Remove thoughtworks
article thumbnail

UK announces over £100M to support ‘agile’ AI regulation

AI News

The investment comes at a vital time, as research from Thoughtworks shows 91% of British people argue that government regulations must do more to hold businesses accountable for their AI systems. The public wants more transparency, with 82% of consumers favouring businesses that proactively communicate how they are regulating general AI.

Big Data 245
article thumbnail

First ODSC Europe 2023 Sessions Announced

ODSC - Open Data Science

ML Governance: A Lean Approach Ryan Dawson | Principal Data Engineer | Thoughtworks Meissane Chami | Senior ML Engineer | Thoughtworks During this session, you’ll discuss the day-to-day realities of ML Governance. Some of the questions you’ll explore include How much documentation is appropriate?

professionals

Sign Up for our Newsletter

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

article thumbnail

“The Other” Enterprise Generative AI Platforms

TheSequence

🛠 Real World ML LLMs at Thoughtworks Global software development firm Thoughtworks shared best practices learned while building Boba, a co-pilot for product strategy and ideation à Read more. 📡AI Radar Cloud platform Digital Ocean announced the acquisition of AI/ML cloud provider Paper Space for $111 million.

article thumbnail

Real World Programming with ChatGPT

Flipboard

In this post, Fowler describes the process Xu Hao (Thoughtworks’ Head of Technology for China) used to build part of an enterprise application with ChatGPT. At a glance, it’s clear that the prompts Xu Hao uses to generate working code are very long and complex.

ChatGPT 167
article thumbnail

Data platform trinity: Competitive or complementary?

IBM Journey to AI blog

Data mesh as a concept is introduced by Thoughtworks. But it allows existing databases and data platforms to participate in a network, where a data catalogue or data marketplace can help in discovering new assets. Metadata plays a key role here in discovering the data assets. Data mesh: A mostly new culture.

article thumbnail

Model hosting patterns in Amazon SageMaker, Part 1: Common design patterns for building ML applications on Amazon SageMaker

AWS Machine Learning Blog

For this purpose, we’re borrowing the concept of fitness functions , which was coined by Neal Ford and his colleagues from AWS Partner ThoughtWorks in their work Building Evolutionary Architectures. Deciding on the right hosting option is important because it impacts the end-users rendered by your applications.

ML 72