CIO Business Intelligence

DECEMBER 3, 2024

By classifying data based on its sensitivity and implementing access controls, organizations can prevent unauthorized access to confidential data, mitigating the risk of breaches or misuse of genAI applications. Data optimization. Protect sensitive information. Ensure ethical use. Discover personal and sensitive data.

Data Governance 115

Data Governance Snapshot Machine Learning Risk 115

CIO Business Intelligence

DECEMBER 5, 2024

This issue resulted in incorrect risk assessments, where high-risk claims were mistakenly approved, and legitimate claims were wrongly flagged as fraudulent. Incorporating custom knowledge graphs, enriched with domain expertise, further optimizes data consolidation.

Enterprise 105

Enterprise Insurance Unstructured Data Business Intelligence 105

CIO Business Intelligence

JANUARY 14, 2025

Just as state urban development offices monitor the health of different cities and provide targeted guidance based on each citys unique challenges, our portfolio health dashboard offers a comprehensive view that helps guide different business units toward optimal outcomes. Shawn McCarthy 3.

Enterprise 119

Enterprise Technology Metrics Measurement 119

CIO Business Intelligence

NOVEMBER 27, 2024

As a result, ​developers — regardless of their expertise in machine learning — will be able to develop and optimize business-ready large language models (LLMs). However, the biggest challenge for most organizations in adopting Operational AI is outdated or inadequate data infrastructure.

Data Architecture 131

Data Architecture Cost-Benefit Machine Learning Experimentation 131

CIO Business Intelligence

DECEMBER 19, 2024

The power of AI operations (AIOps) and ServiceOps, including BMC Helix Discovery , can transform how you optimize IT operations (ITOps), change management, and service delivery. New migrations and continuous features were being deployed, and the team was unable to prioritize process optimization and noise reduction efforts.

IT 98

IT Insurance Cost-Benefit Optimization 98

CIO Business Intelligence

JANUARY 6, 2025

One of them is Katherine Wetmur, CIO for cyber, data, risk, and resilience at Morgan Stanley. Wetmur says Morgan Stanley has been using modern data science, AI, and machine learning for years to analyze data and activity, pinpoint risks, and initiate mitigation, noting that teams at the firm have earned patents in this space.

IT 140

IT Cost-Benefit Measurement Experimentation 140

CIO Business Intelligence

DECEMBER 19, 2024

It empowers businesses to make informed decisions, optimize operations, and drive innovation. Enhanced sales performance: The platform has enabled Sparex to identify sales trends, optimize inventory levels, and improve customer satisfaction. Regularly assess and update security measures to mitigate risks.

Sales 122

Sales Analytics Key Performance Indicator Prescriptive Analytics 122

DataKitchen

NOVEMBER 27, 2024

Without contextual specificity, these dimensions risk becoming check-the-box exercises rather than actionable frameworks that help organizations identify and address the root causes of data quality issues. This approach allows enterprises to hold data suppliers accountable or optimize their ingestion processes to ensure higher data integrity.

Data Quality 216

Data Quality Dashboards Metrics Cost-Benefit 216

CIO Business Intelligence

APRIL 24, 2025

Not only does this information lack a competitive edge, but compliance costs and privacy risks often outweigh the profits. Dont shortchange potential risks Data monetization can be risky, particularly for organizations that arent accustomed to handling financial transactions. Strong security is essential, Agility Writers Yong says.

Data-driven 134

Data-driven Marketing Risk Sales 134

CIO Business Intelligence

MARCH 25, 2025

CIOs perennially deal with technical debts risks, costs, and complexities. While the impacts of legacy systems can be quantified, technical debt is also often embedded in subtler ways across the IT ecosystem, making it hard to account for the full list of issues and risks.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

David Menninger's Analyst Perspectives

NOVEMBER 12, 2024

Also center stage were Infor’s advances in artificial intelligence and process mining as well as its environmental, social and governance application and supply chain optimization enhancements. Optimize workflows by redesigning processes based on data-driven insights. Establish and support continuous improvement initiatives.

Finance 130

Finance Prescriptive Analytics Cost-Benefit Manufacturing 130

CIO Business Intelligence

OCTOBER 17, 2024

With the increased risks that come with leveraging an emerging technology like GenAI, maintaining the quality, security, and privacy of data assets should be a top priority. To choose the right AI model, you should first examine how AI can add value to their operations while driving efficiencies. Then there’s data readiness and governance.

Modeling 131

Modeling Data Processing Optimization Risk 131

DataFloq

JUNE 10, 2025

Ethical AI and Continuous Optimization are Crucial: Implement robust risk management frameworks and foster a culture of continuous learning and iteration to ensure responsible, effective, and sustainable GenAI deployment.

Cost-Benefit 105

Cost-Benefit Risk Management Business Objectives ROI 105

CIO Business Intelligence

DECEMBER 4, 2024

Three examples of modernization can be seen in our markets and payments businesses, as well as Chase.com for flagship platforms and markets and payments, massive amounts of elastic compute and modern cloud services have helped us analyze risk and market volatility,” she said.

Experimentation 122

Experimentation Risk Marketing Enterprise 122

Cloudera

DECEMBER 17, 2024

Traditional data architectures struggle to handle these workloads, and without a robust, scalable hybrid data platform, the risk of falling behind is real. High-velocity workloads like network data are best managed on-premises, where operators have more control and can optimize costs.

Enterprise 62

Enterprise Data Architecture Data-driven Optimization 62

CIO Business Intelligence

JULY 1, 2025

For example, an agentic system might proactively flag anomalies in transactions or optimize a workflow without waiting for human prompts. Our Below is a five-phase strategic planning framework that guides organizations through assessing opportunities to full adoption and optimization of agentic systems.

