Engineering & AI

Mitigating bias in algorithmic decision-making for an equitable AI-driven future

In some ML applications, algorithmic bias can creep in — and it can quickly lead to unexpected outcomes. But how does it happen, and how can we avoid this?

David Dai October 27, 2022 • 6 min read

The CX Leader's AI & Automation Toolkit

Engineering & AI

Multilingual AI: An ensemble approach

Building multilingual conversational AI is a challenging top priority for brands today. But limitations can be avoided by adopting an ensemble approach.

Jérôme Solis October 12, 2022 • 6 min read

Engineering & AI

Kicking off Ada’s journey to agility

We don’t want to just “do Agile,” we want to “be agile.” Join us as we kick off our journey to agility and learn what it means for our Engineering Team.

Brandon Grady, Amy Boss, Janeé McConnell, Stephen Kawaguchi July 8, 2022 • 6 min read

Engineering & AI

How Ada Works Around the Pitfalls of Generative Language Models

Advancements have allowed ML teams to train large language models, but generative language models still has limitations.

Armand Silviu Gurgu, Christos Melidis, and Mandy Gu May 13, 2022 • 5 min read

Engineering & AI

How We Built Training Insights at Ada

Read this blog to learn why we built training insights and how it can enable you to deliver better customer experiences.

Salman Mohammed March 31, 2021 • 5 min read

Engineering & AI

Introducing Training Optimizer: A New Way to Improve Your Bot's Understanding Ability

Ada Product Manager Muhammad Farooq explains how our new Training Optimizer feature can empower teams to improve their CX.

Muhammad Farooq May 27, 2020 • 1 min read