- •THE BANK OF THE FUTURE
- •The ABCs of Digital Disruption in Finance
- •Contents
- •The Bank of the Future
- •A is for Artificial Intelligence and Automation
- •B Is for BigTech, Especially in Asia and Emerging Markets
- •C Is for Core Banking, Cloud, and Challengers
- •Where in the World?
- •Disruption by Product and Geography
- •Re-imaging versus Re-engineering Finance
- •Bank of the Future
- •Interview with Exponential View: Azeem Azhar
- •About Azeem Azhar
- •Evolution of AI – Why Now?
- •Industrialization of AI – Spending and Investing More
- •Banking & Securities Is the Largest Non-Tech Industry for AI
- •Interview with Citi Ventures: Ramneek Gupta
- •About Citi Ventures
- •About Ramneek Gupta
- •AI-driven Applications in Banking
- •Use Cases in Consumer Banking
- •Interview with Active.Ai: Ravi Shankar
- •About Active.AI
- •About Ravi Shankar
- •Use Cases in Commercial Banking
- •Use Cases in Capital Markets Banking
- •Interview with Behavox: Erkin Adylov
- •About Behavox
- •About Erkin Adylov
- •AI Enables FTE Reduction, Optimizes Distribution
- •Chinese BigTech and Financial Services
- •[A] Ant Financial Builds an Empire of Services
- •[B] Tencent's WeChat Is China's App for Everything
- •Interview with Kapronasia: Zennon Kapron
- •About Kapronasia
- •About Zennon Kapron
- •China and India on Different FinTech Paths
- •India on the Frontline of Digital Finance
- •India's Transformation Towards Digital
- •Google's m-wallet (Tez) Sees Early Success
- •New RBI Directive Could Threaten Digital Payments
- •About Aditya Menon
- •GAFAs at the Gate with PSD2; But Do Bank Clients Care?
- •What is PSD2?
- •The New Banking Model under PSD2
- •U.K.'s Open Banking Standard
- •Impact of PSD 2/Open Banking on Banks – Risk of Disintermediation?
- •Chapter C: Core Banking, Cloud and Challengers
- •Challenge of Legacy Core Banking Systems
- •Banks Face Multiple Pain Points
- •Do Banks Need To Update Core Systems?
- •IT Change: Incumbents, Neobanks and Vendors’ Views
- •[A] The Incumbent Banks’ View
- •[B] The Neobanks’ View
- •Case Study: Leveris Banking Core
- •Journey to the Cloud
- •Cloud Ecosystem – The Vision for Hardware, Applications and Data
- •There Are Many Different Ways to Move Applications to the Cloud…
- •Some Application Workloads Are Easier to Move to Cloud than Others
- •And Core Banking Applications Are the Hardest to Address
- •Interview with Ping An: Jonathan Larsen
- •About Jonathan Larsen
- •Chapter D: Digital Assets
- •Bitcoin, Blockchain and All Things Crypto
- •Internet vs. Blockchain Financial Value Capture
- •2017: The Year of Crypto
- •Who is Buying Bitcoins?
- •2018: The Year of Second-Layer Protocols?
- •About PwC – FinTech and RegTech Team
- •About Henri Arslanian
- •Blockchain Applications
- •A.] The Power of Smart Contracts
- •B.] KYC-Chain and Digital Identity
- •C.] Reg-Tech
- •D.] ICOs – A Risky New Paradigm?
- •Regulatory approach to ICOs differ significantly across countries
- •Regulatory Approaches to Bitcoin
- •About King & Wood Mallesons
- •About Urszula McCormack
- •What is Ripple? How is it Different?
- •Ripple XRP – The Cryptocurrency
- •Banks and the Ripple Protocol
- •How Are Central Bank Cryptocurrencies Different
- •What Are Central Bankers Saying on CBCCs?
