Lenovo recently released a comprehensive report titled ‘CIO Playbook 2024 – It’s all about Smarter AI,’ which highlights the current state of artificial intelligence (AI) adoption in the Asia-Pacific (AP) region. The report, based on a survey of over 900 Chief Information Officers (CIOs), reveals significant insights into the plans, priorities, and challenges of organizations in AP regarding AI.
One of the key findings of the report is that organizations in AP are set to increase their AI spending by 45% in 2024 compared to the previous year. This indicates a growing recognition of the potential of AI technologies to drive innovation and business outcomes. Interestingly, the report also highlights a shift in CIO priorities, with AI emerging as the top priority for CIOs in AP, surpassing revenue and profit growth.
Customer experience and satisfaction have also gained prominence as top priorities, reflecting a strategic shift towards a customer-centric approach in the rapidly evolving business landscape. Organizations are embracing cutting-edge innovations to enhance the customer experience and gain a competitive edge.
However, the report also reveals a divergence between business leaders and CIOs when it comes to AI technologies. While business leaders prioritize GenAI to enhance customer experience and drive outcomes, CIOs express cautious optimism. CIOs prioritize AI technologies that address security, infrastructure, and talent considerations.
The report highlights that in AP, India and Korea lead in GenAI investments, followed by ASEAN+, ANZ, and Japan. This indicates varying levels of adoption and investment patterns across different markets in the region.
Additionally, the report sheds light on the deployment of AI workloads in AP organizations. On average, 31% of AI workloads will be deployed on the public cloud, 28% on the private cloud, and 28% on hybrid cloud solutions. This balanced approach to workload deployment reflects the need for organizations to leverage the strengths of different cloud environments.
Moreover, the report emphasizes the increasing importance of edge computing in AI. Approximately 13% of AI workloads will be allocated to traditional data centers, highlighting the significance of bringing AI capabilities closer to the source of data generation.
A major challenge identified by CIOs in AP is the reliance of GenAI on extensive datasets, which many organizations lack. This poses a hurdle in fully realizing the potential of AI. Furthermore, job security and the lack of requisite AI skills are top concerns for IT employees in mature markets. It is evident that organizations need to bridge the talent gap by upskilling existing employees and exploring internal solutions.
The ‘CIO Playbook 2024’ study covers various markets in AP, including ASEAN+, Japan, India, Korea, and ANZ, spanning multiple industry verticals. The report underscores Lenovo’s AI for All vision and aims to provide insights into the challenges, opportunities, and priorities in AI adoption for CIOs in 2024.
Overall, the report highlights the increasing adoption and importance of AI in AP, as organizations strive for innovation and customer-centricity. As AI continues to shape the future of businesses, addressing challenges related to data, talent, and technology becomes crucial for organizations to fully harness the potential of AI.
Frequently Asked Questions (FAQ)
1. What is GenAI?
GenAI refers to a specific type of AI technology that focuses on enhancing customer experience and driving outcomes. It prioritizes the use of AI in improving various aspects of customer interaction and satisfaction.
2. How are AI workloads deployed in AP organizations?
On average, AP organizations deploy AI workloads across different cloud environments. Approximately 31% of AI workloads are deployed on the public cloud, 28% on the private cloud, and an additional 28% on hybrid cloud solutions. Additionally, around 13% of AI workloads are allocated to traditional data centers.
3. What are the challenges in AI adoption?
The challenges in AI adoption include the reliance on extensive datasets, which many organizations lack, and the shortage of requisite AI skills. These challenges pose hurdles in fully leveraging the potential of AI in organizations.
Sources:
– [Lenovo](https://lenovo.com/)
Lenovo recently released a comprehensive report titled ‘CIO Playbook 2024 – It’s all about Smarter AI,’ which provides insights into the current state of artificial intelligence (AI) adoption in the Asia-Pacific (AP) region. The report, based on a survey of over 900 Chief Information Officers (CIOs), reveals several significant findings and trends in the industry.
According to the report, organizations in AP are expected to increase their AI spending by 45% in 2024 compared to the previous year. This growth demonstrates the growing recognition of the potential of AI technologies to drive innovation and business outcomes. It also highlights a shift in CIO priorities, with AI emerging as the top priority, surpassing revenue and profit growth.
Customer experience and satisfaction have gained prominence as top priorities for organizations in AP. This reflects a strategic shift towards a customer-centric approach in the rapidly evolving business landscape. Companies are embracing cutting-edge innovations to enhance the customer experience and gain a competitive edge.
However, the report also reveals a divergence between business leaders and CIOs in their priorities for AI technologies. While business leaders prioritize GenAI to enhance customer experience and drive outcomes, CIOs express cautious optimism and prioritize addressing security, infrastructure, and talent considerations.
The report further highlights the varying levels of adoption and investment patterns across different markets in the AP region. India and Korea lead in GenAI investments, followed by ASEAN+, ANZ, and Japan. This indicates different maturity levels and strategies for AI adoption across these markets.
In terms of deployment, the report reveals that AP organizations adopt a balanced approach. On average, 31% of AI workloads are deployed on the public cloud, 28% on the private cloud, and 28% on hybrid cloud solutions. This reflects the need for organizations to leverage the strengths of different cloud environments.
The report emphasizes the increasing importance of edge computing in AI. Approximately 13% of AI workloads will be allocated to traditional data centers, highlighting the significance of bringing AI capabilities closer to the source of data generation.
One of the major challenges identified by CIOs in AP is the reliance of GenAI on extensive datasets, which many organizations lack. This poses a hurdle in fully realizing the potential of AI. Additionally, job security and the lack of requisite AI skills are top concerns for IT employees in mature markets. Organizations need to bridge the talent gap by upskilling existing employees and exploring internal solutions.
The ‘CIO Playbook 2024’ study covers various markets in AP, including ASEAN+, Japan, India, Korea, and ANZ, spanning multiple industry verticals. Businesses in the region are increasingly adopting AI to drive innovation and achieve customer-centricity. However, addressing challenges related to data, talent, and technology becomes crucial for organizations to fully harness the potential of AI.
Frequently Asked Questions (FAQ)
1. What is GenAI?
GenAI refers to AI technology that focuses on enhancing customer experience and driving outcomes. It prioritizes the use of AI in improving various aspects of customer interaction and satisfaction.
2. How are AI workloads deployed in AP organizations?
On average, AP organizations deploy AI workloads across different cloud environments. Approximately 31% of AI workloads are deployed on the public cloud, 28% on the private cloud, and an additional 28% on hybrid cloud solutions. About 13% of AI workloads are allocated to traditional data centers.
3. What are the challenges in AI adoption?
The challenges in AI adoption include the reliance on extensive datasets, which many organizations lack, and the shortage of requisite AI skills. These challenges pose hurdles in fully leveraging the potential of AI in organizations.
Sources:
– Lenovo
The source of the article is from the blog procarsrl.com.ar