DataKitchen

DECEMBER 30, 2020

In June of 2020, Database Trends & Applications featured DataKitchen’s end-to-end DataOps platform for its ability to coordinate data teams, tools, and environments in the entire data analytics organization with features such as meta-orchestration , automated testing and monitoring , and continuous deployment : DataKitchen [link].

Testing 241

Testing Big Data Statistics Manufacturing 241

O'Reilly on Data

JUNE 19, 2019

Finally, modeling tools are improving, and automation is beginning to allow new users to tackle problems that used to be the province of experts. A look at the landscape of tools for building and deploying robust, production-ready machine learning models. Source: Ben Lorica. Model development. Why aren’t traditional software tools sufficient?

Modeling 257

Modeling Machine Learning Testing Metrics 257

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

SEPTEMBER 17, 2021

DataOps excels at the type of workflow automation that can coordinate interdependent domains, manage order-of-operations issues and handle inter-domain communication. It would be incredibly inefficient to build a data mesh without automation. DataOps is the factory that builds, maintains and monitors data mesh domains.

Testing 237

Testing Data Architecture Measurement Visualization 237

O'Reilly on Data

OCTOBER 13, 2020

In Bringing an AI Product to Market , we distinguished the debugging phase of product development from pre-deployment evaluation and testing. We define debugging as the process of using logging and monitoring tools to detect and resolve the inevitable problems that show up in a production environment.

Management 314

Management Machine Learning Metrics Modeling 314

AWS Big Data

DECEMBER 5, 2024

This post was written by Eunice Aguilar and Francisco Rodera from REA Group. Enterprises that need to share and access large amounts of data across multiple domains and services need to build a cloud infrastructure that scales as need changes. Hydro uses provisioned MSK clusters in development and production environments.

Metrics 90

Metrics Dashboards Testing Optimization 90

O'Reilly on Data

OCTOBER 11, 2022

There seems to be broad agreement that hyperautomation is the combination of Robotic Process Automation with AI. Using AI to discover tasks that can be automated also comes up frequently. It’s also hard to argue against the idea that we’ll see more automation in the future than we see now.

Data Integration 353

Data Integration Insurance Dashboards Data-driven 353

CIO Business Intelligence

JANUARY 14, 2025

For CIOs leading enterprise transformations, portfolio health isnt just an operational indicator its a real-time pulse on time-to-market and resilience in a digital-first economy. Understanding and tracking the right software delivery metrics is essential to inform strategic decisions that drive continuous improvement.

Enterprise 119

Enterprise Technology Metrics Measurement 119

DataKitchen

SEPTEMBER 20, 2021

An essential part of the DataOps methodology is Agile Development , which breaks development into incremental steps. DataOps can and should be implemented in small steps that complement and build upon existing workflows and data pipelines. Rapid and repeated development iterations minimize wasted effort and non-value-add activities.

Testing 246

Testing Metrics Measurement Dashboards 246

DataKitchen

MAY 10, 2021

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts.

Testing 214

Testing Manufacturing Data Quality Statistics 214

DataKitchen

AUGUST 13, 2021

A drug company tests 50,000 molecules and spends a billion dollars or more to find a single safe and effective medicine that addresses a substantial market. DataOps automation provides a way to boost innovation and improve collaboration related to data in pharmaceutical research and development (R&D).

Testing 246

Testing Dashboards Marketing Measurement 246

DataKitchen

NOVEMBER 29, 2021

From our unique vantage point in the evolution toward DataOps automation, we publish an annual prediction of trends that most deeply impact the DataOps enterprise software industry as a whole. In 2022, data organizations will institute robust automated processes around their AI systems to make them more accountable to stakeholders.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

CIO Business Intelligence

DECEMBER 11, 2024

By modern, I refer to an engineering-driven methodology that fully capitalizes on automation and software engineering best practices. However, from a companys existential perspective, theres an even more fitting analogy. We are all familiar with the theory of evolution, where the Earth began as a rocky planet and eventually teemed with life.

Management 111

Management Data Governance Data Science Reporting 111

O'Reilly on Data

OCTOBER 19, 2021

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments.

IT 364

IT Testing Experimentation Software 364

CIO Business Intelligence

NOVEMBER 5, 2024

Once synonymous with a simple plastic credit card to a company at the forefront of digital payments, we’ve consistently pushed the boundaries of innovation while respecting tradition and our relationships with our merchants, banks, and customers. We live in an age of miracles.

B2B 132

B2B Machine Learning Technology Marketing 132

CIO Business Intelligence

MARCH 19, 2025

There are also pure-play agentic AI platform providers such as CrewAI and intelligent automation providers like UiPath. There are also pure-play agentic AI platform providers such as CrewAI and intelligent automation providers like UiPath. The next evolution of AI has arrived, and its agentic. And thats just the beginning.

Software 143

Software Risk Enterprise Cost-Benefit 143

CIO Business Intelligence

DECEMBER 18, 2024

In one example, BNY Mellon is deploying NVIDIAs DGX SuperPOD AI supercomputer to enable AI-enabled applications, including deposit forecasting, payment automation, predictive trade analytics, and end-of-day cash balances.

Forecasting 105

Forecasting Predictive Analytics Risk Finance 105

DataKitchen

APRIL 26, 2021

GSK had been pursuing DataOps capabilities such as automation, containerization, automated testing and monitoring, and reusability, for several years. Workiva also prioritized improving the data lifecycle of machine learning models, which otherwise can be very time consuming for the team to monitor and deploy.

