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

JANUARY 30, 2025

Thats why we need mechanisms like the AI Pact that acts as a regulatory sandbox: a test bed of how the law works. For example, LLMs in the enterprise are modified through training and fine-tuning, and CIOs will have to make sure they always remain compliant both with respect to what the vendor provides and to their customers or users.

Enterprise 128

Enterprise Risk Reporting Measurement 128

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Testing and Data Observability. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Testing and Data Observability. DataOps is a hot topic in 2021.

Testing 300

Testing Machine Learning Consulting Data Science 300

CIO Business Intelligence

NOVEMBER 22, 2024

It’s a position many CIOs find themselves in, as Guan noted that, according to an Accenture survey, fewer than 10% of enterprises have gen AI models in production. “What’s Next for GenAI in Business” panel at last week’s Big.AI@MIT It’s time for them to actually relook at their existing enterprise architecture for data and AI,” Guan said.

Unstructured Data 136

Unstructured Data Testing Modeling Enterprise 136

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.

ROI 127

ROI IT Experimentation Risk 127

O'Reilly on Data

APRIL 25, 2023

But what’s also clear is that the process of programming doesn’t become “ChatGPT, please build me an enterprise application to sell shoes.” In this post, Fowler describes the process Xu Hao (Thoughtworks’ Head of Technology for China) used to build part of an enterprise application with ChatGPT. That excitement is merited.

Testing 369

Testing Software Strategy Enterprise 369

CIO Business Intelligence

MARCH 25, 2025

Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. What CIOs can do: To make transitions to new AI capabilities less costly, invest in regression testing and change management practices around AI-enabled large-scale workflows.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

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

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

NOVEMBER 19, 2024

Development teams starting small and building up, learning, testing and figuring out the realities from the hype will be the ones to succeed. In our real-world case study, we needed a system that would create test data. This data would be utilized for different types of application testing.

Testing 135

Testing Cost-Benefit Interactive ROI 135

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

DataKitchen

NOVEMBER 29, 2021

DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in process-driven innovation. Model developers will test for AI bias as part of their pre-deployment testing. Quality test suites will enforce “equity,” like any other performance metric.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

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

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

As enterprises seek to automate aspects of decision-making processes using AI, it is essential that they have confidence in the data upon which AI depends. To improve data reliability, enterprises were largely dependent on data-quality tools that required manual effort by data engineers, data architects, data scientists and data analysts.

Data Quality 130

Data Quality Dashboards Data-driven Software 130

CIO Business Intelligence

NOVEMBER 28, 2024

Uber no longer offers just rides and deliveries: It’s created a new division hiring out gig workers to help enterprises with some of their AI model development work.

Manufacturing 121

Manufacturing Data-driven Marketing Testing 121

CIO Business Intelligence

JULY 22, 2024

By analyzing problem reports and test failures, AI can identify patterns and underlying issues that human operators might miss. Enterprises should use ethical frameworks to ensure that AI applications undergo rigorous testing and validation before being deployed in order to safeguard patient safety and data privacy.

Enterprise 126

Enterprise Testing Predictive Analytics Metrics 126

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.

ROI 141

ROI Software Modeling Interactive 141

O'Reilly on Data

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. An Overarching Concern: Correctness and Testing. Why did something break?

IT 364

IT Testing Experimentation Software 364

CIO Business Intelligence

SEPTEMBER 26, 2024

Looking beyond existing infrastructures For a start, enterprises can leverage new technologies purpose-built for GenAI. This layer serves as the foundation for enterprises to elevate their GenAI strategy. They help companies deploy the tool with ease, reducing the time spent on designing, planning, and testing digital assistants.

Enterprise 130

Enterprise Data-driven Risk Testing 130

CIO Business Intelligence

FEBRUARY 4, 2025

And we gave each silo its own system of record to optimize how each group works, but also complicates any future for connecting the enterprise. A new generation of digital-first companies emerged that reimagined operations, enterprise architecture, and work for what was becoming a digital-first world. And its testing us all over again.

Digital Transformation 144

Digital Transformation Optimization Sales Enterprise 144

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.

ROI 127

ROI Data-driven Enterprise Experimentation 127

CIO Business Intelligence

JUNE 18, 2024

Enterprise resource planning (ERP) is ripe for a major makeover thanks to generative AI, as some experts see the tandem as a perfect pairing that could lead to higher profits at enterprises that combine them. Now they merely review AI content and can get back to more strategic tasks,” he says.

Enterprise 134

Enterprise Forecasting Unstructured Data Reporting 134

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

DECEMBER 3, 2024

CIOs and other executives identified familiar IT roles that will need to evolve to stay relevant, including traditional software development, network and database management, and application testing. In software development today, automated testing is already well established and accelerating.

