Decision Management Solutions

APRIL 23, 2019

One of the most significant ways in which carriers manage risk is through the underwriting, adjustment and pricing process. Predictive analytics can make a significant impact in this process, helping to ensure that carriers accept and price policies to properly balance the medical or financial risk against the value of the premiums.

Insurance 69

Insurance Risk Technology Management 69

Smart Data Collective

JUNE 19, 2022

You can use predictive analytics tools to anticipate different events that could occur. Undoubtedly, the best way to mitigate the risks associated with suppliers is with a robust supplier risk management system. This is one area that can be partially resolved with AI. Cloud-based applications can also help.

Risk 144

Risk Cost-Benefit Risk Management Manufacturing 144

CIO Business Intelligence

MARCH 19, 2025

Highlight how ESG metrics can enhance risk management, regulatory compliance and brand reputation. Encourage cross-functional collaboration : Partner with IT, operations and finance teams to align data-driven sustainability efforts with broader business objectives.

IT 59

IT Data Governance Data-driven Metrics 59

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 110

Insurance Data Analytics Analytics Big Data 110

datapine

MARCH 31, 2022

It allows its users to extract actionable insights from their data in real-time with the help of predictive analytics and artificial intelligence technologies. Like this, data scientists, engineers, managers, and other users, can access data from multiple sources and perform advanced analysis to extract relevant insights from it.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

AUGUST 26, 2024

From predictive analytics to natural language processing (NLP), AI-powered applications enable faster and more accurate decision-making. In sectors like finance, healthcare, and manufacturing, AI-driven solutions have already proven their worth by optimizing supply chains, improving risk management, and enhancing customer service.

Data-driven 114

Data-driven Manufacturing Data Warehouse Cost-Benefit 114

Smart Data Collective

DECEMBER 15, 2020

Understand the risk with predictive analytics risk scoring algorithms. You should also use predictive analytics for risk management. You can assess your long-term ROI targets and the risk associated with a trade by running complex, analytics-driven calculations.

Data Analytics 84

Data Analytics Analytics Big Data Machine Learning 84

Corinium

APRIL 25, 2019

Machine learning can keep up, by continually looking for trends and anomalies, or predictive analytics, that are interesting for the given use case. You can protect individual fields, or even subsets of fields (e.g.

Insurance 150

Insurance Risk IoT Data-driven 150

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. Predictive Analytics can help businesses in reducing risk (eg.

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. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. Predictive Analytics. Exploratory Data Analysis (EDA).

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Cloudera

MARCH 18, 2021

A single, enterprise-wide platform or coordinated approach for storing and maintaining data can facilitate alignment between the front office, risk management, and finance, setting the stage for a more seamless transition. In order to support a transition at this scale, banks will need to establish internal team alignment first.

Machine Learning 55

Machine Learning Risk Risk Management Measurement 55

Cloudera

SEPTEMBER 7, 2023

The hybrid platform’s automation capabilities are crucial in this stage, allowing for more rapid adaptation and richer analytics. Push predictive analytics to optimize operations and enhance profitability. AI-ify risk management. Practice real-time risk management. Automate wealth management.

Insurance 83

Insurance Risk Data-driven Finance 83

IBM Big Data Hub

FEBRUARY 19, 2024

Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs. Advanced software tools can automate some parts of forecasting, providing real-time updates and alerts when inventory levels are too high or low.

Strategy 81

Strategy Management Forecasting Internet of Things 81

BizAcuity

MARCH 31, 2022

Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management. Predictive Analytics: Predictive analytics is the most talked about topic of the decade in the field of data science.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

CIO Business Intelligence

JANUARY 26, 2023

Costs can be charged back to the specific teams, and ManageEngine’s predictive analytics will plan reserved instances based on historical data. Many of the tools are customer-facing solutions like IT automation, but there are also more backend tools for optimizing IT operations by intelligently managing performance.

Management 116

Management Forecasting Dashboards Optimization 116

IBM Big Data Hub

JUNE 29, 2023

Risk management IBP facilitates proactive risk management by considering various scenarios and identifying potential risks and opportunities. By analyzing data and conducting what-if analyses, companies can develop contingency plans and mitigate risks before they materialize.

Key Performance Indicator 76

Key Performance Indicator Forecasting Sales Data Integration 76

Decision Management Solutions

FEBRUARY 27, 2019

On the risk management front, we have begun working with some insurers to automate underwriting and pricing. This will drive consistency and accuracy and allow them to use more advanced analytics and machine learning to manage risk. Do they use cool technology like predictive analytics, machine learning or AI?

Insurance 40

Insurance Technology Business Driver Predictive Analytics 40

IBM Big Data Hub

JULY 27, 2023

EAM systems can include functions like maintenance management, asset lifecycle management , inventory management and work order management, among others. Access to asset/system simulations can enable more proactive maintenance planning, improved decision-making and better risk management.

Cost-Benefit 55

Cost-Benefit IoT Internet of Things Enterprise 55

Ontotext

FEBRUARY 26, 2024

Risk management : Understanding the correlation between events and stock price fluctuations helps manage risk. Strategic planning and predictive analytics : Companies can use this analysis for strategic planning. Market sentiment analysis : Events can significantly influence market sentiment.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Cloudera

JANUARY 22, 2019

Cloudera enables high-value analytical use cases from the edge to AI including proactive and predictive maintenance, usage-based analytics for targeted communications, recommendation engines, Enterprise Risk Management, AML (Anti-Money Laundering), Fraud Detection/Prevention, Cybersecurity, and Machine Models.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

IBM Big Data Hub

MAY 17, 2024

Commerce operations Traditional AI allows for the automation of routine tasks such as inventory management, order processing and fulfillment optimization, resulting in increased efficiency and cost savings. It can also significantly impact real-time fraud detection and prevention, minimizing financial losses and improving customer trust. 

B2B 64

B2B Interactive Optimization Forecasting 64

FineReport

MARCH 24, 2024

Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making. JPMorgan Chase & Co.:

Statistics 52

Statistics Data mining Visualization Reporting 52

datapine

AUGUST 29, 2022

7) Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die by Eric Siegel. Best for: someone who has heard a lot of buzz about predictive analytics, but doesn’t have a firm grasp on the subject. – Eric Siegel, author, and founder of Predictive Analytics World.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Cloudera

JUNE 23, 2021

Data and Analytics Can Help . When deployed smartly, data can help manage the disruption associated with such natural events. Analytics and the increased use of AI can improve underwriting and risk-management practices for customers, insurers, and reinsurers.

Insurance 52

Insurance Risk Modeling Risk Management 52

CIO Business Intelligence

MARCH 18, 2025

Information risk management is no longer a checkpoint at the end of development but must be woven throughout the entire software delivery lifecycle. The evolution of risk management Modern information security requires thinking like a trusted advisor rather than a checkpoint guardian.

Risk Management 99

Risk Management Risk Management Metrics 99

Andrew White

JANUARY 11, 2021

What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Value Management or monetization. Risk Management (most likely within context of governance). Product Management. Saul Judah is our main person focusing on D&A risk management. Governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

CIO Business Intelligence

MARCH 26, 2025

Namrita offers a useful insight In todays boardrooms, digital tools like AI, IoT, automation, and predictive analytics are dominating technology conversations, creating new avenues for value by heralding new, disruptive business models.

IoT 59

IoT Digital Transformation Data-driven Optimization 59

Octopai

NOVEMBER 11, 2020

They need to use power predictive analytics for optimized trade routing. Automated data lineage on the cloud: helping finance with risk management, regulations, financial crime.

Finance 52

Finance Risk Risk Management Data-driven 52