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AI In Healthcare | MindFields Global

Advances in AI have accelerated the innovation landscape in healthcare resulting in improved health outcomes while reducing the cost of providing healthcare. <br>Website: https://www.mindfieldsglobal.com/

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AI In Healthcare | MindFields Global

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  1. How can AI and Automationmake yourBusiness Processes Intelligent?

  2. 1 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries Mindfields drives innovation and excellence by leveraging disrupting technologies to optimize business processes that enable its clients to 'Grow for tomorrow’. They are a vendor-agnostic automation and artificial intelligence services firm. Gartner and HfS Research has positioned Mindfields as a leading, niche Robotics Process Automation advisory (RPA) firm and we are globally recognized as a thought leader in this space. They have ranked among the top 20 fastest growing Australian firms in the Deloitte Fast500TM. EdgeVerve Systems, a wholly-owned subsidiary of Infosys,develops innovative software products and offers them on premise oras cloud-hosted business platforms. Their products help businesses develop deeper connections with stakeholders, powercontinuous innovation and accelerate growth in the digital world. They power our clients’ growth in rapidly evolving areas like banking, distributivetrade, credit servicing, customer service and enterprise buying. Today, global corporations across financial services, insurance, retail and CPG, life sciences, manufacturing, and telecommunications use EdgeVerveproducts About

  3. 2 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries MOHIT SHARMA Founder and ManagingDirector PRAVEEN KOMBIAL Global Product Head for Business Edgeverve Systems Ltd. Mohit has over 20 years of experience workingin Praveen’s mandate is to leverage Artificial IntelligenceStrategy, Corporate Finance, and RiskManagement and Emerging technologies to build and launch products Solutionsfor Deloitte, PwC, and EY. Mohit has authored and published one of the first and most comprehensive research on Robotics and Process Automation. Mohit provides advisory services to leading global financial and non-financial organization in US, Australia, UK, and India on their journey for Automation and Artificial Intelligence. Mohit loves cricket and food, in thatorder. solving for specific business problems for industries globally. At EdgeVerve, he leads Engineers and Product managers in building Products addressing industries and functions such as Financial Services, Insurance, Consumer Packaged Goods and Supplychains. Prior to Infosys, Praveen served in various roles spanning retail finance, corporate leasing and riskmanagement. 3 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries Speakers Speakers

  4. JASDEEP SINGH KALER Associate Vice President & Product Head Edgeverve SystemsLtd. Jasdeep has spent 22+ years of experience in ProductDevelopment and has led multiple products from idea to cash, and architected key framework components for mission critical enterprise classproducts. He is an expert in leading large-scale organizationalchange management, business transformation and technology initiatives.He currently leads multiple products in the areas of Lending, Insurance and Supply Chain using Blockchain, AI/ML technologies. His current interest area is how product startups can be designed forscale. 4 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries Agenda Introduction to webinar topic and speakers 5minutes Session 1: Difference between Automation and AI 10minutes

  5. Session 2: Maturity in Deploying AI in Business 10minutes Session 3: Concept of AI Business Applications 10minutes Session 4: Business Applications for Retail Banking and deep divein one App 15minutes Questions and Answers 10minutes Polls during the webinar 5minutes 5 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries

  6. 6 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries What is ArtificialIntelligence? Artificial Intelligence is a revolutionary cluster of technologies and is dependent on the setup ofan existing plethora of smart data. One of the biggestdrivers in embracing AI, is that is becominga differentiator in how we can do business. An organisation can decide whether to delegatemundane tasks to AI or utilise the existing workforce to focuson them instead of adding value to highend decision making. A sophisticated AI project will gothrough these phases for optimal efficiencygains:

  7. LEARNACTION DISCOVER PREDICTVALIDATE 7 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries Difference between Automationand ArtificialIntelligence Automation is making a software that is capable ofdoing things automatically — with or withouthuman intervention. Artificial Intelligence, however, is ascience and engineering of makingintelligent machines, and eventually supersede human behavior andintelligence. Automation can or can not be based onArtificial

