DataRobot Blog

JUNE 27, 2022

In our previous two posts, we discussed extensively how modelers are able to both develop and validate machine learning models while following the guidelines outlined by the Federal Reserve Board (FRB) in SR 11-7. Monitoring Model Metrics.

Risk 59

Risk Modeling Metrics Measurement 59

CIO Business Intelligence

JUNE 4, 2024

On the pro-code front, Andreas Welsch, VP and head of AI marketing, said in an interview that SAP is leveraging its partnership with Nvidia to fine tune an LLM model on ABAP code. Also later this year, customers will be able to make natural language requests for insights into processes that will generate charts and metrics.

IT 122

IT Data Governance ROI Business Objectives 122

O'Reilly on Data

DECEMBER 12, 2019

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

Machine Learning 201

Machine Learning Modeling Testing Risk Management 201

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

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. These are powerful tools that you can apply to increase internal business performance.

Reporting 251

Reporting Metrics KPI Finance 251

datapine

JULY 26, 2022

Enter small business dashboards and metrics. Powered by data visualizations, small businesses can use them to track performance and ensure steady growth. Modern dashboarding software technologies use data visualizations as a base, making them easy to manage and understand. What Are Small Business Metrics?

Dashboards 151

Dashboards KPI Metrics Sales 151

IBM Big Data Hub

APRIL 19, 2024

Robots and drones perform inspections by using AI-based visual recognition techniques. Mobile-connected technicians experience improved safety through measures such as access control, gas detection, warning messages or fall recognition, which reduces risk exposure and enhances operational risk management (ORM) during work execution.

Management 85

Management Internet of Things Risk IoT 85

CIO Business Intelligence

JUNE 4, 2024

Nvidia and SAP also announced that Joule will receive new capabilities through Nvidia’s AI Enterprise software, and SAP will integrate Nvidia Omniverse Cloud APIs into its Intelligent Product Recommendation solution as well, so customers can use digital twins to visualize recommended products. That’s where we see the value.”

Enterprise 124

Enterprise Forecasting Sales Modeling 124

DataRobot Blog

SEPTEMBER 1, 2022

For example, a recent IDC study 1 shows that it takes about 290 days on average to deploy a model into production from start to finish. Once you move your model into production, you need to monitor and manage your models to ensure that you can trust predictions and turn them into the right business decisions.

Metrics 145

Metrics Statistics Modeling Data Science 145

DataKitchen

JUNE 19, 2023

Our customers start looking at the data in dashboards and models and then find many issues. It involves tracking key metrics such as system health indicators, performance measures, and error rates and closely scrutinizing system logs to identify anomalies or errors. The value here is improved end-user experienc e.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

CIO Business Intelligence

APRIL 8, 2024

Risk Mitigation Modeling can then be used to analyze training data and determine a player’s ideal training volume while minimizing injury risk. Jamie Capel-Davies, head of science and technical for ITF, says metrics don’t mean much if you can’t communicate them effectively in time to make use of them.

Analytics 118

Analytics Broadcasting Predictive Analytics Metrics 118

DataKitchen

NOVEMBER 18, 2022

Logs and storage for problem diagnosis and visualization of historical trends. In addition to the tracking of relationships and quality metrics, DataOps Observability journeys allow users to establish baselines? Observability users are then able to see and measure the variance between expectations and reality during and after each run.

Testing 130

Testing Statistics Measurement Metrics 130

Decision Management Solutions

JUNE 4, 2021

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). Focusing on decision-making changes everything. We can show you how to accomplish this. Get started.

Analytics Technologies 52

Analytics Technologies Technology Modeling Key Performance Indicator 52

CIO Business Intelligence

JULY 5, 2022

Research firm Gartner defines business analytics as “solutions used to build analysis models and simulations to create scenarios, understand realities, and predict future states.”. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

FineReport

APRIL 21, 2024

Additionally, there is a growing demand for advanced analytics and data visualization tools to make data-driven decisions. By embracing SaaS BI tools , businesses can unlock enhanced scalability, faster implementation, and robust security measures while empowering users with self-service analytics capabilities.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

CIO Business Intelligence

AUGUST 29, 2023

The best way to visualize a value stream is as a cross-section of multiple functional silos, comprised of the individuals in each who are participating in the creation and delivery of a specific stream of value. Culture built on trust Traditionally, most large companies are organized around functional silos.

Management 98

Management Digital Transformation Measurement Software 98

datapine

JANUARY 6, 2022

Through the art of streamlined visual communication, data dashboards permit businesses to engage in real-time and informed decision-making and are key instruments in data interpretation. Interval: a measurement scale where data is grouped into categories with orderly and equal distances between the categories.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

datapine

AUGUST 7, 2019

SaaS tools enable you to choose the best delivery model that corresponds with your business requirements and adapt it as your business changes. Moreover, as a SaaS metrics dashboard serves all of your data in one centralized space, you don’t need to waste time logging into different applications or platforms to source the insights you need.

Dashboards 168

Dashboards Management KPI Cost-Benefit 168

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. With OpenSearch’s Search Comparison Tool , you can compare the different approaches.

Data Processing 91

Data Processing Visualization Experimentation Metrics 91

Smart Data Collective

JULY 1, 2023

Image annotation is the act of labeling images for AI and machine learning models. This helps train the AI model by assigning classes to different entities in an image. This he’s just one of the many ways that artificial intelligence has significantly improved outcomes that rely on visual media.

