IBM Big Data Hub

OCTOBER 16, 2023

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. It encompasses risk management and regulatory compliance and guides how AI is managed within an organization.

Risk 70

Risk Modeling Management Metadata 70

Cloudera

MAY 18, 2021

Event-driven and streaming architectures enable complex processing on market events as they happen, making them a natural fit for financial market applications. Flink SQL is a data processing language that enables rapid prototyping and development of event-driven and streaming applications. Intraday VaR. Image Source: [link].

Risk 99

Risk Marketing Risk Management Data-driven 99

Jet Global

JANUARY 19, 2024

Without automated document management, you may find yourself falling victim to: Increased Risk of Errors : Manual handling of documents and data increases the risk of errors. Increased Security Risks : Document management features often include security measures to protect sensitive information.

Risk 52

Risk Management Reporting Software 52

John Wheeler

NOVEMBER 25, 2020

Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. Re-starting business operations will require risk visibility not only across the organization but vertically down through the organization as well. Key Findings.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

AWS Big Data

FEBRUARY 1, 2024

Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. Database cluster – For this solution, we use an Amazon Aurora MySQL-Compatible Edition 8.0 version cluster.

Data Warehouse 123

Data Warehouse Dashboards Risk Management Risk 123

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

IBM Big Data Hub

MAY 8, 2024

The risk of valid identities being used as the entry point by bad actors is expected to continue with the ever-increasing applications and systems being added in today’s hybrid environments. As a result, the interpretation of the varied risk signals is siloed across different events along the digital user journey.

Risk 80

Risk Cost-Benefit Risk Management Management 80

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 95

Insurance Data Analytics Analytics IoT 95

CIO Business Intelligence

SEPTEMBER 14, 2023

Nasdaq is currently using gen AI for a range of applications, including supporting digital investigators’ efforts to identify financial crime risk and empowering corporate boards to consume presentations and disclosures more efficiently. It improves outcomes.”

Risk Management 109

Risk Management Risk Marketing Cost-Benefit 109

erwin

MARCH 25, 2021

He says, “the basic assumption is if an organization equips their managers with the appropriate capabilities and instruments, then it’s management’s obligation to realize productivity potential over time.”. Risk Management and Regulatory Compliance. According to Pörschmann, risk management asks two main questions.

Data Governance 109

Data Governance IT Cost-Benefit Risk 109

John Wheeler

OCTOBER 20, 2020

We continue our “20 for 20” theme this year by highlighting the integrated risk management (IRM) critical capabilities and top 20 software functions / features. These five capabilities support both integrated view of strategic, operational and technology risk as well as the related business outcomes, processes and assets.

Risk Management 52

Risk Management Risk Predictive Modeling Insurance 52

Cloudera

MARCH 2, 2022

Risk management is a highly dynamic discipline these days. Similarly, the European Central Bank is issuing stress testing requirements related to climate risk given the potential economic shifts related to addressing climate change. Stress testing is a particular area that has become even more important throughout the pandemic.

Testing 95

Testing Management Risk Management Forecasting 95

IBM Big Data Hub

FEBRUARY 13, 2024

They also factor in how a strong partnership could reduce supply chain risk and advance sustainability. Such analysis and decision-making are often optimized with the help of various technologies, including artificial intelligence tools and data analytics platforms.

Cost-Benefit 78

Cost-Benefit Scorecard Risk Recreation/Entertainment 78

IBM Big Data Hub

OCTOBER 9, 2023

Unified endpoint management (UEM) and medical device risk management concepts go side-by-side to create a robust cybersecurity posture that streamlines device management and ensures the safety and reliability of medical devices used by doctors and nurses at their everyday jobs.

Risk Management 77

Risk Management Risk Management Measurement 77

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 81

Strategy Management Forecasting Cost-Benefit 81

AWS Big Data

JANUARY 31, 2024

Capturing every single message is critical for transaction cost analytics, market liquidity monitoring, trading strategy evaluation, and market research. In the Analytics engine section, select Apache Spark. OPRA stands out as one the most voluminous feeds, with a peak of 150.4

Marketing 83

Marketing Analytics Visualization Strategy 83

Jet Global

APRIL 25, 2024

In a 2004 interview, Senator Paul Sarbanes said of the events that led to the act’s passage: “The Senate Banking Committee undertook a series of hearings on the problems in the markets that had led to a loss of hundreds and hundreds of billions, indeed trillions of dollars in market value.

Reporting 52

Reporting Risk Management Risk Software 52

Cloudera

OCTOBER 28, 2021

I’ve had the pleasure to participate in a few Commercial Lines insurance industry events recently and as a prior Commercial Lines insurer myself, I am thrilled with the progress the industry is making using data and analytics. I often hear this at industry events and in conversations with insurers. A Long, Long Time Ago.

Insurance 97

Insurance Risk Unstructured Data Data-driven 97

Ontotext

JULY 6, 2023

M&A events, role changes, etc.) Let’s consider an example about risk and opportunity event detection. So we perform large scale Named Entity Recognition of company, locations and people, and we add some topics/events. Transaction and pricing data (e.g., investments, acquisitions, issued Instruments, etc.)

