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Digital transformation in 2024: 10 industry questions to answer

Digital transformation will continue to accelerate in 2024, with AI playing a crucial role in driving this transformation across various industries. The maturation of AI technologies has the potential to bring about significant advancements and efficiencies in processes, decision-making, and customer experiences.


Although AI will continue to be the predominant story, there are many things to consider as we predict how 2024 will unfold. Organizations must consider how their digital transformation objectives serve their customer, focusing on the business strategy, not technology for technology's sake. To prepare, here are 10 questions to be aware of as you set your 2024 strategy.

1. What technological trends will drive digital transformation in 2024?

In 2024, one of the primary technological trends driving digital transformation will be Artificial Intelligence (AI) and its various applications. Companies across industries will prioritize AI integration into their core business processes. The "Fear of Missing Out" (FOMO) is the driving force behind this trend. Businesses that do not adopt AI may risk falling behind their competitors.

However, as companies rush to implement AI, they may encounter a significant challenge. Many will discover that their data systems are not as consolidated, clean, or trustworthy as needed for effective AI deployment. This realization will lead to increased emphasis on data management and quality as a fundamental component of digital transformation efforts.

2. How will AI continue to drive digital transformation in 2024?

AI will continue to be a central driver of digital transformation by augmenting knowledge work at every stage. AI will play a crucial role in data analysis, customer interactions, or process automation. One notable area of impact will be in the creation and enhancement of creative digital assets, such as content, graphics, and media. AI-powered tools will increasingly assist professionals in generating high-quality creative content efficiently.

Additionally, some forward-thinking companies will identify industry-specific "killer apps" enabled by AI. These groundbreaking applications will transform their industries by solving critical problems or providing unique value propositions. These innovations will further fuel the adoption of AI across various sectors.

3. How will data use evolve to support digital transformation in 2024?

Data utilization will undergo significant evolution to support digital transformation efforts. Metadata systems, which encompass data catalogs, lineage tracking, classification, and privacy controls, will gain paramount importance. As businesses strive to leverage AI effectively, they will rely on these metadata systems to manage and govern their data assets.

This shift towards metadata-centric data management will substantially change data handling and processing. It will not only enhance data quality and trustworthiness but also enable organizations to track the origin and usage of data, ensure compliance with regulations, and protect sensitive information. Metadata will become a linchpin in the successful implementation of AI-driven strategies.

4. What skills will be in the biggest demand in 2024?

While the demand for data science professionals will remain robust, two other skill sets will emerge as critically in demand.

Data engineering professionals will be sought after as organizations modernize their data platforms. These experts will design, build, and maintain the data infrastructure required for storing and processing vast volumes of data efficiently.

As companies prepare for AI use cases, roles related to AI toolchains, including AI model deployment, management, and optimization, will see massive demand. These professionals will be instrumental in ensuring the successful implementation of AI solutions and extracting meaningful insights from data.

5. Role of cybersecurity in digital transformation (2024)

Cybersecurity will continue to be a critical aspect of digital transformation in 2024. As organizations increasingly rely on digital technologies to drive innovation and efficiency, they become more vulnerable to cyber threats. In 2024, cybersecurity is likely to play the following roles:

  • Enabler of Trust: Robust cybersecurity practices will be essential in establishing trust with customers, partners, and stakeholders. Secure digital transformation efforts will be seen as trustworthy, fostering better relationships.
  • Data Protection: With an ever-increasing volume of data being generated and processed, cybersecurity will be vital in safeguarding sensitive information and ensuring compliance with data protection regulations.
  • Resilience: In 2024, organizations will focus on building cyber-resilience to rapidly detect, respond to, and recover from cyber incidents, minimizing downtime and damage.
  • AI and Automation: AI-driven cybersecurity solutions will play a significant role in identifying and mitigating threats in real time, helping organizations stay ahead of evolving cyber threats.

6. Influence of blockchain on digital transformation (2024)

Blockchain technology is likely to continue impacting digital transformation efforts in 2024 in various ways:

  • Supply Chain: Blockchain will be used for transparent and traceable supply chains, enhancing efficiency and reducing fraud in logistics and manufacturing.
  • Smart Contracts: The automation capabilities of smart contracts will streamline various business processes, reducing costs and delays.
  • Digital Identity: Blockchain-based digital identity solutions will enhance security and privacy while enabling seamless online interactions.
  • Tokenization: The tokenization of assets (e.g., real estate, art, securities) will expand, making it easier to trade and manage digital assets.

7. Impact of edge computing on AI and digital transformation (2024)

Edge computing will continue to be a catalyst for AI and digital transformation in 2024:

  • Low Latency: Edge computing reduces data transfer times, enabling real-time AI applications like autonomous vehicles, smart cities, and industrial automation.
  • Data Processing: Edge devices will process and filter data locally, sending only relevant information to the cloud, reducing bandwidth requirements.
  • Privacy: Edge computing helps address privacy concerns by keeping sensitive data closer to the source, minimizing exposure to the cloud.

8. Integration of IoT devices in digital transformation (2024)

IoT integration will advance digital transformation in several ways:

  • Data Insights: IoT devices will continue to generate vast amounts of data that organizations can use to gain insights, optimize operations, and create new business models.
  • Automation: IoT devices will drive automation in various sectors, from smart homes to industrial IoT, improving efficiency and reducing human intervention.
  • Customer Experience: IoT-enabled products and services will enhance the customer experience, offering personalization and convenience.
  • Energy Efficiency: IoT will play a role in sustainability efforts, optimizing energy usage and reducing environmental impact.