- •Epilogue: Emerging Market BRATs beyond China and India
- •Introducing the BRATs
- •A.] Share Unique Banking Sector Characteristics
- •B.] Favorable Demographics
- •C.] Technology Enablers
- •FinTech Investments Trends
- •About Vostok Emerging Finance
- •About David Nangle
- •NOW / NEXT
vk.com/id446425943 |
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21 |
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March 2018 |
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Citi GPS: Global Perspectives & Solutions |
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Industrialization of AI – Spending and Investing More |
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Banking & Securities Is the Largest Non-Tech Industry for AI |
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Outside the tech sector itself, financial services is one of the leading early adopters |
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of AI. According to the IDC, the banking and securities sector is not only the biggest |
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spender on external AI services but is also expected see fast spending growth over |
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the next five years. Most bank investments are focused on risk management, fraud |
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prevention, and compliance activities. |
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Figure 12. Market Sizes for Various AI Vertical Markets (2016-2019E) |
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$8,000 |
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$7,000 |
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Millions |
$6,000 |
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$5,000 |
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$4,000 |
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In |
$3,000 |
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$2,000 |
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$1,000 |
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$0 |
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Telecommunications |
Education |
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Utilities |
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Insurance |
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Transportation |
Government |
Manufacturing |
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Retail |
Other Industries |
Healthcare |
Banking& Securities |
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2016 |
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2017E |
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2018E |
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2019E |
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Source: IDC, Citi Research |
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AI startups seem most focused on applying AI solutions to verticals such as FinTech, |
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insurance, healthcare, cybersecurity, and developing general-purpose/predictive |
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analytics. Within FinTech, we are seeing use of AI for credit scoring/direct lending, |
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regulatory/compliance & fraud detection, business finance & expense reporting, |
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insurance, quantitative & asset management, assistants, and personal finance. |
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According to data from CB Insights, total AI funding in 2017 reached $15.2 billion |
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(+144% year over year), spread over 1,349 deals. By geography, the U.S. still leads |
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globally in terms of the number of AI startups and total equity deals but is gradually |
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losing its previous overwhelming dominance. |
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Figure 13. Artificial Intelligence – Funding and Number of Deals |
Figure 14. Artificial Intelligence Funding by Geography, 2016 |
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Disclosed Funding ($ bn) |
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Deals |
1,349 |
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U.S. deal share |
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Non-U.S. deal share |
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23% |
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888 |
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25% |
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31% |
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38% |
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50% |
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482 |
635 |
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77% |
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75% |
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310 |
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68% |
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62% |
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50% |
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$1.7bn |
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$3.5bn |
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$4.6bn |
$6.3bn |
$15.2bn |
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2013 |
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2014 |
2015 |
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2016 |
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2017 |
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2013 |
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2014 |
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2015 |
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2016 |
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2017 |
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Note: Excludes hardware-focused robotics startups |
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Source: CB Insights, Citi Research |
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Source: CB Insights, Citi Research |
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© 2018 Citigroup
vk.com/id446425943 |
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22 |
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Citi GPS: Global Perspectives & Solutions |
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March 2018 |
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AI in the U.S. is dominated by tech companies such as Amazon (predicting and |
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analyzing customer shopping patterns); Google (strong AI push, acquired 50+ AI |
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startups in 2015-16); IBM (high-profile Watson AI service); Apple (acquired four AI |
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startups in 2015-16 for its digital assistants, facial/voice recognition); and Facebook |
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(analyzing big data on social media). |
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AI in China is driven by the three Chinese tech giants – Baidu, Didi, and Tencent – |
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that already possess advanced image/voice recognition and have set up their own |
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AI research labs. Chinese financial institutions are also active here, with players |
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such as Ping An utilizing AI for customer service, investments and insurance |
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products, and fraud detection in the cards business. |
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Rising M&A – BigTech giants such as Google, Baidu, Apple, Intel, Facebook and |
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Microsoft have increased their focus on AI, with more spend on internal R&D and |
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deployment as well as targeted acquisition of startups. Since 2012, over 300 private |
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firms using AI across different verticals have been acquired, not just by BigTech |
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companies but also by traditional insurance, retail, and healthcare incumbents. |
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Figure 15. AI-related Merger & Acquisition Activity |
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M&A Deals |
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115 |
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80 |
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39 |
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45 |
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22 |
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11 |
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2012 |
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2013 |
2014 |
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2015 |
2016 |
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2017 |
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Source: CB Insights, Citi Research |
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Race for patents – The number of AI-related patents filed by tech giants has |
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steadily increased since 2014, with leading players such as Google and Microsoft |
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filing as many as over 300 patents, individually, since 2009. By geography, we find |
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U.S. and Chinese companies on top with the most registered patents. |
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Figure 16. AI Patents Filed by Tech Giants |
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Figure 17. Patent Application Priorities |
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Microsoft |
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Amazon |
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Apple |
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Amazon |
Apple |
Microsoft |
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175 |
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AI / Automation |
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150 |
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Behav ioral Analy tics |
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125 |
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Cy bersecurity |
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100 |
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Hardw are |
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75 |
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Cloud Computing |
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50 |
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25 |
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Mobile |
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0 |
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Unmanned Aerial Vehicles |
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2009 |
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2011 |
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2013 |
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2015 |
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Nov'17td |
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AR / VR |
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Source: CB Insights, Citi Research |
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Source: CB Insights, Citi Research |
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© 2018 Citigroup