Latest Advisory
Generative AI in the Enterprise: Buy, Build or Platform?
Ready-made GenAI offers speed but limits customisation. Building in-house allows bespoke solutions but demands time and risk. AI platforms provide a hybrid path for rapid, tailored deployment.
Generative AI in the Enterprise: Buy, Build or Platform?
Ready-made GenAI offers speed but limits customisation. Building in-house allows bespoke solutions but demands time and risk. AI platforms provide a hybrid path for rapid, tailored deployment.
VENDORiQ: Transformative Workflows – Insights on Adobe’s Firefly Video Model Announcement
Adobe’s Firefly Video Model is reshaping content creation with advanced generative AI capabilities, revolutionising digital workflows.
IBRS Panel Discussion on CIO Directions
IBRS has conducted numerous interviews and case studies with high-performing CIOs. In this exclusive panel and Q&A session, we detail high-performing CIOs’ key traits and practices, how they secure budgets, prioritise projects and work with the board.
Architectural Considerations for Generative AI Systems
Strategic architectural planning can optimise generative artificial intelligence (genAI) solutions for scalability and efficiency.
Enterprises Need AI Systems, Not Chatbots
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.
Best Practices for Deciding On & Implementing Microsoft Fabric
Organisations can streamline data operations and enable advanced analytics with this unified platform.
Large Language Models as an Integration Layer in Enterprise Applications
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.
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