Occam's Razor

FEBRUARY 7, 2022

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. And yet, chances are you really don’t know anyone directly who uses experimentation as a part of their regular business practice. Wah wah wah waaah.

Experimentation 101

Experimentation Testing Optimization Marketing 101

DataRobot Blog

MARCH 8, 2023

DataRobot improves collaboration among AI teams so that they can discover and prove the value of models in business use cases through experimentation and then get models into production faster to improve how they run, grow, and optimize their business.

Enterprise 105

Enterprise Experimentation Machine Learning Modeling 105

Data Science 101

SEPTEMBER 1, 2023

I remember helping with my school website and also working on several WordPress blogs for myself and friends/family. If I had more room for experimentation though, I’d definitely give svelte and solidjs a try. I’ve been tinkering around with the web since I started learning how to code way back in high school.

Experimentation 116

Experimentation Testing Technology IT 116

The Unofficial Google Data Science Blog

APRIL 23, 2024

This blog post discusses such a comprehensive approach that is used at Youtube. To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. And we can keep repeating this approach, relying on intuition and luck.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Cloudera

OCTOBER 4, 2023

Flexible use of compute resources on analytics — which is even more important as we start performing multiple different types of analytics, some critical to daily operations and some more exploratory and experimental in nature, and we don’t want to have resource demands collide. appeared first on Cloudera Blog.

Data Warehouse 84

Data Warehouse Experimentation Cost-Benefit Dashboards 84

Cloudera

JULY 27, 2021

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. Only through hands-on experimentation can we discern truly useful new algorithmic capabilities from hype.

Data Science 113

Data Science Enterprise Experimentation Machine Learning 113

Decision Management Solutions

MARCH 26, 2020

We’ve been blogging recently on Decision Optimization. Randomly select groups of customers and use the experimental approach on them, to prevent bias, and ensure a clean test Keep information on both groups – what you would normally do and what you experimented on – so you can compare the approaches later.

Experimentation 72

Experimentation Recreation/Entertainment Optimization Testing 72

Cloudera

NOVEMBER 19, 2021

We recognise that experimentation is an important component of any enterprise machine learning practice. But, we also know that experimentation alone doesn’t yield business value. The post Make Your Models Matter: What It Takes to Maximize Business Value from Your Machine Learning Initiatives appeared first on Cloudera Blog.

Machine Learning 120

Machine Learning Modeling Experimentation IT 120

Domino Data Lab

MAY 15, 2019

While the talk provides both organizational foundations for machine learning as well as product management insights to consider when shipping ML projects, I will be focusing on the latter in this blog post. These steps also reflect the experimental nature of ML product management. more probabilistic rather than deterministic).

Machine Learning 111

Machine Learning Management Experimentation Uncertainty 111

Occam's Razor

MAY 22, 2006

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers. Counter claims?

Experimentation 103

Experimentation Testing Optimization Measurement 103

IBM Big Data Hub

DECEMBER 4, 2023

And the abundance of data available for training models has opened up vast possibilities for experimentation and learning. Explore IBM watsonx Orchestrate™ Try the watsonX Orchestrate interactive demo The post Top 5 criteria for developers when adopting generative AI appeared first on IBM Blog.

Experimentation 67

Experimentation Modeling Metrics Machine Learning 67

DataKitchen

DECEMBER 1, 2022

And finally, it’s about assisting organizations in creating a culture of experimentation where failure is okay because you know you’ll have the proper data infrastructure, processes, and policies to quickly identify and mitigate any issues. With DataOps, data teams can ship data analytics systems faster and more confidently.

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Experimentation Data-driven Risk Optimization 130

IBM Big Data Hub

MARCH 27, 2024

The experimental results indicate that fine-tuned LLMs exhibit significant improvements over the zero-shot classification approach. See AI Assist in action within the IBM Envizi ESG Suite The post Accelerating scope 3 emissions accounting: LLMs to the rescue appeared first on IBM Blog.

