AI can serve as a facilitator in the presentation making process, which is very common in daily use in companies and used by almost all departments. However, these AI presentation tools are both relatively new and popular, so there are a lot of them on the market.
Design professionals across various sectors constantly seek tools to optimize creativity and innovation, aiming to predict and cater to evolving market demands. Traditional design methods, though effective, are often time-consuming and bound by human limitations, potentially missing the vast array of possibilities in complex design scenarios.
Enterprise resource planning (ERP) software is integral for streamlined business processes and improved business outcomes. For a more advanced business process, businesses migrate to cloud ERP, seeking more dynamic, adaptable solutions. With other technologies like RPA, the power of generative AI has a potential to improve the ERP process.
As the world increasingly leans towards technological innovation, prioritizing generative AI has become a focal point for many industries, driving creativity and automation to next levels. However, there are serious potential risks of generative artificial intelligence, including its accuracy and ethical use.
Generative CRM benefits.
Foundation models like ChatGPT with many capabilities (e.g. translation, text generation) trained on public data have launched the generative AI wave. However, businesses need to work with specialized enterprise generative AI systems trained on private data for increased effectiveness.
In the rapidly evolving landscape of IT operations, IT automation has emerged as a game-changer, with an overwhelming 99% of IT decision-makers recognizing its significance and incorporating it into their digital transformation strategies. Therefore, business leaders seek relevant technology to optimize their IT processes and enhance operational efficiency.
Conversational AI and generative AI have been growing in adoption and popularity: At first glance, these tools seem similar to each other. For instance, both conversational AI and generative AI models can generate answers, but how they do that differs. Therefore, we should carefully study conversational AI and generative AI’s distinct features.
Retail businesses constantly strive to enhance customer experiences and loyalty. This requires the production of attractive and various contents, good marketing efforts, and great customer service efforts.
The insurance value chain, from product development to claims management, is a complicated process. The complex nature of tasks like risk assessment and claims processing poses significant challenges for an insurance company.