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Cloudera

AUGUST 21, 2021

It provides direction for a robust business strategy that has taken into account risks and ways to manage them. Better visibility of their customers assures banks that they are not exposing themselves to additional risks in the process. Personalizing the customer experience. The need for speed.

Data-driven 103

Data-driven Digital Transformation Risk Risk Management 103

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 83

Insurance Risk Data-driven Finance 83

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. I am head of Products here, which comprises of R&D, Product Management and Global Customer support.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Cloudera

AUGUST 25, 2020

Evaluating anomalies and unpredicted events like pandemics and ESG concerns. In part II of the series, we sat down for an interview with Dr. Richard Harmon, Managing Director of Financial Services at Cloudera, to find out more about how the industry is adopting new technology. This is critically important for predicting risk exposures.

Prescriptive Analytics 74

Prescriptive Analytics Technology Machine Learning Risk 74

IBM Big Data Hub

JULY 12, 2023

Enterprises are often defined by how they deal with events that are out of their control. Good contingency plans prioritize the risks an organization faces, delegate responsibility to members of the response teams and increase the likelihood that the company will make a full recovery after a negative event.

Risk 40

Risk Cost-Benefit Internet of Things Testing 40

Domino Data Lab

AUGUST 10, 2021

Models can predict things before they happen more accurately than humans, such as catastrophic weather events or who is at risk of imminent death in a hospital. Apache Spark: is an open-source unified analytics engine designed for scaling data processing requirements. Managing Model Risk.

Modeling 64

Modeling IT Risk Management Deep Learning 64

IBM Big Data Hub

JULY 27, 2023

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. It can also significantly increase uptime and lifespan. It’s also about transforming business processes and culture.

Cost-Benefit 56

Cost-Benefit IoT Internet of Things Enterprise 56

Cloudera

MAY 4, 2021

Event-driven and streaming architectures enable complex processing on market events as they happen, making them a natural fit for financial market applications. Flink SQL is a data processing language that enables rapid prototyping and development of event-driven and streaming applications. Streaming VWAP.

Marketing 80

Marketing Data-driven Risk Modeling 80

erwin

APRIL 29, 2020

In the event of a change in data expectations, data lineage provides a way to determine which downstream applications and processes are affected by the change and helps in planning for application updates. Analytics and reporting are data-dependent, making collaboration among different business groups and/or departments crucial.

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

Jet Global

NOVEMBER 15, 2021

For an organization to be successful in their tax function, they need to evaluate the performance of their tax function using a variety of KPIs and metrics, ranging from traditional KPIs such as effective tax rate, filing timelines, financial risk management, etc.; KPIs for Tax Departments – Tax Risk. Download Now.

Metrics 52

Metrics Reporting KPI Risk Management 52

CDW Research Hub

JUNE 10, 2021

Sirius Security helps them reduce risk, streamline and improve operations, and take a forward-leaning approach with proactive prevention, detection and response that keeps pace with threats. Can you quickly return to normal operations and minimize damage in the event of a breach? Intelligence & Analytics. & Bake-Offs.

Enterprise 52

Enterprise Consulting Risk Business Objectives 52

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. Meant specifically to support self-service analytics, TrustCheck attaches guidelines and rules to data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

O'Reilly on Data

JANUARY 22, 2019

In other words, extreme events occur far more frequently than predicted by the normal distribution. Mini flash crashes” of individual stocks occur with even higher frequency than these macro events. Time-variant distributions for asset values and risks are the rule, not the exception. Indeed, this parameter is hard to estimate.

Modeling 136

Modeling Finance Uncertainty Data mining 136

Ontotext

APRIL 6, 2023

More and more companies are using them to improve a variety of tasks from product range specification and risk analysis to supporting self-driving cars. Another important standard in terms of logistics and supply chain management is EPCIS, which is enabled by IoT technologies and provides real-time tracking information.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Cloudera

NOVEMBER 18, 2021

transactions per day and processing information at a rate of 1k events per second. This new platform allows for data governance and protection in line with sector compliance, alongside advanced analytics, which boosts the organization’s ability to develop data models to improve sales and marketing. Cloud Innovation.

Data Lake 77

Data Lake Cost-Benefit Digital Transformation Risk 77

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. These examples are well covered by many others (e.g., Dr. Richard L. London – UK.

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

bridgei2i

APRIL 29, 2020

Over – Dependence on China, Massive shift in consumer demand, Lack of end to end visibility across supply chains and Lack of digital processes are just few of many challenges that have come to surface as a result of this unprecedented global event. Risk Management with authority to take action fast.

KPI 52

KPI Risk Management Measurement Risk 52

Ontotext

MAY 5, 2023

For example, it can identify subsidiaries of a parent company or detect hidden ownership structures that may be indicative of reputational risk, fraud or regulatory violations. This makes it easier to manage and update information as the industry changes. Abstractions Alignment As humans, we are constantly using abstractions.

Data Collection 64

Data Collection Risk Data-driven Interactive 64