CIO Business Intelligence

OCTOBER 20, 2023

After all, an effective multicloud framework offers greater platform and service flexibility by leveraging the strengths of multiple cloud environments to drive business agility and innovation. It offers a unified cloud experience while retaining the flexibility to run workloads separately, optimised for the preferred environment.

Software 122

Software Management Data Processing Technology 122

CIO Business Intelligence

APRIL 10, 2024

As with many data-hungry workloads, the instinct is to offload LLM applications into a public cloud, whose strengths include speedy time-to-market and scalability. As people frequent e-commerce or streaming platforms, the AI models track the interactions, “learning” what people prefer to purchase or watch.

Cost-Benefit 126

Cost-Benefit Modeling Strategy Interactive 126

O'Reilly on Data

AUGUST 18, 2020

We see trends shifting towards focused best-of-breed platforms. That is, products that are laser-focused on one aspect of the data science and machine learning workflows, in contrast to all-in-one platforms that attempt to solve the entire space of data workflows. Lessons Learned from Data Warehouse and Data Engineering Platforms.

Data Science 355

Data Science Machine Learning Data Warehouse Deep Learning 355

CIO Business Intelligence

DECEMBER 21, 2023

However, securing the cloud traffic from these workloads is a complex task, as cloud adoption increases, and the number of mission-critical workloads spread across multiple cloud providers. One of the most significant areas that organizations are revisiting is secure cloud and workload connectivity.

Cost-Benefit 91

Cost-Benefit Enterprise Management IT 91

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. The duration set for the POC depends on factors like workload complexity and resource availability.

Testing 98

Testing Data Warehouse Metrics Cost-Benefit 98

AWS Big Data

DECEMBER 21, 2023

The Data Platform team is responsible for supporting data-driven decisions at smava by providing data products across all departments and branches of the company. The data platform serves on average 60 thousand queries per day. The following diagram shows the high-level data platform architecture before the optimizations.

Data Lake 87

Data Lake Data Warehouse Data-driven B2B 87

CIO Business Intelligence

MARCH 18, 2024

Maximize performance Look for servers equipped with the most advanced CPUs or GPUs optimized for AI workloads. Maximize data storage AI workloads demand vast amounts of data. Asses the processors to ensure they meet the compute demands of your AI algorithms.

Optimization 125

Optimization Software Enterprise Modeling 125

CIO Business Intelligence

APRIL 25, 2024

Combining IBM’s portfolio and expertise with HashiCorp’s capabilities and talent will create a comprehensive hybrid cloud platform designed for the AI era.” Combining IBM’s existing cloud solutions with HashiCorp’s infrastructure automation tools is expected to create a robust platform for managing hybrid and multi-cloud environments.

Marketing 107

Marketing Enterprise Consulting Management 107

CIO Business Intelligence

FEBRUARY 12, 2024

The State of Java Survey and Report revealed that organizations are already employing a number of tactics to address skyrocketing computing costs in the cloud, including right-sizing resources (48%), using a high-performance Java platform that uses cloud resources more efficiently (46%), and re-architecting applications (41%).

Optimization 106

Optimization Cost-Benefit Digital Transformation Reporting 106

IBM Big Data Hub

APRIL 5, 2024

For example, HPC offers high levels of computational power and scalability, crucial for running performance-intensive workloads. Similarly, AI enables organizations to process workloads more efficiently and intelligently. In the era of gen AI and hybrid cloud, IBM Cloud® HPC brings the computing power organizations need to thrive.

Manufacturing 69

Manufacturing Testing Enterprise Modeling 69

IBM Big Data Hub

MARCH 21, 2024

However, the success of AI initiatives heavily depends on the underlying infrastructure’s ability to support demanding workloads efficiently. In this blog, we’ll explore seven key strategies to optimize infrastructure for AI workloads, empowering organizations to harness the full potential of AI technologies.

Optimization 66

Optimization Software Data-driven Consulting 66

CIO Business Intelligence

FEBRUARY 27, 2023

Forrester’s Infrastructure Cloud Survey 2022 reveals that cloud decision-makers have implemented containerized applications that account for half of the total workloads in their organizations. Even then, companies will have a blend of VM-centered workloads alongside containerized workloads.”

Cost-Benefit 135

Cost-Benefit Digital Transformation Strategy Software 135

AWS Big Data

FEBRUARY 12, 2024

Gupshup is a leading conversational messaging platform, powering over 10 billion messages per month. Objective Gupshup wanted to build a messaging analytics platform that provided: Build a platform to get detailed insights, data, and reports about WhatsApp/SMS campaigns and track the success of every text message sent by the end customers.

