Google Cloud Marketplace with Dai Vu and Bob van Luijt - Weaviate Podcast #95!
May 7, 2024
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Dai Vu, a representative from Google specializing in cloud technologies, teams up with Bob van Luijt, Co-Founder of Weaviate. They dive into the evolving Google Cloud Marketplace, discussing advancements in AI and the rise of open-source models. The conversation highlights how AI-native applications are reshaping data services and cloud strategies. Dai shares his 'aha' moment in AI, while they both explore the future of specialized language models and the critical interplay of data gravity in cloud computing.
The landscape of cloud computing is evolving as open-source and hosted models create flexibility, allowing businesses to leverage both proprietary and open solutions.
AI-native applications represent a transformative shift in technology integration, fundamentally altering user interaction and driving broader adoption of AI-centric models.
Deep dives
Evolving Trends in Open Source and Cloud Computing
The rapid evolution of open source models and hosted models is reshaping the cloud computing landscape. Emphasizing customer choice, cloud providers are adapting their strategies to win workloads by offering both first-party and third-party services. This shift allows businesses to leverage open source solutions while also benefiting from proprietary services, promoting flexibility and accessibility. As companies modernize their applications, there is increasing interest in multi-cloud strategies, where organizations utilize open source technologies to optimize their cloud operations.
The Importance of Higher Layer Services
The focus is shifting from fundamental components like storage and compute to higher layer services in cloud infrastructures. This approach creates stickiness and preference for cloud platforms by enhancing user experiences and fostering application differentiation. Providers are keen on moving away from traditional metrics like compute hours to more comprehensive service offerings that incorporate AI and data-driven solutions. This transition is vital in attracting customers and driving platform adoption.
Changing Customer Expectations in AI Models
Current trends show that customers increasingly prioritize factors such as pricing, ease of use, and security over merely the quality of AI models. As many available models yield comparable outcomes, the focus is now on how effectively businesses can integrate these technologies into their operations. Organizations are looking to combine various AI models, be it proprietary or open source, in innovative architectures to better serve their specific use cases. Enhanced engagement with models will dictate the next steps for infrastructure providers as customers transition from experimentation to real-world applications.
The Emerging Paradigm of AI-Native Applications
The rise of AI-native applications signals a fundamental shift in how technology is integrated into business processes. Unlike traditional applications, which function independently of AI, AI-native solutions incorporate generative AI into their core functionalities, fundamentally changing user interaction. This transformation fosters new capabilities and efficiencies that were not possible before, pushing businesses to adopt AI-centric models more broadly. As organizations gain trust in AI technologies, the move from add-on features to fully AI-integrated applications is becoming a reality.
Hey everyone, thank you so much for watching the 95th Weaviate Podcast! We are beyond honored to feature Dai Vu from Google on this one, alongside Weaviate Co-Founder Bob van Luijt! This podcast dives into all things Google Cloud Marketplace and the state of AI. Beginning with the proliferation of Open-Source models and how Dai sees the evolving landscape with respect to things like Gemini Pro 1.5, Gemini Nano and Gemma, as well as the integration of 3rd party model providers such as Llama 3 on Google Cloud platforms such as Vertex AI. Bob and Dai continue to unpack the next move for open-source infrastructure providers and perspectives around "AI-Native" applications, trends in data gravity, perspectives on benchmarking, and Dai's "aha" moment in AI!
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