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 84

Data Architecture Risk Management Risk Management 84

Smarten

SEPTEMBER 28, 2022

Apply Predictive Analytics to Specific Business Use Cases for Real Results! Gartner has predicted that, ‘Overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solutions.’ Predictive Analytics Using External Data. Quality Control.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

Smart Data Collective

OCTOBER 13, 2020

They found that predictive analytics algorithms were using social media data to forecast asset prices. Predictive analytics have become even more influential in the future of altcoins in 2020. This wouldn’t have been the case without growing advances in big data and predictive analytics capabilities.

Predictive Analytics 100

Predictive Analytics Analytics Forecasting Marketing 100

Smart Data Collective

AUGUST 30, 2020

Predictive analytics is revolutionizing the future of cybersecurity. A growing number of digital security experts are using predictive analytics algorithms to improve their risk scoring models. The features of predictive analytics are becoming more important as online security risks worsen.

Predictive Analytics 108

Predictive Analytics Analytics Analytics Technologies Risk 108

CIO Business Intelligence

JUNE 2, 2022

Real-time and predictive analytics is another hot technology for banks, with nearly 89% of survey respondents confirming that they are either in the planning, implementation or operational phases of using these technologies, the Forrester report shows.

Predictive Analytics 142

Predictive Analytics Technology Analytics Machine Learning 142

Smarten

MAY 31, 2022

When combined with Citizen Data Scientist initiatives, the adoption and use of predictive modeling and forecasting techniques can be a boon to any enterprise. Team members who have access to augmented analytics and assisted predictive modeling can plan better, predict more accurately and dependably meet goals and objectives.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

Smart Data Collective

JANUARY 14, 2021

A lot of experts have talked about the benefits of using predictive analytics technology to forecast the future prices of various financial assets , especially stocks. Investors taking advantage of predictive analytics could have more success choosing winning IPOs. This is one of the unique opportunities with IPOs.

Predictive Analytics 81

Predictive Analytics Forecasting Analytics Machine Learning 81

Smart Data Collective

JUNE 26, 2019

Big data and predictive analytics will lead to healthcare improvement. Health IT Analytics previously published an excellent paper on some of the best use cases of predictive analytics in healthcare. The predictive analytics are not designed to replace a doctor’s advice.

Predictive Analytics 93

Predictive Analytics Analytics Insurance Cost-Benefit 93

Smart Data Collective

JUNE 18, 2021

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 and Big Data Assists with Criminal Justice Reform.

Predictive Analytics 67

Predictive Analytics Forecasting Analytics Big Data 67

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

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. Predictive Analytics enhances the Lending Process.

Predictive Analytics 83

Predictive Analytics Analytics Cost-Benefit Data mining 83

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. Request a demo.

Predictive Analytics 59

Predictive Analytics Marketing Analytics Data-driven 59

Birst BI

OCTOBER 30, 2018

A personal crystal ball that predicts your days ahead is what financial services firms everywhere want. Every day, these companies pose questions such as: Will this new client provide a good return on investment, relative to the potential risk? Is this existing client a termination risk? Will this next trade return a profit?

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

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

DataRobot Blog

MAY 25, 2022

The DataRobot AI Cloud Platform can also help identify infrastructure and buildings at risk of damage from natural disasters. DataRobot enables the user to easily combine multiple datasets into a single training dataset for AI modeling. Quickly and Easily Build Models. In 2017, Hurricane Harvey struck the U.S. The Datasets.

Risk 52

Risk Predictive Modeling Insurance Predictive Analytics 52

Decision Management Solutions

APRIL 23, 2019

, in which he states there are only three levers of value in insurance: Sell More, Manage Risk Better (aka underwriting and adjusting), and Cost Less to Operate. Let’s dive into greater detail on the second lever – Manage Risk Better. Insurers can also manage risk more effectively through continuous improvement.

Insurance 69

Insurance Risk Technology Management 69

Smarten

MAY 16, 2019

In the interim, there is loss of productivity and the risk of crucial mistakes. Advanced analytics can help you to identify areas of dissatisfaction and understand the activities, processes, benefits, training and the work environment that encourages productivity and ensures employee satisfaction. Learn More: Human Resource Attrition.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Cost-Benefit 51

Smart Data Collective

NOVEMBER 7, 2019

The benefits of predictive analytics for businesses are numerous. However, predictive analytics can be just as valuable for solving employee retention problems. Towards Data Science discusses some of the benefits of predictive analytics with employee retention. There are three ways to deal with this issue…”.

