DataKitchen

OCTOBER 5, 2021

DataOps enables: Rapid experimentation and innovation for the fastest delivery of new insights to customers. Instead of focusing on a narrowly defined task with minimal testing and feedback, DataOps focuses on adding value. Create tests. Test data automation – create test data for development on-demand.

Testing 157

Testing Dashboards Measurement Experimentation 157

CIO Business Intelligence

MARCH 10, 2022

Instead, it’s targeting test and development functions, with the goal of making it easier for enterprises to set up such environments whenever they need them, without having to leave costly excess mainframe capacity sitting idle the rest of the time.

Sales 123

Sales Testing Experimentation Data Processing 123

CIO Business Intelligence

JUNE 1, 2023

A report from Sitecore based on its AI & Composable Marketing Software Survey found that nearly 4 in 5 (78%) marketers believe that GAI will be instrumental in achieving the ideal customer experience (CX) not only through greater personalization but also through GAI’s ability to mine deep insights into individual customer needs and wants.

Marketing 92

Marketing B2B Experimentation Cost-Benefit 92

CIO Business Intelligence

AUGUST 4, 2023

WABTEC products and locomotives have numerous embedded digital pieces – both hardware and software, which allow us to track performance, and assess their reliability and warranty for the customers. Our products are sometimes tested for a year before being launched in the field. What does sustainability look like for WABTEC ?

IoT 86

IoT Manufacturing Experimentation Digital Transformation 86

CIO Business Intelligence

MARCH 7, 2023

Something that produces libraries and software is no different than searching GitHub,” he says. “We Oliver Wittmaier, CIO and product owner at DB SYSTEL GmbH DB SYSTEL GmbH Content generation is also an area of particular interest to Michal Cenkl, director of innovation and experimentation at Mitre Corp. “I Mitre Corp.

Enterprise 113

Enterprise IT Experimentation Unstructured Data 113

CIO Business Intelligence

JUNE 28, 2023

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs. This allowed us to derive insights more easily.”

Digital Transformation 86

Digital Transformation Cost-Benefit Informatics Data mining 86

The Unofficial Google Data Science Blog

APRIL 23, 2024

To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. Our experimentation platform supports this kind of grouped-experiments analysis, which allows us to see rough summaries of our designed experiments without much work.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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). Why AI software development is different. This shift requires a fundamental change in your software engineering practice. It’s hard to predict how long an AI project will take.

Management 332

Management Machine Learning Experimentation Metrics 332

Smarten

MAY 17, 2023

Create a Sandbox Environment If you are in the business of technology, you probably have a robust sandbox environment in which you can use new tools and leverage opportunities with test data to understand the value of tools like Azure OpenAI, GPT 3.x

Digital Transformation 52

Digital Transformation Experimentation Risk Testing 52

Domino Data Lab

MAY 15, 2019

Unfortunately, a common challenge that many industry people face includes battling “ the model myth ,” or the perception that because their work includes code and data, their work “should” be treated like software engineering. These steps also reflect the experimental nature of ML product management.

Machine Learning 111

Machine Learning Management Experimentation Uncertainty 111

IBM Big Data Hub

DECEMBER 14, 2023

Platform engineering, internal development platform – Platform engineering is at the forefront of modern software development, driving innovation and collaboration across teams. The extension of the CIO office’s dedicated data center to the IBM public cloud allowed for experimentation and growth with zero risk.

Experimentation 71

Experimentation Testing Software Management 71

IBM Big Data Hub

NOVEMBER 3, 2023

Eileen Lowry, VP of Product Management for IBM Automation, Integration Software, touches on the innovation that IBM is doing with Apache Flink: “We realize investing in event-driven architecture projects can be a considerable commitment, but we also know how necessary they are for businesses to be competitive.

