Extracted from the Fintech Power 50, October 2025

In the 21st-century economy, talent has always been a competitive edge. But with the rise of artificial intelligence, we are no longer simply talking about talent, we are now in a full-speed race for AI-ready talent. And the finish line is moving fast.

Across industries and nations, the same pattern is unfolding: some individuals and organisations are scaling their capabilities at exponential speed, while others are quietly losing ground. What’s driving this divergence isn’t access to technology. It’s readiness to use it, strategically, structurally and systemically.

Today, AI is not just automating tasks. It’s rewriting how value is created, how decisions are made, and how institutions are designed. This shift is producing a new kind of talent landscape.
On one side, we see Mass Displacement: roles built on routine execution are shrinking or vanishing. On the other, we see the rise of Supercharged Professionals, those who amplify their impact by integrating AI into the way they think, decide, and deliver. And at the very frontier are Creative Disruptors, individuals building entirely new systems, often achieving in months what used to take years.

But the most striking insight? This race is still invisible to many. It’s not marked by degrees or titles. Traditional indicators of success, seniority, credentials, even technical skills, no longer predict future performance. What matters now is the ability to operate in ambiguity, structure complex problems and use AI to build, not just to speed up.

This is not about learning to prompt ChatGPT. It’s about learning how to lead in an AI-powered world. The CFTE, Centre for Finance, Technology and Entrepreneurship’s Performance Hexagon shows that as AI takes over task execution, the real value shifts upward, to those who solve problems, design systems, and create new pathways.

For individuals, this means moving from tool users to system thinkers. For organisations, it means embedding AI-readiness into the core of leadership, talent strategy and workflows. And for nations, it’s no longer about workforce size, but talent density, how many people can adapt and lead in a world of constant transformation.

We are living through a structural transformation of work, value and relevance. CFTE’s whitepaper — The AI-fication of Talents, is not a future trend; it’s the present reality. And like every race, the advantage goes to those who see it first, and act faster.

We are not running against each other; we are running against irrelevance. For nations, companies and societies, the question is not just who adopts AI fastest. It’s who builds the deepest, most inclusive capability to lead in this era of intelligence at scale. That is why CFTE is proud to work with nations, leaders, educators, and institutions that understand this isn’t just a tech challenge, it’s a human one. One that demands the full power, perspective and leadership of everyone, especially the women too often left at the margins of the last wave of innovation. Global Women in AI is playing its part.

“The future of talent must be AI-ready.
But it must also be equitable.”

The future of talent must be AI-ready. But it must also be equitable. Global Women in AI by CFTE is a movement to ensure that women are central in shaping the future of AI. We all know how impactful AI already is, and how transformative it will continue to be, but are we creating the most impactful technology ever without women, without everybody being at the table?

This matters because diversity influences the kind of systems we build. When more perspectives are involved, technology becomes more inclusive, more ethical and more useful to society as a whole. Our mission at Global Women in AI is to create the pathways that make this possible: equipping women with knowledge, building communities of support, and opening opportunities to lead. Inclusion must be designed, encouraged and supported.

Tram Anh Nguyen
Co-founder of CFTE and chairwoman Global Women in AI, is a global leader building the systems, alliances, and platforms that ensure the AI transition delivers widespread, human-centred progress.
Whitepaper report: AI-fication of Talents Whitepaper
LinkedIn: linkedin.com/in/tramanhnguyen9
www.thepower50.com

#Women empowerment #Human AI capacity building #AI inclusion #Global Women in AI #AI #Women #Talent #Digital Transformation #Education #AIatscale #AI for good #AI Literacy #AIwebinar #CFTE #GWAI #HuyNguyenTrieu #TramAnhNguyen #AIfication infrastructure #AIreadiness #Inclusion #Diversity #AIliteracy #AIfutureProofing #AIleadership

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The latest Blockchain and Digital Assets session brought together global participants to explore one of the most transformative shifts now reshaping global trade: the tokenisation of trade finance assets. Led by Saloi Benbaha, Head of XDC Network Enterprise Alliance & Ventures and Global Women in AI Ambassador, the session unpacked how tokenisation, harmonised standards and cross-industry collaboration are redefining efficiency, transparency and trust across the trade ecosystem.

With a career spanning telecom, banking, blockchain and energy, and fresh from receiving the Policy Pioneer Award at the House of Lords, Saloi delivered a masterclass on what financial institutions must understand to stay competitive in a rapidly digitising world.

Tokenisation as a Catalyst in Trade Finance

Saloi began by outlining why tokenisation is emerging as a foundational pillar in trade finance. Traditional trade processes are burdened by fragmented systems, inconsistent data, paper-heavy workflows and long settlement cycles. Tokenisation offers a fundamentally different model—one where assets, documents and processes can be digitised, standardised and exchanged with programmable trust.

By converting trade assets such as invoices, letters of credit, guarantees or receivables into tokens, institutions can benefit from:

• Faster settlement

• Improved liquidity

• Greater transparency and auditability

• Reduced operational risk

• Enhanced interoperability across platforms and borders

Tokenisation, Saloi emphasised, is not simply a technology upgrade. It represents a structural shift toward digital-native trade finance.

Why Standards and Interoperability Matter

A central theme in Saloi’s presentation was the critical need for standards. Tokenisation cannot scale in isolation. It requires:

• Shared data models

• Common identity frameworks

• Legal and compliance harmonisation

• Industry-wide agreement on asset definitions

Saloi highlighted how emerging frameworks—such as the Digital Standards Initiative (DSI) and those developed by leading industry bodies—are paving the way for unified digital trade ecosystems. Without such standards, tokenisation risks becoming siloed, fragmented and incompatible across markets.

