In this episode, we discuss how conversational AI can transform business processes to enable knowledge workers to spend less time doing routine processes and more time solving problems. We also explore the problem of proliferation of apps in user interfaces which requires constant learning from your teams and are often either used improperly or often not at all.
Our guest today is John Michelsen, CEO of Krista. Krista is a nothing like code intelligent automation platform that builds and integrates machine learning in apps so you can optimise business outcomes.
IoT ONE is an IoT focused research and advisory firm. We provide research to enable you to grow in the digital age. Our services include market research, competitor information, customer research, market entry, partner scouting, and innovation programs. For more information, please visit iotone.com
EP 204
EP 203 - Scaling AI: Revolutionizing Manufacturing Operations
EP 202 - Navigating IoT Solutions: A Dive into Digi's Evolution and Future
EP 201 - Tap, Pay, and Play: The NFC Forum's Guide to Contactless Technology
EP 200 - How Can Generative AI Revolutionize IoT Applications?
EP 199 - Bring Real-Time Tracking Costs Down, and Scalability Up
EP 198 - Rethink Database Design for the AI Era
EP 197 - Rework Kills Your Margins - Eliminate it with Cumulus
EP 196 - Realize Visibility and Resilience in Commodity Supply Chain Management
EP 195 - Affordably Manage the Deluge of Unstructured Data
EP 194 - Convert WiFi Signals into a Sensor Network
EP 193 - Managing the Transition from Selling Units to Selling SaaS
EP 192 - Making 3D Printing Scalable with Physics Modeling
EP 191 - Creating and Retaining a High-performing Software Team
EP 190 - Transitioning from CAPEX to OPEX-based Offerings with IoT
EP 189 - Empowering IoT's Edge and Its Game-Changing Innovations
EP 188 - Decentralizing the Commercial Energy Landscape
EP 187 - Building the industrial metaverse, step by step
EP 186 - How does IoT enable workflow streamlining in cold chains?
EP 185 - Bringing AI to the edge with analog computing
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