TechCrunch

SEPTEMBER 27, 2021

Sanjay Gajendra, Astera’s chief business officer, notes that the chip giant is collaborating with the startup to develop PCI Express and CXL (Compute Express Link) technology and products to “increase bandwidth, performance, and resource availability in next generation server and storage infrastructure.”

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. Big data is tons of mixed, unstructured information that keeps piling up at high speed. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

CIO

JANUARY 20, 2023

2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. It’s About the Data For companies that have succeeded in an AI and analytics deployment, data availability is a key performance indicator, according to a Harvard Business Review report. [3]

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

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. public, private, hybrid cloud)?

Scalability 94

Scalability Data Technical Review Analytics 94

Perficient

NOVEMBER 17, 2024

This blog explores the key features of SAP Datasphere and Databricks, their complementary roles in modern data architectures, and the business value they deliver when integrated. SAP Datasphere is designed to simplify data landscapes by creating a business data fabric. What is SAP Datasphere? What is Databricks?

Artificial Inteligence 59

Artificial Inteligence Machine Learning Architecture Analytics 59

Dzone - DevOps

JANUARY 20, 2023

Having a distributed and scalable graph database system is highly sought after in many enterprise scenarios. Do Not Be Misled Designing and implementing a scalable graph database system has never been a trivial task.

Scalability 75

Scalability Fashion Architecture Big Data 75

TechCrunch

OCTOBER 18, 2022

“Google Maps has elegantly shown us how maps can be personalized and localized, so we used that as a jumping off point for how we wanted to approach the big data problem.” I think that by having observability data in that moment, it’s going to open up a lot of opportunities.

Software Review 237

Software Review Weak Development Team Analysis Tools 237

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

CIO

MARCH 9, 2022

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. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure. Meet the data lakehouse.

Data 178

Data Artificial Inteligence Artificial Intelligence Analytics 178

CIO

FEBRUARY 5, 2024

How did these changes help improve your business performance last year? Over the last fiscal year, these efforts have yielded notable improvements in business performance, with increased customer satisfaction, more efficient processes, and higher overall productivity.

Banking 179

Banking Artificial Inteligence Blockchain Scalability 179

Openxcell

SEPTEMBER 10, 2021

The performance of any application determines how the user will react to it. Let’s look at a situation where we’re asked to perform more than one task at a time. Performance testing will assist you in achieving a streamlined performance for your application. Major types of Performance Testing.

Performance 89

Performance Testing Scalability Applications 89

TechCrunch

NOVEMBER 2, 2022

But if you look closely, certain parts around investing is a big data problem – the kind of problem we can apply machine learning to at scale.”. The startup says it will accrue interest based on performance and will be transparent about its pricing. Arta has chosen a “massive unsolved problem in the global fintech space.

Fintech 232

Fintech Real Estate Banking Internet 232

AWS Machine Learning - AI

APRIL 30, 2025

Booking.com , one of the worlds leading digital travel services, is using AWS to power emerging generative AI technology at scale, creating personalized customer experiences while achieving greater scalability and efficiency in its operations. One of the things we really like about AWSs approach to generative AI is choice.

Generative AI 68

Generative AI Artificial Inteligence AWS Machine Learning 68

The Crazy Programmer

DECEMBER 13, 2020

Big Data Analysis for Customer Behaviour. Big data is a discipline that deals with methods of analyzing, collecting information systematically, or otherwise dealing with collections of data that are too large or too complex for conventional device data processing applications. Silent Sound Technology.

Engineering 270

Engineering Wireless 3D Programming 270

AWS Machine Learning - AI

NOVEMBER 20, 2024

Amazon S3 is an object storage service that offers industry-leading scalability, data availability, security, and performance. This custom knowledge base that connects these diverse data sources enables Amazon Q to seamlessly respond to a wide range of sales-related questions using the chat interface.

Data 111

Data AWS Groups Knowledge Base 111

AWS Machine Learning - AI

OCTOBER 31, 2024

Consider also expanding the assistant’s capabilities through function calling, to perform actions on behalf of users, such as scheduling meetings or initiating workflows. Performance optimization The serverless architecture used in this post provides a scalable solution out of the box.

Generative AI 123

Generative AI Lambda Applications AWS 123

AWS Machine Learning - AI

NOVEMBER 6, 2024

By using Streamlit and AWS services, data scientists can focus on their core expertise while still delivering secure, scalable, and accessible applications to business users. Prerequisites As a prerequisite, you need to enable model access in Amazon Bedrock and have access to a Linux or macOS development environment.

Generative AI 119

Generative AI AWS Artificial Inteligence Applications 119

OverOps

APRIL 23, 2019

This was thanks to many concerns surrounding security, performance, compliance and costs. Experts in the field recommend using cloud bursting for non-critical, high-performance applications that handle non-sensitive information. Higher Level of Control Over Big Data Analytics. A Technology Safe Harbor.

Cloud 189

Cloud Data Center Architecture AWS 189

AWS Machine Learning - AI

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise.

Serverless 117

Serverless AWS Artificial Inteligence Big Data 117

OTS Solutions

OCTOBER 10, 2023

also known as the Fourth Industrial Revolution, refers to the current trend of automation and data exchange in manufacturing technologies. It encompasses technologies such as the Internet of Things (IoT), artificial intelligence (AI), cloud computing , and big data analytics & insights to optimize the entire production process.