Predictive Analytics 47

Predictive Analytics Analytics Cost-Benefit Risk 47

Smarten

MAY 13, 2019

Self-serve, assisted predictive modeling and predictive analytics can help you to identify the customers who are most likely to leave and allow you to develop processes and strategies, as well as new marketing, new products and services, and other strategies that will improve customer retention and reduce customer churn.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Advertising 51

Smarten

MAY 17, 2019

These are just some of the examples of use cases that effectively illustrate how your business can benefit from predictive analytics in real-world scenarios. The benefits of advanced analytics and assisted predictive modeling are too numerous to provide a complete list here. Loan Approval. Marketing Optimization.

Predictive Analytics 65

Predictive Analytics Forecasting Analytics Predictive Modeling 65

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. Predictive analytics can be a crucial piece of the puzzle in supporting the loan approval process and monitoring and managing loans throughout the life cycle of the contract.

Predictive Analytics 40

Predictive Analytics Analytics Predictive Modeling Insurance 40

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

MARCH 29, 2019

One of the biggest difficulties that crypto traders, brokers and entrepreneurs face is a rising number of security risks. New advances in predictive analytics are helping solve many of these threats. This is where predictive analytics technology can be invaluable for security purposes.

Predictive Analytics 56

Predictive Analytics Analytics Analytics Technologies Software 56

Smart Data Collective

MARCH 2, 2023

Predictive analytics technology can help companies forecast demand One of the biggest challenges businesses face in any economy is predicting demand for their products or services. Therefore, it is a good idea to have predictive analytics models that account for these variables.

Big Data 81

Big Data Uncertainty Risk Data mining 81

Smarten

APRIL 17, 2018

How Can Assistive Predictive Modeling Help My Business Users? If you are wondering how and why predictive analytics software has expanded into the self-serve business user market, the reason is simple. Predictive Analytics Software should be easy to implement, easy to personalize and easy to use.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Forecasting 40

Smarten

NOVEMBER 19, 2018

The process of predictive analytics has come far in the past decade. Today’s self-serve predictive analytics and forecasting tools are designed to support business users and data analysts alike. What is Predictive Analytics? Can Predictive Analytics Help You Achieve Business Objectives?

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

CIO Business Intelligence

APRIL 8, 2024

Improving player safety in the NFL The NFL is leveraging AI and predictive analytics to improve player safety. Risk Mitigation Modeling can then be used to analyze training data and determine a player’s ideal training volume while minimizing injury risk. Souza’s advice: Cultivate curiosity.

Analytics 97

Analytics Broadcasting Predictive Analytics Metrics 97

Smarten

JULY 30, 2018

How Can Predictive Analysis Tools Help My Hospital or Healthcare Organization? Hospitals and healthcare systems are turning to predictive analytics tools to plan and forecast and understand what, when and how to support patients.

Predictive Analytics 40

Predictive Analytics Analytics Predictive Modeling Forecasting 40

CIO Business Intelligence

FEBRUARY 28, 2024

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

Informatics 100

Informatics Data-driven Digital Transformation Predictive Analytics 100

CIO Business Intelligence

MARCH 11, 2024

And yet, IT teams face significant challenges, including: • Addressing information overload • Predicting capacity planning • Assessing risks that are sometimes unknown • Meeting complicated regulatory standards Complexity is the common thread that runs through these challenges.

IT 93

IT Digital Transformation Reporting Predictive Analytics 93

Cloudera

JUNE 23, 2021

Yet there are also more subtle risks to monitor, including changes to insured assets, risks, and exposures. Climate change can also impact the insurance carrier as an enterprise itself—similarly to cyber risks, insurers underwrite cyber risks for their customers, as well as manage their own risks and exposure as a company.

Insurance 52

Insurance Risk Modeling Risk Management 52

Smart Data Collective

JULY 16, 2023

The Imperative of Risk Mitigation A crucial element in the world of financial investments is effective hedge fund management. Optimizing hedge fund performance requires the implementation of intelligent strategies, from managing risks to maximizing returns, improving investor relations, and adapting to shifting market conditions.

ROI 71

ROI Data Analytics Analytics Risk Management 71

datapine

OCTOBER 21, 2020

Now that we live longer, treatment models have changed and many of these changes are namely driven by data. If you put on too many workers, you run the risk of having unnecessary labor costs add up. and could provide a model for the EU to follow. 8) Predictive Analytics In Healthcare. 3) Real-Time Alerting.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

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

Jedox

JANUARY 29, 2019

In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting. Making AI Real (Part 2).

Predictive Analytics 41

Predictive Analytics Forecasting Sales Analytics 41

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. Industries harness predictive analytics in different ways.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

O'Reilly on Data

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 307

Enterprise Deep Learning Data Governance Risk 307