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.
Building Diversity and Inclusion – Insights for Leaders
While many IT organisations prioritise diversity and inclusion, under-representation of key groups remains a significant challenge. Leaders can drive change by examining their own biases, fostering a more inclusive organisational culture.
LLMOps Strategies and Frameworks for Enterprise Applications
DevOps. MLOps. LLMOps. Do IT teams need yet another buzzword? While it may be tempting to think of large language model ops (LLMOps) as a subset of machine learning ops (MLOps), that would prevent us from exploiting the real benefits of building enterprise applications with large language models (LLMs) – scale and speed of development.
VENDORiQ: Enhancing Creative Workflows – Adobe’s Latest Innovations in Photoshop and Illustrator
Adobe’s latest updates in Photoshop and Illustrator are transforming creative workflows with cutting-edge technology and AI-powered features.
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.
Large Language Models Should Not Be a Maslow’s Hammer
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.
Where is Retrieval Augmented Generation (RAG) Going 5 Years from Now?
This paper outlines the key technological developments driving changes in retrieval augmented generation (RAG). Mapping those changes on a non-linear trajectory, we predict the near future, and provide actionable recommendations for organisations to stay ahead of the curve in the rapidly evolving landscape of enterprise artificial intelligence (AI).