The Product Coalition

FEBRUARY 15, 2024

However, a new era of possibilities has dawned with the emergence of Generative AI (GenAI). Imagine a tool that not only automates tasks but also learns, adapts, and innovates — genAI development company, a technology that is already capturing significant attention. How can generative AI transform your business operations?

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Generative AI Data Visualization Reporting Tools Research Software 127

Arkenea

FEBRUARY 22, 2025

Key Takeaways Generative AI models can create synthetic images that are close to real images. Some of the prominent generative AI models used for imaging are DALL-E 2, GLIDE, and ChatGPT. Generative AI in healthcare helps doctors to create copies of patient data and automate form-filling tasks.

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Generative AI Healthcare Data Visualization Research Software 52

Modus Create

FEBRUARY 12, 2025

In this post, Ill cut through the noise to highlight 8 AI trends poised to define product development in 2025 & beyond. Instead, they come from a rigorous review of five years of client work, 2024 sales inquiries, analyst insights, and industry offerings. This will transform how businesses operate across functions.

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Arkenea

FEBRUARY 14, 2025

ChatGPT, a generative AI, can access terabytes of data in less than seconds to predict medical conditions. Physicians can streamline documentation procedures, and generate medical charts, and discharge instructions. ChatGPT, a newly launched generative AI by OpenAI took the world by storm in the first five days of its launch.

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ChatGPT Healthcare Data Visualization Research Software 52

Modus Create

DECEMBER 4, 2023

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. We structure our work internally through working groups, which collectively span all software development stages.

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Modus Create

NOVEMBER 15, 2024

An important first step for any executive is to complete a self-assessment of your readiness to deploy intelligent apps and take advantage of all that AI has to offer life sciences. To get the most out of AI, it must be tuned to or trained for your specific needs using your data. Data quality is fundamental to any AI project.

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