First QuantUniversity Online Summit -2020
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https://innovatinginturbulenttimes.splashthat.com/ A conversation with Innovators, Startups Investors, Enterprises all challenged to innovate in turbulent times! AI, Machine Learning and Data Science have seen a huge spike in interest and the innovations we have seen in the last decade have been tremendous. Fintech innovations have changed how we do business and healthcare innovations are promising innovations that can change how we diagnose, test and treat diseases. With uncertainties due to #Covid19 and volatilities in the markets, the trajectory and scope of innovations in these areas are being questioned.
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First QuantUniversity Online Summit -2020
- 1. AI/ML and Fintech Innovating in Turbulent times 2020 Copyright QuantUniversity LLC. Presented By: Sri Krishnamurthy, CFA, CAP First Online QuantUniversity Summit 04/09/2020 3.00pm EST
- 2. 2 QuantUniversity • Analytics and Fintech Advisory • AI/ML, Model Governance & Fintech • Trained 1000s of students in Quantitative methods, Data Science and Big Data & Fintech • Programs ▫ Analytics Certificate Program ▫ Fintech Certification program • Building
- 3. • Founder of QuantUniversity LLC. • Advisory and Consultancy for Financial Analytics • Prior Experience at MathWorks, Citigroup and Endeca and 25+ financial services and energy customers. • Regular Columnist for the Wilmott Magazine • Author of forthcoming book “Financial Modeling: A case study approach” published by Wiley • Charted Financial Analyst and Certified Analytics Professional • Teaches Analytics in the Babson College and at Northeastern University, Boston Sri Krishnamurthy Founder and CEO 3
- 4. 4
- 5. 5 Agenda
- 6. 6 Role of AI during the COVID crisis Talk 1 Rima Alameddine, NVIDIA
- 7. Rima Alameddine VP Americas Enterprise, Healthcare and Manufacturing INNOVATING IN TURBULENT TIMES
- 8. 8
- 9. 9 NVIDIA AT THE INTERESCTION OF GRAPHICS, HPC, AI GRAPHICS | HPC | AI
- 11. 11 CHALLENGES UTILIZING AI & HPC SOFTWARE OPTIMIZATIONINSTALLATION Complex, time consuming, and error- prone Requires expertise to optimize framework performance IT can’t keep up with frequent software upgrades Users limited to older features and lower performance MAINTAINENCEPRODUCTIVITYEXPERTISE Building AI-centric solutions requires expertise
- 12. 12 NGC – SIMPLIFYING AI & HPC WORKFLOWS OPTIMIZED SOFTWARE FASTER DEPLOYMENTS Eliminates installations. Simply Pull & Run the app Key DL frameworks updated monthly for perf optimization Empowers users to deploy the latest versions with IT support Better Insights and faster time-to-solution ZERO MAINTENANCE HIGHER PRODUCTIVITY EMBEDDING EXPERTISE Deliver greater value, faster
- 13. 13 NGC: GPU-OPTIMIZED SOFTWARE HUB Simplifying DL, ML and HPC Workflows Innovate Faster Deploy Anywhere Simplify Deployments Pre-trained Models NLP, Classification, Object Detection & more Model Training Scripts NLP, Image Classification, Object Detection & more NGC Helm Charts AI applications, K8s cluster, Registry Containers DL, ML, HPC Industry SDKs Medical Imaging, Intelligent Video Analytics
- 14. 14 CONTAINERS: SIMPLIFY WORKFLOWS Simplifies Deployments Get started in minutes Portable
- 15. 15 WHY NGC CONTAINERS Optimized for Performance Scalable Performance Designed for Enterprise & HPC environments Run Anywhere
