How much time and money does it cost to unravel an existing system and how much does it cost to start all over again. The latter has the advantage that you can use newer technologies with extended capabilities. The first has the advantage that workflows and user experiences stay the same. I guess that external systems that talk to the systems API can remain as they are? Another thing I am curious about if you test whether the performance of the system drops or not when it is chopped up in containers or compartments.
If U People can come UP with more stuff , Definitely U will be the Long Term , Reliable Leader ( NOT Open AI LLM Design ) in AI, ML, NLP, Services in Real Enterprise Bus., Sovereign , G2G, G2B, G2Public, Court2Public
Tech like LLM based GPT,, BitCoin based DApps., may be Fascinating , But they CAN NOT provide AI, ML, DApp Solns., 2 RealWorld Enterprise Bus., , Sovereign, Govt, Courts, Admn, Civil Services, Except Lmtd Scope in AI, ML;
Carola is an excellent speaker and this talks is brilliant, so we featured it in the latest issue of 💥Tech Talks Weekly. Congrats!
How much time and money does it cost to unravel an existing system and how much does it cost to start all over again. The latter has the advantage that you can use newer technologies with extended capabilities. The first has the advantage that workflows and user experiences stay the same. I guess that external systems that talk to the systems API can remain as they are? Another thing I am curious about if you test whether the performance of the system drops or not when it is chopped up in containers or compartments.
If U People can come UP with more stuff , Definitely U will be the Long Term , Reliable Leader ( NOT Open AI LLM Design ) in AI, ML, NLP, Services in Real Enterprise Bus., Sovereign , G2G, G2B, G2Public, Court2Public
Tech like LLM based GPT,, BitCoin based DApps., may be Fascinating , But they CAN NOT provide AI, ML, DApp Solns., 2 RealWorld Enterprise Bus., , Sovereign, Govt, Courts, Admn, Civil Services, Except Lmtd Scope in AI, ML;