O'Reilly on Data

OCTOBER 17, 2023

This definition is essentially interactive. This is probably the definition that Agarwal has in mind. Designing and writing software systems that generate prompts automatically. This definition isn’t interactive; it’s automating a task to make it easier for others to do. What about the first, interactive definition?

Interactive 342

Interactive Software Testing IT 342

DataKitchen

FEBRUARY 20, 2025

Open-Source, Generative Data Quality Software. Enhanced Testing & Profiling Copy & Move Tests with Ease The Test Definitions page now supports seamless test migration between test suites. Announcing DataOps Data Quality TestGen 3.0:

Data Quality 187

Data Quality Scorecard Testing Dashboards 187

CIO Business Intelligence

NOVEMBER 5, 2024

The move relaxes Meta’s acceptable use policy restricting what others can do with the large language models it develops, and brings Llama ever so slightly closer to the generally accepted definition of open-source AI.

Modeling 126

Modeling Enterprise Technology Publishing 126

O'Reilly on Data

DECEMBER 10, 2024

Generative AI has proven useful for generating code but hasnt (yet) made significant inroads into software design. A model specialized for software design would be worth having. That definition is applicable to any discipline, including functional programming and (of course) architecture.

Testing 260

Testing Modeling Software IT 260

David Menninger's Analyst Perspectives

MAY 21, 2025

Software providers promise autonomous digital processes, or agents, that can run pre-meeting research, draft follow-up notes and perhaps even advance a deal while you sleep. More often, the two parties never reach a shared definition of value. Today the marketing phrase and technological direction is agentic AI.

Sales 130

Sales Measurement Data-driven Dashboards 130

CIO Business Intelligence

DECEMBER 11, 2024

Weve developed our software such that the LLM open source or proprietary can be swapped in or out via configuration. But overall, theres definitely a cost savings from not having to pay OpenAIs API charges. Why the open source definition matters to business Metas Llama comes up first in any conversation about open source gen AI.

Cost-Benefit 115

Cost-Benefit Modeling Marketing Sales 115

CIO Business Intelligence

OCTOBER 5, 2023

Software development is a challenging discipline built on millions of parameters, variables, libraries, and more that all must be exactly right. Opinionated programmers, demanding stakeholders, miserly accountants, and meeting-happy managers mix in a political layer that makes a miracle of any software development work happening at all.

Software 134

Software Testing Cost-Benefit Management 134

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. All ML projects are software projects.

IT 364

IT Testing Experimentation Software 364

David Menninger's Analyst Perspectives

MAY 22, 2025

Knowledge graphs depend on multiple elements, including ontologies and semantic models that provide formally agreed definitions and meaning related to concepts, terms and relationships. Like the adoption of data as a product, the incorporation of knowledge graph capabilities in data intelligence products remains nascent.

Metadata 130

Metadata Enterprise Data-driven Publishing 130

CIO Business Intelligence

DECEMBER 20, 2024

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). TOGAF is an enterprise architecture methodology that offers a high-level framework for enterprise software development.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

Smart Data Collective

JANUARY 30, 2023

AI technology is becoming increasingly important for software developers. We talked about some of the ways software developers can create successful AI applications. However it is equally important to use existing AI tools strategically to improve the quality of the software app lications that you are trying to design.

Software 124

Software Strategy Testing Advertising 124

CIO Business Intelligence

JANUARY 14, 2025

Understanding and tracking the right software delivery metrics is essential to inform strategic decisions that drive continuous improvement. Wikipedia defines a software architect as a software expert who makes high-level design choices and dictates technical standards, including software coding standards, tools, and platforms.

Enterprise 119

Enterprise Technology Metrics Measurement 119

Smart Data Collective

SEPTEMBER 21, 2022

However, large companies and enterprises must be especially careful when outsourcing software development services to handle their AI projects. With this in mind, let’s take a look at some key criteria when hiring a custom software development agency to help you make your AI startup succeed. Rates & Business Goals.

