CIO Business Intelligence

JUNE 8, 2023

There’s a strong need for workers with expertise in helping companies make sense of data, launch cloud strategies, build applications, and improve the overall user experience. Companies need qualified CTOs, CIOs, vice presidents, and directors who are focused on developing and overseeing the business’ overall technology strategy and goals.

IT 137

IT Digital Transformation Software Risk 137

IBM Big Data Hub

APRIL 4, 2024

Lots of innovation is happening, with new technologies emerging in areas such as data and AI, payments, cybersecurity and risk management, to name a few. A third-party risk management review, where the ISV needs to describe how it is complying to required controls. Most of these new technologies are born-in-cloud.

Cost-Benefit 61

Cost-Benefit Risk Management Risk Digital Transformation 61

IBM Big Data Hub

AUGUST 18, 2023

The Digital Operational Resilience Act , or DORA, is a European Union (EU) regulation that created a binding, comprehensive information and communication technology (ICT) risk-management framework for the EU financial sector. Entities will also be expected to put appropriate cybersecurity protection measures in place.

Cost-Benefit 81

Cost-Benefit Testing Strategy Risk Management 81

CIO Business Intelligence

JUNE 12, 2023

COBIT is an IT management framework developed by the ISACA to help businesses develop, organize, and implement strategies around information management and IT governance. COBIT 2019 was introduced to build governance strategies that are more flexible and collaborative and that address new and changing technology.

Risk Management 69

Risk Management Strategy Digital Transformation Enterprise 69

CIO Business Intelligence

MARCH 24, 2023

The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.” Data governance framework Data governance may best be thought of as a function that supports an organization’s overarching data management strategy.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Smart Data Collective

MAY 25, 2023

Fortunately, there are a number of measures that small businesses can take to protect their sensitive information from unauthorized access. Cybercriminals target these businesses primarily due to their resource inadequacy and often lack of progressive cyber security measures. Additionally, cybercrime costs SMEs over $2.2

Internet of Things 91

Internet of Things Cost-Benefit Risk Software 91

CIO Business Intelligence

SEPTEMBER 20, 2023

The best way to address this gap is to draft a simple vision statement written by product managers and delivery leaders in collaboration with stakeholders and agile teams. The writing process builds trust, and a documented vision builds a shared understanding of priorities.

Digital Transformation 126

Digital Transformation Uncertainty Metrics Business Objectives 126

erwin

FEBRUARY 4, 2021

While acknowledging that data governance is about more than risk management and regulatory compliance may indicate that companies are more confident in their data, the data governance practice is nonetheless growing in complexity because of more: Data to handle, much of it unstructured.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

O'Reilly on Data

DECEMBER 12, 2019

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. The study of security in ML is a growing field—and a growing problem, as we documented in a recent Future of Privacy Forum report. [8]. That’s where remediation strategies come in.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

Alation

AUGUST 17, 2022

Constellation Analyst Dion Hinchcliffe suggests that functions should be loosely integrated into the following streams: Governance, risk, compliance. Enterprise risk management. Data management. Risk, however, is a different challenge. While risk may be defined, it might not be well addressed.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

CIO Business Intelligence

DECEMBER 5, 2022

Human resource management: Plan and identify human resource needs. Communications management: Plan stakeholder communications. Risk management: Perform qualitative and quantitative risk analysis, plan risk mitigation strategies. Procurement management: Identify and plan required procurements.

Management 130

Management Cost-Benefit Key Performance Indicator Software 130

CIO Business Intelligence

MARCH 13, 2024

So when on-boarding potential vendors, productivity has increased by 70 to 80% as a result of using gen AI to help analyze masses of documents. “We Still, he urges companies to look beyond measurements of coding speed. We did side-by-side testing,” he says. What if writing code wasn’t the real issue?”

IT 126

IT Consulting Testing Cost-Benefit 126

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 76

Management Risk Measurement Optimization 76

CDW Research Hub

FEBRUARY 14, 2020

Let’s take a closer look at the options, tools and documentation involved with choosing a CSP. As a prerequisite, your organization must already have governance and risk management teams, which will define the company policies and set compliance standards from which you can establish procedures. NIST, HIPAA, FIPS and ENISA).

Risk 52

Risk Reporting Measurement Insurance 52

DataRobot Blog

JUNE 27, 2022

Given the numerous variables that may change, how does the financial institution develop a robust monitoring strategy, and apply them in the context of ML models? A prerequisite in measuring a deployed model’s evolving performance is to collect both its input data and business outcomes in a deployed setting.

Risk 59

Risk Modeling Metrics Measurement 59

erwin

MARCH 12, 2020

It also highlights select enterprise architecture management suite (EAMS) vendors based on size and functionality, including erwin. The report notes six primary EA competencies in which we excel in the large vendor category: modeling, strategy translation, risk management, financial management, insights and change management.

Enterprise 85

Enterprise Reporting Management ROI 85

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

Ontotext

FEBRUARY 26, 2024

Risk management : Understanding the correlation between events and stock price fluctuations helps manage risk. Understanding how certain types of events have historically affected their stock prices can guide future business decisions and communication strategies. Let’s have a quick look under the bonnet.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Jet Global

NOVEMBER 16, 2022

A survey done by McKinsey found that just 22% of boards in the US truly comprehend their company’s strategies. A board report is a document presented to the governing body of a company to help keep the board members up-to-speed on what’s going on within the corporation. management satisfaction. What Is a Board Report?

