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

Octopai

JULY 9, 2020

As a core principle of data management, all BI & Analytics teams engage with data lineage at some point to be able to visualize and understand how the data they process moves around throughout the various systems that make up their data environment. They then relayed that information to insurance companies.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

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. Risk Quantification and Analytics. Beyond assessing risk from a qualitative perspective, companies in many industries (e.g.,

Risk Management 52

Risk Management Risk Predictive Modeling Insurance 52

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 80

Risk Management Risk Management Measurement 80

Cloudera

MARCH 25, 2021

The protection and controls around data become increasingly complex when used in the context of banking and insurance activities. Personal and confidential information carries heightened sensitivity in the light of financial, health and insurance activities. Financial institutions and insurers understand the benefits of more data.

Data Strategy 65

Data Strategy Strategy Enterprise Insurance 65

Cloudera

MARCH 18, 2021

The Fundamental Review of the Trading Book (FRTB), introduced by the Basel Committee on Banking Supervision (BCBS), will transform how banks measure risk. In order to help make banks more resilient to drastic market changes, it will impose capital requirements that are more closely aligned with the market’s actual risk factors.

Risk 55

Risk Machine Learning Risk Management Measurement 55

Jet Global

NOVEMBER 15, 2021

A Tax Key Performance Indicator (KPI) or metric is a clearly defined quantifiable measure that an organization, or business, uses to measure the success of its Tax Function over time. to non-traditional KPIs including reputational risk management, efficiency and effectiveness of processes, innovative use of technology, etc.

Metrics 52

Metrics Reporting KPI Risk Management 52

CIO Business Intelligence

MARCH 13, 2024

Still, he urges companies to look beyond measurements of coding speed. At Gallagher, a global insurance brokerage, risk management, and consulting services firm, executive search practice managing director Tom Wilson says his team uses gen AI for research and written communications.

IT 127

IT Consulting Testing Cost-Benefit 127

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

AWS Big Data

AUGUST 14, 2023

How do we define “risk” and “value” in the context of data products, and how can we measure this? To answer questions such as these and plan accordingly, organizations must implement data product portfolio management (DPPM). Strategies for measuring value and prioritizing data products are explored later in this post.

Management 81

Management Risk Measurement Optimization 81

Jet Global

MARCH 2, 2022

As such, some of the measures published in respect of ESG include: As such, some of the measures published in respect of ESG include: Non-Financial Reporting Directive (NFRD). The SFDR aims to give more transparency about sustainability and provide a common set of rules on sustainability risks.

Reporting 59

Reporting Recreation/Entertainment Risk Insurance 59

Jet Global

JUNE 21, 2021

A number of approaches are currently being proposed, underpinned by the need of governments worldwide to recoup funds in the wake of business assistance programs necessitated by the pandemic, including one that features measures as revolutionary as a common basic tax rate for every nation. Read how to elevate tax to a strategic function.

Recreation/Entertainment 98

Recreation/Entertainment Digital Transformation Finance Reporting 98

IBM Big Data Hub

JULY 7, 2023

Here are some data security measures that every organization should strongly consider implementing. Ensuring that permissions are removed when no longer needed lessens the security risk. Manage third-party-related risks. Define sensitive data. Implement data classification based on how sensitive and valuable it is.

Risk 40

Risk Data Governance Data Lake Data-driven 40

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson.

Technology 143

Technology Enterprise Consulting Software 143

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. The ability to measure results (risk-reducing evidence). Curiosity explored within a multi-disciplinary context is an antidote for the silo anti-pattern.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

DataRobot Blog

JULY 21, 2022

If there is no forward-looking predictive component to the use case, it can probably be addressed with analytics and visualizations applied to historical data. Outline clear metrics to measure success. Document assumptions and risks to develop a risk management strategy. Not every project needs machine learning.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98