CIO Business Intelligence

OCTOBER 16, 2023

Upchurch is an accomplished IT executive with more than 24 years of experience leading global managed hosting, managed application, cloud, and SaaS organizations. Going back after the fact to optimize for cost while you’re still trying to operate and grow can make things even harder.” Cloud Computing

Optimization 140

Optimization Enterprise Finance Data Processing 140

Cloudera

NOVEMBER 13, 2024

Large Language Models (LLMs) will be at the core of many groundbreaking AI solutions for enterprise organizations. Here are just a few examples of the benefits of using LLMs in the enterprise for both internal and external use cases: Optimize Costs. The Need for Fine Tuning Fine tuning solves these issues.

Cost-Benefit 87

Cost-Benefit Data Processing Machine Learning Testing 87

CIO Business Intelligence

MARCH 25, 2025

Using the companys data in LLMs, AI agents, or other generative AI models creates more risk. Build up: Databases that have grown in size, complexity, and usage build up the need to rearchitect the model and architecture to support that growth over time. Playing catch-up with AI models may not be that easy.

Risk 123

Risk Cost-Benefit Data-driven Digital Transformation 123

CIO Business Intelligence

OCTOBER 9, 2024

However, this enthusiasm may be tempered by a host of challenges and risks stemming from scaling GenAI. Depending on your needs, large language models (LLMs) may not be necessary for your operations, since they are trained on massive amounts of text and are largely for general use.

Strategy 143

Strategy Modeling Management Data Lake 143

CIO Business Intelligence

JULY 22, 2024

As a result, organizations were unprepared to successfully optimize or even adequately run their cloud deployments and manage costs, prompting their move back to on-prem. CIOs also now can consider edge computing and micro data centers as alternatives to traditional dedicated data centers, cloud, and aaS models. a private cloud).

Optimization 128

Optimization Strategy IT Cost-Benefit 128

datapine

DECEMBER 11, 2019

SaaS is a software distribution model that offers a lot of agility and cost-effectiveness for companies, which is why it’s such a reliable option for numerous business models and industries. AI optimizes business processes, increasing productivity and efficiency while automating repetitive tasks and supporting human capabilities.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

AWS Big Data

APRIL 17, 2024

Amazon OpenSearch Service recently introduced the OpenSearch Optimized Instance family (OR1), which delivers up to 30% price-performance improvement over existing memory optimized instances in internal benchmarks, and uses Amazon Simple Storage Service (Amazon S3) to provide 11 9s of durability.

Optimization 128

Optimization Snapshot Metadata Cost-Benefit 128

CIO Business Intelligence

NOVEMBER 19, 2024

Mitigating infrastructure challenges Organizations that rely on legacy systems face a host of potential stumbling blocks when they attempt to integrate their on-premises infrastructure with cloud solutions. Intel’s cloud-optimized hardware accelerates AI workloads, while SAS provides scalable, AI-driven solutions.

Analytics 97

Analytics Cost-Benefit Finance Data-driven 97

CIO Business Intelligence

MARCH 19, 2025

Meanwhile, in December, OpenAIs new O3 model, an agentic model not yet available to the public, scored 72% on the same test. Were developing our own AI models customized to improve code understanding on rare platforms, he adds. The data is kept in a private cloud for security, and the LLM is internally hosted as well.

Software 143

Software Risk Enterprise Cost-Benefit 143

CIO Business Intelligence

NOVEMBER 4, 2024

However, enterprise cloud computing still faces similar challenges in achieving efficiency and simplicity, particularly in managing diverse cloud resources and optimizing data management. AI models rely on vast datasets across various locations, demanding AI-ready infrastructure that’s easy to implement across core and edge.

Finance 89

Finance Sales Reporting Optimization 89

Smart Data Collective

JULY 20, 2022

A growing number of businesses use big data technology to optimize efficiency. While there are various interpretations or models to address such problems, Lean Thinking can contribute to the implementation of more optimal projects for a business. Data-driven decision-making has become a major element of modern business.

Data-driven 133

Data-driven Optimization Big Data Data Strategy 133

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. The applications are hosted in dedicated AWS accounts and require a BI dashboard and reporting services based on Tableau.

