The Product Coalition
APRIL 17, 2023
Artificial Intelligence (AI) has greatly evolved in many areas, including speech and picture recognition, autonomous driving, and natural language processing. However, generative AI, a relatively new area, has become a game-changer in data generation and content creation.
The Product Coalition
FEBRUARY 15, 2024
However, a new era of possibilities has dawned with the emergence of Generative AI (GenAI). A recent study by Gartner revealed that more than 80% of enterprises will have used Generative AI APIs or deployed Generative AI-enabled applications by 2026, highlighting its potential to transform various functions.
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TechEmpower - Product Management
OCTOBER 9, 2023
Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. With Generative AI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day.
UX Planet
JANUARY 29, 2024
Exploring How AI Will Revolutionize Design System Creation, Maintenance, and Usage Design systems are an important part of every product app or website. Apart from the use and growth of design systems, the revolution of AI technology is here, and it will affect many places in our design process.
Mixpanel
APRIL 12, 2024
Ian should have no problem recognizing a builder when he sees one: Aside from his day job as Head of AI Governance Research at Credo AI , he founded the Ai Salon , a community focused on AI’s future impact that frequently hears from startup founders and other folks creating new AI products or ventures.
Modus Create
MAY 28, 2024
In our Conversations with Chief Innovators series, Larry explains that business leaders are concerned because AI “exhibits behaviors we might label as bad in humans.” As a result, he says, “We need to understand and quantify the risk profile of new solutions using generative AI.” But what does that look like for your business?
UX Planet
MARCH 2, 2024
This could result in time spent exploring human-centric problems without evaluating their practical AI solutions. Designed for Deterministic Systems: A deterministic system performs set tasks predictably, while a probabilistic system dynamically responds to inputs with uncertain outcomes. Gen-AI common use case 2.
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