Anmut

MARCH 22, 2023

Data maturity models are a crucial step for any organisation looking to improve their data, informing if your current data practices are helping, or holding back, your business. ? Click the links below to navigate to different sections What are data maturity models? Why do we need data maturity models? It’s like driving a car.

Measurement 52

Measurement Modeling Data Quality Data Governance 52

O'Reilly on Data

NOVEMBER 13, 2018

Considerations for a world where ML models are becoming mission critical. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. Before I continue, it’s important to emphasize that machine learning is much more than building models. Model lifecycle management.

Machine Learning 220

Machine Learning Risk Management Statistics 220

CIO Business Intelligence

MARCH 25, 2024

Modern digital organisations tend to use an agile approach to delivery, with cross-functional teams, product-based operating models , and persistent funding. But to deliver transformative initiatives, CIOs need to embrace the agile, product-based approach, and that means convincing the CFO to switch to a persistent funding model.

Modeling 124

Modeling Cost-Benefit IT ROI 124

CIO Business Intelligence

DECEMBER 28, 2023

The need to manage risk, adhere to regulations, and establish processes to govern those tasks has been part of running an organization as long as there have been businesses to run. Furthermore, the State of Risk & Compliance Report, from GRC software maker NAVEX, found that 20% described their programs as early stage. What is GRC?

Risk 113

Risk Risk Management Strategy Enterprise 113

IBM Big Data Hub

MAY 8, 2023

This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI. Risk and limitations of AI The risk associated with the adoption of AI in insurance can be separated broadly into two categories—technological and usage.

Insurance 75

Insurance Risk Testing Data Quality 75

CIO Business Intelligence

OCTOBER 24, 2023

Cloud applications, in essence, have become organizations’ crown jewels and developers are measured on how quickly they can build and deploy them. In light of this, developer teams are beginning to turn to AI-enabled tools like large language models (LLMs) to simplify and automate tasks.

Modeling 119

Modeling Risk Reporting Machine Learning 119

Domino Data Lab

AUGUST 6, 2021

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

CIO Business Intelligence

DECEMBER 19, 2023

Their steady income stream and relatively low risk compared to equities make them an especially important component of pension and retirement planning. Each type of issuer presents a different level of risk and tax treatment. Hexaware conducted extensive fine-tuning to adapt the model to different industries and company types. “We

Risk 52

Risk Cost-Benefit Unstructured Data Data-driven 52

O'Reilly on Data

DECEMBER 12, 2019

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

Smart Data Collective

FEBRUARY 14, 2023

However, it is important to understand the benefits and risks associated with cloud computing before making the commitment. However, there are some risks associated with using cloud-based software for business purposes. Firstly, there is always the risk of data breaches due to cyber-attacks or human error.

Risk 100

Risk Cost-Benefit Software Technology 100

Alation

JANUARY 9, 2023

Alation joined with Ortecha , a data management consultancy, to publish a white paper providing insights and guidance to stakeholders and decision-makers charged with implementing or modernising data risk management functions. The Increasing Focus On Data Risk Management. Download the complete white paper now.

Risk Management 52

Risk Management Risk Management Metadata 52

IBM Big Data Hub

APRIL 19, 2024

Asset performance management (APM) processes, such as risk-based and predictive maintenance and asset investment planning (AIP), enable health monitoring technologies. Cybersecurity reduces risk exposure for cyberattacks on digitally connected assets. Risk-based asset strategies align maintenance efforts to balance costs and risks.

Management 91

Management Internet of Things Risk IoT 91

O'Reilly on Data

JUNE 15, 2023

The world changed on November 30, 2022 as surely as it did on August 12, 1908 when the first Model T left the Ford assembly line. Should we risk loss of control of our civilization?” The creators of generative AI systems and Large Language Models already have tools for monitoring, modifying, and optimizing them.

