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

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 144

Predictive Analytics Technology Analytics Machine Learning 144

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

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. Customer Churn.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

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

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. See DataRobot AI Cloud in Action.

Predictive Analytics 59

Predictive Analytics Marketing Analytics Data-driven 59

Birst BI

OCTOBER 30, 2018

Remember when you began your career and the prospect of retirement was an event in the distant future? A personal crystal ball that predicts your days ahead is what financial services firms everywhere want. Is this existing client a termination risk? Predictive Analytics: Predicting Future Outcomes.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Smart Data Collective

NOVEMBER 10, 2019

Predictive analytics is essential in modern email threat prevention. The IEEE created a report titled Identifying Email Threats Using Predictive Analytics , which shed a lot of light on this complicated issue. How is Predictive Analytics Revamping Email Security?

Predictive Analytics 55

Predictive Analytics Analytics Enterprise Strategy 55

Rocket-Powered Data Science

OCTOBER 6, 2023

The point is that the 100% association between the event and the preceding condition has no special predictive or prescriptive power. In statistical terms, the joint probability of event Y and condition X co-occurring, designated P(X,Y), is essentially the probability P(Y) of event Y occurring.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

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

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 96

IT Digital Transformation Reporting Predictive Analytics 96

datapine

OCTOBER 21, 2020

If you put on too many workers, you run the risk of having unnecessary labor costs add up. All this vital information can be coupled with other trackable data to identify potential health risks lurking. Chronic insomnia and an elevated heart rate can signal a risk for future heart disease for instance. on a permanent basis.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

CIO Business Intelligence

MARCH 5, 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 professionals are already overwhelmed by alerts and tasks.

IT 71

IT Digital Transformation Predictive Analytics Reporting 71

Smart Data Collective

JULY 12, 2021

You will need to analyze market dynamics as a day trader, along with identifying new changes, and keeping up with the latest stock events likely to affect stocks. Helps Understand Risk with Predictive Analytics. Data analysis can help you develop predictive analytics that can be used to assess risk.

Big Data 130

Big Data Marketing Predictive Analytics Risk 130

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

datapine

MARCH 8, 2021

By utilizing interactive digital dashboards, it’s possible to leverage data to transform metrics into actionable insights to spot weaknesses, identify strengths, and predict events before they occur. This is a testament to the essential role of predictive analytics in the sector. Disease monitoring.

Reporting 198

Reporting KPI Management Cost-Benefit 198

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 84

Strategy Management Forecasting Cost-Benefit 84

Smart Data Collective

DECEMBER 9, 2020

Consumers are also looking for new machine learning tools to help mitigate their daily risks and solve some of their most perplexing challenges. Data from these accidents is used to train machine learning algorithms to identify correlating risk factors with car accidents. How nuanced can these machine learning risk analyses really be?

Machine Learning 141

Machine Learning Risk Insurance Predictive Analytics 141

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 109

Analytics Digital Transformation Forecasting Risk 109

CIO Business Intelligence

JULY 5, 2022

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world.

Recreation/Entertainment 97

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 97

CIO Business Intelligence

JULY 1, 2022

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world.

Recreation/Entertainment 94

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 94

Jet Global

OCTOBER 25, 2023

When AI and machine learning are utilized in embedded analytics, the results are impressive. Much of this can be seen in modern solutions that offer advanced predictive analytics. Predictive analytics refers to using historical data , machine learning, and artificial intelligence to predict what will happen in the future.

Analytics 52

Analytics Predictive Analytics Machine Learning Software 52

Cloudera

NOVEMBER 4, 2020

Insurance is not something the average consumer thinks about every day but when a life changing event happens, insurance becomes extremely important. Let’s explore some examples in personal insurance across both health and property & casualty – Renewals, “Life events” and Claims. Life Events. The Renewal.

Insurance 114

Insurance Machine Learning Risk IoT 114

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. Predictive analytics technology is helpful for both. This helps organizations plan for events better.

