Recently, Stibo Systems, a global leader in master data management, released the latest report titled 'AI: A High-Risk Bet for Enterprises.' This report reveals that corporate leaders across various industries in the United States are increasingly relying on artificial intelligence (AI) for daily decision-making. However, there is a notable lack of preparedness in AI literacy, ethical usage, and organizational readiness, which raises significant concerns. Image source note: The image is generated by AI, licensed through service provider Midjourney Stibo System.

Recently, Deloitte conducted a survey from June 28 to August 12, 2024, among 30,252 consumers and employees in Belgium, France, Germany, Ireland, Italy, Poland, Spain, Sweden, Switzerland, the Netherlands, and the UK. The results reveal that 44% of respondents have used generative artificial intelligence (Gen AI), 22% have not used it but are familiar with it, while 34% feel unfamiliar or uncertain about generative AI tools. Approximately one-third are users from the AI generation.

Amid widespread skepticism among companies regarding generative artificial intelligence (Gen AI), consulting firm Deloitte reports challenges in bringing projects to production, while research firm Gartner predicts that many projects will be abandoned. However, a recent survey by investment bank Bank of America (BofA) reveals that Gen AI could significantly increase corporate profits. 'Analysts at BofA Global Research found that Corporate AI's

In the face of an unclear global economic situation, CEOs in Australia and around the world are increasingly enthusiastic about investing in generative artificial intelligence (Gen AI). This is the result of KPMG International's annual CEO outlook survey. According to the survey, 58% of Australian CEOs and 64% of global CEOs believe that generative AI is an important area for investment. The report also indicates that despite economic challenges, CEOs are optimistic about the future growth of their companies.

Recently, a new study has drawn attention, revealing that ChatGPT's responses reflect the cultural values of people from English-speaking and Protestant countries. The core of this study is that large language models like ChatGPT were trained on a vast amount of data from certain countries and cultures, which may lead to outputs that carry cultural biases. The research team, led by René F Kizilcec and his colleagues, examined five different versions of OpenAI's GPT.

Since the rise of ChatGPT in 2022, artificial intelligence (AI) has become a hotly debated topic worldwide, indicating that it will profoundly change business and lifestyles. However, two years later, a Forbes report reveals that the AI adoption rates are far less optimistic than expected. Only 5.4% of companies actually use AI, and this figure is expected to rise to only 6.6% by 2024. AI's application across industries is limited, mainly confined to a small scope. While discussions about generative AI are extensive, over 80% of companies with actual applications are unrelated to their business.

The 'Cloud Pulse' report released by Wipro reveals that cloud computing is developing at an astonishing pace, with generative artificial intelligence (GenAI) as a key driver. Based on a survey of over 500 senior leaders in North America and Europe, the report indicates a substantial increase in cloud investment, particularly in hybrid and public cloud solutions. Industries such as manufacturing and banking plan to ramp up their investments in hybrid cloud, focusing on public cloud. AI-driven solutions are essential for modernizing IT infrastructure, and companies prefer to adopt hybrid cloud to avoid vendor lock-in, optimize costs, and enhance integration.

A survey by Google Cloud and the National Research Group highlights the significant impact of generative AI on enterprise ROI. Among global companies surveyed, 61% adopted generative AI, with 74% achieving returns within a year and 86% reporting revenue growth exceeding 6%. AI is seen as a key driver of business growth, particularly in customer service, productivity enhancement, and process optimization, leading to a 45% overall productivity incr....

A recent survey reveals widespread concern among U.S. business leaders regarding the regulation and governance of artificial intelligence, particularly around issues of data privacy, security risks, and ethical use. The survey shows that 84% of data, privacy, and AI decision-makers support updating U.S. copyright laws to adapt to the AI era. 81% of respondents believe that big tech companies should compensate individuals whose data is used for AI training, reflecting a shift in the recognition of personal data value. Large enterprises support government regulation of AI more than small businesses do. 64% of respondents...

According to the Stack Overflow Developer Survey 2024, feedback from over 65,000 developers worldwide indicates that the usage of generative AI in the software development industry has significantly increased to 76%. However, developers' trust in AI has decreased from 77% to 72%. Despite the majority of developers (70%) not being concerned about AI replacing their jobs, believing that AI can motivate more people to enter the programming field and increase the number of developers, concerns remain regarding the accuracy of AI tools (only 43% trust), with key issues including

Recently, KPMG released a survey report on corporate AI strategy for 2024, pointing out that there is a significant transformation in the investment and application of generative artificial intelligence (GenAI) by enterprises. According to this survey, corporate leaders have realized that simply investing in AI technology is not enough; they need to actively expand the use of GenAI to create new revenue sources and enhance investment returns.Image Source Note: The image was generated by AI, and

A recent report by the renowned market research firm Gartner reveals that, based on a survey conducted by Gartner in December 2023 among 5728 customers, a significant 64% of respondents expressed a preference against the use of AI in customer service. More notably, 53% of customers stated that if they found a company's customer service using AI, they would consider switching to a competitor. These figures undoubtedly serve as a wake-up call for customer service companies actively deploying AI se

Global trust in AI has fallen to 53%, 18 months into the AI revolution. There is a widespread negative perception of AI innovation management. Only 35% of the American public trusts AI technology, a decrease compared to five years ago.

30% of Japanese university students regularly use generative AI tools like ChatGPT. 46.7% of students have used AI tools, with common applications including 'references for thesis and report writing.' The survey targeted approximately 10,000 undergraduate students from 30 universities.

A global survey indicates that artificial intelligence will be the most crucial technology field in 2024. Tech executives believe AI will bring significant breakthroughs in areas such as software development and supply chain management. Technologies like 5G networks and cloud computing will drive the advancement of AI. Experts emphasize the need to handle AI progress responsibly, with a focus on human oversight.

According to research from the Institute for Higher Education Policy, more than half of UK university students use AI to complete their studies. The survey shows that 53% of students admit to using tools like ChatGPT to assist in their academic work. The Italian data protection authority has accused OpenAI of violating GDPR regulations. A lawyer has faced trouble for fabricating cases using ChatGPT, resulting in the cases being dismissed.

The survey shows that data leaders in the Asia-Pacific region plan to incorporate generative artificial intelligence into business operations within the next 24 months, but face ethical and privacy challenges during adoption. Data leaders emphasize that successful implementation of generative AI requires comprehensive and integrated data management capabilities, and investment in this area is crucial to unlocking potential. Data leaders in the Asia-Pacific region are concerned about issues such as data ethics and privacy protection, with Australian and Singaporean data leaders facing major obstacles in generative AI implementation, including data bias and fragmentation. The survey results indicate that 64% of South Korean...