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In this episode of The Digital Shift, we focus on what happens before an Alteryx to Microsoft Fabric migration.
We cover workflow discovery, dependency mapping, complexity assessment, migration readiness, and how FLIP helps identify what can be automated before conversion begins.
Planning an Alteryx to Fabric migration? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead
In this episode of The Digital Shift, we explore how enterprises can deploy SAP AI agents for complex business workflows using Joule, Joule Studio, and approved integrations.
We cover prebuilt vs. custom agents, staged rollouts, AI Units pricing, permissions, guardrails, and human approval for high-risk actions.
Planning your SAP AI agent strategy? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead
In this episode of The Digital Shift, we explore how AI guardrails help enterprises control AI inputs, outputs, tool calls, and policies.
We cover guardrail types, implementation methods, agent tool controls, and how to measure accuracy, false positives, and latency.
Building safer AI systems for production? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead
In this episode of The Digital Shift, we explore how Knowledge Graph RAG combines graph relationships, ontologies, and vector search to answer complex enterprise questions.
We cover its architecture, enterprise use cases, and how graph-based retrieval improves context, accuracy, and traceability.
Building more reliable AI with enterprise data? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead
In this episode of The Digital Shift, we compare Rayfin, Microsoft Fabric, Power BI, and Power Apps and where each fits across application development, analytics, and business workflows.
We cover how these tools can work together to build apps, analyze data, and support business processes on the Microsoft platform.
Choosing the right Microsoft tools for your data and app strategy? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead
In this episode of The Digital Shift, we explore what causes rogue AI incidents, from excessive permissions and design flaws to external manipulation.
We cover task-scoped access, human oversight, action auditing, and governance frameworks from NIST and OWASP.
Want to put stronger controls around your AI agents? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead
In this episode of The Digital Shift, we explore Power BI Report Server licensing and usage limits, helping enterprises understand what to consider when running Power BI in on-premises environments.
We cover licensing models, capacity considerations, deployment limits, and key factors to assess before choosing Report Server.
Planning your Power BI Report Server strategy? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead
In this episode of The Digital Shift, we explore the security risks of agentic AI and the controls enterprises need before deploying autonomous agents in production.
We discuss threat modeling, data governance, access controls, monitoring, and secure deployment for enterprise AI systems.
Building secure AI agents for production? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead
In this episode of The Digital Shift, we explore KlarityIQ, Kanerika’s AI-powered document intelligence agent, and how it helps enterprises extract information and get answers from business documents.
We cover document intelligence workflows, enterprise use cases, tool evaluation, and what to consider before deployment.
Want to see how KlarityIQ can work with your enterprise documents? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead
In this episode of The Digital Shift, we explore what enterprises need to consider before deploying an LLM, from data privacy and security to governance, integration, auditability, and cost.
We also cover deployment models, real-world model evaluation, and phased rollout strategies.
Planning an enterprise LLM deployment? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead
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