IBM Big Data Hub

OCTOBER 26, 2023

A corporate sustainability report is a comprehensive document that outlines a company’s efforts, policies, practices and performance related to social, environmental and economic sustainability. Companies usually share their sustainability goals and achievements in these reports on an annual basis.

Reporting 74

Reporting Software Cost-Benefit Strategy 74

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

CIO Business Intelligence

NOVEMBER 23, 2022

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Another main priority with EA is agility and ensuring that your EA strategy has a strong focus on agility and agile adoption.

Enterprise 128

Enterprise Cost-Benefit Digital Transformation Strategy 128

DataRobot Blog

APRIL 29, 2022

The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks. However, after the financial crisis, financial regulators around the world stepped up to the challenge of reigning in model risk across the financial industry.

Risk 111

Risk Modeling IT Risk Management 111

CIO Business Intelligence

JANUARY 19, 2024

“It’s a key issue that needs attention, and a CIO can and should set the tone and practices for effective stakeholder management,” says Brett Tucker, an adjunct professor of cyber risk management at Carnegie Mellon University’s Heinz College.

Management 119

Management Consulting Risk Strategy 119

IBM Big Data Hub

FEBRUARY 13, 2024

For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making. Invest in data hygiene and collection strategies to keep your engine running smoothly. Automate tedious, repetitive tasks.

Enterprise 122

Enterprise Modeling Testing Data-driven 122

erwin

SEPTEMBER 17, 2020

According to erwin’s “2020 State of Data Governance and Automation” report , close to 70 percent of data professional respondents say they spend an average of 10 or more hours per week on data-related activities, and most of that time is spent searching for and preparing data. Benjamin Franklin said, “Lost time is never found again.”

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

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 139

IT Digital Transformation Software Risk 139

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. Cyber resilience is a component of operational resilience. In the U.S.,

Cost-Benefit 78

Cost-Benefit Testing Strategy Risk Management 78

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

IBM Big Data Hub

JANUARY 29, 2024

Business continuity and disaster recovery plans are risk management strategies that businesses rely on to prepare for unexpected incidents. Lower financial risk: According to IBM’s recent Cost of Data Breach Report, the average cost of a data breach was USD 4.45

Cost-Benefit 90

Cost-Benefit Risk Enterprise Advertising 90

erwin

APRIL 30, 2021

The top priority became mobility through a cloud-first strategy. According to Deloitte’s Enterprise Architecture’s Role in Recovering from a Crisis report, organizations typically respond to a crisis over three phases: respond, recover and thrive. Priority 3: Risk Management – Security and Compliance.

Enterprise 131

Enterprise Digital Transformation Risk Management Risk 131

erwin

OCTOBER 17, 2019

Analyst firm Ovum recently released a new report titled Ovum Market Radar: Enterprise Architecture. it ensures not only access to proper documentation but also current, updated information. The Regulatory Rationale for Integrating Data Management & Data Governance. Data security/risk management.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

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 58

Cost-Benefit Risk Management Risk Digital Transformation 58

erwin

AUGUST 20, 2020

As a practice, EA involves the documentation, analysis, design and implementation of an organization’s assets and structure. With an enterprise architecture management suite (EAMS) , an organization can define and document its structure to more effectively determine how to achieve its goals. Innovation Management.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

CIO Business Intelligence

OCTOBER 13, 2023

Here are the top 11 roles companies are currently hiring for, or have plans to hire for, to directly address their emerging gen AI strategies. The role of algorithm engineer requires knowledge of programming languages, testing and debugging, documentation, and of course algorithm design.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

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 135

Digital Transformation Uncertainty Metrics Business Objectives 135

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 134

Management Cost-Benefit Key Performance Indicator Software 134

CIO Business Intelligence

MARCH 13, 2024

According to a research report IDC released in November, based on a survey of over 2,100 business leaders and decision makers with responsibility for AI transformation, 71% of companies already using AI are seeing returns on their AI investments within 14 months, averaging $3.50 for every $1 spent. We did side-by-side testing,” he says.

IT 128

IT Consulting Testing Cost-Benefit 128

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]. Currency amounts reported in Taiwan dollars.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

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.

