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Collaboration
Refers to achieving enterprise-wide participation in the AI development, test, and deployment process.
Enterprise-wide collaboration is only possible with the elimination of complex semantic programming skills such as R or Python. A no-code environment increases transparency which leads to greater confidence across all stakeholders thus, maximum adoption.
Data-driven
With ongoing global political unrest, erratic weather patterns, and pandemics, we have seen a paradigm shift in how a business operates; thus, doing things based on past experiences or practices will be problematic.
Data-driven AI develops predictive and prescriptive models that leverages all relevant data from both internal and external sources and irrespective of its format to inform and improve the performance of AI projects.
Multi-persona
Multi-persona AI simply refers to AI designed to mimic the behaviour of multiple people or “personas.” This can be achieved in several ways, including using multiple models or algorithms to simulate different personalities or training a single model on data from multiple individuals.
By simulating multiple personalities, these solutions can respond to user input in a more varied and engaging way rather than simply providing pre-determined responses, thus significantly increasing the adoption of these solutions.
A complete AI development & lifecycle management platform
Gather
Analyze
Model
Train & Test
Deploy
Operationalize
Genetica’s Cortex Cognitive AI Platform is a cloud-based end-to-end AI development & lifecycle management solution.
Cortex provides an intuitive UI which requires zero programming making it ideal for developing, deploying, and maintaining industrial-strength AI applications
Predictive models run autonomously, leveraging real-time data feeds from IoT devices, alerting different users at different times with relevant information and recommendations for their specific roles.
Genetica reduces both the cost and time to deploy by a factor of ten.
A PLATFORM ARCHITECTURED
TO ENSURE
RELIABILITY, SCALABILITY & RESILIENCY
A fully open source, distributed in-memory AI development & lifecycle management solution.
It operates as a self-organizing computing cluster with a high degree of linear scalability.
A runtime environment built for data-intensive, real-time applications.
ENTERPRISE-WIDE COLLABORATION
ENSURES
ENTERPRISE-WIDE ADOPTION
Our platform facilitates enterprise-wide participation in the development of AI applications.
Whether you are a data scientist, data engineer, data analyst, or line-of-business manager, our intuitive platform provides access to everyone to ensure the success of your AI projects.
Data Scientists & Data Engineers
- Spend less time writing repetitive code and more time on high-value AI activities.
- Eliminate and automate repetitive tasks.
- Transparency into the development process ensures enterprise-wide buy in & adoption.
Non-Technical stakeholders
- Have greater transparency into the underlying assumptions behind your AI models
- Actively participate in your AI development with intuitive, ‘no-code,’ ‘click n drag’ functionality.
- Collaborate with technical teams for faster and more confident AI.
Corporate
- Confidence that your data is secure.
- Comprehensive governance controls that minimize the risk of leveraging AI.
- Respond quickly and confidently to rapidly changing market conditions.
Enterprise Collaboration & Adoption