CIO Business Intelligence

JANUARY 14, 2025

Do we have the data, talent, and governance in place to succeed beyond the sandbox? Its typical for organizations to test out an AI use case, launching a proof of concept and pilot to determine whether theyre placing a good bet. These, of course, tend to be in a sandbox environment with curated data and a crackerjack team.

Strategy 141

Strategy ROI Experimentation Risk 141

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. 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.

ROI 127

ROI IT Experimentation Risk 127

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

JANUARY 7, 2025

Organizations will always be transforming , whether driven by growth opportunities, a pandemic forcing remote work, a recession prioritizing automation efficiencies, and now how agentic AI is transforming the future of work.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143

CIO Business Intelligence

JANUARY 14, 2025

By articulating fitness functions automated tests tied to specific quality attributes like reliability, security or performance teams can visualize and measure system qualities that align with business goals. Technical foundation Conversation starter : Are we maintaining reliable roads and utilities, or are we risking gridlock?

Enterprise 120

Enterprise Technology Metrics Measurement 120

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 128

IT Sales Cost-Benefit Data-driven 128

CIO Business Intelligence

OCTOBER 24, 2024

Noting that companies pursued bold experiments in 2024 driven by generative AI and other emerging technologies, the research and advisory firm predicts a pivot to realizing value. Forrester predicts a reset is looming despite the enthusiasm for AI-driven transformations.

ROI 127

ROI Data-driven Enterprise Experimentation 127

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

Smart Data Collective

JULY 27, 2022

Are you planning on running a startup that relies heavily on data analytics technology ? A report by Entrepreneur shows that companies that use big data have 8% higher profits. There are tons of great benefits of using big data to run your company. However, running a data-driven startup is not easy.

Data-driven 138

Data-driven Manufacturing Big Data Testing 138

CIO Business Intelligence

JANUARY 21, 2025

For CIOs and IT leaders, this means improved operational efficiency, data-driven decision making and accelerated innovation. The lack of a single approach to delivering changes increases the risk of introducing bugs or performance issues in production. Agentic AI promises to transform enterprise IT work.

Risk 98

Risk Data-driven Interactive Management 98

CIO Business Intelligence

MARCH 19, 2025

There are risks around hallucinations and bias, says Arnab Chakraborty, chief responsible AI officer at Accenture. Meanwhile, in December, OpenAIs new O3 model, an agentic model not yet available to the public, scored 72% on the same test. The data is kept in a private cloud for security, and the LLM is internally hosted as well.

Software 143

Software Risk Enterprise Cost-Benefit 143

O'Reilly on Data

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. Or are individuals adopting AI on their own, exposing the company to unknown risks and liabilities?

Enterprise 342

Enterprise Testing Modeling Reporting 342

Smart Data Collective

OCTOBER 5, 2021

There is no denying the fact that big data has become a critical asset to countless organizations all over the world. Many companies are storing data internally, which means that they have to be responsible for maintaining their own standards. Unfortunately, managing your own data server can be overwhelming.

Data-driven 135

Data-driven Management Big Data Software 135

Rocket-Powered Data Science

FEBRUARY 15, 2023

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. 3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? So what? (2)

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

Smart Data Collective

JANUARY 10, 2023

More small businesses are leveraging big data technology these days. One of the many reasons that they use big data is to improve their SEO. Data-driven SEO is going to be even more important as the economy continues to stagnate. Data-driven SEO will be one of the most important ways that they can achieve these goals.

Data-driven 126

Data-driven Data mining Big Data Optimization 126

Smart Data Collective

DECEMBER 17, 2020

Big data is disrupting the healthcare sector in incredible ways. The market for data solutions in healthcare is expected to be worth $67.8 While stories about the sudden growth of big data in healthcare make for great headlines, they don’t always delve into the details. EHR Solutions Are Predicated on Big Data Technology.

Data-driven 130

Data-driven Big Data Software Risk 130

Smart Data Collective

SEPTEMBER 19, 2021

Big data has become more important than ever in the realm of cybersecurity. You are going to have to know more about AI, data analytics and other big data tools if you want to be a cybersecurity professional. Big Data Skills Must Be Utilized in a Cybersecurity Role. Brilliant Growth and Wages.

Data-driven 140

Data-driven Big Data Marketing IoT 140

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

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 120

Risk Risk Management Management Enterprise 120

CIO Business Intelligence

APRIL 30, 2025

These IT pros can help navigate the process, which can take years navigating potential risks and ensuring a smooth transition. Organizations have accelerated cloud adoption now that AI tools are readily available, which has driven a demand for cloud architects to help manage cloud infrastructure.

