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Kissimmee Today
By the People, for the People
Qlik AI Council Urges Companies to Prepare for AI Challenges
The council says organizations must address complex issues as they adopt artificial intelligence.
Apr. 9, 2026 at 2:11pm
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As AI adoption grows, companies must address the complex technical, operational, and cultural challenges of deploying these powerful technologies responsibly.Kissimmee TodayThe Qlik AI Council, a group of industry experts, has called on companies to prepare for the difficult aspects of implementing artificial intelligence. The council warns that as more organizations adopt AI, they must address complex issues around data quality, model governance, and workforce upskilling.
Why it matters
As AI becomes more prevalent in business, companies need to proactively manage the technical, operational, and cultural challenges that come with deploying these powerful technologies. The Qlik AI Council's recommendations aim to help organizations avoid common pitfalls and ensure AI initiatives deliver sustainable value.
The details
The Qlik AI Council, which includes data and analytics leaders from various industries, outlined key focus areas for companies adopting AI. These include ensuring high-quality, trustworthy data to train AI models, establishing robust governance frameworks to monitor model performance and mitigate bias, and upskilling employees to work effectively alongside intelligent systems.
- The Qlik AI Council released its recommendations on April 9, 2026.
The players
Qlik AI Council
An industry group of data and analytics experts that provides guidance on the responsible development and deployment of artificial intelligence.
What they’re saying
“As AI becomes more pervasive, companies must proactively address the hard parts of implementation to ensure these technologies deliver sustainable value and don't introduce new risks.”
— Joanna Chen, Chair, Qlik AI Council
What’s next
The Qlik AI Council plans to publish additional guidance and best practices for companies navigating the complexities of AI adoption in the coming months.
The takeaway
Successful AI implementation requires organizations to go beyond the initial hype and excitement and tackle the difficult operational, technical, and cultural challenges that come with deploying these powerful technologies at scale.
