Latest Advisory
VENDORiQ: Neo4j’s Infinigraph – A Step Towards a Unified Graph Architecture?
Neo4j’s Infinigraph architecture unifies transactional and analytical workloads at scale, simplifying data ecosystems and enabling real-time insights for AI.
VENDORiQ: Neo4j’s Infinigraph – A Step Towards a Unified Graph Architecture?
Neo4j’s Infinigraph architecture unifies transactional and analytical workloads at scale, simplifying data ecosystems and enabling real-time insights for AI.
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.
Achieving ICT Project Prioritisation
Unlock the secrets to successful ICT project prioritisation with a proven framework.
Mitigating AI Bias for Equitable AI in the Enterprise
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.
Data Classification Template
Data security, data leakage protection, and role based access control are typically developed around a good classification of your data.