Collaboration as the Engine of Adoption

Tokenisation thrives through collaboration, not competition. Banks, corporates, fintechs, regulators and technology networks must co-design solutions. Saloi’s work at the XDC Network Enterprise Alliance exemplifies this collaborative model, bringing stakeholders together to build shared infrastructure and tackle adoption barriers collectively.

She also emphasised the growing importance of public-private coordination, particularly around regulatory clarity and cross-border legal frameworks.

Becoming Tokenisation-Ready: Skills and Capabilities

Saloi provided a clear blueprint for organisations preparing to embark on tokenisation initiatives. Key skill areas include:

• Understanding digital asset frameworks

• Navigating compliance and regulatory design

• Smart contract literacy

• Process redesign and workflow digitisation

• Cross-functional collaboration between technology, operations and legal teams

Tokenisation is not an IT project, it is an organisational transformation that requires new digital competencies across the value chain.

Integrating Tokenised Solutions with Legacy Infrastructure

One of the session’s most practical discussions centred on how banks can integrate tokenisation into existing trade finance systems. Saloi highlighted that the most effective strategy is to begin with well-defined, high-value use cases, and then:

1. Identify assets that benefit most from digitisation

2. Map the current processes and pain points

3. Build tokenised modules that integrate via APIs

4. Adopt a phased rollout that maintains continuity with legacy operations

The goal is not to replace existing infrastructure immediately but to extend it with digital layers that introduce automation and interoperability.

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5 Key Learning Outcomes from the Session

1. Tokenisation transforms trade finance by digitising assets end-to-end
It streamlines processes, increases liquidity, accelerates settlement and reduces friction that has long slowed global trade.

2. Standards are essential for scalable adoption
Without alignment on data, identity and legal frameworks, tokenisation remains isolated. Industry-wide standards unlock interoperability and global connectivity.

3. Collaboration drives real-world implementation
Tokenisation succeeds when banks, corporates, regulators and networks work together to redesign trade processes, not when each operates alone.

4. Successful tokenisation requires new digital skills across organisations
Teams must understand blockchain concepts, regulatory expectations, smart contracts and process redesign, not just technology.

5. Integration with legacy systems must be phased and strategic
Institutions should start with clearly defined assets and use cases, then layer tokenisation onto existing infrastructure through modular, API-driven approaches.

As trade finance undergoes rapid digital transformation, tokenisation stands out as a powerful enabler of transparency, speed and global interoperability. Saloi’s session showed that the future of trade will not simply be digitised, it will be standardised, collaborative and token-powered. For institutions looking to stay competitive, now is the moment to build the skills, partnerships and technological foundations needed to thrive in this new era. With growing momentum across industries and governments, the shift toward digital trade finance is no longer a possibility, it is already underway.

 

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AI Love You (2022)

Language: Thai

Directed by: David Asavanond & Stephan Zlotescu

Starring: Mario Maurer, Pimchanok Luevisadpaibul & David Asavanond.

Summary:  After a software glitch causes an advanced AI program to fall in love with a young woman, it escapes into the body of a man and tries to win her heart.

MOTHER/ANDROID (2021)

Language: English

Directed by: Mattson Tomlin

Starring: Chloë Grace Moretz & Algee Smith

Summary: Georgia and Sam flee their country as the world battles artificial intelligence.

Oxygen (2021)

Language: French

Directed by: Alexandre Aja

Starring: Mélanie Laurent

Summary: A woman wakes up in a cryogenic chamber with no recollection of how she got there, and she must find a way out before running out of air.

TAU (2018)

Language: English

Directed by: Federico D’Alessandro

Starring: Maika Monroe, Ed Skrein & Gary Oldman

Summary: A woman trapped inside a sadistic genius’ smart house must somehow get past the advanced artificial intelligence guarding her.

Blade Runner 2049 (2017)

Language: English

Directed by: Dennis Villeneuve

Starring: Ryan Gosling, Harrison Ford, Ana De Armas and Jared Leto

Summary: K, an officer with the Los Angeles Police Department, unearths a secret that could create chaos. He goes in search of a former blade runner who has been missing for over three decades.

Steve Jobs (2015)

Language: English

Directed by: Danny Boyle

Starring: Michael Fassbender, Kate Winslet & Seth Rogen

Summary: Steve Jobs takes us behind the scenes of the digital revolution, to paint a portrait of the man at its epicenter. The story unfolds backstage at three iconic product launches, ending in 1998 with the unveiling of the iMac.

Conclusion

Movies perceive AI in either an emotional, love or destroy the world kind of way. Regardless, in everyone’s mind may think whether AI is going to take over our jobs one day? On top of that, if you don’t fully understand the context of Artificial Intelligence, CFTE is here to guide you with our AI in Finance course. If you are a Singaporean Citizen or PR, available subsidy for the Conversational AI in Finance is offered 80-90%. Also, do you have a movie recommendation that’s not included in this list? Please share in the comments.

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In today’s day and age, it’s next to impossible to have not completed even a single task without the help of a virtual assistant who adheres to your ‘voice command’. A growing preference for voice interaction with virtual assistants and bots is booming, and it could be because ‘voice’ has always been the most natural way to engage with people and customers too – as the tech giant, Amazon, claims. A voice interface also provides convenience to millions as they save on time and the cognitive burden that goes into typing a query they want answered or a task they want done.

This raises an important question today – what makes this convenience laden technology a reality? 

And is it this the same technology that gave birth to Siri, Alexa and Google Assistant?

Like most revolutionary technologies, this too is driven by AI technology – particularly conversational artificial intelligence. It would be enriching to understand what this technology is and how it has empowered products like Siri, Alexa and Google Assistant to have more human-like capabilities.