  8. Intelligence. Mimics Human behaviour Humanactions Learning capabilities Self learning Predefined Design ComplexSimple Tools/Platform Mostly cloud based/API integrations Software and web based Maturity level Early stages Advancedstages 8 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries Difference between MachineLearning and ArtificialIntelligence Similar to the digital wave of the early 90’s, the intelligent wave of automation and machine learning is revolutionising the industry. Machine learning is technically a branch of AI, but it's more specific than the overallconcept. AI is the all-encompassing idea that initiallycame Deep Learning about, then followed by Machine Learning thatthrived

  9. Machine later, and lastly Deep Learning that is promisingto Learning escalate the advances of AI to another level. Theintent Artificial Intelligence of Machine Learning is to enable machines to learnby themselves using the provided data and makeaccurate predictions. 9 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries Drivers of ArtificialIntelligence Capital Applications Data Worldwide Spending onCognitive A true artificially-intelligent systemis With the availability of the plethora of and Artificial IntelligenceSystems one that can learn on its own.There data, it helps the organisations in Forecast to Reach $77.6 Billion in are many like the DeepMind, thatare analyzing this and in drawing 2022 progressing towards that meaningful insights from the same Talent Responsibility Growth Talent is learning not only in brick and AI with ethical responsibility isdriving By 2030, global GDP could be $15.7 mortar universities, but catchingup the new trends, and is not justabout trillion as a result of AI, making it the online and on e-learning websites making rules to governintelligent biggest commercial opportunity in machines but the humanstoo

  10. today’s economy. • 10 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries • EVOLUTION OFAUTOMATION • Routine and Repetitive Analytical Based • Highly rule-basedprocesses • o • Incorporatesadvanced • analyticalcapabilities • Large transactionand • Process unstructured processingvolumes • data from multiple environmentsPAST NOW FUTURE Judgement Based • AI Based • RequiresRPA • Rise of self learning and configurationto • cognitive capabilities incorporatedecisions • Automatic detectionand • Processesare • resolution of faults and moderatelycomplex errors • ©2019 Mindfields Global. All rights reserved. 11 MindSpeaks WebinarSeries • 11

  11. 12 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries Interestingly the maturity scoreseems similar acrossindustries......

  12. 13 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries

  13. *Source: AutonomousNext There are challenges in AIadoption......... Functional, Regional, Corporate Silos Keeping Up With AI Tech Explosion Measuring Business Outcomes of AI Lack of Data, Expertise & Infrastructure To Make AI Effective Governance andRegulatory Lack of Scalability andOversight Explainability of AI BasedDecisions 14 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries

  14. Reality We are not sure what to do beyond thePOC AI Adoption In Financial Services- We have implemented a Customer Service Chatbot 15 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries Internal Systems &Applications Me too External 3rd PartySystems We did a pilot in onegeography Social Feeds & EnvironmentalData Our Chatbot is decommissioned because of securityissues The Ying & Yang Of AIFor

  15. Business EnhanceExperience PurposefulAI 16 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries

  16. 17 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries

  17. meaningful Process Improvements that leverages AI to solvespecific businessproblems using structured data from existing systems of records and unstructured data from internal & external datasources using structured data from existing systems of records and unstructured data from internal & external datasources Each of the Business Apps come with prebuilt data models andare quick to deploy and easy to use. Each of the Business Apps come with prebuilt data models andare quick to deploy and easy to use. Each of the Business Apps come with prebuilt data models andare quick to deploy and easy touse. Value from these Apps manifestsin one/ more of the following ways: Business Apps are bite sized, purpose builtApps Improved Business Metrics Improved BusinessMetrics Driving Decisions Enhance experience Relevantand So what are BusinessApps?

