Cloudera

OCTOBER 20, 2021

Transition : the changes in asset values, business models, etc. (ex. Quantifying and evaluating climate risk will require risk and finance teams to model behavior related to these risks and evolve new metrics. Mandated disclosures will create additional pressure on the accuracy and confidence of such models. .

Risk 78

Risk Modeling Risk Management Measurement 78

AWS Big Data

OCTOBER 25, 2023

The anomaly detector processor creates and trains RCF models for a hashed value of keys, then uses those models to determine whether newly arriving messages have an anomaly based on the trained data. Also, for this walkthrough, we used a non-default sample_size for training the model.

Analytics 117

Analytics Data Processing Optimization Metrics 117

DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. We recently announced DataRobot’s new Hosted Notebooks capability. Learn more about DataRobot hosted notebooks.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

AWS Big Data

AUGUST 21, 2023

For the demo, we’re using the Amazon Titan foundation model hosted on Amazon Bedrock for embeddings, with no fine tuning. It similarly codes the query as a vector and then uses a distance metric to find nearby vectors in the multi-dimensional space. The algorithm for finding nearby vectors is called kNN (k Nearest Neighbors).

Data Processing 89

Data Processing Experimentation Visualization Metrics 89

IBM Big Data Hub

OCTOBER 26, 2023

In fact, ESG Research found that 91% of all applications will eventually be hosted in the public cloud. That much investment has necessitated the FinOps movement , a cloud financial management discipline designed to bring financial accountability to the variable, consumption-based spend model of cloud. What’s next?

Cost-Benefit 73

Cost-Benefit Optimization Metrics Data Processing 73

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 332

Management Machine Learning Experimentation Metrics 332

CIO Business Intelligence

MARCH 18, 2024

We are proceeding cautiously because the rise of LLMs [large language models] presents a new level of data security risk,” he says. “We We have been developing our own internal AI capability over the last few years using open-source models. Our data team uses gen AI on Amazon cloud to explore sustainability metrics.

Risk 131

Risk Cost-Benefit Data Processing Testing 131

IBM Big Data Hub

OCTOBER 16, 2023

They differ from virtual machines in that they leverage the features and resources of the host OS versus requiring a guest OS in every instance. Maintaining container visibility and tracking comprehensive container metrics enables organizations to reduce costs and better manage their software lifecycles across use cases.

Data Processing 78

Data Processing Dashboards Metrics Software 78

IBM Big Data Hub

APRIL 29, 2024

Hosted by IBM® in partnership with Meta, VeloxCon showcased the latest innovation in Velox including project roadmap, Prestissimo (Presto-on-Velox), Gluten (Spark-on-Velox), hardware acceleration, and much more.

Management 69

Management Optimization Data Processing Metrics 69

Cloudera

JUNE 26, 2023

For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models. It can provide a complete solution for data exploration, data analysis, data visualization, viz applications, and model deployment at scale.

Testing 75

Testing Data Processing Visualization Data Science 75

CIO Business Intelligence

NOVEMBER 21, 2023

Still, there is a steep divide between rogue and shadow IT, which came under discussion at a recent Coffee with Digital Trailblazers event I hosted. Without a strong delivery model and communication plan, frustrated business stakeholders are likelier to buy and try implementing a technology solution without IT’s involvement.

IT 135

IT Risk Cost-Benefit Risk Management 135

IBM Big Data Hub

AUGUST 28, 2023

The publishing industry is a heavy user of analytics and a broad use of metrics, from commonly used measures such as shipments, orders, revenue, point-of-sales and costs to more focused metrics such as pricing, inventory status and countless others. As business processes grew more complex, the data transparency and visibility suffered.

Publishing 53

Publishing Analytics Business Intelligence Operational Reporting 53

CIO Business Intelligence

JANUARY 10, 2024

Optimizing cloud investments requires close collaboration with the rest of the business to understand current and future needs, building effective FinOps teams, partnering with providers, and ongoing monitoring of key performance metrics. We need hard metrics because we’re running 800 instances of cloud computers.

Cost-Benefit 119

Cost-Benefit Measurement Optimization Metrics 119

datapine

JUNE 18, 2019

We live in a data-driven age, and the ability to use financial insights and metrics to your advantage will set you apart from the pack. Our monthly reports are on top illustrated with beautiful data visualizations that provide a better understanding of the metrics tracked. The reporting tools to do that exist for that very purpose.

