company IoT Technical Review Data 190

TechCrunch

SEPTEMBER 13, 2022

In late 2020, developers Noam Liran and Alex Litvak were inspired to create a platform that applied automation concepts from security to the business analytics space. Currently, Sightfull has roughly a dozen SaaS customers, including Wiz and storage hardware startup VAST Data.

Business Intelligence 185

Business Intelligence Analytics Business Analytics Hardware 185

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

CIO

AUGUST 20, 2024

Hard costs include: Setting up the infrastructure (servers, connectivity, storage, gateways, sensors/input devices, and hardware) and integrating the edge deployment with it. She often writes about cybersecurity, disaster recovery, storage, unified communications, and wireless technology.

Disaster Recovery 179

Disaster Recovery Unified Communications Storage Infrastructure 179

The Crazy Programmer

DECEMBER 13, 2020

This paper tests the Random Number Generator (RNG) based on the hardware used in encryption applications. Data Warehousing is the method of designing and utilizing a data storage system. Cloud Storage. Optical Storage Technology. 3D Optical Storage Technology. Random Number Generators. Data Warehousing.

Engineering 270

Engineering Wireless 3D Programming 270

The Citus Data

OCTOBER 28, 2020

Specifically, the amount of data in our customer’s analytic store was growing faster than the compute required to process that data. AWS Redshift was not able to offer independent scaling of storage and compute—hence our customer was paying extra cost by being forced to scale up the Redshift nodes to account for growing data volumes.

Analytics 98

Analytics Azure Storage Architecture 98

TechCrunch

AUGUST 25, 2022

” “The legacy videoconferencing players are struggling to innovate across the disruptive shift from client-based messaging architectures to low-latency, hardware-accelerated, cloud-based real-time AI on real-time communication streams,” Green said via email. “There has been a slow rollout of AI features (e.g.,

Software Review 247

Software Review Meeting Systems Review Technical Review 247

TechCrunch

AUGUST 27, 2021

The plan is to roll out a more modular version by Q4, where instead of an entire cart, you get three pieces of hardware that attach to a standard cart. Amazon’s walk-out tech is expected to cost retailers upwards of $1 million for installation and hardware, and that doesn’t include maintenance over time.

Technical Review 215

Technical Review Retail Hardware Off-The-Shelf 215

Altexsoft

MAY 20, 2020

Source: IoT Analytics. Namely, these layers are: perception layer (hardware components such as sensors, actuators, and devices; transport layer (networks and gateway); processing layer (middleware or IoT platforms); application layer (software solutions for end users). Perception layer: IoT hardware. Source: IoT Analytics.

IoT 141

IoT Azure AWS Transportation 141

CTOvision

DECEMBER 9, 2016

SolarFlare's Capture SolarSystem provides high performance hardware time-stamped Ethernet packet capture, persisted storage, indexed query and network analytics on customer-supplied and specified off-the-shelf server hardware.

Off-The-Shelf 101

Off-The-Shelf Hardware Analytics Storage 101

Altexsoft

DECEMBER 9, 2020

Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. What is analytics maturity model? They also serve as a guide in the analytics transformation process. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

CIO

OCTOBER 1, 2022

Compounding the challenge is the fact that the major cloud service providers (CSPs) offer as many as 600 different service options based on factors such as processor type, memory configuration, storage, networking, hypervisor, and other variables. Reducing costs is also more than just a matter of choosing instance types.

Performance 148

Performance Cloud Hardware Survey 148

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

JANUARY 31, 2023

As solar power continues to grow, more consumers are investing in micro-generation and energy storage that feeds surplus energy back to the grid. Intel® Technologies Move Analytics Forward Data analytics is the key to unlocking the most value you can extract from data across your organization. Just starting out with analytics?

Energy 167

Energy Artificial Inteligence Artificial Intelligence Analytics 167

CIO

APRIL 30, 2024

IDC forecast shows that enterprise spending (which includes GenAI software, as well as related infrastructure hardware and IT/business services), is expected to more than double in 2024 and reach $151.1 Edge storage solutions: AI-generated content—such as images, videos, or sensor data—requires reliable and scalable storage.