9. How will big data impact digital transformation in 2024

Big data is expected to have a significant impact on digital transformation in 2024. Below are some ways in which big data is predicted to influence the digital transformation landscape.:

  1. Data-Driven Decision Making: Big data analytics will continue to play a crucial role in digital transformation initiatives. As organizations deal with increasingly large amounts of data, they will rely more and more on advanced analytics to extract meaningful insights. These insights will help inform strategic decisions, product development, marketing strategies, and improvements to customer experiences.
  2. Personalization: Companies can use big data to personalize customer experiences, resulting in higher satisfaction and loyalty.
  3. Predictive Analytics: Predictive analytics, powered by big data, enable organizations to forecast future trends, customer behavior, and market shifts, helping businesses proactively respond to changes and stay competitive..
  4. Process Optimization: Big data will be used to optimize business processes. By analyzing operational data, organizations can identify bottlenecks, inefficiencies, and areas for improvement, ultimately increasing operational efficiency and reducing costs.
  5. Artificial Intelligence (AI) and Machine Learning: Artificial intelligence and machine learning technologies are expected to reap benefits from big data. Large datasets play a crucial role in training AI models and enhancing their precision. AI-based applications will become increasingly integrated into various facets of digital transformation, such as chatbots for customer service and predictive maintenance in manufacturing.
  6. Cybersecurity: As cyber threats become more sophisticated, organizations will rely on big data to detect anomalies, identify potential security breaches, and respond quickly to protect their digital assets.
  7. Customer Insights: Big data analytics will allow organizations to better understand customer behavior and preferences, enabling them to create highly targeted marketing campaigns, improve product offerings, and enhance the overall customer experience.
  8. IoT Integration: The Internet of Things (IoT) will generate massive volumes of data from connected devices. Big data technologies will be essential for processing, analyzing, and deriving insights from this IoT data. This integration will lead to innovations in areas like smart cities, healthcare, and industrial automation.
  9. Data Governance: As data volumes grow, robust governance frameworks become critical for quality, privacy, and compliance.
  10. Competitive Advantage: Companies that effectively harness big data will gain a competitive advantage. Those who can quickly adapt to changing market conditions and customer preferences by leveraging data-driven insights will be better positioned for success in the digital age.

Data and the evolution of AI is expected to remain a key driver of digital transformation in 2024. Businesses that invest in developing data analytics capabilities and utilize big data efficiently will have a competitive advantage to innovate, surpass competitors, and provide exceptional customer experiences in the ever-evolving digital world. However, it’s more than just AI. Organizations must place digital transformation in the forefront of their business strategy, understanding how to tie the business strategy objectives with how their customers will evolve.

10. What are the key strategies for managing the risks associated with digital transformation initiatives in 2024?

For successful digital transformation in 2024, a proactive and strategic approach is necessary to manage associated risks. Here are some key strategies to consider.

  1. Comprehensive Risk Assessment: Conduct a comprehensive risk assessment to identify potential vulnerabilities and disruptions that may occur during digital transformation. Evaluate both internal and external factors that could impact the initiative.
  2. Data Security: Implement robust data security measures to protect sensitive information from cyber threats and breaches. This includes encryption, access controls, regular security audits, and compliance with data protection regulations.
  3. Change Management: Develop a comprehensive change management plan to address resistance to change among employees and stakeholders. Communicate the benefits of digital transformation, provide training and support, and foster a culture of adaptability.
  4. Vendor and Technology Risk Management: Evaluate and manage risks associated with third-party vendors, technology providers, and software integrations. Conduct due diligence, establish service level agreements, and have contingency plans for vendor-related issues.
  5. Scalability and Performance: Make sure your digital infrastructure can handle increasing data volumes and user demands by regularly monitoring performance, conducting load testing, and investing in scalable technologies.
  6. Regulatory Compliance: Stay informed about evolving regulations and compliance requirements related to digital transformation, especially in regulated industries. Implement processes and controls to ensure compliance and manage regulatory risks.
  7. Talent Development: Invest in upskilling and retention programs to address digital skills gap. Develop talent pipeline to fill critical roles.
  8. Business Continuity: It is crucial to establish comprehensive business continuity and disaster recovery plans to reduce the risk of disruptions to critical digital systems and processes. It is also important to conduct regular testing of these plans to ensure their effectiveness.
  9. Cost Management: Ensure digital transformation initiatives align with business objectives by monitoring and controlling costs. Review budget regularly and make necessary adjustments.
  10. Ethical Considerations: Navigate ethical dilemmas by establishing guidelines and governance for data usage, AI algorithms, and decision-making. Promote transparency and responsible AI practices.

In 2024, digital transformation will be predominantly driven by the advancement and integration of Artificial Intelligence (AI) across various industries. AI's role in enhancing processes, decision-making, and customer experiences will be significant. However, organizations will face challenges, especially regarding data management, as they strive to effectively implement AI. This will lead to an increased focus on data quality and governance.

Key trends to look out for include the evolution of data usage, with metadata systems becoming crucial for managing data assets. Skills in data science, data engineering, and AI toolchain management will be highly sought after. Cybersecurity will play a vital role in protecting data and maintaining trust. Blockchain technology will impact areas like supply chains and digital identity, while edge computing will facilitate low-latency AI applications and data processing. IoT devices will contribute to automation and data insights.

Big data will influence decision-making, personalization, and AI development, and it will be integral in cybersecurity and customer insights. The intersection of big data and AI will continue to be a key driver of digital transformation.

To manage the risks of digital transformation, comprehensive strategies are needed, including risk assessment, data security, change management, vendor risk management, scalability, regulatory compliance, talent development, business continuity, cost management, and ethical considerations. These measures will help ensure that digital transformation aligns with business objectives and customer needs, going beyond technology for its own sake.

Vishal Parpia - Chief Digital Officer

Michael Elliott - Executive Director