DataRobot

MARCH 10, 2021

The current generation of AI systems is powered by machine learning , a technology that involves learning by example rather than waiting for humans to manually code rules into a computer system. Deploy the machine learning model into production. Is autonomy a realistic promise or is it simply marketing hype?

Experimentation 145

Experimentation Machine Learning Key Performance Indicator Reporting 145

DataRobot Blog

MARCH 16, 2023

We’ve tightened the loop between ML data prep , experimentation and testing all the way through to putting models into production. Now data scientists can be agile across the machine learning life cycle with the benefit of Snowflake’s scale, security, and governance. Why are we focusing on this?

Modeling 52

Modeling Experimentation Machine Learning Data-driven 52

Smart Data Collective

JULY 9, 2023

Several organizations and research firms publish e-commerce conversion rate benchmarks based on industry data and trends. Experimentation is the key to finding the highest-yielding version of your website elements. You can find comprehensive E-commerce conversion rate benchmarks here.

Optimization 73

Optimization Data Analytics Analytics Data-driven 73

CIO Business Intelligence

APRIL 15, 2024

Tax preparation company H&R Block is no stranger to AI and machine learning (ML), having leveraged the technologies across its business for years. Given the speed required, Lowden established a specialized team for the project to encourage a culture of experimentation and “moving fast to learn fast.” “You

Testing 71

Testing Experimentation Data Quality Machine Learning 71

Insight

FEBRUARY 20, 2020

Only Bias Understanding why noise in machine learning is nothing but bias In this post, we explain how bias and noise in machine learning are two sides of the same coin. Read on to see how the same goes for the fundamental laws of machine learning. There is No Noise?—?Only God does not play dice.?—?Albert

Machine Learning 71

Machine Learning Experimentation Modeling Measurement 71

CIO Business Intelligence

JULY 6, 2023

Subhamoy Chakraborti, Chief Technology Officer of ABP Private Limited, spearheads the technological advancements under his ambit in the media house, which publishes two daily newspapers, five magazines, several digital channels and portals, runs e-commerce platforms, school admission-related portals and a radio enterprise.

Digital Transformation 88

Digital Transformation Experimentation Recreation/Entertainment Technology 88

AWS Big Data

JANUARY 9, 2024

2023 was a year of rapid innovation within the artificial intelligence (AI) and machine learning (ML) space, and search has been a significant beneficiary of that progress. This functionality was initially released as experimental in OpenSearch Service version 2.4, and is now generally available with version 2.9.

Cost-Benefit 94

Cost-Benefit Visualization Modeling Machine Learning 94

Cloudera

MAY 31, 2023

Applied in enterprise context, as an employee if we were to ask about company travel and relocation policies, a generic LLM will hallucinate reasonable sounding policies, which will not match what the company publishes. Cloudera Machine Learning (CML) is one of these data services provided in CDP.

Enterprise 74

Enterprise Data Processing Experimentation Modeling 74

CIO Business Intelligence

JUNE 28, 2023

Even among the companies permitting the tools, many are publishing stringent usage guidelines, and are proactively working with technology partners to accelerate access to enterprise-grade solutions with more robust security. Experimentation with a use case driven approach. Business fundamentals still apply.

Enterprise 52

Enterprise Experimentation Risk Data-driven 52

Data Science and Beyond

JULY 22, 2018

Two years later, I published a post on my then-favourite definition of data science , as the intersection between software engineering and statistics. It’s not all about machine learning. It is now much easier to deploy machine learning models, even without a deep understanding of how they work.

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

DataRobot

APRIL 19, 2021

Most modern artificial intelligence systems are powered by machine learning algorithms , which learn by example. Data scientists train the algorithms using datasets that contain curated learning examples. There is some recently published research about the ability of data scientists to discover errors.

Machine Learning 52

Machine Learning Visualization Data-driven Data Science 52

AWS Big Data

OCTOBER 4, 2023

Use business terms to search, share, and access cataloged data, making data accessible to all the configured users to learn more about data they want to use with the business glossary. Automate data discovery and cataloging with machine learning (ML).

