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. How Machine Learning Helps Detect and Prevent AML. Predictive Analytics. Exploratory Data Analysis (EDA).

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smart Data Collective

JUNE 19, 2022

AI is particularly helpful with managing risks. Many suppliers are finding ways to use AI and data analytics more effectively. How AI Can Help Suppliers Manage Risks Better. Here are some of the risks that organizations face in dealing with suppliers, and what they can do to mitigate those risks with artificial intelligence.

Risk 133

Risk Cost-Benefit Risk Management Manufacturing 133

Smart Data Collective

JUNE 18, 2021

Machine learning technology has been instrumental to the future of the criminal justice system. We have previously talked about the role of predictive analytics in helping solve crimes. Fortunately, machine learning and predictive analytics technology can also help on the other side of the equation.

Predictive Analytics 67

Predictive Analytics Forecasting Analytics Big Data 67

Smarten

MAY 31, 2022

Team members who have access to augmented analytics and assisted predictive modeling can plan better, predict more accurately and dependably meet goals and objectives. It is meant to identify crucial relationships and opportunities and risks and help the organization to accurately predict: Growth. Market Changes.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

BizAcuity

MARCH 18, 2019

The consumer lending business is centered on the notion of managing the risk of borrower default. 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.

Predictive Analytics 83

Predictive Analytics Analytics Cost-Benefit Data mining 83

Cloudera

JULY 18, 2018

It is fair to say that healthcare faces many challenges, including developing, deploying, and integrating machine learning and artificial intelligence (AI) into clinical workflow and care delivery. Together in tandem with MetiStream, a healthcare analytics software company, Cloudera addresses many of these challenges.

Machine Learning 51

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 51

BizAcuity

APRIL 28, 2019

Today, it’s no secret that most forward-thinking businesses are keenly following the latest developments on big data, artificial intelligence, machine learning, and predictive analytics. Predictive Analytics, a form of advanced analytics is also making great breakthroughs in the solving the debt collection problem.

Predictive Analytics 98

Predictive Analytics Analytics Big Data Data mining 98

Smart Data Collective

JUNE 20, 2019

In other ways, it has created new risks. The same can be said about predictive analytics. AISHWARYA SINGH from Analytics Vidyha points out that new advances in predictive analytics technology are reshaping financial trading. What are the potential benefits of predictive analytics in futures trading?

Predictive Analytics 55

Predictive Analytics Analytics Machine Learning Risk 55

Smart Data Collective

DECEMBER 5, 2019

In June, Aviation Today published a great article on the state of machine learning and AI in the airline industry. The article showed that machine learning and AI are helping the industry become more lucrative in the 21 st Century. Machine Learning is the Key to Saving the Ailing Airline Industry.

Machine Learning 65

Machine Learning Cost-Benefit Strategy Marketing 65

CIO Business Intelligence

APRIL 8, 2024

In the years since author Michael Lewis popularized sabermetrics in his 2003 book, Moneyball: The Art of Winning an Unfair Game , sports analytics has evolved considerably beyond baseball. Computer vision, AI, and machine learning (ML) all now play a role. Souza’s advice: Cultivate curiosity. “One

Analytics 101

Analytics Broadcasting Predictive Analytics Metrics 101

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. pharmacogenomics) and risk assessment of genetic disorders (e.g., Machine Learning and Predictive Modeling of Customer Churn.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Octopai

JUNE 9, 2024

The goal was to develop sophisticated data products, such as predictive analytics models to forecast patient needs, patient care optimization tools, and operational efficiency dashboards. This situation posed legal risks and threatened the organization’s reputation. The lack of trust in data created inertia.

IT 52

IT Data-driven Data Strategy Predictive Analytics 52

CIO Business Intelligence

FEBRUARY 28, 2024

Using these models, healthcare providers can test drugs and therapies with unprecedented speed and accuracy, reducing risks for both patients and physicians. Essentially, the technology involves the replication of the human body in software models.

Informatics 104

Informatics Data-driven Digital Transformation Predictive Analytics 104

CIO Business Intelligence

JUNE 7, 2022

Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. 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.

Data Analytics 131

Data Analytics Diagnostic Analytics Management Analytics 131

Smart Data Collective

JULY 12, 2021

Amazing technological innovations such as machine learning can help you easily identify the trends that are and re-strategize your style of trading. Helps Understand Risk with Predictive Analytics. Data analysis can help you develop predictive analytics that can be used to assess risk.

Big Data 129

Big Data Marketing Predictive Analytics Risk 129

Cloudera

SEPTEMBER 22, 2022

In this post, I’ll explore opportunities to enhance risk assessment and underwriting, especially in personal lines and small and medium-sized enterprises. To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. Step two: expand machine learning and AI.

Analytics 102

Analytics Insurance IoT Risk 102

Smart Data Collective

APRIL 20, 2023

AIs can do this by taking advantage of machine learning algorithms. Predictive Analytics Thanks to machine learning, an AI can perform predictive analytics. Predictive Analytics Thanks to machine learning, an AI can perform predictive analytics.

Cost-Benefit 82

Cost-Benefit Predictive Analytics Optimization Machine Learning 82

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Leveraging data where it lies.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

CIO Business Intelligence

SEPTEMBER 19, 2023

Rolls-Royce has also found use for AI in predictive maintenance to improve the efficiency of jet engines and reduce the amount of carbon their planes produce, while also streamlining maintenance schedules through predictive analytics. Artificial Intelligence, Chatbots, IT Strategy, Predictive Analytics

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

Smart Data Collective

SEPTEMBER 6, 2023

Many financial institutions are already using these types of predictive analytics models to fight fraud. This proactive approach to fraud detection can significantly reduce the risk of e-commerce fraud, protecting businesses and their customers.