Artificial Inteligence 147

Artificial Inteligence Mobile Industry Cloud 147

Cloudera

SEPTEMBER 2, 2021

Traditional scheduling solutions used in big data tools come with several drawbacks. YuniKorn’s Gang scheduling and bin-packing help boost autoscaling performance and improve resource utilization. YuniKorn’s Gang scheduling and bin-packing help boost autoscaling performance and improve resource utilization.

Data Engineering 85

Data Engineering Performance Engineering Data 85

RapidValue

APRIL 20, 2020

Traditional load balancing solutions believe in proprietary hardware housed during a data center, and need a team of sophisticated IT personnel to put in, tune, and maintain the system. Only large companies with big IT budgets can reap the advantages of improved performance and reliability. Fortunately, software?based

Load Balancer 80

Load Balancer Resources Cloud Performance 80

CIO

MAY 10, 2024

Having emerged in the late 1990s, SOA is a precursor to microservices but remains a skill that can help ensure software systems remain flexible, scalable, and reusable across the organization. Because of this, NoSQL databases allow for rapid scalability and are well-suited for large and unstructured data sets.

SOA 195

SOA Linux Video Architecture 195

Hacker Earth Developers Blog

JANUARY 22, 2020

This can be attributed to the fact that Java is widely used in industries such as financial services, Big Data, stock market, banking, retail, and Android. A great performance benefit of ReactJS is its ability to update virtual DOM. It is ridiculously fast, reassuringly secure, and exceedingly scalable. .

Technical Review 216

Technical Review Artificial Inteligence Machine Learning Software Review 216

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. is changing the way maintenance is performed. and Big Data Analytics in Predictive Maintenance Industry 4.0 Impact of Industry 4.0

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Instaclustr

APRIL 20, 2023

Here’s a photo I took in Berlin of a very old machine that has a similar architecture; I’ll reveal what it does later. (Source: Paul Brebner) Partitions and Consumers In common with other modern Big Data platforms, Kafka achieves unlimited horizontal scalability by partitioning data across multiple nodes in a cluster.

Scalability 57

Scalability Performance Software Review Groups 57

Capgemini

NOVEMBER 21, 2024

This will empower businesses and accelerate the time to market by creating: A data asset which supports business self-service, data science, and shadow IT Technology enabled scalability, cross self-service, shadow IT, data science, and IT industrialized solutions.

Data 52

Data Government Innovation Architecture 52

OTS Solutions

NOVEMBER 26, 2023

Multi-cloud is important because it reduces vendor lock-in and enhances flexibility, scalability, and resilience. By diversifying cloud services, organizations can optimize performance, access innovative technologies, mitigate risks, and cost-effectively meet their specific business needs. transformation?

Strategy 130

Strategy Cloud Technical Review Development Team Review 130

Infinidat

MARCH 10, 2021

With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

Dell EMC

APRIL 19, 2019

Between organizing, cleaning and labeling data, selecting the right neural network topology, picking the right hyperparameters, and then waiting – hoping – that the model produced is accurate enough to put into production. It can seem like an impossible puzzle for your data science team to solve. Deep learning is hard.

Scalability 92

Scalability Operating System Training Infrastructure 92

CIO

OCTOBER 18, 2023

To do so, the team had to overcome three major challenges: scalability, quality and proactive monitoring, and accuracy. The opportunity to predict IDH during a dialysis treatment is one of several building blocks to transform our company into the world of the Internet of Things, big data, and artificial intelligence,” he says.

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

CIO

AUGUST 18, 2023

However, to make the most of these, we needed a sensor cloud to aggregate large volumes of data, perform real-time monitoring of the data, and analyze results in new ways to explore potential innovations. Lilly’s IT team explored the marketplace for a scalable, near-term solution that aligned with the pharmaceutical’s needs. “The

Cloud 148

Cloud Pharmaceuticals Study Off-The-Shelf 148

Perficient

MARCH 27, 2025

This could provide both cost savings and performance improvements. With a soft delete, deletion vectors are marked rather than physically removed, which is a performance boost. There is a catch once we consider data deletion within the context of regulatory compliance. What Are Deletion Vectors?

Compliance 64

Compliance Systems Review Policies Storage 64

Agile Engine

DECEMBER 27, 2023

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7. Table of contents 1.

Big Data 52

Big Data Analytics Data Analysis 52

Cloudera

APRIL 22, 2021

Storage plays one of the most important roles in the data platforms strategy, it provides the basis for all compute engines and applications to be built on top of it. Businesses are also looking to move to a scale-out storage model that provides dense storages along with reliability, scalability, and performance.

Data 101

Data Storage Architecture Big Data 101

CIO

FEBRUARY 6, 2023

Executive leaders of small businesses and startups frequently lament that they lack the same access to data and insights that enterprise competitors and other more entrenched players enjoy. They can then use this data to measure the company’s sales performance and predict future outcomes. How, you ask?

Business Intelligence 137

Business Intelligence Small Business Weak Development Team Analytics 137

CIO

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Innovation 153

Innovation Artificial Inteligence Data Serverless 153