IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models.

Machine Learning 73

Machine Learning Manufacturing Cost-Benefit Deep Learning 73

DataRobot Blog

MARCH 7, 2023

Organizations that want to prove the value of AI by developing, deploying, and managing machine learning models at scale can now do so quickly using the DataRobot AI Platform on Microsoft Azure. DataRobot is available on Azure as an AI Platform Single-Tenant SaaS, eliminating the time and cost of an on-premises implementation.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 91

Cost-Benefit Modeling Manufacturing Interactive 91

AWS Big Data

JANUARY 9, 2024

Traditional lexical search, based on term frequency models like BM25, is widely used and effective for many search applications. Semantic search In semantic search, the search engine uses an ML model to encode text or other media (such as images and videos) from the source documents as a dense vector in a high-dimensional vector space.

Cost-Benefit 94

Cost-Benefit Visualization Modeling Machine Learning 94

Ontotext

NOVEMBER 2, 2023

It can be accomplished at a fraction of the cost of what organizations spend each year supporting the vast industry of data integration workarounds. However, it will take effort to formalize a shared semantic model that can be mapped to data assets, and turn unstructured data into a format that can be mined for insight.

IT 69

IT Cost-Benefit Data-driven Technology 69

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 Measurement 103

AWS Big Data

JULY 26, 2023

Exploring the vector engine’s capabilities Built on OpenSearch Serverless, the vector engine inherits and benefits from its robust architecture. You can choose to host your collection on a public endpoint or within a VPC. Prior to GA, we plan to offer two features that will enable us to reduce the cost of your first collection.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. Using ML models to search more effectively brought the search space down to 102—which can run on modest hardware. Model-Driven Data Queries. The benefits of this approach (lower cognitive load, etc.)

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Occam's Razor

JUNE 4, 2018

Present a yummy spreadsheet that quantifies the cost of inaction , how much money you’ll lose by not delivering a 25% improvement every week. Yet, this incredible benefit was not a part of YouTube TV’s merchandizing strategy from day one. Not easy, but your business model has to change to survive.). Welcome to Nudging.

Strategy 124

Strategy Cost-Benefit Testing Sales 124