Tech companies are racing to introduce generative artificial intelligence (A.I.) products for businesses, harnessing the power of A.I. to automate tasks and improve productivity. AT&T, for example, created its proprietary A.I. assistant called Ask AT&T using Microsoft’s Azure OpenAI Services. Other tech companies like Amazon, Box, Cisco, Salesforce, and Oracle are also unveiling generative A.I.-powered products for tasks such as code generation, document analysis, data search, and meeting summarization.
Why it matters: By incorporating these tools, businesses can automate repetitive tasks, free up employees’ time for more complex work, and gain valuable insights from data. However, utilizing generative A.I. also carries risks, including inaccuracies, misinformation, and data leaks.
- The chatbot has helped developers automate coding processes and customer service representatives summarize calls, leading to increased productivity and time savings.
- As generative A.I. continues to evolve, organizations should ensure they have policies and training in place to effectively leverage these new tools while preparing their workforce for the changing nature of work.
- Tech companies are taking steps to address these concerns by implementing security measures and data protection mechanisms.