Data Warehouse 98

Data Warehouse Analytics Snapshot Cost-Benefit 98

Cloudera

FEBRUARY 1, 2024

Implementing the right platform is half the battle won — so congratulations on your choosing Cloudera’s industry-leading hybrid data platform for building your data solutions on a foundation of trusted data. Status indicators at the component level that illustrate the state of the platform: healthy, warning, and critical.

Optimization 82

Optimization Measurement Testing Publishing 82

AWS Big Data

NOVEMBER 14, 2023

Today, tens of thousands of customers run business-critical workloads on Amazon Redshift. Amazon Redshift Serverless makes it effortless to run and scale analytics workloads without having to manage any data warehouse infrastructure. Their cluster was deployed with 8 nodes ra3.4xlarge and concurrency scaling enabled.

Data Warehouse 59

Data Warehouse Analytics Testing Cost-Benefit 59

Cloudera

MARCH 22, 2023

Over the past handful of years, systems architecture has evolved from monolithic approaches to applications and platforms that leverage containers, schedulers, lambda functions, and more across heterogeneous infrastructures. And, crucial for a hybrid data platform, it does so across hybrid cloud.

Metrics 85

Metrics Data Governance Cost-Benefit Dashboards 85

AWS Big Data

MARCH 12, 2024

Our findings reveal significant benefits, including over 60% cost reduction, 50% faster Spark workloads, a remarkable five-times improvement in development and testing speed, and a significant reduction in our carbon footprint. By early 2022, we successfully migrated our big data workloads to EMR on EC2.

Cost-Benefit 91

Cost-Benefit Optimization Big Data Metrics 91

IBM Big Data Hub

FEBRUARY 5, 2024

In short, enterprises typically migrate workloads to cloud to improve operational performance and agility, workload scalability and security. It’s important to carefully examine which workloads are most appropriate for cloud and avoid selecting applications to run in cloud that might be better suited on-premises.

Management 70

Management Cost-Benefit Strategy Risk 70

CIO Business Intelligence

MARCH 19, 2024

VMware Cloud Foundation – A Platform for Agility, Innovation, and Resiliency Like Broadcom, VMware has a remarkable history of innovation. Many major brands and Fortune 500 companies run their mission-critical workloads on VMware software. VMware Cloud Foundation , or VCF, is our platform for innovation going forward.

Cost-Benefit 92

Cost-Benefit Software Finance Marketing 92

CIO Business Intelligence

JANUARY 30, 2024

Generative AI can help alleviate some of that workload by automating the grading process for various assignments and assessments. Language learning platforms are also a product of generative AI. The platforms provide realistic conversations, pronunciation, and language-specific exercises and experiences for language arts students.

Unstructured Data 90

Unstructured Data Data-driven Risk Technology 90

CIO Business Intelligence

MARCH 29, 2024

Today, 60% to 70% of Rocket’s workloads run on the cloud, with more than 95% of those workloads in AWS. Despite being primarily an AWS shop, Rocket has taken a model-agnostic approach to generative AI platforms. The rest are on premises. We want to be able to plug in the right model at the right time. It’s a powerful strategy.”

Data Lake 117

Data Lake Machine Learning Data Warehouse Unstructured Data 117

Paul Turley

MARCH 18, 2024

These technologies, significantly different from the SQL Server suite of products I've known and loved for the past twenty years, represent a major shift in direction, forming the backbone of OneLake; Microsoft's universal integrated data platform that hosts all the components comprising Fabric.

Data Warehouse 113

Data Warehouse Data Processing Reporting Technology 113

AWS Big Data

OCTOBER 30, 2023

Spark on AWS Lambda (SoAL) is a framework that runs Apache Spark workloads on AWS Lambda. It’s designed for both batch and event-based workloads, handling data payload sizes from 10 KB to 400 MB. When compared to Apache Spark cluster mode, local mode provides faster initialization and better performance for small analytics workloads.

Cost-Benefit 119

Cost-Benefit Enterprise Data Processing Optimization 119

CIO Business Intelligence

FEBRUARY 5, 2024

We are adopting Private Cloud Technology to meet these needs, with Oracle Exadata Cloud at Customer (ExaCC) being a pivotal technology solution for our database workload. Our platforms like Neo and NeoBiz are designed to be quick to respond to what the market needs.

