Analytics Vidhya

OCTOBER 29, 2021

This article was published as a part of the Data Science Blogathon Introduction to Statistics Statistics is a type of mathematical analysis that employs quantified models and representations to analyse a set of experimental data or real-world studies. Data processing is […].

Data Science 325

Data Science Statistics Experimentation Data Processing 325

David Menninger's Analyst Perspectives

MAY 17, 2023

And recently, ChatGPT has raised awareness of AI and instigated research and experimentation into new ways in which AI can be applied. In addition, analytics vendors have been augmenting business intelligence (BI) products with AI.

Modeling 147

Modeling Data-driven Experimentation Business Intelligence 147

KDnuggets

APRIL 14, 2023

AutoGPT is an experimental open-source pushing the capabilities of the GPT-4 language model. Just when we got our heads around ChatGPT, another one came along.

Experimentation 139

Experimentation Modeling 139

Corinium

JANUARY 30, 2020

Ahead of her presentation at CDAO UK, we spoke with Quantum Metric’s Marina Shapira about predictive analytics, why companies should embrace a culture of experimentation how and CAOs and CXOs can work together effectively. What is behavioural research? And what role should it play in an organization's data and analytics strategy?

Predictive Analytics 300

Predictive Analytics Metrics Experimentation Analytics 300

Dataiku

JANUARY 14, 2021

As more and more organizations continue to invest in their data and analytics practices, the question we repeatedly hear from analytics leaders is, “How can I streamline and scale my teams’ efforts in order to drive even more impact?”.

Experimentation 59

Experimentation Analytics 59

O'Reilly on Data

MAY 14, 2020

AI PMs should enter feature development and experimentation phases only after deciding what problem they want to solve as precisely as possible, and placing the problem into one of these categories. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

Management 363

Management Experimentation Machine Learning Data-driven 363

KDnuggets

DECEMBER 27, 2019

In this fourth and final part of the ultralearning data science series, it's time to take the final steps toward developing a deep understanding of the fundamentals and learning how to experiment -- the two aspects that are the ultimate keys to ultralearning.

Data Science 94

Data Science Experimentation IT 94

Teradata

FEBRUARY 23, 2023

To become an AI achiever, companies need capabilities to operationalize at scale to achieve business value. Find out how ClearScape Analytics & Vertex AI can help.

Analytics 52

Analytics Experimentation 52

Dataiku

MAY 23, 2023

Once a data science project has progressed through the stages of data cleaning and preparation, analysis and experimentation, modeling, testing, and evaluation, it reaches a critical point.

Data Science 52

Data Science Experimentation Machine Learning Modeling 52

Rocket-Powered Data Science

FEBRUARY 15, 2023

encouraging and rewarding) a culture of experimentation across the organization. Encourage and reward a Culture of Experimentation that learns from failure, “ Test, or get fired! This can be overcome with small victories (MVP minimum viable products, or MLP minimum lovable products) and with instilling (i.e., Test early and often.

Strategy 295

Strategy Data-driven Machine Learning Experimentation 295

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 Machine Learning Experimentation Data Science 105

O'Reilly on Data

JULY 28, 2020

Without clarity in metrics, it’s impossible to do meaningful experimentation. AI PMs must ensure that experimentation occurs during three phases of the product lifecycle: Phase 1: Concept During the concept phase, it’s important to determine if it’s even possible for an AI product “ intervention ” to move an upstream business metric.

Marketing 357

Marketing Metrics Experimentation Data-driven 357

DataRobot Blog

DECEMBER 6, 2022

Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. These data science teams are seeing tremendous results—millions of dollars saved, new customers acquired, and new innovations that create a competitive advantage. Read the blog.

Data-driven 145

Data-driven Forecasting Experimentation Machine Learning 145

Dataiku

MAY 19, 2023

As highlighted by respondents in the 2023 Dataiku-sponsored IDC InfoBrief "Create More Business Value From Your Organizational Data,” a lack of effective technology, production-ready data pipelines, and an environment that facilitates smooth project transitions from experimentation to production are some of the key reasons.

Experimentation 52

Experimentation IT Technology 52

MLWhiz

SEPTEMBER 7, 2020

I remember picking PyTorch up only after some extensive experimentation a couple of years back. PyTorch has sort of became one of the de facto standards for creating Neural Networks now, and I love its interface. Yet, it is somehow a little difficult for beginners to get a hold of.

