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Enabling Digital Transformation Amidst a Global Pandemic | Low-Code, Cloud, AI and Modern Content Management
This document discusses digital transformation driven by low-code, cloud technology, and artificial intelligence, emphasizing the need for modern content management solutions. It highlights the challenges of legacy systems and the advantages of new cloud-native content services, including improved productivity and insights. The document also outlines strategies for effective migration, integration, and utilization of AI in content management to enhance business processes and customer experiences.
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Enabling Digital Transformation Amidst a Global Pandemic | Low-Code, Cloud, AI and Modern Content Management
- 1. Digital Transformation Amidsta Global Pandemic Low-Code, Cloud, AI and Modern Content Management Sean Baird Director of Product Marketing, Nuxeo December 2020 Vineet Bhandari Head of Customer Success, Cognizant
- 2. What is Digital Transformation? 2 Digital Technologies Leverage: •Cloud • Content services • Artificial intelligence • Process management Your Business To modify existing: • Business processes • Culture • Customer experiences Digital Transformation To meet changing: • Business conditions • Market disruption • Competitors
- 3. Digital transformation is a journey, nota destination.
- 4. of ECM and nothing hasreally changed... YEARS % % MIN Believe their organization lacks the skills to capitalize on AI See the potential of AI to automate mundane tasks Time spent daily looking for information Organization’s systems are not fully connected to each other Average number of solutions 9
- 5. It’s clearly timefor a new approach
- 6. Modern Content Requirements SUPPORT digital formfactors DELIVER insight & intelligence EMBRACE new content types ENSURE governance & security ACCELERATE cloud adoption MAKE IT EASY to build new apps BRIDGE information silos OPERATE at extreme scale
- 7. Legacy ECM Challenges Legacy ECM Singlerepository solutions Suites not a platform Pre-cloud architectures Difficult to develop on Expensive to own & operate
- 8. Legacy ECM Multi-repository approach Singular platforms Cloud native Low-code tooling Cloud consumption pricing Singlerepository solutions Suites not a platform Pre-cloud architectures Difficult to develop on Expensive to own & operate Content Services is different
- 9. The rise ofmodern, cloud-native Content Services Platforms offers a new approach.
- 10. Intelligent Content Starts with Data Information= data + content Readily accessible Contextual Available anywhere Governed & secure
- 11. Content Services drive productivitywhile providing new, actionable insights.
- 12. 1500+ Consultants 900+ Projects 300+ Clients 15+ Years of Experience PARTNERSWITH TOP CONTENT SERVICE PLATFORM VENDORS DIGITAL CONTENT CENTRIC SOLUTIONS AGILE, DEVOPS , DIGITAL ENGINEERING BASED SOLUTION SMART SEARCH AND INSIGHTS CONTENT MODERNIZATION COGNITIVE CAPTURE COMMUNICATIONS MANAGEMENT Content Service Platform (CSP) Practice Overview
- 13. Nuxeo Competency IMPLEMENTATION On-Premise,SAAS, Cloud-Based, or hybrid Flexible onsite-offshore resourcing model Integrations with the existing digital ecosystem MIGRATION Migration of content from existing platforms to target system Multiple data migration options suited to business needs CSP STRATEGY Current state assessment and strategy Future state definition and solution evaluation EVALUATION Fit Gap analysis, Feasibility Studies and Assessments Content modernization TESTING SERVICES TRAIN Train the trainer methodology Workshops, Go-Live Webinars, User Training Guide LIBRARY MANAGEMENT & GOVERNANCE Formulate organized vocabulary for the metadata Taxonomy Maintenance & Workflow Approvals CHANGE MANAGEMENT Key organization enablers to drive adoption of new platform Ensure smooth global rollouts and on-boarding SUPPORT Varied support options (8X5, 16X5, 24X5) Local language support
- 14. Using these slides Thereare a number of slides included in this deck for both internal and external users. The slides with a Black titles can be shared with customers and the ones in Purple are for internal use only Cloud Unlocking new accessability & scale to transform the business
- 15. Cloud should be aboutchoice No longer on-premises vs. cloud No “one size fits all” Self-managed vs. vendor-managed Hybrid configurations due to regulations Need to support customer preferences And operate at Cloud scale…
