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

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. Marketing Optimization. Quality Control. Demand Planning.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

CIO Business Intelligence

AUGUST 23, 2023

Optimization problems, for which a whole chorus of variables must be fine-tuned and modulated, routinely plague financial firms, especially when it comes to highly engineered financial products such as those developed through quantitative analysis. If there’s an industry steeped in computations, it’s the financial services sector.

IT 97

IT Machine Learning Risk Optimization 97

Cloudera

JUNE 27, 2023

During the COVID-19 pandemic, telcos made unprecedented use of data and data-driven automation to optimize their network operations, improve customer support, and identify opportunities to expand into new markets. Modernize data flows. Most telcos rely on legacy applications that create data silos and limit interoperability.

Data Architecture 65

Data Architecture Predictive Modeling Data Governance Data-driven 65

Smart Data Collective

SEPTEMBER 17, 2020

Financial and banking industries worldwide are now exploring new and intriguing techniques through which they can smoothly incorporate big data analytics in their systems for optimal results. Here are a few of the advantages of Big Data in the banking and financial industry: Improvement in risk management operations.

Big Data 139

Big Data Finance Risk Management Risk 139

DataRobot

OCTOBER 19, 2021

DataRobot applied an innovative, hybrid modeling approach, which combines mechanist epidemiological modeling with the enhanced predictive power of AI to identify COVID-19 hotspots months in advance by optimizing parameters daily to match rapidly changing dynamics of viral spread. reporting backlogs).

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

Smarten

JUNE 8, 2022

‘Citizen Data Scientists can create new models, share models and collaborate, thereby improving business results and data literacy.’. In this article, we provide some examples of what a Citizen Data Scientist can do to advance the goals and interests of the organization and optimize their productivity and performance.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

Smarten

MAY 17, 2019

Whether you need to anticipate and plan for equipment maintenance, target online customers, control customer churn, or identify ways to cross-sell and upsell customers on existing and new products and services, these predictive analytics tools can help you to optimize your marketing budget and your resources and mitigate risk and market missteps.

Predictive Analytics 66

Predictive Analytics Forecasting Analytics Predictive Modeling 66

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI. HYBRID & MULTI-CLOUD INNOVATION. SECURITY AND GOVERNANCE LEADERSHIP. PEOPLE FIRST.

Digital Transformation 71

Digital Transformation Machine Learning Optimization Data Lake 71

IBM Big Data Hub

MAY 17, 2024

But as businesses around the globe rapidly adopt the technology to augment processes from merchandising to order management, there is some risk. Generative AI can also help brands maintain consistency across all touchpoints, ensuring that product information is accurate, up-to-date and optimized for conversions. 

B2B 64

B2B Interactive Optimization Forecasting 64

FineReport

APRIL 9, 2024

Optimized Operational Efficiency: These tools streamline processes and resource allocation, leading to cost savings and improved resource utilization. The implementation of robust healthcare data management strategies is imperative to mitigate the risks associated with data breaches and non-compliance.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Smarten

MAY 17, 2019

These techniques can be beneficial for infrastructure planning, construction, highway planning and management, government, agriculture, weather, travel and city planning, and can help the business to plan for resources, locations, supply chain, marketing, inventory, pricing, risk management, maintenance and other planning activities.

Predictive Analytics 60

Predictive Analytics Analytics Predictive Modeling Risk Management 60

Sisense

MARCH 27, 2019

Finally, real-time BI helps better understand trends and create more accurate predictive models for organizations. There are several industries, sectors, and fields where using real-time BI can optimize an organization: Customer relationship management suites (CRMs) can use real-time data to provide better service for consumers.

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

Smarten

MAY 16, 2019

Perhaps the greatest risk to a lending organization is that presented by loan applicants who are unprepared to fulfill the long-term obligation of paying off a loan. Use Assisted Predictive Modeling to define the perfect loan applicant profile and to monitor and manage existing loans to anticipate and mitigate loan defaults.

Predictive Analytics 40

Predictive Analytics Analytics Predictive Modeling Insurance 40

Smarten

MAY 16, 2019

In the interim, there is loss of productivity and the risk of crucial mistakes. Augmented analytics can also identify the need for training, the types of jobs that are most at risk of frequent turnover, the key skills for a particular position and the probability of advancement. Marketing Optimization. Customer Targeting.

Predictive Analytics 53

Predictive Analytics Analytics Predictive Modeling Cost-Benefit 53

Smarten

MAY 13, 2019

The cost of acquiring a new customer includes marketing and advertising, resources and personnel, customer support, search engine optimization and more. Use Predictive Analytics to identify at risk customers and issues that will impact customer churn and customer retention. Marketing Optimization. Fraud Mitigation.

Predictive Analytics 53

Predictive Analytics Analytics Predictive Modeling Advertising 53

Business Over Broadway

SEPTEMBER 27, 2018

pharmacogenomics) and risk assessment of genetic disorders (e.g., Analytics applied to these types of data help you generate better predictive models because your integrated data contain all the key variables that are useful in predicting customer churn. Machine Learning and Predictive Modeling of Customer Churn.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Smart Data Collective

SEPTEMBER 30, 2021

Drought Risk Assessment and Prediction. 2 Through artificial intelligence-based prediction, there can be improvement in decision making regarding droughts and better methods and timing employed to ensure optimal water resource allocation and disseminating information ahead of drought events.

