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Special Report


       this process of self-learning.”  (Tech-  effective systems today adopt Human-  for costly in-house data generation and
       Crunch, 2025)                     in-the-Loop (HITL) frameworks,  enabling faster implementation.
                                         ensuring that automated  outputs are
          This  evolution  marks  a  turning   validated,  refi ned,  and  contextualized   A strategic shift for quality leaders
       point for chemical manufacturers: syn-  by experienced chemical engineers.  Synthetic  data  isn’t  just a  work-
       thetic data no longer has to be created                            around  for  fl awed  training  sets  –  it’s
       in-house. Inspection companies can   This feedback loop not only im-  a  foundation for  scalable, sustainable
       now  support  manufacturers  by  provid-  proves model accuracy but ensures that  manufacturing. It enables faster inspec-
       ing pre-trained systems built on curated  technology aligns  with the complexi-  tion  rollouts, higher accuracy, and a
       synthetic datasets. These partners help  ties of real-world production. It pre-  dramatic reduction in waste and down-
       eliminate the burden of collecting and  serves institutional knowledge, ensures  time.
       labelling vast amounts of data, enabling  regulatory compliance, and builds trust
       faster deployment and better perfor-  across operational teams.       The bottom line? Manufacturers no
       mance from day  one.  These systems                                longer need to choose between speed,
       dramatically  reduce onboarding time   Innovation in quality control isn’t  accuracy, and sustainability. With syn-
       and eliminate  the need for highly   just about deploying the  latest tech-  thetic data and human-centered AI sys-
       specialized AI teams.             nology – it’s about  aligning  solutions  tems, they can have all three.
                                         with the realities of the  production
          This means that companies can  fl oor. Instead of imagining a futuristic   Because technology alone is not
       focus on what  they  do best:  process  robot taking over operations,  think of  enough. Success depends on choosing
       optimisation, product development, and  a skilled team offering a highly intel-  the right partner: one who understands
       compliance. And more than that, they  ligent, precision instrument – one that  your processes, speaks your industry’s
       gain the agility to adapt – whether it’s a  fi ts  naturally  into  your  workfl ow,  en-  language, and brings proven tools to
       new formulation, a product variant, or a  hances your visibility, and strengthens  your plant fl oor.
       shift in regulations – without restarting  your control without disrupting the
       the training cycle from scratch.  processes you’ve refi ned over years.  As synthetic data becomes a foun-
                                                                          dation for scalable  AI, manufacturers
       The role of human expertise         Crucially, manufacturers no longer  that align with capable, forward-think-
          Even with powerful  AI, human  need to generate synthetic  data them-  ing inspection providers will gain the
       oversight  remains essential  – particu-  selves. With the right inspection part-  edge in speed, accuracy, and sustain-
       larly in  the chemical industry,  where  ner, they gain access to expertly curated  ability. In this new era, who you work
       product integrity and safety depend on  datasets tailored  to  chemical produc-  with matters as much as the tools you
       highly specialized expertise. The most  tion environments – bypassing the need  use.
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       Chemical Weekly  May 13, 2025                                                                   167


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