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

FEBRUARY 14, 2023

Kevin Grayling, CIO, Florida Crystals Florida Crystals It’s ASR that had the more modern SAP installation, S/4HANA 1709, running in a virtual private cloud hosted by Virtustream, while its parent languished on SAP Business Suite. One of those requirements was to move out of its hosting provider data center and into a hyperscaler’s cloud.

Data Processing 98

Data Processing Cost-Benefit Testing Finance 98

O'Reilly on Data

JANUARY 17, 2023

Building Models. A common task for a data scientist is to build a predictive model. You’ll try this with a few other algorithms, and their respective tuning parameters–maybe even break out TensorFlow to build a custom neural net along the way–and the winning model will be the one that heads to production.

Machine Learning 363

Machine Learning Predictive Modeling Software Modeling 363

CIO Business Intelligence

JUNE 13, 2024

Not instant perfection The NIPRGPT experiment is an opportunity to conduct real-world testing, measuring generative AI’s computational efficiency, resource utilization, and security compliance to understand its practical applications. For now, AFRL is experimenting with self-hosted open-source LLMs in a controlled environment.

Testing 119

Testing Experimentation Data Processing Modeling 119

AWS Big Data

NOVEMBER 27, 2024

dbt Cloud is a hosted service that helps data teams productionize dbt deployments. After the data is in Amazon Redshift, dbt models are used to transform the raw data into key metrics such as ticket trends, seller performance, and event popularity. Create dbt models in dbt Cloud. Deploy dbt models to Amazon Redshift.

Data Warehouse 94

Data Warehouse Analytics Testing Modeling 94

CIO Business Intelligence

DECEMBER 11, 2024

We are now deciphering rules from patterns in data, embedding business knowledge into ML models, and soon, AI agents will leverage this data to make decisions on behalf of companies. If a model encounters an issue in production, it is better to return an error to customers rather than provide incorrect data.

Management 111

Management Data Governance Data Science Reporting 111

DataKitchen

NOVEMBER 29, 2021

Model developers will test for AI bias as part of their pre-deployment testing. Quality test suites will enforce “equity,” like any other performance metric. Continuous testing, monitoring and observability will prevent biased models from deploying or continuing to operate. Companies Commit to Remote.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

Occam's Razor

MAY 22, 2006

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers.

Experimentation 103

Experimentation Testing Optimization Measurement 103

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

datapine

APRIL 15, 2020

Your Chance: Want to test an agile business intelligence solution? Business intelligence is moving away from the traditional engineering model: analysis, design, construction, testing, and implementation. In the traditional model communication between developers and business users is not a priority. Finalize testing.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

CDW Research Hub

JUNE 23, 2020

As virtual desktop infrastructure (VDI) gains popularity among enterprises across multiple industries, and with many desktops migrating to the cloud, testing your virtual desktop environment has never been so important. Here are three reasons why testing is so important before setting up a virtual desktop environment.

Testing 92

Testing Strategy Data Processing Enterprise 92

AWS Big Data

DECEMBER 5, 2024

In each environment, Hydro manages a single MSK cluster that hosts multiple tenants with differing workload requirements. To address this, we used the AWS performance testing framework for Apache Kafka to evaluate the theoretical performance limits. The following figure shows an example of a test cluster’s performance metrics.

Metrics 79

Metrics Dashboards Testing Optimization 79

Smart Data Collective

JUNE 15, 2021

However, it is important to make sure that you understand the potential role of AI and what business model to build around it. However, even the most brilliant idea built around AI technology can fail without a proper business model. Without a good business model, you won’t understand customer needs and how to build your startup.

Modeling 116

Modeling Advertising Cost-Benefit Machine Learning 116

AWS Big Data

FEBRUARY 7, 2025

DeepSeek-R1 is a powerful and cost-effective AI model that excels at complex reasoning tasks. You can use the flexible connector framework and search flow pipelines in OpenSearch to connect to models hosted by DeepSeek, Cohere, and OpenAI, as well as models hosted on Amazon Bedrock and SageMaker.

Data Processing 69

Data Processing Dashboards Modeling Statistics 69

CIO Business Intelligence

JANUARY 7, 2025

This new paradigm of the operating model is the hallmark of successful organizational transformation. WALK: Establish a strong cloud technical framework and governance model After finalizing the cloud provider, how does a business start in the cloud? You would be surprised, but a lot of companies still just start without having a plan.

Optimization 98

Optimization Strategy Cost-Benefit Enterprise 98

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

Smart Data Collective

AUGUST 30, 2022

It also allows companies to offload large amounts of data from their networks by hosting it on remote servers anywhere on the globe. The model enables easy transfer of cloud services between different geographic regions, either onshore or offshore. Testing new programs. Multi-cloud computing. Centralized data storage.

Technology 140

Technology Enterprise Cost-Benefit Data Processing 140

IBM Big Data Hub

SEPTEMBER 7, 2023

Today we are announcing our latest addition: a new family of IBM-built foundation models which will be available in watsonx.ai , our studio for generative AI, foundation models and machine learning. Collectively named “Granite,” these multi-size foundation models apply generative AI to both language and code.

Modeling 101

Modeling Risk Unstructured Data Enterprise 101

CIO Business Intelligence

JULY 1, 2024

Medium-sized companies are actively experimenting with and developing AI models, while small companies, often constrained by resources, show the highest percentage not actively considering GenAI. The survey reveals that cost is the least important factor, suggesting a willingness to invest in high-quality, reliable models.

