AtomAI is a comprehensive Industrial AI consulting toolkit to help manufacturers realize the trust potential of AI. Be ready with an AI informed team, enterprise-wide strategy, implementation blueprint along with a working prototype within 6 weeks.
AtomAI deliverables include:
1/2
Help executives, and managers understand the true potential of AI for the organization through best practices & case studies from similar organizations.
Identify the list of relevant Industrial AI use cases based on the business objective, process & equipment landscape.
Prioritize the list of use cases based on the business impact using ROI simulations.
Detailed blueprint & best practices to help organizations implement high impact industrial AI use cases
Section 1/2
2/2
Finalize the ideal technology architecture for AI implementation based on the existing tech landscape and maturity.
Experience the true potential of Industrial AI through a working prototype for a high impact use case
High level wireframes & designs for key AI use cases identified during the workshop.
Best practices and implementation guidelines for Industrial AI and manufacturing analytics.
Section 2/2
Realization of AI Projects
On inventory holding, labour productivity, quality improvement with a focus on the right AI use cases
Success rate of AI projects
Implementation of AI applications
Planning phase
5 Days
Workshop phase
1 Day
Analysis phase
3 Weeks
Roadmap phase
4 Weeks
A thought leader, speaker, innovator and a passionate AI technologist, Senthil has successfully conceptualized and launched award winning AI products. His domain expertise lies in Retail, CPG, Telecommunications, Education, Financial Services and Manufacturing. His core research areas of interest are NLG, NLQA, Augmented Analytics and Conversational AI. He has launched several award-winning AI and ML products in India and the US markets. Having his products featured by several analyst reports like Gartner and Forrester, he has hands-on experience in building large scale AI and Cognitive Computing practices for global markets. Managing AI deployments cutting across multiple countries has added another feather in his cap.
A data science leader with deep proficiency in AutoML, NLP and Computer Vision, Tejas is skilled in providing AI solutions to Fortune 1000 companies across verticals. His domain expertise includes Retail, CPG, Telecommunications, Education, Financial Services and Manufacturing. Tejas has consulted many Fortune 500 clients in areas of AI and Data Science. He mentors faculty and research fellows in AI, Machine Learning and Deep Learning in leading universities. With hands-on experience in architecting complex, large scale AI executions across globe, Tejas was a pioneer in launching AutoML and NLG products in India.
