DataRobot Blog

MAY 26, 2022

Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. In summary, to ensure that they have built a robust model, modelers must make certain that they have designed the model in a way that is backed by research and industry-adopted practices.

Risk 52

Risk Modeling Metrics Business Objectives 52

Cloudera

OCTOBER 20, 2021

What are the key climate risk measurements and impacts? When it comes to measuring climate risk, generating scenarios will be a critical tactic for financial institutions and asset managers. Climate risk measurement has no precedent from which to learn and there are numerous variables to consider. agent-based model (ABM) ?in

Risk 79

Risk Modeling Risk Management Measurement 79

erwin

MARCH 24, 2020

Technical teams charged with maintaining and executing these processes require detailed tasks, and business process modeling is integral to their documentation. erwin’s Evolve software is integral to modeling process flow requirements, but what about the technology side of the equation?

Modeling 97

Modeling Data Processing Software Finance 97

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. DataOps requires that teams measure their analytic processes in order to see how they are improving over time. Azure Repos – Unlimited, cloud-hosted private Git repos. .

Testing 307

Testing Machine Learning Consulting Data Quality 307

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 123

Cost-Benefit Measurement Optimization Metrics 123

datapine

JUNE 18, 2019

A data-driven finance report is also an effective means of remaining updated with any significant progress or changes in the status of your finances, and help you measure your financial results, cash flow, and financial position. Work Quality: These metrics help companies determine the quality level of their employees’ work performance.

Reporting 251

Reporting Metrics KPI Finance 251

IBM Big Data Hub

MAY 15, 2024

In recent years, cloud adoption services have accelerated, with companies increasingly moving from traditional on-premises hosting to public cloud solutions. Having the right people, processes, and technology in place is essential for validating changes and understanding their impact on the consumption model and usability.

Key Performance Indicator 59

Key Performance Indicator Cost-Benefit Forecasting Finance 59

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

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 90

Data Processing Experimentation Visualization Metrics 90

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 80

Data Processing Dashboards Metrics Software 80

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

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 91

Cost-Benefit Visualization Modeling Machine Learning 91

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. Ultimately, the goal was for the users to “fish for themselves.”

Publishing 55

Publishing Analytics Business Intelligence Operational Reporting 55

AWS Big Data

JUNE 21, 2023

Among them are the use of embedding models, a type of model that can encode a large body of data into an n-dimensional space where each entity is encoded into a vector, a data point in that space, and organized such that similar entities are closer together. An embedding model, for instance, could encode the semantics of a corpus.

Metrics 76

Metrics Measurement Modeling Dashboards 76

AWS Big Data

OCTOBER 11, 2023

Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities. These metrics help agents improve their call handle time and also reallocate agents across organizations to handle pending calls in the queue.

Management 104

Management Metadata Analytics Dashboards 104

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

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

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 100

Reporting Cost-Benefit Internet of Things Data-driven 100

CIO Business Intelligence

AUGUST 15, 2023

Shamim Mohammad, CIO, CarMax CarMax That volume created a Sisyphean task for the company’s content writers, as they struggled to provide up-to-date information by make, model, and year for each vehicle in the company’s constantly changing inventory. And it yields multiple business metric improvements, such as limiting surplus inventory.

IT 98

IT Manufacturing IoT Cost-Benefit 98

AWS Big Data

JANUARY 10, 2024

During the query phase of a search request, the coordinator determines the shards to be queried and sends a request to the data node hosting the shard copy. In an OpenSearch Service cluster, the active and standby zones can be checked at any time using Availability Zone rotation metrics, as shown in the following screenshot.

Metadata 95

Metadata Broadcasting Data Processing Modeling 95

The Unofficial Google Data Science Blog

JULY 17, 2018

Alternatively, guidance and insight may be delivered below the executive level to product managers and engineering leads, directing product feature development via metrics and A/B experiments. This measure of web page value is on a meaningful linear scale, such that our freshness metric (a weighted average) has an intuitive interpretation.

Data Science 85

Data Science Snapshot Data Processing Optimization 85

FineReport

JULY 21, 2021

Performance is measure by a set of KPIs. 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. Enterprise BI Performance Monitoring (by FineReport).