Experimentation 81

Experimentation Modeling Deep Learning Data-driven 81

DataRobot Blog

NOVEMBER 15, 2022

At the event, a financial services panel discussion shared why iteration and experimentation are critical in an AI-driven data science environment. Learn more about the DataRobot AI Cloud platform and the ability to accelerate experimentation and production timelines. Automate with Rapid Iteration to Get to Scale and Compliance.

Big Data 52

Big Data Experimentation Data-driven Machine Learning 52

IBM Big Data Hub

DECEMBER 15, 2023

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions.

Deep Learning 71

Deep Learning Experimentation Machine Learning Risk 71

DataKitchen

JANUARY 20, 2021

A COE typically has a full-time staff that focuses on delivering value for customers in an experimentation-driven, iterative, result-oriented, customer-focused way. The COE then attempts to leverage small wins across the larger organization at scale. They also can provide education and training enterprise-wide.

Metrics 243

Metrics Experimentation Measurement Testing 243

IBM Big Data Hub

DECEMBER 14, 2023

The extension of the CIO office’s dedicated data center to the IBM public cloud allowed for experimentation and growth with zero risk. The blog post “ How to use VPN with a VPC hub-and-spoke architecture ” describes the project. I wrote two blog posts about account cleanup. Security-wise, there was much more.

Experimentation 72

Experimentation Testing Software Management 72

Dataiku

MARCH 25, 2024

In this blog post, we delve into the workings of M-LLMs, unraveling the intricacies of their architecture, with a particular focus on text and vision integration. With new models being released regularly, both in open-source and proprietary domains, the field is witnessing an unprecedented surge in innovation and experimentation.

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Visualization Modeling Experimentation Testing 132

DataKitchen

OCTOBER 5, 2021

DataOps enables: Rapid experimentation and innovation for the fastest delivery of new insights to customers. In this blog, we’ll explore the role of the DataOps Engineer in driving the data organization to higher levels of productivity. A more technical discussion will follow in the next edition of this blog series.

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Testing Dashboards Measurement Experimentation 157

Cloudera

SEPTEMBER 17, 2020

A large oil and gas company was suffering over not being able to offer users an easy and fast way to access the data needed to fuel their experimentation. To address this, they focused on creating an experimentation-oriented culture, enabled thanks to a cloud-native platform supporting the full data lifecycle.

Experimentation 80

Experimentation Data Warehouse Dashboards Visualization 80

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines. Here are the key stages: .

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

The Data Visualisation Catalogue

DECEMBER 13, 2021

Journal of Experimental Psychology: Applied, 4 (2), 119–138. The post New Format for The Bar Chart Reference Page appeared first on The Data Visualisation Catalogue Blog. Reading bar graphs: Effects of extraneous depth cues and graphical context. Tversky, B., & Schiano, D.

Visualization 115

Visualization Experimentation Publishing Interactive 115

IBM Big Data Hub

MAY 17, 2024

Teams are comfortable with experimentation and skilled in using data to inform business decisions. Explore IBM Instana Observability Explore IBM Turbonomic The post Achieving cloud excellence and efficiency with cloud maturity models appeared first on IBM Blog. Service ownership is established and distributed to self-sufficient teams.

Modeling 82

Modeling Cost-Benefit Optimization Digital Transformation 82

Sisense

JULY 24, 2019

In my previous blog , I wrote about Natural Language Query (NLQ, or search analytics for some), as one of the major topics that we, the AI group in Sisense, are working on. In this blog, I would like to expand on NLQ and discuss how this AI technology can be leveraged in our domain.

Analytics 89

Analytics Experimentation Metadata Big Data 89

Jedox

SEPTEMBER 11, 2019

Experimental” Technology. Is AI truly experimental technology? Learn more about how your organization can find the right starting point for AI in FP&A with our eBook on digital finance and read about a real-world AI use case in our blog. In most cases, the answer is no. appeared first on Jedox.

