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		<lang class="3" style="Headline1"  font="Chronicle Display" fontStyle="Roman" size="34">Only 15% of firms have dedicated AI testing frameworks, says QualiZeal</lang>
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     <p style=".Bodylaser">
	<lang class="3" style=".Bodylaser" font="Minion Pro" fontStyle="Regular" size="9">Bizz Buzz Bureau
Hyderabad</lang>
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<p style=".Bodylaser">
	<lang class="3" style=".Bodylaser" font="Minion Pro" fontStyle="Regular" size="9">QualiZeal, an AI-powered Quality Engineering and digital transformation company, and HFS Research, a global research and advisory firm, have launched "HFS Take 5 x QualiZeal" report in Hyderabad. The  joint research study examines whether enterprises are equipped to validate AI systems in production and how Quality Engineering (QE) must evolve for the AI era.</lang>
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<p style=".Bodylaser">
	<lang class="3" style=".Bodylaser" font="Minion Pro" fontStyle="Regular" size="9">Only 15 per cent of enterprises have purpose-built frameworks to test artificial intelligence (AI) systems, despite 57 per cent already deploying generative AI in production, according to the study.</lang>
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<p style=".Bodylaser">
	<lang class="3" style=".Bodylaser" font="Minion Pro" fontStyle="Regular" size="9">The study, based on a survey of 101 enterprise quality and technology leaders in the US, found that 36 per cent of organisations have deployed agentic AI systems, while 52 per cent continue to test probabilistic AI systems using frameworks originally designed for conventional software. It also highlighted gaps in accountability, with 37 per cent of enterprises running AI in production without a designated function responsible for its quality. While 88 per cent of organisations measure AI model accuracy, only 47 per cent assess bias and fairness, 37 per cent measure explainability and 35 per cent can provide evidence of regulatory compliance, indicating gaps in broader AI assurance practices.</lang>
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<p style=".Bodylaser">
	<lang class="3" style=".Bodylaser" font="Minion Pro" fontStyle="Regular" size="9">The findings point to a mismatch between AI adoption and the resources allocated to quality engineering(QE). Although 82 per cent of enterprises expect the role of QE to expand significantly, only 24 per cent report allocating resources proportionate to the expanded responsibilities. The study said enterprises need to move beyond conventional software testing towards trust engineering as AI systems become increasingly autonomous and integral to business operations.</lang>
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<p style=".Bodylaser">
	<lang class="3" style=".Bodylaser" font="Minion Pro" fontStyle="Regular" size="9">Kalyan Konda, Co-Founder, Executive Director and CEO of QualiZeal, said accountability for AI quality had become a board-level concern, with enterprises deploying AI faster than they were developing the mechanisms to govern it.</lang>
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<p style=".Bodylaser">
	<lang class="3" style=".Bodylaser" font="Minion Pro" fontStyle="Regular" size="9">Quality engineers would play a greater role in assuring AI systems, adding that AI and automation were more likely to elevate their responsibilities than replace them,saidMadhu Murty, Co-Founder and Head of India Operations at QualiZeal.</lang>
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	<lang class="3" style=".Bodylaser" font="Calibri" fontStyle="Light" size="8.5">Kapil Roop Rai (Senior Director, Tribute), Roopa Shanmugam (Deputy Director, PepsiCo), Madhu Murty (Co-Founder &amp; Head of India Operations), Srini Vaddepalli (Analyst &amp; Praftice Leader, HFS Research), and Suresh Kolisetty (Senior VP, Swiss Re) at the launch of "HFS Take 5 x QualiZeal" report in Hyderabad</lang>
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