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AI You Can Trust
Ensuring success with Data Integrity
Panel introductions
Host
Sanjeev Mohan
Principal | SanjMo
Antonio Cotroneo
Director, Product Marketing
Precisely
AI You Can Trust: Ensuring Success with Data Integrity
2
Ayan Ray
Sr. Partner Solutions Architect
Amazon Web Services
Dr. Tendu Yoğurtçu
Chief Technology Officer
Precisely
Fueling innovation and competitiveness
Businesses are racing to harness the power of AI
Increase productivity and efficiency
Attract and retain customers with personalized service
Create new ideas that provide a competitive edge
Enhance and accelerate data-driven decisions
91% of leading businesses have ongoing investments in artificial intelligence
Source: NewVantage
3 AI You Can Trust: Ensuring Success with Data Integrity
Only 4% of respondents say
their data is AI-ready
AI You Can Trust: Ensuring Success with Data Integrity
4
Navigating the pitfalls
of AI adoption
• Risks of AI without the proper
foundation of trusted data:
• Inaccurate and unreliable outcomes
• Bias, unfair, and discriminatory results
• Damage to brand and customers
• Information security vulnerabilities
• Compliance and regulatory failures
• Eroded user and stakeholder trust
Source: 2023 Gartner IT Symposium
Research Super Focus Group
Explore the critical role of AI in today's business
landscape and why data integrity forms the backbone
of successful AI initiatives
Examine common obstacles, such as bias,
hallucinations, and contextual irrelevance, with
strategies to address them
STRATEGIC AI IMPERATIVES OVERCOMING DATA INTEGRITY CHALLENGES
Highlight use cases where high-integrity data leads to
successful AI applications, from personalized
recommendations to AI assistants
Uncover how the partnership between Precisely and
AWS helps organizations cultivate AI-ready data and
activate it for a competitive advantage
REAL-WORLD TRANSFORMATIONS EMPOWERING AI WITH PRECISELY & AWS
Unlocking AI success through data integrity
AI You Can Trust: Ensuring Success with Data Integrity
5
Questions?
AI You Can Trust: Ensuring Success with Data Integrity
Key takeaways: AI You Can Trust
1
The critical role of
data integrity in AI
success
2
Navigating AI
challenges with
practical solutions
3
Understanding the
crucial considerations
of data integrity for AI
4
Use of partnerships
for enhanced AI
readiness
7
eBook
Trusted AI 101:
Tips for Getting Your
Data AI-Ready
DOWNLOAD NOW:
precisely.com/trusted-AI
AI You Can Trust - Ensuring Success with Data Integrity Webinar

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AI You Can Trust - Ensuring Success with Data Integrity Webinar

  • 1. AI You Can Trust Ensuring success with Data Integrity
  • 2. Panel introductions Host Sanjeev Mohan Principal | SanjMo Antonio Cotroneo Director, Product Marketing Precisely AI You Can Trust: Ensuring Success with Data Integrity 2 Ayan Ray Sr. Partner Solutions Architect Amazon Web Services Dr. Tendu Yoğurtçu Chief Technology Officer Precisely
  • 3. Fueling innovation and competitiveness Businesses are racing to harness the power of AI Increase productivity and efficiency Attract and retain customers with personalized service Create new ideas that provide a competitive edge Enhance and accelerate data-driven decisions 91% of leading businesses have ongoing investments in artificial intelligence Source: NewVantage 3 AI You Can Trust: Ensuring Success with Data Integrity
  • 4. Only 4% of respondents say their data is AI-ready AI You Can Trust: Ensuring Success with Data Integrity 4 Navigating the pitfalls of AI adoption • Risks of AI without the proper foundation of trusted data: • Inaccurate and unreliable outcomes • Bias, unfair, and discriminatory results • Damage to brand and customers • Information security vulnerabilities • Compliance and regulatory failures • Eroded user and stakeholder trust Source: 2023 Gartner IT Symposium Research Super Focus Group
  • 5. Explore the critical role of AI in today's business landscape and why data integrity forms the backbone of successful AI initiatives Examine common obstacles, such as bias, hallucinations, and contextual irrelevance, with strategies to address them STRATEGIC AI IMPERATIVES OVERCOMING DATA INTEGRITY CHALLENGES Highlight use cases where high-integrity data leads to successful AI applications, from personalized recommendations to AI assistants Uncover how the partnership between Precisely and AWS helps organizations cultivate AI-ready data and activate it for a competitive advantage REAL-WORLD TRANSFORMATIONS EMPOWERING AI WITH PRECISELY & AWS Unlocking AI success through data integrity AI You Can Trust: Ensuring Success with Data Integrity 5
  • 7. AI You Can Trust: Ensuring Success with Data Integrity Key takeaways: AI You Can Trust 1 The critical role of data integrity in AI success 2 Navigating AI challenges with practical solutions 3 Understanding the crucial considerations of data integrity for AI 4 Use of partnerships for enhanced AI readiness 7
  • 8. eBook Trusted AI 101: Tips for Getting Your Data AI-Ready DOWNLOAD NOW: precisely.com/trusted-AI

Editor's Notes

  1. Innovation is key to unlocking the tension and moving your business forward. Here are just some of the strategic initiatives we see organizations like yours implementing to do just that. We know that trusted data is more important than ever to fueling AI, automation and other critical business initiatives. So how do you build trusted data?  
  2. Businesses across all industries use Precisely’s strong data integrity capabilities to address the data challenges they face. Having access to all relevant data – cataloged, cleansed, validated, enriched with context, and governed - enables more targeted marketing in industries like financial services and retail, more personalized customer service critical in industries such as telecommunications, better service delivery by public sector agencies, a more accurate understanding of property valuation and risk factors for insurance and real estate firms, and improved efficiency in the management of product delivery and supply chain logistics for manufacturing businesses – to name only a few.
  3. Check out the eBook to uncover more about the foundational elements of trusted AI, the top challenges to trusted AI and how to overcome them, and more