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Reflected Intelligence: Real world AI in Digital Transformation
Trey Grainger, Chief Algorithms Officer at Lucidworks, emphasizes the importance of digital transformation and AI-powered search in enhancing business processes and customer value. He outlines how modern search technologies utilize machine learning and AI to personalize user experiences and improve efficiency. The document discusses the evolution of search from basic navigation to a contextual and assistive tool that connects users to relevant information and actions.
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Reflected Intelligence: Real world AI in Digital Transformation
- 1. Trey Grainger Chief AlgorithmsOfficer Reflected Intelligence: Real-world AI in Digital Transformation October 17, 2019
- 2. Who are we? 300+CUSTOMERS ACROSS THE FORTUNE 1000 400+EMPLOYEES OFFICES IN San Francisco, CA (HQ) Raleigh-Durham, NC Cambridge, UK Bangalore, India Hong Kong The Search & AI Conference COMPANY BEHIND D E V E L O P M E N T, H O S T I N G , & S U P P O R T
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- 6. Digital transformation is theprocess of using digital technologies to … meet changing business and market requirements. -- Salesforce.com Digital transformation is a foundational change in how an organization delivers value to its customers -- CIO.com Digital transformation is the strategic adoption of digital technologies, such as a digital workspace, to improve processes and productivity -- Citrix Digital business transformation is the process of exploiting digital technologies and supporting capabilities to create a robust new digital business model. -- Gartner
- 8. Median Wage ( Q12019): $47,060 Source: US Bureau of Labor and Statistics Pay Required to Stop Using Search Engines: $17,530 That’s a 37% foregone wage increase before taxes!
- 9. Find the right product Connect to thebest person Resolve a problem Know exactly what to do next Drive relevant conversations Ask questions naturally Find Experts See what you asked for The universal user interface
- 10. Search has becometoday’s de-facto user interface for delivering Digital Transformation for seeking knowledge & information
- 11. 20 Years Ago: Searchwas navigating a Directory of websites.
- 12. 10 Years AgoSearch was finding 10 Blue Links
- 13. Search Appliance Enterprise attemptsfrom those eras have failed.
- 14. Today’s Search Is: •Domain-aware •Assistive •Contextual& Personalized (location, last search, profile) •Conversational •Multi-modal (Text, Voice, Images, Event/Pushed-based) •Smart (AI-powered) •Beyond links and information to Answers and Action
- 15. The world’s leading AI-poweredSearch Platform Personalizes search with applied machine learning Proven on the world’s biggest information systems
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- 17. AI? Machine Learning? Data Science? NeuralSearch? AI-Powered Search? Deep Learning?
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- 22. AI-powered Search Question /Answer Systems Virtual Assistants • Question / Answer Systems • Virtual Assistants • Chatbots • Rules-based Relevancy • etc.
- 23. AI-powered Search Question /Answer Systems Virtual Assistants • Question / Answer Systems • Virtual Assistants • Chatbots • Rules-based Relevancy • etc. • Signals Boosting Models • Learning to Rank • Semantic Search • Collaborative Filtering • Personalized Search • Content Clustering • NLP / Entity Resolution • Semantic Knowledge Graphs • Document Classification • etc.
- 24. AI-powered Search Question /Answer Systems Virtual Assistants • Signals Boosting Models • Learning to Rank • Semantic Search • Collaborative Filtering • Personalized Search • Content Clustering • NLP / Entity Resolution • Semantic Knowledge Graphs • Document Classification • etc. • Neural Search • Word Embeddings • Vector Search • Natural Language Understanding • Image / Voice Search • etc. • Question / Answer Systems • Virtual Assistants • Chatbots • Rules-based Relevancy • etc.
- 25. People to People People to Information Peopleto Insights Search + AI =
- 26. Giant Graph ofRelationships... Trey Grainger works for Lucidworks. He spoke at the Activate 2019 conference. #Activate19 (Activate) was held in Washington, DC September 9-12, 2019. Trey got his masters degree from Georgia Tech. Trey’s Voicemail
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- 28. Significance of FeedbackLoops User Searches User Sees Results User takes an action Users’ actions inform system improvements
- 29. Signal Collection &Processing User Searches User Sees Results User takes an action Users’ actions inform system improvements User Query Results Alonzo ipad doc10, doc22, doc12, … Elena printer doc84, doc2, doc17, … Ming ipad doc10, doc22, doc12, … … … … User Action Document Alonzo click doc22 Elena click doc17 Ming click doc12 Alonzo purchase doc22 Ming click doc22 Ming purchase doc22 Elena click doc2 … … … ipad ⌕ Signal Processing & Machine Learning Learned Relevance Models
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- 35. • 200%+ increasein click-through rates • 91% lower TCO • 50,000 fewer support tickets • Increased customer satisfaction
- 36. Digital Workplace (“Enterprise Search”) DigitalCommerce (“Ecommerce Search”)
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- 46. Regular Search Results: PersonalizedSearch Results: User:
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- 55. Facet, Topic & Cluster Query Rule Matching Natural Language Machine Learning Boosted Results Signals Content Index SystemGenerated Human Generated Application Generated Solution Data
- 57. Trey Grainger Thank You! [email protected] @treygrainger Swingby to chat, see demos, or to learn more.