Maximise your artificial intelligence (AI) investments by strategically aligning platform choice with your organisation’s AI maturity level.
To truly harness the transformative power of artificial intelligence (AI), enterprises must shift their focus from standalone AI applications to comprehensive AI systems that are deeply integrated into their existing workflows and processes.
Embracing large language models as an integration layer can enable enterprise application development by providing a natural language interface between diverse systems, APIs, and human users. This approach allows seamless data flow, intuitive user experiences, and rapid prototyping of complex applications, dramatically reducing development time and costs while opening new avenues for innovation and process optimisation across the organisation.
Artificial intelligence (AI) bias threatens to undermine the fairness and effectiveness of enterprise AI solutions. We examine key types of AI bias, their real-world impacts, and practical mitigation strategies – focusing on examples from Australia, New Zealand, and India. Learn key approaches to develop more equitable AI systems that serve diverse populations and unlock the full potential of AI for your business.
As large language model (LLM)-based virtual assistants continue to permeate various aspects of enterprise operations, measuring their effectiveness becomes crucial and more complex. The key lies in developing a holistic measurement framework that combines traditional metrics with novel approaches tailored to each specific use case.
Unlock the power of seamless data integration for AI agents, enhancing customer service and operational efficiency.
Uncover the transformative power of Salesforce’s latest AI models in vendor activities, reshaping autonomous agents and elevating customer engagement.
Does your organisation know the potential of large language models (LLMs) with advanced techniques? Enhance artificial intelligence (AI) capabilities for improved performance and accuracy.
A comprehensive guide to developing an AI strategy that resonates with your board, focusing on realistic expectations, quick wins, service evolution, and best practices for transitioning from pilot to production.
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