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GenerativeAI is poised to bring about a significant transformation in the enterprise sector. According to a study by McKinsey, the application of generativeAI use cases across various industries could generate an astounding $2.6 Many have a well-defined AI strategy and have made considerable progress.
GenerativeAI is revolutionizing how corporations operate by enhancing efficiency and innovation across various functions. Focusing on generativeAI applications in a select few corporate functions can contribute to a significant portion of the technology's overall impact.
8 AI trends that will define product development By Greg Sterndale Posted in Digital Transformation , Product Published on: February 12, 2025 Last update: February 10, 2025 From modular architecture to agentic AI How product development will evolve in 2025 & beyond In product development, change is the only constant.
The acceleration in the Text AI space has a precedent, from way back in August 2022, in what I call the Art AI space. Text AI and Art AI are close relatives within the AI family tree, both falling under the branch called GenerativeAI.
And what makes you a builder is not just your ability to code, sketch an illustration, or write copy for a marketing campaign; it’s that you handle everything involved in taking an idea to a finished product. Is AI capable of thinking like a product manager and running a product dev project from zero to shipped? You are a builder.
This quarter has seen the company roll out a series of generativeAI tools for creators and the launch of a new audiobook product as it seeks to expand outside of traditional music and podcasts. Without simulation software, attempting to collect data sets about physical locations and human characteristics could take years.
In 2022, Modus acquired softwareengineering company Tweag (which I founded in 2014) and further enhanced its open source footprint. Tweag — Modus Create’s open source program office (OSPO) I founded Tweag to improve the experience of developers and data scientists throughout the software development lifecycle.
billion , streamlining and automating clinical development processes are perfect use cases for AI. AI use cases are enabled by “intelligent applications” – software applications that incorporate generative, classification, and predictive AI models under the hood to power one or more of their features.
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