Uncover the truth behind Salesforce’s Tableau Einstein integration with Agentforce, revealing insights on the gap between marketing promises and technological capabilities.
When all you have are large language models (LLMs), everything looks like a prompt. Enterprises must avoid falling into the trap of the law of the instrument, a.k.a. Maslow’s Hammer.
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.
Uncover the game-changing capabilities of AI agents in revolutionising automation strategies for businesses.
Good artificial intelligence (AI) governance goes beyond data governance in multimodal large language models (LLMs). It isn’t just about avoiding pitfalls – it’s about unlocking the full potential of this transformative technology.
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