VKTR's editorial mission is to advance the careers of today’s top AI practitioners and forward thinking leadership via high impact knowledge, networking, research and recognition.
Our enterprise-focused content is a timely advantage for executives driving decisions and seeking high leverage investments in enterprise AI technology and practices. We focus on serving the following set of personas: Chief AI Officer, VP of Technology / Chief Technology Officer, VP of Product, VP of Data Science, VP of Operations and Enterprise Architects.
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| Month | Theme 1 | Theme 2 |
|---|---|---|
| January | Data Engineering for GenAI | Trust and Transparency in AI Outputs |
| February | Energy Efficient and Sustainable AI | AI in Knowledge and Work Management Systems |
| March | AI Governance 2.0: From Policy to Real Use Case | Edge-Native & Ambient Intelligence |
| April | Agentic AI and Multi-Agent Orchestration in Customer Service | Open-Source vs Propriety LLM Ecosystems for Knowledge Management |
| May | Workforce Transformation and AI Skills | Voice AI & Emotion-Aware Contact Centers |
| June | AI-Optimized Hardware and the Supercomputing Arms Race | Copilot Workflows and the AI-Augmented Digital Workplace |
| July | Agent Governance Infrastructure: Controlling Access & Agent Authorization at Scale | AI Cost Containment: From Inference Optimization to Cost-Per-Task Modeling |
| August | Minimizing AI Risk in the Enterprise | Agentic Commerce & The Death of Clicks |
| September | The AI Contact Center | The AI Data Layer: Modernizing Data Management & Architecture |
| October | Customer Journeys Powered By AI | The AI Agent Stack |
| November | AI Culture & Change Management | The AI ROI Reality Check |
| December | Customer Trust in the Age of AI | AI Systems Management: Navigating Constant Disruption |
NOTE: VKTR's editorial calendar is subject to change as the market evolves. For additional questions, please contact us. You may also request a copy of our media kit here.