DataRobot Blog

APRIL 15, 2022

One way to determine if supply can meet demand is to forecast how much solar power can be generated in advance. Forecasting how much solar power will be generated is directly dependent on the availability of solar radiation or sunlight in layman terms. This will allow us to leverage the DataRobot’s Automated Time Series models.

Forecasting 52

Forecasting Optimization Measurement Machine Learning 52

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

O'Reilly on Data

JULY 28, 2020

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 363

Marketing Experimentation Metrics Testing 363

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

DataRobot Blog

DECEMBER 6, 2022

Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. Taking a Multi-Tiered Approach to Model Risk Management. Forecast Time Series at Scale with Google BigQuery and DataRobot. Data scientists are in demand: the U.S. Read the blog.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

CIO Business Intelligence

JUNE 12, 2024

Following the merger, the energy company began its digital transformation by unifying the three networks under one ERP system, SAP, with plans to eventually evolve to SAP’s S/4HANA SaaS-based model. At UK Power Networks, reliability remains the ultimate metric of concern. “We

Digital Transformation 99

Digital Transformation Cost-Benefit Forecasting Marketing 99

CIO Business Intelligence

JUNE 4, 2024

Another integration is arriving in the generative AI hub capability in SAP AI Core via three large language models (LLMs) from Paris-based Mistral AI. He said that SAP benchmarks models for performance on individual tasks, as well as for bias. That’s where we see the value.”

Enterprise 118

Enterprise Forecasting Sales Modeling 118

Jet Global

APRIL 27, 2020

Any company worth its salt uses financial modeling to guide its financial planning and strategic decision-making. Financial modeling offers data-driven, quantitative analysis that tells you where your company stands and where it’s heading. But one model can’t do it all. What Is Financial Modeling? Organic business growth.

Modeling 72

Modeling Forecasting Finance Visualization 72

CIO Business Intelligence

NOVEMBER 29, 2022

As part of the announcement, the company said that it was making the forecasting, capacity planning, scheduling and Contact Lens feature of Amazon Connect generally available while introducing two new features in preview. c (Sydney), and Europe (London) Regions.

Machine Learning 95

Machine Learning Forecasting Recreation/Entertainment Metrics 95

Smart Data Collective

AUGUST 30, 2022

Prices must account for the company’s key value metric, cost structure, buyer personas, and other factors like competition. Analytics can use existing data to model scenarios where customers will respond to different prices. We will also talk about ways to incorporate data analytics into these models. Value-Based Pricing.

B2B 132

B2B Analytics Cost-Benefit Metrics 132

IBM Big Data Hub

SEPTEMBER 6, 2023

Why budgeting feels like a marathon Just like marathon training takes months of preparation, crafting a budget involves a lot of data collection, metrics analysis, resource allocation and collaboration. Negotiations and complicated financial models add depth and time to the budgeting process. This results in exhaustive review cycles.

Forecasting 83

Forecasting Marketing Risk Sales 83

DataRobot Blog

OCTOBER 18, 2022

The DataRobot expo booth at the 2022 conference showcased our AI Cloud platform with industry-specific demonstrations including Anti-Money Laundering for Financial Services , Predictive Maintenance for Manufacturing and Sales Forecasting for Retail. Monitoring and Managing AI Projects with Model Observability.

Big Data 96

Big Data Forecasting Experimentation Metrics 96

Octopai

JUNE 9, 2024

The goal was to develop sophisticated data products, such as predictive analytics models to forecast patient needs, patient care optimization tools, and operational efficiency dashboards. For instance, aligning patient care data from Oracle databases with operational metrics from Power BI was daunting without clear data lineage.

IT 52

IT Data-driven Data Strategy Predictive Analytics 52

AWS Big Data

OCTOBER 26, 2023

Data analysts and database developers want to use this data to train machine learning (ML) models, which can then be used to generate insights on new data for use cases such as forecasting revenue, predicting customer churn, and detecting anomalies. We also need an offline feature store to store features in feature groups.

Modeling 62

Modeling Data Warehouse Machine Learning Testing 62

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 122

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 122

IBM Big Data Hub

JULY 5, 2023

It can be hard to monitor metrics and compare data when using multiple cloud vendors with different dashboards, and overspending can be easy. What metrics will we track? Inform: Organizations need accurate and up-to-date visibility to make intelligent decisions on allocation, benchmarking, budgeting and forecasting.

Optimization 63

Optimization Forecasting ROI Metrics 63

Smart Data Collective

JUNE 16, 2022

Team Upskilling: Train business analysts on planning, gap analysis, scoping & blueprinting, cost-benefit calculation of new initiatives, solution architecture, modelling, elicitation, requirement management, performance management, and other improvement initiatives. Having effective tools is vital to the organization’s success.

Business Analytics 123

Business Analytics Analytics Forecasting Business Analysis 123

CIO Business Intelligence

JANUARY 22, 2024

There’s a lot more weather data available that a professional meteorologist (especially one armed with software designed for analyzing weather data) could use to make detailed forecasts for anywhere from an hour to five days out.

