Outlook on AI Trends: How AI Systems Transform the Business Landscape and Current Developments to Watch.

AI systems are becoming increasingly integrated into the corporate landscape and are continuously evolving. We take a look at current trends.

Over the past few weeks, we’ve spent a lot of time on the topic of artificial intelligence (AI) on our blog. Among other things, we’ve looked at how AI is revolutionizing healthcare, changing retail and increasing the efficiency of production lines. The purpose of this post is to take a general look at current AI trends in the business landscape to give you an overview.

1. AI for text, speech and vision continues to rise

Customer interactions in contact centers provide a wealth of information that can be used to improve products and services, develop virtual assistants, and increase customer satisfaction. Identifying frequently asked questions and creating self-service channels are other benefits. Language and accent neutralization makes it possible to serve customers in different countries. However, the development of such solutions includes challenges such as transcription in different languages and the privacy problem of transferring data via the cloud. The use of powerful deep learning, especially encoder-decoder-transformer networks with pre-trained components and transfer learning, will be crucial in the future. Large language models such as BERT and GPT-3 will evolve and improve their text processing capabilities. In computer vision, advanced models for object recognition and tracking will be developed. Hybrid solutions that leverage these advances will create the next generation of AI assistants, leading to lower operating costs and increased customer satisfaction.

2. Generative AI in the Arts and Creative Industries

Generative AI offers companies new ways to capture the attention of their customers and create high-quality content. By using generative AI networks, companies can generate different types of content, such as images, videos, and texts, and reduce turnaround time. In addition to marketing applications, generative AI has the potential to revolutionize the media industry by improving film production, restoration of old movies, special effects, and creation of avatars in the metaverse. Large language models such as GPT-3 can also be used to generate engaging content in fiction, nonfiction, and scientific articles. However, there is also the risk of creating deepfakes that can lead to new threats such as the spread of fake news and harmful propaganda. Overall, generative AI will be a transformative force that increases creativity in various business areas.

3. Explainable AI makes AI ethical and responsible

Organizations recognize the need for explainable AI to improve transparency, accountability, and detection of bias in automated decision systems. Explainable AI reduces the risks associated with AI and increases adoption because people feel more comfortable when AI models can explain their predictions. Techniques such as LIME and SHAP improve the interpretability of models by perturbing inputs and evaluating their impact on output. Ethical issues and data governance frameworks are explored to meet societal and legal requirements. Model validation and testing with built-in explainability become the norm to avoid ethical lapses.

4. Adaptive AI optimizes customer and brand experiences

Leading retailers are increasingly turning to AI to improve operational efficiency and customer experience. Retail stores are becoming central places for brand awareness and customer experiences, not just simple transactions. AI-based systems such as computer vision and edge-based AI are being used to enable frictionless shopping experiences, reduce wait times, and provide personalized recommendations. Video analytics based on on-premise infrastructure provides real-time insights to create seamless customer experiences. In-store analytics based on dwell time and demographic profiles enrich the customer experience. Omnichannel management is supported by adaptive AI, while conversational AI, AR and VR enhance employee skills and redefine the shopping experience.

5. Edge AI is becoming more ubiquitous

Leading retailers are increasingly turning to AI to improve operational efficiency and customer experience. Retail stores are becoming central places for brand awareness and customer experiences, not just simple transactions. AI-based systems such as computer vision and edge-based AI are being used to enable frictionless shopping experiences, reduce wait times, and provide personalized recommendations. Video analytics based on on-premise infrastructure provides real-time insights to create seamless customer experiences. In-store analytics based on dwell time and demographic profiles enrich the customer experience. Omnichannel management is supported by adaptive AI, while conversational AI, AR and VR enhance employee skills and redefine the shopping experience. Learn more.

Source: Spiceworks