Software 129

Software Cost-Benefit Metrics Insurance 129

David Menninger's Analyst Perspectives

MAY 14, 2025

As my colleague David Menninger recently explained , the 2024 ISG AI Platforms Buyers Guide research indicated that AI platform software providers have been slow in incorporating AI governance capabilities. One reason for this is a relative paucity of functionality. AI and data governance are symbiotic.

Data Governance 130

Data Governance Data Quality Data-driven Metadata 130

David Menninger's Analyst Perspectives

MAY 15, 2025

Conversational automation is one of those software segments that means something different depending on who you are or your role in an organization. This broad definition hits the mark, I think, because it identifies the core functions without putting too tight a straitjacket on the technology itself, which is developing very quickly.

Interactive 130

Interactive Software Cost-Benefit Marketing 130

O'Reilly on Data

APRIL 25, 2023

Writing these prompts requires significant expertise, both in the use of ChatGPT and in software development. It is impossible to read Fowler’s article and conclude that writing any industrial-strength software with ChatGPT is simple. But using ChatGPT effectively is definitely a learned skill.

Testing 372

Testing Software Strategy Enterprise 372

David Menninger's Analyst Perspectives

JANUARY 11, 2022

And as the organization increases its data sources and adds more systems and custom applications, it becomes challenging to manage the data consistently and keep data definitions up to date.

Software 231

Software Enterprise Management Analytics 231

David Menninger's Analyst Perspectives

MAY 20, 2025

Domo is best known as a business intelligence (BI) and analytics software provider, thanks to its functionality for visualization, reporting, data science and embedded analytics. Agentic AI enables the delivery of automated actions driven by a combination of predictive and generative AI models as well as predefined rules and heuristics.

Metrics 130

Metrics Data Governance Unstructured Data Data-driven 130

O'Reilly on Data

APRIL 9, 2024

Generative AI will be used to create more and more software; AI makes mistakes and it’s difficult to foresee a future in which it doesn’t; therefore, if we want software that works, Quality Assurance teams will rise in importance. What is the software really supposed to do? All Hail the QA Engineer.” But what about AI?

Testing 306

Testing Software Sales Marketing 306

CIO Business Intelligence

JANUARY 18, 2024

The desired outcome in 5 steps That lesson led to the development of Children First Software. The free software allows orphanages to create records on birth, family, health, special needs, and education, as well as fingerprints and DNA. These essential records trigger a five-step process to match the child with the right family.

Digital Transformation 124

Digital Transformation Software Technology Cost-Benefit 124

datapine

DECEMBER 11, 2019

“Software as a service” (SaaS) is becoming an increasingly viable choice for organizations looking for the accessibility and versatility of software solutions and online data analysis tools without the need to rely on installing and running applications on their own computer systems and data centers. SaaS: The Key Characteristics.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

DataKitchen

MARCH 12, 2024

Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software Lowering Serious Production Errors Key Benefit Errors in production can come from many sources – poor data, problems in the production process, being late, or infrastructure problems. That was amazing for the team.” Databricks was all green.

Metrics 118

Metrics Software Cost-Benefit Testing 118

CIO Business Intelligence

OCTOBER 24, 2024

AI-driven software development hits snags Gen AI is becoming a pervasive force in all phases of software delivery. Forrester noted that nearly every software tooling vendor incorporated a gen AI copilot capability into their tools in 2024, or announced plans to do so.

ROI 127

ROI Data-driven Enterprise Experimentation 127

CIO Business Intelligence

DECEMBER 20, 2023

At the same time, developers are scarce, and the demand for new software is high. Gartner’s surveys and data from client inquiries confirm that developer productivity remains a top priority for software engineering leaders.” Organizations need to get the most out of the limited number of developers they’ve got,” he says.

Measurement 124

Measurement Software IT Metrics 124

O'Reilly on Data

SEPTEMBER 8, 2020

That cyclic process, which is about collaboration between software developers and customers, may be exactly what we need to get beyond the “AI as Oracle” interaction. It is definitely enlisting the machine as a collaborator, rather than as a surrogate. Is this pair programming with a machine?

