MC+A Insight Guest Article. Original Article can be found here.
There is a new vector search engine coming out every other week now. Myriad LLM-powered apps offer to <translate what jargon-laden landing pages actually mean>, to <interpreting loan applications> to <finally make it possible to search for that PowerPoint deck your CEO sent you 3 months ago>. There are LLM-powered apps for literally every occasion. There is no doubt that LLMs are transformational. But what’s every company not creating LLM-powered apps — or new Foundation Models — to do about it? Clearly there are many implications to IT, corporate governance, to marketing, to strategy and especially to the C-Suite.
- Data ownership: companies like to own their data. If it’s important, or if sending it away makes their competition stronger, they are unlikely to let go of it, no matter how cool the usability might be.
- Security: CIOs and CISOs will pay exceedingly close attention to any data which has the possibility of creating exposure to risk. Generative AI using corporate data is likely to get extra scrutiny from these C-level execs.
- Productivity: developers across departments are likely to be radically more productive with a new generation of LLM-powered tools than before. The tools that deliver security and data stewardship have the greatest chance of winning the love of leadership.
Where’s IT in the Gen AI debate?
MC+A Insight Guest Article. Original Article can be found here. Background The corporate role most frequently missing from conversations about Gen AI is that of the Chief Information Officer. Everywhere else, there is certainly no shortage of glitz and energy about the transformative impact that Gen AI will have — from sales and marketing to support and every other interaction
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Lack of enterprise-grade tools prevent LLM adoption in the enterprise
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