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Agora Insights, Christchurch (2026)

18/06/2026

📁 Download the BABOK Breakdown for free today!

This mindmap is a useful tool to visually reference different elements of the BABOK® Guide. You can add notes, create different versions, and even change the colours to suit your particular taste.

ℹ️ Click the link to download - it's FREE❕❕
https://bit.ly/BABOK_breakdown

businessanalyst

18/06/2026

📑 Practical Applications for Architects

AI offers tangible benefits for architectural practices. Deirdre Caren highlights how image generation models can speed up design visualization, helping stakeholders understand concepts early. Embeddings enable semantic searches, making data retrieval more relevant and efficient.

Data management techniques, like handling large datasets and similarity searches, streamline workflows and support better decision-making. Integrating AI into platforms via APIs and automation reduces manual effort and provides real-time data access.

These practical AI applications empower architects to communicate more effectively, accelerate project timelines, and foster innovation - ultimately transforming architecture practices and client interactions.

📌What this blog explores:

🔹 How AI can streamline architectural workflows
🔹 Practical use cases for visual, data, and process automation
🔹 How AI supports communication across business units

Architects don’t just need to understand AI - they need to use it. This is where theory becomes transformation.

Full Blog: https://bit.ly/4jpGgT3

17/06/2026

📑 Conclusion

What’s the biggest takeaway from our AI journey?

That learning AI is not about mastering every tool—it’s about being open to experimentation, collaboration, and continuous growth. At Agora Insights, we believe that architects who embrace this mindset will lead the next wave of innovation.

In this article, we reflect on:

✅ The value of learning together
✅ The power of peer support
✅ The mindset shift required to architect AI for real change

AI is a journey. And it’s one we’re proud to walk with our community.

📖 Read the full reflection: https://bit.ly/4jpGgT3

17/06/2026

📑 Embracing AI: A Journey into the Future of Business Analysis

What happens when artificial intelligence meets business analysis? In her recent blog, Deirdre Caren explores this question following her interview with Susan A. Moore on the IIBA podcast, “AI and the Future of Business Analysis Roles.”

Rather than viewing AI as a disruptive force, Deirdre presents it as a collaborative partner—one that enhances the role of business analysts when used with intention and context. The blog offers a thoughtful introduction to how AI is influencing the future of the profession and sets the tone for deeper exploration into skills, ethics, and career development in the age of AI.

Key insights include:

• Why AI literacy is becoming a core competency
• How prompting AI tools can improve decision-making
• The importance of unlearning outdated habits
• What it means to work with AI, not against it

Deirdre advocates for a mindset shift—one where AI is not feared, but understood and used strategically. This blog is a valuable starting point for any business analyst looking to align their work with emerging technologies and future-ready practices.

📝 Read the full blog: https://bit.ly/3H6ou8V
🎥 Watch the video: https://youtu.be/rV9enr5mmKM
📘 Explore AI training: https://courses.agorainsights.com/

17/06/2026

Revolutionizing Customer Service with AI Sentiment Analysis

AI is giving businesses a real-time view into how customers feel—and the ability to act on it immediately.

In this conversation, Jonathan Mast joins Deirdre Caren, Omar Gawad, and Alain Picard to explore how AI sentiment analysis is transforming customer service. By identifying emotional trends across interactions, AI enables businesses to adjust processes dynamically—long before complaints reach the executive level.

💡 Highlights include:

✔️ Real-time sentiment tracking in customer calls
✔️ AI-driven service adjustments based on emotional cues
✔️ Reducing customer churn through proactive engagement

🎧 Listen to the full episode: https://bit.ly/447jkD3

.ai

17/06/2026

📑 How Can AI Be Treated as a Collaborative Stakeholder?

In a recent blog, Deirdre Caren explores the concept of treating artificial intelligence as a collaborative stakeholder in business analysis. This idea emerged during her conversation with Susan A. Moore on the IIBA podcast, “AI and the Future of Business Analysis Roles.”

Rather than viewing AI as a one-way tool for automation, Deirdre encourages analysts to engage with AI systems through prompting—an intentional interaction that involves giving AI the right context and direction. This method helps ensure that AI-generated outputs are relevant, accurate, and aligned with business objectives.

Why this approach matters:

• Prompting enables AI to contribute more meaningfully to analysis tasks
• Business analysts remain in control of the strategic direction
• Collaboration with AI enhances—not replaces—human insight

Deirdre points out that AI literacy is a skill that can be built over time. Analysts don’t need to become AI experts overnight, but they do need to understand how to guide AI effectively. Starting with small experiments—trying out different prompts and observing how the system responds—can lead to valuable learning.

By treating AI as a stakeholder, analysts can foster stronger, more productive relationships with the technology and elevate their role within the organization.

