Td' world wh with dtvr-trmng frm the dv we u, th ltn we buld, and th interactions w hv. Orgnztn across vr ndutr hv hrnd this data t dgtll transform nd gain competitive dvntg. And nw, w ntr a nw r dfnd by AI, th data bmng even more important.
Generative AI nd lngug mdl services, uh as Azure OpenAI Srv, r nblng customers to u nd rt everyday AI xrn tht r rnvntng hw employees spend thr time. Pwrng organization-specific AI xrn rur a ntnt ul f clean dt frm a wll-mngd nd highly integrated analytics tm. But mt organizations' nlt systems are a labyrinth f specialized nd dnntd rv.
And it's n wndr gvn th mvl frgmntd data and AI thnlg mrkt wth hundrd f vndr nd thund f rv. Cutmr mut stitch tgthr a complex set f dnntd rv from multiple vndr thmlv nd incur th t nd burdn f mkng these rv funtn tgthr.