Gartner has identified the top 10 strategic technology trends for 2024 that IT leaders should consider in their planning. AI and automation drive these trends and are essential for addressing technological disruptions and uncertainties in the business environment. By incorporating these trends into your IT planning strategy, you can prioritize projects, create a technology roadmap for 2024, and align your IT initiatives with your business goals.
With careful planning, you can ensure that your IT investments are optimized to maximize success. By setting clear goals for your IT initiatives in 2024, you can create a framework for planning and execution. This includes developing a project prioritization strategy, implementing an effective IT project management strategy, and budget planning for 2024 to ensure that resources are allocated efficiently.
By aligning your IT initiatives with your business goals, you can drive innovation, enhance operational efficiency, and deliver value to your organization. This strategic approach to IT planning will enable you to stay ahead in the rapidly changing technology landscape and position your organization for long-term success.
- Plan your 2024 IT initiatives by incorporating Gartner’s top 10 strategic technology trends.
- Create a technology roadmap for 2024 to guide your IT investments and initiatives.
- Align your IT projects with your business goals to maximize success and value.
- Develop an IT project prioritization strategy to ensure efficient resource allocation.
- Implement an effective IT project management strategy to drive execution and delivery.
Democratized Generative AI
Gartner predicts that by 2026, more than 80% of organizations will use generative AI APIs and models or GenAI-enabled applications. Democratized generative AI provides users with access to vast amounts of information, democratizes knowledge and skills, and enables enterprises to connect their workers with expertise in a conversational style. This trend is driving several other trends and is expected to facilitate disruption at scale.
Democratized generative AI is revolutionizing the way organizations access and utilize knowledge. With the help of generative AI APIs and models, businesses can tap into a wealth of information, empowering their workforce to make more informed decisions and drive innovation.
Democratized generative AI enables the democratization of knowledge and skills, breaking down barriers and fostering a culture of learning and collaboration within organizations.
Large language models powered by generative AI are at the forefront of this democratization. These models can understand and generate human-like text, allowing users to engage in conversational knowledge exchange. Workers can now ask questions, seek guidance, and obtain valuable insights from these large language models, enhancing their productivity and problem-solving capabilities.
The conversational nature of democratized generative AI opens up new possibilities for how we interact with and access knowledge. Instead of sifting through countless documents or searching for specific information, employees can engage in natural language conversations with AI-powered systems.
“Democratized generative AI enables organizations to create a dynamic, conversational knowledge ecosystem, where workers can easily access the information they need in a natural and intuitive manner.”
This conversational knowledge approach not only enhances efficiency but also promotes knowledge sharing and collaboration across teams. With democratized generative AI, organizations can foster a culture of continuous learning where employees can tap into the collective wisdom and expertise of their colleagues.
As democratized generative AI continues to evolve, it is set to revolutionize how enterprises operate, enabling disruption at scale and driving innovation across industries. The democratization of knowledge and skills empowers workers and organizations to thrive in an increasingly complex and competitive business landscape.
AI Trust, Risk, and Security Management
As AI becomes more democratized and accessible, organizations must prioritize AI trust, risk, and security management (TRiSM) to ensure decision-making accuracy and protect against illegitimate information. According to Gartner, implementing AI TRiSM controls can significantly enhance decision-making accuracy by eliminating up to 80% of illegitimate information.
AI TRiSM involves implementing measures and processes to mitigate the downsides and risks associated with AI technologies. This includes addressing bias, data privacy, and cybersecurity and ensuring AI systems adhere to ethical guidelines. By implementing robust TRiSM practices, organizations can build trust in their AI systems and improve the reliability of their decision-making processes.
One key aspect of AI TRiSM is the establishment of controls and frameworks that assess the trustworthiness of AI algorithms and models. These controls help organizations evaluate the reliability, fairness, and transparency of AI systems, ensuring that they align with regulatory requirements and business objectives. Additionally, AI TRiSM includes measures to identify and manage potential risks associated with AI implementation, such as algorithmic biases, data breaches, and malicious attacks.