Experimentation 363

Experimentation Interactive Modeling Software 363

CIO Business Intelligence

MAY 20, 2025

Supply chain management (SCM) is a critical focus for companies that sell products, services, hardware, and software. It works across industries using common definitions that apply to any supply chain process. That includes all material and services needed to complete transactions, including supplies, parts, software, and equipment.

Modeling 104

Modeling Management Metrics Measurement 104

O'Reilly on Data

JANUARY 17, 2023

What would you say is the job of a software developer? A layperson, an entry-level developer, or even someone who hires developers will tell you that job is to … well … write software. They’d say that the job involves writing some software, sure. But deep down it’s about the purpose of software. Pretty simple.

Machine Learning 363

Machine Learning Predictive Modeling Software Modeling 363

DataKitchen

APRIL 13, 2021

Because it is such a new category, both overly narrow and overly broad definitions of DataOps abound. ICEDQ — Software used to automate the testing of ETL/Data Warehouse and Data Migration. Terraform – Open-source infrastructure as code software tool that provides a consistent CLI workflow to manage hundreds of cloud services. .

Testing 304

Testing Machine Learning Consulting Data Science 304

CIO Business Intelligence

APRIL 8, 2025

Fragmented systems, inconsistent definitions, legacy infrastructure and manual workarounds introduce critical risks. Fragmented systems, inconsistent definitions, outdated architecture and manual processes contribute to a silent erosion of trust in data. Inconsistent business definitions are equally problematic.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

O'Reilly on Data

JANUARY 9, 2024

Because we need a reliable statement of exactly what the software does. If you don’t know exactly what the software does—or if it might do something different the next time you compile it—you can’t build a business around it. Why do we need the abstraction layer to be deterministic? Adding features to go from version 1.0

Modeling 349

Modeling Software Testing Optimization 349

O'Reilly on Data

JULY 11, 2023

There’s a lot of angst about software developers “losing their jobs” to AI, being replaced by a more intelligent version of ChatGPT, GitHub’s Copilot, Google’s Codey, or something similar. What does this mean for people who earn their living from writing software? But what does this mean in practice? It’s a lengthy list.

Testing 271

Testing Software Visualization Interactive 271

O'Reilly on Data

MAY 14, 2020

This role includes everything a traditional PM does, but also requires an operational understanding of machine learning software development, along with a realistic view of its capabilities and limitations. In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager.

Management 364

Management Experimentation B2B Machine Learning 364

David Menninger's Analyst Perspectives

MAY 15, 2025

While there is no definitive date set for Q-Day, we are approaching a critical juncture where traditional cryptographic techniques may no longer suffice to protect sensitive data, digital communications and transactions. This inventory serves as a critical first step to understand vulnerability exposure and prioritize remediation efforts.

Enterprise 130

Enterprise Risk Measurement Risk Management 130

O'Reilly on Data

OCTOBER 13, 2020

In traditional software engineering, precedent has been established for the transition of responsibility from development teams to maintenance, user operations, and site reliability teams. This distinction assumes a slightly different definition of debugging than is often used in software development. Monitoring.

Management 319

Management Machine Learning Metrics Modeling 319

AWS Big Data

NOVEMBER 7, 2024

Generative SQL uses query history for better accuracy, and you can further improve accuracy through custom context, such as table descriptions, column descriptions, foreign key and primary key definitions, and sample queries. Let’s ask Amazon Q to “Show me the unconverted mana cost and name for all the cards created by Rob Alexander.”

Metadata 105

Metadata Sales Data Warehouse Optimization 105

CIO Business Intelligence

NOVEMBER 15, 2024

The board, formed in April, is made up of major software and hardware companies, critical infrastructure operators, public officials, the civil rights community, and academia, according to the release. There is definitely a lot of demand for that.”

Risk 119

Risk Risk Management Strategy Reporting 119

datapine

MAY 20, 2020

CRM software will help you do just that. Try our professional dashboard software for 14 days, completely free! At its core, CRM dashboard software is a smart vessel for data analytics and business intelligence – digital innovation that hosts a wealth of insightful CRM reports. Let’s begin. What Is A CRM Dashboard?

Dashboards 265

Dashboards Reporting KPI Visualization 265