Ontotext

NOVEMBER 2, 2023

The data itself is stored in a way that is not optimal for extracting insight. It can be accomplished at a fraction of the cost of what organizations spend each year supporting the vast industry of data integration workarounds. This is partly because integrating and moving data is not the only problem.

IT 69

IT Cost-Benefit Data-driven Technology 69

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. 46% of survey respondents in 2024 showed a preference for open source models.

Cost-Benefit 90

Cost-Benefit Modeling Manufacturing Interactive 90

CIO Business Intelligence

MAY 1, 2024

Pilots can offer value beyond just experimentation, of course. McKinsey reports that industrial design teams using LLM-powered summaries of user research and AI-generated images for ideation and experimentation sometimes see a reduction upward of 70% in product development cycle times.

Cost-Benefit 143

Cost-Benefit Metrics Insurance Measurement 143

CIO Business Intelligence

APRIL 24, 2024

The first use of generative AI in companies tends to be for productivity improvements and cost cutting. But there are only so many costs that can be cut. CIOs are well positioned to cut costs since they’re usually well acquainted with a company’s digital processes, having helped set them up in the first place.

Sales 128

Sales Finance Experimentation Cost-Benefit 128

CIO Business Intelligence

MARCH 5, 2024

Many other platforms, such as Coveo’s Relative Generative Answering , Quickbase AI , and LaunchDarkly’s Product Experimentation , have embedded virtual assistant capabilities but don’t brand them copilots. Today, top AI-assistant capabilities delivering results include generating code, test cases, and documentation.

Cost-Benefit 124

Cost-Benefit Advertising Experimentation Software 124

IBM Big Data Hub

OCTOBER 20, 2023

These development platforms support collaboration between data science and engineering teams, which decreases costs by reducing redundant efforts and automating routine tasks, such as data duplication or extraction. AutoAI automates data preparation, model development, feature engineering and hyperparameter optimization.

Machine Learning 72

Machine Learning Manufacturing Cost-Benefit Deep Learning 72

CIO Business Intelligence

APRIL 5, 2023

Midjourney, ChatGPT, Bing AI Chat, and other AI tools that make generative AI accessible have unleashed a flood of ideas, experimentation and creativity. That turns generic documentation into conversational programming where the AI can take your data and show you how to write a query, for example.

Modeling 111

Modeling Testing Cost-Benefit Experimentation 111

The Unofficial Google Data Science Blog

JUNE 30, 2016

In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. Other estimators, such as those based on matching and subclassification, may benefit from the balancing property, but the discussion of those estimators is postponed to a later post.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Corinium

APRIL 25, 2019

Most enterprises in the 21st century regard data as an incredibly valuable asset – Insurance is no exception - to know your customers better, know your market better, operate more efficiently and other business benefits. Ideally the decision of how to protect data should be treated like any other data governance policy. That’s the reward.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

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. An index is a collection of documents with a common data schema and provides a way for you to store, search, and retrieve your vector embeddings and other fields.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Domino Data Lab

JULY 2, 2019

SQL optimization provides helpful analogies, given how SQL queries get translated into query graphs internally , then the real smarts of a SQL engine work over that graph. People look toward online resources such as StackOverflow to find out how to use APIs when the documentation doesn’t have an example that fits. SQL and Spark.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Domino Data Lab

AUGUST 26, 2019

When hyperparameters are also used for optimization and tuned for a specific dataset, they also impact predictive accuracy. Searching is a very general approach to solving or optimizing problems. To clarify these terms, some technical documents use the name actual argument/parameter and formal argument/parameter. Why do we care?

Testing 79

Testing Modeling Machine Learning Metrics 79

Domino Data Lab

AUGUST 22, 2019

Common natural language preprocessing options include: Tokenization: This is the splitting of a document (e.g., Execute gutenberg.fileids() to print the names of all 18 documents.) As we wrap up the section later on, we’ll apply the steps across the entire 18-document corpus. A major benefit of fastText. this chapter.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

O'Reilly on Data

MAY 11, 2020

The Entertainment” is not the result of algorithms, business incentives and product managers optimizing for engagement metrics. Television only lacked the immediate feedback that comes with clicks, tracking cookies, tracking pixels, online experimentation, machine learning, and “agile” product cycles. And the cycle goes on.

Modeling 188

Modeling Advertising Recreation/Entertainment Metrics 188