Business Intelligence 98

Business Intelligence Enterprise Dashboards Sales 98

CIO Business Intelligence

JUNE 14, 2023

This can be achieved by utilizing dense storage nodes and implementing fault tolerance and resiliency measures for managing such a large amount of data. An airline carrier needs to know how many gates are open and how many passengers are on each plane – metrics that change from moment to moment. Focus on scalability.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

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

Cloudera

MAY 6, 2021

However, while many organizations have established relationships with multiple cloud vendors to achieve a multi-cloud model, they are using advanced analytics solutions that introduce cloud and data silos that diminish the value of that model. performance against network metrics such as latency, packet loss and jitter).

Strategy 91

Strategy Cost-Benefit Optimization Risk 91

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. Finally, investors from BlackStone to JP Morgan are beginning to prioritize environmental, social, and governance metrics—like ethics—into its definition of shareholder value. Ethics is much more slippery.

Cost-Benefit 249

Cost-Benefit Finance Strategy Data-driven 249

AWS Big Data

MARCH 26, 2024

The following figure shows some of the metrics derived from the study. Unified customer profile Graph databases excel in modeling customer interactions and relationships, offering a comprehensive view of the customer journey. Organizations using C360 achieved 43.9% reduction in sales cycle duration, 22.8% faster time to market, and 19.1%

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Introduction. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

IBM Big Data Hub

AUGUST 14, 2023

Breakthroughs in generative AI powered by large language models (LLMs) continue to inspire new solutions that help companies overcome these longstanding organizational challenges. Many organizational IT networks host tens of thousands of applications operating within their hybrid cloud network.

Business Objectives 47

Business Objectives IT Key Performance Indicator Consulting 47

CIO Business Intelligence

MARCH 13, 2024

AI models are able to present best practice code systems to help junior developers learn and hone their skills.” Still, he urges companies to look beyond measurements of coding speed. Today, SAP has dozens of different gen AI tools, hosted in a company-wide platform, that allow employees to create content, graphics, and more.

IT 128

IT Consulting Testing Cost-Benefit 128

Domino Data Lab

JUNE 2, 2019

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Data science leadership: importance of being model-driven and model-informed.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

CIO Business Intelligence

OCTOBER 23, 2023

CIOs and their IT teams have enjoyed a bump in power and prestige in recent years, as the C-suite has embraced continuous transformation, digital everything, and a host of emerging technologies — all enabled by IT. In short, Jain says, “FinOps will help you focus on the right cloud architecture and design.”

IT 137

IT Consulting Scorecard Key Performance Indicator 137

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 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

CIO Business Intelligence

OCTOBER 13, 2022

One of the most important parameters for measuring the success of any technology implementation is the return on investment (ROI). Hosting the entire infrastructure on-premise will turn out to be exorbitant,” he says. ROI and Metrics Adopt the agile methodology.

ROI 132

ROI IT Sales Consulting 132

Cloudera

MAY 18, 2021

Prior the introduction of CDP Public Cloud, many organizations that wanted to leverage CDH, HDP or any other on-prem Hadoop runtime in the public cloud had to deploy the platform in a lift-and-shift fashion, commonly known as “Hadoop-on-IaaS” or simply the IaaS model.

Cost-Benefit 85

Cost-Benefit Data-driven Data Warehouse Machine Learning 85

CIO Business Intelligence

JUNE 8, 2022

CIOs will be measured by their ability to attract and maintain talent without losing output by offering remote work flexibility, and by implementing the [diversity, equity, and inclusion] and sustainability initiatives increasingly sought by young IT professionals,” Fleming says. . Provide tools tech teams and business users want to use. “An

IT 133

IT Cost-Benefit Uncertainty Digital Transformation 133

AWS Big Data

JULY 26, 2023

The vector engine supports the popular distance metrics such as Euclidean, cosine similarity, and dot product, and can accommodate 16,000 dimensions, making it well-suited to support a wide range of foundational and other AI/ML models. You can choose to host your collection on a public endpoint or within a VPC.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52