Latest Advisory
VENDORiQ: Salesforce’s Agentforce Testing Center Addresses an Urgent Need for AI in 2026
Explore how Salesforce’s Agentforce Testing Center is reshaping AI agent lifecycle management with cutting-edge testing capabilities.
VENDORiQ: Salesforce’s Agentforce Testing Center Addresses an Urgent Need for AI in 2026
Explore how Salesforce’s Agentforce Testing Center is reshaping AI agent lifecycle management with cutting-edge testing capabilities.
VENDORiQ: Adobe Express – Enabling Content Creation at Scale
Adobe Express simplifies content creation processes, enabling efficient and on-brand solutions for all teams.
VENDORiQ: Adobe Firefly’s Position in the Generative AI Landscape
Uncover how Adobe Firefly’s AI integration enhances creative workflows, offering user control, diverse output capabilities, and seamless integration with Adobe’s suite of tools.
Project Initiation Document (PID) Template
If you are looking to improve your project delivery approach a good starting point is to have projects use a project initiation document (PID).
Graph AI: A New Silver Bullet from AI Vendors?
The generative AI (genAI) hype cycle is currently experiencing its trough of disillusionment, particularly in the application of retrieval augmented generation pipelines to enterprise applications. Despite numerous attempts, these systems have struggled to reduce hallucinations in output to levels acceptable for enterprise use. However, amidst this challenging period, a promising approach is emerging: the fusion of knowledge graphs into AI applications. Will it deliver?
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.
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