In today’s era dominated by artificial intelligence (AI) and data analytics, businesses are challenged to use these tools effectively. A recent McKinsey study reveals that 72% of organizations have adopted at least one AI technology, but only 25% have made a significant impact on their financial results. Additionally, Gartner predicts that by 2025, 90% of corporate strategies will explicitly include the use of data and analytics as essential assets.
But what is the best strategy? According to Stratesys, the key lies in integrating both the technological and business-oriented perspectives to generate unique and sustainable results.
Innovation and scalability: The technological approach
Teams led by technology experts stand out for their ability to implement advanced solutions. These groups focus on adopting innovative technologies to solve complex problems, design robust and reliable AI models, and create data architectures that optimize the management of large volumes of information.
An example of this is a corporate ecosystem that uses Fabric as a global data lake to centralize and manage large volumes of data, along with integrated Salesforce Data Cloud and Agentforce (AI) to power customer strategy. This provides advanced segmentation and targeted tools to improve customer experience and operational efficiency.
However, an exclusively technological approach can become disconnected from strategic objectives, limiting its impact on the business.
Integrating technology and business is the key for AI to drive business growth
Measurable and practical results: The business approach
On the other hand, business-oriented teams focus on harnessing the power of data to generate a tangible impact on company operations. This approach seeks to optimize income and reduce costs through strategic information analysis. Additionally, he implements practical solutions that improve the customer experience, ensuring that technology initiatives are aligned with the organization’s strategic priorities.
This approach allows for visible results of immediate value, such as increased customer satisfaction or greater operational efficiency. However, in some cases, you may lack the technical depth necessary to develop scalable and sustainable systems, which could limit the long-term reach of your initiatives. The key is to overcome these limitations by collaborating with technical profiles and establishing common objectives that balance strategic vision and technical implementation.
Balance as the key to success
Companies that combine technological experience with a strategic vision achieve outstanding results. This balance requires:
- Collaboration between technical and business areas.
- Incorporation of mixed roles, such as data translators, that connect both worlds.
- Selection of projects that maximize strategic value and technical feasibility.
In short, the business future requires increasingly closer integration between technology and business. Data and AI teams should be seen as drivers of innovation and growth, not just “operational expenses.” With this integration, organizations can thrive in a competitive and ever-changing environment.
Stratesys, with its vast experience, is positioned as a key ally for companies seeking to navigate this complex landscape. By combining advanced technology with strategic vision, Stratesys helps organizations achieve their goals and stay competitive in an ever-evolving marketplace. The integration of AI and data analytics is not just a trend, but a necessity for sustainable success in the future of business.
