AWS Big Data

MAY 2, 2023

The workflow steps are as follows: The producer DAG makes an API call to a publicly hosted API to retrieve data. Test the feature To test this feature, run the producer DAG. Removal of experimental Smart Sensors. Test the feature Upload the four sample text files from the local data folder to an S3 bucket data folder.

Testing 97

Testing Experimentation Management Metadata 97

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 94

Cost-Benefit Modeling Manufacturing Interactive 94

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. This has serious implications for software testing, versioning, deployment, and other core development processes.

Management 332

Management Machine Learning Experimentation Metrics 332

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. A host of open-source libraries. Deep Dive into DataRobot Notebooks. Auto-scale compute.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

AWS Big Data

JULY 26, 2023

You can choose to host your collection on a public endpoint or within a VPC. From preview to GA and beyond Today, we are excited to announce the preview of the vector engine, making it available for you to begin testing it out immediately. All the data in the vector engine is encrypted in transit and at rest by default.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

DataRobot

JUNE 10, 2021

Traditionally, experimentation and observation was the only way to understand the physical-chemical properties of the molecule. To foster innovation in this area, AICrowd hosted a competition to predict the olfactory properties of a molecule. Below are the per-label metrics provided by DataRobot for model evaluation purposes.

Metrics 52

Metrics Machine Learning Visualization Experimentation 52

AWS Big Data

JANUARY 9, 2024

This functionality was initially released as experimental in OpenSearch Service version 2.4, For instance, you can connect to external ML models hosted on Amazon SageMaker , which provides comprehensive capabilities to manage models successfully in production. and is now generally available with version 2.9.

Cost-Benefit 88

Cost-Benefit Visualization Modeling Machine Learning 88

Domino Data Lab

MAY 8, 2019

At CMU I joined a panel hosted by Zachary Lipton where someone in the audience asked a question about machine learning model interpretation. They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Let’s look through some antidotes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

JUNE 4, 2018

Social cues (/proof) can help create a sense of urgency for a whole host of companies. Such is the case with A/B testing. 800 plusses on Google+. Ok, so maybe not Google+ (I was genuinely excited about it, I am sad it died). But you get the idea. Yet, I bet you’ve rarely seen the use of this aggregated information to deliver nudges.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

Domino Data Lab

JULY 2, 2019

several aspects of that earlier U Washington project seem remarkably similar, including the experimental design, train/test data source, and even the slides. OSCON , Jul 15-18 in Portland – come to the “ML Ops: Managing the end-to-end ML lifecycle” track that I’ll be hosting on Jul 16! PyBay , Aug 15-18, SF.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

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. When you go to the interview, the hiring company will proceed to ask questions that test your competency in the listed job requirements. This is normal.

Marketing 136

Marketing Analytics Machine Learning Strategy 136

Occam's Razor

DECEMBER 9, 2009

The four pronged real world tested probing and loaded with politics framework to find a home for Web Analytics: 1. Who owns the power to make changes to the site (not who owns updating pages or hosting the site)? I hope it is of value to you all (and now you don't have to pay me large sums of money to do this for you!).

Analytics 95

Analytics Data-driven Marketing Sales 95

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. Secure, Seamless, and Scalable ML Data Preparation and Experimentation Now DataRobot and Snowflake customers can maximize their return on investment in AI and their cloud data platform.

Modeling 52

Modeling Experimentation Machine Learning Data-driven 52

Alation

DECEMBER 14, 2021

These systems offer numerous web-centric features that bolster customer service and engagement, provide server scalability during periods of fluctuating traffic, and allow easy experimentation with new technologies and promotional strategies. Cloud testing. What is cloud-hosted? Optimized business continuity. Cloud performance.

Cost-Benefit 52

Cost-Benefit Data Processing Optimization Consulting 52

DataRobot

SEPTEMBER 14, 2021

And for those that do make it past the experimental stage, it typically takes over 18 months for the value to be realized. Even models that are tested for bias during the development can become biased once in production. DataRobot also now has an integrated and cloud-hosted notebook solution from our recent acquisition of Zepl.

Machine Learning 94

Machine Learning Modeling Experimentation Visualization 94

DataRobot Blog

FEBRUARY 9, 2022

This approach gives freedom to move its AI artifacts around, regardless of whether they are hosted on a major cloud platform or its own on-premise infrastructure. Machine learning operations (MLOps) solutions allow all models to be monitored from a central location, regardless of where they are hosted or deployed.

IT 52

IT Experimentation Machine Learning Data Processing 52

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. We sometimes refer to this as splitting “dev/test” from “production” workloads, but we can generalize the approach by referring to the overall priority of the workload for the business.

Metadata 86

Metadata Data Lake Optimization Strategy 86

DataRobot Blog

MARCH 7, 2023

DataRobot on Azure accelerates the machine learning lifecycle with advanced capabilities for rapid experimentation across new data sources and multiple problem types. Models trained in DataRobot can also be easily deployed to Azure Machine Learning, allowing users to host models easier in a secure way.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

CIO Business Intelligence

AUGUST 1, 2023

Define a game-changing LLM strategy At a recent Coffee with Digital Trailblazers I hosted, we discussed how generative AI and LLMs will impact every industry. Mitigate risks by communicating an LLM governance model The generative AI landscape has more than 100 tools covering test, image, video, code, speech, and other categories.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98