Real-time AI Company DataStax has announced the launch of its new DataStax AI platform developed in collaboration with NVIDIA AI. The platform is targeted at enabling enterprises to build AI applications with enhanced accuracy and speed. According to the press release published by DataStax on its official website, this groundbreaking development is set to reduce AI development time by 60% by managing AI workloads 19 times faster than current capacities. This will make AI application development considerably smoother. The DataStax-NVIDIA platform is also capable of self-improvising these applications in response to customer engagement.
DataStax a Real-Time Solution for Physics Wallah: Sandeep Varma
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Sandeep Varma, Head of AI at Physics Wallah, the online ed-tech platform, stated that the DataStax AI platform will serve as a real-time solution for the company to cater with better efficiency to its millions of customers. According to Varma, the DataStax-NVIDIA collaboration upshot will pave the way for a more personalized, high-quality learning experience for over 20 million students in India. Physics Wallah has been offering Gen-AI-driven learning tools for students since 2016 with the vision to democratize education. The DataStax AI platform is believed to equip the AI-learning service provider to handle seamlessly a 50x surge in traffic with zero downtime.
Key Features of DataStax AI Platform
DataStax AI platform offers an all-in-one solution for enterprises in AI Application development leveraging enterprise data and customer usage. The primary functions of the product include simplifying the production lifecycle with the help of AI and boosting its accuracy.
AI Application Development with DataStax
DataStax’s AI platform built with NVIDIA AI resolves the limitations of currently available AI tools in streamlining the organizational workflow in larger organizations. Most of these tools serve only individual organizations with smaller-scale operations and lack the sophistication to address complex demands. The variability in the tech stack can be largely simplified with the introduction of a unified platform.
Enhancing Accuracy with DataStax
DataStax AI simplifies training or fine-tunes LLMs, SLMs, embedding models, and reranks models using NVIDIA NeMo Customizer and NeMo Evaluator. DataStax’s AI application development platform allows developers to control search and retrieval to personalize GenAI for individual customers.
DataStax AI Key Components
The key components of DataStax AI built in collaboration with NVIDIA include a DataStax Langflow platform and NVIDIA enterprise components like NeMo Retriever, Multimodal PDF Data Extraction, NeMo Curator, NeMo Customizer, NeMo Evaluator, NeMo Guardrails, and NIM Agent Blueprints.
Smarter and More Accurate AI Applications for Enterprises: Chet Kapoor
Chairman and CEO of DataStax Chet Kapoor expressed his excitement in introducing a platform that changes the trajectory of enterprise AI and helps redefine customer experience for them. Kapoor remarked that their new AI platform built with NVIDIA is focused on simplifying and expediting the path to production for companies that are increasingly striving to leverage AI in their operations. It will make it easier for these companies to provide their customers with the best and most accurate service in response to customer usage trends and patterns. Along with cutting costs significantly, the speed of development will be unmatched in the history of AI-aided customized application development. The data for AI company CEO asserted that it will make applications smarter and more accurate as customers keep using it.
New Levels of Customer Value to be Unlocked: Kari Briski
Kari Briski, Vice President of AI Software at NVIDIA shared his vision of the DataStax AI platform developed in partnership with NVIDIA AI. He noted that as enterprises across industries are leveraging AI to drive digital transformation, the newly launched platform will enable them to unlock new levels of customer value with tailored AI applications and AI-generated databases in record time.
