datapine

NOVEMBER 27, 2019

Hotels try to predict the number of guests they can expect on any given night in order to adjust prices to maximize occupancy and increase revenue. The predictive models, in practice, use mathematical models to predict future happenings, in other words, forecast engines. 5) Collaborative Business Intelligence.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

FEBRUARY 6, 2025

The hype around large language models (LLMs) is undeniable. Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. In retail, they can personalize recommendations and optimize marketing campaigns. They leverage around 15 different models. Theyre impressive, no doubt.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

AWS Big Data

AUGUST 21, 2024

To address this requirement, Redshift Serverless launched the artificial intelligence (AI)-driven scaling and optimization feature, which scales the compute not only based on the queuing, but also factoring data volume and query complexity. The slider offers the following options: Optimized for cost – Prioritizes cost savings.

Optimization 100

Optimization Data Lake Data Warehouse Cost-Benefit 100

O'Reilly on Data

SEPTEMBER 15, 2020

In my book, I introduce the Technical Maturity Model: I define technical maturity as a combination of three factors at a given point of time. Outputs from trained AI models include numbers (continuous or discrete), categories or classes (e.g., spam or not-spam), probabilities, groups/segments, or a sequence (e.g.,

Advertising 362

Advertising Cost-Benefit ROI Machine Learning 362

O'Reilly on Data

SEPTEMBER 19, 2023

Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” And it was good.

Machine Learning 339

Machine Learning Testing Modeling Cost-Benefit 339

Smarten

JUNE 20, 2023

Citizen Data Scientists Can Use Assisted Predictive Modeling to Create, Share and Collaborate! Gartner has predicted that, ‘40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’ The team can share the models and, in so doing, learn from the process.

Predictive Modeling 52

Predictive Modeling Modeling Forecasting Data Science 52

Smarten

JANUARY 3, 2020

Assisted Predictive Modeling Delivers Predictive Analytics to Business Users! When we use terms like ‘predictive analytics’, it sometimes puts off the general business population. While predictive analytics techniques and predictive modeling does include complicated algorithms.

Predictive Modeling 52

Predictive Modeling Modeling Predictive Analytics Forecasting 52

O'Reilly on Data

JUNE 18, 2019

There has been a significant increase in our ability to build complex AI models for predictions, classifications, and various analytics tasks, and there’s an abundance of (fairly easy-to-use) tools that allow data scientists and analysts to provision complex models within days. Data integration and cleaning.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Financial services: Develop credit risk models. from 2022 to 2028.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Cloudera

DECEMBER 4, 2024

To unlock the full potential of AI, however, businesses need to deploy models and AI applications at scale, in real-time, and with low latency and high throughput. The Cloudera AI Inference service is a highly scalable, secure, and high-performance deployment environment for serving production AI models and related applications.

Metrics 73

Metrics Data Processing Machine Learning Deep Learning 73

Smarten

JULY 9, 2018

Create Citizen Data Scientists with Assisted Predictive Modeling! You need Assisted Predictive Modeling (Plug n’ Play Predictive Analysis with auto-suggestions and recommendations). The Plug and Play Predictive Analytics and predictive modeling platform is suitable for business users.

Predictive Modeling 40

Predictive Modeling Modeling Predictive Analytics ROI 40

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 139

Predictive Analytics Analytics Predictive Modeling Data mining 139

Smarten

JANUARY 15, 2019

How Can I Leverage Assisted Predictive Modeling to Benefit My Business? Some people hear the term ‘assisted predictive modeling’ and their eyes cross. Analyze, share and optimize business potential. Explore Assisted Predictive Modeling and find out how it can benefit your organization.

Predictive Modeling 40

Predictive Modeling Modeling Forecasting Predictive Analytics 40

Smarten

MARCH 31, 2019

There are a myriad of predictive analytics techniques and predictive modeling algorithms and you can’t expect your business users to understand and use them. Business users need Assisted Predictive Modeling that can make suggestions on which algorithms and techniques to use for a certain type of data.

Predictive Modeling 40

Predictive Modeling Modeling Predictive Analytics Forecasting 40

CIO Business Intelligence

JANUARY 19, 2024

The exam covers everything from fundamental to advanced data science concepts such as big data best practices, business strategies for data, building cross-organizational support, machine learning, natural language processing, scholastic modeling, and more. and SAS Text Analytics, Time Series, Experimentation, and Optimization.

Data Science 126

Data Science Machine Learning Predictive Modeling Forecasting 126

Smarten

MAY 16, 2019

Without a fundamental understanding of how a customer makes a buying decision and how customers choose a product or service, the marketing and advertising process is based only on guesswork, and that guesswork is bound to result in lost revenue and poor optimization of the marketing budget. Learn More: Marketing Optimization.

Predictive Analytics 58

Predictive Analytics Optimization Marketing Analytics 58

CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. 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

Dataiku

MAY 21, 2021

In this series, we explore constructing a fantasy sports roster as an example use case of an organization having to optimally allocate resources. Here in part one, we introduce the topic of optimization in enterprise contexts and begin building an end-to-end solution with data exploration and predictive analytics in Dataiku.

