GenAI Applications
GenAI applications use AI models to create content, automate tasks, and boost productivity across business areas, helping teams choose and apply tools effectively.
6 Risks of Generative AI & How to Mitigate Them
With industries prioritizing generative AI for innovation and automation, its potential grows. However, risks of generative AI like accuracy and ethical concerns remain. Addressing these challenges is key to ensuring AI benefits humanity.
Generative AI in Retail: Use Cases, Examples & Benefits
Retail businesses strive to enhance customer experiences and loyalty. This requires producing attractive content in various formats, effective marketing efforts, and exceptional customer service. With generative AI, retailers can resolve most of these issues through automation, particularly by enhancing their ability to analyze customer data for more personalized customer experiences.
Generative AI in Insurance: 10 Use Cases & 5 Challenges
Generative Artificial Intelligence (AI) emerges as a promising solution, capable of not only streamlining operations but also innovating personalized services, despite its potential implementation challenges. The insurance value chain, from product development to claims management, is a complicated process.
Generative AI in Manufacturing: Use Cases & Benefits
Generative AI is becoming a strategic tool for manufacturers facing challenges such as supply chain disruptions, labor shortages, and rising cost pressures. It helps automate design, predict maintenance needs, and optimize supply chains, while driving efficiency, reducing costs, and speeding up innovation.
RPA Generative AI: Top 15 Use Cases in August
RPA (robotic process automation) and generative AI are two popular tools in the digital transformation landscape: These two tools are widely used because of their wide-ranging capabilities. RPA’s handling of repetitive tasks & generative AI’s automation through the creation of original content creates an opportunity for businesses to reshape their companies’ operational efficiency.
Compare Top 7 Generative AI Services & Vendors
Since OpenAI launched ChatGPT, generative AI technology has rapidly expanded across industries. This spread led businesses to utilize various services to build and implement generative AI tools effectively. Here, we explore seven types of generative AI services that help businesses gain a competitive edge: Table 1.
Enterprise Generative AI: 10+ Use Cases & Best Practices
Generative AI, also called GenAI, presents novel opportunities for enterprises compared to middle-market companies or startups including: However, generative AI is a new technology with unique challenges for enterprises: Executives wonder how their organizations can reap the benefits of generative AI while overcoming these challenges.
Top 25 Generative AI Finance Use Cases & Case Studies
Most of my decade-long consulting career involved serving financial services firms and helping finance leaders. I selected top generative AI finance use cases with their real-life examples.
Top 10 Use Cases of Conversational AI in Retail
Modern retail faces challenges in providing personalized customer service at scale. Customers expect instant responses, 24/7 support, and tailored shopping experiences. Conversational AI addresses these challenges by enabling personalized interactions, improving customer satisfaction, and automating various online retail operations.
10 Generative AI Supply Chain Use Cases
Artificial intelligence, particularly generative AI, offers new ways to address long-standing supply chain challenges. By analyzing large volumes of historical and real-time data, generative AI can produce actionable insights that improve decision-making, efficiency, and resilience. One notable example is Microsoft Dynamics 365 Copilot, an AI-driven assistant integrated into CRM and ERP systems.