Preliminary Agenda for Day 1 Conference in Mauritius 

Final agenda & Speakers list released March 31 | Subject to change
Conference Agenda
Conference Agenda

The State of Generative AI in Enterprise: From Ideation to Execution

Synopsis: Generative AI adoption has evolved rapidly, shifting from pilot programs to large-scale enterprise deployment. This session will explore how leading organizations are integrating AI into their workflows, the key industries driving AI investment, and the impact on productivity, revenue generation, and cost savings.

Target Audience: CIOs, IT Leaders, Business Executives

AI Agents, Multimodal AI, and the Future of Automation

Synopsis: The evolution of AI from rule-based models to autonomous AI agents capable of multimodal interactions (text, images, audio, and video) is transforming business operations. This session will cover advancements in agentic AI, real-world applications, and how organizations can leverage autonomous AI for business process automation, customer interactions, and decision-making.

Target Audience: IT Professionals, AI Engineers, Enterprise Architects

AI Governance, Responsible AI, and Compliance in the Enterprise

Synopsis: With the rise of Generative AI, enterprises face new challenges around regulatory compliance, data privacy, and ethical AI usage. This session will discuss best practices for Responsible AI (RAI), risk mitigation strategies, and how organizations can align AI deployments with evolving regulations such as the EU AI Act.

Target Audience: C-Suite Executives, Compliance Officers, Risk Management Leaders

Industry-Specific AI Applications: Finance, Healthcare, and Manufacturing

Synopsis: AI is disrupting multiple industries, from fraud detection in banking to AI-assisted drug discovery in healthcare and predictive maintenance in manufacturing. This session will provide a deep dive into industry-specific AI applications, showcasing success stories, challenges, and key implementation strategies.

Target Audience: Industry Leaders, CIOs, IT Professionals, AI Strategy Teams

AI-Driven Transformation in Marketing, Retail, and Creative Industries

Synopsis: AI is reshaping customer engagement through hyper-personalized marketing, automated content creation, and AI-powered chatbots. This session will explore AI’s role in marketing and retail, how brands are using AI-generated content, and the implications for customer experience and sales optimization.

Target Audience: Marketing Executives, Digital Transformation Leaders, AI Strategists

AI Investment, Cost-Benefit Analysis, and the Future of AI Platforms

Synopsis: Investment in AI has skyrocketed, but enterprises must balance cost savings with revenue generation. This session will examine AI implementation costs, ROI, and the evolving AI vendor landscape, helping organizations make informed decisions about AI adoption and infrastructure.

Target Audience: CIOs, CFOs, IT Procurement Leaders

Beautiful Mauritius - The perfect location to relax while gaining the AI advantage

Preliminary Agenda for Day 2 Conference in Mauritius 

Final agenda released March 31 | Subject to change

 

Day 2 Agenda / Workshop

Metatron Consulting’s AI Readiness Methodology: Your Blueprint for Responsible and Scalable AI!

In today’s landscape, responsible AI adoption requires a structured, regulatory-aligned approach. Metatron Consulting’s AI Readiness Methodology delivers just that—a clear, step-by-step framework to ensure AI integration that’s ethical, compliant, and future-ready.

🔹 Phase 1: Assess Current State

  • AI Governance & Strategic Alignment: Conduct a thorough assessment of current AI capabilities, identifying gaps and aligning with business goals and regulatory standards like the EU AI Act and GDPR.
  • Define a tailored AI mission and ethical guidelines that serve as a foundation for responsible AI.

🔹 Phase 2: Design a Strong AI Framework

  • Governance Board and Compliance Structures: Establish an AI Governance Board comprising cross-functional leaders (IT, HR, legal, and business) to oversee responsible AI, ensuring ethical standards and legal compliance.
  • Data Management & Governance: Develop data protocols to maintain quality, privacy, and compliance with regulations, forming the backbone of reliable AI outputs.
  • Cybersecurity & Risk Management: Integrate AI-specific security measures, risk controls, and continuous monitoring to protect data integrity and mitigate model risks.

🔹 Phase 3: Implement with Ethics and Empowerment

  • Ethical AI & Human Oversight: Embed human oversight in critical AI processes to ensure fairness, transparency, and accountability, mitigating bias in decision-making.
  • Workforce Development & Change Management: Provide targeted training and change management support to equip teams with AI literacy and readiness for AI-driven transformation.

🔹 Phase 4: Sustain, Scale, and Evolve

  • Compliance & Continuous Monitoring: Establish regular audits and monitoring systems to ensure ongoing compliance, from privacy checks to performance evaluations.
  • Sustainability & Partnerships: Integrate sustainability into AI processes and build partnerships with academia and industry to stay on top of regulatory changes and advancements.

This methodology provides organizations with the guidance they need to implement AI responsibly and sustainably, with a focus on measurable results and ethical integrity. Let’s future-proof your AI journey with Metatron Consulting! 🌐

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