Cost-Benefit 78

Cost-Benefit Experimentation Testing Digital Transformation 78

AWS Big Data

NOVEMBER 2, 2023

This is a guest post co-written with Mukul Sharma, Software Development Engineer, and Ozcan IIikhan, Director of Engineering from GoDaddy. AWS benchmark The AWS team performed benchmark tests on Spark workloads with Graviton2 on EMR Serverless using the TPC-DS 3 TB scale performance benchmarks. Gather relevant metrics from the tests.

Cost-Benefit 85

Cost-Benefit Big Data Testing Optimization 85

Smarten

APRIL 18, 2023

While new medical techniques and tools can take time to refine and prove, doctors often leverage experimental techniques to save lives. It does not accommodate images and its security compliance has yet to be thoroughly tested. As these techniques are refined, they enter into the mainstream and become more common place.

Digital Transformation 52

Digital Transformation Experimentation ROI Technology 52

Octopai

MAY 2, 2022

Common elements of DataOps strategies include: Collaboration between data managers, developers and consumers A development environment conducive to experimentation Rapid deployment and iteration Automated testing Very low error rates. Issue detected? This means that more focused development can happen faster. .

Manufacturing 87

Manufacturing Testing Experimentation Data Quality 87

CIO Business Intelligence

AUGUST 17, 2023

We’re testing ChatGPT at an individual level,” he says. In general, we see a small number of organizations using generative AI based on a strategy or plan, shaped by clear policies, and a lot of grassroots experimentation, but that’s almost always happening in a strategy vacuum.” Medica’s O’Brien issues a caution as well.

Risk 91

Risk Cost-Benefit Strategy Experimentation 91

CIO Business Intelligence

JUNE 27, 2022

I had a chance to ask Cramer some questions about continuous shipment, software development, building a startup, and more. Cramer: I’ve always been a builder, and software was a really natural fit for me. Would you talk a bit about the performance product and tracing software performance? We rely heavily on automated testing.

Software 98

Software Experimentation Testing Marketing 98

AWS Big Data

MAY 2, 2023

Test the feature To test this feature, run the producer DAG. Removal of experimental Smart Sensors. Test the feature Upload the four sample text files from the local data folder to an S3 bucket data folder. Test your DAGs using the new Apache Airflow v2.4.3 Apache Airflow v2.4.3 Airflow v2.4.0 or v2.0.2,

Testing 97

Testing Experimentation Management Metadata 97

Depict Data Studio

JULY 13, 2021

In the science world, if you have a small group of people and do not find statistical significance, one thing you can do is test a much bigger group! Using scientific methods to test hypotheses (which are what statistics test) are what scientists do; delivering programming and tracking client progress is what nonprofit practitioners do.

Statistics 98

Statistics Testing Recreation/Entertainment Experimentation 98

Domino Data Lab

AUGUST 6, 2021

The process of doing data science is about learning from experimentation failures, but inadvertent errors can create enormous risks in model implementation. Outputs for a new problem might not be consistent with the model’s original intent for a different problem without careful research and testing. Model implementation.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

CIO Business Intelligence

OCTOBER 18, 2023

Financial security company Apex is employing Genpact’s riskCanvas software, which has been integrated with Amazon’s Bedrock gen AI technology, initially for document summarization but eventually it will be used to help prevent financial crimes, says Justin Morgan, Apex’s head of financial crimes compliance.

Risk 134

Risk Manufacturing Enterprise Technology 134

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. Fine motor skills: It’s conceivable for AGI software to pair with robotics hardware.

Cost-Benefit 88

Cost-Benefit Modeling Manufacturing Interactive 88

Domino Data Lab

AUGUST 6, 2021

Develop: includes accessing and preparing data and algorithms, researching and development of models and experimentation. During this part of development, data scientists begin creating models and conducting experiments to test their performance. The Deploy phase is where the tested model is transferred to a production environment.

Data Science 75

Data Science Testing Modeling Publishing 75

Domino Data Lab

APRIL 7, 2019

To build such systems, your software must understand the vocabulary, grammar and semantics of the text’s human language. We assume that you need to build production-grade software. It needs to know how sentences are composed – so that the period in “It’s $7.25 per hour” doesn’t start a new sentence.

