Rocket-Powered Data Science

FEBRUARY 15, 2023

encouraging and rewarding) a culture of experimentation across the organization. These rules are not necessarily “Rocket Science” (despite the name of this blog site), but they are common business sense for most business-disruptive technology implementations in enterprises. Test early and often.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

Aryng

APRIL 13, 2022

“Experimentation is the least arrogant method of gaining knowledge. The experimenter humbly asks a question of nature.” For companies […] The post How to use Experimentation as a Growth Accelerator appeared first on Aryng's Blog.

Experimentation 52

Experimentation IT Testing 52

Aryng

APRIL 22, 2022

Most managers are good at formulating innovative […] The post How to differentiate the thin line separating innovation and risk in experimentation appeared first on Aryng's Blog. We have seen this as a general trend in start-ups, and we know that it’s an awful feeling!

Experimentation 52

Experimentation Risk Management IT 52

datapine

MAY 20, 2020

When we say “optimal design,” we don’t mean cramming piles of information into one space or being overly experimental with colors. The post Apply Modern CRM Dashboards & Reports Into Your Business – Examples & Templates appeared first on BI Blog | Data Visualization & Analytics Blog | datapine.

Dashboards 265

Dashboards Reporting KPI Visualization 265

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

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

datapine

FEBRUARY 4, 2020

As we have already talked about in our previous blog post on sales reports for daily, weekly or monthly reporting, you need to figure out a couple of things when launching and executing a marketing campaign: are your efforts paying off? 1) Blog Traffic And Blog Leads Report. click to enlarge**.

Reporting 280

Reporting Marketing Advertising Metrics 280

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

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 Data Science 111

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. Comet.ML — Allows data science teams and individuals to automagically track their datasets, code changes, experimentation history and production models creating efficiency, transparency, and reproducibility.

Testing 304

Testing Machine Learning Consulting Data Science 304

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 117

Data Science Enterprise Experimentation Machine Learning 117

CIO Business Intelligence

AUGUST 29, 2024

Once a user has created a new Gem, they have to write instructions for it to follow, Dave Citron, senior director of product management at Gemini Experiences, wrote in a blog post. When you create your Gem, you can use Gemini to help re-write and expand on your instructions,” the company wrote in another blog post. Flash model.

Experimentation 128

Experimentation Modeling Enterprise Marketing 128

O'Reilly on Data

SEPTEMBER 11, 2018

There’s a long history of language about moving data: we have had dataflow architectures, there's a great blog on visualization titled FlowingData , and Amazon Web Services has a service for moving data by the (literal) truckload. Data, even “big data,” doesn’t stay in the same place: it wants to move. What might that responsibility mean?

Advertising 247

Advertising Insurance Experimentation Strategy 247

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 122

Machine Learning Modeling Experimentation IT 122

The Unofficial Google Data Science Blog

JULY 22, 2020

Instead, we focus on the case where an experimenter has decided to run a full traffic ramp-up experiment and wants to use the data from all of the epochs in the analysis. When there are changing assignment weights and time-based confounders, this complication must be considered either in the analysis or the experimental design.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

Ontotext

JANUARY 10, 2025

This blog post summarizes our findings, focusing on NER as a first-step key task for knowledge extraction. Through iterative experimentation, we incrementally added new modules refining the prompts. Understanding its importance, we investigated how GenAI performs on NER, especially in diverse and domain-specific contexts.

Informatics 59

Informatics Modeling Metadata Experimentation 59

IBM Big Data Hub

JANUARY 16, 2024

You need to move beyond experimentation to scale. Register now The post Join us at the forefront of AI for business: Think 2024 appeared first on IBM Blog. You want to use AI to accelerate productivity and innovation for your business. You have to move fast. Join us at the forefront of AI for business: Think 2024.

Experimentation 96

Experimentation ROI Consulting Enterprise 96

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.

Machine Learning 145

Machine Learning Experimentation Key Performance Indicator Reporting 145

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.

Testing 154

Testing Dashboards Measurement Experimentation 154

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 Data Science 105

O'Reilly on Data

OCTOBER 13, 2020

In an incident management blog post , Atlassian defines SLOs as: “the individual promises you’re making to that customer… SLOs are what set customer expectations and tell IT and DevOps teams what goals they need to hit and measure themselves against.

Management 322

Management Machine Learning Metrics Modeling 322

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

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

Occam's Razor

MAY 15, 2006

There are many types of qualitative data at your disposal including brand buzz, customer satisfaction, net promoter indices, visitor engagement, stickiness, blog-pulse, etc. There is a lot of "buzz" around "buzzy" metrics such as brand value / brand impact, blog-pulse , to name a couple.

Metrics 100

Metrics Experimentation Testing Interactive 100

Cloudera

APRIL 13, 2021

Unfortunately, most organizations run into trouble when it comes to bridging the gap that exists between experimentation and full-scale ML production. Proper science takes experimentation and observation, as well as a willingness to accept the failures alongside the successes. To help teams work smarter and do things faster.

Machine Learning 98

Machine Learning Enterprise Experimentation Modeling 98

Occam's Razor

SEPTEMBER 30, 2013

You should have an incredibly amazing blog for your company (more on this below). In addition to that they have amazing content like what you'll see at Patagonia Surfing , and they have a regularly updated awesome blog The Cleanest Line and so much more. Finally, I''ve never accepted ads on this blog. incredible 2.

Marketing Analytics 156

Marketing Analytics Marketing Visualization Analytics 156

Cloudera

SEPTEMBER 18, 2024

Unique Data Integration and Experimentation Capabilities: Enable users to bridge the gap between choosing from and experimenting with several data sources and testing multiple AI foundational models, enabling quicker iterations and more effective testing.

Data-driven 91

Data-driven Optimization Experimentation Testing 91

DataRobot Blog

MARCH 16, 2023

Collaborative Experimentation Experience – the new experience, called the Workbench, comes packed with new capabilities such as new integrated data prep for modeling and notebooks providing a full code-first experience. New Snowflake integrations and the SAP joint solution have tightened the data to experimentation to deployment loop.

Experimentation 98

Experimentation Data-driven Modeling Metadata 98

IBM Big Data Hub

JUNE 10, 2024

In this blog, we’ll explore how businesses can use both on-premises and cloud XaaS to control budgets in the age of AI, driving financial sustainability without compromising on technological advancement. Embracing a culture of experimentation helps businesses drive innovation while minimizing financial risk.

Experimentation 62

Experimentation Optimization Risk Management Machine Learning 62

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

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 121

Visualization Experimentation Publishing Interactive 121

DataRobot

JANUARY 20, 2022

— Collaborating via Snowflake Data Cloud and DataRobot AI Cloud Platform will enable multiple organizations to build a community movement where experimentation, innovation, and creativity flourish. Technology Alliance. Learn More About the Snowflake and DataRobot Partnership.

Data-driven 145

Data-driven Experimentation Predictive Modeling Data Warehouse 145

Domino Data Lab

OCTOBER 14, 2020

Experimentation and collaboration are built into the core of the platform. This ability enhances the efficiency of operational management and optimizes the cost of experimentation. For a complete understanding of the benefits of Petastorm, check out this blog. Domino shines in reproducibility and discovery. Why Petastorm?

Experimentation 99

Experimentation Deep Learning Modeling Testing 99

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 Strategy Software 116

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

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 89

Data Warehouse Experimentation Cost-Benefit Dashboards 89

datapine

JANUARY 31, 2022

They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process. The post 6 Case Studies on The Benefits of Business Intelligence And Analytics appeared first on BI Blog | Data Visualization & Analytics Blog | datapine.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214