Organizations prioritizing AI trust, risk, and security management can mitigate the risks of AI implementation and maximize the benefits of AI technologies. By ensuring decision-making accuracy and protecting against illegitimate information, businesses can leverage AI to drive innovation, improve efficiency, and gain a competitive edge in the digital landscape.
In today’s rapidly evolving technological landscape, AI-augmented development is becoming increasingly crucial for organizations to stay competitive. AI-assisted software development tools are revolutionizing how developers design, code, and test applications, enhancing developer productivity and enabling the creation of impactful business applications.
By leveraging AI technologies, developers can automate tedious and repetitive tasks, allowing them to focus on more complex and strategic aspects of application development. AI tools provide intelligent suggestions, automate code generation, and assist in debugging, significantly reducing the time and effort required to build high-quality applications.
Furthermore, AI-augmented development opens up new possibilities for innovation. Developers can harness the power of AI to integrate intelligent features into their applications, such as natural language processing, image recognition, and predictive analytics. This enables organizations to deliver advanced and personalized user experiences, enhancing customer satisfaction and driving business growth.
“AI-augmented development is transforming the way we build applications, revolutionizing developer productivity and enabling the creation of impactful business solutions.”
The Benefits of AI-Augmented Development
AI-augmented development offers several key benefits for organizations:
- Improved Developer Productivity: AI tools automate repetitive tasks, allowing developers to focus on more complex and strategic aspects of application development.
- Enhanced Application Quality: AI-assisted development tools provide intelligent suggestions and automate code generation, leading to higher-quality applications with fewer bugs and issues.
- Innovation and Differentiation: By integrating AI capabilities into applications, organizations can deliver advanced and personalized user experiences, setting themselves apart from competitors.
- Faster Time-to-Market: AI tools expedite the development process, enabling organizations to release applications more quickly and gain a competitive edge in the market.
|Benefits of AI-Augmented Development
|Improved Developer Productivity
|Automates repetitive tasks, allowing developers to focus on more strategic aspects of application development.
|Enhanced Application Quality
|Provides intelligent suggestions and automates code generation, resulting in higher-quality applications with fewer bugs.
|Innovation and Differentiation
|Enables the integration of AI capabilities, delivering advanced and personalized user experiences.
|It expedites the development process, enabling organizations to release applications more quickly.
Intelligent applications are revolutionizing the way businesses operate, as they can adapt and respond autonomously to user needs dynamically. These applications leverage AI-based services to augment or automate work, delivering personalized experiences and optimized outcomes. With learned adaptation, intelligent applications continuously improve performance, making them invaluable assets in today’s rapidly changing digital landscape.
Using AI technologies, intelligent applications can understand and interpret complex data, enabling them to make informed decisions in real time. By leveraging machine learning algorithms and advanced analytics, these applications can uncover valuable insights and drive actionable results. Whether predicting customer behavior, automating repetitive tasks, or enhancing decision-making processes, intelligent applications are reshaping industries.
Intelligent applications are reshaping industries across the board, leveraging AI-based services to deliver personalized experiences and optimized outcomes.
One example of an intelligent application is a virtual assistant that learns from user interactions and adapts its responses accordingly. These virtual assistants, powered by natural language processing and machine learning algorithms, can interpret user queries, understand context, and provide accurate and relevant information. As they continuously learn and improve, virtual assistants become more efficient at assisting users, simplifying complex tasks, and enhancing overall productivity.
Benefits of Intelligent Applications:
- Personalized Experiences: Intelligent applications deliver tailored experiences based on user preferences and behavior.
- Automation and Efficiency: By automating repetitive tasks, intelligent applications free up time for employees to focus on higher-value activities.
- Improved Decision-Making: These applications provide real-time insights and predictive analytics, enabling better-informed decision-making.
