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Optimizely Partners with Google Cloud to Expand Generative AI Capabilities

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Optimizely Partners with Google Cloud to Expand Generative AI Capabilities

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CMS Critic Staff
3 mins
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The DXP is building on its partnership with the search and AI juggernaut, leveraging Google's LLMs and Vertex AI to develop proprietary capabilities across its product portfolio.

As generative AI continues to march its way across the digital experience stack, platforms are looking to public cloud providers like AWS, Azure, and GCP to help scale their innovation and get AI-powered products to market faster. 

Now, Optimizely – a leading digital experience platform (DXP) provider – has announced a new integration with Google Cloud’s large language models (LLMs) via Vertex AI, with the goal of building and launching new generative AI features. 

With this integration, Optimizely’s customers and product engineering teams will gain direct access to Google Cloud’s cutting-edge foundational models, which will dramatically increase the pace of innovation in a rapidly emergent field.

Sowing the AI seeds in Optimizely's model garden 

According to the company's press release, Google’s PaLM 2 models from Vertex AI will be used in Optimizely’s internal model garden, supporting rapid prototyping and development of generative AI features. This pairing will span the entire portfolio of Optimizely’s products, including content, commerce, and experimentation.

Coupled with Feature Experimentation, Optimizely engineers can strike the perfect balance between cost, quality, and response time across Google Cloud’s growing family of models, which are rooted in a 20-year legacy and commitment to responsibility, security and compliance. 

“As AI is adopted at an unprecedented clip, Google’s LLMs and Vertex AI ensure that we can innovate and implement the functionalities that our customers need to scale and deliver the best digital experiences,” said Aniel Sud, CTO at Optimizely. “With these models, we can quickly and consistently add new AI features that will greatly enhance our product suite. We are excited to highlight some of these new features at Opticon in October and we look forward to continually strengthening our partnership with Google.” 

Optimizely customers can expect upcoming features powered by Google Vertex AI to be far more fine-tuned for the intended use cases. 

Focusing on high-value AI use cases

On the AI front, Optimizely is exploring high-value use cases to bring generative AI to marketing and digital teams, empowering them to transform digital experiences for customers. These use cases include: 

  • A knowledge bot trained specifically on Optimizely’s technical documentation, so customers can utilize a chat interface to get instant answers to questions during implementation and use 
  • A variation generator for brainstorming, allowing Optimizely customers to utilize AI to generate new ideas when designing a test 

This innovative partnership builds upon the success of leveraging Google Cloud for Optimizely Web Experimentation and Feature Experimentation, as well as the availability of both products on Google Cloud Marketplace.  

“Users of Optimizely’s digital experience platform will benefit from new capabilities, powered by Google Cloud’s Vertex AI,” said Rodrigo Rocha, Head of Global AI & ISV App Partnerships at Google Cloud. “By building with Vertex AI and expanding access to Google Cloud’s powerful models, Optimizely will enable its customers to build new online experiences and products that add real value with generative AI.” 

Partnering to power experimentation with AI

Optimizely and Google have already cemented a strong partnership. In February of 2022, the companies jointly announced a strategic initiative to move Optimizely's experimentation to the Google Cloud, leveraging a secure and scalable infrastructure for investments in AI and analytics. 

In 2022, Optimizely also achieved over $1B in incremental revenue for its customers. This partnership with Google Cloud and innovation with Vertex AI will continue to allow businesses to make data-driven decisions and scale their digital experiences. 

Artificial Intelligence
Digital Experience
Cloud

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