  18. 18 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries What will our Apps consist ofDataMgmt. Technologies Advanced Machine Learning Experiential AI- Bots,Image Recognition, SpeechAnalytics Workflows Responsive User InterfacesDashboards 19 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries

  19. and preferred suppliers, demand consolidation for improved savings and spend classification at source for accurate insights, by leveragingAI/ML Category Intelligence Empowers product category teams to proactively manage categories and take best- in-class decisions powered by data and insights. It transforms sourcing and procurement decision making through interlinked internal and external data, embedded analytics, real-time insights, action prompts & expertrecommendations PromotionEffectivenessProvides comprehensive insights intopromotionperformance for identification of performancedrivers, leveraging ML techniques, and enables predictive modelingto create optimizedpromotions Perfect Order MeasurementDeliversinsights and intelligence to identifyfactors influencing Perfect Orders, predictive assessmentofrisk fulfilment and proactive alerting for enabling enterprises to meet customer’s deliveryexpectations ProcurementInsights Delivers business relevant procurement insights, through automation of data management, ML-based spend classification, predictive spend analytics and guided opportunityanalysis Channel DataManagementEnables enterprises with efficient and reliable Omni channel data capture and algorithmic data harmonization through its data as a serviceplatform Procurement AssistantComprehensive AI-based conversational assistant that simplifies procurement process, while ensuring process compliance and enhancing userefficiency CollectEdge A data drivenintelligence platform powered by machine learning that helpsour clients reduce delinquency rates andimproverecoveries, stay compliant and lower operational costthrough an intuitiveexperience. Provenance Nia Provenance is an asset &industryagnostic, blockchain based application that letsbusinesses establish traceability of theproduct, transparency of the processes and trust-worthinessof the information across the lifecycle of assets(or) Fraud Detection andPrevention Leverages Infosys Nia AdvancedMachineLearning platform, to detect and prevent fraud in credit card transactions & insurance claims,thereby minimizing fraud losses and reducing false positives forthe enterprise. Business Apps- Snapshot productsLoanFulfilment Guided Buying Enables intelligent routing of procurement requests to appropriate buyingchannels

  20. Leverages the power of AI in driving efficiency and enhancing experience through application enrichment, automated document verification, personalized risk scoring and to improve of loan processing cycletime 20 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries

  21. Why SpendAnalytics? 21 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries Nia Procurement Insights -Solution Overview Nia Procurement Insights delivers business relevant insights by automating data management activities, classifying spend into right categories using Machine Learning techniques, generating predictive spend analyticsand

  22. highlighting opportunities to optimize spend and mitigaterisks. Modules Efficient DataManagement AI/ML Spend Classification AdvancedSpend Analytics Approach Client Base KnowledgeBase 22 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries Supported by Future Proof Big DataStack Nia Procurement Insights -Value Proposition • SimplifyData • Cleanse and UnifyData • Normalize Data • Enrich Data • AmplifySavings • Insights toActions • GainVisibility • Forecast Demand • Classify Spend • PlanBudget • DeriveKPIs • Configure Dashboards

  23. 23 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries 10-12% Impact in VendorNormalization 50-60% ProductivityGain 8-10% SavingsOpportunity 24 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries

  24. 25 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries NLP and TextAnalytics Risk Modelling RiskModelling Behavior andSentimentAnalysis Behavior andSentimentAnalysis Behavior andSentimentAnalysis Chatbots and AIbasedcollaboration Chatbots and AIbasedcollaboration Chatbots and AIbasedcollaboration Chatbots and AI basedcollaboration AI based Decision Engine AI based Decision Engine AI based Decision Engine AI based Decision Engine AI based DecisionEngine EdgeVerve: AI-enabled Business Applications suite RetailBanking OCR and DocumentClassification Business Applications for Retail Banking#BuiltOnAI Typical Debt CollectionProcess Consumer loan or line ofcredit 0-30days 30-60 60-90 90-120days days

