Can Cognitive AI Inspire Future Model Development?
Cognitive AI competencies will help unlock the capabilities for systems that are more explainable and capable of applying reasoning closer to humans
With recent technological...
Harnessing The Power Of AI-driven XDR
AI-driven XDR extends continuous threat detection and monitoring and automated response beyond endpoints to provide deeply contextual correlations
Many security professionals expect an uptick in...
Is AI Shifting The Human-In-The-Loop Model In Cybersecurity?
AI technology improves prediction accuracy to the point where an increasing number of activities can be fully automated. But experts say human defenders are...
Is DALL-E 2 The Next Big Revolution In AI Research?
The new model provides an outlook of how generative deep learning models might finally unlock new creative applications for everyone to use
Generative models are...
How To Humanise AI For Global Supply Chains
Despite investing millions in SaaS platforms, almost every organisation realised that they were ill-equipped to manage their just-in-time, multi-geography supply chains, labour shortages, pricing...
Cost Savings And Automation Are Driving AI Adoption
The greatest barrier to adoption remains limited AI skills, expertise or knowledge, says new IBM report
The adoption of artificial intelligence (AI) and its impact...
Are AI Algorithms Disrupting Our Reasoning Ability?
The patent filings for AI innovation in 2022 are 30 times greater than the filings in 2015, proof the AI gold rush is running...
Can AI And Blockchain Fix The Supply Chain?
AI and blockchain technology can provide deeper insights at a much higher frequency and granularity than ever
It’s not business as usual for supply chain...
Can Google’s PaLM Inspire Modern LLM Research?
PaLM’s performance demonstrates impressive natural language understanding and generation capabilities
One of the most dominant trends in AI, the infamous Large Language Model (LLM) comprises...
Why Synthetic Data Is Critical For AI Modelling
More organisations are turning to synthetic data to feed their machine learning algorithms. It’s an inexpensive alternative to real-world data
One certainty of deep learning...