- Enhanced Customer Satisfaction: With personalized recommendations and timely assistance, intelligent applications can significantly improve customer satisfaction and retention.
|Intelligent applications deliver tailored experiences based on individual user preferences and behavior.
|Automation and Efficiency
|By automating repetitive tasks, intelligent applications free up time for employees to focus on higher-value activities.
|These applications provide real-time insights and predictive analytics, enabling better-informed decision-making.
|Enhanced Customer Satisfaction
|With personalized recommendations and timely assistance, intelligent applications can significantly improve customer satisfaction and retention.
When maximizing productivity and achieving business goals, the workforce plays a crucial role. That’s why organizations are increasingly prioritizing the concept of an augmented-connected workforce. This strategy leverages intelligent applications and workforce analytics to enhance the overall experience of employees, improve skill development, and drive greater efficiency.
By utilizing intelligent applications, employees can benefit from context and guidance, enabling them to make more informed decisions and take action promptly. These applications adapt dynamically to individual users, ensuring the right information is delivered at the right time. Additionally, workforce analytics provides valuable insights into employee performance, enabling organizations to identify areas for improvement and allocate resources effectively.
Benefits of an Augmented-Connected Workforce
- Enhanced workforce well-being: Using intelligent applications and workforce analytics contributes to a positive work environment, promoting employee satisfaction and well-being.
- Skill development: By leveraging technology to provide context and guidance, organizations can accelerate employee skill development, ensuring they have the necessary knowledge to excel in their roles.
- Improved productivity: Intelligent applications streamline workflows and automate repetitive tasks, allowing employees to focus on more strategic and impactful work. This leads to increased productivity and efficiency.
“An augmented-connected workforce strategy enables organizations to unlock the full potential of their employees and create a thriving work environment.”
Table: Comparison of Workforce Analytics Tools
|Real-time data analysis, predictive analytics, customizable dashboards
|Allows for proactive decision-making, identifies trends and patterns, improves workforce planning
|Employee performance tracking, skills assessment, talent acquisition analytics
|Helps identify high-performing employees, facilitates targeted training and development, enhances recruitment strategies
|Workforce segmentation, benchmarking, employee engagement measurement
|Enables tailored strategies for different employee groups provides insights into the effectiveness of engagement initiatives
The augmented-connected workforce strategy is gaining momentum as organizations recognize the significant impact it can have on their success. By leveraging intelligent applications and workforce analytics, companies can optimize their workforce, unlock employee potential, and stay ahead in a rapidly evolving business landscape.
Continuous Threat Exposure Management
In today’s rapidly evolving digital landscape, organizations face constant threats to their security and assets. To effectively combat these risks, a systematic approach known as continuous threat exposure management (CTEM) has emerged as a critical strategy. CTEM evaluates the accessibility, exposure, and exploitability of digital and physical assets, aligning assessments and remediation efforts with threat vectors or business projects.
A key component of CTEM is conducting vulnerability assessments to identify weaknesses or vulnerabilities within an organization’s infrastructure. This process helps uncover potential entry points for attackers and allows for proactive measures to be implemented. By understanding and addressing these vulnerabilities, organizations can significantly reduce the risk of security breaches and data compromises.
One of the key advantages of CTEM is its ability to prioritize security investments based on specific threat vectors or business projects. This approach ensures that resources are allocated to areas that are most susceptible to attacks or have the greatest potential impact. By adopting a proactive and targeted security strategy, organizations can mitigate risks and enhance their overall security posture.
