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 62

Optimization Forecasting Data-driven Strategy 62

DataRobot

APRIL 26, 2021

Demand forecasting is a common Time Series use case in DataRobot. Using historical sales data, together with data related to product features, calendar of events, and economic indicators, we can produce forecasts of future demand. To improve the performance of such demand forecasting models, we can use several modeling techniques.

Forecasting 59

Forecasting Sales Data-driven Modeling 59

AWS Big Data

FEBRUARY 1, 2023

Storage and redundancy – Due to the heterogeneous data stores and models, it was challenging to store the different datasets from various business stakeholder teams. To further optimize and improve the developer velocity for our data consumers, we added Amazon DynamoDB as a metadata store for different data sources landing in the data lake.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

IBM Big Data Hub

DECEMBER 19, 2023

Anomaly detection simply means defining “normal” patterns and metrics—based on business functions and goals—and identifying data points that fall outside of an operation’s normal behavior. A machine learning model trained with labeled data will be able to detect outliers based on the examples it is given.

Machine Learning 73

Machine Learning Optimization Unstructured Data Sales 73

Jedox

JUNE 24, 2021

Typical metrics such as impressions, unique website visitors, raw and qualified leads, sales growth, sales target and target achievement, customer acquisition costs, customer churn rate, sales cycle length are among the ever-growing list of marketing metrics becoming commonly used. The evolution of marketing data.

Sales 95

Sales Marketing Optimization Metrics 95

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 362

Marketing Experimentation Metrics Testing 362

IBM Big Data Hub

JULY 25, 2023

Smart grids turn this model on its head. Sensors and automation devices: These are installed throughout the grid to monitor voltage, current, and load capacity (among other metrics). This software, and the insights it provides, can help providers predict demand patterns, identify potential issues and optimize the distribution network.

Optimization 63

Optimization Technology Measurement Cost-Benefit 63

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

IBM Big Data Hub

MAY 15, 2024

However, the rise of hybrid and multi-cloud patterns has led to challenges in optimizing value and controlling cloud expenditure, resulting in a shift from capital to operational expenses. However, this reactive approach perpetuates firefighting rather than proactive self-optimization.

Key Performance Indicator 59

Key Performance Indicator Cost-Benefit Forecasting Finance 59

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 110

Machine Learning Forecasting Recreation/Entertainment Metrics 110

The Unofficial Google Data Science Blog

APRIL 19, 2021

by LEE RICHARDSON & TAYLOR POSPISIL Calibrated models make probabilistic predictions that match real world probabilities. To explain, let’s borrow a quote from Nate Silver’s The Signal and the Noise : One of the most important tests of a forecast — I would argue that it is the single most important one — is called calibration.

Modeling 122

Modeling IT Metrics Testing 122

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

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

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 135

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 135

AWS Big Data

JULY 13, 2023

To reflect the needs of their customers spread across different geographies and industries, Altron has organized their operating model across individual Operating Companies (OpCos). To verify the data quality of the sources through statistically-relevant metrics, AWS Glue Data Quality runs data quality tasks on relevant AWS Glue tables.

Optimization 91

Optimization B2B Data Quality Sales 91

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 technology can help companies optimize their prices more effectively. Analytics can use existing data to model scenarios where customers will respond to different prices.

B2B 131

B2B Analytics Cost-Benefit Metrics 131

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

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

Domino Data Lab

AUGUST 22, 2019

The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. While the field of computational linguistics, or Natural Language Processing (NLP), has been around for decades, the increased interest in and use of deep learning models has also propelled applications of NLP forward within industry.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

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 86

Key Performance Indicator Forecasting Data Integration Sales 86

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 89

IT Metrics Forecasting Technology 89

IBM Big Data Hub

FEBRUARY 23, 2024

DL models can improve over time through further training and exposure to more data. When a user sends a message, the system uses NLP to parse and understand the input, often by using DL models to grasp the nuances and intent. DL, a subset of ML, excels at understanding context and generating human-like responses. billion by 2030.

