CIO Business Intelligence

JANUARY 30, 2025

particular, companies that use AI systems can share their voluntary commitments to transparency and risk control. At least half of the current AI Pact signatories (numbering more than 130) have made additional commitments, such as risk mitigation, human oversight and transparency in generative AI content.

Enterprise 128

Enterprise Risk Reporting Measurement 128

DataKitchen

NOVEMBER 5, 2024

Next, data is processed in the Silver layer , which undergoes “just enough” cleaning and transformation to provide a unified, enterprise-wide view of core business entities. Bronze layers can also be the raw database tables. Bronze layers should be immutable.

Data Quality 195

Data Quality Testing Metrics Reporting 195

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

CIO Business Intelligence

JANUARY 14, 2025

The 2024 Enterprise AI Readiness Radar report from Infosys , a digital services and consulting firm, found that only 2% of companies were fully prepared to implement AI at scale and that, despite the hype , AI is three to five years away from becoming a reality for most firms. Is our AI strategy enterprise-wide?

Strategy 141

Strategy ROI Experimentation Risk 141

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.). Sources of model risk.

Machine Learning 52

Machine Learning Management Enterprise Risk Management 52

CIO Business Intelligence

MARCH 25, 2025

The proof of concept (POC) has become a key facet of CIOs AI strategies, providing a low-stakes way to test AI use cases without full commitment. Companies pilot-to-production rates can vary based on how each enterprise calculates ROI especially if they have differing risk appetites around AI. Its going to vary dramatically.

ROI 127

ROI IT Experimentation Risk 127

David Menninger's Analyst Perspectives

MAY 14, 2025

To fulfill todays data-driven agendas, many enterprises need an evolved perspective on data governance. Good data governance provides guardrails that enable enterprises to act fast while protecting the business from risks related to regulatory requirements, data-quality issues and data-reliability concerns.

Data Governance 130

Data Governance Data Quality Data-driven Metadata 130

CIO Business Intelligence

MARCH 19, 2025

Copilot Studio allows enterprises to build autonomous agents, as well as other agents that connect CRM systems, HR systems, and other enterprise platforms to Copilot. Then in November, the company revealed its Azure AI Agent Service, a fully-managed service that lets enterprises build, deploy and scale agents quickly.

Software 143

Software Risk Enterprise Cost-Benefit 143

CIO Business Intelligence

OCTOBER 15, 2024

Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps. It may surprise you, but DevOps has been around for nearly two decades.

Enterprise 143

Enterprise Testing Business Objectives Experimentation 143

CIO Business Intelligence

SEPTEMBER 17, 2024

CIOs often have a love-hate relationship with enterprise architecture. On the one hand, enterprise architects play a key role in selecting platforms, developing technical capabilities, and driving standards.

Enterprise 145

Enterprise Digital Transformation Cost-Benefit Risk 145

CIO Business Intelligence

JANUARY 7, 2025

Regardless of the driver of transformation, your companys culture, leadership, and operating practices must continuously improve to meet the demands of a globally competitive, faster-paced, and technology-enabled world with increasing security and other operational risks.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143

CIO Business Intelligence

APRIL 30, 2025

Agentic AI is the new frontier in AI evolution, taking center stage in todays enterprise discussion. Think summarizing, reviewing, even flagging risk across thousands of documents. Boosting IT and security AI agents are transforming software engineering , aiding in code generation , testing, refactoring, observability, and beyond.

IT 139

IT Sales Cost-Benefit Data-driven 139

CIO Business Intelligence

DECEMBER 18, 2024

Financial institutions have an unprecedented opportunity to leverage AI/GenAI to expand services, drive massive productivity gains, mitigate risks, and reduce costs. GenAI is also helping to improve risk assessment via predictive analytics.

Forecasting 105

Forecasting Predictive Analytics Risk Finance 105

CIO Business Intelligence

MAY 24, 2024

GRC certifications validate the skills, knowledge, and abilities IT professionals have to manage governance, risk, and compliance (GRC) in the enterprise. Enter the need for competent governance, risk and compliance (GRC) professionals. What are GRC certifications? Why are GRC certifications important?