Metrics 284

Metrics Reporting Measurement Finance 284

CIO Business Intelligence

MARCH 3, 2024

Worse, it said “adversaries are accelerating and widening their range of sophisticated attacks at scale through automation, cybercrime-as-a-service models, impersonations and adaptation.” And only 45 percent of CISOs were very or somewhat concerned about the risks of unsecured printers, compared to 72 percent of CIOs. Using zero trust.

IT 111

IT Measurement Risk Testing 111

CIO Business Intelligence

NOVEMBER 6, 2023

This makes it more critical than ever to adopt strong security measures to protect sensitive information and infrastructure. A Defense in Depth strategy is essential because it helps businesses stay ahead of these risks by implementing multiple lines of defense.

Risk 132

Risk Measurement Cost-Benefit Strategy 132

IBM Big Data Hub

APRIL 15, 2024

The average employee works on autopilot, and to ensure that cybersecurity issues and risks are ingrained in their day-to-day decisions, we need to design and build programs that truly understand their intuitive way of working. This needs to be coupled with effective metrics to measure progress and demonstrate the value.

Metrics 94

Metrics Measurement Risk Data Processing 94

CIO Business Intelligence

OCTOBER 10, 2022

Bass further expanded the concept to include ways for measuring the success of transformational leadership. This model encourages leaders to demonstrate authentic, strong leadership with the idea that employees will be inspired to follow suit. Transformational leadership model. This leadership model doesn’t try to innovate.

Modeling 145

Modeling Digital Transformation Software Manufacturing 145

O'Reilly on Data

MAY 18, 2020

This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk. All predictive models are wrong at times?—just

Risk 359

Risk Modeling Data Processing Software 359

Domino Data Lab

MARCH 3, 2021

It’s often stated that nothing changes inside an enterprise because you’ve built a model. In some cases, data science does generate models directly to revenue, such as a contextual deal engine that targets people with offers that they can instantly redeem. But what about good decisions?

Metrics 93

Metrics Modeling Sales Data Science 93

CIO Business Intelligence

FEBRUARY 7, 2024

Key AI companies have told the UK government to speed up its safety testing for their systems, raising questions about future government initiatives that too may hinge on technology providers opening up generative AI models to tests before new releases hit the public.

Testing 124

Testing Reporting Risk Modeling 124

IBM Big Data Hub

JUNE 14, 2023

And then you need highly specialized, expensive and difficult to find skills to work the magic of training an AI model. But that’s all changing thanks to pre-trained, open source foundation models. Sometimes, you don’t know what data a model was trained on because the creators of those models won’t tell you.

Modeling 92

Modeling Data Lake Enterprise Deep Learning 92

IBM Big Data Hub

APRIL 24, 2024

Large language models (LLMs) may be the biggest technological breakthrough of the decade. While researchers have not yet found a way to completely prevent prompt injections, there are ways of mitigating the risk. While researchers have not yet found a way to completely prevent prompt injections, there are ways of mitigating the risk.

Risk 91

Risk Modeling Measurement Enterprise 91

O'Reilly on Data

JULY 28, 2020

These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ). Any metric can and will be abused.

Marketing 362

Marketing Experimentation Metrics Testing 362

CIO Business Intelligence

FEBRUARY 27, 2024

Your risk of data breach increases as soon as your assets are no longer protected from cyberthreats. This creates risk for the company, shareholders, customers and their brand. Identify unapproved and blocked installations to improve compliance and mitigate risk. The same principle applies to infrastructure.

Technology 105

Technology Management Manufacturing Cost-Benefit 105

Decision Management Solutions

APRIL 23, 2019

, in which he states there are only three levers of value in insurance: Sell More, Manage Risk Better (aka underwriting and adjusting), and Cost Less to Operate. Let’s dive into greater detail on the second lever – Manage Risk Better. Insurers can also manage risk more effectively through continuous improvement.