Benefits of Continuous Threat Exposure Management:
- Proactive identification and mitigation of vulnerabilities
- Focused allocation of security resources
- Enhanced overall security posture
- Reduced risk of security breaches and data compromises
- Alignment of security efforts with business goals and projects
By implementing a continuous threat exposure management program, organizations can stay one step ahead of potential threats and keep their sensitive data and assets secure. This systemic approach not only minimizes the risk of security breaches but also ensures that security efforts are aligned with business objectives.
|Benefits of Continuous Threat Exposure Management
|Proactive identification and mitigation of vulnerabilities
|Focused allocation of security resources
|Enhanced overall security posture
|Reduced risk of security breaches and data compromises
|Alignment of security efforts with business goals and projects
Table: Benefits of Continuous Threat Exposure Management
In the era of advanced technology, we are witnessing the rise of machine customers – non-human economic actors participating in commercial transactions. These “machine customers” are devices or algorithms that can obtain goods or services in exchange for payment. With the increasing connectivity of devices and the Internet of things (IoT), Gartner predicts that by 2028, there will be approximately 15 billion connected products acting as customers, opening up new revenue potential for businesses.
The concept of machine customers brings about a shift in the traditional buyer-seller relationship, as organizations now need to consider how to support these non-human actors. This involves developing systems and infrastructure that can effectively interact with algorithms and devices, ensuring smooth transactions and frictionless experiences. By embracing this trend, businesses can tap into new sources of revenue and capitalize on the growing market of machine customers.
Supporting machine customers requires organizations to adapt their processes and technologies. They must create seamless integration points for algorithms and devices, enabling them to interact with their systems and services. Additionally, businesses must ensure the security and privacy of these interactions, protecting both customer data and their assets. As the number of machine customers continues to grow, organizations that are prepared to cater to these non-human actors will have a competitive advantage in the market.
|Benefits of Supporting Machine Customers
|1. Revenue Potential: By serving machine customers, organizations can tap into new revenue streams, maximizing their business opportunities.
|2. Market Differentiation: Supporting machine customers sets businesses apart from competitors and showcases their ability to adapt to emerging trends.
|3. Technological Innovation: Developing the infrastructure to accommodate machine customers drives organizations to advance their technologies and stay at the forefront of industry trends.
|4. Competitive Advantage: Organizations that embrace machine customers position themselves as forward-thinking and customer-centric, gaining a competitive edge.
As we move towards a future where machine customers play a prominent role in commerce, businesses must adapt and align their strategies accordingly. By supporting algorithms and devices as non-human economic actors, organizations can harness the revenue potential and stay ahead in a rapidly evolving digital landscape.
Sustainable technology plays a crucial role in achieving environmental and social objectives. It involves using digital solutions to promote resource efficiency, innovation, and risk mitigation. Embracing sustainable technology not only benefits organizations by reducing their environmental impact but also contributes to long-term business success.
By adopting sustainable technology practices, organizations can optimize resource utilization, minimize waste generation, and lower energy consumption. This not only helps conserve natural resources but also reduces operational costs. Additionally, sustainable technology fosters a culture of innovation by encouraging the development of eco-friendly products and services that meet evolving market demands.
“Sustainable technology promotes resource efficiency, innovation, and risk mitigation to achieve environmental and social objectives.”
Risk mitigation is another crucial aspect of sustainable technology. By employing environmentally friendly practices and technologies, organizations can reduce their exposure to regulatory and reputational risks. Sustainable technology also ensures compliance with environmental standards and regulations, protecting organizations from legal penalties and negative public perception.
Table: Benefits of Sustainable Technology
|Promotes optimal utilization of resources and reduces waste.
|Drives the development of eco-friendly products and services.
|Reduces exposure to regulatory and reputational risks.
|Minimizes operational expenses through energy efficiency measures.
In conclusion, sustainable technology is a vital component of modern businesses. By embracing digital solutions prioritizing environmental and social objectives, organizations can enhance their resource efficiency, drive innovation, mitigate risks, and achieve long-term success. Committing to sustainable technology demonstrates a commitment to sustainable development and positions organizations as leaders in their respective industries.
In today’s rapidly evolving digital landscape, organizations are increasingly turning to platform engineering to drive productivity, enhance user experiences, and expedite the delivery of business value. Platform engineering involves the creation and maintenance of self-service internal development platforms that provide developers with the tools and resources they need to build innovative solutions. By leveraging these platforms, companies can streamline the development process, foster collaboration, and accelerate time-to-market for new products and services.
