CIO Business Intelligence

JUNE 14, 2023

Organization: AWS Price: US$300 How to prepare: Amazon offers free exam guides, sample questions, practice tests, and digital training. The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

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

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 92

Digital Transformation Cost-Benefit Informatics Data mining 92

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

Cloudera

OCTOBER 18, 2023

In fact, some of the insights presented in this blog have been assisted by the power of large language models (LLMs), highlighting the synergy between human expertise and AI-driven insights. Testing: Generative AI can be used to generate test cases automatically, reducing the time and effort required for developers to test their code.

Cost-Benefit 75

Cost-Benefit Testing Machine Learning Optimization 75

Dataiku

MARCH 25, 2024

When presented with a photograph of a scenic mountain landscape, an M-LLM might generate a captivating caption like, “A breathtaking view of snow-capped mountains against a clear blue sky.” In our tests, we observed significant progress in both VQA and image captioning tasks.

Visualization 132

Visualization Modeling Experimentation Testing 132

Corinium

JUNE 6, 2019

present a significant barrier to adoption of the latest and greatest approaches. Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments. Build multiple MVPs to test conceptually and learn from early user feedback.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Domino Data Lab

MAY 15, 2019

I was fortunate to see an early iteration of Pete Skomoroch ’s ML product management presentation in November 2018. Pete indicates, in both his November 2018 and Strata London talks, that ML requires a more experimental approach than traditional software engineering. more probabilistic rather than deterministic).

Machine Learning 111

Machine Learning Management Experimentation Uncertainty 111

AWS Big Data

NOVEMBER 2, 2023

The combination of EMR Serverless and Graviton2 presents an exciting opportunity to enhance the data processing capabilities and drive efficiency in our operations. 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. HCatalog 3.1.3

Cost-Benefit 85

Cost-Benefit Big Data Testing Optimization 85

CIO Business Intelligence

AUGUST 16, 2023

But today, Svevia is driving cross-sector digitization projects where new technology for increased safety for road workers and users is tested. Finally, there’s a presentation layer to reach the world outside Svevia in order to exchange data with customers. A third area to be optimized is the salting of roads during the winter.

Risk 87

Risk Cost-Benefit Digital Transformation Internet of Things 87

O'Reilly on Data

MARCH 31, 2020

In the best case scenario, the trained neural network accurately represents the underlying phenomenon of interest and produces the correct output even when presented with new input data the model didn’t see during training. This has serious implications for software testing, versioning, deployment, and other core development processes.

Management 332

Management Machine Learning Experimentation Metrics 332

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. Developers cannot introduce new knowledge bases for training, and the system does not cite its sources, so it is impossible to understanding the reliability of the data presented.

Digital Transformation 52

Digital Transformation Experimentation ROI Technology 52

CIO Business Intelligence

MAY 16, 2023

It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data.

Advertising 92

Advertising Recreation/Entertainment Experimentation Enterprise 92

Sisense

JANUARY 21, 2020

This is an example of Simpon’s paradox , a statistical phenomenon in which a trend that is present when data is put into groups reverses or disappears when the data is combined. As an example, I’ll present a case from The Book of Why by Judea Pearl. A new drug promising to reduce the risk of heart attack was tested with two groups.

Testing 104

Testing Risk Data-driven Statistics 104

FineReport

DECEMBER 11, 2019

Although this book may have been somewhat outdated in the present, many of the ideas in it are still very useful. Pay attention to the profound influence of social media on consumer behavior; present new consumer behavior characteristics in the new network environment; analyze new hotspot marketing and consumption events.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

CIO Business Intelligence

FEBRUARY 21, 2023

The firm’s connected brewery IoT platform, for instance, is being used for data ingestion and edge computing in breweries, enabling local teams to analyze, adjust, test and optimize production processes, with this in-turn allowing operations to leverage real-time and historical data to support the workers on the shop floor.

Digital Transformation 100

Digital Transformation Sales Experimentation Optimization 100

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. Some companies have lifted their bans and are allowing limited use of the technology; others have not.

Strategy 97

Strategy Risk Enterprise Risk Management 97

The Data Visualisation Catalogue

MARCH 3, 2019

This experimental visualisation uses a polar layout and extends into into 3D with a cylindrical form. A spherical variation was also tested out: Source: The Design Space of Implicit Hierarchy Visualization: A Survey, p. A spherical variation was also tested out: Source: The Design Space of Implicit Hierarchy Visualization: A Survey, p.

Experimentation 40

Experimentation Visualization Testing IT 40

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

A/B testing is used widely in information technology companies to guide product development and improvements. For questions as disparate as website design and UI, prediction algorithms, or user flows within apps, live traffic tests help developers understand what works well for users and the business, and what doesn’t.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

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. This personalized approach might lead to more effective therapies with fewer side effects.

Cost-Benefit 88

Cost-Benefit Modeling Manufacturing Interactive 88

Occam's Razor

MARCH 23, 2021

This is very hard to do, we now have a proven seven-step experimentation process, with one of the coolest algorithms to pick matched-markets (normally the kiss of death of any large-scale geo experiment). The first component is a gloriously scaled global creative pre-testing program. Matched market tests. The slow music.