- 16. 16 GPU-OPTIMIZED SOFTWARE CONTAINERS Over 50 Containers on NGC DEEP LEARNING MACHINE LEARNING HPC VISUALIZATION INFERENCE GENOMICS NAMD | GROMACS | more RAPIDS | H2O | moreTensorRT | DeepStream | more ParabricksParaView | IndeX | more TensorFlow | PyTorch | more
- 17. 17 CONTINUOUS PERFORMANCE IMPROVEMENT Developers’ Software Optimizations Deliver Better Performance on the Same Hardware Monthly DL Framework Updates & HPC Software Stack Optimizations Drive Performance 15000 16000 17000 18000 19000 20000 21000 22000 19.03 19.10 Images/Second MxNet 256 Batch Size | ResNet-50 Training v1.5| 16x V100 | DGX- 2 8000 9000 10000 11000 12000 13000 14000 15000 19.03 19.10 Images/Second PyTorch 10000 11000 12000 13000 14000 15000 16000 17000 19.05 20.01 Images/Second TensorFlow Speedup across Chroma, GROMACS, LAMMPS, QE, MILC, VASP, SPECFEM3D, NAMD, AMBER, GTC, RTM | 4x V100 v. Dual-Skylake | CUDA 9 for Mar '18 & Nov '18, CUDA 10 for Mar '19 15x 16x 17x 18x Nov '18 Jun'18 Oct '19 HPC Applications 512 Batch Size | ResNet-50 Training v1.5| 16x V100 | DGX- 2 512 Batch Size | ResNet-50 Training v1.5| 16x V100 | DGX- 2
- 18. 18 THE NGC MODEL REGISTRY Popular AI Models & Pre-Trained Models Domain specific for video analytics, Language models and medical imaging Use transfer learning and your own data to quickly create accurate AI Available models: BERT, Bio-BERT, Organ & tumor segmentation, x-ray classification, classification and object detection for video analytics
- 19. 19
- 20. 20 CLARA AI TOOLKIT Build, Manage & Deploy AI for Radiology TRAINING TRANSFER LEARNING AI-Assisted Annotation – Hours to Minutes | 10x Less Training Data Needed | 24 Pre-Trained Models Reference Training and Deployment Pipelines | Available at developer.nvidia.com/clara-medical-imaging AI DEPLOYMENT PRE-TRAINED MODELS AI-ASSISTED ANNOTATION
- 21. 21 NATURAL LANGUAGE UNDERSTANDING Image Recognition NLP Megatron 8.3B parameters NLP – Generative Tasks 1.5Bn 26M 340M Microsoft 17B parameters Turning NLG
- 22. 22 JARVIS - MULTIMODAL AI
- 23. 23 GET STARTED WITH NGC Explore the NGC Registry for DL, ML & HPC Deploy containers: ngc.nvidia.com Learn more about NGC offering: nvidia.com/ngc Technical information: developer.nvidia.com
- 25. 25 PARABRICKS LICENSE Free License (30 days) Based on Genome Analysis Toolkit Accelerated for GPUs. Analysis x50 faster. Taking hours instead of days. Researchers sequencing: Virus and Genome of people affected. Free compute Cycles & Nvidia NCG containers from partners: Oracle, Core Scientic & NetApp, Tencent Cloud, Groupware
- 26. 26 FOLDING@HOME TO FIGHT COVID-19 Folding@home is a collaborative project focused on disease research The project is managed by Washington University in St. Louis School of Medicine NVIDIA called on gamers to donate idle compute More than a million computers are now on the network Amassed enough donations to create a crowd-sourced exascale supercomputer
- 27. 27 WHITE HOUSE HPC CONSORTIUM Help accelerate the research detection and treatment of COVID-19 Expertise across a variety of critical domains, including AI, supercomputing, drug discovery, molecular dynamics, genomics, medical imaging and data analytics
- 28. 28 HEALTHCARE COVID-19 • Free Compute for Parabricks: • Roche Data Science Consortium • Video Analytics • Drug Discovery • Medical Imaging • Analytics • Online virtual care
- 30. 30 Emerging Strong from a Turbulent Economy Talk 2 Erdogan Cesmeli, IBM
- 31. EMERGING STRONG FROM A TURBULENT ECONOMY ERDOGAN CESMELI, PHD, MBA APRIL 9, 2020 The content in this presentation is solely the presenter’s view and not representing that of IBM.
