Smart Data Collective

JANUARY 14, 2021

Machine learning has drastically changed the direction of the financial industry. In 2019, Forbes published an article showing that machine learning can increase productivity of the financial services industry by $140 billion. The best stock analysis software relies heavily on new machine learning algorithms.

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Predictive Analytics Forecasting Analytics Machine Learning 114

CIO Business Intelligence

JUNE 2, 2022

Among the hot technologies, artificial intelligence and machine learning — a subset of AI that that makes more accurate forecasts and analysis as it ingests data — continue to be of high interest as banks keep a strong focus on costs while trying to boost customer experience and revenue.

Predictive Analytics 145

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CIO Business Intelligence

OCTOBER 18, 2023

The procedure, often called kidney dialysis, cleansing a patient’s blood, substituting for the function of the kidneys, and is not without risk, however. Fresenius’s machine learning model uses electronic health records comprising intradialytic blood pressure measurements and multiple treatment- and patient-level variables.

Predictive Analytics 133

Predictive Analytics Analytics Machine Learning Internet of Things 133

datapine

NOVEMBER 27, 2019

This is one of the major trends chosen by Gartner in their 2020 Strategic Technology Trends report , combining AI with autonomous things and hyperautomation, and concentrating on the level of security in which AI risks of developing vulnerable points of attacks. The fact is that it is and will affect our lives, whether we like it or not.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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.

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Risk Cost-Benefit Risk Management Manufacturing 144

CIO Business Intelligence

DECEMBER 30, 2024

AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. In healthcare, AI-driven solutions like predictive analytics, telemedicine, and AI-powered diagnostics will revolutionize patient care, supporting the regions efforts to enhance healthcare services.

IoT 105

IoT Digital Transformation Internet of Things Data-driven 105

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.

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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.

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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.

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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 94

Machine Learning Cost-Benefit Strategy Insurance 94

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?

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Predictive Analytics Analytics Machine Learning Risk 74

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Approaches need to take this dynamic nature into mind.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 85

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Smart Data Collective

AUGUST 29, 2022

It can be even more valuable when used in conjunction with machine learning. Machine Learning Helps Companies Get More Value Out of Analytics. There are a lot of benefits of using analytics to help run a business. Analytics has been influencing the income for companies for quite some time now.

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Analytics Predictive Analytics Machine Learning Insurance 132

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

IBM Big Data Hub

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning? temperature, salary).

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Machine Learning Modeling Deep Learning Predictive Modeling 73

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.

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Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 69

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

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 137

Big Data Marketing Predictive Analytics Risk 137

CIO Business Intelligence

FEBRUARY 20, 2025

In addition, they can use statistical methods, algorithms and machine learning to more easily establish correlations and patterns, and thus make predictions about future developments and scenarios. It ensures that all relevant data and information is consolidated, evaluated and presented in a clear and concise form.

Big Data 84

Big Data Measurement Visualization Machine Learning 84

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 135

Data Analytics Diagnostic Analytics Management Analytics 135

Rocket-Powered Data Science

OCTOBER 6, 2023

Using the same statistical terminology, the conditional probability P(Y|X) (the probability of Y occurring, given the presence of precondition X) is an expression of predictive analytics. By exploring and analyzing the business data, analysts and data scientists can search for and uncover such predictive relationships.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

CIO Business Intelligence

APRIL 15, 2022

According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year. And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment. AI algorithms identify everything but COVID-19.

Analytics 145

Analytics Machine Learning Insurance Testing 145

BizAcuity

APRIL 1, 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. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

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

datapine

MARCH 25, 2022

On the other hand, BA is concerned with more advanced applications such as predictive analytics and statistic modeling. By using Business Intelligence and Analytics (ABI) tools, companies can extract the full potential out of their analytical efforts and make improved decisions based on facts.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

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.

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Insurance Data Analytics Analytics Big Data 110

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.

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Cost-Benefit Predictive Analytics Optimization Machine Learning 114

DataRobot Blog

NOVEMBER 8, 2022

In a world that is increasingly outcome-focused and platform-based, we have integrated strategy and predictive analytics to move at the speed of our clients’ decisions and established a scalable framework for uncovering and acting on insights in an organized, simple, and transparent operating model.

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David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

A major practical benefit of using AI is putting predictive analytics within easy reach of any organization. Predictive analytics applies machine learning to statistical modeling and historical data to make predictions about future outcomes.

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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.

Machine Learning 106

Machine Learning Cost-Benefit Advertising IoT 106

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 118

Analytics Broadcasting Predictive Analytics Machine Learning 118

Smart Data Collective

FEBRUARY 21, 2020

For example, most lenders have historically offered a wide range of different loan options to consumers ; but today, with better access to consumer data, lenders can do a more intelligent risk analysis of each individual customer. Fraud Detection and User Security. Reduced Manual Procedures. Customer Perks.

Big Data 144

Big Data Machine Learning Statistics Predictive Analytics 144

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.

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Software Machine Learning B2B Manufacturing 141

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.

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Machine Learning Data Science Statistics Deep Learning 54

Smart Data Collective

MAY 21, 2019

There are several ways that predictive analytics is helping organizations prepare for these challenges: Predictive analytics models are helping organizations develop risk scoring algorithms. They use machine learning technology to determine the likelihood that content is associated with such an attack.

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Big Data Cost-Benefit Predictive Analytics Insurance 101