CIO Business Intelligence

MARCH 18, 2024

We need to be ready to respond to our CEO to solve problems with AI,” says Srini Gudipati, CIO of Covanta, a company that specializes in sustainable materials management, including large-scale recycling. There are a lot of risks and a lot of land mines to navigate,” says the analyst. The opportunity is too big. billion in 2024 to $521.0

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Risk Cost-Benefit Data Processing Testing 123

Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. .

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CIO Business Intelligence

NOVEMBER 13, 2023

The challenge some companies face, however, is the change management of the structured approach for handling alterations within a development cycle. Change management is an enabling framework for managing people through a change, in this case, related to a product in production. Change management brings consistency to DevOps.

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Management Key Performance Indicator Testing Digital Transformation 123

datapine

OCTOBER 11, 2023

This is no different in the logistics industry, where warehouse managers track a range of KPIs that help them efficiently manage inventory, transportation, employee safety, and order fulfillment, among others. It allows for informed decision-making and efficient risk mitigation. Let’s dive in with the definition.

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Metrics KPI Management Cost-Benefit 217

CIO Business Intelligence

OCTOBER 20, 2023

How does a company approach data integration and management when in the throes of an M&A? Organizations may feel the need to consolidate some of the new data they’ve acquired to better manage and glean straightforward insights, but this is not the case.

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Cloudera

FEBRUARY 4, 2021

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. Cloudera is that platform. End-to-end Data Lifecycle.

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Risk Marketing Technology Management 88

DataRobot Blog

APRIL 29, 2022

This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. 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.

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CIO Business Intelligence

AUGUST 4, 2023

In collaboration with our peers, we have a solid business sense that carefully weighs innovation and risk in order to gain valuable ROI while protecting the organization from all forms of risk associated with each project. If reversible, then there’s clearly less risk. What’s new and different today?

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Risk Risk Management ROI Technology 88

Smart Data Collective

MAY 7, 2023

million —and organizations are constantly at risk of cyber-attacks and malicious actors. In order to protect your business from these threats, it’s essential to understand what digital transformation entails and how you can safeguard your company from cyber risks. What is cyber risk?

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Digital Transformation Risk Strategy Testing 106

O'Reilly on Data

OCTOBER 30, 2023

adversarial testing to determine a model’s flaws and weak points), and not a wider range of information that would help to address many of the other concerns outlined in the EO. Methods by which the AI provider manages and mitigates risks identified via Red Teaming, including their effectiveness.

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Measurement Risk Modeling Metrics 307

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.

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Risk Management Risk Modeling Enterprise 64

CIO Business Intelligence

JANUARY 19, 2023

Schneider Electric’s IT organization achieved that goal by reducing the layers for technology- and budget-related approvals, and by trusting managers and staff to make as many of those decisions as possible within the company’s “delegation of authority pathways” framework. They just need visibility.

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IBM Big Data Hub

SEPTEMBER 6, 2023

Organizations rely on the vulnerability management process to head off these cyberthreats before they strike. The vulnerability management process is a continuous process for discovering, prioritizing, and resolving security vulnerabilities across an organization’s IT infrastructure.

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Management Metrics Risk Reporting 98

Cloudera

MARCH 28, 2019

The trouble is, mortgage lenders persist in relying on historical macro-economic assumptions in their models so they risk repeating the errors of a decade ago when banks – and their regulators – failed to recognize the warning signs from a far richer source: low-level micro-economic data. Risk management 3.0.

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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.

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Insurance Risk Technology Management 69

Cloudera

OCTOBER 20, 2021

As governments gather to push forward climate and renewable energy initiatives aligned with the Paris Agreement and the UN Framework Convention on Climate Change, financial institutions and asset managers will monitor the event with keen interest. What are the key climate risk measurements and impacts? They need to understand; .

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Risk Modeling Risk Management Measurement 80

CIO Business Intelligence

MAY 17, 2022

Even if the AI apocalypse doesn’t come to pass, shortchanging AI ethics poses big risks to society — and to the enterprises that deploy those AI systems. The following real-world implementation issues highlight prominent risks every IT leader must account for in putting together their company’s AI deployment strategy.

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IBM Big Data Hub

APRIL 9, 2024

It would be a huge challenge for a human to manage these models, so we use the autoAI feature of watsonx to help us build the right model and pick the best projection.” Watsonx.governance makes it easy to manage and deploy all these models effectively.” ” Watsonx.ai

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Management IT Machine Learning Metrics 79

CIO Business Intelligence

SEPTEMBER 22, 2022

Two years on since the start of the pandemic, stress levels of tech and security executives are still elevated as global skills shortages, budget limitations and an ever faster and expanding security threat landscape test resilience. “In I realised this when I failed one of our internal phishing simulation tests,” she says. “I

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Management Uncertainty Testing Data Processing 120

bridgei2i

NOVEMBER 20, 2020

Episode 2: AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. Today the Chief Risk Officers(CROs) struggle with the critical task of monitoring and assessing key risks in real time and firefight to mitigate any critical issues that arise.

