CIO Business Intelligence

OCTOBER 17, 2022

It’s designed to strengthen the security of EU financial firms, such as banks, insurance companies, investment firms and more, by imposing resilience requirements and regulating the supply chain. In fact, under DORA, the complexity of the supply chain or the lack of EU presence are both considered risk factors. Meeting the Challenges.

Risk Management 105

Risk Management Risk Enterprise Testing 105

CIO Business Intelligence

MAY 11, 2022

Chief Risk Officer (CRO) – Complying with regulatory guidelines may be challenging during times of disruption, especially in heavily regulated industries. Commercial insurance is another critical risk-mitigation tool used to reduce operational risks. Managing Director, Technology Strategy. Dugan Krwawicz.

Management 98

Management Testing Insurance Finance 98

IBM Big Data Hub

FEBRUARY 13, 2024

Healthcare, insurance and education are more hesitant due to the legal and compliance efforts to which they must adhere—and the lack of insight, transparency and regulation in generative AI. Product development : Generative AI is increasingly utilized by product designers for optimizing design concepts on a large scale.

Enterprise 125

Enterprise Modeling Testing Data-driven 125

CIO Business Intelligence

MAY 9, 2022

Whether it is individuals or businesses, financial institutions or investors, regulators or insurers, everyone in the ‘economic community’ is aware making ethical decisions is no longer just ‘wokeness’—it makes good business sense too. The pandemic has only further strengthened this realization. Moving towards a stakeholder approach.

Insurance 97

Insurance Risk Risk Management Enterprise 97

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 64

Data Strategy Strategy Enterprise Insurance 64

BizAcuity

JULY 26, 2021

On top of that, the On-prem cloud gives the flexibility to scale up the data load automatically as per changing demand requirements, thereby optimizing performance and efficiency without personal intervention. . Improved security and risk management. Increased agility and innovation. Business continuity.

IT 52

IT Cost-Benefit Data Processing Risk 52

bridgei2i

MAY 20, 2020

Tourism and Hospitality are also largely affected, but in FS, insurance, and CPG, the impact is moderate. To give a brief introduction, he has over two decades of experience in Analytics, Big data and AI delivery across banking and financial services, commercial finance, insurance, e-commerce, retail, and supply chain.

Enterprise 98

Enterprise B2B Digital Transformation Insurance 98

Cloudera

SEPTEMBER 7, 2023

With AI, financial institutions and insurance companies now have the ability to automate or augment complex decision-making processes, deliver highly personalized client experiences, create individualized customer education materials, and match the appropriate financial and investment products to each customer’s needs.

Insurance 79

Insurance Risk Data-driven Finance 79

CIO Business Intelligence

MARCH 22, 2022

He brings expertise in developing IT strategy, digital transformation, AI engineering, process optimization and operations. At Fractal, Tiwari will be responsible for the company’s digital transformation and overseeing IT operations, cybersecurity, and risk management. . Gururaj Rao moves to Aditya Birla Health Insurance.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

CIO Business Intelligence

MARCH 13, 2024

Respondents said AI was already showing value when it comes to writing and optimizing code, analyzing security, helping them learn new skills, identify bugs, write tests, create documentation, and more. Every year, Google surveys tens of thousands of developers for its annual state of DevOps report, and this year AI was a major topic.

IT 128

IT Consulting Testing Cost-Benefit 128

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

JUNE 23, 2021

Climate change is a challenge for insurers in some obvious ways, such as stronger and more frequent natural disasters. Yet there are also more subtle risks to monitor, including changes to insured assets, risks, and exposures. These kinds of nuanced risk assessments require comprehensive solutions.

Insurance 52

Insurance Risk Modeling Risk Management 52

DataRobot Blog

JULY 21, 2022

Document assumptions and risks to develop a risk management strategy. For a credit risk model, the target could be defined as “fully repays loan” or “payments in first 2 years are current” or or “collateral is repossessed.”. Inquire whether there is sufficient data to support machine learning. Define project scope.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

CIO Business Intelligence

MARCH 25, 2022

Policy makers around the world have been recognizing this heightened risk, which has been further amplified by the recent geopolitical tensions. The European Union (EU) has pulled together a proposal for a unified framework to regulate risk management for financial institutions. DORA’s Impact.

Finance 98

Finance KPI Risk IoT 98

bridgei2i

APRIL 9, 2019

The banking sector that makes the most use of AI is wealth management. AI automates various financial processes of wealth management to offer tax-optimized and personalized investment experiences to their clients. For a more detailed outlook on fraud prevention, read our blog on How Analytics Can Protect Insurers from Fraud.

Unstructured Data 69

Unstructured Data Sales Data-driven Finance 69

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). Legal concerns, risk, compliance. So there are three unusual books suggested for your reading list.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

bridgei2i

MAY 21, 2019

The banking sector that makes the most use of AI is wealth management. AI automates various financial processes of wealth management to offer tax-optimized and personalized investment experiences to their clients. For a more detailed outlook on fraud prevention, read our blog on How Analytics Can Protect Insurers from Fraud.

Unstructured Data 40

Unstructured Data Sales Data-driven Finance 40

Cloudera

DECEMBER 14, 2022

OCBC Bank optimizes customer experience & risk management with multi-phased data initiative. The company recently migrated to Cloudera Data Platform (CDP ) and CDP Machine Learning to power a number of solutions that have increased operational efficiency, enabled new revenue streams and improved risk management.

Data Strategy 77

Data Strategy Strategy IT Contextual Data 77

CIO Business Intelligence

APRIL 15, 2024

The senior vice president and chief information and strategy officer at National Life Group, has spent years executing a technology roadmap to modernize the insurance company. A smaller number (16% of IT leaders and 11% of LOB) sought out CIO consultation to help evaluate and advise on choices using a risk management or governance lens.

Digital Transformation 130

Digital Transformation Strategy Technology Enterprise 130

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. How do we define “risk” and “value” in the context of data products, and how can we measure this?

Management 81

Management Risk Measurement Optimization 81

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

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Some data is more a risk than valuable. Value Management or monetization. Risk Management (most likely within context of governance). Product Management. Governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

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

Jet Global

APRIL 5, 2021

Risk management. That means the FP&As are the people creating the budget and performing financial forecasting to help the CFO and other members of senior management understand the company’s financial situation. This is achieved through thorough risk management strategies that are continually reviewed.

Modeling 98

Modeling Forecasting Metrics Finance 98