CIO Business Intelligence

SEPTEMBER 12, 2024

These same decision-makers identify a host of challenges in implementing generative AI, so chances are that a significant portion of use is “unsanctioned.” If the code isn’t appropriately tested and validated, the software in which it’s embedded may be unstable or error-prone, presenting long-term maintenance issues and costs.

Experimentation 111

Experimentation Risk Cost-Benefit Strategy 111

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

CIO Business Intelligence

APRIL 14, 2023

In fact, it’s likely your organization has a large number of employees currently experimenting with generative AI, and as this activity moves from experimentation to real-life deployment, it’s important to be proactive before unintended consequences happen. This may include developing training videos and hosting live sessions.

Risk 122

Risk Experimentation Marketing Risk Management 122

AWS Big Data

AUGUST 21, 2023

For the demo, we’re using the Amazon Titan foundation model hosted on Amazon Bedrock for embeddings, with no fine tuning. Amazon OpenSearch Service has long supported both lexical and vector search, since the introduction of its kNN plugin in 2020. With OpenSearch’s Search Comparison Tool , you can compare the different approaches.

Data Processing 98

Data Processing Visualization Experimentation Metrics 98

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 120

Testing Experimentation Management Metadata 120

CIO Business Intelligence

JUNE 11, 2024

At a recent Coffee with Digital Trailblazers event that I host on Fridays at 11 am ET, we debated not if but when and how top CIOs should rebrand and recast IT’s mission. Recasting the mission requires a steadfast commitment to retaining top talent, fostering transformational leadership, and nurturing the careers of digital trailblazers.”

IT 136

IT Digital Transformation Broadcasting Business Objectives 136

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 Experimentation Modeling 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

OCTOBER 8, 2024

By 2023, the focus shifted towards experimentation. Typically, organizations approach generative AI POCs in one of two ways: by using third-party services, which are easy to implement but require sharing private data externally, or by developing self-hosted solutions using a mix of open-source and commercial tools.

Optimization 75

Optimization Experimentation Metrics Enterprise 75

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

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

AWS Big Data

JUNE 12, 2024

This module is experimental and under active development and may have changes that aren’t backward compatible. This module provides higher-level constructs (specifically, Layer 2 constructs ), including convenience and helper methods, as well as sensible default values. cluster = aws_redshift_alpha.Cluster( scope, cluster_identifier, #.

Data Architecture 111

Data Architecture Cost-Benefit Data-driven Experimentation 111

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 125

Strategy Cost-Benefit Testing Sales 125

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

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.

Visualization 113

Visualization Cost-Benefit Modeling Machine Learning 113

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 89

Cost-Benefit Manufacturing Modeling Interactive 89

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 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

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

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

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 Data Science Machine Learning Data-driven 105

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

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 Data Science 98

O'Reilly on Data

FEBRUARY 13, 2025

Designing an effective AI learning path that worked with the Head First methodwhich engages readers through active learning and interactive puzzles, exercises, and other elementstook months of intense research and experimentation. In fact, I realized that I could test my exercises by pasting them verbatim into an AI.

Testing 168

Testing Experimentation Data Processing Interactive 168

CIO Business Intelligence

FEBRUARY 5, 2025

How to know what to prioritize AI has made remarkable strides over the past year, but its adoption has also uncovered a host of shortcomings like dangerous hallucinations and expensive implementation. Companies need to focus on goals, testing, and people in their effort to determine if an AI project is viable.

Cost-Benefit 117

Cost-Benefit ROI Metrics Measurement 117

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 138

Marketing Analytics Machine Learning Strategy 138