Simplify IT and security with a single endpoint management platform
Automate the hardest parts of IT
NinjaOne automates the hardest parts of IT, delivering visibility, security, and control over all endpoints for more than 20,000 customers.
The NinjaOne automated endpoint management platform is proven to increase productivity, reduce security risk, and lower costs for IT teams and managed service providers. The company seamlessly integrates with a wide range of IT and security technologies. NinjaOne is obsessed with customer success and provides free and unlimited onboarding, training, and support.
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Gen AI apps are built with MongoDB Atlas
Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
‘intelliworm’ is a prototype simulation of a Intelligent Species of a common earth worm,which inherits human like decision making capabilities through Neural Network intelligence representation,all developed by integrating .NET with Lisp and Yacc.
Set of tools and libs for
managing structured data
in a very flexible way:
Imp./Exp. ASCII, XML, SQL,
PS, Tex/LaTex, RTF
GUI: X-Windows, MS-Windows
Interface to C++, DBs, Perl,
PHP, Java, TCP/IP
LISP-like interpreter
written in C++ using C-LIB
Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
ScenConnect shows scenarios as networks of situation and event tag sets, for fast comparisons. It links scenarios to tags, scores, and other metadata, creating situationals suitable for search, mining, machine learning, and planning.