What's Next for Your AI Journey?

[calebjlee]

We hope you've enjoyed our Make Your Data Work for AI discussions! Every organization is at a different stage of its AI journey.

What's the next milestone you're working toward? It could be improving data quality, expanding adoption of agentic capabilities, demonstrating business value, strengthening governance, or launching a new use case.

If you haven't already, watch the Make Your Data Work for AI story here!

Tell us what's next for your team in the comments. Share your response for a chance to win a pair of sneakers. Winner announced August 14.

[PawelSz]

Our next milestone is simple- making data as easy to use as Google.

In logistics we already have the data. We already have the dashboards. The challenge now is helping every employee, regardless of technical skills, get answers from data without needing to know where it lives or how it was modeled.

If AI can help warehouse managers, planners, and business users get trusted answers in seconds instead of searching through reports, that's where the real value starts.

Success for us won't be when AI generates more insights. It will be when more people are able to act on them.

[F_B]

AI greatest potential comes when combined with human expertise and judgment, so I think a huge milestone would be helping people work more effectively with AI.

[quentinba]

Our next approach around AI is to bring our employees from people that USE AI to people that WORK with AI. And we are currently working on training them, sharing good practice to have a solid base.

[Or]

Next milestone is the first big one - get the organization AI ready without being tied to a specific vendor for LLM, MCP, and source, all without interrupting ongoing business processes. 

[jribagy1]

Our next objective is to leverage every available resource to boost performance, enhance data security, and increase process agility.

This involves using automation to send detailed emails to customers and salespeople; employing data products to generate governed, reliable data; using alerts to take a more proactive approach to the business; and utilizing easy-to-visualize reports.

Above all, it entails using Artificial Intelligence to assist in creating dashboards and generating insights and presentations—or even answering questions that were previously beyond our reach.

And finally, securely democratizing data for everyone.

[rdm6532]

We are working on becoming more mature in our approach and developing processes for proper implementation.

[Data_Vizzer]

Key for us is improving data quality so anything AI such as agents will be trusted and reliable.

[Chanty4u]

Hi @calebjlee 

Our next milestone is to move from “AI can answer our data” to “AI can act on our data”—with trusted, governed Qlik data as the foundation.

We’re focusing on turning insights into measurable actions and business outcomes, not just adding another AI feature to the dashboard.

[EduardoLopes]

Quero avançar no uso da inteligência artificial para facilitar o trabalho com informações. A ideia é permitir que os profissionais façam perguntas e encontrem o que precisam de maneira rápida, sem depender de conhecimentos técnicos.

Também quero buscar formas de aplicar a IA em situações reais, ajudando a equipe a economizar tempo, resolver problemas e tomar decisões melhores.