Remove Document Remove Experimentation Remove Measurement Remove Testing
article thumbnail

The early returns on gen AI for software development

CIO Business Intelligence

Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others. The maturity of any development organization can easily be measured in terms of the size and type of investment made in QA,” he says.

Software 131
article thumbnail

Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Since ChatGPT is built from large language models that are trained against massive data sets (mostly business documents, internal text repositories, and similar resources) within your organization, consequently attention must be given to the stability, accessibility, and reliability of those resources. Test early and often.

Strategy 290
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Bringing an AI Product to Market

O'Reilly on Data

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Without clarity in metrics, it’s impossible to do meaningful experimentation. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ).

Marketing 362
article thumbnail

Try semantic search with the Amazon OpenSearch Service vector engine

AWS Big Data

Lexical search looks for words in the documents that appear in the queries. Background A search engine is a special kind of database, allowing you to store documents and data and then run queries to retrieve the most relevant ones. OpenSearch Service supports a variety of search and relevance ranking techniques.

article thumbnail

Amazon OpenSearch Service search enhancements: 2023 roundup

AWS Big Data

Lexical search In lexical search, the search engine compares the words in the search query to the words in the documents, matching word for word. Semantic search doesn’t match individual query terms—it finds documents whose vector embedding is near the query’s embedding in the vector space and therefore semantically similar to the query.

article thumbnail

The pandemic pivot: 5 key leadership lessons that will last

CIO Business Intelligence

The early days of the pandemic taught organizations like Avery Dennison the power of agility and experimentation. The team was helped with live augmented reality annotations to document each step. “We We are just starting to come back into the office, but in six months we’ll have a much better measure” of efficiencies gained. “I

article thumbnail

CIOs press ahead for gen AI edge — despite misgivings

CIO Business Intelligence

We’re seeing lots and lots of pilots,” says Gartner AI analyst Arun Chandrasekaran, who notes content creation, document summarization, sentiment analysis, and enterprise search chief among the initial use cases. A recent survey of nearly 1,000 IT decision-makers conducted by Foundry underscores this.

Risk 141