Making Your Data AI Ready: The Critical Role of Data Integration

Data is everything when it comes to AI. If organizations attempt to incorporate it into their business with bad or incomplete data, they could end up with ineffective solutions, or worse, hinder productivity and operations.
Watch our insightful on-demand webinar as we explore how creating a unified and accessible data ecosystem sets organizations up for success as they begin to incorporate AI into their strategic and daily processes.
Precisely’s industry experts share key considerations and best practices for effective data integration, helping businesses ensure their data infrastructure is accessible and optimized for AI deployment.
Key Takeaways:
Gain insights on how to streamline your data management practices.Identify and mitigate risks associated with data integration.Understand how access to all enterprise data properly prepares organizations to integrate AI into their business practices.Don't miss this opportunity to gain valuable insights and practical tips to ensure your AI initiatives are built on a solid data foundation. Access the webinar now and start building your data-driven future.

1. Making Your Data AI Ready The Critical Role of Data Integration Ashwin Ramachandran | VP, Product Management for Data Integration

2. Housekeeping Webinar Audio Today’s webcast audio is streamed through your computer speakers If you need technical assistance with the web interface or audio, please reach out to us using the Q&A box Questions Welcome Submit your questions at any time during the presentation using the Q&A box. If we don't get to your question, we will follow-up via email Recording and slides This webinar is being recorded. You will receive an email following the webinar with a link to the recording and slides

3. AI comes in various flavors Generative AI Predictive AI Goal Create new content Make accurate predictions Algorithms Complex algorithms and deep learning based on LLMs Statistical algorithms based on machine learning and observations Output New content such as text, images, music, etc. Predictions such as the likelihood of a field value or routing destination 3 Making Your Data AI Ready

4. AI Adoption and Usage is Surging In 2024 adoption of AI jumped to 72% 50% of organizations have adopted AI into 2 or more business functions Generative AI (Gen AI) usage is increasing within the workplace 91% of individuals report using Gen AI in the workplace 13% of organizations report implementing multiple Gen AI use cases Source: McKinsey & Company 4 Making Your Data AI Ready

5. How are companies using AI? of leading businesses have ongoing investments in artificial intelligence 91 %   Source: NewVantage Increase productivity and efficiency Attract and retain customers with personalized service Enhance and accelerate data-driven decisions C reate new ideas that provide a competitive edge 5 Making Your Data AI Ready

6. Only 4% of respondents say their data is AI-ready Pitfalls of AI adoption Risks of AI without the foundation of all your business’s relevant, critical data: Inaccurate and unreliable outcomes Bias, unfair, and discriminatory results Inefficient resource utilization Damage to brand and customers Compliance and regulatory failures Eroded user and stakeholder trust Source: 2023 Gartner IT Symposium Research Super Focus Group 6 Making Your Data AI Ready

7. For trusted AI, you need integrated data Real-time Complete Relevant Strategize and drive your AI/ML initiatives with a business outcome driven approach 

8. Building a solid data integration strategy Monitor and optimize performance and outcomes 8 Making Your Data AI Ready

9. Impacts of fully integrated data on AI efforts When AI leverages consolidated, accessible data it fosters : Creation of innovative products and services Agility to adapt quickly to emerging trends When AI uses comprehensive, integrated data it ensures: Reliable decision-making Increased value of company data More precise forecasting When AI models are fed with all enterprise data it can: Identify undiscovered inefficiencies and redundancies Streamline workflows, reduced manual tasks, and minimalize errors Increased Efficiency and Reduced Costs Reliable AI Results Faster Decisions in Evolving Markets 9 Making Your Data AI Ready

10. Use cases 10 Fraud Detection and Prevention Personalized Recommendations Modernization Chatbots Making Your Data AI Ready

11. Making Your Data AI Ready Key takeaways 2 AI projects need to built on a solid data integration strategy 1 AI comes with exciting opportunities, but difficult challenges 3 The right tools and partners will enhance AI readiness 11

12. The data journey is complex and ongoing GENERATE MONITOR ENRICH ANALYZE & ACTIVATE CATALOG & GOVERN CLEANSE & VALIDATE INTEGRATE

13. Precisely partners with you along the way Software, data, and strategy services to meet all your data integrity needs GENERATE Enterprise Data sources CATALOG & GOVERN Data catalog Data governance MONITOR Data observability ENRICH Spatial analysis Data enrichment INTEGRATE Change data capture ANALYZE & ACTIVATE Customer experience CLEANSE & VALIDATE Data quality Geo addressing Master data management