CIO Business Intelligence

OCTOBER 22, 2024

Gartner’s top predictions for 2025 are as follows: Through 2026, 20% of organizations will use AI to flatten their organizational structure, eliminating more than half of current middle management positions. CMOs view GenAI as a tool that can launch both new products and business models.

Enterprise 135

Enterprise Risk IoT Cost-Benefit 135

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

DataKitchen

MARCH 20, 2025

Unlocking Data Team Success: Are You Process-Centric or Data-Centric? Over the years of working with data analytics teams in large and small companies, we have been fortunate enough to observe hundreds of companies. We want to share our observations about data teams, how they work and think, and their challenges.

Data Quality 161

Data Quality Testing Metrics Management 161

CIO Business Intelligence

JANUARY 14, 2025

Do we have the data, talent, and governance in place to succeed beyond the sandbox? These, of course, tend to be in a sandbox environment with curated data and a crackerjack team. But as CIOs devise their AI strategies, they must ask whether theyre prepared to move a successful AI test into production, Mason says.

Strategy 141

Strategy ROI Experimentation Risk 141

CIO Business Intelligence

JANUARY 21, 2025

CIOs were given significant budgets to improve productivity, cost savings, and competitive advantages with gen AI. 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.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

O'Reilly on Data

MARCH 18, 2020

The update sheds light on what AI adoption looks like in the enterprise— hint: deployments are shifting from prototype to production—the popularity of specific techniques and tools, the challenges experienced by adopters, and so on. Most companies that were evaluating or experimenting with AI are now using it in production deployments.

Enterprise 349

Enterprise Deep Learning Data Governance Risk 349

CIO Business Intelligence

NOVEMBER 28, 2024

Courage and the ability to manage risk In the past, implementing bold technological ideas required substantial financial investment. Effective IT leadership now demands not only the courage to innovate but also a profound understanding of change management principles.

IT 130

IT Data Governance Risk Consulting 130

CIO Business Intelligence

OCTOBER 30, 2024

AI’s ability to automate repetitive tasks leads to significant time savings on processes related to content creation, data analysis, and customer experience, freeing employees to work on more complex, creative issues. Building a strong, modern, foundation But what goes into a modern data architecture?

Enterprise 139

Enterprise Data Architecture Unstructured Data Insurance 139

David Menninger's Analyst Perspectives

NOVEMBER 12, 2024

Infor offers applications for enterprise resource planning, supply chain management, customer relationship management and human capital management, among others. And its GenAI knowledge hub uses retrieval-augmented generation to provide immediate access to knowledge, potentially from multiple data sources.

Finance 130

Finance Prescriptive Analytics Cost-Benefit Manufacturing 130

CIO Business Intelligence

MARCH 19, 2025

Then in November, the company revealed its Azure AI Agent Service, a fully-managed service that lets enterprises build, deploy and scale agents quickly. Before that, though, ServiceNow announced its AI Agents offering in September, with the first use cases for customer service management and IT service management, available in November.

Software 143

Software Risk Enterprise Cost-Benefit 143

O'Reilly on Data

MAY 14, 2020

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI products.

Management 364

Management Experimentation B2B Machine Learning 364

CIO Business Intelligence

NOVEMBER 27, 2024

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

CIO Business Intelligence

NOVEMBER 11, 2024

Those bullish numbers don’t surprise many CIOs, as IT leaders from nearly every vertical are rolling out generative AI proofs of concept, with some already in production. This also extends to SaaS providers like SAP and Salesforce that are adding AI features to their products,” he says. Only 13% plan to build a model from scratch.

ROI 137

ROI Cost-Benefit Risk Experimentation 137

David Menninger's Analyst Perspectives

MAY 14, 2025

Data governance has always been a critical part of the data and analytics landscape. However, for many years, it was seen as a preventive function to limit access to data and ensure compliance with security and data privacy requirements. Data governance is integral to an overall data intelligence strategy.

Data Governance 130

Data Governance Data Quality Data-driven Metadata 130

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). You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door. Why AI software development is different.

Management 363

Management Machine Learning Experimentation Metrics 363

CIO Business Intelligence

JANUARY 9, 2025

It demands a robust foundation of consistent, high-quality data across all retail channels and systems. Enter Akeneo, a global leader in Product Experience Management (PXM) and AI tech stack solutions. AI has the power to revolutionise retail, but success hinges on the quality of the foundation it is built upon: data.

B2B 105

B2B Data-driven Cost-Benefit Sales 105

DataKitchen

NOVEMBER 5, 2024

The Race For Data Quality In A Medallion Architecture The Medallion architecture pattern is gaining traction among data teams. It is a layered approach to managing and transforming data. It sounds great, but how do you prove the data is correct at each layer? How do you ensure data quality in every layer ?

Data Quality 195

Data Quality Testing Metrics Reporting 195

CIO Business Intelligence

JANUARY 6, 2025

They want to expand their use of artificial intelligence, deliver more value from those AI investments, further boost employee productivity, drive more efficiencies, improve resiliency, expand their transformation efforts, and more. One of them is Katherine Wetmur, CIO for cyber, data, risk, and resilience at Morgan Stanley.