Insurance 115

Insurance Data-driven Cost-Benefit Strategy 115

CIO Business Intelligence

OCTOBER 24, 2024

This retreat risks stifling long-term growth and innovation as leaders realize that the ROI from AI will unfold over a more extended period of time than initially anticipated.” Determining the optimal level of autonomy to balance risk and efficiency will challenge business leaders,” Le Clair said.

ROI 127

ROI Data-driven Enterprise Experimentation 127

CIO Business Intelligence

DECEMBER 11, 2024

Thats a problem, since building commercial products requires a lot of testing and optimization. Other companies are also finding that open source gen AI models can offer more flexibility, security, and cost advantages, although there are risks. With open source, you have control over where youre using it and when itll go away, he says.

Cost-Benefit 115

Cost-Benefit Modeling Marketing Sales 115

CIO Business Intelligence

NOVEMBER 14, 2024

Such a large-scale reliance on third-party AI solutions creates risk for modern enterprises. As a result, many companies are now more exposed to security vulnerabilities, legal risks, and potential downstream costs. They can lean on AMPs to mitigate MLOps risks and guide them to long-term AI success.

Machine Learning 59

Machine Learning Risk Modeling Enterprise 59

KDnuggets

JULY 11, 2025

Traditional machine learning systems excel at classification, prediction, and optimization—they analyze existing data to make decisions about new inputs. Instead of optimizing for accuracy metrics, you evaluate creativity, coherence, and usefulness. This difference shapes everything about how you work with these systems.

Machine Learning 133

Machine Learning Testing Data Science Cost-Benefit 133

CIO Business Intelligence

OCTOBER 16, 2024

Dairyland Power Cooperative, a Wisconsin-based electricity supply company, for example, has turned to gen AI to improve optimization and performance of infrastructure in the field. “AI Edge computing can reduce latency, lower cost, and lower data exposure risks.” Another sector is manufacturing.

Cost-Benefit 143

Cost-Benefit Manufacturing Data-driven Optimization 143

AWS Big Data

NOVEMBER 21, 2024

This enhanced diversity helps optimize for cost and performance while increasing the likelihood of fulfilling capacity requirements. She specializes in capacity optimization and helps build services that allow customers to run big data applications and petabyte-scale data analytics faster.

Metrics 76

Metrics Machine Learning Strategy Big Data 76

CIO Business Intelligence

NOVEMBER 19, 2024

As the next generation of AI training and fine-tuning workloads takes shape, limits to existing infrastructure will risk slowing innovation. At the same time, optimizing nonstorage resource usage, such as maximizing GPU usage, is critical for cost-effective AI operations, because underused resources can result in increased expenses.

Management 116

Management Unstructured Data Deep Learning Metadata 116

CIO Business Intelligence

APRIL 8, 2025

Fragmented systems, inconsistent definitions, legacy infrastructure and manual workarounds introduce critical risks. The decisions you make, the strategies you implement and the growth of your organizations are all at risk if data quality is not addressed urgently. Manual entries also introduce significant risks.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

AWS Big Data

OCTOBER 11, 2024

By implementing a robust snapshot strategy, you can mitigate risks associated with data loss, streamline disaster recovery processes and maintain compliance with data management best practices. Snapshots play a critical role in providing the availability, integrity and ability to recover data in OpenSearch Service domains.

Snapshot 111

Snapshot Dashboards Management Testing 111

CIO Business Intelligence

NOVEMBER 1, 2024

One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized.

IT 122

IT Insurance Consulting Risk 122

CIO Business Intelligence

APRIL 24, 2025

In terms of openness, IBM provides an environment where companies can flexibly utilize open source and various partner technologies so that they are not locked into specific technologies, she said, explaining that this approach also helps reduce costs by providing language models optimized for the scale of work.

Finance 128

Finance Strategy Sales Risk 128

Cloudera

OCTOBER 22, 2024

MLOps standardizes processes and workflows for faster, scalable, and risk-free model deployment, centralizing model management, automating CI/CD for deployment, providing continuous monitoring, and ensuring governance and release best practices. Therefore, model optimization techniques are becoming central to LLMOps.

Risk Management 78

Risk Management Machine Learning Optimization Risk 78

CIO Business Intelligence

NOVEMBER 1, 2024

One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized.

IT 105

IT Insurance Consulting Risk 105

CIO Business Intelligence

DECEMBER 30, 2024

Key use cases include smart cities where AI will optimize energy consumption and traffic management, healthcare with AI-enhanced diagnostics and personalized treatments, and finance where AI will be pivotal in fraud detection and customer personalization. As digital transformation accelerates, so do the risks associated with cybersecurity.

IoT 106

IoT Digital Transformation Internet of Things Machine Learning 106

CIO Business Intelligence

JANUARY 21, 2025

Despite these setbacks and increased costs, Wei expressed optimism during the companys recent earnings call, assuring that the Arizona plant would meet the same quality standards as its facilities in Taiwan and forecasting a smooth production ramp-up. nm chips expected to be more prevalent next year.

Manufacturing 116

Manufacturing Cost-Benefit Recreation/Entertainment Technology 116

CIO Business Intelligence

JANUARY 21, 2025

CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns. CIOs should consider placing these five AI bets in 2025.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

KDnuggets

JULY 22, 2025

For that same real estate model, you could query Earth Engine’s data to add features like historical flood risk or even density of tree cover. You can take this further with Google Earth Engine integration, which brings petabytes of satellite imagery and environmental data into BigQuery.

Data Science 99

Data Science Machine Learning Advertising Modeling 99