Reporting 251

Reporting Metrics KPI Finance 251

Data Science 101

OCTOBER 19, 2023

When shopping for a hosting service from various cloud providers, you’ll find that pricing for 98% uptime is standard. How do we evaluate the performance of Large Language Models (LLM)? It really depends on the business problems we are try to solve, but the most commonly used metric is a similarity score.

Data Processing 59

Data Processing Metrics Modeling Technology 59

datapine

AUGUST 7, 2019

A SaaS dashboard is a powerful business intelligence tool that offers a host of benefits for ambitious tech businesses. SaaS tools enable you to choose the best delivery model that corresponds with your business requirements and adapt it as your business changes. That’s where SaaS dashboards enter the fold. What Is A SaaS Dashboard?

Dashboards 168

Dashboards Management KPI Cost-Benefit 168

CIO Business Intelligence

MAY 12, 2023

Hannah’s IT division collaborates with and serves the needs of its “sister” business units where it makes sense, such as hosting financial applications for some business units. We were able to get better metrics and reporting. “They’re free to go to whatever cloud they need to meet the needs of their customers,” he says.

Strategy 95

Strategy IT Digital Transformation Finance 95

CIO Business Intelligence

OCTOBER 7, 2022

Model and price infrastructure with accuracy. It would also provide a simulator for on-premises IT that includes the ability to input your actual costs of storage, hosts, and memory. HPE CloudPhysics is powered by some of the most granular data capture in the industry, with over 200 metrics for VMs, hosts, data stores, and networks.

Data-driven 95

Data-driven IT Digital Transformation ROI 95

Alation

JANUARY 20, 2022

Step 7: Data Quality Metrics. With data quality rules completed and firing, you can collect data quality metrics. These metrics inform users of suspect data and alert data stewards to data needing remediation. For this step, quality metrics gauge data sources to determine if the data is of sufficient quality.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

DataRobot

JUNE 29, 2021

Well, just imagine a production machine learning model that always stays accurate after it’s deployed—all by itself. Machine learning models trained on 2019 data didn’t know what to do. Continuous AI not only retrains your current production models for you. Why do I think this? Sounds pretty cool, right? Over and over.

Machine Learning 80

Machine Learning Data Processing Forecasting Modeling 80

Occam's Razor

SEPTEMBER 15, 2011

Winners, well before they think data or tool, have a well structured Digital Marketing & Measurement Model. This article guides you in understanding the value of the Digital Marketing & Measurement Model (notice the repeated emphasis on Marketing, not just Measurement), and how to create one for yourself. Losers don't.

Measurement 166

Measurement Marketing Modeling Key Performance Indicator 166

AWS Big Data

JUNE 14, 2023

This post focuses on how to properly size your MSK tiered storage cluster, which metrics to monitor, and the best practices to consider when running a production workload. Therefore, we model these three different consumer groups in the equation to account for their impact on infrastructure usage.

Metrics 80

Metrics Cost-Benefit Testing Optimization 80

DataRobot

DECEMBER 20, 2021

We embedded best practices and various deep learning models to support image data. Similar to other DataRobot projects, Visual AI projects delivered deployable models and associated model insights. Visual AI has extra tools that are specific to the image data type, which were created to enhance model insights.

Visualization 97

Visualization Deep Learning Machine Learning Modeling 97

DataRobot

JUNE 10, 2021

To foster innovation in this area, AICrowd hosted a competition to predict the olfactory properties of a molecule. DataRobot’s AutoML uses different feature engineering techniques and a variety of machine learning algorithms to identify the best model for multilabel classification. With DataRobot this is a one-click step.

Metrics 52

Metrics Machine Learning Visualization Experimentation 52

CIO Business Intelligence

NOVEMBER 29, 2023

If you choose not to use a cloud provider’s native services in order to remain agnostic, you lose many of the ‘better, cheaper, faster’ business case metrics,” says Holcombe. Most of the time, those CIOs decide to keep the multi-cloud model because they’re locked in. You’re trapped, big time,” says Nag. Adopt a hybrid cloud approach.

