Smarten

NOVEMBER 26, 2024

The business can harness the power of statistics and machine learning to uncover those crucial nuggets of information that drive effective decision, and to improve the overall quality of data. It shows the quality of the dataset and number of columns with listing down the missing values, duplicates, and measure and dimension columns.

Machine Learning 64

Machine Learning Data Quality Predictive Modeling Metadata 64

Cloudera

OCTOBER 14, 2020

By combining profound airline operation expertise, data science, and engine analytics to a predictive maintenance schedule, Lufthansa Technik can now ensure critical parts are on the ground (OTG) when needed, instead of the entire aircraft being OTG and not producing revenue. Fig 2: Diagram showing how CML is used to build ML training models.

Machine Learning 97

Machine Learning Modeling Cost-Benefit Testing 97

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Your marketing strategy is only as good as your ability to deliver measurable results. segmentation on steroids).

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

The Unofficial Google Data Science Blog

JANUARY 31, 2017

By OMKAR MURALIDHARAN, NIALL CARDIN, TODD PHILLIPS, AMIR NAJMI Given recent advances and interest in machine learning, those of us with traditional statistical training have had occasion to ponder the similarities and differences between the fields. Some branches of machine learning (e.g.

Machine Learning 74

Machine Learning Modeling Statistics Predictive Modeling 74

CIO Business Intelligence

SEPTEMBER 24, 2024

Accelerated adoption of artificial intelligence (AI) is fuelling rapid expansion in both the amount of stored data and the number of processes needed to train and run machine learning models. AI’s impact on cloud costs – managing the challenge AI and machine learning drive up cloud computing costs in various ways.

Predictive Modeling 115

Predictive Modeling Machine Learning Forecasting Data-driven 115

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

CIO Business Intelligence

JULY 5, 2022

Business analytics can help you improve operational efficiency, better understand your customers, project future outcomes, glean insights to aid in decision-making, measure performance, drive growth, discover hidden trends, generate leads, and scale your business in the right direction, according to digital skills training company Simplilearn.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

CIO Business Intelligence

JUNE 14, 2023

Certifications measure your knowledge and skills against industry- and vendor-specific benchmarks to prove to employers that you have the right skillset. The exam requires the candidate to use applications involving natural language processing, speech, computer vision, and predictive analytics.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

DataKitchen

SEPTEMBER 21, 2023

Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes. These applications are where the rubber meets the road and often where customers first encounter data quality issues.

Testing 173

Testing Data Quality Predictive Modeling Metrics 173

Smart Data Collective

MAY 17, 2021

Big data solutions are often created and supported using various technologies from IIoT to machine learning and AI. A mission-critical task like maintenance can be relegated to proactive measures thanks to a steady flow of performance data. It also introduces operational efficiencies.

Big Data 132

Big Data Cost-Benefit IoT Machine Learning 132

BizAcuity

APRIL 1, 2023

1] With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. There are a number of open-source ML platforms like KNIME that can also be leveraged to detect and predict suspicious behavior.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

BizAcuity

JANUARY 18, 2023

With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. How Machine Learning Helps Detect and Prevent AML. Predictive modeling for flagging suspicious activity.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

CIO Business Intelligence

MAY 26, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work.

Advertising 128

Advertising Machine Learning Software Measurement 128

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

The difference is in using advanced modeling and data management to make faster scenario planning possible, driven by actionable key performance measures that enable faster, well-informed decision cycles. Predictive analytics applies machine learning to statistical modeling and historical data to make predictions about future outcomes.

Forecasting 130

Forecasting Machine Learning Finance Predictive Analytics 130

CIO Business Intelligence

DECEMBER 19, 2024

In especially high demand are IT pros with software development, data science and machine learning skills. Skills in Python, R, TensorFlow, and Apache Spark enable professionals to build predictive models for energy usage, optimize resource allocation, and analyze environmental impacts.

IT 52

IT IoT Machine Learning Optimization 52

DataRobot Blog

JULY 22, 2022

At many organizations, the current framework focuses on the validation and testing of new models, but risk managers and regulators are coming to realize that what happens after model deployment is at least as important. Legacy Models. No predictive model — no matter how well-conceived and built — will work forever.

Modeling 105

Modeling Risk Management Testing Machine Learning 105

CIO Business Intelligence

JUNE 7, 2022

Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes. In business, predictive analytics uses machine learning, business rules, and algorithms.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

CIO Business Intelligence

MAY 28, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work.

Advertising 119

Advertising Machine Learning Software Measurement 119

CIO Business Intelligence

MARCH 22, 2023

Enter the new class ML data scientists require large quantities of data to train machine learning models. Then the trained models become consumers of vast amounts of data to gain insights to inform business decisions. In the training phase, the primary objective is to use existing examples to train a model.

Machine Learning 105

Machine Learning Cost-Benefit Modeling Risk 105

CIO Business Intelligence

SEPTEMBER 5, 2023

By embracing machine learning and predictive analytics from SAP, it has been able to build predictive models for abnormal events based on sensor data and feed them into user-friendly dashboards and e-mail notifications.