IoT 111

IoT Machine Learning Metadata Data-driven 111

Cloudera

DECEMBER 4, 2024

To unlock the full potential of AI, however, businesses need to deploy models and AI applications at scale, in real-time, and with low latency and high throughput. The Cloudera AI Inference service is a highly scalable, secure, and high-performance deployment environment for serving production AI models and related applications.

Metrics 73

Metrics Data Processing Machine Learning Deep Learning 73

DataRobot

JULY 27, 2021

In a global marketplace where decision-making needs to happen with increasing velocity, data science teams often need not only to speed up their modeling deployment but also do it at scale across their entire enterprise. This allows for the pipelining of incredibly complex inference models.

Optimization 98

Optimization Modeling Machine Learning Deep Learning 98

AWS Big Data

NOVEMBER 27, 2024

dbt Cloud is a hosted service that helps data teams productionize dbt deployments. This enables the line of business (LOB) to better understand their core business drivers so they can maximize sales, reduce costs, and further grow and optimize their business. Create dbt models in dbt Cloud. Deploy dbt models to Amazon Redshift.

Data Warehouse 109

Data Warehouse Analytics Testing Modeling 109

CIO Business Intelligence

NOVEMBER 16, 2023

A large language model (LLM) is a type of gen AI that focuses on text and code instead of images or audio, although some have begun to integrate different modalities. But there’s a problem with it — you can never be sure if the information you upload won’t be used to train the next generation of the model. It’s not trivial,” she says.

Modeling 139

Modeling Enterprise Sales Marketing 139

Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. Across the industry, the pandemic caused a huge breakdown in model performance due to the change in macroeconomic conditions and government stimulus packages. Observe what the model has to offer even if not the intended output.

Risk 100

Risk Optimization Management Insurance 100

CIO Business Intelligence

NOVEMBER 1, 2024

It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized. Several co-location centers host the remainder of the firm’s workloads, and Marsh McLennans big data centers will go away once all the workloads are moved, Beswick says. The platform include custom plug-ins to Word, Outlook, and PowerPoint.

IT 122

IT Insurance Consulting Risk 122

CIO Business Intelligence

FEBRUARY 1, 2023

As organizations of all stripes continue their migration to the cloud, they are coming face to face with sometimes perplexing cost issues, forcing them to think hard about how best to optimize workloads, what to migrate, and who exactly is responsible for what. It’s an issue that’s coming to the fore with the steady migration to the cloud.

Optimization 111

Optimization Cost-Benefit Consulting Strategy 111

datapine

SEPTEMBER 27, 2022

Some of these ‘structures’ may include putting all the information; for instance, a structure could be about cars, placing them into tables that consist of makes, models, year of manufacture, and color. 14) “High-Performance MySQL: Optimization, Backups, and Replication” by Baron Schwartz, Peter Zaitsev, and Vladimir Tkachenko.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. For machine learning systems used in consumer internet companies, models are often continuously retrained many times a day using billions of entirely new input-output pairs.

Management 363

Management Machine Learning Experimentation Metrics 363

AWS Big Data

DECEMBER 5, 2024

As the use of Hydro grows within REA, it’s crucial to perform capacity planning to meet user demands while maintaining optimal performance and cost-efficiency. In each environment, Hydro manages a single MSK cluster that hosts multiple tenants with differing workload requirements. Khizer Naeem is a Technical Account Manager at AWS.

Metrics 95

Metrics Dashboards Testing Optimization 95

datapine

MAY 2, 2023

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. This isn’t just valuable for the customer – it allows logistics companies to see patterns at play that can be used to optimize their delivery strategies.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

CIO Business Intelligence

NOVEMBER 1, 2024

It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized. Several co-location centers host the remainder of the firm’s workloads, and Marsh McLellan’s big data centers will go away once all the workloads are moved, Beswick says. Marsh McLellan created an AI Academy for training all employees.

IT 105

IT Insurance Consulting Risk 105

Ontotext

JULY 24, 2023

I did some research because I wanted to create a basic framework on the intersection between large language models (LLM) and data management. But there are also a host of other issues (and cautions) to take into consideration. LLM is by its very design a language model. The technology is very new and not well understood.

