Generative AI
Impact in next
12-24 Months
In the age of generative AI, boards, CEOs, and the entire C-suite must grasp this unprecedented technology, surpassing the tech literacy reshaped by the digital revolution. This revolution is not an average tech transformation.
3.5M
Operational Hours Saved through Automation.
20M
AI-Powered Hyper-Personalized Customer Offerings.
15%
Revenue Increase With Automated Workflows & AI Need Analysis.
Generative AI Delivers Value Across Broad Spectrums
The emergence of generative AI marks a significant departure from conventional technological advancements. Unlike anything witnessed in recent decades, it holds the promise of profoundly influencing every facet of a company's operations.
Those organizations that fully harness its potential are poised to undergo a transformative journey, fundamentally reshaping their identity. Yet, realizing this potential requires a fundamental shift, necessitating a reevaluation of processes and talent.
This journey entails embracing responsible AI practices and integrating generative AI into the digital core, thereby establishing a robust foundation for innovation.
Strategic Investments in Generative AI:
Shifting from Silos to Integrated Value Chains
Enterprises have the opportunity to allocate their investments into two distinct categories: foundational investments aimed at enhancing productivity and strategic ventures geared towards gaining innovative competitive advantages, potentially revolutionizing industry norms.
For companies lacking a robust digital infrastructure, prioritizing the former is imperative. This involves leveraging generative AI integrated into their existing platforms while simultaneously expediting the development of their digital core.
Conversely, organizations already equipped with a solid digital foundation must carefully evaluate the pace at which they pursue both avenues. Incorporating generative AI, whether for enhancing productivity or driving strategic initiatives, demands thoughtful consideration and cannot be achieved through a simple, one-step solution.
Guidelines:
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Explore the potential for transforming your value chain and fostering comprehensive business capabilities through generative AI and innovative workflows. Focus on executing a holistic roadmap rather than piecemeal initiatives.
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Prioritize value-driven reinvention of each business capability with generative AI, ensuring alignment with C-suite-approved metrics for evaluating effectiveness. Avoid getting stuck in pilot purgatory; swift action is essential to transition from hype to tangible results.
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Identify strategic opportunities where generative AI can provide unique value propositions, offering a competitive edge that rivals struggle to replicate. Assess your readiness to execute on these opportunities and plan accordingly.
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Shift organizational focus from isolated functions to integrated business capabilities, facilitated by cohesive data structures and cross-functional collaboration.
Navigating Agile Technology for Ever-Expanding Capabilities
Guidelines:
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Define your digital core according to your specific needs and objectively assess your current technological infrastructure. Compare its capabilities with industry standards and, more crucially, with the requirements for effective utilization of generative AI. Develop a strategic plan based on this evaluation, prioritizing areas with the greatest potential for reinvention based on your current position.
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Gain a comprehensive understanding of the concept of a data and generative AI backbone, including the necessary steps to establish it within your organization.
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Ensure that your Chief Information Officer (CIO) integrates cybersecurity measures early in the technology lifecycle and fosters a strong security culture to prioritize resilience.
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Evaluate your existing technology and advisory ecosystem, and refine your strategy for collaboration to expedite the reinvention process. Assess the risk-reward dynamics in these partnerships and explore opportunities for co-creation to accelerate progress.
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Implement rigorous metrics to track progress and ensure that over 50% of your technology investments are directed towards building new capabilities.
Embrace technology that seamlessly operates, facilitating the ongoing development of new capabilities.
Generative AI necessitates a reimagined enterprise architecture. Data assumes a more fluid and unstructured nature, with synthetic data gaining significance.
Given the continuous release of new foundational models, companies must select appropriate models to underpin each capability.
AI-ready applications featuring flexible architectures enable access to a variety of foundational models through strategic partnerships within ecosystems.
Forward-thinking entities prioritize their digital core as a pivotal competency.