Modern AI is Ready Out of the Box

Modern AI is Ready Out of the Box - Implications for Buyers

If you are an Enterprise CIO or CTO considering AI - hesitance to invest is understandable!

To date it’s been difficult to find AI products that live up to their hype. This is changing with modern AI, which drives products like ChatGPT and Hebbia.

Here are 3 lessons for deploying Modern AI in the enterprise - from 5+ years working with enterprise leaders to deliver on cutting edge AI investments.

1. The headline is that AI technology has evolved. Modern AI works out of the box for at least one use case and probably several use cases.

You should get value from a modern AI app the minute you log in. If that Eureka moment isn’t there: either the AI isn’t built to deliver against your pain or the AI isn’t built on the right tech.?

Given this evolution - you should expect a higher level of maturity and enterprise readiness from AI applications and vendors.?

Inversely if you are spending time and money on software that claims to be ‘AI’ while requiring extensive data labeling, re-training and customization -?you aren’t using Modern AI. It’s worth asking if shifting to a Modern AI application can increase ROI.

While you should get value right away, capable vendors for modern AI will provide a clear roadmap for fine tuning. As adoption grows, users will zero in on unique failure cases or adjacent use cases. Capable vendors for modern AI will provide a clear roadmap for fine tuning.

2 - For modern AI - the answer to the “build vs buy” dilemma is clear.

Modern AI requires massive investments in knowledge, data and scale. It is unquestionably faster, more effective and orders of magnitude less expensive to outsource Modern AI applications than build in-house.?

If the nature of some data or integrations necessitate in-house development - don’t expect these models to perform at the level of Modern AI.?

The tradeoffs are analogous to on-premise vs. cloud. Over time buying AI will drive massive business value, savings to enterprise technology teams and improvements to user experience.

3 - Pay to integrate and enable. Don’t pay a vendor to build their dataset and model?

Modern AI-driven applications will require API integration across security to backend data and frontend workflow apps.

Modern AI will change how people work, so the bar for training and enablement goes up with a modern AI application. Both sides must invest to gain wide adoption. Ensure your vendor has a strong enablement plan and team to deliver.?

If your vendor requires a big services engagement and spend on custom datasets - question if you are paying for the right technology.

Ultimately - the same demands placed on SaaS apps should be now be applied to AI software companies:??

• Show something that works really well for at least one use case, 100% out of the box.?
• Show you can integrate to the existing stack via API and drive enablement.?
• Show you can manage an enterprise roadmap and deliver to value targets.?

DM me or check out Hebbia.ai to learn more about Modern AI in the Enterprise.