What is Conversational Artificial Intelligence?

Conversational artificial intelligence can be defined as an intelligent mechanism of imitating real-life human conversations. This game-changing technology is made possible as it is built on the sturdy foundation of machine learning (ML), and natural language processing (NLP). By feeding in extensive volumes of data, machines can be wired to learn the essence of human interactions, giving them the power to recognise speech and text inputs while also translating its meaning into an array of desired languages.

Are Siri, Alexa and Google Assistant examples of conversational AI?

Yes! Technologies like Siri, Alexa and Google Assistant that are ubiquitous in every household today are excellent examples of conversational AI.  These conversational AI bots are more advanced than regular chatbots that are programmed with answers to certain questions. These virtual assistants are configured to be more human-like, generating responses that are more natural and aligned to real human conversations as compared to chatbot conversations. 

If you have ever asked your virtual assistant, “What’s the weather like today?” Or asked it to, “Play my saturday night music playlist!”, this intelligent machine is able to give you the right answer in a matter of seconds and can perform the task quicker than if you had to lift a finger. All this is made possible with conversational software created with artificial intelligence, which has led to an explosive growth of a number of voice assistants across the world. 

But how are these advanced virtual assistants able to understand human commands and perform a variety of tasks?

Let’s investigate!

How does Siri, Alexa and Google Assistant’s Conversational AI Technology Work?

Machine learning is an integral part of giving Siri, Alexa and Google Assistant the human superpowers they possess today. Machine learning  is an application of Artificial Intelligence that focuses on training systems to improve their ability to learn so they can better perform tasks – in this case, interact better with humans. This is done by feeding data to computer systems so that they can automatically analyse patterns to guide decision-making in the future. What’s exciting is that machines learn on their own without the need of having to be programmed by a human, allowing them to develop greater capabilities. Other fields of machine learning like natural language processing and deep learning are also integral in helping conversational AI become a reality.

So each time Alexa, Siri or Google assistant make an error while responding to your query, it uses this information to learn and rectify its mistake in the future. Thus by taking in data of when it makes a mistake or when its response was accurate it uses this as a rulebook to guide its behaviour in the future.  

Though this process could be deceptively simple from the outside, it involves the synthesises of a number of complex processes behind the scenes to get the desired result. To help break down these processes into understandable bites of information, we compiled the following steps to explain how conversational AI works:

Step 1 : Automatic Speech Recognition (ASR)

Once a query is shot out, the voice assistant’s artificial intelligence must understand what has been asked through automatic speech recognition (ASR), which converts speech to text. 

Step 2  : Natural Language Understanding (NLU)

Once this is done, natural language processing through natural language understanding (NLU), helps the system interpret the input to understand the sentiment and intent behind the query. It deciphers this despite the grammatical errors or shortcuts. 

Step 3 : Machine Learning to Configure a Response

Next, to fabricate an appropriate response, the machine determines the correct answer based on the context of the user’s intent, with the help of machine learning. Over time, by learning different variations of a query guided by the same intent, the machine learns the most appropriate response.

Step 4 : Natural Language Generation (NLG)

After having synthesized all this information, the machine now works to produce a comprehendible response with the help of natural language processing through natural language generation (NLG). Whether it may be completing a task or answering a question, it completes the process in a way that is more akin to human interaction.

Step 5 : Text-to-speech Software

With a response in place, the virtual assistant now translates the text into a voice response with text-to-speech software.

To summarize how conversational AI works:

1. Automatic speech recognition (ASR) converts speech to text.
2. Natural language understanding (NLU) interprets the query intent.
3. Machine learning helps configure a response.
4. Natural language generation (NLG) helps generate a human-like response.
5. Text-to-speech software converts the generated response into speech.

Share our infographic to help your network understand how your virtual assistant’s conversational AI works!

Now that we understand the nuts and bolts of what facilitates a conversation with a robot, it would also be worth considering why this technology is useful at all! 

Consumers are always on the hunt for the next best experience or product to make their life easier and this radically changes their behaviour over time as they adapt to new technologies.

Businesses today are designed with customers taking center stage at every step – from conception to execution. With this as a guiding principle for businesses, when any revolutionary technology props up in the market to bolster that mission, it is impossible to go forward without paying heed to those technological advancements. To paint a clear picture of why conversational AI can help business owners take their offerings up a notch, let’s explore the benefits of conversational AI for businesses.

Why is Conversation AI Important for your Business?

1. Enhancing Customer Experience

With the evolution of myriad businesses missioned to simplify our lives with tailored apps on smart devices, one can often have a disjointed experience toggling from one app to another. This predicament has led to the rise of the voice assistant as a single interface for interaction. Though popularly used as virtual assistants at home to dim the lights or play some music, the possible applications of voice assistants can go well beyond the regular uses we see.

For instance, we now have conversational AI for banking whereby customers can bid adieu to complex navigation menus and could check their account balances by simply asking their smart device. 

2. Optimising Repetitive Tasks

From e-commerce sites to call centres, business employees are often burdened with a continuous flow of repetitive tasks. Though robotic process automation (RPA) is designed to perform recurring tasks, they aren’t always performed with a customer-centric approach in mind. In these cases using conversational AI to generate more intuitive and real, human interactions can help fill in the widened chasm today. This will also help to automate a high volume of tasks and interactions in the avenue of customer servicing while giving support staff the bandwidth to deal with more pressing issues.

3. Gaining Insights from a Wealth of Data

Conversational AI, being an unstructured mechanism of communication gathers information during every interaction for algorithmic improvement. This generates rich data that can be utilised to create better customer insights and drive the business forward by closely aligning to user objectives. 