- 16. Cloud architecture matters Individuallyscalable services Elastic scaling for peak volumes Multi-tier archiving support Serverless scalability for compute-intensive activities Edge caching and CDNs for global delivery Open architecture to support customer preferences
- 17. Document management fora Fortune 500 retail-pharmacy Business Challenge Cognizant Solution Business Benefit SILOED document management systems on aging legacy technologies LESS flexible workflow to keep up with the changing business demands IMPLEMENTED greenfield Nuxeo solution on AWS Cloud using a phased approach AUTOMATED 10+ document centric workflows across 60 internal departments CUSTOM integration mechanism between Nuxeo, SAP, KMS and SharePoint Improved COMPLIANCE with centralized storage along with historic content (15+ years) migration TCO SAVINGS ($200K per year) by migrating away from legacy technologies Improved PRODUCTIVITY with process workflows automation and enhanced search LIMITATION in integrating with other business applications viz. SAP, KMS Nuxeo on AWS Cloud
- 18. Using these slides Thereare a number of slides included in this deck for both internal and external users. The slides with a Black titles can be shared with customers and the ones in Purple are for internal use only Artificial Intelligence Utilizing machine-learning models for data enrichment
- 19. THERE ARE TYPES OF AI Enrich. Decide. Optimize. GENERIC • Connectto a broad set of public services • Commodity models provide generic services BUSINESS- SPECIFIC • Deliver highly relevant insights and enrichments • Custom models deliver more meaningful outcomes for business
- 20. Land Vehicle VehicleCar Motor Vehicle Transport Parking Mode of Transport Van Automotive Tire Bumper MinivanTire Sport Utility Vehicle Family Car Vehicle Registration Plate Chevrolet Tahoe Asphalt Gas Minibus Generic AI = Generic Data Note: Depicts actual data generated from Ford image by Google Cloud Vision API service Demos ability of AI/ML to apply data to assets Generally useful in increasing findability and reuse Relevancy and accuracy of the model is inherently limited 1 2 3 Model returns a set of labels lacking business-critical data elements 4
- 21. Custom ML models= business-specific data Brand: Chevrolet Model: Tahoe License St.: Illinois License No.: K24 1771 Custom models produce much more relevant data values1 True entity extraction enables workflow automation 2 Business value inherently increases with specificity of the data generated 3 Veh. Color: Gold Mist Metallic Brand: Dodge Model: Ram Van License St.: Illinois License No.: XXX 8242 Veh. Color: Bright White Operator: John Smith
- 22. Intelligent automation for routinetasks What form is it? Is it complete? Has it been signed? Form Processing Yes No 1 Classification 2 Exception handling 3 Entity extraction 4 Intelligent routing
- 23. Bring new insightto your business 1 Image processing 2 Fraud detection 3 Damage comparison 4 Intelligent routing Duplicate photo? Damage Estimate Yes No
- 24. An AI thatUnderstands Your Business Crafted specifically for you Not built only for ML experts Auditable & understandable by the business
- 25. AI must quicklyand easily identify new insights and promote automation.
- 26. Leverage AI’s truetransformational potential for a CPG client Address usage pain points Low quality tags: when not enough time is spent on adding tags Loss of productivity – when more time is spent on adding tags or searching content PHASE 2 Build AI + ML models to …. Train to classify business metadata Identify duplicates to optimize storage Identify adaptations and renditions to ensure usage and compliance Auto-archive based on usage patterns to minimize storage costs PHASE 1 Used industry-leading AI tools for intelligent classification and tagging 95% 87% of content was enriched with AI tags 8 hours of AI tags were recognized as relevant saved for tagging every 100 documents 36% more tags per content – that improved search 26% increase in user sessions ending with downloads
- 27. Using these slides Thereare a number of slides included in this deck for both internal and external users. The slides with a Black titles can be shared with customers and the ones in Purple are for internal use only Low Code Enabling fast time-to-value and continuous innovation
- 28. Low Code ReducesTime to Value Software asset libraries Reusable components Templates Configuration
- 29.