Risk 119

Risk Risk Management Management Enterprise 119

CIO Business Intelligence

OCTOBER 24, 2024

Their top predictions include: Most enterprises fixated on AI ROI will scale back their efforts prematurely. The expectation for immediate returns on AI investments will see many enterprises scaling back their efforts sooner than they should,” Chaurasia and Maheshwari said. “The

ROI 127

ROI Data-driven Enterprise Experimentation 127

CIO Business Intelligence

FEBRUARY 26, 2025

Agentic AI was the big breakthrough technology for gen AI last year, and this year, enterprises will deploy these systems at scale. According to a January KPMG survey of 100 senior executives at large enterprises, 12% of companies are already deploying AI agents, 37% are in pilot stages, and 51% are exploring their use.

IT 141

IT Enterprise Interactive Data Quality 141

CIO Business Intelligence

AUGUST 21, 2024

And, yes, enterprises are already deploying them. Adding smarter AI also adds risk, of course. “At The big risk is you take the humans out of the loop when you let these into the wild.” When it comes to security, though, agentic AI is a double-edged sword with too many risks to count, he says. “We

Risk 136

Risk Insurance Cost-Benefit Software 136

DataKitchen

SEPTEMBER 20, 2021

Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. In a medium to large enterprise, many steps have to happen correctly to deliver perfect analytic insights. Start with just a few critical tests and build gradually.

Testing 246

Testing Metrics Measurement Dashboards 246

CIO Business Intelligence

JANUARY 21, 2025

Agentic AI promises to transform enterprise IT work. But before we explore the potential impact of agentic AI on ServiceOps, lets look at the change approval process in most large enterprises. The lack of a single approach to delivering changes increases the risk of introducing bugs or performance issues in production.

Data-driven 98

Data-driven Risk Interactive Management 98

O'Reilly on Data

JUNE 19, 2019

A catalog or a database that lists models, including when they were tested, trained, and deployed. Model operations, testing, and monitoring. As machine learning proliferates in products and services, we need a set of roles, best practices, and tools to deploy, manage, test, and monitor ML in real-world production settings.

Modeling 258

Modeling Machine Learning Testing Metrics 258

CIO Business Intelligence

SEPTEMBER 26, 2024

One is the security and compliance risks inherent to GenAI. To make accurate, data-driven decisions, businesses need to feed LLMs with proprietary information, but this risks exposing sensitive data to unauthorized parties. This layer serves as the foundation for enterprises to elevate their GenAI strategy.

Enterprise 130

Enterprise Data-driven Risk Testing 130

Smart Data Collective

AUGUST 30, 2022

Enterprise cloud technology applications are the future industry standard for corporations. Here’s how enterprises use cloud technologies to achieve a competitive advantage in their essential business applications. Testing new programs. The sudden growth is not surprising, because the benefits of the cloud are incredible.

Technology 140

Technology Enterprise Cost-Benefit Data Processing 140

CIO Business Intelligence

MARCH 5, 2025

If they decide a project could solve a big enough problem to merit certain risks, they then make sure they understand what type of data will be needed to address the solution. The next thing is to make sure they have an objective way of testing the outcome and measuring success. But we dont ignore the smaller players.

Testing 99

Testing Measurement Technology Experimentation 99

CIO Business Intelligence

DECEMBER 30, 2024

Vendors are adding gen AI across the board to enterprise software products, and AI developers havent been idle this year either. According to a Bank of America survey of global research analysts and strategists released in September, 2024 was the year of ROI determination, and 2025 will be the year of enterprise AI adoption.

Software 141

Software ROI Modeling Interactive 141

CIO Business Intelligence

FEBRUARY 21, 2025

Birmingham City Councils (BCC) troubled enterprise resource planning (ERP) system, built on Oracle software, has become a case study of how large-scale IT projects can go awry. Integration with Oracles systems proved more complex than expected, leading to prolonged testing and spiraling costs, the report stated.

Reporting 90

Reporting Risk Testing Risk Management 90

Smart Data Collective

NOVEMBER 12, 2021

Designed to test the efficacy of existing security controls and improve them, BAS spots vulnerabilities in security environments by mimicking the possible attack paths and methods that will be employed by hackers and other bad actors. BAS is one of the top features in security posture management platforms for enterprises.