Conclusion

Though today, businesses have not successfully been able to navigate the range of possibilities created by conversational AI, this sector is on track to radically change the way consumers interact with businesses. The conversational AI market size is set to grow from $4.8 Billion in 2020 to a staggering $13.9 Billion by 2025, at a Compounded Annual Growth Rate of 21.9%. The main drivers of this unprecedented growth are increasing demand for conversational AI for customer service, the possibility of omnichannel deployment and a reduction in development costs of these advanced technologies. As organisations realise the true value of conversational AI and grapple for successful execution, they will need to combat the lack of accuracy seen in this technology today and innovate to produce better solutions. As innovation advances, it’s safe to say that the applicability of conversational AI could be endless.

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In today’s digitally enhanced world, automation is lurking in every corner of our lives – from your Alexa speaker at home to driving decisions in the boardroom. As this technology infiltrates every-day life, it is hard not to hear the buzzwords – Artificial intelligence (AI) and Machine Learning (ML), ringing in our ears. 

People often use the terms interchangeably – but are they really one and the same thing? Not exactly.

What is Artificial Intelligence?

Artificial Intelligence can be defined as the science of training machines to perform human tasks. AI is the method of developing computer systems to emulate human intelligence and is also the engineering behind giving machines human-like properties.

To successfully implement knowledge engineering, machines or computer software need to have access to a large amount of information to be programmed to act and think like a human. This helps build up the machine brain power needed to problem-solve, to allow analytical reasoning and to wire in common sense into a machine. Artificial intelligence has two main subsets: Machine learning and deep learning.

Artificial intelligence is ubiquitous in the field of tech today, and to better understand the concept, it would be worthwhile to get a grip on what artificial intelligence can do by identifying some of the AI applications that exist today. 

AI Applications:

• Image Recognition: Have you ever wondered how facebook automatically recognises faces to tag in a photo? This is an ideal example of AI being used for image recognition.

• Recommendations: AI if equipped with the right information can make recommendations for movies, music, products or services, be it through Spotify’s recommended playlists or targeted online advertisements.

• Natural Language Processing: AI has the capability of understanding human communication to respond in a way that is natural. A chatbot is a perfect example for this. They are programmed to interpret a wide array of queries to give you the best answer to your question.

What is Machine Learning?

To give you a comprehensive introduction to Machine learning (ML), it is necessary to first understand that ML is an element embedded into the wider realm of Artificial Intelligence. This means that machine learning is AI, but not all types of AI are machine learning. ML focuses on training systems to improve their ability to learn so they can better perform tasks. This learning is done by feeding data to computer systems so that they can automatically analyse patterns to guide decision making in the future. This process does not require humans to explicitly hard code tasks to be performed, but allows machines to learn on its own. 

For machine’s to be exceptionally advanced at ‘doing by learning’, they require large amounts of granular data that covers a sizably diverse area. Much like humans who learn to do certain things from experience, machines are able to do the same but in a matter of seconds.

Machine learning can be segmented into 3 types:

1. Supervised learning

To enable supervised machine learning, systems need to have data with observations as well as the labels and classifications of that data. To give a simple example, a set of data can consist of images of both cats and dogs that are labeled for the machine to interpret. In the future, this knowledge is then used to predict whether an image presented is a cat or dog.

2. Unsupervised learning

In this case machines require a dataset with observations but without the compulsion of the data being classified or labeled. So if a machine was to learn how to cross a road, you wouldn’t teach it to do so with precise rules, but rather show it a set of 10,000 videos of someone crossing safely and another 10,000 showing the opposite. The machine is then left to learn on its own.

3. Reinforcement learning

This kind of learning is evident from the name itself, the machine is penalised or rewarded based on its performance in an attempt to help it learn the right way of doing a task. If the error is low the reward is high, if the error is high then the penalty is high.

To draw a clearer picture of what is machine learning, and to help see how machine learning is more specific as compared to the broader concept of AI, let’s dive into some of the ways machine learning is used today.

Machine Learning Applications:

• Segmenting Data: Machine learning can help carry out targeted online campaigns, as mentioned under the applications of AI, by segmenting the large database of customers to give you segments based on some criteria, who can then be individually targeted. 

• Predicting Outcomes: Machine learning is known to assimilate data continually and learn from it to improve predictions. An example of this would be estimating the ETAs for rides with a cab like Uber. The machine learns from experience the time it would take to reach a certain location at a certain time and makes predictions accordingly.

To help clearly Identify the differences between Artificial Intelligence and Machine Learning, here is a concise comparison table of Artificial Intelligence versus Machine Learning:

Artificial Intelligence versus Machine Learning

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About Philip Watson

Philip Watson is the Head of Global Investment Lab and the Chief Innovation Officer at Citi Private Bank, he is also a Senior Lecturer in CFTE’s AI in Finance Specialisation . Philip has 20 years of experience in Finance. He is the Head of the Global Investment Lab, which provides expert advice to ultra high net worth individuals and their family offices on portfolio construction, risk management and investment strategy. He is also the Chief Innovation Officer and supports clients by sharing insights and perspectives on key trends and emerging technologies. 

His work at Citi, has led Philip and his team to win the PWN Wealth Tech Awards 2020, establishing Citi as the best Private Bank for Big Data Analytics and Artificial Intelligence. Equipped with these experiences, Philip has a strong focus on developing and implementing AI in Banking, particularly in Private Banking. 

Masterclass: A new format of live learning events

Through the format of Masterclasses, CFTE is offering a content-packed session, designed to teach optimally, whilst granting attendees a preview of what our courses deliver. In the Masterclass by Philip, he provided deep insights  not only into his perception of the importance and use of AI in Private Banking, but also within his firm. Interestingly, at Citi the ideation phase of a new development for a process begins at a basic level where the application is determined by tasks that appear time-inefficient or human capital inefficient. Therefore, he strongly believes that “AI does not replace people but instead augments people.” 