Deep Learning 110

Deep Learning Machine Learning Experimentation Modeling 110

CIO Business Intelligence

JULY 31, 2023

As vendors add generative AI to their enterprise software offerings, and as employees test out the tech, CIOs must advise their colleagues on the pros and cons of gen AI’s use as well as the potential consequences of banning or limiting it.

Strategy 95

Strategy Risk Enterprise Risk Management 95

FineReport

DECEMBER 11, 2019

The big news is that we no longer need to be proficient in math or statistics, or even rely on expensive modeling software to analyze customers. Follow FineReport Reporting Software on Facebook to know more about data visualization! – Data Divination: Big Data Strategies. Data analysis is setting off a revolution.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

Cloudera

JANUARY 30, 2019

Data scientists require on-demand access to data, powerful processing infrastructure, and multiple tools and libraries for development and experimentation. Run experiments with historical reference for hyperparameter tuning, feature engineering, grid searches, A/B testing and more. Sound familiar?

Data Science 71

Data Science Machine Learning Experimentation Cost-Benefit 71

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 346

IT Testing Experimentation Software 346

AWS Big Data

JANUARY 9, 2024

you can build search query and result processing as a composition of modular processing steps, without complicating your application software. This functionality was initially released as experimental in OpenSearch Service version 2.4, With the general availability of search pipelines, starting in OpenSearch Service version 2.9,

Cost-Benefit 88

Cost-Benefit Visualization Modeling Machine Learning 88

Cloudera

AUGUST 2, 2018

Today, we are announcing Cloudera Data Warehouse – our battle-tested modern data warehousing solution – formerly known as Cloudera Analytic DB. Simply put, modern data warehousing enables our customers to confidently share petabytes of verified data across thousands of users while surpassing demands of SLAs and limited budgets.

Data Warehouse 51

Data Warehouse Insurance Experimentation Software 51

The Data Visualisation Catalogue

MARCH 18, 2019

If you’re familiar with CAD or any 3D drawing software, you’ll be aware of the ability to make flat shapes into 3D by ‘extruding’ them with a certain tool or menu option. One of the initial examples of a 3D Treemap I found came from the paper Visualization of Software and Systems as Support Mechanism for Integrated Software Project Control.

Visualization 47

Visualization Interactive Software Experimentation 47

Domino Data Lab

AUGUST 5, 2019

regulators and Volkswagen customers by implementing software specifically designed to cheat emissions tests.”. Also, data science work is experimental and probabilistic in nature. The Belmont principles are durable and “stress tested” as they have been around since the 70s. data munging, building models, etc.).

Data Science 93

Data Science Data-driven Modeling Machine Learning 93

Alation

SEPTEMBER 28, 2022

DataOps is a set of technologies, processes, and best practices that combine a process-focused perspective on data and the automation methods of the Agile software development methodology to improve speed and quality and foster a collaborative culture of rapid, continuous improvement in the data analytics field. What Is DataOps? Simplicity.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

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. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

Management 363

Management Experimentation B2B Machine Learning 363

Occam's Razor

JULY 6, 2016

Lab usability testing and online surveys both provide great strategies to obsess about user centric design. Testing Kills/Delays Good Ideas. A quick review of the even simpler approach by HTC to software (very close to pure Google, most default apps are Google) and pictures of the HTC 10 and I was sold. United Breaks Hearts.

Testing 86

Testing Marketing Experimentation Cost-Benefit 86

CIO Business Intelligence

MAY 1, 2024

Pilots can offer value beyond just experimentation, of course. McKinsey reports that industrial design teams using LLM-powered summaries of user research and AI-generated images for ideation and experimentation sometimes see a reduction upward of 70% in product development cycle times.

Cost-Benefit 122

Cost-Benefit Metrics Insurance Measurement 122

DataKitchen

APRIL 13, 2021

Testing and Data Observability. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Testing and Data Observability. Production Monitoring and Development Testing.

Testing 307

Testing Machine Learning Consulting Data Quality 307