VENDORiQ: Adobe Express – Enabling Content Creation at Scale
Adobe Express simplifies content creation processes, enabling efficient and on-brand solutions for all teams.
Adobe Express simplifies content creation processes, enabling efficient and on-brand solutions for all teams.
If you are looking to improve your project delivery approach a good starting point is to have projects use a project initiation document (PID).
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?
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.
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.
Adobe’s Firefly Video Model is reshaping content creation with advanced generative AI capabilities, revolutionising digital workflows.
Adobe’s latest updates in Photoshop and Illustrator are transforming creative workflows with cutting-edge technology and AI-powered features.
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).
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.