Forecasting 59

Forecasting Experimentation Sales Unstructured Data 59

Depict Data Studio

OCTOBER 26, 2021

In this blog post, you’ll learn from Elizabeth Dove. This is referred to as “non-destructive” editing in the digital imaging world, and it is such a great feature for experimentation and creativity, because you risk nothing! Elizabeth is a professor at the University of Montana who teaches art and design. Thanks for sharing, Elizabeth!

Visualization 116

Visualization Experimentation Software Strategy 116

IBM Big Data Hub

MAY 25, 2023

Generative AI has progressed quickly beyond experimentation; businesses are embracing it to improve customer service, seize new market opportunities and more. The post IBM Consulting unveils Center of Excellence for generative AI appeared first on IBM Blog.

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Consulting Experimentation Machine Learning Modeling 108

IBM Big Data Hub

DECEMBER 5, 2023

This data tracks closely with a recent IDC Europe study that found 40% of worldwide retailers and brands are in the experimentation phase of generative AI, while 21% are already investing in generative AI implementations. The impact of these investments will become evident in the coming years. trillion on retail businesses through 2029.

Unstructured Data 95

Unstructured Data Cost-Benefit Experimentation Machine Learning 95

Smarten

MAY 17, 2023

Because these offerings are evolving quickly, and many of the gaps and risks are not yet well understood, it is important to test and try these tools in an experimental environment so your business can explore the potential without opening itself to risk, liability and issues with user and customer satisfaction issues.

Digital Transformation 52

Digital Transformation Experimentation Risk Testing 52

DataRobot

MARCH 10, 2021

In this blog post, I will focus on the use of the word autonomous , the dangers of using it with stakeholders, and, in the context of customer experience, the inaccurate perception that all things can be automated, eliminating the need for interactions between employees and customers. Beware the hype about AI systems.

Experimentation 145

Experimentation Machine Learning Key Performance Indicator Reporting 145

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. Facilitate experimentation and accelerate the development of AI applications within Cloudera Machine Learning using Applied ML Prototypes (AMPs).

Cost-Benefit 76

Cost-Benefit Testing Machine Learning Optimization 76

DataRobot Blog

JANUARY 10, 2023

Data science teams of all sizes need a productive, collaborative method for rapid AI experimentation. This flexibility allows you to import your local code into the DataRobot platform and continue further experimentation using the combination of DataRobot Notebooks with: Deep integrations with DataRobot comprehensive APIs.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

IBM Big Data Hub

MAY 9, 2023

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation to become business critical for many organizations. Read the AI governance e-book The post Bring light to the black box appeared first on IBM Blog.

Metadata 77

Metadata Risk Experimentation Dashboards 77

IBM Big Data Hub

FEBRUARY 1, 2024

Today, more than 130 central banks are actively exploring CBDCs and publishing periodic reports on the functional and non-functional requirements of CBDC platforms, including the evolving architectural considerations and the outcomes of their various CBDC experimentations.

Experimentation 100

Experimentation Modeling Finance Reporting 100

CIO Business Intelligence

SEPTEMBER 9, 2022

As Dan Moore writes in his “ Letters to a new Developer ” blog, “Even as a new developer, you’re constantly making small creative decisions (naming a variable, for example). There is, for example, far more creativity involved in building software than is typically imagined.

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Software Experimentation Measurement Marketing 131

IBM Big Data Hub

NOVEMBER 3, 2023

” This user interface not only brings Apache Flink to anyone that can add business value, but it also allows for experimentation that has the potential to drive innovation speed up your data analytics and data pipelines. Request a live demo to see how working with real-time events can benefit your business.

Cost-Benefit 78

Cost-Benefit Experimentation Testing Digital Transformation 78

Ontotext

MAY 31, 2023

The traditional approach to identifying new targets involves extensive experimentation and trial-and-error, which is often time-consuming, costly and may not yield desirable results. Novel target identification Novel target identification is a crucial step in drug discovery and development.

Experimentation 52

Experimentation Cost-Benefit Predictive Modeling Risk 52