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. This is also called embedding the text into the vector space.

Cost-Benefit 91

Cost-Benefit Visualization Modeling Machine Learning 91

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. SENTENCE represents smells as the target or labels that need to be predicted.

Metrics 52

Metrics Machine Learning Visualization Experimentation 52

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

The Unofficial Google Data Science Blog

JULY 22, 2020

Another reason to use ramp-up is to test if a website's infrastructure can handle deploying a new arm to all of its users. For example, consider a smaller website that is considering adding a video hosting feature to increase engagement on the site. In this post we discuss the problem, a solution, and practical considerations.

Experimentation 95

Experimentation Statistics Testing Strategy 95

DataKitchen

APRIL 13, 2021

Testing and Data Observability. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Testing and Data Observability. Production Monitoring and Development Testing.

Testing 307

Testing Machine Learning Consulting Data Quality 307

Occam's Razor

JUNE 4, 2018

By every indicator available, ecommerce is continuing to grow at an insane speed. Although it may seem impossible to imagine with ecommerce already totaling up to 5% of overall commerce, there’s astronomical growth still to come. Still, I’m heartbroken that some the simplest elements of ecommerce stink so much. youarekillingme. Deep breath.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

datapine

MAY 20, 2020

At its core, CRM dashboard software is a smart vessel for data analytics and business intelligence – digital innovation that hosts a wealth of insightful CRM reports. This most value-driven CRM dashboard and a powerful piece of CRM reporting software host a cohesive mix of visual KPIs. Let’s look at this in more detail.

Dashboards 265

Dashboards Reporting KPI Visualization 265

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. It is rare for me to work with a organization where the root cause for their faith based decision making (rather than data driven) was not the org structure. It is almost never tools. Not any more.

Analytics 95

Analytics Data-driven Marketing Sales 95

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

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. They iterate.

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 are the differences between cloud-native and cloud-enabled solutions?

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

AWS Big Data

JULY 26, 2023

We are pleased to announce the preview release of the vector engine for Amazon OpenSearch Serverless. This post summarizes the features and functionalities of our vector engine. Exploring the vector engine’s capabilities Built on OpenSearch Serverless, the vector engine inherits and benefits from its robust architecture.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

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’ve become “embedded institutions” in engineering. Unfortunately, ML applications introduce twists that are not matters for engineering to resolve. Let’s look through some antidotes. intelligibility.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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 85

Metadata Data Lake Optimization Strategy 85

Domino Data Lab

JULY 2, 2019

One of the longer-term trends that we’re seeing with Airflow , and so on, is to externalize graph-based metadata and leverage it beyond the lifecycle of a single SQL query, making our workflows smarter and more robust. Program Synthesis. If you haven’t seen AutoPandas [link] yet, go check it out. Done and done. That’s even more impressive.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

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 97

Digital Transformation Unstructured Data Strategy Experimentation 97

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. It is now all on you. This is normal.

Marketing 136

Marketing Analytics Machine Learning Strategy 136