Recreation/Entertainment 123

Recreation/Entertainment Testing Strategy Risk 123

AWS Big Data

JANUARY 9, 2024

Traditional lexical search, based on term frequency models like BM25, is widely used and effective for many search applications. Semantic search In semantic search, the search engine uses an ML model to encode text or other media (such as images and videos) from the source documents as a dense vector in a high-dimensional vector space.

Cost-Benefit 88

Cost-Benefit Visualization Modeling Machine Learning 88

IBM Big Data Hub

FEBRUARY 7, 2024

Circular economy: When waste is a resource Waste not, want not: the circular economy model, which aims to minimize unnecessary waste and make the most of resources, is booming. This can be quantified by measuring metrics like tree cover, habitat integrity and number of species, and is guided by sustainable development principles.

Reporting 98

Reporting Cost-Benefit Internet of Things Data-driven 98

IBM Big Data Hub

DECEMBER 20, 2023

What metrics need to be improved? A model represents what was learned by a machine learning algorithm. Determine who will deploy algorithms and design, develop and validate models, as expertise is needed to effectively manage these tasks. Infrastructure: Determine where your AI systems will be hosted and how they will be scaled.

Strategy 78

Strategy Business Objectives Cost-Benefit Consulting 78

Cloudera

JULY 24, 2023

data engineering pipelines, machine learning models). In addition to its configuration capabilities, Cloudera Manager is able to visualize metrics for all open source projects and management services used by platform tenants and deliver critical insights to platform administrators that help them with decision making.

Analytics 65

Analytics Testing Metrics Management 65

CIO Business Intelligence

SEPTEMBER 22, 2022

Seeing that remote working continues to be a pressing issue still finding its footing after nearly three years in beta testing, the work surrounding feasible solutions seems to compound as time goes on, with some intending a full return to office while others have forged the company future on remote models. Go for the answer you already know.

Uncertainty 108

Uncertainty Forecasting Visualization Big Data 108

CIO Business Intelligence

MARCH 9, 2023

Pricing models and metrics can also be complex, making it difficult to understand when additional costs might kick in, Alexander says. There may be alternative deal models that make sense. Buyers should stop running away from more complex commercial models like outcome-based contracts,” says Arora.

Cost-Benefit 111

Cost-Benefit Risk Uncertainty Technology 111

IBM Big Data Hub

FEBRUARY 12, 2024

This model sounds like it can invite disaster; however, by providing a trusted 24/7 customer support program, Airbnb upholds their customer experience. They can choose their tailored experience, whether they’re a guest, host, experience host, or travel admin.

Consulting 76

Consulting Strategy Interactive Data Processing 76

FineReport

JULY 21, 2021

Enterprise business intelligence collects these metrics data and displays them in a real-time manner. Based on business data, BI visualizes business problems through graphics and models. On the contrary, the cloud software is hosted on the provider’s server and accessed through a web browser.

Business Intelligence 98

Business Intelligence Enterprise Dashboards Sales 98

CIO Business Intelligence

DECEMBER 8, 2022

Zip and click and zoom about a map of North America bespeckled with glowing, Generac-orange dots, and as you dance about, watch the handful of key metrics in the UI change to reflect the region examined: UtilityScore , OpportunityScore , PowerScore. That’s the paradox that drove Tim to host his hackathon in the first place.

IT 94

IT Metrics Advertising Visualization 94

CIO Business Intelligence

JANUARY 4, 2023

Recently members of our community came together for a roundtable discussion, hosted by Dell Technologies, about trends, trials, and all the excitement around what’s next. Due to the rapid growth in data sizes, there’s an increased need for HPC solutions that can run large training models.

Cost-Benefit 59

Cost-Benefit Machine Learning Modeling Uncertainty 59

AWS Big Data

NOVEMBER 16, 2023

As with all AWS services, Amazon Redshift is a customer-obsessed service that recognizes there isn’t a one-size-fits-all for customers when it comes to data models, which is why Amazon Redshift supports multiple data models such as Star Schemas, Snowflake Schemas and Data Vault.

Enterprise 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Because data analysts often build machine learning models, programming and AI knowledge are also valuable. Deep learning algorithms are neural networks modeled after the human brain.

Machine Learning 59

Machine Learning Data Science Statistics Deep Learning 59