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 89

Strategy Management Forecasting Cost-Benefit 89

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 61

Cost-Benefit IoT Internet of Things Enterprise 61

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 84

Key Performance Indicator Forecasting Data Integration Sales 84

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

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 Sales 40

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

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 58

B2B Interactive Optimization Forecasting 58

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

Cloudera

JUNE 29, 2023

Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs. However, because most institutions lack a modern data architecture , they struggle to manage, integrate and analyze financial data at pace.

Data Architecture 82

Data Architecture Risk Management Risk Management 82

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 79

Insurance Risk Data-driven Finance 79

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

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

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

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 66

Data Analytics Analytics Big Data Risk 66

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.

Risk 55

Risk Machine Learning Risk Management Measurement 55

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 Cost-Benefit 150

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

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

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

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

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