IT 128

IT Testing Software Data-driven 128

O'Reilly on Data

MAY 14, 2020

However, it may not be easy to access or contextualize this data, especially in enterprises. Finally, integrating AI products into business tech stacks (especially in enterprises) is nontrivial. The number of projects that actually add value (especially in an enterprise context) is probably even lower.

Management 364

Management Experimentation B2B Machine Learning 364

DataKitchen

JANUARY 25, 2022

Large enterprises integrate hundreds or thousands of asynchronous data sources into a web of pipelines that flow into visualizations and purpose-built databases that support self-service analysis. The sales team at the consulting firm proposed that a bigger budget was needed to keep the data factory churning out enterprise-critical analytics.

Consulting 244

Consulting Testing Data Lake Data Quality 244

CIO Business Intelligence

FEBRUARY 1, 2024

The other side of the cost/benefit equation — what the software will cost the organization, and not just sticker price — may not be as captivating when it comes to achieving approval for a software purchase, but it’s just as vital in determining the expected return on any enterprise software investment.

Software 131

Software Enterprise Cost-Benefit ROI 131

Cloudera

NOVEMBER 13, 2024

Large Language Models (LLMs) will be at the core of many groundbreaking AI solutions for enterprise organizations. Here are just a few examples of the benefits of using LLMs in the enterprise for both internal and external use cases: Optimize Costs. Build and test training and inference prompts.

Cost-Benefit 87

Cost-Benefit Data Processing Machine Learning Testing 87

CIO Business Intelligence

APRIL 11, 2024

In a cloud market dominated by three vendors, once cloud-denier Oracle is making a push for enterprise share gains, announcing expanded offerings and customer wins across the globe, including Japan , Mexico , and the Middle East. Oracle is helped by the fact that it has two offerings for enterprise applications, says Thompson.

Enterprise 124

Enterprise IT Data Processing Strategy 124

O'Reilly on Data

JUNE 18, 2024

AI is too often seen as a “first world” enterprise of, by, and for the wealthy. It’s important to test every stage of this pipeline carefully: translation software, text-to-speech software, relevance scoring, document pruning, and the language models themselves: can another model do a better job? Results need to pass human review.

Testing 318

Testing Software Modeling Measurement 318

CIO Business Intelligence

APRIL 17, 2024

But what we’re learning from public announcements like these might just scratch the surface of gen AI use cases for the enterprise. Helping software developers write and test code Similarly in tech, companies are currently open about some of their use cases, but protective of others. The second is the tools go beyond coding assistance.

Enterprise 129

Enterprise Testing Digital Transformation Software 129

CIO Business Intelligence

APRIL 8, 2025

Rule 1: Start with an acceptable risk appetite level Once a CIO understands their organizations risk appetite, everything else strategy, innovation, technology selection can align smoothly, says Paola Saibene, principal consultant at enterprise advisory firm Resultant. Cybersecurity must be an all-hands-on-deck endeavor.

Risk Management 78

Risk Management Risk Management Business Objectives 78

DataKitchen

JANUARY 20, 2021

As DataOps activity takes root within an enterprise, managers face the question of whether to build centralized or decentralized DataOps capabilities. Centralizing analytics helps the organization standardize enterprise-wide measurements and metrics. Develop/execute regression testing . Agile ticketing/Kanban tools.

Metrics 243

Metrics Experimentation Measurement Testing 243

Rocket-Powered Data Science

FEBRUARY 15, 2023

These rules are not necessarily “Rocket Science” (despite the name of this blog site), but they are common business sense for most business-disruptive technology implementations in enterprises. Keep it agile, with short design, develop, test, release, and feedback cycles: keep it lean, and build on incremental changes.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

DataKitchen

SEPTEMBER 17, 2021

A data mesh implemented on a DataOps process hub, like the DataKitchen Platform, can avoid the bottlenecks characteristic of large, monolithic enterprise data architectures. Most enterprises rush to create analytics before considering the workflows that will improve and monitor analytics throughout their deployment lifecycle.

Testing 237

Testing Data Architecture Measurement Visualization 237

David Menninger's Analyst Perspectives

SEPTEMBER 24, 2024

As I’ve written recently , artificial intelligence governance is a concern for many enterprises. It can subject an enterprise to fines or other legal consequences, disrupt operations and damage an enterprise’s reputation. Red-teaming is a term used to describe human testing of models for vulnerabilities.

Testing 173

Testing Modeling Enterprise Risk 173

CIO Business Intelligence

MARCH 5, 2025

The next thing is to make sure they have an objective way of testing the outcome and measuring success. Large software vendors are used to solving the integration problems that enterprises deal with on a daily basis, says Lee McClendon, chief digital and technology officer at software testing company Tricentis.

Testing 99

Testing Measurement Technology Experimentation 99