AI Is Core to Strategy for 86%—But Obstacles Hinder Progress

AI Strategy and Data Complexity meeting with hands and tablet.

The Emerging Importance of AI in Business Strategy

Artificial Intelligence (AI) has evolved from being a shiny new technology to a core component of strategic planning for many organizations. According to a recent survey by Qlik, a leader in data integration and analytics, an astounding 86% of business leaders now view AI as integral to their competitive strategies. This shift reflects a growing recognition of AI's potential to drive efficiency and innovation. However, despite this enthusiasm, the survey reveals that many organizations struggle with the complexities of deploying AI effectively.

Challenges Businesses Face in AI Implementation

While AI presents transformative opportunities, operationalizing it comes with significant challenges. About 74% of leaders cite high infrastructure costs, disconnected data silos, and slow data ingestion as substantial barriers preventing them from scaling AI initiatives. These issues point to the intricacies involved in data management, signaling a pressing need for organizations to streamline their data workflows and promote data cohesion.

Generational Perspectives on AI Execution

The survey highlights differing perceptions of AI's importance across generational lines among executives. An impressive 99% of leaders aged 25-34 see proactive automation as crucial for success, while only 83% of those aged 55 and older share this viewpoint. Moreover, younger executives appear more trusting of AI-generated insights, with 48% expressing full confidence in these outcomes compared to just 24% of their older counterparts. This generational divide indicates evolving attitudes toward technology and potential shifts in corporate culture.

Moving Beyond Investment: Delivering Outcomes

The central takeaway from Qlik's findings is that mere investment in AI technology is insufficient. According to Mike Capone, CEO of Qlik, organizations must focus on delivering tangible results from their AI investments. With the pressure mounting from stakeholders for measurable returns, businesses need to address the barriers stymieing their AI efforts critically. This involves not only investing in suitable infrastructure but also fostering a culture of trust and adaptability when it comes to AI-driven insights.

Conclusion: The Future of AI in Business

As AI continues to reshape the business landscape, organizations are tasked with overcoming the complexities that impede implementation. By recognizing the importance of data cohesion, investing in suitable technologies, and embracing a culture open to AI's potential, businesses can realize the benefits of their strategic ambitions. Addressing these challenges is vital to unlocking growth and innovation in the fast-evolving digital age.

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