Post-ideation and development phase, he further argued the importance of successfully implementing AI in an organisation. For this implementation, embedding an aligned culture will be essential towards achieving this. Key ways this can be done is by focusing on partnerships with external companies, or alternatively,  hosting hackathons. Citi has been able to successfully build this culture by creating its own Venture Capital fund that invests in entrepreneurs and brings fresh ideas into the company. Apart from partnerships, he emphasised on other ways to successfully implement AI in an organisation including providing a framework to support growth, building awareness among the employees and ensuring everyone remains connected to new ideas. Thus in summation, Philip emphasised the importance of Planning, People and Partnerships in being able to deliver AI in a meaningful way in any organization. 

In order to give a more in-depth understanding on this subject, CFTE’s AI in Finance Specialisation breaks down different topics and explores each one separately. Philip Watson is a Senior Lecturer for this specialisation. He  brings his expertise to our course and teaches everything on the AI revolution that is happening in finance. This specialisation is also curated by industry experts such as Stephan Murer, Ex-CTO of UBS, alongside Dr. Ayesha Khanna CEO of ADDO AI,  Jon-Tzen Ng, Chief Strategy & Innovation Officer at Pig Ann Technology, and Dr. Winnie Cheng, Chief Data Scientist at IO-Tahoe. The AI in Finance specialisation gives a global outlook of AI concepts across it’s numerous and diverse applications, for financial professionals to remain competitive in the new era of finance. With these kinds of Masterclasses, you’ll be able to gain knowledge, and a sneak peak of our specialisation. In alignment with CFTE’s strategies, we want to enable professionals to get ahead in the industry, and Masterclasses are just one of the ways in which you can achieve that. You can find more information by clicking on the button below.

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4 Fintech Trends That Will Transform 2019

The past twelve months proved to be a banner year for Fintech, read more about that in our summary of the industry in 2018, as emerging technologies like artificial intelligence and machine learning created many new applications in financial services. Can the same be expected for the next calendar year? Absolutely.
Below, we outline four key Fintech trends that will likely transform financial services in some way in 2019.

1. Artificial Intelligence Sees Increased Adoption

After observing the impact of Artificial Intelligence across many other industries, we are truly witnessing the positive consequences of its effective implementation in Finance. 2019 will see greater adoption of Artificial Intelligence in financial services applications, backed by machine learning.
David Sosna, co-founder & CEO of Personetics, claims

“Self-Driving Finance is a practical implementation of AI that is already used in one form or another by millions of bank customers around the globe and will only get better in the coming years. Based on projects that are currently underway with banks at different parts of the world, I see a big uptake in the number of customers that will rely on AI to ‘drive’ their finances and take automated actions to help them reach their financial goals.”

Furthermore, consumers can expect more prominent voice-operated assistants in banking, with the likes of OCBC Bank partnering with Google to recently launch the first AI-powered voice banking service in Singapore. The service can converse with customers about bank services like future savings, nearby ATMs and calculate loan interests.

2. Blockchain and Financial Inclusion

In 2019, Blockchain will enable financial inclusion for more individuals than ever before, by offering the unbanked easy access to a verifiable online identity. Most of this will occur in regions with poor entry-level banking accessibility, such as South Asia, Africa and Latin America. An IBM study expects 65 percent of banks to have adopted blockchain technology by 2019’s end.
This increase will mean a massive amount of people newly contributing to the global economy, and will generate more opportunities for individuals and businesses to improve their financial standing and grow by building credit.

3. Growth of Mobile Payments

Already an enormous industry, processing over a billion dollars daily in 2017, the mobile banking and payments sector will see meteoric growth through the new year, with widespread adoption coming through areas of significant financial exclusion, such as Latin America, South Asia and sub-Saharan Africa. In the latter, 21 percent held a mobile money account in 2017, which is double the figure of 2014, illustrating the growing trajectory of adoption in underdeveloped banking regions.
Tied into blockchain technology, it will provide individuals an accessible method of becoming part of the financial ecosystem without approaching the high barriers to entry offered by traditional banking. This is driven by unanimous adoption of smartphones, which when coupled with access to the internet provides users the opportunity of financial management without the necessity of opening a traditional bank account at a retail location, a problem for plenty in rural areas.

4. Rise of Digital Banks

Traditional banking has had a successful and prosperous long run. While it would be premature to ring the death knell for the incumbents in finance, they are definitely very concerned about the rise of digital-only banks. Banks without a physical presence, so no waiting in lines to open an account or to seek financial guidance. Banks with financial services you can receive from the comfort of your homes and offices, at the tap of an app or secured website.
These digital-only banks are gaining rapid momentum with millenials, with bank visits expected to drop 36 percent by 2022. Investors are also taking sharply to the concept of a banking institution without a physical presence, with Monzo recently raising £20m – the largest ever crowdfunding round for a Fintech startup – in just 2 hours earlier this month. Another instance can be found in Revolut, a finance app that facilitates worldwide currency and cryptocurrency exchange. As of late 2018, Revolut has more than 2 million users, with around 8,000 new users signing up for the service on a daily basis.

How can I get prepared for Fintech in 2019?