IT 140

IT Cost-Benefit Measurement Experimentation 140

CIO Business Intelligence

DECEMBER 11, 2024

In todays economy, as the saying goes, data is the new gold a valuable asset from a financial standpoint. A similar transformation has occurred with data. More than 20 years ago, data within organizations was like scattered rocks on early Earth.

Management 111

Management Data Governance Data Science Reporting 111

CIO Business Intelligence

MARCH 25, 2025

For every 33 AI POCs a company launched, only four graduated to production, IDC found. The high number of Al POCs but low conversion to production indicates the low level of organizational readiness in terms of data, processes and IT infrastructure, IDCs authors report. Its going to vary dramatically. Its not a waste, he says.

ROI 127

ROI IT Experimentation Risk 127

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 122

IT Insurance Consulting Risk 122

CIO Business Intelligence

NOVEMBER 18, 2024

In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. If the data volume is insufficient, it’s impossible to build robust ML algorithms. If the data quality is poor, the generated outcomes will be useless.

Data-driven 111

Data-driven Machine Learning ROI Uncertainty 111

CIO Business Intelligence

JANUARY 14, 2025

This transformation requires a fundamental shift in how we approach technology delivery moving from project-based thinking to product-oriented architecture. By offering higher-level abstractions platforms, patterns, shared-services and guardrails enterprise architects reduce toil, preserve quality and accelerate product delivery.

Enterprise 119

Enterprise Technology Metrics Measurement 119

AWS Big Data

JANUARY 9, 2025

In this post, we focus on data management implementation options such as accessing data directly in Amazon Simple Storage Service (Amazon S3), using popular data formats like Parquet, or using open table formats like Iceberg. Data management is the foundation of quantitative research.

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111

O'Reilly on Data

MARCH 25, 2025

Two big things: They bring the messiness of the real world into your system through unstructured data. When your system is both ingesting messy real-world data AND producing nondeterministic outputs, you need a different approach. People have been building data products and machine learning products for the past couple of decades.

Testing 174

Testing Data-driven Software Measurement 174

CIO Business Intelligence

APRIL 24, 2025

Companies are intrigued by AIs promise to introduce new efficiencies into business processes, but questions about costs, return on investment, employee experience and expectations, and change management remain important concerns. We have achieved a productivity improvement of $3.5 The bottom line?

Finance 128

Finance Strategy Sales Optimization 128

CIO Business Intelligence

DECEMBER 10, 2024

Still, CIOs have reason to drive AI capabilities and employee adoption, as only 16% of companies are reinvention ready with fully modernized data foundations and end-to-end platform integration to support automation across most business processes, according to Accenture. Many early gen AI wins have centered around productivity improvements.

Sales 143

Sales Metrics Data-driven Unstructured Data 143

CIO Business Intelligence

NOVEMBER 13, 2024

And in August, OpenAI said its ChatGPT now has more than 200 million weekly users — double what it had last November, with 92% of Fortune 500 companies using its products. Managers tend to incentivize activity metrics and measure inputs versus outputs,” she adds. And we’re at risk of being burned out.”

IT 141

IT Consulting ROI Cost-Benefit 141

CIO Business Intelligence

NOVEMBER 18, 2024

As the study’s authors explain, these results underline a clear trend toward more personalized services, data-driven decision-making, and agile processes. According to the study, the biggest focus in the next three years will be on AI-supported data analysis, followed by the use of gen AI for internal use.

Digital Transformation 141

Digital Transformation Consulting Cost-Benefit Marketing 141

O'Reilly on Data

JUNE 15, 2023

Should we risk loss of control of our civilization?” All of these efforts reflect the general consensus that regulations should address issues like data privacy and ownership, bias and fairness, transparency, accountability, and standards. The companies are collecting massive amounts of data on how people use these systems.

Metrics 360

Metrics Reporting Measurement Finance 360

CIO Business Intelligence

NOVEMBER 6, 2024

This award-winning access management project uses automation to streamline access requests and curb security risks. Access management is crucial in the legal world because cases depend on financial records, medical records, emails, and other personal information.

Management 97

Management Risk Measurement Interactive 97

O'Reilly on Data

JUNE 15, 2023

“Mitigating the risk of extinction from A.I. should be a global priority alongside other societal-scale risks, such as pandemics and nuclear war,” according to a statement signed by more than 350 business and technical leaders, including the developers of today’s most important AI platforms.

Risk 326

Risk Optimization Modeling Reporting 326

CIO Business Intelligence

APRIL 30, 2025

And executives see a high potential in streamlining the sales funnel, real-time data analysis, personalized customer experience, employee onboarding, incident resolution, fraud detection, financial compliance, and supply chain optimization. Another area is democratizing data analysis and reporting.

IT 139

IT Sales Cost-Benefit Data-driven 139

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 105

IT Insurance Consulting Risk 105

CIO Business Intelligence

APRIL 8, 2025

Data is the foundation of innovation, agility and competitive advantage in todays digital economy. As technology and business leaders, your strategic initiatives, from AI-powered decision-making to predictive insights and personalized experiences, are all fueled by data. Data quality is no longer a back-office concern.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

O'Reilly on Data

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. But 18% already have applications in production. Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. Many AI adopters are still in the early stages.

Enterprise 342

Enterprise Testing Modeling Reporting 342