Machine Learning 120

Machine Learning Cost-Benefit Optimization Forecasting 120

IBM Big Data Hub

JUNE 29, 2023

Enterprises are constantly looking for new ways to optimize performance, increase reliability and extend asset lifespans—all without adding unnecessary costs. This information is then used to build predictive models of an asset’s performance over time and help spot potential problems before they arise.

Cost-Benefit 80

Cost-Benefit Measurement Predictive Analytics Management 80

CIO Business Intelligence

OCTOBER 5, 2023

CBRE has also used AI to optimize portfolios for several clients, and recently launched a self-service generative AI product that enables employees to interact with CBRE and external data in a conversational manner. For AI, the high-value quadrant is where you’ll find most predictive modeling.

Experimentation 128

Experimentation Strategy Machine Learning Interactive 128

CIO Business Intelligence

DECEMBER 13, 2022

We’re also doing a lot with population health management, performing more comprehensive patient assessments, managing our high-risk patients, stabilizing transitions of care, optimizing outpatient care, and really trying to call out things that help us understand disease progression.

Strategy 98

Strategy Technology Digital Transformation Data Lake 98

DataKitchen

JUNE 19, 2023

This pillar emphasizes the importance of implementing thorough data validation tests to mitigate the risks of erroneous analysis or decision-making based on faulty data. The above image shows an example custom ‘data in use’ test of a predictive model and API. The value here is improved end-user experienc e.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

Smarten

AUGUST 21, 2019

Assisted Predictive Modeling – These tools enable the average business user to leverage sophisticated predictive algorithms without requiring statistical or data science skills. Users can highlight trends and patterns, test hypotheses and theories to reduce business risk, and easily predict and forecast results.

Analytics 53

Analytics Predictive Modeling Visualization Statistics 53

IBM Big Data Hub

MAY 6, 2024

Predicting site performance, spotting underperforming sites and formulating timely interventions are essential. Optimize protocols using historical and synthetic data Complex and stringent protocols are notorious for delaying clinical trials and eroding patient engagement.

Advertising 80

Advertising Data-driven Optimization Forecasting 80

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. Banks and other lenders can use ML classification algorithms and predictive models to suggest loan decisions.

Cost-Benefit 82

Cost-Benefit Insurance Unstructured Data Machine Learning 82

Smarten

JANUARY 31, 2019

Today’s Advanced Analytics Tools allow business users to leverage features like self-serve data preparation, smart data visualization and assisted predictive modeling. Advanced Analytics is the logical tool to help a business optimize its investments and achieve its goals.

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

Domino Data Lab

JULY 28, 2021

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. All models are not made equal.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Smarten

JANUARY 8, 2019

Assisted predictive modeling suggests techniques to analyze data that will result in the right outcome for the goals of the analysis. Business users get support for day-to-day decisions and can quickly and easily test theories and hypotheses in a risk-free environment.

Analytics 40

Analytics Predictive Modeling Visualization Business Analysis 40

DataRobot Blog

JUNE 23, 2022

Your artificial intelligence (AI) system has given you this “predicted feature” in addition to what you already know about the applicant. Business rules set by the credit committee to control business risk and the loan portfolio also constrain accepting this application and advancing the loan. Take Action.

Predictive Modeling 59

Predictive Modeling Modeling Data Science Measurement 59

Smarten

APRIL 2, 2019

Advanced analytics is the logical tool to help a business optimize its investments and achieve its goals. But, when an organization is ready to consider the implementation of an Advanced Analytics solution, it is difficult to know what it needs to ensure that it can satisfy current and future requirements and ensure user adoption.

Analytics 40

Analytics Predictive Modeling Visualization Cost-Benefit 40

IBM Big Data Hub

AUGUST 28, 2023

Text representation In this stage, you’ll assign the data numerical values so it can be processed by machine learning (ML) algorithms, which will create a predictive model from the training inputs. A targeted approach will optimize the user experience and enhance an organization’s ROI.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). Banks and other financial institutions train ML models to recognize suspicious online transactions and other atypical transactions that require further investigation. Many stock market transactions use ML.

Machine Learning 48

Machine Learning Marketing Forecasting Modeling 48

BizAcuity

APRIL 25, 2022

To fully utilize the benefit, high-end algorithms are deployed on digital assets and then data analysis is done to produce optimized marketing campaigns. Predictive Analytics. There is a need for a predictive analytics tool that can individually target each customer at right time to drive additional revenue. Floor Optimization.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

Smarten

JUNE 25, 2018

Loan applicants in a bank might be grouped as low, medium, and high risk applicants based on applicant age, annual income, employment tenure, loan amount, the number of times a payment is delinquent etc. About Smarten.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

IBM Big Data Hub

JULY 6, 2023

Some examples of data science use cases include: An international bank uses ML-powered credit risk models to deliver faster loans over a mobile app. An AI-based medical assessment platform analyzes medical records to determine a patient’s risk of stroke and predict treatment plan success rates.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Smarten

MAY 13, 2019

While one may think of fraud most commonly associated with financial and banking organizations or IT functions or networks, industries like healthcare, government and public sector are also at risk. Businesses that are proactive in identifying these risks can better optimize resources and respond to changing trends and patterns.

Predictive Analytics 11

Predictive Analytics Analytics Predictive Modeling Risk 11

DataRobot Blog

NOVEMBER 9, 2017

I’ve spent the last 2+ years working with business analysts and MBA’s to build predictive models. Improve the way your organization maintains its equipment using predictive maintenance. Optimize the way you organization sets sales targets by predicting pipeline for the coming year. You’ve got to start somewhere.

Machine Learning 52

Machine Learning Data-driven Software Sales 52