Testing 109

Testing Cost-Benefit Optimization Software 109

DataKitchen

FEBRUARY 21, 2023

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Data team morale is consistent with DataKitchen’s own research. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

CIO Business Intelligence

OCTOBER 17, 2024

While tech debt refers to shortcuts taken in implementation that need to be addressed later, digital addiction results in the accumulation of poorly vetted, misused, or unnecessary technologies that generate costs and risks. million machines worldwide, serves as a stark reminder of these risks.

Risk 108

Risk Experimentation Testing Strategy 108

datapine

APRIL 15, 2020

Your Chance: Want to test an agile business intelligence solution? It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. Discover the available data sources.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

AWS Big Data

DECEMBER 23, 2024

Real-time data streaming and event processing are critical components of modern distributed systems architectures. Apache Kafka has emerged as a leading platform for building real-time data pipelines and enabling asynchronous communication between microservices and applications.

Data-driven 96

Data-driven Management Risk Big Data 96

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

JANUARY 21, 2025

Its promise of AI-driven features and enhanced capabilities sound easy to access, but is it so linear? The path may be a multi-step upgrade marathon Upgrading is a process that demands time, effort, testing, and yes, downtime. A few examples are AI vector search, secure data encoding and natural language processing.

Cost-Benefit 97

Cost-Benefit ROI Data-driven Risk 97

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. DataOps can and should be implemented in small steps that complement and build upon existing workflows and data pipelines. Figure 1: The four phases of Lean DataOps. production).

Testing 246

Testing Metrics Measurement Dashboards 246

CIO Business Intelligence

NOVEMBER 4, 2024

AI allows organizations to use growing data more effectively , a fact recognized by the entire leadership team. Langer believes CIOs should seize this opportunity to inform leadership about AI-driven possibilities. As a support technology, AI works on data that is dependable, proven, and secure,” says Langer.

Business Driver 111

Business Driver Advertising Data-driven Modeling 111

O'Reilly on Data

MARCH 24, 2020

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. Why is high-quality and accessible data foundational?

Machine Learning 364

Machine Learning Statistics Data Quality Data Collection 364

Corinium

JUNE 6, 2019

Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. Regulations and compliance requirements, especially around pricing, risk selection, etc.,

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses.

Risk 111

Risk Modeling IT Risk Management 111

CIO Business Intelligence

JANUARY 30, 2025

DeepSeeks advancements could lead to more accessible and affordable AI solutions, but they also require careful consideration of strategic, competitive, quality, and security factors, says Ritu Jyoti, group VP and GM, worldwide AI, automation, data, and analytics research with IDCs software market research and advisory practice.

Modeling 117

Modeling Data-driven Technology Strategy 117

CIO Business Intelligence

FEBRUARY 26, 2025

We actually started our AI journey using agents almost right out of the gate, says Gary Kotovets, chief data and analytics officer at Dun & Bradstreet. In addition, because they require access to multiple data sources, there are data integration hurdles and added complexities of ensuring security and compliance.

IT 141

IT Enterprise Interactive Data Quality 141

CIO Business Intelligence

FEBRUARY 20, 2025

However, this perception of resilience must be backed up by robust, tested strategies that can withstand real-world threats. Given the rapid evolution of cyber threats and continuous changes in corporate IT environments, failing to update and test resilience plans can leave businesses exposed when attacks or major outages occur.

IT 99

IT Testing Strategy Data Processing 99

CIO Business Intelligence

JUNE 21, 2023

At the same time, the threat landscape continues to evolve and cyber risk is escalating for all organizations. As cyber risk continues to escalate, CIOs and CISOs need to be just as nimble and methodical as their adversaries. Because industry tests often lack standardized measurement criteria, the results can vary wildly.

Testing 98

Testing Measurement ROI Risk 98

CIO Business Intelligence

AUGUST 20, 2024

They will be handing over customer data to AI companies that reserve the right to use it for their own purposes,” Fernandes says. The window treatment company, with 17 direct employees and franchises in 35 states, is now beta testing a small language model created with Revscale AI. And you select from this constellation of tools.”

Risk 131

Risk Cost-Benefit Insurance ROI 131

O'Reilly on Data

APRIL 22, 2020

There aren’t simple standards and tests for ethical behavior, nor are you as likely to be called into court for acting unethically. The European Union’s General Data Protection Regulation (GDPR), for instance, imposes fines of up to 2%–4% of global annual revenue. This could mean millions, if not billions, of lost revenue. Don’t do it.

Cost-Benefit 325

Cost-Benefit Finance Data-driven Strategy 325