Zwolf, The world’s leading enterprise hyper-automation company today announced new generative AI capabilities with the release of the 3.0 version of its microservices low-code no-code (LCNC) platform. The new middleware – Z-wall – expands Zvolv’s already extensive enterprise automation and app building capabilities, adding built-in capabilities that enable next-generation enterprise AI apps to harness the power of generative AI.
The announcement of these new Zvolv capabilities took place at Zvolv’s annual CXO conference this month at Mumbai’s glamorous JIO World Convention Center, bringing together more than 50 CIOs from leading companies in industries such as retail, aviation and logistics. CEO attended. Zvolv Ecosystem Partner.
Enterprises today are rushing to adopt generative AI in everything from increasing productivity, enhancing decision-making with data-driven insights, and improving customer and employee experiences. However, privacy and scalability concerns are preventing organizations from fully incorporating AI into their applications. The risk of sensitive data leakage is high, and implementing a private GPT model with proper controls over usage, reliability, and compliance can be time consuming and costly. With the rapid evolution of generative AI technology and scarcity of developer resources, a platform approach to developing new AI applications will lead to faster time to market (TTM), lower total cost of ownership (TCO), Risk is eliminated.
Combining Zvolv’s hyperautomation microservices platform with the Z-wall AI orchestration engine enables businesses to rapidly deploy the world’s best AI and automation capabilities into their products and services, ensuring customers are safe and trustworthy. methods will be able to deliver on the promise of generative AI.
“The era of web/mobile apps is now evolving into the era of AI apps, which will represent the majority of the more than 500 million enterprise applications that will be developed in the next three to four years. From point-and-click-based DIY (Do it Yourself) capabilities to more conversation-based GID (Get it Done) capabilities in AI apps of the future, today’s new workforce will Already accustomed to leveraging generative AI on the side, we expect the same level of intelligence and experience in our workplace applications: combine general and fine-tuned intelligence in LLM (Large Language Model) models Leveraging it, AI apps are inherently smarter, more efficient through advanced automation, and best of all, provide a more human-like, conversational user experience.” Hardik Gandhi, CEO of Zvolv.
Generating AI for Zvolv Microservices Platform
By integrating generative AI into the Zvolv microservices platform, enterprises can now build AI apps in hours with little developer dependency and a holistic approach that puts privacy, security, and ethics at the core of their transformation. Drive your enterprise AI strategy.
- Go beyond traditional graphical interfaces and integrate new human-like conversational and logical reasoning capabilities into your application interfaces.
- Empower business users to interact with their data and gain faster, contextual access to organizational knowledge and deeper AI-driven insights.
- Journey of AI-assisted app building by citizen developers who can develop more intelligent and deeper automation compared to traditional LCNC builders
“Today, we spend an average of 100 hours building traditional enterprise apps, and our business technologists drive 60-80% of the building process with basic training from Zvolv Academy. LCNC builders drive an assisted build journey, enabling citizen developers to build end-to-end within 10-20 hours and integrate more AI-driven automation into their applications. increase.” Sujoy Chakravarty, Chief Operating Officer, Zvolv.
What does the Z-wall AI orchestration engine do?
The newly announced Z-wall AI orchestration engine is an essential component enabling the future of enterprise AI, not only separating corporate private data from public LLM models, but also enabling it in a variety of new enterprise AI apps. Manages the use of generative AI.
- Acts as a conduit between enterprise records and contract systems accessed via the Zvolv microservices layer and various supported LLM models, private or public, managing access, ethics and cost optimization.
- Map the knowledge of enterprise people, data, and processes, and enable embedding, chunking, summarization, semantic search, masking, logging, and other necessary data manipulations to enable effective generative AI use. increase.
- Integrating numerous AI and traditional apps into a unified enterprise AI “super app” and coordinating information and actions across the enterprise reduces app fatigue for end users and improves user experience many times over. increase.
Sri Srinivasan, Zvolv Chief Revenue Officer, “This new world of generative AI apps will enable organizations to become leaner, more efficient, and at the same time adapt quickly to change. , which is much faster and less error-prone than retraining and reskilling of human resources, allowing employees to focus on more strategic activities while being more tactical with the help of AI. We can get a lot of the job done.The rate of change in technology is changing so much that we can no longer rely on humans to do everything ourselves.”