Insurance 69

Insurance Risk Technology Management 69

CIO Business Intelligence

AUGUST 18, 2023

For organizations seeking a collaborative win-win approach to outsourcing, the Vested sourcing business model is worth consideration. Pivot to an outcome-based business model Most outsourcing arrangements are traditionally built around a transactional model. Under the Vested model, the buyer specifies “what” they want.

Measurement 98

Measurement Modeling Risk Management 98

CIO Business Intelligence

MARCH 25, 2024

Cybersecurity in UAE’s companies is one of the top priorities; new work models and growing cyber threats have caused companies to dedicate more staff and capital to mitigating these types of risks. The entire ecosystem should engage proactively in reducing the UAE’s vulnerability to these threats.

IT 110

IT Reporting Risk Data-driven 110

CIO Business Intelligence

AUGUST 30, 2023

In my previous column in May, when I wrote about generative AI uses and the cybersecurity risks they could pose , CISOs noted that their organizations hadn’t deployed many (if any) generative AI-based solutions at scale. Today, it is, as they create a mysterious new risk and attack surface to defend against.

Enterprise 132

Enterprise Risk Measurement Software 132

erwin

MARCH 24, 2020

Technical teams charged with maintaining and executing these processes require detailed tasks, and business process modeling is integral to their documentation. erwin’s Evolve software is integral to modeling process flow requirements, but what about the technology side of the equation?

Modeling 97

Modeling Data Processing Software Finance 97

CIO Business Intelligence

MARCH 5, 2024

India’s Ministry of Electronics and Information Technology (MeitY) has caused consternation with its stern reminder to makers and users of large language models (LLMs) of their obligations under the country’s IT Act, after Google’s Gemini model was prompted to make derogatory remarks about Indian Prime Minister Narendra Modi.

Testing 128

Testing Modeling Cost-Benefit Reporting 128

Smart Data Collective

JULY 16, 2023

The Imperative of Risk Mitigation A crucial element in the world of financial investments is effective hedge fund management. Optimizing hedge fund performance requires the implementation of intelligent strategies, from managing risks to maximizing returns, improving investor relations, and adapting to shifting market conditions.

ROI 71

ROI Data Analytics Analytics Risk Management 71

O'Reilly on Data

APRIL 23, 2024

Some of those innovations, like Amazon’s cloud computing business, represented enormous new markets and a new business model. Google, for example, invented the Large Language model architecture that underlies today’s disruptive AI startups. These companies did continue to innovate. I think not.

Advertising 270

Advertising Cost-Benefit Marketing Risk 270

Cloudera

MAY 24, 2022

I recently attended the CeFPro environmental, social, and corporate governance (ESG) conference in London along with a variety of risk experts and ESG leaders from large global institutions. I discussed the complex modeling considerations of physical, transition, and alignment risks in a prior post about climate risk models. .

Risk 90

Risk Measurement Modeling Risk Management 90

CIO Business Intelligence

MAY 2, 2024

Security and risk management pros have a lot keeping them up at night. Using mobile cryptography to determine the authenticity of the device, its operating system, and the app it’s running is a crucial and decisive measure for stopping injection attacks in their tracks.

Strategy 114

Strategy Risk Management Risk Measurement 114

CIO Business Intelligence

APRIL 8, 2024

Working with partner Amazon Web Services (AWS), the NFL has developed Digital Athlete, a platform that uses computer vision and ML to predict which players are at the highest risk of injury based on plays and their body positions. Souza’s advice: Cultivate curiosity.

Analytics 115

Analytics Broadcasting Predictive Analytics Metrics 115

IBM Big Data Hub

NOVEMBER 29, 2023

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

Metrics 86

Metrics Machine Learning Risk Statistics 86

IBM Big Data Hub

MARCH 25, 2024

Get the study: The Revolutionary Content Supply Chain A content supply chain brings together people, processes, and technology to effectively plan, create, produce, launch, measure, and manage content. Beyond ethics risks, the study points out, there are also cost risks to consider.

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Uncertainty Cost-Benefit Risk Measurement 104