Big Data 77

Big Data Cost-Benefit Predictive Analytics Insurance 77

Cloudera

SEPTEMBER 7, 2023

But it’s also fraught with risk. This June, for example, the European Union (EU) passed the world’s first regulatory framework for AI, the AI Act , which categorizes AI applications into “banned practices,” “high-risk systems,” and “other AI systems,” with stringent assessment requirements for “high-risk” AI systems.

Insurance 81

Insurance Risk Data-driven Finance 81

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Life insurance needs accurate data on consumer health, age and other metrics of risk. Humans can’t keep up.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

IBM Big Data Hub

JULY 24, 2023

It tracks four important pillars: metrics, events, logs and traces (MELT) to understand the behavior, performance, and other aspects of cloud infrastructure and apps. The goal is to address the underlying issue while determining if other software or systems are at risk of failure, as well.

IT 57

IT Analytics Cost-Benefit Predictive Analytics 57

Jet Global

FEBRUARY 21, 2024

White-labelled embedded analytics software kicks this up a notch, but allowing you to beautify dashboards with your customer’s personal branding, guaranteed to catch the eye of their buying team. The Embedded Analytics Buyer’s Guide Download Now 2. I understand that I can withdraw my consent at any time. Privacy Policy.

Analytics 52

Analytics Dashboards Predictive Analytics Software 52

Smart Data Collective

NOVEMBER 25, 2019

In the future, companies that come to rely on these new data sources will also need to protect that data — or risk the consequences. Some of these new tools use AI to predict events more accurately by employing predictive analytics to identify subtle relationships between even seemingly unrelated variables.

Business Intelligence 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

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 twenty-first century offers a lot of exciting innovations when it comes to data processing and analytics.

Insurance 94

Insurance Data Analytics Analytics IoT 94

Jet Global

MARCH 25, 2024

According to insightsoftware and Hanover Research’s recent Embedded Analytics Insights Report , AI and predictive analytics were rated among the most important trends of the next five years. The Impact of AI on Business Intelligence In recent years, developers have turned to AI to provide a clear vision of the future.

Business Intelligence 52

Business Intelligence Predictive Analytics Reporting Enterprise 52

Jet Global

APRIL 12, 2024

If you want to empower your users to make better decisions, advanced analytics features are crucial. These include artificial intelligence (AI) for uncovering hidden patterns, predictive analytics to forecast future trends, natural language querying for intuitive exploration, and formulas for customized analysis. Privacy Policy.

Analytics 52

Analytics Data-driven Dashboards Reporting 52

IBM Big Data Hub

FEBRUARY 14, 2024

They can also help businesses predict future events and understand why past events occurred. By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination.

Cost-Benefit 85

Cost-Benefit Insurance Unstructured Data Machine Learning 85

CIO Business Intelligence

JULY 12, 2022

Other companies try to jump-start knowledge by bringing in consultants, but this risks only temporarily plugging the gaps. At GfK , we provide consumer, market, and brand intelligence, with powerful predictive analytics. Online training is often perceived as a hassle and participants can become disengaged.

Predictive Analytics 86

Predictive Analytics Software Consulting Measurement 86

Smart Data Collective

JUNE 8, 2023

Data analytics can impact the sports industry and a number of different ways. Sports leagues and teams are using analytics to estimate turn out at various sporting events, predict the performance of individual athletes, identify ways that athletes can improve their performance and improve marketing strategies.

Data Analytics 82

Data Analytics Analytics Data Collection Statistics 82

CIO Business Intelligence

APRIL 15, 2022

The patients who were lying down were much more likely to be seriously ill, so the algorithm learned to identify COVID risk based on the position of the person in the scan. The algorithm learned to identify children, not high-risk patients. The study’s researchers suggested that a few factors may have contributed.

Analytics 145

Analytics Machine Learning Insurance Testing 145

IBM Big Data Hub

OCTOBER 30, 2023

Real-time analytics on customer data — made possible by DB2’s high-speed processing on AWS — allows the company to offer personalized insurance packages. AI algorithms sift through large datasets to identify fraud risks and streamline claims processing, improving both efficiency and customer satisfaction.

Insurance 81

Insurance Data Warehouse Data-driven Unstructured Data 81