{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/611d14fa9d5f470014bbc7b3/621f8077c6315c00133fad66?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"The meaning of AI, machine learning and robotic process automation in financial markets","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/611d14fa9d5f470014bbc7b3/1632309665646-60818a3436d73e6db6a24ce5a6bc0d88.jpeg?height=200","description":"<p>Topics for discussion include: </p><p><br></p><p>The relative importance of cost-cutting versus improved customer service </p><p>Whether finance is especially well-adapted to RPA and AI</p><p>Whether the projected savings are being achieved</p><p>Attitudes of employees towards the technologies</p><p>Impact on levels of employment and skill</p><p>Whether the IT department is a source of resistance to RPA and AI and ML</p><p>How it alters the threat of cyber-attacks</p><p>Current natural language processing capabilities</p><p>Difficulties in working with legacy systems</p><p>Whether RPA, AI and ML are merging into a single form of intelligent digital automation</p><p>What RPA and AI cost</p>","author_name":"Future of Finance"}