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In the 5th episode (who knew we'd get this far!), I'm joined by Cathy Herbert who is The Executive Vice President of Pre-Sales Engineering and Professional Services at Arria. If you don't know who Arria are, it's worth checking them out. Cathy gives Arria an overview in the intro of this episode, but to briefly explain here: they are a scale-up doing some exciting work with language and generative AI, specializing in how companies can augment their business processes using data-to-text solutions and LLMs. Hence the aptly named title of this episode. Here are the highlights of what we covered: - First of all, covering the bases. What are the differences between LLMs and end-to-end data-to-text automation?- And what are the benefits of both? - When is a business ready for AI? - And what do they need to have in place already? - What will the effect of LLMs be on jobs? - CEO expectations ions for LLMs and how to deal with them. - Keeping the human in the loop with these solutions. - What enterprise businesses need to consider when implementing AI- How these solutions are working with internal teams. - How regulated industries like financial services and healthcare are effectively utilizing GenAI - And the future of this type of AI, with some things Arria is thinking about/developing I found that some of the most interesting parts of this episode are the real client case studies that Cathy uses to answer some of these questions.As usual, we want to hear your thoughts in the comments! Subscribe for more episodes coming soon.
In the 5th episode (who knew we'd get this far!), I'm joined by Cathy Herbert who is The Executive Vice President of Pre-Sales Engineering and Professional Services at Arria. If you don't know who Arria are, it's worth checking them out. Cathy gives Arria an overview in the intro of this episode, but to briefly explain here: they are a scale-up doing some exciting work with language and generative AI, specializing in how companies can augment their business processes using data-to-text solutions and LLMs. Hence the aptly named title of this episode. Here are the highlights of what we covered: - First of all, covering the bases. What are the differences between LLMs and end-to-end data-to-text automation?- And what are the benefits of both? - When is a business ready for AI? - And what do they need to have in place already? - What will the effect of LLMs be on jobs? - CEO expectations ions for LLMs and how to deal with them. - Keeping the human in the loop with these solutions. - What enterprise businesses need to consider when implementing AI- How these solutions are working with internal teams. - How regulated industries like financial services and healthcare are effectively utilizing GenAI - And the future of this type of AI, with some things Arria is thinking about/developing I found that some of the most interesting parts of this episode are the real client case studies that Cathy uses to answer some of these questions.As usual, we want to hear your thoughts in the comments! Subscribe for more episodes coming soon.