IT 113

IT Digital Transformation Cost-Benefit Technology 113

AWS Big Data

MARCH 20, 2024

This improves data security and compliance with analytics workloads. Save on storage costs and manage analytics workloads by replicating tables required for specific use cases Operational databases often contain many different datasets that aren’t useful for analytics. This can improve performance and lower overall cost.

Data Warehouse 121

Data Warehouse Business Driver Data Lake Data-driven 121

AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads.

Management 93

Management Data Warehouse Metrics Dashboards 93

CIO Business Intelligence

APRIL 11, 2024

But with Amazon Web Services (31%), Microsoft Azure (24%), and Google Cloud Platform (11%) accounting for two thirds of the worldwide market, according to Synergy Research Group, Oracle Cloud Infrastructure (OCI) remains distantly behind the behemoths, leaving many to question whether Oracle’s cloud gains are enough to make it a contender.

Enterprise 119

Enterprise IT Data Processing Strategy 119

IBM Big Data Hub

DECEMBER 18, 2023

As enterprises look to address these requirements and achieve growth while adopting innovative AI and hybrid cloud technologies, IBM will continue to meet clients wherever they are in their journeys by helping them make workload placement decisions based on resiliency, performance, security, compliance and cost.

Digital Transformation 68

Digital Transformation Risk Data Processing Enterprise 68

CIO Business Intelligence

FEBRUARY 14, 2024

CIOs need to do all the things to make AI workloads run well and in a disciplined and hygienic way,” he says. It also means many more machine identities to manage, says Murali Palanisamy, chief solutions officer at IAM platform provider AppViewX. Managing Copilot isn’t just about permissions management,” he adds.

IT 142

IT Metadata Data-driven Management 142

CIO Business Intelligence

MAY 5, 2022

Businesses are investing substantial funds and efforts into migrating workloads from on-premises infrastructure to public clouds, in part motivated by the hypothesis that, once cloud-based, those workloads will be relatively easy to move from one cloud provider to another. Unfortunately, the reality is unlikely to be so simple.

Optimization 92

Optimization Software Management IT 92

Cloudera

OCTOBER 4, 2023

Different data streams will have different characteristics, and having a platform flexible enough to adapt, with things like flexible partitioning for example, will be essential in adapting to different source volume characteristics. We get optimized price/performance on complex workloads over massive scale data.

Data Warehouse 85

Data Warehouse Experimentation Cost-Benefit Dashboards 85

CIO Business Intelligence

MARCH 13, 2023

“We have hundreds of applications that we’re in the process of moving to the cloud but a lot of our main capabilities are underpinned by workloads on the mainframe and it’s definitely with us for the foreseeable future.” Best of both worlds As part of its cloud strategy, Delta has been moving many analytical workloads and data to the cloud.

Digital Transformation 98

Digital Transformation Strategy Interactive Management 98

AWS Big Data

NOVEMBER 2, 2023

We achieved 23.85% improvement in price-performance for sample production Spark workloads—an outcome that holds tremendous potential for businesses striving to maximize their computing efficiency. As a part of this vision, GoDaddy’s Data & ML Platform team plans to use EMR Serverless as one of the compute solutions under the hood.

Cost-Benefit 87

Cost-Benefit Big Data Testing Optimization 87

CIO Business Intelligence

SEPTEMBER 14, 2022

Migrating workloads can involve several steps that require a thorough planning effort, spanning different functions across the organization such as application developers, IT operations, business operations, and cyber security. Consistency across their platforms is hardly a priority for the major cloud services providers.

Digital Transformation 92

Digital Transformation Cost-Benefit Optimization Strategy 92

Cloudera

OCTOBER 30, 2023

The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications. Cloudera FinOps Capabilities CDP is a cloud-native platform helping companies accelerate cloud adoption to run their data and analytics workloads.

Analytics 75

Analytics Cost-Benefit ROI Business Objectives 75

CIO Business Intelligence

DECEMBER 19, 2023

In large part because of this need, Gartner coined the phrase security service edge ( SSE ) to describe edge-delivered security platforms that provide secure web gateway ( SWG ), zero trust network access ( ZTNA ), cloud access security broker ( CASB ), digital experience monitoring ( DEM ), and other functionalities.

B2B 85

B2B IoT Internet of Things Modeling 85

IBM Big Data Hub

JANUARY 10, 2024

Red Hat OpenShift Container Platform (RH OCP) has emerged as a leading solution for supporting the application development lifecycle, provisioning and managing container images and workloads into a platform for containerized applications and ecosystem.

Data Processing 76

Data Processing Risk Modeling Cost-Benefit 76