AI and the 4 Keys to its Success: Diving Deeper
Leaders responsible for achieving AI should be aware of the implications of four key “ingredients” for successful AI, as well as the reasons why Artificial Intelligence will become increasingly “mainstream”.
Data Gravity: Driving Design for Intelligent Mission Fabric
What is Data Gravity and what does it mean for artificial intelligence and machine learning (AI/ML) and government networks?
11 Rules of Innovation from Cisco CX’s Chief Architect
Discover 11 guiding principles Cisco CX's Chief Architect uses to drive innovation and digital transformation for some of the world’s largest companies.
AI and machine learning are here—is your workforce ready?
Retail banks are running with artificial intelligence and machine-learning technologies. Armed with these tools, they’re adding speed and ease to banking, completely transforming the customer experience.
Cisco Intends to Acquire CloudCherry to Enhance Cisco Contact Center Portfolio
CloudCherry will augment Cisco's contact center portfolio with advanced analytics, rich customer journey mapping, and sophisticated survey capabilities in our cloud, hosted, and on-premises solutions.
Artificial Intelligence and Machine Learning at the Edge
The opportunities for innovative solutions utilizing Inference at the Edge are great - smart cities, voice/image recognition, predictive maintenance in factories, collision avoidance....
Network Assurance with Machine Reasoning and Machine Learning
The AI technology landscape includes both ML and MR. The two provide complimentary capabilities and combined together they enable AIOps to cover all aspects of network assurance. ML captures the patterns in the data, and MR captures human expertise, facts and logic.
Cisco AI Network Analytics: Making Networks Smarter and Simpler to Manage
Cisco AI Network Analytics, within Cisco DNA Center, adds another layer of intelligence to intent-based networking, making networks even smarter, simpler to manage, and more secure.