Metrics 64

Metrics Machine Learning Uncertainty Deep Learning 64

FineReport

MAY 31, 2023

A financial dashboard, one of the most important types of data dashboards , functions as a business intelligence tool that enables finance and accounting teams to visually represent, monitor, and present financial key performance indicators (KPIs).

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

AWS Big Data

JANUARY 9, 2024

Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. Traditional lexical search, based on term frequency models like BM25, is widely used and effective for many search applications.

Visualization 90

Visualization Cost-Benefit Modeling Machine Learning 90

CIO Business Intelligence

JUNE 5, 2023

These measures will drive decarbonization across the value chain and give CIOs the opportunity to leverage their expertise and build resiliency throughout their organizations. This opportunity to collaborate with sustainability in mind extends to the influence CIOs hold over where and how employees work.

Software 105

Software Measurement Visualization Business Objectives 105

Juice Analytics

APRIL 6, 2021

Habit 1: Define shared metrics Data fluency requires getting everyone on the same page as to what matters most. Matt Lerner in conjunction with Business of Software delivers online workshops that help you determine your “North Star Metric” and the set of key drivers that are bottlenecks to achieving that overall success.

Metrics 119

Metrics Dashboards Data-driven Data Quality 119

Smarten

APRIL 12, 2023

Smarten CEO, Kartik Patel says, ‘Smarten SnapShot supports the evolving role of Citizen Data Scientists with interactive tools that allow a business user to gather information, establish metrics and key performance indicators.’

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Corinium

JUNE 6, 2019

Beyond that, we recommend setting up the appropriate data management and engineering framework including infrastructure, harmonization, governance, toolset strategy, automation, and operating model. Measure user adoption and engagement metrics to not just understand products take-up, but also to enhance the overall product propositions.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

DataRobot

APRIL 20, 2021

In this installment, I’ll cover four key elements of trusted AI that relate to the performance of a model: data quality, accuracy, robustness and stability, and speed. The performance of any machine learning model is tightly linked to the data it was trained on and validated against. Use Multiple Tools and Visualizations.

Measurement 52

Measurement Visualization Advertising Metrics 52

Sisense

JULY 15, 2020

At this time, it might be tempting to let the HR side of your metrics go. Some teams are being furloughed, some are being released, and talent leaders need to know how they build a capacity model to keep a flexible, yet data-driven capacity to keep the recruitment engine going.” Next, understand how you will measure success.

Data-driven 84

Data-driven Metrics Business Driver Visualization 84

datapine

NOVEMBER 15, 2022

1) What Are Product Metrics? 2) Types Of Product Metrics. 3) Product Metrics Examples You Can Use. 4) Product Metrics Framework. The right product performance metrics will give you invaluable insights into its health, strength and weaknesses, potential issues or bottlenecks, and let you improve it greatly.

Metrics 141

Metrics KPI Measurement Dashboards 141

Octopai

APRIL 23, 2022

Mapping a data environment and creating visualizations of data flow is what data lineage tracking does best. With the visual map created through data lineage techniques, you can clearly see the processes that overlap and the paths that dead-end. There’s the reason for that metric coming out like that! More measurable metrics.

Visualization 89

Visualization Metrics Reporting Software 89

CIO Business Intelligence

JUNE 9, 2023

Leveraging that data, in AI models, for example, depends entirely on the accessibility, quality, granularity, and latency of your organization’s data. Simply put, data management is a sophisticated process involving various stages, such as data storage, processing, analysis, and visualization.

Strategy 116

Strategy Management Key Performance Indicator ROI 116

datapine

MARCH 31, 2022

To simplify things, you can think of back-end BI skills as more technical in nature and related to building BI platforms, like online data visualization tools. For example, you could be the one to extract actionable insights from specific retail KPIs that need to be visualized and presented during a meeting. BI developer.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. In addition to these advancements, another prominent trend in data analysis is the growing impact of data visualization.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Smart Data Collective

OCTOBER 5, 2020

Power BI proves to be the best tool for analysis and visualization of data. Microsoft Power BI is a Business Intelligence and Data Visualization tool which assists organizations to analyze data from multiple sources, convert it into an interactive dashboard and share insights. Copy-Paste Power BI Visuals in PowerPoint.

Interactive 91

Interactive Visualization Dashboards Business Intelligence 91

DataKitchen

JANUARY 3, 2022

Business analysts sometimes perform data science, but usually, they integrate and visualize data and create reports and dashboards from data supplied by other groups. Business analytic teams have ongoing deliverables – a dashboard, a PowerPoint, or a model that they refresh and renew. Business Analytic Challenges.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

AWS Big Data

JUNE 6, 2023

For example, medical researchers found that across 79,000 emergency department encounters of pediatric patients in a hospital, incorrect or missing patient weight measurements led to medication dosing errors in 34% of cases. Rule Type Description AggregateMatch Checks if two datasets match by comparing summary metrics like total sales amount.

Data Quality 93

Data Quality Statistics Data Lake Visualization 93

Insight

MARCH 12, 2020

The AIgent was built with BERT, Google’s state-of-the-art language model. In this article, I will discuss the construction of the AIgent, from data collection to model assembly. Features: DistilBERT Text Embeddings Once I had a raw dataset, I could begin engineering features and building a natural language processing (NLP) model.

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Modeling Metadata Publishing Sales 59