CIO Business Intelligence

JANUARY 24, 2024

The product — a building or bridge — might be physical but it can be represented digitally, through virtual design and construction, she says, with elements of automation that can optimize and streamline entire business processes for how physical products are delivered to clients. Hire the right architects.

Risk Management 106

Risk Management Risk Management Digital Transformation 106

CIO Business Intelligence

JANUARY 4, 2024

Financial institutions must ensure the protection of sensitive personal information, most commonly payment card data, to maintain, trust and meet various regulatory requirements. Consistency and risk management A security product/pattern might fulfill many security controls at the enterprise level.

Optimization 99

Optimization Cost-Benefit Reporting Enterprise 99

Cloudera

DECEMBER 19, 2023

There, I met with IT leaders across multiple lines of business and agencies in the US Federal government focused on optimizing the value of AI in the public sector. AI can optimize citizen-centric service delivery by predicting demand and customizing service delivery, resulting in reduced costs and improved outcomes.

Optimization 88

Optimization Cost-Benefit Unstructured Data Risk 88

CIO Business Intelligence

AUGUST 7, 2023

Organizations big and small, across every industry, need to manage IT risk. based IT directors and vice presidents in companies with more than 1,000 employees to determine what keeps them up at night—and it comes as no surprise that one of their biggest nightmares is managing IT risk. trillion annually by 2025.

Risk 94

Risk IT Management Risk Management 94

Smart Data Collective

JULY 8, 2021

Let’s talk about some benefits and risks of artificial intelligence. Artificial Intelligence requires feeding accurate information through a set of algorithms so a machine can make future decisions. The AI world is experiencing fast development and we will soon have new AI-powered machines with optimized machine learning abilities.

Risk 141

Risk Cost-Benefit Machine Learning Deep Learning 141

The Unofficial Google Data Science Blog

APRIL 23, 2024

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). However, joint optimization is possible by increasing both $x_1$ and $x_2$ at the same time.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

CIO Business Intelligence

JULY 28, 2023

Data catalogs and integration tools provide an invaluable inventory of data assets to optimize data discovery and business efficiencies while ensuring regulatory compliance and consistent information quality. For example, it can also provide additional information on the data’s source and value.

Risk 87

Risk Data Governance Enterprise Data Integration 87

Smart Data Collective

APRIL 19, 2021

But in most instances, the real risk comes from within. Quite often, staff and employees may not be aware that they are leaking information. From conversing on personal devices (BYODs) to sending documents to the wrong recipient, or using unsecured applications for transfers, the risk for potential leaks is high.

Risk 120

Risk Management Measurement Optimization 120

Smart Data Collective

FEBRUARY 3, 2022

If they wish to implement this model, they need to have an information collection system to keep track of billing and customer requests. If a company fails to do so, customer satisfaction is put at risk. In addition, the business will need to have basic customer info such as chosen products, payment method, and contact information.

Optimization 109

Optimization Data Analytics Modeling Analytics 109

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 71

Insurance Risk Testing Data Quality 71

Jet Global

FEBRUARY 6, 2024

No longer passive consumers of information, you become master storytellers, captivating audiences with visual masterpieces crafted from data. Logi Symphony fosters a collaborative data-sharing ecosystem, dismantling the walls of information silos and replacing them with transparency and efficiency. The result?

Dashboards 52

Dashboards Visualization Data-driven Reporting 52

CIO Business Intelligence

DECEMBER 4, 2023

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. In contrast, the new lifecycle is distinctly digital , agile , and recursive. Structure/Operationalize. Connect/Activate.

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

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. It knows exactly where the compliance information is in a 300-page document,” Soundarapandian says.

Risk 52

Risk Cost-Benefit Unstructured Data Data-driven 52

CIO Business Intelligence

SEPTEMBER 23, 2022

At the foundation of cybersecurity is the need to understand your risks and how to minimize them. Individuals and organizations often think about risk in terms of what they’re trying to protect. When talking about risk in the IT world, we mainly talk about data, with terms like data privacy, data leakage and data loss.