Artificial Inteligence 158

Artificial Inteligence Storage Retail Artificial Intelligence 158

TechCrunch

JANUARY 25, 2022

” Wilab: Data analytics for 5G networks, meant to help predict energy/bandwidth needs and shorten outages. Grandeur Technologies: Pitching itself as “Firebase for IoT,” they’re building a suite of tools that lets developers focus more on the hardware and less on things like data storage or user authentication.

Company 219

Company Software Review Systems Review Technical Review 219

Cloudera

JULY 19, 2023

Introduction Ozone is an Apache Software Foundation project to build a distributed storage platform that caters to the demanding performance needs of analytical workloads, content distribution, and object storage use cases. The hardware specifications are included at the end of this blog.

Storage 70

Storage Performance Hardware Architecture 70

CIO

NOVEMBER 2, 2023

After being in cloud and leveraging it better, we are able to manage compute and storage better ourselves,” said the CIO, who notes that vendors are not cutting costs on licenses or capacity but are offering more guidance and tools. He went with cloud provider Wasabi for those storage needs. “We

Strategy 211

Strategy Cloud Data Center Budget 211

CIO

SEPTEMBER 14, 2022

The demand for software in manufacturing has only increased, as nearly every piece of equipment or hardware is now connected to the internet in some form — and this has also increased the demand for software engineers. It’s a technical role that also requires a level of soft skills such as leadership, communication, and analytical skills.

Technical Advisors 174

Technical Advisors Software Engineering Software Development Engineering 174

Cloudera

FEBRUARY 14, 2022

It’s no longer driven by data volumes, but containerization, separation of storage and compute, and democratization of analytics. Integrated security model with Shared Data Experience (SDX) allowing for downstream analytical consumption with centralized security and governance. CDE on PVC Overview.

Data Engineering 113

Data Engineering Engineering Data Storage 113

Cloudera

JUNE 13, 2023

Data and analytics are the essential engines in this strategy which entails upgrading the bank’s core banking technology to deliver reliable, efficient, and secure services for their customers while safeguarding critical data. The approach offered lower risks and allowed for comprehensive platform and application testing.

Analytics 77

Analytics Data Banking Big Data 77

TechCrunch

JUNE 25, 2021

He acknowledges that traditional big data warehousing works quite well for business intelligence and analytics use cases. ” Edge Delta is able to offer a significantly cheaper service, in large part because it doesn’t have to run a lot of compute and manage huge storage pools itself since a lot of that is handled at the edge.

Machine Learning 210

Machine Learning Artificial Inteligence Big Data Business Intelligence 210

AWS Machine Learning - AI

MARCH 13, 2025

11B-Vision-Instruct ) or Simple Storage Service (S3) URI containing the model files. There are additional optional runtime parameters that are already pre-optimized in TGI containers to maximize performance on host hardware. We didnt try to optimize the performance for each model/hardware/use case combination.

Artificial Inteligence 103

Artificial Inteligence AWS Machine Learning Load Balancer 103

Cloudera

SEPTEMBER 23, 2022

The first is near unlimited storage. Leveraging cloud-based object storage frees analytics platforms from any storage constraints. Analytical engines can be scaled up (or down) on demand, as per the requirements of your workload. You will have access to on-demand compute and storage at your discretion.

Government 109

Government Enterprise Strategy Data 109

CIO

SEPTEMBER 29, 2023

The process starts with identifying compromised hardware, software, and human assets – both internal and external – by way of scanning and reconnaissance methods. Let’s revisit the most prevalent security threats and see how they’re evolving in 2023. Cybercrime, Security

Software Review 210

Software Review Systems Review Technical Review Firewall 210

Altexsoft

APRIL 23, 2019

And these data channels serve as a pair of eyes for executives, supplying them with the analytical information of what is going on with a business and the market. Online analytical processing cubes. Business intelligence and predictive analytics. This type of data processing is also called descriptive analytics.

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93