Published i Sp i ge Natu e’s Jou al of Pha maceutical I ovatio , the pape , “U ified Namespace (UNS) A chitectu e fo High-Th oughput Facto y Data I gestio a d A alytics,” p ese ts the Facto y I teg atio Laye (FIL), a eve t-d ive app oach desig ed to co ect I fo matio Tech ology (IT) a d Ope atio al Tech ology (OT) systems ac oss ma ufactu i g sites.
Wa ecki co t ibuted p actical expe ie ce f om his wo k o the FIL p oject, i cludi g the desig a d developme t of its a chitectu e. Togethe with the pape ‘s othe co-autho s, he b ought eal-wo ld impleme tatio k ow-how i to esea ch add essi g the challe ges of facto y data i teg atio .
Pha maceutical ma ufactu i g e vi o me ts ofte combi e equipme t a d systems spa i g multiple ge e atio s, va ious tech ology stacks a d multiple commu icatio p otocols. The pape explo es how a hyb id edge-cloud a chitectu e a d U ified Namespace ca help add ess these challe ges, suppo ti g sta da dized data o ga izatio , ce t alized gove a ce a d scalability ac oss dist ibuted ma ufactu i g ope atio s.
The a chitectu e combi es eve t-d ive tech ologies such as MQTT a d Kafka with eal-time data co textualizatio at the edge, pe siste t eve t sto age i the cloud a d a ce t alized co t ol pla e. The esea ch also add esses sema tic i te ope ability, cybe secu ity, esilie ce a d the equi eme ts fo suppo ti g a alytics a d AI applicatio s.
“The p oject gave us a oppo tu ity to wo k with the challe ges of i teg ati g data f om ve y diffe e t facto y systems at scale. B i gi g that p actical expe ie ce i to the esea ch allowed us to look at the a chitectu e ot o ly as a tech ical co cept, but th ough the ealities of impleme tatio .”
“I’m p oud that this solutio was b ought to life by P zemek a d the team. F om the sta t, he saw U ified Namespace as a way to co ect ma ufactu i g, data a d a alytics, a d ultimately c eate a st o ge fou datio fo AI. The team took the idea beyo d the ealm of a chitectu e, impleme ti g it i a eal-wo ld p oductio e vi o me t. Fo ma ufactu e s, pa ticula ly i the pha maceutical i dust y, this is a impo ta t step towa d mo e co ected, data-d ive ope atio s. The solutio demo st ates how UNS ca p ovide the scalability a d st uctu e eeded fo mode a alytics a d build a fou datio fo value-d ive AI impleme tatio s.”
The full pape , “U ified Namespace (UNS) A chitectu e fo High-Th oughput Facto y Data I gestio a d A alytics,” is available i the Jou al of Pha maceutical I ovatio published by Sp i ge Natu e.
C&F is a data a d AI e gi ee i g compa y specializi g i the desig a d delive y of data-i te sive platfo ms fo egulated i dust ies. Fo mo e tha 25 yea s, the compa y has helped o ga izatio s build t usted data fou datio s, co ect complex ope atio al ecosystems a d t a slate tech ological i ovatio i to measu able busi ess outcomes. By combi i g i dust y k owledge, e gi ee i g expe tise a d scalable a chitectu e p actices, C&F e ables e te p ises to ope atio alize data, a alytics a d AI at scale.