One of the key benefits of platform engineering is the empowerment it provides to developers. With self-service internal development platforms, developers can access many pre-built components, frameworks, and APIs, eliminating the need to reinvent the wheel for every project. This not only saves time but also ensures consistency and reduces the risk of errors. Additionally, these platforms often include robust testing and deployment pipelines, enabling developers to focus on coding rather than infrastructure setup and maintenance.
Furthermore, platform engineering enables organizations to create a unified ecosystem where teams can collaborate and share knowledge. By providing a centralized platform, companies can break down silos and encourage cross-functional collaboration, leading to more efficient development processes and improved outcomes. Moreover, these platforms often include features such as chatbots, documentation repositories, and forums, fostering communication and knowledge-sharing among developers.
In conclusion, platform engineering is crucial in optimizing IT initiatives and driving business success. By investing in self-service internal development platforms, organizations can boost productivity, enhance user experiences, and expedite the delivery of business value. With the right platforms, companies can empower their development teams, foster collaboration, and stay ahead in today’s competitive market.
Conclusion: Planning your 2024 IT Initiatives
Strategic planning plays a crucial role in optimizing IT initiatives for business success. By considering Gartner’s top 10 strategic technology trends for 2024 and aligning these initiatives with business goals, organizations can stay ahead in the rapidly changing technological landscape.
Planning for 2024 IT initiatives involves taking into account trends such as democratized generative AI, AI trust, risk and security management, AI-augmented development, intelligent applications, augmented-connected workforce, continuous threat exposure management, machine customers, sustainable technology, platform engineering, and industry cloud platforms.
By leveraging these trends and implementing them effectively, IT leaders can ensure long-term success and enhance business performance. It is crucial to prioritize strategic planning in order to optimize IT initiatives, stay competitive, and pave the way for a successful future.
FAQs: Planning your 2024 IT Initiatives
What are the top 10 strategic technology trends for 2024?
The top 10 strategic technology trends for 2024, as identified by Gartner, include democratized generative AI, AI trust, risk and security management, AI-augmented development, intelligent applications, augmented-connected workforce, continuous threat exposure management, machine customers, sustainable technology, platform engineering, and industry cloud platforms.
How will democratized generative AI impact businesses?
Democratized generative AI provides users with access to vast amounts of information, democratizes knowledge and skills, and enables enterprises to connect their workers with knowledge in a conversational style. This trend is expected to facilitate disruption at scale and drive several other trends.
Why is AI trust, risk, and security management important?
With the democratization of AI access, there is a need for AI trust, risk, and security management (TRiSM) to mitigate the downsides and ensure decision-making accuracy. Implementing AI TRiSM controls can enhance decision-making accuracy by eliminating up to 80% of illegitimate information.
How does AI-augmented development benefit software engineers?
AI-augmented development involves using AI technologies to assist software engineers in designing, coding, and testing applications. This improves developer productivity and allows them more time creating impactful business applications.
What are intelligent applications capable of?
Intelligent applications have the capability of learned adaptation, meaning they can respond appropriately and autonomously. These applications use AI-based services to augment or automate work and deliver experiences that dynamically adapt to individual users.
What is the goal of an augmented-connected workforce strategy?
The augmented-connected workforce strategy aims to maximize the value of employees by leveraging intelligent applications and workforce analytics. This strategy enhances the workforce’s well-being, skill development, and overall experience.
What is continuous threat exposure management?
Continuous threat exposure management is a systemic approach to evaluating the accessibility, exposure, and exploitability of digital and physical assets. It aligns assessments and remediation efforts with threat vectors or business projects, uncovering vulnerabilities and unmatchable threats.
How are machine customers defined?
Gartner defines machine customers as non-human economic actors that obtain goods or services in exchange for payment. By 2028, there will be around 15 billion connected products acting as customers, which will have a significant impact on various industries.