Understanding the intricacies of financial technology has never been more important to succeed in finance. Luckily, CFTE has bridged this knowledge gap with our Fintech Foundation Course — designed for learners to get a solid foundation in Fintech concepts, applicable for beginners & professionals. Feel free to join our courses above, or sign up to our weekly newsletter after the jump below!
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4 Fintech Trends That Will Transform 2019

The past twelve months proved to be a banner year for Fintech, read more about that in our summary of the industry in 2018, as emerging technologies like artificial intelligence and machine learning created many new applications in financial services. Can the same be expected for the next calendar year? Absolutely.
Below, we outline four key Fintech trends that will likely transform financial services in some way in 2019.

1. Artificial Intelligence Sees Increased Adoption

After observing the impact of Artificial Intelligence across many other industries, we are truly witnessing the positive consequences of its effective implementation in Finance. 2019 will see greater adoption of Artificial Intelligence in financial services applications, backed by machine learning.
David Sosna, co-founder & CEO of Personetics, claims

“Self-Driving Finance is a practical implementation of AI that is already used in one form or another by millions of bank customers around the globe and will only get better in the coming years. Based on projects that are currently underway with banks at different parts of the world, I see a big uptake in the number of customers that will rely on AI to ‘drive’ their finances and take automated actions to help them reach their financial goals.”

Furthermore, consumers can expect more prominent voice-operated assistants in banking, with the likes of OCBC Bank partnering with Google to recently launch the first AI-powered voice banking service in Singapore. The service can converse with customers about bank services like future savings, nearby ATMs and calculate loan interests.

2. Blockchain and Financial Inclusion

In 2019, Blockchain will enable financial inclusion for more individuals than ever before, by offering the unbanked easy access to a verifiable online identity. Most of this will occur in regions with poor entry-level banking accessibility, such as South Asia, Africa and Latin America. An IBM study expects 65 percent of banks to have adopted blockchain technology by 2019’s end.
This increase will mean a massive amount of people newly contributing to the global economy, and will generate more opportunities for individuals and businesses to improve their financial standing and grow by building credit.

3. Growth of Mobile Payments

Already an enormous industry, processing over a billion dollars daily in 2017, the mobile banking and payments sector will see meteoric growth through the new year, with widespread adoption coming through areas of significant financial exclusion, such as Latin America, South Asia and sub-Saharan Africa. In the latter, 21 percent held a mobile money account in 2017, which is double the figure of 2014, illustrating the growing trajectory of adoption in underdeveloped banking regions.
Tied into blockchain technology, it will provide individuals an accessible method of becoming part of the financial ecosystem without approaching the high barriers to entry offered by traditional banking. This is driven by unanimous adoption of smartphones, which when coupled with access to the internet provides users the opportunity of financial management without the necessity of opening a traditional bank account at a retail location, a problem for plenty in rural areas.

4. Rise of Digital Banks

Traditional banking has had a successful and prosperous long run. While it would be premature to ring the death knell for the incumbents in finance, they are definitely very concerned about the rise of digital-only banks. Banks without a physical presence, so no waiting in lines to open an account or to seek financial guidance. Banks with financial services you can receive from the comfort of your homes and offices, at the tap of an app or secured website.
These digital-only banks are gaining rapid momentum with millenials, with bank visits expected to drop 36 percent by 2022. Investors are also taking sharply to the concept of a banking institution without a physical presence, with Monzo recently raising £20m – the largest ever crowdfunding round for a Fintech startup – in just 2 hours earlier this month. Another instance can be found in Revolut, a finance app that facilitates worldwide currency and cryptocurrency exchange. As of late 2018, Revolut has more than 2 million users, with around 8,000 new users signing up for the service on a daily basis.

How can I get prepared for Fintech in 2019?