📝 Read the full blog: https://bit.ly/3H6ou8V
🎥 Watch the video: https://youtu.be/rV9enr5mmKM
📘 Explore AI training: https://courses.agorainsights.com/

17/06/2026

Unlocking the Hidden Value of Enterprise Architects

For many professionals—enterprise architects, business intelligence teams, and project managers—finding the right information is often the hardest part of the job. Instead of focusing on strategy and ex*****on, too much time is spent searching for knowledge that should be easily accessible.

In this discussion, Deirdre Caren and Tania Armstrong explore why governance, structured processes, and better knowledge management are critical to improving efficiency. They also discuss the impact of AI and emerging technologies on how businesses access and manage information.

If organizations want to maximize the value of enterprise architects, they need to rethink how information is structured and shared.

🎥 Watch the full conversation here: https://bit.ly/4fMw3y2

16/06/2026

📑 What New Skills Are Needed, and Which Old Habits Must Be Unlearned?

What does it take to thrive as a business analyst in an AI-supported environment? In her blog, Deirdre Caren shares practical insights from her discussion with Susan A. Moore on the IIBA podcast, “AI and the Future of Business Analysis Roles.”

The answer lies in a dual approach: learning new, AI-relevant skills—and unlearning habits that may limit growth.

New skills include:

• AI Literacy: Knowing how AI works and how to apply it in business contexts
• Data Literacy: Understanding and interpreting data to support decisions
• Prompt Engineering: Communicating effectively with AI systems through structured inputs

At the same time, Deirdre points out that some habits must be left behind:

• Rigid Thinking: Clinging to traditional frameworks that no longer align with today’s needs
• Resistance to Change: Avoiding new methods or tools out of familiarity

This evolution doesn’t require perfection—it requires progress. Deirdre recommends starting with short courses or hands-on practice with AI tools. The goal is to build confidence and competence over time.

By embracing both learning and unlearning, business analysts can position themselves as adaptable, forward-thinking professionals ready to lead through change.

📝 Read the full blog: https://bit.ly/3H6ou8V
🎥 Watch the video: https://youtu.be/rV9enr5mmKM
📘 Explore AI training: https://courses.agorainsights.com/

16/06/2026

📑 How Should Ethical Considerations Be Navigated?

As artificial intelligence becomes more embedded in business analysis, ethical considerations are no longer optional—they’re foundational. In her blog, Deirdre Caren outlines how business analysts can navigate these challenges with intention and clarity.

During her conversation with Susan A. Moore on the IIBA podcast “AI and the Future of Business Analysis Roles,” Deirdre emphasized that integrating AI into business processes requires more than technical skills. It demands a strong ethical framework to ensure decisions are responsible, transparent, and inclusive.

Key ethical priorities include:

• Ensuring Accuracy: Always verify AI-generated insights using reliable sources
• Addressing Bias: Understand how AI models are trained and remain vigilant about potential bias
• Promoting Transparency: Advocate for clear guidelines and explainability in AI use

Deirdre encourages analysts to take an active role in shaping ethical practices. This includes initiating discussions within teams, questioning assumptions, and pushing for responsible AI governance.

Ethics in AI isn’t just a compliance issue—it’s a leadership opportunity. Business analysts who embrace this responsibility can help organizations build trust, reduce risk, and make more informed decisions.

📝 Full blog: https://bit.ly/3H6ou8V
🎥 YouTube Video: https://youtu.be/rV9enr5mmKM
📚 Learn more: https://courses.agorainsights.com/

16/06/2026

📑 What Future Career Paths Does AI Offer for Business Analysts?

The introduction of AI into business operations is not closing doors for business analysts—it’s opening new ones. In her blog, Deirdre Caren outlines how AI is creating career opportunities for professionals who are ready to expand their skills and adapt to emerging demands.

Based on her discussion with Susan A. Moore on the IIBA podcast, “AI and the Future of Business Analysis Roles,” Deirdre identifies several evolving paths that align with the growing integration of AI into business strategy.

Potential career directions include:

• AI Business Analyst: Focused on aligning AI capabilities with business needs and delivering AI-driven solutions
• AI Ethics Consultant: Ensuring responsible, transparent, and fair use of AI technologies
• Data Strategist: Using data and AI insights to guide business decisions and long-term planning

These roles are not about becoming technical experts—they’re about bridging the gap between business and technology. Analysts who can interpret data, guide ethical AI use, and shape AI strategies are increasingly valuable.

Deirdre encourages professionals to explore areas of AI that spark interest and to seek out mentorship, training, or certifications to support that growth. The future of business analysis is expanding, and those who are proactive in learning will find themselves well-positioned.

📝 Full blog: https://bit.ly/3H6ou8V
🎥 YouTube Video: https://youtu.be/rV9enr5mmKM
📚 Learn more: https://courses.agorainsights.com/

Agora Insights

18/06/2026

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Monday	9am - 5pm
Tuesday	9am - 5pm
Wednesday	9am - 5pm
Thursday	9am - 5pm
Friday	9am - 5pm