CIO Business Intelligence

JUNE 7, 2022

It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance.

Data Analytics 132

Data Analytics Diagnostic Analytics Management Analytics 132

Smarten

FEBRUARY 1, 2024

Manuals and Technical Guides Smarten-User-Manual-SmartenView Smarten-Working-with-Sentiment-Analysis Smarten-Managed-Memory-Computing-Concept If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. Others : General : How to add SSL certificate to the Smarten BI Portal?

Predictive Modeling 62

Predictive Modeling Publishing Testing Modeling 62

Smarten

NOVEMBER 6, 2018

This video looks at a scenario where data on workforce comprising of education, years with the organisation, number of wholesale stockiest managed by the individual, CAGR in sales for individual and value of sales is analysed to determine which factor impacts the sales and to what extent. More criteria can be added to this model.

Sales 40

Sales Predictive Modeling Modeling Strategy 40

IBM Big Data Hub

MAY 16, 2023

To help companies better deliver on their marketing vision and scale their marketing business processes, managed marketing services (MMS) offshore has become a fast growing trend. What are managed marketing services (MMS)? Managed marketing services provide the hyper-personalization needed to build customer loyalty and reduce churn.

Marketing 72

Marketing Management Optimization Cost-Benefit 72

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 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

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 143

Predictive Analytics Analytics Predictive Modeling Forecasting 143

Jedox

APRIL 16, 2020

We are pleased to welcome Mr. Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. What does your economic forecast look like for the foreseeable future? Capitalizing on Familiarity.

Uncertainty 94

Uncertainty Management Forecasting Predictive Modeling 94

Smarten

APRIL 10, 2023

Investment in predictive analytics benefits everyone in the organization, including business users and team members, data scientists and the organization in general. Instead, they can use assisted predictive modeling to improve business agility and align processes, activities and tasks with business objectives and goals.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

Smarten

AUGUST 5, 2022

Can Predictive Analytics Provide Accurate Results for My Business Without Burdening My Users? If your business is struggling to forecast and predict outcomes and results, your management team is probably considering predictive analytics. Understanding Assisted Predictive Modeling.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Forecasting 52

Cloudera

OCTOBER 14, 2020

Running a large commercial airline requires the complex management of critical components, including fuel futures contracts, aircraft maintenance and customer expectations. Step 1: Using the training data to create a model/classifier. Fig 2: Diagram showing how CML is used to build ML training models. Introduction. The Process.

Machine Learning 97

Machine Learning Modeling Cost-Benefit Testing 97

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

Smarten

MARCH 1, 2023

Knowledgebase Articles Scheduler Management : Reinitiate Missed Tasks for Dataset Rebuild and Delivery Publishing Tasks Smarten Application Security : Password patterns and configurations in Smarten Smarten Application Security : HTTP Method Vulnerability and solutions Predictive Use cases Customer Churn model using Smarten Assisted Predictive Modelling (..)

Predictive Modeling 67

Predictive Modeling Dashboards Publishing Modeling 67

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 131

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 131

Smarten

JUNE 7, 2023

Knowledgebase Articles Performance and Tuning : Managing IO Throughput for EFS on an Amazon EC2 Instance Teamup : Configure TeamUp Installation & Deployment : Bypassing Smarten executable files from Antivirus Scan Predictive Use cases Customer Churn model using Smarten Assisted Predictive Modelling Handling Multicollinearity using Smarten Augmented (..)

Predictive Modeling 73

Predictive Modeling Modeling Reporting Management 73

Smarten

AUGUST 16, 2022

Scheduler Management : Reinitiate Missed Tasks for Dataset Rebuild and Delivery Publishing Tasks. Predictive Use cases. Customer Churn model using Smarten Assisted Predictive Modelling. Handling Outliers Using Smarten Assisted Predictive Modelling. Knowledgebase Articles. Forum Topics.

Predictive Modeling 67

Predictive Modeling Publishing Modeling Management 67

IBM Big Data Hub

NOVEMBER 29, 2023

This collaborative effort was strengthened by IBM cross-team engagement, enablement and support with customer success managers, tech specialists and IBM Consulting® Through a series of workshops and 2 sprints, Downer and IBM embarked on a journey of discovery and innovation. Downer was able to streamline modeling times with watsonx.ai

Predictive Modeling 68

Predictive Modeling Data-driven Forecasting Modeling 68

Decision Management Solutions

JANUARY 16, 2020

executive editor of The Machine Learning Times and founder of the Predictive Analytics World and Deep Learning World conference series, discusses the pitfalls of predictive analytics in his article, “ Why Operationalizing Machine Learning Requires a Shrewd Business Perspective.” This is ultimately a management error.

Machine Learning 87

Machine Learning Predictive Modeling Predictive Analytics Deep Learning 87

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. Retail Industry Transformation : A leading retail chain implemented a robust BI platform to analyze customer purchasing patterns and inventory management.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

CIO Business Intelligence

MAY 17, 2022

The new features include simplified self-service tools like Data Stories, smart suggestions through Einstein Discovery, and collaboration tools to work on shared data models. Aside from the more eye-catching analytics capabilities, Tableau is also adding some new data governance and management features to Tableau Cloud.