Understanding the intricacies of financial technology has never been more important to succeed in finance. Luckily, CFTE has bridged this knowledge gap with our Fintech Foundation Course — designed for learners to get a solid foundation in Fintech concepts, applicable for beginners & professionals. Feel free to join our courses above, or sign up to our weekly newsletter after the jump below!
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b3giXSArIHNwYW4gbGFiZWwgeyBkaXNwbGF5OmlubGluZTsgfQogI19mb3JtXzlfIC5fcm93IHNwYW4gbGFiZWwgeyBtYXJnaW46MCAhaW1wb3J0YW50OyB3aWR0aDppbml0aWFsICFpbXBvcnRhbnQ7IHZlcnRpY2FsLWFsaWduOm1pZGRsZSAhaW1wb3J0YW50OyB9CiAjX2Zvcm1fOV8gLl9mb3JtLWltYWdlIHsgbWF4LXdpZHRoOjEwMCU7IGhlaWdodDphdXRvICFpbXBvcnRhbnQ7IH0KICNfZm9ybV85XyBpbnB1dFt0eXBlPSJ0ZXh0Il0geyBwYWRkaW5nLWxlZnQ6MTBweDsgcGFkZGluZy1yaWdodDoxMHB4OyBmb250LXNpemU6MTZweDsgbGluZS1oZWlnaHQ6MS4zZW07IC13ZWJraXQtYXBwZWFyYW5jZTpub25lOyB9CiAjX2Zvcm1fOV8gaW5wdXRbdHlwZT0icmFkaW8iXSwjX2Zvcm1fOV8gaW5wdXRbdHlwZT0iY2hlY2tib3giXSB7IGRpc3BsYXk6aW5saW5lLWJsb2NrOyB3aWR0aDoxLjNlbTsgaGVpZ2h0OjEuM2VtOyBmb250LXNpemU6MWVtOyBtYXJnaW46MCAwLjNlbSAwIDA7IHZlcnRpY2FsLWFsaWduOmJhc2VsaW5lOyB9CiAjX2Zvcm1fOV8gYnV0dG9uW3R5cGU9InN1Ym1pdCJdIHsgcGFkZGluZzoyMHB4OyBmb250LXNpemU6MS41ZW07IH0KICNfZm9ybV85XyAuX2lubGluZS1zdHlsZSB7IG1hcmdpbjoyMHB4IDAgMCAhaW1wb3J0YW50OyB9CiB9CiAjX2Zvcm1fOV8geyBwb3NpdGlvbjpyZWxhdGl2ZTsgdGV4dC1hbGlnbjpsZWZ0OyBtYXJnaW46MjVweCBhdXRvIDA7IHBhZGRpbmc6MjBweDsgLXdlYmtpdC1ib3gtc2l6aW5nOmJvcmRlci1ib3g7IC1tb3otYm94LXNpemluZzpib3JkZXItYm94OyBib3gtc2l6aW5nOmJvcmRlci1ib3g7ICp6b29tOjE7IGJhY2tncm91bmQ6I2ZmZiAhaW1wb3J0YW50OyBib3JkZXI6MHB4IHNvbGlkICNiMGIwYjAgIWltcG9ydGFudDsgd2lkdGg6NTAwcHg7IC1tb3otYm9yZGVyLXJhZGl1czowcHggIWltcG9ydGFudDsgLXdlYmtpdC1ib3JkZXItcmFkaXVzOjBweCAhaW1wb3J0YW50OyBib3JkZXItcmFkaXVzOjBweCAhaW1wb3J0YW50OyBjb2xvcjojMDAwICFpbXBvcnRhbnQ7IH0KICNfZm9ybV85XyAuX2Zvcm0tdGl0bGUgeyBmb250LXNpemU6MjJweDsgbGluZS1oZWlnaHQ6MjJweDsgZm9udC13ZWlnaHQ6NjAwOyBtYXJnaW4tYm90dG9tOjA7IH0KICNfZm9ybV85XzpiZWZvcmUsI19mb3JtXzlfOmFmdGVyIHsgY29udGVudDoiICI7IGRpc3BsYXk6dGFibGU7IH0KICNfZm9ybV85XzphZnRlciB7IGNsZWFyOmJvdGg7IH0KICNfZm9ybV85Xy5faW5saW5lLXN0eWxlIHsgd2lkdGg6YXV0bzsgZGlzcGxheTppbmxpbmUtYmxvY2s7IH0KICNfZm9ybV85Xy5faW5saW5lLXN0eWxlIGlucHV0W3R5cGU9InRleHQiXSwjX2Zvcm1fOV8uX2lubGluZS1zdHlsZSBpbnB1dFt0eXBlPSJkYXRlIl0geyBwYWRkaW5nOjEwcHggMTJweDsgfQogI19mb3JtXzlfLl9pbmxpbmUtc3R5bGUgYnV0dG9uLl9pbmxpbmUtc3R5bGUgeyBwb3NpdGlvbjpyZWxhdGl2ZTsgdG9wOjI3cHg7IH0KICNfZm9ybV85Xy5faW5saW5lLXN0eWxlIHAgeyBtYXJnaW46MDsgfQogI19mb3JtXzlfLl9pbmxpbmUtc3R5bGUgLl9idXR0b24td3JhcHBlciB7IHBvc2l0aW9uOnJlbGF0aXZlOyBtYXJnaW46MjdweCAxMi41cHggMCAyMHB4OyB9CiAjX2Zvcm1fOV8gLl9mb3JtLXRoYW5rLXlvdSB7IHBvc2l0aW9uOnJlbGF0aXZlOyBsZWZ0OjA7IHJpZ2h0OjA7IHRleHQtYWxpZ246Y2VudGVyOyBmb250LXNpemU6MThweDsgfQogQG1lZGlhIGFsbCBhbmQgKG1pbi13aWR0aDozMjBweCkgYW5kIChtYXgtd2lkdGg6NjY3cHgpIHsgI19mb3JtXzlfLl9pbmxpbmUtZm9ybS5faW5saW5lLXN0eWxlIC5faW5saW5lLXN0eWxlLl9idXR0b24td3JhcHBlciB7IG1hcmdpbi10b3A6MjBweCAhaW1wb3J0YW50OyBtYXJnaW4tbGVmdDowICFpbXBvcnRhbnQ7IH0KIH0KPC9zdHlsZT4KPGZvcm0gbWV0aG9kPSJQT1NUIiBhY3Rpb249Imh0dHBzOi8vY2Z0ZS5hY3RpdmVob3N0ZWQuY29tL3Byb2MucGhwIiBpZD0iX2Zvcm1fOV8iIGNsYXNzPSJfZm9ybSBfZm9ybV85IF9pbmxpbmUtZm9ybSAgX2RhcmsiIG5vdmFsaWRhdGU+CiAgPGlucHV0IHR5cGU9ImhpZGRlbiIgbmFtZT0idSIgdmFsdWU9IjkiIC8+CiAgPGlucHV0IHR5cGU9ImhpZGRlbiIgbmFtZT0iZiIgdmFsdWU9IjkiIC8+CiAgPGlucHV0IHR5cGU9ImhpZGRlbiIgbmFtZT0icyIgLz4KICA8aW5wdXQgdHlwZT0iaGlkZGVuIiBuYW1lPSJjIiB2YWx1ZT0iMCIgLz4KICA8aW5wdXQgdHlwZT0iaGlkZGVuIiBuYW1lPSJtIiB2YWx1ZT0iMCIgLz4KICA8aW5wdXQgdHlwZT0iaGlkZGVuIiBuYW1lPSJhY3QiIHZhbHVlPSJzdWIiIC8+CiAgPGlucHV0IHR5cGU9ImhpZGRlbiIgbmFtZT0idiIgdmFsdWU9IjIiIC8+CiAgPGRpdiBjbGFzcz0iX2Zvcm0tY29udGVudCI+CiA
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The post 4 Fintech Trends That Will Transform 2019 appeared first on CFTE.

