Flevy Management Insights Q&A
What are the emerging technologies driving digital maturity in 2024 and beyond?
     Mark Bridges    |    Digital Maturity


This article provides a detailed response to: What are the emerging technologies driving digital maturity in 2024 and beyond? For a comprehensive understanding of Digital Maturity, we also include relevant case studies for further reading and links to Digital Maturity best practice resources.

TLDR AI, IoT, and Blockchain are key technologies driving Digital Transformation, enhancing Strategic Planning, Operational Excellence, and Risk Management across industries.

Reading time: 5 minutes

Before we begin, let's review some important management concepts, as they related to this question.

What does Digital Transformation mean?
What does Strategic Planning mean?
What does Operational Excellence mean?
What does Risk Management mean?


Digital maturity is increasingly becoming a critical factor for organizations aiming to thrive in today's fast-paced environment. Emerging technologies are at the forefront of this evolution, driving significant changes in how organizations operate and compete. Among these technologies, Artificial Intelligence (AI), the Internet of Things (IoT), and Blockchain are leading the charge. AI, in particular, is transforming industries by enabling data-driven decision-making, automating routine tasks, and enhancing customer experiences. According to McKinsey, AI could potentially deliver additional global economic activity of around $13 trillion by 2030, emphasizing its profound impact on digital maturity.

IoT is another game-changer, connecting devices and systems to streamline operations and gather valuable insights. This interconnectedness allows for real-time monitoring and predictive maintenance, reducing downtime and operational costs. A report by Gartner predicts that IoT will save consumers and organizations over $1 trillion a year by 2025 through enhanced efficiencies and productivity. Blockchain, while often associated with cryptocurrencies, is finding applications in supply chain management, where it ensures transparency and traceability, thus enhancing trust and security.

Organizations must adopt a strategic framework to harness these technologies effectively. This involves not just technology implementation but also aligning these innovations with overall business objectives. Consulting firms like Deloitte emphasize the importance of integrating these technologies into a comprehensive Digital Transformation strategy. This approach ensures that technology investments deliver tangible business outcomes and support long-term growth. By leveraging a well-defined strategy template, organizations can systematically evaluate and implement these technologies, ensuring they contribute to digital maturity.

AI and Machine Learning

AI and Machine Learning (ML) are at the core of digital evolution, driving efficiencies across various sectors. These technologies enable organizations to process vast amounts of data and extract actionable insights, thus enhancing Strategic Planning and decision-making. For instance, AI-powered analytics can identify patterns and trends that humans might overlook, providing a competitive edge in market analysis and customer engagement. Accenture reports that AI can increase productivity by up to 40%, highlighting its potential to revolutionize traditional business models.

In the financial sector, AI is being used to detect fraudulent activities by analyzing transaction patterns and flagging anomalies. This not only enhances Risk Management but also improves customer trust and satisfaction. Retailers are using AI to personalize shopping experiences, tailoring recommendations based on customer preferences and behavior. This level of personalization is crucial for customer retention and loyalty. Organizations must integrate AI into their core operations to stay relevant and competitive in their respective industries.

Implementing AI requires a robust strategy development process. Organizations need to assess their current capabilities, identify gaps, and develop a roadmap for AI adoption. Consulting firms like BCG recommend a phased approach, starting with pilot projects to test AI applications and gradually scaling up based on results. This iterative process allows organizations to learn and adapt, ensuring successful AI integration. A well-crafted strategy template can guide this process, providing a structured approach to AI implementation.

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Internet of Things (IoT)

The Internet of Things is transforming how organizations operate by connecting devices and systems, enabling seamless communication and data exchange. This connectivity facilitates real-time monitoring and control, leading to improved Operational Excellence. In manufacturing, IoT sensors are used to monitor equipment performance, predict maintenance needs, and reduce downtime. This proactive approach to maintenance can significantly lower operational costs and increase productivity.

IoT is also revolutionizing supply chain management by providing end-to-end visibility and traceability. Organizations can track products from production to delivery, ensuring quality and compliance. This transparency enhances trust with customers and partners, a critical factor in today's competitive markets. According to a report by PwC, IoT can improve supply chain efficiency by up to 15%, underscoring its impact on operational performance.

To capitalize on IoT, organizations must develop a comprehensive IoT strategy. This involves identifying key areas where IoT can add value, investing in the right technologies, and building the necessary infrastructure. Consulting firms like Capgemini emphasize the importance of a collaborative approach, involving cross-functional teams to ensure successful IoT implementation. A strategic framework can help organizations navigate the complexities of IoT adoption, ensuring alignment with business goals and maximizing ROI.

Blockchain Technology

Blockchain technology is gaining traction beyond cryptocurrencies, offering solutions for secure and transparent transactions. Its decentralized nature ensures data integrity and reduces the risk of fraud, making it ideal for industries like finance and supply chain management. Organizations are leveraging blockchain to streamline processes, enhance security, and build trust with stakeholders. For example, IBM's blockchain platform is used by major retailers to track food products from farm to shelf, ensuring quality and safety.

In the financial sector, blockchain is used to facilitate cross-border transactions, reducing costs and processing times. This efficiency is critical for organizations looking to expand their global reach. Blockchain's ability to provide an immutable record of transactions also supports compliance and audit processes, enhancing transparency and accountability. According to a report by Deloitte, blockchain can reduce transaction costs by up to 20%, highlighting its potential to drive cost savings and operational efficiencies.

Organizations must develop a clear blockchain strategy to realize its benefits. This involves understanding the technology's capabilities, identifying suitable use cases, and building the necessary infrastructure. Consulting firms like EY recommend a phased approach, starting with pilot projects to test blockchain applications and gradually scaling up. A well-defined strategy template can guide this process, ensuring successful blockchain integration and alignment with business objectives.

Best Practices in Digital Maturity

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Digital Maturity Case Studies

For a practical understanding of Digital Maturity, take a look at these case studies.

Postal Services for Rural Communities Using Smart Logistics

Scenario: A national postal service provider is facing a significant strategic challenge due to low digital maturity.

Read Full Case Study

Transforming Rail Transportation through Digital Innovation and Operational Excellence

Scenario: The organization is a mid-size rail transportation provider based in North America facing a significant strategic challenge related to digital maturity.

Read Full Case Study

WasteWise: Revolutionizing Waste Management for a Circular Economy

Scenario: A mid-sized waste management company in North America is grappling with a fragmented strategy and limited digital maturity.

Read Full Case Study

Explore all Flevy Management Case Studies

Related Questions

Here are our additional questions you may be interested in.

What are the key indicators of digital maturity in an organization?
Digital maturity indicators include Technology Integration, Data Utilization, Digital Skills, Leadership Commitment, Strategic Planning, Governance, Customer Experience, Innovation, and robust Technology Infrastructure. [Read full explanation]
How does digital maturity impact competitive advantage in today's market?
Digital maturity is crucial for organizations to adapt swiftly, optimize operations, enhance customer experience, drive innovation, and build resilience in today's dynamic market. [Read full explanation]
What role does leadership play in accelerating digital maturity?
Leadership is essential in driving Digital Transformation by setting vision, fostering a culture of innovation, ensuring strategic alignment, and building digital capabilities. [Read full explanation]
How can AI and machine learning enhance digital maturity in businesses?
AI and machine learning drive digital maturity by enabling data-driven decisions, optimizing operations, and improving customer experiences, crucial for organizational growth and innovation. [Read full explanation]

Source: Executive Q&A: Digital Maturity Questions, Flevy Management Insights, 2024


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