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CREATED:20260620T084746Z
DESCRIPTION:11:00 - 11:15The rise of agentic commerce: Why CSPs need an ope
 rating system for phygital experiences AI isn’t improving commerce — i
 t’s breaking the model. The future of commerce will not be won by optimi
 zing channels. It will be won by orchestrating the experience between them
 . This session lays out iQmetrix's path to an Intelligent Commerce Operati
 ng System and the foundations we are building it on today: a modular\, clo
 ud and AI-native platform\; an orchestration layer spanning activation\, r
 etention\, and engagement\; digital app experiences unifying the consumer 
 journey across channels\; TM Forum ODA-aligned open APIs\; and AI already 
 in production across forecasting\, scheduling\, and assisted selling. We w
 ill walk through the architecture\, the trade-offs\, where agentic orchest
 ration sits on top\, and the parts that are still genuinely hard. This is 
 not just more systems of record\, but an orchestrated system of intelligen
 ceJason Raymer\, Senior Vice President of Client Experience\, iQmetrix 11:
 15 - 11:30From confusion to clarity: How Telenet reduced customer effort a
 nd cut billing inquiries by more than 30%Even in a digital-first world\, a
 nd despite years of transformation\, billing remains one of the most compl
 ex and friction-heavy moments in the customer journey\, and a major driver
  of confusion\, inbound calls and churn. Telenet will share how it is deli
 vering customers an effortless\, digital-first billing experience powered 
 by building a data foundation that enables AI-driven experiences. The sess
 ion explores why most billing transformations fail to address the real iss
 ue—complexity and lack of clarity in invoices—and how Telenet simplifi
 ed the experience without disrupting core billing systems. It also highlig
 hts the results: fewer calls\, lower costs\, an improved customer experien
 ce\, and AI capable of accurately explaining even highly complex chargesJo
 han Morel\, VP Billing Experience\, Telenet Walter Neeft\, CEO\, Calvi 11:
 30 - 11:45From systems to agents: Reimagining BSS with agentic AIAs CSPs f
 ace increasing pressure to launch faster\, personalize at scale\, and oper
 ate with far greater efficiency\, incremental BSS modernization is no long
 er sufficient. This is where Agentic AI offers a path to faster Time-to-Ma
 rket cycles\, adaptive monetization and partner management\, proactive cus
 tomer experience and reduced operational overheads. Those who master this 
 shift early will define the next generation of digital‑native telecoms. 
 This discussion explores how Agentic AI is transforming BSS from static\, 
 rule‑bound systems into adaptive\, autonomous\, and decision‑capable p
 latforms. You will learn what it takes to move from automation to autonomy
 \, while examining real‑world use cases.Mark O'Flaherty\, Chief Engineer
 \, Digital\, BT GroupAshish Kar\, Head of Digital BSS\, Telefónica German
 y Amitha Sachin Chawda\, Senior Enterprise Architect\, Telco Transformatio
 ns\, Tech Mahindra11:45 - 12:00Launching Synapt AI: the operational intell
 igence layer for telecommunicationsTelecom leaders have invested heavily i
 n AI agents\, yet many are still waiting to see the promised production-sc
 ale impact. The challenge is not the models themselves. It is the missing 
 layer beneath them that provides every AI agent with structured\, governed
 \, and real-time knowledge of your network\, customers\, operational proce
 dures\, and business obligations. At DTW 2026\, Synapt AI unveils the indu
 stry’s first operational intelligence substrate purpose-built for teleco
 mmunications. Join us for a live demonstration of what becomes possible wh
 en AI agents truly understand your business. Balasubramanian Chandran\, Ch
 ief Product Officer\, Prodapt
DTEND:20260624T100000Z
DTSTAMP:20260620T084746Z
DTSTART:20260624T090000Z
LAST-MODIFIED:20260620T084746Z
LOCATION:The Loft Stage
SEQUENCE:0
STATUS:CONFIRMED
SUMMARY:(DTW-Ignite 2026) The Loft: Trustworthy AI and Data Innovation
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