Software 104

Software Digital Transformation Measurement Predictive Analytics 104

IBM Big Data Hub

FEBRUARY 19, 2024

To mitigate these risks , companies need the resources and technology to develop robust contingency plans. Fewer disruptions : A healthy supply chain mitigates risks and protects against inevitable disruption. Because finding the right suppliers can be challenging, some businesses turn to technology to help.

Strategy 82

Strategy Management Forecasting Cost-Benefit 82

CIO Business Intelligence

FEBRUARY 27, 2024

AI and machine learning (ML) also have a crucial role to play in the evolution toward greater operational simplicity. AI-assisted automation can eliminate many manual tasks, reducing the risk of human error, which accounts for the most common network issues.

Risk 85

Risk Predictive Analytics Machine Learning Technology 85

Smart Data Collective

AUGUST 2, 2022

This figure is expected to grow as more companies recognize the potential and decide to increase the resources they dedicate to machine learning and predictive analytics tools. Companies that fail to leverage AI effectively risk falling behind in a competitive industry. AI-based software development. Big data.

Software 126

Software Machine Learning B2B Manufacturing 126

Smart Data Collective

SEPTEMBER 12, 2023

Predictive Analytics Some advanced software solutions incorporate predictive analytics, which uses machine learning algorithms to anticipate customer needs and behaviors. For instance, the software can predict when a customer is likely to need a product refill and proactively send a reminder.

Software 98

Software Interactive Predictive Analytics Metrics 98

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps is a term that refers to the set of practices and tools that organizations use to improve the quality and speed of data analytics and machine learning. ChatGPT> DataOps observability is a critical aspect of modern data analytics and machine learning.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

Smart Data Collective

JUNE 26, 2019

The insurance industry is based on the idea of managing risk. To determine this risk, the industry must consult data and see what trends are evident to draft their risk profiles. The in-depth analysis of historical data gives insurers a platform to base their determination of risk.

Insurance 94

Insurance Data Analytics Analytics IoT 94

Cloudera

JULY 19, 2022

It cited the large percentage of the workforce working remotely as creating potential risks for IT networks, and the new risks created by the necessity to conduct financial services online, including people less familiar with the protocols. Rules are informed by models that can be adjusted dynamically when new fraud schemes arise.

Predictive Analytics 88

Predictive Analytics Risk Machine Learning Measurement 88

Decision Management Solutions

MAY 1, 2019

Manage Risk Better , and 3. By using decision management technologies like business rules, predictive analytics, machine learning, and artificial intelligence, insurance carriers can increase their straight through processing rates and focus team members on higher value activities. Sell More , 2.

Insurance 75

Insurance Technology Predictive Analytics Risk 75

Smart Data Collective

JULY 28, 2022

Fortunately, new predictive analytics algorithms can make this easier. The financial industry is becoming more dependent on machine learning technology with each passing day. Last summer, a report by Deloitte showed that more CFOs are using predictive analytics technology.

Predictive Analytics 135

Predictive Analytics Analytics Forecasting Machine Learning 135

IBM Big Data Hub

JUNE 29, 2023

Sensors collect data in real-time that is then fed into an enterprise asset management (EAM) or computerized maintenance management system (CMMS), where AI-enhanced data analysis tools and processes like machine learning (ML) spot issues and help resolve them.

Cost-Benefit 80

Cost-Benefit Measurement Management Predictive Analytics 80

Smart Data Collective

JULY 17, 2019

Companies that strive to provide better senior care can use machine learning, robotics and predictive analytics to better meet the needs of their residents without having to worry about a frustrating staffing shortage. Addressing specific health risks facing seniors. Cutting marketing costs.

Cost-Benefit 83

Cost-Benefit Machine Learning Advertising IoT 83

Smart Data Collective

APRIL 22, 2020

The following is just a sample of the many ways big data and machine learning are flattening the coronavirus curve, as well as study the disease, mount a sensible public response and reopen our communities, economies and countries. Predicting Community and Individual Risk of Infection. Pre-existing medical conditions.

Big Data 110

Big Data Machine Learning Risk Interactive 110

Cloudera

OCTOBER 4, 2023

In financial services, fast-moving data is critical for real-time risk and threat assessments. We can move to predictive fraud and breach prevention, greatly increasing the protection of customer data and financial assets. Without real-time analytics we won’t catch the threats until after they’ve caused significant damage.

Data Warehouse 90

Data Warehouse Experimentation Cost-Benefit Dashboards 90

CIO Business Intelligence

OCTOBER 1, 2022

P&G is also piloting the use of IIoT, advanced algorithms, machine learning (ML), and predictive analytics to improve manufacturing efficiencies in the production of paper towels. P&G can now better predict finished paper towel sheet lengths. Smart manufacturing at scale is a challenge. “We

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

CIO Business Intelligence

JUNE 22, 2023

Organizations are also seeking more established IT skills such as predictive analytics, natural language processing, deep learning, and machine learning, says Mike Hendrickson, VP of tech and dev products at Skillsoft.

IT 104

IT Machine Learning Deep Learning Technology 104