Reporting 94

Reporting Software Key Performance Indicator Dashboards 94

Smart Data Collective

APRIL 19, 2021

But in most instances, the real risk comes from within. For this reason, it’s highly important to implement the correct strategies to minimize any potential breaches. By putting the correct technical measures in place, you can ensure that any confidential data is protected in the best possible and most efficient manner.

Risk 121

Risk Management Measurement Optimization 121

Grooper

OCTOBER 23, 2019

By measuring performance, they drive improvements through necessary process and workflow changes. And how willing are key people to move away from current data management practices and tools?”. Your dream of effectively managing an enterprise-wide master data model can be a reality. And they simply execute better. Governance.

Metrics 59

Metrics Measurement Strategy Optimization 59

Corinium

APRIL 25, 2019

I am head of Products here, which comprises of R&D, Product Management and Global Customer support. Most of my days focus on understanding what’s happening in the market, defining overall product strategy and direction, and translating into execution across the various teams. And then there is the Cloud.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

O'Reilly on Data

JULY 15, 2019

A look at how guidelines from regulated industries can help shape your ML strategy. After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

DataRobot Blog

NOVEMBER 17, 2022

What’s your AI risk mitigation plan? Just as you wouldn’t set off on a journey without checking the roads, knowing your route, and preparing for possible delays or mishaps, you need a model risk management plan in place for your machine learning projects. Document Design and Deployment For Regulations and Clarity.

Risk Management 52

Risk Management Risk Modeling Management 52

bridgei2i

APRIL 23, 2020

The banking sector globally is definitely going to see impact, some more grave than the others and most of them are announcing short to mid term measure both from a customer and business risk mitigation standpoint. They have to assess risk and build strategies dynamically. FS Challenges post-COVID. Learn MORE. “We

Risk 52

Risk Management Scorecard Forecasting 52

datapine

AUGUST 29, 2022

At 156 pages on Kindle, this is a book you could finish in one (long) sitting if you were so inclined, and that you can also use as an inspiration when you work on your business intelligence strategy. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

IBM Big Data Hub

JULY 7, 2023

Learn how to create a holistic data protection strategy Staying on top of data security to keep ahead of ever-evolving threats Data security is the practice of protecting digital information from unauthorized access, corruption or theft throughout its entire lifecycle. Manage third-party-related risks. Define sensitive data.

Risk 40

Risk Data Governance Data Lake Data-driven 40

Jet Global

MARCH 2, 2022

For one, companies that place an emphasis on their environmental and social impacts and responsibilities, have been shown to be more resilient and that they’re able to manage their risks better during a crisis. As such, they will have to include this information on their websites as well as all their fund documentation.

Reporting 59

Reporting Recreation/Entertainment Risk Insurance 59

IBM Big Data Hub

MAY 14, 2024

Companies across industries are realizing the need to integrate artificial intelligence (AI) into their core strategies from the top to avoid falling behind. But, how will these CAIOs balance regulatory measures and innovation? How will they cultivate trust? Just like urban planning, AI is infrastructure.

Risk 86

Risk Risk Management Measurement Strategy 86

DataRobot Blog

JULY 21, 2022

Outline clear metrics to measure success. Document assumptions and risks to develop a risk management strategy. Identify a consumption strategy. dashes and parentheses in telephone numbers) Inconsistent units of measure (e.g., These strategies enable you to scale AI adoption.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

Cloudera

SEPTEMBER 7, 2023

But these measures alone may not be sufficient to protect proprietary information. proprietary data, business strategies, methodologies, etc. Use NLP to analyze and break down regulatory documents, translating complex legal jargon into actionable tasks. AI-ify risk management. Practice real-time risk management.

Insurance 79

Insurance Risk Data-driven Finance 79

IBM Big Data Hub

JULY 28, 2023

In response, enterprises have made vulnerability management a key component of their cyber risk management strategies. The vulnerability management lifecycle offers a formal model for effective vulnerability management programs in an ever-changing cyberthreat landscape.

Management 69

Management Metrics Risk Measurement 69

Domino Data Lab

APRIL 3, 2019

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Given those two, plus SQL gaining eminence as a database strategy, a decidedly relational picture coalesced throughout the decade. Andrew Ng later described this strategy as the “Virtuous Cycle of AI” – a.k.a.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

DataRobot

SEPTEMBER 16, 2021

Exposure is a measure of the unit of risk for an insurance policy. For example, a car-year is a reasonable measure for personal auto insurance, while a home-year could be an exposure for homeowners insurance. Compliance documentation. Loss cost modeling-related features. Feature Impact. Conclusion.

Modeling 52

Modeling Insurance Cost-Benefit Machine Learning 52

CIO Business Intelligence

APRIL 22, 2022

Candidates for this certification should have knowledge and experience with managing project life cycles, maintaining project documentation, managing resources and stakeholders, and ensuring appropriate communication.

Management 110

Management Cost-Benefit Testing Risk 110

CIO Business Intelligence

JULY 6, 2023

Classic examples are the use of AI to capture and convert semi-structured documents such as purchase orders and invoices, Fleming says. We’re equipping this tool with a private ‘knowledge base’ of AT&T-specific data, with chat enabled to get answers directly from these internal AT&T documents and materials.”

Cost-Benefit 117

Cost-Benefit Technology Unstructured Data Testing 117

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. Precisely buys PlaceIQ.

Enterprise 142

Enterprise Technology Consulting Software 142