Testing 125

Testing Data Processing Modeling Data-driven 125

CIO Business Intelligence

SEPTEMBER 9, 2022

“Organisations still struggle to connect the algorithms they are building to a business value proposition, which makes it difficult for IT and business leadership to justify the investment it requires to operationalise models.”. AI Test Drive functions as an effective AI-as-a-Service solution, and it is already demonstrating strong results.

Testing 144

Testing Data Processing Machine Learning Business Intelligence 144

Smart Data Collective

NOVEMBER 7, 2022

AWS Cloud is a suite of hosting products used by such services as Dropbox, Reddit, and others. You can use it instead of a private hosting (or dedicated hosting). We talked about the benefits of using AWS for SaaS business models , but it can help with many other businesses too. EC2 is not a traditional hosting solution.

Enterprise 130

Enterprise Data Processing Cost-Benefit Snapshot 130

O'Reilly on Data

APRIL 22, 2020

For example, payday lending businesses are no doubt compliant with the law, but many aren’t models for good corporate citizenship. There aren’t simple standards and tests for ethical behavior, nor are you as likely to be called into court for acting unethically. Ethics is much more slippery.

Cost-Benefit 312

Cost-Benefit Finance Data-driven Strategy 312

AWS Big Data

NOVEMBER 17, 2023

It also applies general software engineering principles like integrating with git repositories, setting up DRYer code, adding functional test cases, and including external libraries. For more information, refer SQL models. When you run dbt test , dbt will tell you if each test in your project passes or fails.

Snapshot 104

Snapshot Data Processing Testing Data Warehouse 104

CIO Business Intelligence

MAY 14, 2024

Private cloud providers may be among the key beneficiaries of today’s generative AI gold rush as, once seemingly passé in favor of public cloud, CIOs are giving private clouds — either on-premises or hosted by a partner — a second look. You don’t want a mistake to happen and have it end up ingested or part of someone else’s model.

IT 143

IT Data Processing Enterprise Modeling 143

Sisense

MARCH 2, 2020

Introducing the Sisense Data Model APIs. The new Sisense Data Model APIs extend the capabilities provided by the Sisense REST APIs. Builders will be able to programmatically create and modify Sisense Data Models using fully RESTful and JSON-based APIs. You may be asking “What’s a Sisense Data Model, exactly?”

Modeling 87

Modeling Data-driven Dashboards Testing 87

Cloudera

OCTOBER 20, 2021

Stress testing was heavily scrutinized in the post 2008 financial crisis. In a BIS advisory report , it was highlighted that the stress testing scenarios used by the banks were insufficient to capture the extreme risks and fluctuations that were realized. Transition : the changes in asset values, business models, etc. (ex.

Risk 80

Risk Modeling Risk Management Measurement 80

Smart Data Collective

FEBRUARY 3, 2022

A virtual machine allows a single machine to have more than one operating systems by running a host operating system and installing the guest operating systems on top of it. Rather, you install Docker software on the host operating system. Once your code is ready, and your model is working as expected, create your Docker image file.

Data Science 133

Data Science Data Processing Testing Big Data 133

CIO Business Intelligence

NOVEMBER 16, 2022

Brown recently spoke with CIO Leadership Live host Maryfran Johnson about advancing product features via sensor data, accelerating digital twin strategies, reinventing supply chain dynamics and more. So end to end, our strategic priority has stood the test of time. That is part of the value we bring to the table.

IT 133

IT Modeling Digital Transformation Data Governance 133

CIO Business Intelligence

APRIL 17, 2024

Similarly, clothing brand Under Armour recently produced an ad that used AI-generated 3D models of the British boxer Anthony Joshua, based on videos they took of him in the past. Helping software developers write and test code Similarly in tech, companies are currently open about some of their use cases, but protective of others.

Enterprise 129

Enterprise Testing Digital Transformation Software 129

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

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

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

DECEMBER 10, 2024

Select the Consumption hosting plan and then choose Select. In the Create function pane, provide the following information: For Select a template , choose v2 Programming Model. For Programming Model , choose the HTTP trigger template. Test the SSO setup You can now test the SSO setup. Choose Test this application.

Sales 93

Sales Metadata Enterprise Testing 93

CIO Business Intelligence

JUNE 16, 2022

Cloud-first applications support a manageable OpEx cost model, metered like a utility, as opposed to requiring significant upfront capital investments in infrastructure and software licenses. That’s illustrated by the ability of cloud-first businesses to pivot to a remote work-from-home model with unprecedented speed and scale.”.

Strategy 138

Strategy Enterprise Digital Transformation Data Processing 138

Smart Data Collective

NOVEMBER 11, 2020

Here are some of the factors that you should look for when selecting one if you want to prevent a data breach: Incredible speed – unlike many other VPN services, a good VPN does not decrease the speed that data is transferred between the host and client server. A good VPN will prevent tunnel leaks and use excellent encryption.

Data Processing 137

Data Processing Technology Testing Risk 137

DataRobot

JANUARY 15, 2020

Kaggle is a popular online forum that hosts machine learning competitions with real-world data, often provided by commercial or non-profit enterprises to crowd-source AI solutions to their problems. For every competition, the host provides a training and test set of data. Their accuracy is then ranked on a public leaderboard.

Data Processing 16

Data Processing Testing Machine Learning Metrics 16

CIO Business Intelligence

JANUARY 31, 2024

But AI users must also get over the urge to use the biggest, baddest AI models to solve every problem if they truly want to fight climate change. Is it necessary for a model that can also write a sonnet to write code for us?” Our approach has been to create specific models for specific use cases rather than one general-purpose model.”

Cost-Benefit 135

Cost-Benefit Modeling Testing IoT 135