Metadata 102

Metadata Data Lake Publishing Data Governance 102

Sanjeev Mohan

FEBRUARY 6, 2019

This is the focus of my latest research which published in Jan 2019. I saw the winds change and the inquiry requests shifted towards advanced analytics involving machine learning (ML) questions. GCP has gained acceptance for development and experimentation and more enterprise customers are putting it into production.

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. Ensure a culture that supports a steady process of learning and experimentation. This is not that.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

DataRobot Blog

AUGUST 10, 2022

Snowflake provides a state-of the-art data platform for collating and analysing workforce data, and with the combined addition of DataRobot Solution Accelerator models, trusts can have predictive models running with little experimentation — further accelerated by the wide range of supportive datasets available through the Snowflake Marketplace.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

Domino Data Lab

AUGUST 6, 2021

When you factor in the requirements of a business-critical machine learning model in a working enterprise environment, the old cat-herding meme won’t even get a smile. Develop: includes accessing and preparing data and algorithms, researching and development of models and experimentation. 4 Steps in the DSLC.

Data Science 75

Data Science Testing Modeling Publishing 75

Domino Data Lab

MAY 8, 2019

I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”. Not yet, if ever.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

JULY 28, 2021

For companies creating models to scale, an enterprise Machine Learning Operation (MLOps) platform not only needs to support enterprise-grade development and production, it needs to follow the same standard process that data scientists use. Have a question? Get in touch with us.

Data Science 59

Data Science Enterprise Modeling Experimentation 59

DataRobot Blog

FEBRUARY 15, 2023

The DataRobot AI catalog fosters collaboration by providing users a system of record for datasets, the ability to publish and share datasets with colleagues, tag datasets, and manage the lineage of the dataset throughout the entire project. This helps with getting more creative with your experimentation.

Modeling 52

Modeling Machine Learning Cost-Benefit Metrics 52

Sisense

MARCH 26, 2021

Newly published research shows that companies aren’t getting the most out of their analytics. To achieve this, he says, companies should find ways to lower the cost of experimentation, decrease the time to value, and scale successful experimentation into products quickly.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

O'Reilly on Data

MAY 11, 2020

Infinite Jest was published in 1996, just as the modern Web was coming into being. Television only lacked the immediate feedback that comes with clicks, tracking cookies, tracking pixels, online experimentation, machine learning, and “agile” product cycles. Does “The Entertainment” show people what they want to see?

Modeling 188

Modeling Advertising Recreation/Entertainment Metrics 188

Insight

MARCH 27, 2019

To address this problem, Google published AutoAugment last year, which discovers optimized augmentations for the given dataset using reinforcement learning. Using Google’s AutoAugment requires powerful computational resources due to the reinforcement learning module. This solved the augmentation overfitting problem.

Optimization 75

Optimization Cost-Benefit Modeling Strategy 75

AWS Big Data

JULY 26, 2023

The vector engine provides a simple, scalable, and high-performing similarity search capability in Amazon OpenSearch Serverless that makes it easy for you to build modern machine learning (ML) augmented search experiences and generative artificial intelligence (AI) applications without having to manage the underlying vector database infrastructure.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Cloudera

NOVEMBER 25, 2020

A quick and easy way to publish results to others, to accelerate results through active collaboration, even across organizational borders. A seamless way to apply Machine Learning (ML) to the same data sets, without switching systems and copying data into and out of additional, possibly proprietary formats.

Data Warehouse 58

Data Warehouse Unstructured Data Analytics Visualization 58

Insight

MARCH 12, 2020

There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often Galbraith eventually opted to publish Cuckoo’s Calling through an acquaintance of sorts. but the publishing industry failed to see it. often without even looking at it. In other words, Galbraith had chops?—?but

Modeling 59

Modeling Metadata Publishing Sales 59

Insight

APRIL 28, 2020

You’ll often see the name “data challenge” used when the take-home assignment involves machine learning or statistics or “coding challenge” when the focus is on evaluating a candidate’s software engineering skills. Length: Highly Variable.

Data-driven 53

Data-driven Data Science Experimentation Measurement 53

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. The first two are from editions of my newsletter, The Marketing – Analytics Intersect (it goes out weekly, and is now my primary publishing channel, sign up!). Deep Learning.

Marketing 136

Marketing Analytics Machine Learning Strategy 136

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. Another related term, “data pipeline” (at No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20