Risk 52

Risk Reporting Measurement Insurance 52

erwin

NOVEMBER 13, 2020

Data Security & Risk Management. Innovation Management. See also: Forrester’s Enterprise Architecture Management Suite Report. For example, a COVID response plan will use EA to document if employees work from home, what their roles are, the projects on which they’re working, and what their schedules are.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

erwin

JUNE 14, 2019

Its past successes – and future potential – are well documented, chronicled in the billion-dollar valuations of the frontrunners in the practice. According to IDC’s digital transformation predictions report for 2019, these types of initiatives are going to flood the enterprise during the next five years.

Digital Transformation 111

Digital Transformation Data Governance Risk Data-driven 111

FineReport

JUNE 7, 2023

Project management dashboards serve as dynamic visual aids, empowering project managers to effectively track project progress, identify risks, and allocate tasks to team members efficiently. These visual components play a pivotal role in project tracking and generating comprehensive reports.

Dashboards 52

Dashboards Management Visualization Cost-Benefit 52

Ontotext

APRIL 6, 2023

Providing insights into the performance of different systems and processes, knowledge graphs can significantly improve asset management, equipment maintenance, factory floor management & optimization, industrial safety and a lot more. And that’s not all. Some of the top U.S.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Alation

AUGUST 17, 2022

And while IT should never be the data owner for business data, research from Digital Trailblazer author and former CIO Isaac Sacolick shows that 40 percent of business leaders “just want IT to fix the data and deliver reports.” Enterprise risk management. Data management. Risk, however, is a different challenge.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

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 encouraging staff to make a report if they suspect a leak or have information relating to the potential misuse of data, can also reduce the risk of leaks occurring.

Risk 120

Risk Management Measurement Optimization 120

Smart Data Collective

SEPTEMBER 21, 2022

Organizations need employees with problem solving skills to evaluate situations and come up with strategies in order to fix the issue. In the Software Development field, it’s important for candidates to know coding, algorithms, applications, design, security, testing, debugging, modelling, languages, and documentation.

Statistics 84

Statistics Software Data mining Marketing 84

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

bridgei2i

APRIL 23, 2020

In this fluid situation, banks anticipate their risks to grow manifold under various categories: Banks will monitor portfolios at a much granular level and use agile methodology. They have to assess risk and build strategies dynamically. Regions affected by COVID 19 will report higher defaults. FS Challenges post-COVID.

Risk 52

Risk Management Scorecard Forecasting 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? While having such telemetry is crucial for sound model risk management principles, it is not, by itself, sufficient. BARC INDUSTRY ANALYST REPORT. Conclusion.

Risk 59

Risk Modeling Metrics Measurement 59

CIO Business Intelligence

MARCH 5, 2024

CIOs must also partner with CISOs, legal, human resources, and business leaders to build awareness of policies and develop a generative AI risk management strategy. While that’s a limitation, there are reports of promised functionality not yet available.

Cost-Benefit 124

Cost-Benefit Advertising Experimentation Software 124

CIO Business Intelligence

FEBRUARY 22, 2024

Increasing pressures around environment, social, and governance (ESG) concerns have organizations across industries turning to their CIOs to revamp their strategies for ESG reporting. To date, many companies have merely repurposed existing technology solutions for their ESG reporting needs. So getting specific is important.”

Software 97

Software Reporting KPI Enterprise 97

CIO Business Intelligence

MAY 24, 2022

Deloitte estimates that compliance costs for banks have increased by 60% since the financial crisis of 2008, and the Risk Management Association found that 50% of financial institutions spend 6 to 10% of their revenues on compliance. Streamline regulatory reporting. AI and automation can streamline this process.

Risk 145

Risk Reporting Marketing Risk Management 145

IBM Big Data Hub

APRIL 21, 2023

The Corporate Sustainability Reporting Directive (CSRD) reached a provisional political agreement in June 2022, signaling it will take effect in January 2024 for all relevant companies. This move aims to achieve more complete and transparent sustainability reporting across the region. CSRD on track to enter into force in 2024.

Reporting 44

Reporting Metrics Risk Strategy 44

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 Bottlenecks.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

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 Not that I’m implying anything about current economic conditions vis-a-vis the timing of this report… #justsayin. 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