SPC
Before
Review charts and spreadsheets manually
AI-assisted
Surface changing process behaviour and evidence to investigate
Career-relevant learning for quality professionals
AI for Quality
Build the practical AI capability modern Quality Engineers will increasingly need.
Quality work is moving beyond recording, reporting and reacting. This practical session helps you learn how to use AI to interpret SPC behaviour, connect PFMEA and problem-solving evidence, and ask better quality questions — while keeping engineering judgement firmly with you.
If you want to become the person in your team who can confidently combine quality engineering with AI-assisted analysis, this workshop is designed for you.
Wednesday · 2:30 PM ISTFriday · 1:45 PM IST60 minutes · Free
Reserve my practitioner seatBuilt for practitioners
Quality Engineers, Quality Managers, Supplier Quality and Plant Quality teams.
Manufacturing-specific
SPC, PFMEA, 8D and real plant-quality scenarios rather than generic AI theory.
Interactive
Customer questions, before-and-after scenarios and a live Quality AI demonstration.
Human governed
AI surfaces evidence and recommendations. Quality professionals validate and decide.
Why this matters to your career
Quality expertise remains essential. The advantage is knowing how to work with AI too.
The strongest quality professionals will still need process knowledge, statistical thinking, standards awareness and engineering judgement. AI adds another capability: getting to the right evidence, pattern or question faster.
This workshop is designed to help you start building that capability through the quality work you already understand.
Become AI-ready in your current role
Understand where AI can genuinely assist SPC, PFMEA, 8D and daily quality analysis — and where human judgement must remain in control.
Move from report preparation to insight
Learn how to ask better questions of quality data and identify what deserves investigation instead of only preparing charts and summaries.
Lead practical Quality AI conversations
Be better prepared to discuss AI adoption with Quality Heads, plant teams, customers and digital-transformation teams using manufacturing language.
Build a skill you can apply immediately
Take one familiar quality problem and see how an AI-assisted workflow changes the way you investigate, connect evidence and decide what to check next.
Ask yourself
If AI entered your quality function tomorrow, would you know how to use it well?
Could you tell the difference between a useful AI insight and a weak one? Could you ask the right follow-up question? Could you validate the evidence? Could you explain to your manager where AI should assist — and where it should not?
That practical judgement is exactly what this workshop starts building.
Before → after
Start with the work your quality team already does.
This workshop does not ask you to replace your Quality Engineer or rip out your existing systems. It shows where an intelligence layer may reduce searching, connect evidence and help teams investigate faster.
PFMEA
Before
Update after audits, complaints or process changes
AI-assisted
Connect shop-floor learning to risks that may need review
8D / Problem Solving
Before
Search old files, emails and people for history
AI-assisted
Bring related failures, evidence and prior actions into the investigation
Quality Management
Before
Ask teams for status and prepare reports
AI-assisted
Start with the exceptions, evidence and actions that need attention
What happens in the room
A workshop, not a product lecture.
We ask how your quality process works today before showing an AI-assisted alternative. Expect polls, practical questions and a live scenario rather than a long feature tour.
01
Customer reality
Where quality engineers lose time today
02
SPC before / after
From recording measurements to understanding process behaviour
03
PFMEA before / after
From static documentation to living risk review
04
Problem solving
How previous evidence can shorten the starting point for investigation
05
Live Qualitiviss + QAI
Problem → insight → evidence → engineer decision
06
Your next step
Bring one real quality problem and try it
Wednesday session
2:30 PM – 3:30 PM IST
Same foundation workshop. Choose this slot if mid-afternoon fits your plant schedule.
Friday session
1:45 PM – 2:45 PM IST
Same content, different time. The initial weeks will help us learn which timing works best for practitioners.
Bring one real problem
The best workshop outcome is your first useful Quality Insight.
If appropriate, bring an SPC sheet, PFMEA, recurring defect, 8D or customer complaint. Dataviss can show how Qualitiviss + QAI may help organize the evidence and identify what deserves investigation — with the engineer remaining accountable for the decision.
Build your Quality AI capability
Give one hour to a skill that can strengthen the way you work in Quality.
Choose either Wednesday or Friday. Both sessions are designed around practical manufacturing-quality situations so you can connect AI directly to the work you already do — not learn AI in isolation.
Understand practical AI use in SPC, PFMEA and problem solving
Learn how to validate AI output instead of trusting it blindly
See how to move from quality data to an investigation starting point
Leave with a clear idea of one real quality problem you can try with AI