How to make AI work in the enterprise

How to make AI work in the enterprise

How to make AI work in the enterprise PlatoBlockchain Data Intelligence. Vertical Search. Ai.

Webinar Anyone involved in devising and implementing strategies, tools or operations for artificial intelligence (AI) and machine learning (ML) within their organization likely needs all the help they can get.

Research firm IDC has calculated that only 36 percent of enterprises actually succeed in completing and putting AI models into production, with nearly half of the rest failing to take them even past the proof of concept stage.

Overcoming that challenge is hard, but not impossible – organizations from multiple verticals with huge variations in AI/ML expertise have managed to find a way. One of those is Google, which will share its tips on making unified data and AI work for the enterprise in a webinar at 9am GMT on September 19.

The TechByte: The Basics of Google Cloud AI + new Generative AI features event will see Alessio Bagnaresi, Google Cloud’s EMEA Head of AI/ML Business Practice, answer your questions about how to address some the challenges involved in progressing your AI projects to successful fruition.

Alessio will also provide a rundown of Vertex AI, a cloud-based platform developed by Google Cloud that allows you train and deploy ML models and AI applications, and customize and scale large language models (LLMs) for use in your AI-powered applications. By combining data engineering, data science, and ML engineering workflows, Vertex AI has been built to help your teams collaborate using a common toolset to help them avoid common pitfalls and ensure those AI/ML projects don’t stall.

You can register to attend the TechByte: The Basics of Google Cloud AI + new Generative AI features webinar by clicking this link.

Sponsored by Google.

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