Real Talk on How AI & Data Combine to Drive Intelligent Decision-Making with Verint's Daniel Ziv

Описание: Discover why getting your data foundation right is THE critical success factor for AI initiatives in customer experience. Join host Shelly Kramer and Daniel Ziv (Global VP of AI & Analytics at Verint) as they dive deep into how AI is transforming customer experience automation—and why 95% of AI projects fail while Verint's approach achieves a 95% success rate.
What You'll Learn:
✅ Why AI without the right data is destined to fail
✅ How behavioral data unlocks real automation potential
✅ The "bot" strategy that makes AI less scary and more adoptable
✅ Real-world examples of customers finding $5-70M in value within days
✅ Why point solutions create chaos while platforms deliver results
Standout Insights:

Organizations that prioritize data foundation before AI see actual results
Single word digit error rate transcription is now achieving near-perfect accuracy
Behavioral data = interactions + experience + performance data
The "library vs. person who read all the books" analogy for understanding Gen AI
Start small, measure outcomes, expand fast: The winning AI adoption strategy

Real Customer Results Shared:
💰 $70M saved by deploying wrap-up bot to 30,000 agents
💰 $6.5M identified in 2 days by global services company using Genie bot
💰 $5M loan retention opportunity discovered by UK financial services
💰 Utility company achieved massive agent capacity savings

TIMESTAMPS
00:00 Introduction: Why Data is AI's Critical Foundation
01:41 Daniel's 23-Year Journey: From Image Processing to Speech Analytics Pioneer
03:38 Before Verint: Iron Dome, Air Force, and Innovation Consulting
04:37 The Data Challenge: Why AI Initiatives Struggle at Enterprise Scale
06:30 Why Gen AI is Transformative: The Library Analogy
08:51 Gen AI in the Enterprise: Having Someone Who's "Read Everything"
09:56 Adapting to Rapid Change: Why Agility is Everything Now
12:12 Learning Tools vs. Perfect Deployment: Fail Fast Philosophy
13:14 Why Verint Calls Them "Bots" Instead of AI: Making Technology Human
16:12 The Lego Approach: Start Small, Build Big, Measure Everything
18:16 Behavioral Data Explained: The Three Critical Components
20:33 How Multiple Bots Leverage Behavioral Data Hub
21:16 Exact Transcription Bot: From 50% to Near-Perfect Accuracy
22:13 Da Vinci Platform: Why Unified Data Beats Point Solutions
24:09 The Point Solution Problem: Why Fragmentation Fails
26:09 Open Platform Strategy: Have Your Cake and Eat It Too
27:04 Meeting Customers Where They Are: On-Prem, Cloud, Hybrid
29:11 Customer Success Stories: Real Results, Real Impact
30:00 Wrap-Up Bot Case Study: $70M Saved Across 30,000 Agents
30:55 Genie Bot Breakthroughs: $5-6.5M Found in Days, Not Weeks
33:31 "Let's Turn It On For Free": The Confidence-Building Sales Strategy
34:41 95% AI Failure Rate vs. 95% Success Rate: What's the Difference?
35:46 Final Advice: Don't Wait—Your Biggest Risk is Inaction
38:20 Closing Thoughts

#AI #CustomerExperience #CXAutomation #DataStrategy #GenerativeAI #ContactCenter #BehavioralData #MachineLearning #DigitalTransformation #EnterpriseAI #SpeechAnalytics #CustomerAnalytics #AIAdoption #Verint