Page 167 - CW E-Magazine (13-5-2025)
P. 167
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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