Enterprise AI conversations right now happen around token-based pricing, loop engineering emerging as the next competitive frontier, and why manufacturing AI adoption starts with people, not technology. This edition of Konversation covers exactly these topics, keep reading to know more.
Top 3 Market Insights:
- GitHub Copilot moves to Token Based Pricing: We see a lot of AI platforms moving from per seat licensing to consumption-based billing with GitHub’s Copilot being the latest one. Token and cost optimization is a really important topic for most leaders this year. Drawing from our experience, we’re creating a white paper on this topic covering optimization and governance frameworks. Look out for the white paper or reach out to know how to build such a system.
- Loop Engineering Is the New Talk in AI Circles: Business executives have started noticing all the talks on loop engineering. Teams still treating AI as a chat interface are missing the big picture and competitive advantage will belong to those who build systems where AI continuously prompts, evaluates, and corrects itself. Should you be focusing on designing automated loops that orchestrate AI agents? Talk to our CTO, Ketan, who has some interesting thoughts on this topic.
- Change Management for AI Adoption in Manufacturing: A lot of folks in manufacturing fears about losing jobs due to AI. Leaders have started believing that successful AI adoption requires a planned human change program first. It makes shop floor colleagues feel like architects of the change (brought by AI) rather than casualties of it. We recently discussed the importance of co-designing AI workflows with workers in our latest podcast episode of Neural Networking with Konverge AI. That’s a must-watch. Stay tuned.
Konverge.AI – Under the Hood
Our Work Highlights:
- Insights From Our Chicago Roundtable: We recently hosted 35+ CXOs and senior from global Manufacturing and Pharma companies’ leaders across industries for an exclusive roundtable, Execs discussed around the future of supply chains, intelligent procurement, AI-driven demand planning, and roadblocks preventing AI ROI. Reach out to get an exclusive event report.
- AI Centre of Excellence & Governance: With AI CoEs moving from being a delivery function to a governance layer, they now determine how AI scales across the organization. We recently helped a corporate finance leader setup an AI Innovation Lab building the operating model, governance framework, and POC execution engine. Reach out to build a similar function for your org.
- AI-Driven Invoice Categorization at Scale: For a global infrastructure client managing 100M+ invoice line items across fragmented ERPs, we built a multi-stage AI classification system learning from invoice descriptions, supplier behavior, and historical transactions simultaneously resulting in 99.9% categorization accuracy and over $1 billion in spend correctly mapped in year one, reach out to our practice team.
EXPLORE MORE
