#MachineLearning
Cloud ready networks for government: Connecting everyone and everything
By: Nick Michaelides, SVP of U.S. Public Sector, Cisco Co-Author: Grimt Habtemariam, Federal Cloud Strategist, Cisco We all understand the benefits of moving government to cloud. Especially the added value of better security for data and new capabilities that can support the large variety of…
Operationalizing AI/ML
A recent study shows that, up to 85% of trained machine learning models are not deployed. Clearly, there needs to be a close collaboration among data scientists, line of business, IT, and others to ensure that data science projects succeed (instead of being just a science fair project). Yet, we cont…
Artificial Intelligence Partner Opportunity
A short time ago I had the opportunity to participate in the AI Partner and Customer events that we had in our Innovation Centers in Paris, London and Berlin. The excitement and interest of both our customers and partners was palpable. You might have seen some of the headlines in the news around Art…
Optimizing Cloud Resources + Reducing Your Carbon Footprint with TimeBox
At Cisco Engineering, innovation isn’t just something we do; it’s a way of life. With tens of thousands of developers churning out an equal number of cutting-edge solutions at high velocity, Cisco truly is at the helm of technological innovation. For context, Cisco has a vast amount of DevOps activi…
Machine Learning – using DataRobot to scale humans
Analysts suggest that 90 percent of the world’s data was generated within the past two years, but only a small percentage of that data is actually used to drive insights. AI promises us a world in which cars can predict when to swerve, to avoid hitting mothers crossing the street with their babies.…
The 5 Technologies that will Change Networking in 2019
The networking field is changing fast. This year, several emerging technologies will fundamentally impact how businesses and their employees connect. The good news is that each technology also represents a solid opportunity to improve some aspect of how a company runs – from network efficiency all t…
Benchmarking ML Workloads
“If you can not measure it, you can not improve it” — Lord Kelvin The field of machine learning is progressing at a break-neck speed and new algorithms and techniques as well as performance improvements are being published at such a high frequency that it is impractical to…
Defeating Polymorphic Malware with Cognitive Intelligence. Part 3: Static Analysis
Nowadays, everyone likes to talk about the use of machine learning in cybersecurity. Almost every security vendor leverages machine learning in one form or another. Organizations employ security teams with data analysis skills to automate threat hunts. But what does it really take to build a scalabl…