Artificial Intelligence (AI) has become a strategic imperative in a rapidly evolving business landscape. However, the rush to embrace AI comes with risks, as illustrated by instances of AI-generated content with fake citations and potentially dangerous recommendations. The critical factor underpinning trustworthy AI is data integrity, ensuring data is accurate, consistent, and full of rich context.
Attend our upcoming webinar, "AI You Can Trust: Ensuring Success with Data Integrity," as we explore organizational challenges in maintaining data integrity for AI applications and real-world use cases showcasing the transformative impact of high-integrity data on AI success.
During this panel discussion, we'll highlight everything from personalized recommendations and AI-powered workflows to machine learning applications and innovative AI assistants.
Key Topics:
AI Use Cases with Data Integrity: Discover how data integrity shapes the success of AI applications through six compelling use cases.
Solving AI Challenges: Uncover practical solutions to common AI challenges such as bias, unreliable results, lack of contextual relevance, and inadequate data security.
Three Considerations of Data Integrity for AI: Learn the essential pillars—complete, trusted, and contextual—that underpin data integrity for AI success.
Precisely and AWS Partnership: Explore how the collaboration between Precisely and Amazon Web Services (AWS) addresses these challenges and empowers organizations to achieve AI-ready data.
Join our panelists to unlock the full potential of AI by starting your data integrity journey today. Trust in AI begins with trusted data – let's future-proof your AI together.
Less Bias. More Accurate. Relevant Outcomes.
Human Factors of XR: Using Human Factors to Design XR Systems
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
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?
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.
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