- 32. “Bad companies are destroyed by crisis. Good companies survive them. Great companies are improved by them.” - Andy Grove, former CEO of Intel, outlined when he described what happens to businesses in tumultuous times 2
- 33. PACE OF CHANGE Reference: Innovating During a Crisis, Pete Foley, innovationexcellence.com 3
- 35. NEW CONSUMER NEEDS & BEHAVIOR 5
- 36. “GOD, GRANT ME THE SERENITY TO ACCEPT THE THINGS I CANNOT CHANGE THE COURAGE TO CHANGE THE THINGS I CAN, AND THE WISDOM TO KNOW THE DIFFERENCE.” RYAN HOLIDAY, THE OBSTACLE IS THE WAY, 2014 6
- 37. MAJOR BANKRUPTCIES • The overwhelming burden of the 2008 Financial crisis on the 20 biggest bankruptcies is evident from the fact that 9 out of the 20 biggest bankruptcies (45%) were a direct result of the unexpected event. • The technological shift (e-commerce) is also putting further pressure on the brick & mortar stores with 38 retailers closing their businesses in the U.S for the year 2017-18. • The major reason for the bankruptcies was the ”health” of the company rather than the external factor. 7
- 38. COMPANIES EMERGED IN THE MIDST OF CRISES 1. Proctor and Gamble (Panic of 1837) 2. Coors (Depression of 1873) 3. Standard Oil (Rockefeller took it over Feb 1865, final year of the civil war) 4. UPS (Panic of 1907) 5. GM (Panic of 1907) 6. Fortune magazine (90 days after market crash of 1929) 7. United Airlines (1929) 8. Walt Disney Company (11 months of smooth ops, 12th was the market crash of 1929) 9. HP (Great Depression, 1935) 10. FedEx (oil crisis of 1973) 11. Charles Schwab (market crash of 1974 - 1975) 12. Costco (recession in late 1970s) 13. Revlon (Great Depression, 1932) 14. Microsoft (recession in 1973 - 1975) 15. LinkedIn (2002, post dot com bubble) “Half the companies in the Fortune 500 were started during a bear market or recession.” -Ryan Holiday, The Obstacle is the Way, 2014 8
- 39. “WHEN AMERICA RACED TO SEND THE FIRST MEN INTO SPACE, THEY TRAINED THE ASTRONAUTS IN ONE SKILL MORE THAN IN ANY OTHER: THE ART OF NOT PANICKING.” RYAN HOLIDAY, THE OBSTACLE IS THE WAY, 2014 9
- 40. APPROACH: FOCUS • Problem Solving at Heart • Uniting around a Purpose • Seeing the System Differently • Unfreezing the Organization • Creating a bias toward Action Reference: Innovation in a Time of Crisis, 2020, Larry Clark, harvardbusiness.org 10
- 41. IBM’S RESPONSE TO COVID-19 ACCELERATE DISCOVERY • The COVID-19 High Performance Computing (HPC) Consortium • World Community Grid • Deep Search Service • Explore Drug Candidates • IBM Functional Genomics Platform TRUSTED INFORMATION • Incident Tracking from the Weather Channel • Micromedex & DynaMed for Clinicians • Watson Assistance for Citizens RESILIENCY & ADAPTATION • Trusted business intelligence • Call for Code • Resources for Remote Learning Reference: https://www.ibm.com/thought-leadership/covid19/ 11
- 42. IBM #1: EXPLORE DRUG CANDIDATES 1. Select a biological target and filter generated molecules by important characteristics 2. View related molecules and nearest match in PubChem 3. See relationships among molecules 4. Save and export your findings for further evaluation 12
- 43. IBM #2: INCIDENT TRACKING-WEATHER CHANNEL • COVID-19 Trusted Data Fabric • The Weather Channel brings together trusted data from governments, the WHO and CDC to give over 300 million monthly visitors access to detailed virus tracking. • Citizens can see what’s happening in their county. 13