IT 96

IT Predictive Modeling Machine Learning Dashboards 96

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ It is meant to identify crucial relationships and opportunities and risks and help the organization to accurately predict: Growth.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

CIO Business Intelligence

DECEMBER 11, 2023

This can include steps like replacing the traditional net present value/discounted cash flow calculator with multi-scenario models to stress-test multiple different forecasts under countless different scenarios. Learn more about how EXL can put generative AI to work for your business here.

Finance 99

Finance Forecasting IoT Predictive Modeling 99

Jedox

APRIL 16, 2020

We are pleased to welcome Mr. Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. What does your economic forecast look like for the foreseeable future? Capitalizing on Familiarity.

Uncertainty 52

Uncertainty Management Forecasting Predictive Modeling 52

O'Reilly on Data

MAY 18, 2020

This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk. All predictive models are wrong at times?—just

Risk 359

Risk Modeling Data Processing Software 359

Smarten

SEPTEMBER 28, 2022

In order to understand how businesses might use assisted predictive modeling and predictive analytics, let’s look at some business use cases and how analytical techniques can help the enterprise derive concise, clear information to support decisions and strategies. Maintenance Management. Crime Type Prediction.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

IBM Big Data Hub

APRIL 1, 2024

Stacking strong data management, predictive analytics and GenAI is foundational to taking your product organization to the next level. With IBM watsonx™ Assistant, companies can build large language models and train them using proprietary information, all while helping to ensure the security of their data.

Predictive Analytics 82

Predictive Analytics Sales Enterprise Predictive Modeling 82

DataKitchen

JUNE 19, 2023

Our customers start looking at the data in dashboards and models and then find many issues. These elements contribute to a fuller understanding of the operational landscape, enabling proactive management and issue mitigation. The above image shows an example custom ‘data in use’ test of a predictive model and API.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

IBM Big Data Hub

AUGUST 22, 2023

It uses real-world data (both real time and historical) combined with engineering, simulation or machine learning (ML) models to enhance operations and support human decision-making. Traditional AI models versus foundation models These capabilities can help to continuously determine the state of the physical object.

Unstructured Data 77

Unstructured Data Consulting Visualization IoT 77

IBM Big Data Hub

MAY 18, 2023

This report outlines the combination of traditional decision automation tools with machine learning models and other technologies. It provides a low-code environment where business experts can manage decision automation projects and apply their knowledge to model decisions without extensive coding or deep AI knowledge.

Reporting 92

Reporting Scorecard Predictive Modeling Machine Learning 92

Cloudera

JUNE 27, 2023

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. Appliance-based models are usually significantly more expensive than disaggregated solutions.

Data Architecture 61

Data Architecture Predictive Modeling Data Governance Data-driven 61

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. Predictive modeling for flagging suspicious activity Predictive analytics can be used to analyze past customer behavior and transactions to identify patterns that may indicate potential money laundering activity.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

CIO Business Intelligence

OCTOBER 5, 2023

Over time, using machine learning and AI, CBRE has managed to reduce manual lease processing times by 25% and cut positive false alarms in managed commercial facilities by 65%. Let’s start with the models. For AI, the high-value quadrant is where you’ll find most predictive modeling.

Experimentation 125

Experimentation Strategy Machine Learning Interactive 125

Decision Management Solutions

OCTOBER 5, 2021

. ” In this class, you will learn how to deploy, integrate, and act upon the predictive models of machine learning. This class teaches you how to use decision modeling to frame machine learning projects and evaluate the effectiveness of your machine learning models in business terms.

Machine Learning 52

Machine Learning Predictive Modeling Modeling Management 52

Smarten

APRIL 12, 2023

SnapShot provides an English auto generated interpretation of trends, contributions, anomalies and volatility and enables management by exception by sending alerts via email only when an established target threshold is breached.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

BizAcuity

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. Predictive modeling for flagging suspicious activity. Predictive analytics can be used to analyze past customer behavior and transactions to identify patterns that may indicate potential money laundering activity.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

CIO Business Intelligence

OCTOBER 13, 2023

Responsibilities include building predictive modeling solutions that address both client and business needs, implementing analytical models alongside other relevant teams, and helping the organization make the transition from traditional software to AI infused software.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

CIO Business Intelligence

JULY 24, 2023

With our first agreement, we started becoming a technology, data-oriented, and cloud organization,” says Ana Rosa Victoria Bruno, innovation manager at LaLiga, one of the world’s top football leagues, with a worldwide audience of more than 2.8 It has also developed predictive models to detect trends, make predictions, and simulate results.

Broadcasting 89

Broadcasting Recreation/Entertainment Testing Machine Learning 89

Decision Management Solutions

DECEMBER 14, 2021

In this class, you will learn how to deploy, integrate, and act upon the predictive models of machine learning. This class teaches you how to use decision modeling to frame machine learning projects and evaluate the effectiveness of your machine learning models in business terms. Come join us for one or both classes.

Machine Learning 40

Machine Learning Predictive Modeling Modeling Management 40