CIO
16 Changes to the Way Enterprises Are Building and Buying Generative AI
The article was the inspiration for this week’s B2B Wins Newsletter. While I’m often suspect of venture funds pontificating on topics, I think they got this mostly right. While there’s a lot of excitement around language models, it’s mostly about the consumer or individual experience. Ultimately, I believe that conversational technologies will not be a product. Conversation is a feature of a product that solves some larger problem. A very cool feature, no doubt, but the heavy lifting will be done through a variety of technologies that come together to solve an important problem. This process will begin in the enterprise space because that’s where the most valuable challenges occur.
Marketing
AI in marketing: Examples to help your team today
If you’re a marketer you can skip this article. There’s not a lot of new news in here for you. If you’re not a marketer, this article provides a window into how the marketing function is gaining efficiency and deriving value as the martech ecosystem deploys AI into their software. While I think focusing too much attention on AI in content marketing is a losing proposition—because I think content marketing’s days are numbered—there are some interesting developments in analytics, targeting, and productivity.
AI Safety
Microsoft’s new safety system can catch hallucinations in its customers’ AI apps
Two of the biggest concerns about language models in the enterprise are security and errors. While large companies may have the resources to Red Team their use cases to test for unintended consequences, it’s costly to run such a process. Microsoft is taking measures to ensure that Azure’s model provides capabilities to test against prompt injections that break through filters delivering undesired results.
More AI Safety
Google DeepMind unveils ‘superhuman’ AI system that excels in fact-checking, saving costs and improving accuracy
Not to be outdone by Microsoft, Google has set its sights on the accuracy of language models. I’ve been using Google’s Gemini more often that ChatGPT because of the ease of checking its answers. Providing even better tools that give me increased confidence in the responses will only sharpen Gemini’s advantage in the marketplace.
Shameless
B2B Wins #29: AI Founders, it’s the Enterprise
In the next 24 months, generative AI is going to enter a new phase where is will do more amazing things than delivering a string of word predictions. Most of that value will be realized in the enterprise. While many CIOs will continue to dabble with language models, it is the vendor ecosystem where the promise of AI will be found.