CIO Business Intelligence

DECEMBER 19, 2023

The analyst reports tell CIOs that generative AI should occupy the top slot on their digital transformation priorities in the coming year. Moreover, the CEOs and boards that CIOs report to don’t want to be left behind by generative AI, and many employees want to experiment with the latest generative AI capabilities in their workflows.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

bridgei2i

JUNE 2, 2020

Episode 7: The Impact of COVID-19 on Financial Services & Risk. Management. The Impact of COVID-19 on Financial Services & Risk Management. As past data isn’t relevant anymore, current models aren’t going to work. PODCAST: COVID 19 | Redefining Digital Enterprises. Listening time: 12 minutes.

Risk Management 128

Risk Management Risk Enterprise Management 128

CIO Business Intelligence

NOVEMBER 21, 2023

There are ample reasons why 77% of IT professionals are concerned about shadow IT, according to a report from Entrust. Set parameters and emphasize collaboration To address one root cause of shadow IT, CIOs must also establish a governance and delivery model for evaluating, procuring, and implementing department technology solutions.

IT 137

IT Risk Cost-Benefit Risk Management 137

O'Reilly on Data

MAY 18, 2020

To date, at least 1,200 reports of AI incidents have been recorded in various public and research databases. Most AI models decay overtime: This phenomenon, known more widely as model decay , refers to the declining quality of AI system results over time, as patterns in new data drift away from patterns learned in training data.

Risk 359

Risk Modeling Data Processing Software 359

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. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task.

Enterprise 122

Enterprise Modeling Testing Data-driven 122

DataRobot Blog

JUNE 27, 2022

In our previous two posts, we discussed extensively how modelers are able to both develop and validate machine learning models while following the guidelines outlined by the Federal Reserve Board (FRB) in SR 11-7. Monitoring Model Metrics.

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

IBM Big Data Hub

OCTOBER 4, 2022

Manual processes that introduce risk and make it hard to scale. Multiple unsupported tools for building and deploying models. According to Gartner 54% of models are stuck in pre-production because there is not an automated process to manage these pipelines and there is a need to ensure the AI models can be trusted.”

Metadata 99

Metadata Risk Risk Management Experimentation 99

erwin

SEPTEMBER 3, 2020

It documents your data assets from end to end for business understanding and clear data lineage with traceability. Data governance and EA also provide many of the same benefits of enterprise architecture or business process modeling projects: reducing risk, optimizing operations, and increasing the use of trusted data.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

CIO Business Intelligence

OCTOBER 13, 2023

Responsibilities include building predictive modeling solutions that address both client and business needs, implementing analytical models alongside other relevant teams, and helping the organization make the transition from traditional software to AI infused software.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Cloudera

AUGUST 12, 2021

A data-driven approach to talent management and development brings about greater transparency, reduced attrition and more effective training and enablement. A 2020 retention report by the Work Institute revealed that over 42 million employees in the US left their jobs voluntarily in 2019, and this trend appeared to be increasing.

Data-driven 107

Data-driven Manufacturing Insurance Risk Management 107

CIO Business Intelligence

NOVEMBER 23, 2022

Unlike other frameworks, EA doesn’t include a formal documentation structure; instead, it’s intended to offer a more holistic view of the enterprise. EA is also used in systems development, IT management and decision-making, and IT risk management to eliminate errors, system failures, and security breaches.

Enterprise 128

Enterprise Cost-Benefit Digital Transformation Strategy 128

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 57

Cost-Benefit Risk Management Risk Digital Transformation 57

erwin

APRIL 30, 2021

In a world where agility and innovation are highly valued, speed is a critical factor for success.COVID-19 forced many businesses to radically change their business models – or re-evaluate their business processes – shifting the focus of enterprise architects. 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 helps model, manage and transform mission-critical value streams across industries, as well as identify sensitive information. it ensures not only access to proper documentation but also current, updated information.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

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

BizAcuity

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime. Predictive Analytics. These include-.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

CIO Business Intelligence

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. 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 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

JUNE 8, 2023

This demand for skilled IT workers is reflected in the rising average salaries of certain job titles as companies compete for top talent, according to data from the 2023 Dice Tech Salary Report. Average salary: US$145,512 Increase since 2021: 7.7%

IT 139

IT Digital Transformation Software Risk 139

CIO Business Intelligence

AUGUST 30, 2023

A CISO at a major marketing software firm worried about this explicitly, stating, “The real risk is that you have unintentional data leakage of confidential information. Maybe it gets used in modeling. So I think the real risk here is the exposure of sensitive information. Maybe it then winds up getting exposed.

Enterprise 132

Enterprise Risk Measurement Software 132

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. It also reported organizations taking an average of 277 days (about 9 months) to identify and contain a breach.

Cost-Benefit 78

Cost-Benefit Testing Strategy Risk Management 78

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

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

IBM Big Data Hub

MAY 28, 2024

Companies continue to create more attack surfaces with hybrid models, scattering critical data across cloud, third-party and on-premises locations, while threat actors constantly devise new and creative ways to exploit vulnerabilities. Data risk management To protect their data, organizations first need to know their risks.

Strategy 41

Strategy Measurement Risk Cost-Benefit 41

CIO Business Intelligence

JULY 6, 2023

From 1 January 2024, the provisions relating to supplier risk management will also apply to companies with more than 1,000 employees. CYVC offers the possibility to process large amounts of data (semi-) automatically in a short time frame and identifies risks based on different assessment methods.

Cost-Benefit 86

Cost-Benefit Risk Digital Transformation Risk Management 86

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 134

Digital Transformation Uncertainty Metrics Business Objectives 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

CIO Business Intelligence

JULY 31, 2023

Just look at the stats:Some 45% of 2,500 executives polled for a May 2023 report from research firm Gartner said the publicity around ChatGPT prompted them to increase their AI investments, 70% said their organization is already exploring gen AI, and 19% are in actual pilot or production mode. How has, say, ChatGPT hit your business model?”

Strategy 98

Strategy Risk Enterprise Risk Management 98

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

Smart Data Collective

APRIL 22, 2020

Big data software development models vary depending on the ultimate purpose, scale, and other constraints. Using a specified data-driven model/ methodology that considers these factors is key to ensuring a successful deployment of the software. Easier to monitor and troubleshoot Unlikely chance of new expenses Proper documentation.

Data-driven 91

Data-driven Software Big Data Testing 91

Ontotext

APRIL 6, 2023

Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. This model is used in various industries to enable seamless data integration, unification, analysis and sharing. standards modeled in a knowledge graph!

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

DataRobot

AUGUST 9, 2021

However, many organizations don’t implement any feedback loop to monitor and control their models after they’re out in production. For instance, the New York Times recently reported, “ We Need Laws to Take On Racism and Sexism in Hiring. ”. AI governance and auditability will affect all sectors that utilize machine learning.

Machine Learning 52

Machine Learning Risk Testing Insurance 52

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.” Focus on market and customer needs and define safe/compliant operating models. Data management.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

O'Reilly on Data

JULY 15, 2019

In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operations/testing/monitoring. Note that the emphasis of SR 11-7 is on risk management.). Image by Ben Lorica.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

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

Smart Data Collective

SEPTEMBER 21, 2022

Unfortunately, they also have challenges, such as choosing the right business model for their AI startup. As far as Data Analysis is concerned, potential employees should have an extensive knowledge of quantitative research, quantitative reporting, compiling statistics, statistical analysis, data mining, and big data. Graphic Design.

Statistics 84

Statistics Software Data mining Marketing 84