Technology 105

Technology Predictive Modeling Predictive Analytics Forecasting 105

datapine

JANUARY 31, 2022

For example, in regards to marketing, traditional advertising methods of spending large amounts of money on TV, radio, and print ads without measuring ROI aren’t working like they used to. Consumers have grown more and more immune to ads that aren’t targeted directly at them. The results? 4) Improve Operational Efficiency.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

JULY 24, 2023

The country’s premier football division, LaLiga, is leveraging artificial intelligence and machine learning (ML) to deliver new insights to players and coaches, and to transform how fans enjoy and understand the game. It has also developed predictive models to detect trends, make predictions, and simulate results.

Broadcasting 98

Broadcasting Recreation/Entertainment Testing Machine Learning 98

Domino Data Lab

AUGUST 12, 2021

In a previous blog , we have covered how Pandas Profiling can supercharge the data exploration required to bring our data into a predictive modelling phase. Data exploration is a very important step before jumping onto the machine learning wagon. We even get a description of the correlation measure chosen.

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

CIO Business Intelligence

MAY 10, 2022

By applying machine learning to the data, you can better predict customer behavior. Treasure Data CDP is a data science CDP built for predictive modeling and advanced analytics. It’s intended for data scientists seeking to extract insights from customer data and measure marketing performance. Types of CDPs.

Advertising 122

Advertising Interactive Marketing Structured Data 122

Cloudera

MAY 23, 2024

The Solution The Cloudera platform provides enterprise-grade machine learning, and in combination with Ollama, an open source LLM localization service, provides an easy path to building a customized KMS with the familiar ChatGPT style of querying. Langchain) and LLM evaluations (e.g.

Management 80

Management Metrics Data Processing Machine Learning 80

CIO Business Intelligence

AUGUST 20, 2024

All the while, robust security measures keep personal information safe and private. For example: City planning can be revolutionized through AI-driven urban digital twin models, predictive modeling, and simulations that empower city officials to make informed decisions, anticipate challenges, and proactively shape their future direction.

IT 122

IT Internet of Things IoT Data-driven 122

Smarten

AUGUST 6, 2024

If your business wishes to accommodate a ‘data-first’ strategy to improve metrics and measurable success and avoid guesswork and strategies that are based on opinion rather than fact, it can either employ a team of expensive professionals, or it can take a different approach.

Predictive Modeling 64

Predictive Modeling Key Performance Indicator Data-driven Finance 64

CIO Business Intelligence

JUNE 22, 2022

Real-time access to accurate data on customers that drives machine learning models are crucial to the accuracy of predictions or recommendations they make in real time. Just as important is the dimension of data accuracy or other measures of performance.

IoT 98

IoT IT Manufacturing Internet of Things 98

Cloudera

APRIL 27, 2022

Real-time access to accurate data on customers that drives machine learning models are crucial to the accuracy of predictions or recommendations they make in real time. Just as important is the dimension of data accuracy or other measures of performance.

IoT 99

IoT IT Manufacturing Internet of Things 99

Smarten

APRIL 25, 2024

Artificial Intelligence (AI) and Machine Learning (ML) elements support Citizen Data Scientists and help users prepare data, achieve automated data insights and create, share and use predictive models. These measures empower them with a deeper understanding of their data like never before.

Data Quality 64

Data Quality Analytics Machine Learning Visualization 64

DataRobot Blog

JULY 28, 2022

Rapid advances in machine learning in recent years have begun to lower the technical hurdles to implementing AI, and various companies have begun to actively use machine learning. The accuracy of machine learning models is highly dependent on the quality of the training data.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

BizAcuity

MARCH 18, 2019

Credit scoring systems and predictive analytics model attempt to quantify uncertainty and provide guidance for identifying, measuring and monitoring risk. Benefits of Predictive Analytics in Unsecured Consumer Loan Industry. The consumer lending business is centered on the notion of managing the risk of borrower default.

Predictive Analytics 83

Predictive Analytics Analytics Data mining Cost-Benefit 83

Jedox

MAY 17, 2022

Predictive analytics is a discipline that’s been around in some form since the dawn of measurement. We’ve always been trying to predict the future; go back in history to look at prognosticators like Nostradamus and many other prophets. What is Predictive Analytics?

Predictive Analytics 83

Predictive Analytics Finance Analytics Forecasting 83

IBM Big Data Hub

JUNE 29, 2023

First, availability measures the operational capacity of an asset over time. While reliability and availability are both measured in percentages, it’s possible—even likely—that these percentages will differ even when referring to the same piece of equipment.

Cost-Benefit 80

Cost-Benefit Measurement Predictive Analytics Management 80

Sisense

SEPTEMBER 9, 2019

We fed Kraken (BigSquid’s predictive analytics engine) information about historical warranty costs, claims, forecasts, historical product attributes, and attributes of the new products on the roadmap. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. It will be iterative.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Data-driven Forecasting 75

FineReport

JUNE 7, 2024

Innovations such as AI-driven analytics, interactive dashboards , and predictive modeling set these companies apart. Boasting a user-centric approach, Alteryx’s key features include drag-and-drop functionalities and predictive modeling capabilities.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52