Forecasting 104

Forecasting Software Metrics Enterprise 104

Cloudera

APRIL 9, 2021

Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. This integration is key in assuring that models evolve with the data – to avoid, for example, model drift. The third video in the series highlighted Reporting and Data Visualization.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

IBM Big Data Hub

MAY 15, 2024

It also drives improved outcomes and performance through enhanced visibility and planning, which includes comparing actual spending against forecasts, ensuring that architecture aligns with business and technological objectives, and increasing automation.

Key Performance Indicator 56

Key Performance Indicator Cost-Benefit Forecasting Finance 56

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. How can advanced analytics be used to improve the accuracy of forecasting? Incorporate these into subsequent releases.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

JUNE 11, 2024

That definition was well ahead of its time and forecasted the current era’s machine learning and generative AI capabilities. We can debate the department’s new name, but we can’t ignore the fact that substantive changes to the delivery model are required. What comes first: A new brand or operating model?

IT 108

IT Digital Transformation Broadcasting Business Objectives 108

Smart Data Collective

FEBRUARY 9, 2022

For instance, they display trend lines, pivot points, low volatility and other metrics in distinct colors. Target profit percentage: These metrics can enable you to set reasonable profit targets, which may help eliminate emotion in trading. Enables animation and object modeling of 3D charts for better analysis and testing.

Visualization 134

Visualization Optimization Analytics Testing 134

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. To do so they require data, which is in no shortage. Often larger or established teams shy away from integrating AI due to complexities in rollout and validation.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

CIO Business Intelligence

SEPTEMBER 20, 2023

Digital transformation initiatives are often the organization’s big bets to change the business and operating model. Agile has to work within the context of the organization, whether it’s the process of financial reporting, estimation, or forecasting,” said Phil Heijkoop, general manager of Aligned Agility.

Digital Transformation 122

Digital Transformation Uncertainty Metrics Business Objectives 122

IBM Big Data Hub

OCTOBER 5, 2022

Build planning models to improve supply chain management. You also build planning models to capture relationships and constraints so that you can change your driver assumptions and immediately see the impact on resources and capacity over time. The challenge faced by every company is matching supply with demand.

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

IBM Big Data Hub

SEPTEMBER 19, 2023

Eventually, the concept of “Observability = Metrics + Traces + Logs” became the de facto definition. Instana’s lightweight agent collects rich telemetry data—including logs, metrics and traces—without impacting the performance of applications or infrastructure.

IT 80

IT Metrics Forecasting Machine Learning 80

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 100

Uncertainty Forecasting Visualization Big Data 100

CIO Business Intelligence

NOVEMBER 21, 2023

Set parameters and emphasize collaboration To address one root cause of shadow IT, CIOs must also establish a governance and delivery model for evaluating, procuring, and implementing department technology solutions. CIOs need a way to capture lightweight business cases or forecast business value to help prioritize new opportunities.

IT 127

IT Risk Cost-Benefit Risk Management 127

IBM Big Data Hub

JUNE 29, 2023

Integrated planning incorporates supply chain planning, demand planning, and demand forecasts so the company can quickly assess the impact on inventory levels, supply chain logistics, production plans, and customer service capacity. A retail company experiences a sudden surge in online sales due to a viral social media campaign.

Key Performance Indicator 76

Key Performance Indicator Forecasting Sales Data Integration 76

IBM Big Data Hub

NOVEMBER 29, 2023

Additionally, developments in both closed and open source large language models (LLM) are enhancing AI’s ability for understanding plain, natural language. Events as fuel for AI Models: Artificial intelligence models rely on big data to refine the effectiveness of their capabilities.

Unstructured Data 84

Unstructured Data Data-driven ROI Machine Learning 84

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 109

Cost-Benefit Measurement Optimization Metrics 109

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. The above image shows how forecasting bus rides in Chicago became incredibly hard in March of 2020 when everyone suddenly started to work from home.

Machine Learning 80

Machine Learning Data Processing Forecasting Modeling 80

IBM Big Data Hub

MARCH 4, 2024

Figure 2: ROI potential by transforming into an AI+ enterprise Organizations with high data maturity that embed an AI+ transformation model into the enterprise fabric and culture can generate up to 2.6 Consider the following: Do you need a public foundation model? times higher ROI. Should you build your own? If so, where will it run?

Enterprise 96

Enterprise ROI Risk Strategy 96

FineReport

OCTOBER 10, 2020

Adaptive Insights was an early user of the software as a service (SaaS) model for business intelligence and corporate performance management. It is a cloud-based corporate performance reporting solution that helps businesses plan budgets, actuals, plans, forecasts, calculations, and cell notes on all key SaaS metrics and KPIs.

Reporting 87

Reporting Metrics Dashboards Cost-Benefit 87

AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions.

Data Lake 89

Data Lake Unstructured Data Management Modeling 89