BizAcuity

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. With the exponential growth of large datasets, predictive analytics is being leveraged by enterprises across industries.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. AI models analyze vast amounts of data quickly and accurately.

B2B 67

B2B Interactive Optimization Forecasting 67

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 90

IT Machine Learning Risk Optimization 90

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

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. Appliance-based models are usually significantly more expensive than disaggregated solutions. Modernize data flows.

Data Architecture 62

Data Architecture Predictive Modeling Data Governance Data-driven 62

DataRobot

OCTOBER 19, 2021

DataRobot helped combat this problem head on by applying AI to evaluate and predict resource allocation and identify the most impacted communities from a national to county level. On average, DataRobot forecasts had a 21 percent lower rate of error than all other published competing models over a six to eight week period.

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

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 142

Big Data Finance Risk Management Risk 142

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 69

Advertising Data-driven Optimization Strategy 69

DataKitchen

JUNE 19, 2023

Our customers start looking at the data in dashboards and models and then find many issues. 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. In our experience, the locus of those problems changes over time.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

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. Let’s start with the models. For AI, the high-value quadrant is where you’ll find most predictive modeling.

Experimentation 129

Experimentation Strategy Machine Learning Interactive 129

IBM Big Data Hub

FEBRUARY 14, 2024

Other uses include Netflix offering viewing recommendations powered by models that process data sets collected from viewing history; LinkedIn uses ML to filter items in a newsfeed, making employment recommendations and suggestions on who to connect with; and Spotify uses ML models to generate its song recommendations.

Cost-Benefit 85

Cost-Benefit Insurance Unstructured Data Machine Learning 85

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 65

Predictive Analytics Forecasting Analytics Predictive Modeling 65

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

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 65

Digital Transformation Machine Learning Optimization Data Lake 65

Sisense

MARCH 27, 2019

Unlike traditional models that look at historical data for patterns, real-time analytics focuses on understanding information as it arrives to help make faster, better decisions. Finally, real-time BI helps better understand trends and create more accurate predictive models for organizations. Who Uses Real-Time BI?

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

CIO Business Intelligence

DECEMBER 13, 2022

Our digital transformation strategy is centered around establishing a consumer-oriented model that helps us customize chronic care management based on the ever-changing conditions of each patient.” Everyone looks to leadership to be role models and set examples. Second, I think flexibility is crucial. For us, that’s a balance.

Strategy 98

Strategy Technology Digital Transformation Data Lake 98

Business Over Broadway

SEPTEMBER 27, 2018

pharmacogenomics) and risk assessment of genetic disorders (e.g., In this scenario, marketing analytics can only be conducted within one data silo at a time, decreasing your model’s predictive power / increasing your model’s error. Machine Learning and Predictive Modeling of Customer Churn.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

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 58

Predictive Analytics Analytics Predictive Modeling Risk Management 58

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. A simple example is the case of missing values.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

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 84

Cost-Benefit Measurement Management Predictive Analytics 84

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 51

Predictive Analytics Analytics Predictive Modeling Cost-Benefit 51

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 51

Predictive Analytics Analytics Predictive Modeling Advertising 51

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

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. Go Beyond Predictions. Learn More.

Predictive Modeling 59

Predictive Modeling Modeling Data Science Measurement 59

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Data mining 56

Data mining Machine Learning Deep Learning Marketing 56

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 51

Analytics Predictive Modeling Visualization Statistics 51

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). Reinforcement learning uses ML to train models to identify and respond to cyberattacks and detect intrusions. ML algorithms can predict patterns, improve accuracy, lower costs and reduce the risk of human error.

Machine Learning 49

Machine Learning Marketing Forecasting Modeling 49

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Because data analysts often build machine learning models, programming and AI knowledge are also valuable. Deep learning algorithms are neural networks modeled after the human brain.

Machine Learning 56

Machine Learning Data Science Statistics Deep Learning 56

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

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

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

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

DataRobot Blog

NOVEMBER 9, 2017

I’ve spent the last 2+ years working with business analysts and MBA’s to build predictive models. You could: Change the way your company handles sales prospects by ranking them with a machine learning model. Improve the way your organization maintains its equipment using predictive maintenance.

Machine Learning 52

Machine Learning Data-driven Software Sales 52

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