Predictive Modeling 59

Predictive Modeling Modeling Predictive Analytics Optimization 59

DataKitchen

SEPTEMBER 21, 2023

L1 is usually the raw, unprocessed data ingested directly from various sources; L2 is an intermediate layer featuring data that has undergone some form of transformation or cleaning; and L3 contains highly processed, optimized, and typically ready for analytics and decision-making processes.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Rocket-Powered Data Science

FEBRUARY 12, 2021

IA incorporates feedback, learning, improvement, and optimization in the automation loop. Interest in AI is high and growing, specifically in the areas of smart analytics, customer-centricity, chatbots, and predictive modeling. The average ROI from RPA/IA deployments is 250%.

ROI 234

ROI Digital Transformation Reporting Machine Learning 234

KDnuggets

AUGUST 22, 2019

We developed an optimal prediction model from correlations in the time and status of ownership as well as the time of the year of sales fluctuations. Using the ATTOM dataset, we extracted data on sales transactions in the USA, loans, and estimated values of property.

Sales 103

Sales Technology Predictive Modeling Optimization 103

CIO Business Intelligence

OCTOBER 2, 2024

Cities are embracing smart city initiatives to address these challenges, leveraging the Internet of Things (IoT) as the cornerstone for data-driven decision making and optimized urban operations. Smart home devices are also integrated with energy management systems to optimize consumption and costs. from 2023 to 2028.

IoT 123

IoT Internet of Things Predictive Modeling Data-driven 123

CIO Business Intelligence

MAY 21, 2024

With the generative AI gold rush in full swing, some IT leaders are finding generative AI’s first-wave darlings — large language models (LLMs) — may not be up to snuff for their more promising use cases. With this model, patients get results almost 80% faster than before. It’s fabulous.”

IT 131

IT Cost-Benefit Experimentation Forecasting 131

CIO Business Intelligence

JUNE 14, 2023

The certification focuses on the seven domains of the analytics process: business problem framing, analytics problem framing, data, methodology selection, model building, deployment, and lifecycle management. They can also transform the data, create data models, visualize data, and share assets by using Power BI.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

CIO Business Intelligence

DECEMBER 19, 2024

Additionally, nuclear power companies and energy infrastructure firms are hiring to optimize and secure energy systems, while smart city developers need IoT and AI specialists to build sustainable and connected urban environments, Breckenridge explains.

IT 52

IT IoT Machine Learning Optimization 52

CIO Business Intelligence

AUGUST 20, 2024

The promise of the smarter city Smart cities offer the promise of a thriving urban ecosystem that seamlessly blends technology, systems, and people to optimize everything from traffic flow to energy consumption.

IT 122

IT Internet of Things IoT Data-driven 122

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

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

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. Model Visibility.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

datapine

JANUARY 31, 2022

This benefit goes directly in hand with the fact that analytics provide businesses with technologies to spot trends and patterns that will lead to the optimization of resources and processes. As mentioned above, one of the great benefits of business intelligence and analytics is the ability to make informed data-based decisions.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Smarten

FEBRUARY 7, 2020

Assisted Predictive Modeling: The Word ‘Assisted’ is the Key! Assisted predictive modeling! It is true that without the skills and knowledge of a data scientist or a business analyst, predictive analysis can be a daunting task. The term sounds complex and intimidating, doesn’t it? The word ‘assisted’ is the key!

Predictive Analytics 69

Predictive Analytics Predictive Modeling Analytics Software 69

Smarten

JULY 30, 2024

Assisted Predictive Modeling Enables Business Users to Predict Results with Easy-to-Use Tools! Gartner predicted that, ‘75% of organizations will have deployed multiple data hubs to drive mission-critical data and analytics sharing and governance.’

Predictive Analytics 64

Predictive Analytics Prescriptive Analytics Predictive Modeling Analytics 64

CIO Business Intelligence

MARCH 19, 2025

Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

IT 59

IT Data Governance Data-driven Metrics 59

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Another way of saying this is: given some desired optimal outcome Y, what conditions X should we put in place.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

Smarten

JANUARY 28, 2020

Predictive analytics is more refined, more dependable and more comprehensive than ever. The foundation for predictive analysis is a great predictive analytics tool, and features and function that include assisted predictive modeling.

Predictive Analytics 69

Predictive Analytics Software Predictive Modeling Analytics 69

DataRobot

JANUARY 20, 2022

Analysts, data scientists, and citizen data champions can access data and advanced insights on-demand from all ICS partner organizations and collaborate on dataset and model development in real-time. As ICSs mature digitally, there is a need to ensure that all processes, datasets, and models are transparent and are free from bias. –

Data-driven 145

Data-driven Experimentation Predictive Modeling Data Warehouse 145

CIO Business Intelligence

JUNE 5, 2024

The data is feeding AI predictions around everything from the optimal batting lineup against a starting pitcher, and optimal defensive positioning against a given batter facing a given pitcher, to injury prediction. Positioning revolutionized a lot of our defensive models.”

Optimization 125

Optimization Predictive Modeling Data-driven Modeling 125