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Risk Management Risk Management Metrics 92

CIO Business Intelligence

JUNE 15, 2023

Despite headlines warning that artificial intelligence poses a profound risk to society , workers are curious, optimistic, and confident about the arrival of AI in the enterprise, and becoming more so with time, according to a recent survey by Boston Consulting Group (BCG). For many, their feelings are based on sound experience.

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CIO Business Intelligence

AUGUST 16, 2023

Today, state-owned Svevia is the country’s largest company in the operation and maintenance of roads and bridges, and manages over 50% of the road network yet, just like in the construction industry, it’s been relatively late to digitization. In some areas, they’re testing the use of roadside sensors, weather data, and data from vehicles.

Risk 77

Risk Cost-Benefit Digital Transformation Internet of Things 77

CIO Business Intelligence

MAY 11, 2022

When astute executives, including CIOs, cheat disruption by focusing on business continuity management (BCM) programs that build resilience, the enterprise transformation can prosper. Implement more disciplined validation and testing. But these losses can be minimized. Collaboration is an all-way street.

Management 82

Management Testing Insurance Finance 82

datapine

MARCH 8, 2021

Your Chance: Want to test a healthcare reporting software for free? Preventative management. Simon, MD, MPH, a senior investigator at Kaiser Permanente, said: “We demonstrated that we can use electronic health record data in combination with other tools to accurately identify people at high risk for suicide attempt or suicide death.”.

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Reporting KPI Management Cost-Benefit 198

CIO Business Intelligence

JUNE 9, 2023

It’s a time-tested truth: Getting a head start improves outcomes. Such is the case with a data management strategy. That gap is becoming increasingly apparent because of artificial intelligence’s (AI) dependence on effective data management. The benefits of data management are universal. The second best time is now.”

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Strategy Management Key Performance Indicator ROI 105

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.”

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Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

MARCH 18, 2024

But while there’s plenty of excitement and change underway, security risks and vulnerabilities have continued to follow right alongside that innovation. Digital operational resilience testing : Sets out guidance for testing of existing recovery strategies to identify potential vulnerabilities.

Risk Management 95

Risk Management Insurance Risk Testing 95

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

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Management Machine Learning Experimentation Metrics 339

O'Reilly on Data

JUNE 15, 2023

Should we risk loss of control of our civilization?” They were not imposed from without, but were adopted because they allowed merchants to track and manage their own trading ventures. And they are stress testing and “ red teaming ” them to uncover vulnerabilities.

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Metrics Reporting Measurement Finance 292

CIO Business Intelligence

AUGUST 28, 2023

Agile project management definition Agile project management is a methodology used primarily in software development that favors flexibility and collaboration, incorporating customer feedback throughout the project life cycle.

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Management Software Testing Risk 93

DataRobot Blog

MAY 26, 2022

To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses.

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Risk Modeling Metrics Business Objectives 52

AWS Big Data

MARCH 18, 2024

Amazon Managed Service for Apache Flink , which offers a fully managed, serverless experience in running Apache Flink applications, now supports Apache Flink 1.18.1 , the latest version of Apache Flink at the time of writing. and supported in Amazon Managed Service for Apache Flink. The dependency for Apache Flink 1.18

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CIO Business Intelligence

MAY 3, 2022

Here are some of the ways managing cloud environments is becoming more complex and challenging, and what organizations can do to succeed amidst these difficulties. Governance programs can be structured and managed in many different ways, and they are critical to a successful cloud strategy. Addressing cybersecurity risks.

Management 142

Management Scorecard Cost-Benefit Risk 142

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? However, with all good things comes many challenges and businesses often struggle with managing their information in the correct way. Enters data quality management. What Is Data Quality Management (DQM)? Why Do You Need Data Quality Management? Table of Contents.

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CIO Business Intelligence

JULY 17, 2023

Cloud infrastructure is especially sensitive, as many critical applications are at risk, such as customer-facing applications. Its WAAP security platform enables organizations to implement effective security into modern web applications, innovate faster and mitigate risks with its unified, multi-layer approach. Network Security

Management 90

Management Data Processing Risk Digital Transformation 90

Laminar Security

JUNE 29, 2023

Using a risk-based approach to deal with policy violations and continuous compliance monitoring will help avoid data exposures and fines. Organizations risk significantly increasing public cloud data risks if they don’t take necessary steps to improve its security. Public cloud spending and adoption is growing fast.

Risk 52

Risk Big Data Testing Management 52

CIO Business Intelligence

JUNE 7, 2022

It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. To ensure robust analysis, data analytics teams leverage a range of data management techniques, including data mining, data cleansing, data transformation, data modeling, and more.

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