AI Engineering
Kanectify AI Engineering approach will help organizations build sustained value with AI faster than simply focusing on MLOps alone, making it possible to readily deploy models into production in a structured, repeatable factory-model framework to realize significant value.
The Right Team
The Right Tools
AI is a team sport, and AI engineering is a discipline for organizing this team, its tools, and its processes. MLOps, information technology (IT), software development, business leaders, subject matter experts, and even compliance, audit, and risk management must all work together to build an AI engineering competence that drives enterprise AI initiatives. AI engineering gives organizations a framework to address bottlenecks. The value of fully industrialized AI lies in the ability to rapidly develop, deploy, adapt and maintain AI models cross different environments within the enterprise.
Shrinking margins, managed care complexity, changing regulatory requirements, declining inpatient volumes, and increasing guarantor responsibility for healthcare costs are some of the challenges healthcare organizations are facing. It is imperative that your AI Engineering Framework is developed as effectively and efficiently as possible for your organization to meet your financial and strategic goals.
Kanectify have successful software development teams that can bring that wealth of knowledge and expertise to AI projects, enabling AI engineering platform that serves multiple team roles and provides AI-specific tools and innovations.
We strongly believe that enterprises at any level must evolve from running AI projects out of small data science teams to expanded AI teams that consist of data scientists, data engineers, ML engineers, software development, testing, architecture, IT Ops, and, of course, business stakeholders. This dramatically expands the scope of AI projects and the need for frictionless collaboration among all the AI team members.
AI ENGINEERING SERVICES
WHAT WE OFFER
As AI adoption continues to flourish, we’re now entering the “AI Engineering Era,” which will enable business and IT leaders to work together to deploy repeatable patterns for AI solution successAs AI adoption continues to flourish, we’re now entering the “AI Engineering Era,” which will enable business and IT leaders to work together to deploy repeatable patterns for AI solution success