- 44. IBM #3: CALL FOR CODE • With the unprecedented effect of COVID-19, unite to help communities across the globe deal with the impact of the greatest crisis of modern times. • Use open source technology in the cloud to build solutions that can provide crisis communication, remote education, and community cooperation. • Create an application that makes an immediate and lasting impact in communities around the world by using AI, IoT, data science, and the latest IBM Cloud™ open source development platforms. 14
- 45. “LIFE SPEEDS ON THE BOLD AND FAVORS THE BRAVE.” INSPIRED BY P. T. BARNUM “FORTUNE ALWAYS FAVORS THE BRAVE, AND NEVER HELPS A MAN WHO DOES NOT HELP HIMSELF.” 15
- 46. THIS IS THE SLIDE TO REMEMBER • Perception • Action • Will “Too many people think that great victories like Grant’s and Edison’s came from a flash of insight. That they cracked the problem with pure genius. In fact, it was the slow pressure, repeated from many different angles, the elimination of so many other more promising options, that slowly and surely churned the solution to the top of the pile.” - The Obstacle is the Way, 2014, by Ryan Holiday 16
- 47. Q & A 17
- 48. 31 The State of FinTech During COVID-19: Implications for Business Operations, Funding, M&A and IPOs Talk 3 Dushyant (D) Shahrawat, CFA
- 49. www.rblt.com 324 0 W A L L S T R E E T , N E W Y O R K , N Y COVID-19’s Impact on Private FinTech Rosenblatt Securities FinTech Investment Banking Apr 9th 2020 www.rblt.com Dushyant “D” Shahrawat | Director FinTech Investment Banking Rosenblatt Securities
- 50. www.rblt.com 33 Rosenblatt’s FinTech Index has reversed its 12-month trend of outperforming the S&P FinTech Index Composition – 26 companies in InsurTech, Capital Markets, Payments, Online Lending, Personal Finance Equally Weighted – VIRT, CBOE, EVER, QNST, GWRE, CSLT, LC, QTWO, GDOT, TREE, GSKY, SYF, TRU, BKI, PYPL, SQ, EFX, EVOP, IIIV, CDLX, ENVA, ELVT, FICO, INTU, ZUO, TW F i n Te c h Pe r fo r m a n c e R e l a t i v e To T h e B r o a d M a r ke t I n d e x 1-Year return ↓ 20 % ↓ 10 % ↓ 20 % 52 week Peak ↑ 21 % ↑ 29% ↑ 49 % Peak → Trough ↓ 34 % ↓ 30 % ↓ 47 % -30% -20% -10% 0% 10% 20% 30% 40% 50% Mar-19 Apr-19 May-19 Jun-19 Jul-19 Jul-19 Aug-19 Sep-19 Oct-19 Nov-19 Nov-19 Dec-19 Jan-20 Feb-20 Mar-20 S&P 500 NASDAQ Composite FinTech Index Peak à Trough = [Peak price (-) 3/24 closing price ] / Peak price 49% 29% 21%
- 51. www.rblt.com 0 200 400 600 800 1,000 1,200 1,400 1,600 $0 $5 $10 $15 $20 $25 $30 $35 $40 Jan-08 Mar-08 May-08 Jul-08 Sep-08 Nov-08 Jan-09 Mar-09 May-09 Jul-09 Sep-09 Nov-09 S&P500-BroadMarketIndex CapitalInvested($Billions) Capital Invested… S&P 500 34 Past downturns (like 2008) show that there is a lag between a Public market decline and an impact on the Private market P r i v a t e C a p i t a l I n v e s t e d , S & P 5 0 0 Pe r fo r m a n c e ( 2 0 0 8 - 2 0 1 0 | V e n t u r e C a p i t a l , P E G r o w t h E q u i t y )
