2024-05-23

Jellyfish makes its debut at Google Cloud AI Day Live + Labs, Copenhagen

Jellyfish

JELLYFISH INSIGHTS

On 23rd May, Jellyfish proudly joined VELUX on stage at the prestigious Google AI Day in Copenhagen, marking our debut participation in this exciting event.

Hosted at the iconic Palads building, the day was filled with insightful presentations focused on AI and Cloud solutions. With our client VELUX, we presented a compelling success story, detailing our implementation strategies and the considerations we navigated throughout the process. Later, we delved deeper into our Cloud for Marketing initiatives, showcasing how we integrate AI and cloud solutions across marketing and organizational teams.

Our participation in Google AI Day Copenhagen has set a new benchmark for our future engagements in the AI and cloud solutions landscape. If you want to learn more these solutions in this region, or our Google Cloud Training, please contact john.neergaard@jellyfish.com.

Discover our Google Cloud Training offers and start your learning and certification journey now

Learn more

Read More

5 Feb 2025Victor Batista

Power Up PMax plays with AI insights

Marketers are realizing that they have a new audience: the Large Language Models (LLMs) that help millions of customers find, compare, and choose brands every single day. As more LLMs use the open web to inform and refine their recommendations to real people, marketers can expand their Google Performance Max (PMax) strategy to ensure they’re engaging every possible prospect today and priming LLMs to recommend their brand tomorrow.

Read Article
5 Dec 2024Jellyfish

AI is influencing consumer behavior, so the way LLMs 'think' about your brand is more important than ever

Share of Model™ Platform a single-view interface enables companies to analyze how different Large Language Models (LLMs) perceive their brands, products and services. Helping brands optimise for stronger AI-driven results.

Read News
30 Oct 2024

Leveraging AI to deliver quality content faster and more cost-efficiently

M&S was looking to expedite content delivery of product descriptions from 24 hours to same-day turnaround and realise savings in their annual production budget.

See Case Study