Real-time Analytics News for Week Ending October 15
In this week's real-time analytics news: AWS and BMW partner to manage and analyze data from connected vehicles.
A Chatbot Without Personalization Has No Purpose. Here’s Why!
When chatbot personalization is done right, enterprise chatbots provide the best and fastest solution to specific issues rather than a solution to previous iterations of an issue.
Real-time Analytics News for Week Ending October 8
In this week's real-time analytics news: Accenture is with Mars to modernize its global manufacturing operations with AI, cloud, edge technology, and digital twins.
Real-time Analytics News for Week Ending October 1
In this week's real-time analytics news: Qlik strengthened its partnership with Databricks expanding the ability of customers to leverage the cloud.
Real-time Analytics News for Week Ending September 24
NVIDIA introduced the NVIDIA IGX platform for high-precision edge AI, bringing advanced security and proactive safety to sensitive industries such as manufacturing, logistics, and healthcare.
Conversational AI: Improved Service at Lower Cost
Gartner predicts that conversational AI will reduce contact center agent labor costs by $80 billion by 2026.
Why AutoML Should Become a Key Tool for Enterprises
With the potential to democratize AI and ML, AutoML is the answer many enterprises across industry verticals have been seeking to take AI projects from pilots to scaled deployments.
Why Do AI Projects Fail and How Do You Avoid That from Happening?
In this Q&A interview, Aible and Intel provide insights not only on how to avoid AI project failures but how they deliver guaranteed results from AI within 30 days.
Empowering the AI Enterprise in the 5G Era
The proliferation of 5G wireless networks will encourage communities of AI application developers to create new solutions that take advantage of 5G speed and low latency.
Real-time Analytics News for Week Ending August 13
In this week's real-time analytics news: The NSF and Amazon awarded about a dozen organizations $9.5 million for projects that seek to root out unfairness and bias in AI and ML.