Modeling 98

Modeling Management Structured Data Data Architecture 98

IBM Big Data Hub

APRIL 26, 2024

As large language models (LLMs) have entered the common vernacular, people have discovered how to use apps that access them. However, there are smaller models that have the potential to innovate gen AI capabilities on mobile devices. Let’s examine these solutions from the perspective of a hybrid AI model.

Modeling 83

Modeling Data Processing Cost-Benefit Manufacturing 83

Jet Global

NOVEMBER 20, 2024

Organizations can now streamline digital transformations with Logi Symphony on Google Cloud, utilizing BigQuery, the Vertex AI platform and Gemini models for cutting-edge analytics RALEIGH, N.C. –

Analytics 59

Analytics Digital Transformation Business Intelligence Data-driven 59

CIO Business Intelligence

MAY 23, 2022

Many companies whose AI model training infrastructure is not proximal to their data lake incur steeper costs as the data sets grow larger and AI models become more complex. The cloud is great for experimentation when data sets are smaller and model complexity is light. Potential headaches of DIY on-prem infrastructure.

Experimentation 137

Experimentation Cost-Benefit Data Lake Data Science 137

AWS Big Data

OCTOBER 25, 2023

To optimize S3 storage costs, create a lifecycle configuration on the S3 bucket to transition the VPC flow logs to different tiers or expire processed logs. Also, a prefix is added to help with partitioning and query optimization when reading a collection of files using Athena.

Analytics 134

Analytics Data Processing Optimization Metrics 134

CIO Business Intelligence

MARCH 18, 2024

They’re split into two main categories — Nvidia NIM, which covers microservices related to deploying production AI models, and CUDA-X, for microservices like cuOpt, the company’s optimization engine. A host of further integrations is also coming to AI Enterprise 5.0, the company said. Nvidia’s AI Enterprise 5.0

Enterprise 98

Enterprise Data Processing Optimization Modeling 98

CIO Business Intelligence

AUGUST 16, 2023

ChatGPT is capable of doing many of these tasks, but the custom support chatbot is using another model called text-embedding-ada-002, another generative AI model from OpenAI, specifically designed to work with embeddings—a type of database specifically designed to feed data into large language models (LLM).

Modeling 98

Modeling Enterprise Cost-Benefit Data Science 98

CIO Business Intelligence

MARCH 19, 2025

Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

IT 59

IT Data Governance Data-driven Metrics 59

CIO Business Intelligence

APRIL 10, 2024

The company needs massive computing power with CPUs and GPUs that are optimized for AI development, says Clark, adding that Seekr looked at the infrastructure it would need to build and train its huge AI models and quickly determined that buying and maintaining the hardware would be prohibitively expensive. Clark says.

IT 119

IT Testing Optimization Modeling 119

CIO Business Intelligence

NOVEMBER 27, 2023

On top of that, Gen AI, and the large language models (LLMs) that power it, are super-computing workloads that devour electricity.Estimates vary, but Dr. Sajjad Moazeni of the University of Washington calculates that training an LLM with 175 billion+ parameters takes a year’s worth of energy for 1,000 US households. Not at all.

Risk 132

Risk Cost-Benefit Modeling Optimization 132

Cloudera

OCTOBER 19, 2022

Telco industry executives Jinsoo Jang of LG Uplus and Patrick de Vries of KPN spoke at a Modern Data Architecture for Telco lunch, hosted by Cloudera. We demonstrated AI@Scale, focusing on the need for ML Ops to support AI model governance automation, which allows more models to be deployed concurrently and across ever larger data sets.

Optimization 78

Optimization Data Architecture Data Governance B2B 78

CIO Business Intelligence

JUNE 20, 2024

Additionally, it enables edge-network localization to segment traffic, optimize network performance, and eliminate bottlenecks. This comprehensive set of features and capabilities ensures optimal performance for a wide range of workloads and applications. The interoperability inherent in the FlexAnywhere Platform reflects that.”

Enterprise 119

Enterprise Data Processing Optimization Technology 119

Cloudera

JANUARY 24, 2023

First, it needed customized engagement models that would improve the customer experience. This includes decisions around the optimal amount of cash in every bank’s ATM, or proactively classifying every digital transaction as fraud/non-fraud, which are now driven through data and AI.

Optimization 80

Optimization Data Analytics Analytics IT 80