- 52. www.rblt.com 2 3 % 1 3 % 6 5 % US-based Publicly Listed FinTech US-based Private FinTech Unicorn 14.2 x 3.6 x 6.9 x 35 Unicorns may face the biggest valuation drop followed by funding pressure on early stage companies What stage of FinTech growth will be most impacted? Numbers indicate the percentage of investors who say a particular stage would be impacted Early Stage (Series A – Series B) 23% of investors surveyed feel Early Stage companies will take second-largest hit in valuation A Late Stage (Series C – Series D) 13% of investors surveyed feel Late Stage companies will take the least hit in valuation B Unicorns (> $1B Valuation) 65% of investors surveyed feel Unicorns will take the greatest hit in valuation C Median Valuation / Sales As of Feb 20, 2020 As of Mar 20, 2020 US-based FinTech Unicorns 14.2 x ?? US-based Publicly Listed FinTechs 6.9 x 3.6 x Note: Y – Axis : Logarithmic Scale Source: Rosenblatt Survey, Oct 2019 How will the valuation of Unicorns be impacted? Median Sales multiple for FinTech Unicorns and Publicly listed FinTechs
- 53. www.rblt.com 36 Sector Specific Impact
- 54. www.rblt.com Challenger Banks Digital Lending Robo Advisory Capital Markets Payments InsurTech B u s i n e s s M o d e l Transaction Volumes Net Interest Margins Fees-on-AUM Transaction Volumes Transaction Volumes Underwriting Margins R e v e n u e s E x p e n s e s C o r e D r i v e r s R i s k s 37 Here’s a framework we’ve developed to analyze the impact on FinTechs 61 2 3 4 5
- 55. www.rblt.com B u s i n e s s M o d e l Transaction Volumes R e v e n u e s Transaction-based Revenue Cost of Funds Net Margins E x p e n s e s Cost of Acquisition Operating Costs C o r e D r i v e r s Transaction Volumes Cost of Acquisition R i s k s A sharp drop in transaction volumes CAC doesn’t decline proportionate to loss in sales 38 CHALLENGER BANKS: Will face a double whammy from lower transaction volumes and pressure to reduce customer acquisition costs P r e s s u r e o n r e v e n u e a s v o l u m e s d e c l i n e d u e t o l o w e r d i s c r e t i o n a r y s p e n d i n g C o s t o f F u n d s m a y n o t d e c l i n e p r o p o r t i o n a t e t o I n c u m b e n t b a n k s w e a k e n i n g t h e c o m p e t i t i v e p o s i t i o n N e e d t o r e - b u n d l e m o r e s e r v i c e s t o m o n e t i z e c u r r e n t c u s t o m e r b a s e 1
- 56. www.rblt.com B u s i n e s s M o d e l Net Interest Margin R e v e n u e s Interest Income Interest Expense Net Interest Margin E x p e n s e s Cost of Acquisition Charge offs Operating Costs C o r e D r i v e r s Net Interest Margins Cost of Acquisitions Charge offs R i s k s Delinquencies and default rates rise significantly CAC doesn’t decline proportionately to the decline in Net Interest Margin 39 DIGITAL LENDERS: A perfect storm of slower loan growth, compressed NIMs, and rising defaults/delinquencies P r e s s u r e o n N e t I n t e r e s t M a r g i n a s I n t e r e s t I n c o m e d e c l i n e s f a s t e r t h a n I n t e r e s t E x p e n s e D e f a u l t r a t e s a n d d e l i n q u e n c i e s r i s e , e s p e c i a l l y f o r n e w A l t L e n d i n g F i n T e c h s A l t D a t a a n d M a c h i n e L e a r n i n g - b a s e d l e n d i n g a l g o r i t h m s f a c e t h e i r f i r s t s e r i o u s t e s t 2
- 57. www.rblt.com B u s i n e s s M o d e l % AUM + Service Fees R e v e n u e s % AUM Service Fees Gross Revenue E x p e n s e s Cost of Acquisition Operating Costs C o r e D r i v e r s Asset Performance Capital Inflows R i s k s 40% decline in all asset classes will crimp AUMs/Fees Retail investors will become risk averse due to volatility 40 ROBO ADVISORS: Declining AUMs and investors turning risk averse threatens growth and profitability S a l e s s u f f e r d u e t o d e c l i n i n g A U M l e v e l s a n d l o w e r s e r v i c e f e e s R o b o a d v i s o r s s t r u g g l e t o l o w e r h i g h m a r k e t i n g c o s t s ( C A C ) t h e y h a v e b e e n u s i n g t o p o w e r c l i e n t a c q u i s i t i o n T r a d i t i o n a l w e a l t h m a n a g e r s g a i n a c o m p e t i t i v e a d v a n t a g e o v e r r o b o a d v i s e r s 3
