Summary:
New research indicates that a significant percentage of enterprise-scale organizations have actively deployed or are exploring the use of artificial intelligence (AI). The study, commissioned by IBM and conducted by Morning Consult, surveyed over 8,500 IT professionals in various countries. The findings reveal that 42% of the surveyed companies have already deployed AI in their businesses, while an additional 40% are actively exploring or experimenting with the technology. Of those companies currently leveraging AI, 59% have accelerated their investments and rollout of AI in the past 24 months. However, several barriers still hinder widespread adoption, including limited AI skills and expertise, data complexity, and ethical concerns.
Leading the Way:
The research highlights certain countries that are at the forefront of AI adoption. Organizations in India, the UAE, Singapore, and China are leading the charge, while Spain, Australia, and France lag behind. These findings suggest that global organizations are at different stages of embracing AI in their operations.
Industry Focus:
The financial services industry is at the forefront when it comes to AI deployment, with approximately half of IT professionals in this sector reporting active AI usage. The telecommunications industry follows closely behind, with 37% of IT professionals indicating that their companies are deploying AI.
Key Drivers:
The increased accessibility of AI tools, the need to reduce costs, and the automation of key processes are driving AI adoption among surveyed companies. According to IT professionals, the most crucial changes in AI include tools that are easier to deploy and the prevalence of data, AI, and automation skills.
Use Cases:
Companies exploring or deploying AI are employing the technology in a variety of areas, including IT automation, security and threat detection, business analytics, and automating customer or employee self-service. The diverse range of applications demonstrates the versatility of AI in addressing different business challenges.
Barriers to Entry:
Despite the growing interest and adoption of AI, organizations face several obstacles. Limited AI skills and expertise, data complexity, ethical concerns, scalability issues, high costs, and a lack of AI model development tools are among the top impediments. These challenges indicate that organizations need to invest in addressing skill gaps and creating a supportive ecosystem for AI integration.
Building Trustworthy AI:
IT professionals recognize the need for transparent and ethical AI practices. Consumers are more likely to choose services from companies with transparent AI practices, and organizations understand the importance of explaining how AI models reach decisions. However, the study reveals that only a fraction of companies are actively taking steps to reduce bias, track data provenance, and develop ethical AI policies.
The Way Forward:
The research suggests that AI adoption is on the rise, with more organizations embracing this transformative technology. By addressing barriers such as skill shortages and ethical concerns, businesses can unlock the full potential of AI and drive innovation across various industries. As AI continues to evolve, it is essential for organizations to prioritize reskilling, foster partnerships with AI experts, and establish governance frameworks to ensure responsible and beneficial AI deployment.
The source of the article is from the blog qhubo.com.ni