WHITEPAPERS
[eBook] Driving value with Big Data and Machine Learning
According to research by Tractica, machine learning applications are expected to bring more than $107 billion in annual enterprise revenue by 2025,...
[eBook] Your Intelligent Automation Journey
Over the past ten years, the way we do business has changed irrevocably. Enterprise tasks, processes, and now entire roles are being...
[eBook] The Ultimate Guide to Digital-First Customer Service
Digital transformation for customer service is here, and it is not going away anytime soon. If brands want to stay competitive in...
How to Modernize Digital Customer Self-service
Customers increasingly use self-service as the first point of contact with customer service organizations. Positive self-service experiences lead to more satisfied and...
INNOVATION SPOTLIGHT
Best practices for implementing data science sandboxes
by Jelani Harper 21 January 2020
More often than not, the advanced analytics techniques that are enhancing data-driven processes across the enterprise are spawned from a data scientist’s sandbox. Even users that access cloud-based libraries of machine learning models on demand can credit their...
EXPERTS IN AI
Experts in AI: What's so special about data centers for AI?
03:57
Experts in AI: Succeeding in retail
12:28
Experts in AI: How Cambridge Consultants is addressing the lack of training data
03:34
Experts in AI: What is the connected enterprise?
04:44
AI Summit: IBM’s Dinesh Nirmal on the interplay between emerging technologies
07:50
AI Summit: Improving sustainability and profitability in retail through AI
12:08
AI Summit: In conversation with Allie Miller, AIconics’ AI Innovator of the Year
09:12
Justin Fier - Director of Cyber Intelligence & Analytics, Darktrace
04:16
AI Summit San Francisco: Beyond Deep Learning with Zoubin Ghahramani, chief scientist at Uber
15:07
