Training a machine-learning model to effectively perform a task, such as image classification, involves showing the model thousands, millions, or…
The role of the AI engineer is rapidly evolving and gaining importance, and will be key to many companies’ adoption…
It's clear that Oracle is looking to use AI to compete with Salesforce, as well as fend off startups such…
These AI startups are disrupting a variety of healthcare areas, from drug discovery and operational efficiency to disease detection.Read More
AI is very promising, but we need to make it simple to ensure it's truly smart every step of the…
Reinforcement learning is the subset of ML by which an algorithm can be programmed to respond to complex environments for…
A new study by Replicant shows 95% of contact centers have already adopted, are implementing, or plan to use automation…
For the elderly, AI can enable independence and mobility, reduce need for caregivers, and detect important changes in health and…
There is likely no future without AI. Ethical development and use of AI should not be contentious — it is…
A holistic approach, good governance, and internal lifecycle automation are key factors of success in implementing conversational AI.Read More