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A recent study by enterprise AI startup Writer reveals a widening gap between management and employees as artificial intelligence (AI) becomes more prevalent in the workplace. The survey found that nearly half of executives believe AI is "dividing" their companies, a sentiment reflected in the differing adoption rates of AI tools between executives and employees. 94% of C-suite executives expressed dissatisfaction with current AI solutions, while 72% admitted to challenges in AI implementation.

A survey by Elon University shows that 52% of US adults have used AI large language models like ChatGPT, Gemini, Claude, and Copilot. The January survey, conducted by the Imagining the Digital Future initiative at Elon University in North Carolina, polled 500 respondents. Of those who have used AI, 34% reported using large language models at least once a day. ChatGPT was the most popular, used by 72% of respondents; Google's G...

In today's rapidly evolving digital landscape, Artificial Intelligence (AI) has become a crucial tool for companies to enhance their competitiveness. However, despite significant investments in hyperscaler AI products from major companies, AI leaders continue to face numerous challenges. Recently, DataRobot in partnership with CIO.com conducted a global survey, revealing that over 50% of AI leaders plan to increase their investments in cloud service providers.

As generative artificial intelligence (Gen AI) technology becomes a hot topic in the smartphone industry, Counterpoint Research recently conducted a survey of consumers in seven countries. The survey included over 25,000 participants from the United States, Canada, the United Kingdom, France, Germany, Poland, and Japan. The results showed that only 32% of respondents were familiar with Gen AI, with the highest awareness in the U.S. at 72%. In contrast, Japan had the lowest awareness at only 7%.

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...