Remember the hype around generative AI? It’s still here – but the conversation has shifted from exploration to the hard work of making gen AI’s potential a reality.
According to Forrester Research, we’re now in the “intentional AI” era for enterprises. The focus is less on novelty and more on strategic initiatives that deliver real business value. Their research shows that in 70 percent of enterprises, leadership of gen AI initiatives is moving from data science teams to technology organizations — a shift that signifies a leap from experimentation and pilots to practical applications that address specific business needs.
Deploying gen AI at scale unlocks its true potential, allowing its impact to ripple across the organization and empower a wider segment of the workforce. However, successfully scaling this technology presents a unique set of challenges. It requires a trusted partner like Google Cloud to deliver responsible gen AI solutions that bring tangible results.
Responsible AI: Building trust with enterprises
A critical challenge on the path to successfully scaling generative AI is building trust – both in terms of reliability and ethical usage.
According to Deloitte, lack of trust continues to be one of the biggest barriers to large-scale adoption and deployment of gen AI – in particular, trust in the quality and reliability of output supported by improved transparency and explainability.
Google Cloud and our technology partners adhere to strict data governance and security standards. Additionally, we emphasize explainability and transparency in generative AI outputs, ensuring you understand the “why” behind what your models create.
[Video: Watch how Elemental Cognition’s innovative reasoning engine on Google Cloud enables transparent, provably correct results from gen AI models.]
Why Google Cloud for enterprise generative AI?
Google has a head-start when it comes to enterprise AI, according to Forrester Research, earning the highest score of any vendor in its Q1 2024 Forrester Wave report on AI infrastructure. Years of experience with AI across our services empowers Google Cloud with a clear vision for enterprise AI. Our roadmap aims to democratize Google-scale capabilities, making complex AI accessible to all businesses, from startups to large enterprises.
Our AI leadership translates into four core strengths:
1. Vertex AI: your generative AI powerhouse: Vertex AI’s robust AI infrastructure is built for security and unmatched scalability. Whether you’re leveraging Google LLMs or models from our partners, Vertex AI ensures a seamless experience.
2. An always-on, AI collaborator: Google Cloud helps customers boost productivity with Gemini, our AI collaborator. Gemini provides users with AI-powered assistance where and when they need it in Google Workspace and Google Cloud, including development and operations, security management, data analytics, databases, and collaboration.
3. Data security and privacy: At Google Cloud, data security and privacy are paramount. We employ industry-leading practices to safeguard sensitive information.
4. A wealth of solution choice: Google Cloud offers generative AI tools for content creation and code generation, along with partner solutions available through Google Cloud Marketplace that maximize opportunities for innovation.
Strength in numbers: Google Cloud and our partners are better together
Google Cloud Marketplace isn’t just about Google Cloud. We cultivate an open, innovative ecosystem of partners offering solutions tailored to your needs.
The beauty of Google Cloud Marketplace is that it makes finding the perfect solution simple: a user-friendly platform where you can easily compare and deploy production-ready solutions.
Explore the Google Cloud Marketplace to discover a vast selection of specialized gen AI solutions to help you supercharge development, scale content, synthesize information, automate business processes, and build engaging customer experiences.
Our partner Labelbox, for example, produces the highest-quality training data for your generative models by providing an advanced platform for subject matter experts to collaborate and evaluate your data, leading to better results. (Watch: how Labelbox accelerates data labeling with foundation models and Vertex AI.)
For generative AI initiatives, the Weights & Biases AI developer platform provides a comprehensive suite of tools to train and fine-tune models, manage models from experimentation to production, and track and evaluate LLM applications. [Video: watch a demo of using Weights & Biases to fine-tune a large language model on Vertex AI.]
Meanwhile, Glean is revolutionizing search and generative AI capabilities for enterprises. Glean’s enterprise AI platform connects, secures, and understands all your enterprise data, to generate highly personalized answers grounded in your company’s unique enterprise knowledge graph.
Real-world impact: Partner success stories in action
Google Cloud partner solutions translate into tangible business benefits. For example, a global beverage company uses Typeface’s AI-powered content creation to generate personalized, on-brand product descriptions for restaurant partners serving their beverages. [Video: Watch how Typeface on Google Cloud helps companies create 10x more personalized, on-brand content.]
Ready to unlock the generative AI advantage?
Google Cloud Marketplace offers a trusted and powerful environment for enterprises to embrace generative AI. With our robust AI infrastructure, diverse partner ecosystem, and unwavering focus on responsible AI, you have everything you need to unlock the full potential of generative AI and transform your business.
Let’s embrace the future of AI, together.
Explore the five partner videos featured throughout this article (part of our Google Cloud Marketplace video series) and visit our partners on Google Cloud Marketplace to see how you can move from gen AI theory and experimentation to practical application at scale, today.
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