Strategy 143

Strategy Enterprise Testing Cost-Benefit 143

CIO Business Intelligence

APRIL 30, 2025

These IT pros are tasked with overseeing the adoption of cloud-based AI solutions in an enterprise environment, further expanding the responsibility scope of the role. These IT pros can help navigate the process, which can take years navigating potential risks and ensuring a smooth transition.

Testing 108

Testing Cost-Benefit Optimization Software 108

CIO Business Intelligence

JULY 22, 2024

This not only scales human effort but also enhances diagnostic accuracy, enabling radiologists to focus on more complex cases and significantly reducing the risk of oversight. By analyzing problem reports and test failures, AI can identify patterns and underlying issues that human operators might miss.

Enterprise 126

Enterprise Testing Predictive Analytics Metrics 126

CIO Business Intelligence

OCTOBER 17, 2024

] Forty-one percent of organizations adopted and used digital platforms for all or most functions in 2024, compared with just 26% in 2023, according to IDC’s May 2024 Future Enterprise Resiliency and Spending Survey, Wave 5. million machines worldwide, serves as a stark reminder of these risks.

Risk 108

Risk Experimentation Testing Strategy 108

CIO Business Intelligence

NOVEMBER 13, 2024

There’s already more low-quality AI content flooding search results, and this can hurt employees looking for information both on the public web and in enterprise knowledge repositories. And we’re at risk of being burned out.” Finding a result that’s actually useful can be like looking for a needle in a haystack.

IT 141

IT Consulting ROI Cost-Benefit 141

CIO Business Intelligence

DECEMBER 2, 2024

Business risk (liabilities): “Our legacy systems increase our cybersecurity exposure by 40%.” Our research shows 52% of organizations are increasing AI investments through 2025 even though, along with enterprise applications, AI is the primary contributor to tech debt. Also, beware the proof-of-concept trap.

ROI 136

ROI Cost-Benefit Metrics Strategy 136

David Menninger's Analyst Perspectives

SEPTEMBER 24, 2024

As I’ve written recently , artificial intelligence governance is a concern for many enterprises. erroneous results), and an equal amount (32%) mentioned legal risk. It can subject an enterprise to fines or other legal consequences, disrupt operations and damage an enterprise’s reputation.

Testing 173

Testing Modeling Enterprise Risk 173

CIO Business Intelligence

OCTOBER 8, 2024

For most enterprises, the answer, unfortunately, is yes. For those rare enterprises where innovation is more than a bullet point on a strategy statement embedded keep inside their SEC 10K, there is a repeatable approach for addressing the emerging unknown with great certainty. Test the customer waters.

Risk 124

Risk Technology Cost-Benefit Internet of Things 124

CIO Business Intelligence

OCTOBER 17, 2024

Allegations of fraud and security risks The indictment details that the fraudulent certification, combined with misleading claims about the facility’s capabilities, led the SEC to award Jain’s company the contract in 2012. The scheme allegedly put the SEC’s data security and operational integrity at risk.

Broadcasting 122

Broadcasting Risk Reporting Measurement 122

CIO Business Intelligence

APRIL 8, 2025

Fragmented systems, inconsistent definitions, legacy infrastructure and manual workarounds introduce critical risks. I aim to outline pragmatic strategies to elevate data quality into an enterprise-wide capability. These inconsistencies fuel reporting errors, undermine analytics and stall enterprise-wide alignment.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

Rocket-Powered Data Science

FEBRUARY 15, 2023

3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? Keep it agile, with short design, develop, test, release, and feedback cycles: keep it lean, and build on incremental changes. Test early and often. Test and refine the chatbot.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

CIO Business Intelligence

JANUARY 30, 2025

These changes can expose businesses to risks and vulnerabilities such as security breaches, data privacy issues and harm to the companys reputation. It also includes managing the risks, quality and accountability of AI systems and their outcomes. AI governance is critical and should never be just a regulatory requirement.

Testing 93

Testing Metrics Cost-Benefit Modeling 93