Blog Post #2

AI Challenges and Solutions by Industry 

In recent years, the volume, velocity, and variety of data—across both on-premise and cloud environments—have grown exponentially. This transformation has made it essential for organizations to adopt robust data integration and management strategies. With data increasingly distributed across hybrid infrastructures, organizations must be able to seamlessly access, manage, and analyze it.

At the same time, advancements in cloud infrastructure have enabled scalable computing power, making it possible to process and analyze vast amounts of data—unlocking new opportunities across industries.

Within this landscape, AI has significantly enhanced the fields of Business Intelligence (BI) and Decision Support Systems (DSS). By leveraging machine learning, AI brings automation, predictive capabilities, and deeper insights to analytics.

Below are some use cases of how AI is being applied to address analytics challenges in specific industries.

Travel & Tourism

Legal

Tax & Accounting

What’s Next?
You don’t have to wait for your organization to reach full analytics maturity to start realizing the benefits of AI. Embracing machine intelligence capabilities today can accelerate insight generation, automate analytics creation, and introduce conversational interactions—all of which drive greater user adoption and strengthen data literacy across the organization.

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Bibliography

CBA. (n.d.). Use of AI in Legal Practice: An Overview. Retrieved from: https://cba.org/resources/practice-tools/ethics-of-artificial-intelligence-for-the-legal-practitioner/2-use-of-ai-in-legal-practice-an-overview/.

Gibson, H. O. (April 18, 2025). Solving Three Common AI Challenges Companies Face. Retrieved from ; https://www.library.hbs.edu/working-knowledge/solving-three-common-ai-challenges-companies-face.

Krishnan, A. C. (2023). Travel is at an all-time high—and woes can sometimes seem widespread. Here’s how AI could help. Retrieved from: Travel is at an all-time high—and woes can sometimes seem widespread. Here’s how AI could help.

Pinto, D. (n.d.). Don’t Just Hope Your Data Is AI-Ready - Know It (AI). Retrieved from : https://www.qlik.com/blog/dont-just-hope-your-data-is-ai-ready-know-it.

Wolfers, L. (n.d.). The use of generative AI tools in the tax profession (After the initial hype – fear, foe or friend?). Retrieved from: https://kpmg.com/xx/en/our-insights/ai-and-technology/the-use-of-generative-ai.html.