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It's a new year, a new era. The enterprise technology landscape is exploding, especially with advances in AI. Leaders face increasing technology complexity and pressure to deliver transformative business value. According to Accenture research, 97% of companies believe generative AI will transform their organization and industry. Additionally, 95% plan to increase their technology spend as a percentage of their revenue over the next year.
To explore new performance frontiers, companies are eager to innovate in the cloud.
Companies are no longer solely focused on reducing technology debt and increasing efficiency. Today, it's important to use the cloud to solve core business challenges, unlock new experiences, and realize new and more value. We're talking about moving the needle from technology debt to technology wealth.
As we head into 2024, I see four imperatives converging to help leaders move the needle toward reinventing their businesses and transforming value.
1. Future-ready architecture
In the era of compressed conversions, the need for speed is critical. But rushing can also lead to waste. Controlled speed is most important.Optimization can be seen as solving speedachieving the right balance of speed and direction. Achieving this requires leaders to be intentional about strategy, execution, and future-ready architecture.
Modern architectures are modular and enable access to new technologies such as generative AI. Purposeful architecture requires purposeful diversification, including not just a hybrid/multicloud strategy, but also a data strategy, a large language model (LLM) strategy, a cloud-to-edge strategy, and more.
For example, consider how you can get the most value from the cloud from the edge. When faced with data sovereignty issues, how can architecture best address the issue?
As cloud initiatives increase, leaders must focus on architecture as an enabler of new value. Today, any business can become a platform business. The puzzle becomes combining capabilities to create a cloud-based platform that drives new business opportunities or generates new revenue.
2. Modernize your entire enterprise
Pressures to transform have led to a wave of cloud migration. Enterprises are now moving away from pure lift-and-shift migrations to tackling more complex, business-critical systems and applications and enabling more cloud-native capabilities.
You must strengthen your digital core to integrate new technologies and unlock value across the cloud continuum. This means building and modernizing across all layers of infrastructure, networks, applications, data, security, as well as people and processes.
For example, new research shows that Network modernization Budgets are significantly behind the digital transformation of enterprises. Meanwhile, 87% of companies say the data demands of their AI systems exceed the capabilities of their current networks. Network modernization is a prerequisite for integrating technologies such as AI and enabling innovation.
Similarly, you can't unlock the potential of advanced AI unless your data is in the right place. Data is only truly useful when it is freed from functional silos, modernized in the cloud, and integrated into a unified view across the enterprise.
This modernization imperative includes learning how to operate in the cloud. Adopting FinOps is key to better controlling costs and guiding value-based decision making.
3. Enabling next level intelligence
Once modernization is complete, you can begin to embrace new applications of AI and generative AI that bring further innovation.
Applying AI to the modern data core, including data at the edge, creates significant value. edge implementation Anything that is highly integrated with cloud, data, and AI can create powerful use cases.
Take Tesla, for example, which uses edge data to help train its AI systems. internal That car. Or, some life sciences companies are applying generative AI to lab edge data to accelerate drug discovery.
When applying AI, it is important to be business value-driven rather than technology-driven. Remember: There are many different types of AI, and not all cases are best suited for generative AI. Consider which type you need where.
As technology expands, a responsible AI approach will also become more important. This means taking intentional actions to create value and build trust by protecting businesses and their stakeholders from the potential risks of AI.
4. Don't try to do it alone
Now that you know where you want to go, how do you get there? Hint: It's not just about your own strength. In a world of high innovation and countless design and investment decisions, leveraging the value of ecosystems is critical. This means two things for him:
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Intentional engagement with an ecosystem of hyperscalers, SaaS providers, and partners. The best way to accelerate transformative value is to leverage innovations that are already being developed.
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Hire a trusted partner to guide your decisions and implement the latest practices and capabilities at every stage of your cloud journey.
As leaders look to leverage cloud technology to create real, sustainable value, they may need to prioritize speed over intent.
Today's businesses need to think bigger and modernize their entire enterprise with a future-ready mindset. Controlling your speed, along with a deliberate strategy, is paramount. It recognizes the needs of the business, the interdependence of each technology, and the potential for partnerships to do more, faster and better.
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