98% of global executives agree AI foundation models will play an important role in their organizations’ strategies in the next 3 to 5 years.
Generative AI could save USD 300 Billion work hours and could add up to USD 20T to global GDP by 2030.
83% of top US Executives anticipate increasing investment in generative AI by 50% or more in the next 6-12 months.
Accelerate drug discovery by predicting potential drug candidates and optimizing clinical trials. Provide personalised treatment plans using patient data and predictive analytics, improving patient outcomes. Streamline medical documentation, reducing administrative burden and focus on patient care
Enhance personalized shopping experiences, tailoring recommendations to individual preferences and boosting customer satisfaction. Optimize Dynamic Pricing strategies to ensure competitive pricing and maximize profits. 24 * 7 customer support through AI chatbots to elevate service quality and customer experience
Provide personalized financial advice to enhance customer experience and decision making. Enhance fraud detection to protect customers from potential threats. Empower staff to provide accurate responses to customers by sifting through internal knowledge base.
Provide personalized Travel itineraries and real-time travel updates, ensuring a smooth experience for customers. Simplify booking and provide smart shopping options, enhancing convenience for customers. Improve customer service with instant support from AI- powered chatbots and virtual assistants
Enable natural language queries for real-time monitoring of machine- generated events, improving response times and efficiency. Perform document search and synthesis for service instructions and product manuals. AI-driven predictive maintenance helps in identifying potential equipment failures before they occur, minimising downtime
Automate routine tasks, schedule meetings, manage emails, and provide reminders, freeing up employees to focus on more strategic work. Personalize the user experience by learning preferences and behaviours, leading to more effective and tailored support for individual needs
Enhance responses from your Gen AI applications by applying Agentic Reasoning techniques such Reflection, Tool Use, Planning and Multi-agent collaboration.
Enhance your AI response with Retrieval-Augmented Generation (RAG), providing valuable context from extensive databases for generating accurate responses. RAG ensures your AI delivers smarter and more pertinent answers
Improve safety of your Gen AI applications by implementing various Guard Rails such as Prompt Injections, Tone/Language Checks, Hallucination Control. These measures ensure your AI generates accurate, appropriate, and reliable
Explainable AI helps Identify, Assess, and Fine-tune agent reasoning by making AI decision processes transparent and understandable. This is essential for ensuring trust, improving model performance, and enabling effective debugging and optimization.
Integrating LLMOps into a GenAI framework ensures the efficient Deployment, Monitoring, and Maintenance of large language models. This is crucial for optimising performance, ensuring reliability, and managing the lifecycle of AI applications