  25. days TypicalChallenges LegalAction No early warning mechanism to predict/identify delinquentaccounts Risk segmentation ofaccounts Inefficient collection processes based on rudimentary with high operating cost and statistical model is inefficient call investments All payments arecurrent 26 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries Consumer fails to make requiredpayment Recovery Sold to debtbuyer Repossessions Not a loan servicing or core collectionplatform Suggestion onPreventive Measures KEYFEATURES Drives collection strategies through its exhaustive feature set

  26. onboarding Predefined data model for each loan product enables easy onboarding Predefined data model for each loan product enables easy onboarding Roll Rate Prediction Roll RatePrediction Account LevelPersonality Insights Account LevelPersonality Insights Account LevelPersonality Insights Not a data scienceplatform Not a data scienceplatform Individual ML model for each of the featuresillustrated Customer Insights Engine CollectEdge Prediction Engine PredictionEngine Inbuilt automated data engineering and model build for quick valuerealization Inbuilt automated data engineering and model build for quick valuerealization Inbuilt automated data engineering and model build for quick valuerealization Over the top solution providing intelligence to existing collection process Risk BucketPrediction Predefined data model for each loan product enables easy onboarding Predefined data model for each loan product enableseasy

  27. Predefined data model for each loan product enables easy onboarding Predefined data model for each loan product enables easy onboarding Entire data engineering and data science is abstracted with focus on businessoutcome Entire data engineering and data science is abstracted with focus on businessoutcome Entire data engineering and data science is abstracted with focus on businessoutcome Entire data engineering and data science is abstracted with focus on businessoutcome Entire data engineering and data science is abstracted with focus on businessoutcome AI Based Prioritized Queue AI BasedPersonalized Communication AI BasedPersonalized Communication Predict Channel andTime Predict Channel andTime AI Based Resolution Strategies AI Based Resolution Strategies AI Based ResolutionStrategies AI based Prioritization AI based Prioritization AI basedPrioritization Predefined data model for each loan product enables easy onboarding CollectEdge - SolutionOverview

  28. 27 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries Generates 360 degree viewof customer to identify patterns and predict behavior Servicing Collection

  29. Contextualized Suggestions and Predictions. Self Optimizes with Time Recovery Recovery Data Analysis Scatter Plot Matrix PDPPlots Simple operationalization Simpleoperationalization

  30. Extensible Domain DataModels Pre created Domain Features Pre created Domain Features Deep Feature Synthesis Best in class ML models like CNN, RF, GBT, LRetc... Best in class ML models like CNN, RF, GBT, LRetc... Data Transformation Predictive Insights Feature Engineering ModelBuild Real time explainability into individual predictions made by the ML model Auto Model/ Auto tuning Auto Model/ Auto tuning Auto Model/ Auto tuning Real time explainabilityinto individual predictions made by the ML model Real time explainability into individual predictions made by the ML model Real time explainability into individual predictions made by the ML model Multicolinearity Automated TransformationPipeline

  31. 80% of Data Science effort 20% of Data Scienceeffort Automation InCollectEdge 28 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries Packaged Business Applications overcomesthe challenges presented by statistical models and bespoke ML builds Realize value in weeks Monthlysubscription

  32. StatisticalModels Accuracy highly dependent on skills ofmodeler AImodels comparison Manual effort andtime consuming Limited variablesset More variables, better view of borrowerfinancials Time consuming, requiring scarce resources Explainability vs accuracy challenge

  33. Borrower Propensity + Behavioural Patterns +Financials Demystify the ML model with inbuilt explainability Demystify the ML model with inbuiltexplainability Higher accuracy with less dependency on skill Smart Search for high accuracymodels Smart Search for high accuracy models Borrower Propensity+ Behavioural Patterns +Financials Automated data science for rapid value delivery Automated data science for rapid valuedelivery 29 ©2019 Mindfields Global. All rights reserved. MindSpeaks WebinarSeries Bespoke MLBuild Inherent Focus on Compliance Inherent Focuson Compliance Operationalizationis challenging Simplified operationalization & selfoptimization

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