- 30. As Easy as1 – 2 – 3 DESIGN • Visual design paradigm • Configure data types • Graphically build workflows × Design app with graphical design tools • CI/CD • Fast refresh to deploy changes × Refine solutions over time REFINEFINE TUNE • Elements catalog • Development toolbox × Tailor your app to meet specific requirements Low-code, “point and click” experience
- 31. Digital Asset Managementuse case An interface for brand marketers to easily collaborate with creative agencies to create and distribute digital assets Define a custom UI template… using intuitive configuration tool (Nuxeo Studio) Quickly configure creative approval process… using Nuxeo GUI workflow builder Simplified user management… using Nuxeo administration panel Optimize storage costs… using AWS (S3 and Glacier) accelerator tool Low code helps to… build… learn… adapt
- 32. Using these slides Thereare a number of slides included in this deck for both internal and external users. The slides with a Black titles can be shared with customers and the ones in Purple are for internal use only Modernization Connect & consolidate = rational approach
- 33. A Rational Approach toModernization CONNECT CONSOLIDATE • Integrate multiple repositories • Extend value of existing systems • Rapid Return on Investment (ROI) • Quickly establish consistent foundation for modernization Connect to existing data and content sources Key Benefits • Reduce reliance on legacy systems • Decrease Total Cost of Ownership • Support cloud initiatives • Single, future-proof platform Migrate content and retire legacy systems Key Benefits Time
- 34. Modern, Platform-as-a- Service forContent Challenges Modernize IT to compete with new market entrants Replace OpenText solution Proliferation of doc types made it difficult to find information Two-step migration approach Start with two key countries, then expand to other markets Benefits Enhanced customer experience – streamlined exchange of customer info Accelerated time to market for new products & services New PaaS completely fits new technological landscape Improved relationship between IT & business Solution Global PaaS for document management, deployed country by country OpenShift deployment for each country Federate existing LiveLink object stores New global discipline for managing document types
- 35. Unlocking Real BusinessValue Accelerate journey to the Cloud Gain new insights from information Optimize business processes Digitally transform your business
- 36. Questions? Sean Baird Nuxeo [email protected] VineetBhandari Cognizant [email protected]
- 37. Read the complimentaryGartner Magic Quadrant to help you evaluate vendors’ ability to deliver Content Services Platforms (CSPs) that enable and empower digital business. https://www.nuxeo.com/resources/gartner-magic- quadrant-content-services-platforms/
Editor's Notes
- #5 8/10 organizations say their systems aren’t fully integrated 9 is the average number of IM solutions for these orgs. Too many systems, not connected = a hour, on average, every day spent looking for information Many see the potential for AI, but worry they’re not in a position to capitalize on it Same questions 20 years ago, same answers
- #11 Content management has always been about data (not content). Easy to store a document, it’s hard to do it well. Content needs to be: Readily accessible (easy to find) Contextual (use it to perform work) Available anywhere (mobile devices and now, remote working) Compliant and secure Data makes this possible. Bottom line, information should be instantly available to the people who need it and have the right to access it.
- #16 No longer a discussion of on-premises vs. cloud And, cloud is also not “one size fits all” (SaaS offerings) Self-managed vs. vendor-managed Data privacy and locality regulations may dictate hybrid configurations Need to support customer preferences for cloud infrastructure providers, storage options and even services “The traditional drivers of cloud computing—cost savings and pay-as-you-consume contracts—will likely continue to push usage. Yet the next round of adoption will likely be driven by other key benefits that cloud offers—namely speed, flexibility, and scalability.” - Deloitte, 2019
- #17 No longer a discussion of on-premises vs. cloud And, cloud is also not “one size fits all” (SaaS offerings) Self-managed vs. vendor-managed Data privacy and locality regulations may dictate hybrid configurations Need to support customer preferences for cloud infrastructure providers, storage options and even services “The traditional drivers of cloud computing—cost savings and pay-as-you-consume contracts—will likely continue to push usage. Yet the next round of adoption will likely be driven by other key benefits that cloud offers—namely speed, flexibility, and scalability.” - Deloitte, 2019
- #20 Generic: Connect to a broad set of public services for common use cases (general classification, enrichment, OCR, speech-to-text, etc.). Commodity models provide generic services. Specific: Deliver highly relevant insights and enrichments to enable specific business use cases / domains. Custom models deliver more meaningful outcomes for business.
- #22 Two things to note here: Much more accurate data Not tagging, full entity extraction (i.e. brand = Chevrolet) Why is this important? This is how you automate a process. Can’t do this with tags. Can we do this today? Absolutely. Nuxeo Insight – Service that allows our customers to train their own models using their own content and data
- #23 60% of inbound forms are handwritten But you say: Chris, wait, we’ve been doing forms processing for years… Yes, but this content isn’t just in the mailroom anymore. Come from anywhere in the organization (email, text, social…need an enterprise service, not a mailroom scanning operation)
- #29 Templates: Start with standard templates or reuse existing configurations to build new apps Reusable Components: Speed up application delivery by reusing existing user interface or AI configurations Software asset libraries: Draw upon vast libraries of proven software assets Configuration: Rather than complex customization, low-code enables efficient
- #31 Enables even casual users to not only define and train new ML models, but also easily deploy and administer these models in production use cases.
- #35 Worldwide Financial Services company Critical challenge was that they were not able to access customer data across different silos and processes New PaaS + Federation (LiveLink) … all metadata ingested into Nuxeo data model (single source of the truth) NOT using Simflofy; built their own integration to OpenText LiveLink (as well as some other existing file stores) Using Nuxeo’s binary manager (same component we use for Simflofy integration and Live Connect for Box, Dropbox, Google Drive, etc.) Spain: Employee HR documentation; customer avatars for mobile app Mexico alone is 1.5 petabytes of content Procurement, contracts, etc.