Risk Management 79

Risk Management Risk Strategy Management 79

IBM Big Data Hub

MAY 1, 2023

However, regardless of your cloud cost optimization strategy, achieving operational excellence at scale and taking advantage of the elasticity of the cloud requires software that optimizes your consumption simultaneously for performance and cost—and makes it easy for you to automate it, safely and confidently.

Optimization 83

Optimization ROI Consulting Dashboards 83

CIO Business Intelligence

AUGUST 16, 2023

In order to do that, a digital transformation was required, and when it comes to information provision, there wasn’t much, so we put in place basic platforms to handle data, and developed a cloud architecture for infrastructure and applications.” We wanted to create an information supply for the entire company, though.”

Risk 88

Risk Cost-Benefit Digital Transformation Internet of Things 88

Smart Data Collective

JULY 9, 2023

One benefit is that they can help with conversion rate optimization. It is a crucial metric that provides priceless information about your website’s ability to transform visitors into paying customers. One report found that global e-commerce brands spent over $16.7 billion on analytics last year.

Optimization 74

Optimization Data Analytics Analytics Data-driven 74

Smart Data Collective

FEBRUARY 9, 2022

Luckily, there are a few analytics optimization strategies you can use to make life easy on your end. Exit based on strategies: Such plans can assist you in limiting losses as they inform the system when to stop trading. Helps you to determine areas of abnormal losses and profits to optimize your trading algorithm.

Visualization 133

Visualization Optimization Analytics Testing 133

Smart Data Collective

FEBRUARY 14, 2023

However, it is important to understand the benefits and risks associated with cloud computing before making the commitment. This allows people to have their important information available without taking up memory on a specific device. However, there are some risks associated with using cloud-based software for business purposes.

Risk 97

Risk Cost-Benefit Software Technology 97

CIO Business Intelligence

FEBRUARY 1, 2023

As organizations of all stripes continue their migration to the cloud, they are coming face to face with sometimes perplexing cost issues, forcing them to think hard about how best to optimize workloads, what to migrate, and who exactly is responsible for what. You need to “identify benefits and risks,” Seiter said.

Optimization 110

Optimization Cost-Benefit Consulting Strategy 110

Jet Global

MARCH 30, 2021

It follows that tax teams should think about how they can make significant contributions to the ERM planning process by providing short, mid- and long-term ETR forecasts based on accurate financial information. Take Responsibility for Risk Oversight. Take Responsibility for Risk Oversight. Foster an Appropriate Risk Mindset.

Risk Management 98

Risk Management Risk Strategy Enterprise 98

CIO Business Intelligence

MARCH 22, 2023

However, they face a significant challenge in ensuring privacy due to sensitive Personally Identifiable Information (PII) in most enterprise datasets. Then the trained models become consumers of vast amounts of data to gain insights to inform business decisions. Safeguarding PII is not a new problem.

Machine Learning 103

Machine Learning Cost-Benefit Modeling Risk 103

Smart Data Collective

OCTOBER 13, 2021

It’s similar to prices – price optimization through machine learning is a great tool to grow your revenue. By processing and analyzing big amounts of data, they can help you establish optimized pricing plans. Hire machine learning to make optimal pricing decisions. Price optimization without machine learning is incomplete.

Machine Learning 125

Machine Learning Optimization Software Modeling 125

DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States. To reference SR 11-7: .

Risk 64

Risk Modeling Machine Learning Data Quality 64

Smart Data Collective

JULY 20, 2022

A growing number of businesses use big data technology to optimize efficiency. While there are various interpretations or models to address such problems, Lean Thinking can contribute to the implementation of more optimal projects for a business. These decisions are better informed and therefore less prone to error.

