Become a Co-Author of "The AI Book" published by WILEY - Submit your proposal by 31 March

FINTECH Circle created The FINTECH Book, The WealthTECH Book and The InsurTECH Book - all published by WILEY - which all became global bestsellers creating a global community of 200+ fintech co-authors. If you and your company research and apply artificial intelligence solutions to finance, it's your chance now to apply to become a future co-author and share your expertise in our next book, "The AI Book" which will be published in 2020. Apply here by 31 March by setting up an account and submit your 1 page abstract.

Below you find the Table of Contents for The AI Book consisting of:

• Part 1: AI - Need to Know
• Part 2: AI solutions for Deposits & Lending
• Part 3: AI solutions for Insurance
• Part 4: AI solutions for Payments
• Part 5: AI solutions for Investment Management
• Part 6: AI solutions for Capital Markets
• Part 7: Trust, Transparency & Ethics
• Part 8: Talent in Transformation
• Part 9: Legal Risk & Regulation
• Part 10: Future of AI

The Editing Team consists of Anne Leslie, Shan Millie, Ivana Bartoletti and myself (from left to right). Submission Deadline is 31 March by which you need to upload a 1 pager - ie a proposal for what topic you would like to right about for The AI Book. The table of Content is detailed below - you have to select the Part you would like to contribute to after you login here.

Part 1: AI - Need to Know

The first primitive applications of AI in banking date back to the 1950s and today, AI is being used to great effect across the financial services industry. Financial firms across the globe are increasingly aware of the power of AI to improve the customer experience, reduce operational expenses, enhance compliance efforts and help them enter new markets and gain revenue more quickly.This chapter provides a pragmatic overview of the evolution and impact of the various AI technologies which have made dramatic advances in our ability to use machines to automate and enhance financial services, and which are likely to be further amplified by complementary technologies such as blockchain and quantum computing.

Part 2: Deposits & Lending

Deposits and lending represent a massive business which directly and indirectly touches almost all parts of the economy. This chapter looks at both the opportunities and challenges of some of the newest and most interesting attempts to use AI in the deposits and lending business, such as:

● How AI is being used to determine creditworthiness, particularly for those without credit histories, as well as to streamline the lending process

● How AI is being leveraged in the form of chatbots and in digital advisory

● How AI is being used to improve the banking experience for customers, and what this means down the line in terms of reliance on personally identifiable information (PII) for financial decision-making

Part 3: Insurance

Insurance is cited as the original ‘data-led sector’ — a locus of huge opportunity, and simultaneously at imminent risk of existential disruption, because of AI. Insurers unambiguously recognise AI as game-changer, whilst pointing to here-and-now behavioural pricing (telematics, anyone?), facial recognition, chatbots and sophisticated real-time anti-fraud.This chapter seeks to show the state-of-play, near-term developments, and the live issues: from Underwriting and Claims to Access to Insurance; from new visions of Customer engagement in Life&Health, to working out new modes of value for the innovating corporate customer; from solving old problems, to working out what ‘disrupted’ Insurance looks like.

Part 4: Payments

Across all sectors, e-commerce and innovative new payment systems are being fuelled by open banking, improved internet access and increased use of smartphones. Artificial Intelligence holds many promises in this field and has the potential to profoundly transform the payment sector leading to better fraud prevention and detection, reduced operational costs as well as leaner processes.This chapter aims to unlock the potential of AI in the digital payment sector, showcase the possible uses and opportunities while presenting the challenges and issues to enable leaders to understand how to leverage the opportunities and mitigate the risks.

Part 5: Investment Management

Automated trading has been happening for a long time and, like in many other sectors, has the potential to reduce costs, increase efficiencies and help gain competitive advantage by humans delegating tasks to machines for decision making in fast-moving financial markets.This chapter will provide an understanding of the potential of AI beyond the trading floor, explore to what extent financial sector players are ready to hand over decisions to machines, and with what degree of human intervention and judgment call. In particular, the chapter will analyse the opportunities of AI deployment in investment and asset management, and what are the key challenges and skills gap that may be needed to keep up with a fast-paced sector where the market moves at rapid speed.

Part 6: Capital Markets

AI’s impact on and in Capital Markets is proposed as a democratizing force for access to capital across the global economy, through unlocking greater efficiencies, safety and security, and performance. Firms are engaged today in testing out AI technologies to cut costs and streamline process and speed up trading.This Chapter explores current use cases and ideas further, and seeks to show where next steps in adding Value (for clients, colleagues and other stakeholder)may come — in front-, middle or back-office, from active investment to capital flows. When will we see full automation of sales and trading? What is the business case for AI, and what questions (or obstacles, depending on your viewpoint) must be answered?

Part 7: Trust, Transparency & Ethics

Finance may well be a test for the trust consumers place in Artificial Intelligence. Data is essential for the AI industry to flourish but what steps do financial services need to take to ensure customers trust the sector to innovate through AI? And what is the tradeoff between consumer benefits and privacy? E-commerce, PSD2 and the rapid increase of smartphone ownership mean consumers demand efficient services alongside strong security and privacy protections.This chapter will focus on the key issues of transparency and trust, and will outline what digital ethics mean for the financial sector. As ethics is becoming mainstream in the debate around AI, contributors will outline what are the ethical challenges facing fintech players and institutions alike, from creditworthiness to algorithmic bias and fairness, and use of personal data and transparency.

Part 8: Talent in Transformation

Globalisation, technological progress and demographic change are having a profound impact on labour markets, affecting both the quantity and quality of jobs that are available, as well as how and by whom they are carried out. The talent shifts we are already witnessing are likely to be amplified and further accelerated by AI-driven talent transformation, creating the so-called ‘AI-advantage’ and the ‘Augmented Human’.This chapter examines different facets of the talent transformation phenomenon, including:

● The impact of national industrial strategies in the context of global mega-trends

● The dynamics of workforce disruption and systemic social solutions such as Basic Income

● The ‘new leadership imperative’ and the primacy of renewed corporate purpose in driving culture change

Part 9: Legal Risk & Regulation

Adoption into the ‘business as usual’ of AI creates both new risks, and yet more of existing risks, for financial services firms, and Regulators of all kinds. This Chapter aims to map out the landscape, and hub thinking on key issues and developments. Who is ultimately responsible for AI decision-making? What does ‘Liability’ mean? What does regulating the development and use of AI look like, and who are the actors involved — governments, industry, tech firms, academia, consumer bodies? Where do the common standards for identity, audibility, data-sharing etc. come from and how are they enforced? Is RegTech the answer?

Part 10: Future of AI

This final chapter shares the insights of our global AI experts about the future. How will AI change our financial lives? How will AI solutions be applied to all parts of banking from retail banking, corporate banking to investment banking, from asset & wealth management to insurance? How will it change our jobs, from the role of new hires to C-level executives and decision making at the Board? The chapter is for the most visionary AI thought leaders who like to look about 10+ years in the future.

Any questions, pls let us know. We are looking forward to review your proposals!

Best wishes, Susanne Chishti

CEO & Founder @FINTECHCircle @FTC_Institute & Co-Editor The FINTECH, WealthTECH and InsurTECH Books

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