- 58. www.rblt.com B u s i n e s s M o d e l Transaction Volumes R e v e n u e s Commissions Prime Brokerage, Clearing and Exchange Fees Net Trading Profits E x p e n s e s Trading Infrastructure Operating Costs C o r e D r i v e r s Volumes, Volatility Extent of Revenue Capture (Spreads) R i s k s High volatility driving larger Spreads = Profits Credit issues can precipitate liquidity and solvency problems 41 CAPITAL MARKETS: Enjoying the fruits of higher volatility, but credit risks lurk behind that may cause liquidity/solvency problems G r o w i n g v o l a t i l i t y m e a n s w i d e r s p r e a d s t h a t b o o s t r e v e n u e F i r m s a r e e n j o y i n g h i g h e r t r a d e v o l u m e s , b u t t h e g o o d t i m e s m a y n o t l a s t U n m e t M a r g i n c a l l s m a y l e a d t o c r e d i t r i s k s w h i c h t u r n i n t o l i q u i d i t y a n d s o l v e n c y p r o b l e m s 4
- 59. www.rblt.com B u s i n e s s M o d e l Transaction Volumes R e v e n u e s Transaction Fees Network Commissions Net Margins E x p e n s e s Merchant Acquisition Costs Operating Cost C o r e D r i v e r s Volumes Merchant Acquisition Costs R i s k s An economic crisis could dampen transaction volumes CAC may not adjust sufficiently to offset revenue decline 42 PAYMENTS: Transaction volumes may come under pressure, but enterprise Payments remains a bright spot U n c e r t a i n t y i n t r a n s a c t i o n v o l u m e s d u e t o t h e l o c k d o w n a n d a p r o l o n g e d r e c e s s i o n B i g b o o s t t o a l l t y p e s o f d i g i t a l p a y m e n t s , a n d a c c e l e r a t i o n o f c o n t a c t l e s s p a y m e n t s T h e l o n g - t e r m v a l u e p r o p o s i t i o n o f ‘ e m b e d d e d p a y m e n t s ’ r e m a i n s i n t a c t 5
- 60. www.rblt.com B u s i n e s s M o d e l Underwriting Margins R e v e n u e s Gross Premiums Underwriting Expense Underwriting Profit E x p e n s e s Losses Incurred Operating Cost C o r e D r i v e r s Insurance Premium Rates Loss Ratios R i s k s Most insurers are immune from Pandemic claims Boost to demand for traditional insurance and new types of coverage (event/pandemics) 43 INSURTECH: COVID-19 won’t impact claims much, while demand for new types of coverage will spur growth U s a g e - b a s e d i n s u r a n c e p r e m i u m s w i l l d e c l i n e d u e t o l o c k d o w n a n d r e s t r i c t e d m o v e m e n t L i f e & H e a l t h w i l l h a v e C O V I D - 1 9 l i a b i l i t i e s , w h i l e P r o p e r t y & C a s u a l t y h a v e e x c l u s i o n s f o r p a n d e m i c s T h e d e m a n d t o c o v e r e m e r g i n g r i s k s ( e . g . , c l i m a t e c h a n g e , p a n d e m i c s ) w i l l g e t a b o o s t 6
- 61. www.rblt.com 44 Advice and Key Takeaways
- 62. www.rblt.com Here’s a checklist of actions for Entrepreneurs and Investors Ensure Cash runway Secure funding, early Get a solid handle on sales pipeline Optimize marketing spend Right size headcount 1 2 3 4 5 6 Manage capital spend FINTECH CEOs INVESTORS Stress test portfolio Prepare alternate exit options Manage co-investors, LP relationships 1 2 3
