Sydney, July 7: Executives believe generative AI will revolutionize organizations and expand the scope of knowledge worker roles, according to a recent report by Capgemini Research Institute.
The study, titled “Harnessing the value of generative AI: Top use cases across industries,” highlights the transformative potential of generative AI in driving innovation across enterprises.
According to the report, 70 percent of executives believe that generative AI will enable organizations to broaden the roles of knowledge workers.
Furthermore, almost all executives (96 percent) acknowledge that generative AI is a critical topic in boardroom discussions, with a majority expressing strong support from their leadership. Despite concerns such as copyright infringement and cybersecurity, 74 percent of executives believe that the benefits of generative AI outweigh the associated risks.
The research highlights that organizations see generative AI as an opportunity to drive revenues. While 21 percent anticipate industry disruption, 40 percent of organizations across various sectors have already established teams and budgets for generative AI, with an additional 49 percent considering implementation within the next year.
Executives identified chatbots for customer service automation and knowledge management (83 percent) and designing, collecting, or summarizing data (75 percent) as the most relevant generative AI platforms or tools for their industries. They believe that generative AI will make product and service design more efficient (78 percent) and accessible (76 percent), as well as enhance customer experiences by making them more interactive and engaging (71 percent) and improving customer service through automated and personalized support (67 percent).
The report also reveals the potential benefits of generative AI within three years. Executives anticipate an eight percent increase in sales, a seven percent decrease in costs, and a nine percent improvement in both customer engagement and satisfaction, along with operational efficiency gains.
In terms of industry adoption, executives in the high-tech industry exhibit the highest confidence (84 percent) in the positive impact of generative AI.
They are leading the way with 70 percent already having generative AI pilots underway and 18 percent having implemented the technology across certain locations or business functions. The top two use cases in this sector are 3D modeling for detailed shapes and predictive maintenance.
Executives across sectors identify the IT function (67 percent) as having the most potential for generative AI, particularly within the high-tech sector where 86 percent of executives state their organization either uses or plans to use generative AI in IT. Sales (54 percent) and marketing and communications (48 percent) are other areas where executives see generative AI driving value.
The rise of generative AI is expected to create new roles such as AI auditors and AI ethicists, according to 69 percent of executives.
They believe that the integration of generative AI into the workforce will require significant investment in upskilling and cross-skilling of talent.
The report emphasizes that most organizations recognize the need for sustainable implementation of generative AI.
Around 80 percent of organizations understand the criticality of implementing and scaling generative AI sustainably.
Additionally, 78 percent of enterprises are aware that generative AI can have a larger carbon footprint than traditional IT programs.
However, there is a need for concrete efforts toward sustainability, as only roughly half of the organizations planning to train their own models (eight percent) have taken steps to mitigate their environmental impact.
In a separate update, EOS Data Analytics, a provider of AI-powered satellite imagery analytics, has released an updated version of EOSDA Forest Monitoring.
The software offers forest management capabilities such as forest cover detection, tree species determination, deforestation, and reforestation tracking, assessment of forest damage in burnt areas, and forest health monitoring. By leveraging satellite data, the platform provides valuable insights for sustainable forestry management, enabling informed decisions that balance productivity with environmental preservation.
The advanced features of EOSDA Forest Monitoring include forest cover detection, deforestation identification, reforestation analysis, tree species determination, assessment of forest damage in burnt areas, and forest health monitoring. These capabilities utilize AI algorithms and satellite data sources to deliver precise and actionable insights for any area of interest, regardless of size. EOS Data Analytics aims to empower businesses with insights while promoting sustainable forestry practices, reaffirming their commitment to a healthier planet.
As generative AI continues to transform industries and enable organizations to leverage new opportunities, the key lies in adopting a human-centric approach and prioritizing sustainable implementation to foster trust in the workplace. The combination of generative AI’s potential and responsible deployment will drive innovation, create new roles, and unlock value across enterprises.
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