To prepare your business for AIGC, eight key questions CIOs should focus on

Companies now recognize that they face the job of preparing their data, people and processes to harness the potential of AIGC. According to a recent Accenture survey, nearly all (99%) executives say they plan to expand investments in this technology, so leaders will need to rethink how work gets done. CIOs are particularly well-positioned to help their organizations prepare for AIGC, given their cross-functional view of business processes and deep understanding of how technology can be leveraged to reshape operations and deliver value. However, leaders It can be difficult to take the next steps necessary to advance this technology. For example, a recent report from Accenture Strategy found that 67% of senior technology leaders believe that a lack of technology fluency among their peers is a factor in integrating technology into Major obstacles in strategy development. The key to getting this right is understanding and linking AIGC and innovation to business success.

Effectively integrating AI into the business starts with setting clear goals to define business value and aligning the AI ​​strategy with these overarching business goals. Many CIOs who are already responsible for driving their company’s digital agenda have begun leveraging AI solutions to deliver the most critical elements of their strategy, with AIGC at their core. They recognize that building a robust infrastructure is an important first step in their enterprise's journey to enterprise readiness, which will position the enterprise to scale AIGC with maximum efficiency and effectiveness and promote successful adoption across the enterprise. In fact, 98% of global executives agree that AI-based models will play an important role in their companies’ strategies over the next three to five years.

What can CIOs do now? In designing our new Enterprise Navigation Map for AI applications, we identified the following eight questions CIOs should ask themselves to test whether their organizations are ready for AI:

We should use Which underlying model? In other words, what architecture best ensures that model output is relevant, reliable and usable. The number of AIGC models and vendors is changing with the times. Choosing one requires careful consideration to ensure it meets the needs and requirements of your business.

How do I enable access to these models? There are two main approaches that enterprises can take to deploy these models, each with their advantages. Do you need the "full control" option of accessing your model on your own public cloud, or do you plan to access AIGC from an external provider as a managed cloud service, allowing for speed and simplicity?

us How will models be adapted to their own data for consumption? AI, along with data, has become a key component of a strong digital core – a major source of competitive advantage for today’s enterprises. Getting the most value from AIGC requires leveraging your proprietary data to improve accuracy, performance and usefulness within your enterprise. Consider various ways to tweak pre-trained models with your own data to create custom tools relevant to your business and employees.

What is our overall enterprise readiness? First, consider your integration and interoperability framework. Are your foundation models safe and secure for use? The adoption of second-generation AI brings new urgency for every company to have a robust and responsible AI compliance program. Compliance with legal, regulatory, and ethical standards is imperative in building a sound AI foundation, as is managing controls during the design phase to assess the potential risks of AIGC use cases.

What we need to rewrite is: What is our carbon footprint? Although the base model is pre-trained, it still consumes a lot of energy during adaptation and fine-tuning. The magnitude of the impact depends on how the underlying model is purchased, promoted, or built. If left unchecked, this can lead to consequential environmental impacts, making it even more important to make the right choice between business and the environment, requiring trade-offs to be considered sustainably

How we develop AIGC applications Industrialization? The next step after selecting and deploying a base model is to consider what new frameworks may be needed to industrialize and accelerate application development. Rapid engineering is quickly becoming a differentiating capability. By industrializing your processes, you can build an efficient, well-designed corpus of prompts and templates that are aligned with a specific business function or domain.

What do we need to operate AIGC at scale? The complexity that comes with upending existing processes and reinventing the way we work with new technologies is a challenge in itself. But finding ways to monetize the value generated by AI at scale should be on every CIO's mind. AI, by virtue of its capabilities, is fertile ground for nurturing innovation. By virtue of their role, the CIO is well connected throughout the enterprise fabric. Finding opportunities for cross-functional collaboration will lead to new insights and informed decisions, promoting open innovation within your business and across the industry, while unlocking new growth opportunities.

Where do we start and how do we continue to guide our way forward? AIGC productivity is key as we move towards our next important milestone. As a CIO, software development is an area ripe for making an impact. Drill down and share your use cases to showcase your team’s real-world experience and get real results from pilot projects. For example, Accenture last year studied how AIGC could help our software development teams launch products faster. We use AIGC tools like Amazon CodeWhisperer and see significant improvements in developer productivity and code quality. The overall release cycle is also faster, which helped us deliver the new AWS Velocity platform in record time. By becoming your own case study, you can show how to make it a reality and guide the rest of the business on where to experiment and test, move quickly, and expand use quickly. This way, you'll be better able to guide your stakeholders on where technology is going, how fast it's moving, and what results your business can expect

A NEW INflection Point

For every industry, Technology is critical to achieving stronger growth, greater agility and greater resilience, and AIGC is a key differentiator. So much so that this technology will fundamentally change work and life as we know it. Our research found that 40% of work time is affected by large language models. A closer look reveals that across IT and technology roles, 73% of total work hours can be transformed by AIGC, making it important to create the right foundation for scaling AIGC safely, responsibly, cost-effectively and in a way that delivers real business value Sexuality comes to the fore.

CIOs have a significant opportunity to step up to the plate and help their organizations navigate the complexities of today’s rapidly changing digital landscape. Using breakthrough advances in AI and a holistic performance approach that looks at the entire enterprise, they can find ways to make technology work for them in order to set new performance boundaries and redefine themselves and the industries in which they operate.

The readiness of an enterprise is the starting point that drives everything, and the CIO is the key to unlocking value and creating enterprise opportunities for the future

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