Measurement 246

Measurement Metrics Data-driven Dashboards 246

CIO Business Intelligence

APRIL 8, 2025

As data-centric AI, automated metadata management and privacy-aware data sharing mature, the opportunity to embed data quality into the enterprises core has never been more significant. Data is the foundation of innovation, agility and competitive advantage in todays digital economy. 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

JUNE 15, 2023

Should we automate away all the jobs, including the fulfilling ones? Most notably, The Future of Life Institute published an open letter calling for an immediate pause in advanced AI research , asking: “Should we let machines flood our information channels with propaganda and untruth? Should we risk loss of control of our civilization?”

Metrics 360

Metrics Reporting Measurement Finance 360

DataKitchen

JANUARY 3, 2022

Instead of throwing people and budgets at problems, DataOps offers a way to utilize automation to systematize analytics workflows. Instead of throwing people and budgets at problems, DataOps offers a way to utilize automation to systematize analytics workflows. In business analytics, fire-fighting and stress are common.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Rocket-Powered Data Science

JUNE 17, 2022

One of the first major attractions for me to attend this event is found in the primary descriptor of the Splunk Platform — it is appropriately called the Splunk Observability Cloud, which includes an impressive suite of Observability and Monitoring products and services. And the goodness doesn’t stop there.” is here, now!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

AWS Big Data

NOVEMBER 19, 2024

These organizations often maintain multiple AWS accounts for development, testing, and production stages, leading to increased complexity and cost. This micro environment is particularly well-suited for development, testing, or small production workloads where resource optimization and cost-efficiency are primary concerns.

Metadata 111

Metadata Cost-Benefit Metrics Optimization 111

DataKitchen

JANUARY 25, 2021

DataOps uses automation to create unprecedented visibility into data operations. Every operation, every step, and every transaction in the data pipeline is tested and verified. Every operation, every step, and every transaction in the data pipeline is tested and verified. The Pulse Report. Upcoming Data Sources.

Reporting 243

Reporting Testing Enterprise Analytics 243

CIO Business Intelligence

DECEMBER 30, 2024

Generative AI has seen faster and more widespread adoption than any other technology today, with many companies already seeing ROI and scaling up use cases into wide adoption. Vendors are adding gen AI across the board to enterprise software products, and AI developers havent been idle this year either.

ROI 141

ROI Software Modeling Interactive 141

DataKitchen

NOVEMBER 20, 2021

A DataOps Engineer can make test data available on demand. The DataOps Engineer can automate the creation of artifacts related to data structures, such as change logs that are automatically updated. We have automated testing and a system for exception reporting, where tests identify issues that need to be addressed.

Testing 246

Testing Machine Learning Data Warehouse Analytics 246

DataKitchen

NOVEMBER 18, 2021

For several years now, the elephant in the room has been that data and analytics projects are failing. Gartner estimated that 85% of big data projects fail. In addition, only one-third of companies have an established CDO role, and the average tenure of the CDO is only 2.5 Are they thriving or feeling the impact of failed projects?

Testing 246

Testing Data Governance Measurement Software 246

O'Reilly on Data

APRIL 2, 2019

A few years ago, we started publishing articles (see “Related resources” at the end of this post) on the challenges facing data teams as they start taking on more machine learning (ML) projects. At that time, there weren’t any popular tools aimed at solving the problems facing teams tasked with putting machine learning into practice.

Machine Learning 271

Machine Learning Modeling Data Science Software 271

DataKitchen

SEPTEMBER 21, 2023

’ It’s not just about playing detective to discover where things went wrong; it’s about proactively monitoring your entire data journey to ensure everything goes right with your data. .’ Complaints from dissatisfied customers and apathetic data providers only add to the mounting stress. What is Data in Place?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

datapine

MARCH 25, 2020

While every manager seeks how to increase productivity and decrease business costs, some invaluable processes can push towards sustainable business development – automated reporting and systems are the answer you’ve been looking for. Your Chance: Want to test a professional reporting automation software?

Reporting 209

Reporting Dashboards Manufacturing Visualization 209

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Data exploded and became big. We all gained access to the cloud. 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.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

AWS Big Data

NOVEMBER 22, 2024

Now, with support for dbt Cloud, you can access a managed, cloud-based environment that automates and enhances your data transformation workflows. Now, with support for dbt Cloud, you can access a managed, cloud-based environment that automates and enhances your data transformation workflows.

Data Lake 95

Data Lake Data Warehouse Cost-Benefit Data Transformation 95

CIO Business Intelligence

NOVEMBER 25, 2024

It’s an iterative process that involves regular monitoring, testing, and refining to make sure the AI is always working with the best possible data. We emphasize automation and streamlined data processes to minimize manual intervention. AI works best as a tool that amplifies human capabilities, not as a replacement.

Data Quality 99

Data Quality ROI Interactive Modeling 99

CIO Business Intelligence

DECEMBER 18, 2024

This year saw emerging risks posed by AI , disastrous outages like the CrowdStrike incident , and surmounting software supply chain frailties , as well as the risk of cyberattacks and quantum computing breaking todays most advanced encryption algorithms. In todays uncertain climate, all businesses, regardless of size, are prone to disruption.

Risk 105

Risk Risk Management Cost-Benefit Measurement 105

DataKitchen

AUGUST 19, 2021

Data mesh and DataOps provide the organization, enterprise architecture, and workflow automation that together enable a relatively small data team to address the analytics needs of hundreds of active business users. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed.

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

DataKitchen

OCTOBER 5, 2021

Figure 2: Data operations can be conceptualized as a series of automated factory assembly lines. A DataOps Engineer transforms the picture above to the automated factory below (figure 2). A DataOps Engineer transforms the picture above to the automated factory below (figure 2). Clear measurement and monitoring of results.

Testing 152

Testing Dashboards Measurement Experimentation 152