- 63. www.rblt.com Important implications of COVID-19 and the economic decline A black swan event like Covid-19 will affect private markets differently than did the 2008 Global Financial Crisis that had structural issues, or the 2000 "dot com" bubble that had frothy valuations ascribed to unproven business models Overall, the financial services industry is healthy - strong balance sheets should help weather the current crises much better than prior downturns Private markets investments don't see the immediate markdowns that their public peers do during a crises, but they are not immune from write-downs, especially if the slowdown lasts more than a couple of quarters Different FinTech subsectors will fare differently. Balance-sheet-intensive businesses (Digital Lending, Robo-Advisory) will be at a greater risk relative to Transaction-volume businesses (Payments, Capital Markets, Transaction Banking). Consumer-facing models (B2B) will see an immediate slowdown relative to enterprise businesses (B2B) Not surprisingly, better capitalized and more established FinTechs should fare better and may actually benefit from decreased competition as less-proven peers struggle 1 2 3 4 5 6 Incumbents with stronger balance sheets, better brand names and more diversified distribution will reassert their power, and should become active in acquiring FinTechs who have struggled but have good products, IP and solid management teams
- 64. www.rblt.com 474 0 W A L L S T R E E T , N E W Y O R K , N Y COVID-19’s Impact on Private FinTech Rosenblatt Securities FinTech Investment Banking Apr 9th 2020 www.rblt.com Dushyant “D” Shahrawat | Director FinTech Investment Banking Rosenblatt Securities
- 65. 48 Adapting to Uncertain times: A Startup View Talk 4 Sri Krishnamurthy, CFA
- 67. 50 Tough choices: Accelerate, Stay the course or Pack up?
- 68. 51 Digital delivery models that leveraged cloud from the ground up as a means of delivery, online learning, paperless services, communication platforms are all seeing the - "I told you so" moment! Business model for delivery matters today!
- 69. 52 Pack up and leave? Stop dreaming big? Park the moonshot ideas for a summer day and go back to basics? Take a pivot? So what should an entrepreneur do now?
- 70. 53 When you've got lemons, make lemonade! Adapting is key
- 71. Stagnant Businesses in sustenance mode ; Not ready to weather storms Market Ready Ready to capitalize on today’s market conditions Moonshot Futuristic-Not ready for today’s markets Innovation in Turbulent Times Cash Position Innovationstage Calibrate! Stay the course Accelerate! Amplify Wake up! Pivot Too late Pack up! Sweat it! Raise Money Salvage! Cut your losses Low Funded Stagnant Market Ready Moonshot Innovation Stage 2020 Copyright QuantUniversity LLC.
- 74. 57 PRMIA Risk Challenge $30,000 worth of in-kind scholarship announced supporting 53 students
- 76. Thank you! Sri Krishnamurthy, CFA, CAP Founder and CEO QuantUniversity LLC. srikrishnamurthy www.QuantUniversity.com Contact Information, data and drawings embodied in this presentation are strictly a property of QuantUniversity LLC. and shall not be distributed or used in any other publication without the prior written consent of QuantUniversity LLC. 59