Analytics 131

Analytics Scorecard Strategy Testing 131

CIO Business Intelligence

OCTOBER 18, 2023

Balancing risks, rewards The rate of pilot testing and POCs — this early in the game — is quite high, particularly for a rapidly advancing technology deemed by Elon Musk and others as potentially “civilization” destroying.

Risk 138

Risk Manufacturing Enterprise Technology 138

Domino Data Lab

AUGUST 6, 2021

The early definition now accepted as standard in the industry is: “The use of models invariably presents model risk, which is the potential for adverse consequences from decisions based on incorrect or misused model outputs and reports.” Model implementation. Also beware using a model outside of the environment for which it was designed.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

DataRobot Blog

JANUARY 10, 2023

ML model builders spend a ton of time running multiple experiments in a data science notebook environment before moving the well-tested and robust models from those experiments to a secure, production-grade environment for general consumption. Capabilities Beyond Classic Jupyter for End-to-end Experimentation. Auto-scale compute.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

DataRobot

APRIL 19, 2021

Data scientists also need to understand how the business operates, which requires communication and presentation skills. In the first experiment, study participants were presented with a dataset, a machine learning model that had been trained using that dataset, and an interpretability tool.

Machine Learning 52

Machine Learning Visualization Data-driven Data Science 52

CIO Business Intelligence

JUNE 27, 2022

Tyson: You mentioned in this presentation (something I’d encourage anyone interested in CI/CD to watch) that you don’t have any human QA agents at Sentry. We rely heavily on automated testing. A lot of the current approaches feel very experimental and are tough to see as maintainable, so there’s certainly still room for growth here.

Software 104

Software Experimentation Testing Marketing 104

Domino Data Lab

AUGUST 5, 2019

Chris Wiggins , Chief Data Scientist at The New York Times as well as a professor at Columbia, recently presented the seminar “What should future statisticians, CEOs, and senators know about the history and ethics of data?” regulators and Volkswagen customers by implementing software specifically designed to cheat emissions tests.”.

Data Science 93

Data Science Data-driven Modeling Machine Learning 93

Alation

SEPTEMBER 28, 2022

Automated testing to ensure data quality. Alation provides robust DataOps solutions that help you foster collaboration, build trusted data solutions, automate testing & monitoring, and visualize data pipelines. Technical environments and IDEs must be disposable so that experimental costs can be kept to a minimum. Simplicity.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

The Unofficial Google Data Science Blog

JULY 22, 2020

Another reason to use ramp-up is to test if a website's infrastructure can handle deploying a new arm to all of its users. The website wants to make sure they have the infrastructure to handle the feature while testing if engagement increases enough to justify the infrastructure.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Domino Data Lab

DECEMBER 4, 2020

Domino Lab supports both interactive and batch experimentation with all popular IDEs and notebooks (Jupyter, RStudio, SAS, Zeppelin, etc.). Once all packages have been imported, we can move on to loading our test data. We can also check for missing values, although it appears that none are present. x)), pain_df).

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

Occam's Razor

AUGUST 22, 2011

Consultants, Analysts: Present Impactful Analysis, Insightful Reports. Five Reasons And Awesome Testing Ideas. Lab Usability Testing: What, Why, How Much. Build A Great Web Experimentation & Testing Program. Experimentation and Testing: A Primer. Interviewing Tip: Stress Test Critical Thinking.

KPI 124

KPI Metrics Measurement ROI 124

Ontotext

APRIL 3, 2024

In this post we present you with insight gathered at the Knowledge Graph Forum during the panel on Financial Services. Nimit Mehta: I think that 2024 is going to be a buckle-down year, but, at the same time, we’ll see a rapid explosion of experimentation. It’s open. It’s unsafe.” Especially now. Maybe later.

Technology 59

Technology Risk Digital Transformation Measurement 59

O'Reilly on Data

OCTOBER 19, 2021

ML apps need to be developed through cycles of experimentation: due to the constant exposure to data, we don’t learn the behavior of ML apps through logical reasoning but through empirical observation. An Overarching Concern: Correctness and Testing. This approach is not novel. Why did something break? Who did what and when?

IT 346

IT Testing Experimentation Software 346

Occam's Razor

JUNE 4, 2018

Present a yummy spreadsheet that quantifies the cost of inaction , how much money you’ll lose by not delivering a 25% improvement every week. Such is the case with A/B testing. It will be heartbreaking, and now you are ready for progress! I still do it less than I should. The tools are free and abundant. Yet, you don’t use them.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

Occam's Razor

MAY 15, 2006

Add to this the fact that now there is a massive proliferation of tools that will instantly create reports presenting data in every conceivable slice, graph, table, pivot or dump that you can imagine the challenge. Experimentation/Testing (the latest new and cool thing to do, a/b or multivariate).

Metrics 100

Metrics Experimentation Testing Interactive 100

Occam's Razor

FEBRUARY 26, 2008

" Or " I proposed testing / surveys / competitive intelligence / Analysts but I was shot down." 1: Implement a Experimentation & Testing Program. # 1: Implement a Experimentation & Testing Program. Here is data from our latest test." And now you have no excuse to avoid testing.

Management 68

Management Experimentation Testing Strategy 68