Enterprise 108

Enterprise Interactive Data-driven Key Performance Indicator 108

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 94

Unstructured Data Data-driven ROI Machine Learning 94

AWS Big Data

NOVEMBER 15, 2023

BMW Group uses 4,500 AWS Cloud accounts across the entire organization but is faced with the challenge of reducing unnecessary costs, optimizing spend, and having a central place to monitor costs. The ultimate goal is to raise awareness of cloud efficiency and optimize cloud utilization in a cost-effective and sustainable manner.

Dashboards 97

Dashboards Analytics Metadata Data Warehouse 97

Jet Global

AUGUST 25, 2020

When it comes to optimizing business performance, there’s quite a bit of jargon that gets thrown around. Rather, it represents the management framework put in place by corporate leadership to monitor and respond to important metrics. Budgeting, planning, and forecasting in finance. Monitoring key metrics.

Software 96

Software Metrics Finance Key Performance Indicator 96

DataRobot Blog

JULY 28, 2022

Companies are emphasizing the accuracy of machine learning models while at the same time focusing on cost reduction, both of which are important. In addition to the accuracy of the models we built, we had to consider business metrics, cost, interpretability, and suitability for ongoing operations. Sensor Data Analysis Examples.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

IBM Big Data Hub

DECEMBER 13, 2023

A procurement strategy allows an organization to navigate an increasingly complex global supply chain, adapt swiftly to market fluctuations, and achieve cost optimization, operational efficiency and growth. These metrics should align with the defined business objectives and provide quantifiable benchmarks for evaluating performance.

Strategy 74

Strategy Cost-Benefit Key Performance Indicator Consulting 74

CIO Business Intelligence

JUNE 1, 2022

The company is applying winning insights from rapid, data-driven, evolutionary models versus relying on engine speed and aerodynamics alone to win races. Cloud-connected cars are now commonplace in the mainstream connected car market that is forecast to surpass $166 billion by 2025. billion by 2030.

Manufacturing 116

Manufacturing Digital Transformation Predictive Analytics Strategy 116

Domino Data Lab

APRIL 29, 2021

Summary: APIs will get better at transferring model components from one application to another and transferring pipelines to production. Transfer learning entails more than just sharing pre-trained models. Transfer learning, feature sharing, and model deployment may soon be made easier thanks to your favorite deep learning API.

Data Science 134

Data Science Deep Learning Modeling Forecasting 134

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 93

Data Lake Unstructured Data Management Modeling 93

Smarten

APRIL 21, 2022

A business that does not optimize its resources is doomed to fail. When and as daily business user analytics requires refinement to improve accuracy for strategic decisions, the Citizen Data Scientist and Data Scientist can collaborate to ensure optimal results. Alignment with Business Objectives and Metrics.

Business Objectives 52

Business Objectives Data-driven Forecasting Optimization 52

CIO Business Intelligence

JULY 18, 2022

Platforms that deliver access to an array of core applications and services that have been vetted and certified to run optimally in that particular environment can eliminate a lot of the guesswork and heavy lifting for IT, making deployment far more seamless. Hardened SLAs and one venue for support.

Cost-Benefit 88

Cost-Benefit Data Lake Data Warehouse Enterprise 88

FineReport

MAY 15, 2023

Sales representatives, managers, and VPs have a lot of tasks to navigate while increasing revenue and profits, making it crucial to swiftly and accurately forecast and compare data. Use them as templates, sources of inspiration, and initial models to adapt to your specific business requirements.

Dashboards 52

Dashboards Sales Metrics KPI 52

Jet Global

JUNE 11, 2020

Utilities are changing at an accelerated rate not only with shifts in the types of energy use, but also shifts in requirements from regulatory agencies and approaches to energy distribution models. Create planning models to assess the potential value of technology investments such as infrastructure improvements (e.g.

Finance 59

Finance Technology Forecasting Reporting 59

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. These benefits include enhanced operational efficiency through streamlined processes and optimized resource allocation.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

CIO Business Intelligence

AUGUST 17, 2022

The evidence that enterprises want the “autonomous” component to be built into storage platforms underscores what we forecasted for 2022. While there is a variety of storage performance metrics to consider, latency is the most critical determinant of your real-world transactional application and workload performance.

Enterprise 110

Enterprise Cost-Benefit Snapshot Data-driven 110