Data-driven 123

Data-driven Optimization Big Data Data Strategy 123

IBM Big Data Hub

OCTOBER 16, 2023

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Trustworthiness is critical.

Risk 73

Risk Modeling Management Metadata 73

IBM Big Data Hub

APRIL 12, 2024

Asset investment planning (AIP) tools bring value in optimizing various, sometimes conflicting, value drivers. However, they follow different approaches to risk management by using a risk matrix to assess risk at the start of an optimization cycle. This approach leads to suboptimization.

Optimization 86

Optimization Risk Risk Management Management 86

O'Reilly on Data

APRIL 23, 2024

Not to be confused with the ordinary sense of rent as a charge for temporary use of property, economic rents are the income above a competitive market rate that is collected because of asymmetries in ownership, information, or power. What information consumes is rather obvious: it consumes the attention of its recipients.

Advertising 265

Advertising Cost-Benefit Marketing Risk 265

John Wheeler

OCTOBER 21, 2019

Over the past month, I’ve been speaking to various groups to help them prepare for the onslaught of digital risks in their organizations. A common theme is the need for greater risk quantification beyond the realm of traditional, qualitative governance, risk and compliance (GRC) approaches.

Risk 53

Risk Risk Management Digital Transformation Insurance 53

CIO Business Intelligence

MAY 15, 2024

This is driving a greater degree of risk in complex environments. GenAI’s ability to rapidly summarize vast quantities of information and provide answers from an established data set is fast making it a hit with incident response teams. In those circumstances, the risk outweighs any expected rewards.

Machine Learning 122

Machine Learning Risk Data-driven Testing 122

IBM Big Data Hub

AUGUST 16, 2023

Nevertheless, I also understand the criticality of evaluating the inherent risks before embarking on its direct adoption within our organizations. In this discussion, I explore the risks and challenges associated with ChatGPT in an enterprise context, necessitating a careful approach to its implementation.

Risk 56

Risk Modeling Enterprise Interactive 56

Rita Sallam

JUNE 2, 2023

Are there mitigation strategies that show reasons for optimism? The Bake-Offs are fast-paced, fun and informative sessions that let you see leading vendors side-by-side using scripted demos and a common data set in a controlled setting. And this year’s Bake-Offs did not disappoint! Here is the link to Qlik’s BI Bake-Off video.

Optimization 52

Optimization Insurance Machine Learning Risk 52

CIO Business Intelligence

APRIL 16, 2024

With the emergence of GenAI capabilities, fast-tracking digital transformation deployments are likely to change manufacturing as we know it, creating an expanding chasm of leaders versus followers, the latter of which will risk obsolescence. However, despite the benefits of GenAI, there are some areas of risk. Bias and fairness.

Manufacturing 141

Manufacturing Digital Transformation Risk Dashboards 141

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.

Risk 88

Risk Marketing Technology Management 88

Rita Sallam

APRIL 2, 2023

Are there mitigation strategies that show reasons for optimism? The Bake-Offs are fast-paced, fun and informative sessions that let you see leading vendors side-by-side using scripted demos and a common data set in a controlled setting. And this year’s Bake-Offs did not disappoint! Here is the link to Qlik’s BI Bake-Off video.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Jedox

NOVEMBER 23, 2021

The goal is to adopt an entrepreneurial mindset, make proactive decisions and to optimally support this with a professional, fully integrated S&OP solution. 5 steps to optimize S&OP performance. Step 1 – Product portfolio optimization based on strategic company goals. Figure 2: Go-to-market planning.

Optimization 74

Optimization Forecasting Sales Measurement 74

IBM Big Data Hub

AUGUST 7, 2023

In this article, we outline how biopharma companies can potentially harness an AI-driven approach to make informed decisions based on evidence and increase the likelihood of success of a clinical trial site. AI can also empower trial managers and executives with the data to make strategic decisions.

Optimization 57

Optimization Forecasting Data-driven Strategy 57