Experimentation 141

Experimentation IT 141

KDnuggets

DECEMBER 30, 2019

For those of you in a hurry and interested in ultralearning (which should be all of you), this recap reviews the approach and summarizes its key elements -- focus, optimization, and deep understanding with experimentation -- geared toward learning Data Science.

Data Science 95

Data Science Experimentation Optimization IT 95

Dataiku

NOVEMBER 17, 2021

For many years, AI was an experimental risk for companies. Today, AI is not a brand new concept and most enterprises have at least explored AI implementation. As of 2020, 68% of enterprises had used AI, having already adopted AI applications or introduced AI on some level into their business processes. So, where does AI stand moving forward?

ROI 110

ROI Enterprise Experimentation Risk 110

CIO Business Intelligence

MAY 23, 2022

The cloud is great for experimentation when data sets are smaller and model complexity is light. Often the burden of platform development can fall on data science and developer teams who know what they need for their projects, but whose skills are better served focusing on experimentation with algorithms instead of systems development.

Data Science 137

Data Science Experimentation Data Lake Cost-Benefit 137

CIO Business Intelligence

MARCH 28, 2023

Here are some ways leaders can cultivate innovation: Build a culture of experimentation. Create a culture of experimentation and continuous improvement by giving employees the freedom to test new ideas and approaches to sustainability. Invest in technology.

Experimentation 98

Experimentation Metrics Digital Transformation Measurement 98

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 Analytics 103

CIO Business Intelligence

NOVEMBER 4, 2022

The company’s multicloud infrastructure has since expanded to include Microsoft Azure for business applications and Google Cloud Platform to provide its scientists with a greater array of options for experimentation. Google created some very interesting algorithms and tools that are available in AWS,” McCowan says.

Data Lake 124

Data Lake Data-driven IT Experimentation 124

CIO Business Intelligence

APRIL 25, 2023

It’s hard to achieve a deep, experiential understanding of new technology without experimentation. Leaders should define a process for evaluating these AI technology developments early, as well as an infrastructure and environment to support experimentation.

Enterprise 116

Enterprise Experimentation Modeling Deep Learning 116

Dataiku

DECEMBER 28, 2022

It seems like just yesterday that your data science team was a handful of people, actively having to seek out cool use cases for experimentation. Now, like many companies, you likely have the opposite problem. Teams across the organization are asking “how can AI help me?”

Data Science 52

Data Science Experimentation IT 52

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 95

Experimentation Modeling Statistics Testing 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 Enterprise Risk 52

CIO Business Intelligence

JUNE 1, 2023

A transformation in marketing Other research backs up the premise that GAI is having a transformative effect on the role of marketers, who are becoming bolder and more experimental with their martech stacks. Perhaps most tellingly, nearly 2 in 5 had redistributed funds from metaverse projects to AI-related ones.

Marketing 98

Marketing B2B Experimentation Cost-Benefit 98

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.

Predictive Modeling 52

Predictive Modeling Experimentation Cost-Benefit Risk 52

KDnuggets

NOVEMBER 8, 2021

Learn how PayPal, AWS, Intel, Accenture, MIT and Stanford apply experimentation to build better AI at the free SigOpt AI & HPC Summit.

Experimentation 76

Experimentation 76

Decision Management Solutions

MARCH 26, 2020

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. Invest some time learning about experimental design and run your own.

Experimentation 72

Experimentation Optimization Testing Risk 72

Dataiku

FEBRUARY 17, 2022

In this article, we continue our exploration of how expert Dataiku users and administrators can lift Dataiku created APIs into a data mesh, seeking to expose data and inference engines created during the experimental phase as a tissue of governed microservices.

Enterprise 59

Enterprise Experimentation 59

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 118

Data Science Enterprise Machine Learning Experimentation 118

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.

Data-driven 98

Data-driven Experimentation Modeling Metadata 98

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 Data Science Data-driven Experimentation 52

IBM Big Data Hub

APRIL 21, 2020

Describing the breadth of IBM's leadership and experimentation in the data and AI space is no small task. IBM has been working with more than 200 production blockchain networks , thousands of regulatory documents and datasets across industries, and hundreds of AI research projects.

Experimentation 83

Experimentation Technology 83

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.

Data-driven 130

Data-driven Data Analytics Analytics Experimentation 130

Teradata

OCTOBER 13, 2021

Telcos, their customers, & a range of enterprises are entering a period of experimentation with 5G. The opportunities for innovation & growth are immense – but the costs & risks are outsized too.

Experimentation 52

Experimentation Enterprise Risk 52