IT基础设施的未来（英文版）_26页_3mb

Summary of "The Future of IT Infrastructure"

Core Content

This report explores the evolving landscape of IT infrastructure in the context of the new machine age, emphasizing the shift from traditional cost-cutting approaches to a more agile, secure, and customer-centric model. The study highlights the increasing importance of technologies like hybrid cloud, edge computing, robotic process automation (RPA), and artificial intelligence (AI) in enabling businesses to stay competitive.

Main Viewpoints

• Cybersecurity as a Priority: Cybersecurity is becoming a critical business priority, not just an IT concern. By 2020, it will be the top priority for most businesses, as security breaches can lead to significant financial and reputational losses.

• Customer Experience Focus: Enhancing customer experience through better data management and AI-driven personalization is a top priority. Companies are investing in technologies that allow for faster and more personalized customer interactions.

• Innovation as a Necessity: Innovation is no longer a luxury but a necessity in the digital economy. Businesses must shorten their time-to-market for new products and services, often by adopting external ecosystems and platforms.

• Cost-Cutting Takes a Backseat: As companies automate and innovate, cost-cutting is no longer the primary focus. Instead, investments in technologies that support business transformation and agility are becoming more important.

• AI Integration: AI is set to revolutionize IT infrastructure, influencing areas like cybersecurity, customer experience, and application development. It is expected to play a central role in how IT infrastructure is procured and consumed.

Key Information

• HEROES Framework: This framework outlines the five key areas of transformation: Hybrid Cloud, Edge Computing, Robotic Process Automation (RPA), Obsolescence of Old IT, and Enterprise Security. AI is a common thread across all these areas.

• Hybrid Cloud Adoption: Hybrid cloud is becoming the standard for IT infrastructure, enabling agility and scalability. By 2020, it is projected that 45% of IT workloads will be in hybrid cloud environments.

• Edge Computing Growth: Edge computing is gaining traction due to the need for real-time data processing. By 2020, 35% of executives expect to store and act on IoT data at the edge, rather than in centralized data centers.

• RPA and AI in IT: RPA is expected to be essential for IT performance, with 55% of companies piloting or planning to adopt it. AI will be integrated into RPA to enhance automation capabilities, with 64% of executives planning to use machine learning to predict IT infrastructure needs.

• Legacy System Obsolescence: Outdated IT systems are a major hindrance to digital transformation. Companies are moving toward asset-light models, reducing reliance on legacy systems and investing in more flexible and scalable solutions.

Business Priorities and IT Role Evolution

• Shift in IT Metrics: IT performance will be measured not just on cost reduction and customer satisfaction but also on innovation, agility, and the ability to derive business value from data.

• Collaboration and Integration: IT must work closely with business units to foster innovation and improve customer engagement. This includes the use of intelligent assistants, self-service portals, and AI-driven analytics.

• Data Management Challenges: Only 44% of data collected is currently analyzed, and 17% of companies have created products and services solely based on data. The integration of big data and AI will be crucial in addressing this gap.

Conclusion

The future of IT infrastructure lies in agility, security, and customer-centric innovation. Companies must embrace new technologies and shift their focus from cost-cutting to strategic investment. The HEROES framework provides a structured approach to guide this transformation, ensuring that IT infrastructure can support the rapid changes required in the new machine age.