Record Investment meets the Rise of AI in Finance: A Handy Summary of 2018 Fintech

Wow, what a whirlwind of a year in Fintech. Just as we predicted, 2018 proved itself to be a massive year of growth for Fintech firms and emerging technologies, like Artificial Intelligence, alike. Once rather placid with few rippling trends, fintech has transformed finance into a dynamic market with innovative firms competing to raise the bar above one another. As consumers continue to have greater expectations for personalised services across other industries like electronics and retail, the realm of financial services has realised the lucrativeness of meeting these needs.

Let’s sift through 2018 in Fintech, together:

More money than ever in Fintech

We’ll begin with the rather large elephant in the room. This last month saw the largest-ever crowdfunding round for a Fintech startup, with Monzo reaching their goal of £20m in just 2 hours and 45 minutes when it opened its round to the public on the morning of December 5th. Over 36,000 investors forked out their wallets to ensure Monzo is now valued 40 times more than their initial value during their first raise in early 2016. What’s more, this follows October’s £85 million Series E round, led by General Catalyst and Accel, which made the digital mobile-only bank the latest UK start-up to achieve bonafide unicorn status.

Speaking of Fintech unicorns, there are now about 29 of them merrily strolling the fields of finance, at an aggregated USD $84.4 billion. Q2 gave birth to five new unicorns, with Ribbit Capital and QED Investors the most active fintech unicorn investor.

Overall investment across venture capital, private equity and mergers & acquisitions are markedly above 2017’s totals. In H1, global investment in fintech firms surpassed $57.9 billion, with $16.8 and $26 billion of this going to the Asian and European continents respectively. Moreover, global median venture deal size for late stage investment rose from 2017’s now paltry $14 million to a more reasonable $25 million this year.

This, in part, was driven by two monumental deals: the record-shattering $14 billion raise by Ant Financial in Q2 and Worldpay being acquired by Vantivin Q1 for $12.9 billion. Outside of these two major outliers, the worldwide fintech market built some great momentum, as the geographic diversity of fintech investment expanded beyond expectations. The usual faces of the UK, USA, India and China aside, other nations like Japan, South Korea, Switzerland and France all saw outstanding fintech deals. Most notably, Brazil held the honour of introducing its native Nubank into the fintech unicorn club.

A broad array of companies spent big on emerging areas of innovation in finance, with artificial intelligence, machine learning and data analytics receiving particular attention from major fintech investors.

The rise of Artificial Intelligence in Financial Services

The growth and adoption of artificial intelligence in financial services throughout the year cannot be overstressed. AI has been quietly transforming the inner, core workings of banks, leading early major movers to service their AI applications to their competitors. This leads users to accelerate the program’s learning, and eventually flipping previous cost centres into future profitable divisions.

The fintech scene in UK is one of the fastest growing sectors in business, with multiple challenger banks emerging from the shadows of monolithic financial institutions. One example, OakNorth, has created its own AI application, entitled Acorn Machines, which employs data to empower lenders to offer finance to SMEs. Other startups, like ComplyAdvantage, demonstrate the utility of artificial intelligence in financial services, by providing banks with practical solutions for money laundering and trading applications.

Across the globe, artificial intelligence continues to make waves. The Monetary Authority of Singapore (MAS) formed a set of principles to guide the nation’s usage of artificial intelligence in finance. The principles promote fairness, ethics, accountability, and transparency (F.E.A.T) in the use of AI & Data Analytics (AIDA) across the finance sector. The FEAT Principles informs financial firms on the ethics when using AIDA.

Elsewhere, Beijing’s Tsinghua University partnered with the University of Hong Kong (HKU) to accelerate projects employing Artificial Intelligence, including those related to FinTech and environmental protection. The new initiative features collaboration between the Ministry of Science and Technology and Sensetime as they develop new AI applications. This follows China’s continued support for rapid innovation in technology across Hong Kong.

For some North American representation, Montreal impressively finds itself playing host to three new AI firms: QuantumBlack, WinningMinds, and BIOS, with 130 new jobs expected in the city. The trio find themselves in good company, with Montreal receiving almost CA$1.1 billion in AI investmentsince 2016 — according to Montreal International.

All this shows plenty has happened in 2018, and having a firm understanding of the concepts behind these moves is paramount to industry success.This is especially important with the close of 2018, as the turn of the New Year presents a wondrous opportunity to finally jump aboard the Artificial Intelligence movement.

Fortunately, CFTE has formed AI in Finance — a leading programme which allows participants to learn from senior industry leaders who hail from the large financial institutions, fast growing startups and regulatory agencies. Featuring 18 guest speakers and 5 senior lecturers, learners will understand how AI transforms finance. Designed for those novices or professionals who want to be part of this flourishing industry, and with no prerequisites, — join the AI revolution in Finance today!

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Record Investment meets the Rise of AI in Finance: A Handy Summary of 2018 Fintech

Wow, what a whirlwind of a year in Fintech. Just as we predicted, 2018 proved itself to be a massive year of growth for Fintech firms and emerging technologies, like Artificial Intelligence, alike. Once rather placid with few rippling trends, fintech has transformed finance into a dynamic market with innovative firms competing to raise the bar above one another. As consumers continue to have greater expectations for personalised services across other industries like electronics and retail, the realm of financial services has realised the lucrativeness of meeting these needs.

Let’s sift through 2018 in Fintech, together:

More money than ever in Fintech

We’ll begin with the rather large elephant in the room. This last month saw the largest-ever crowdfunding round for a Fintech startup, with Monzo reaching their goal of £20m in just 2 hours and 45 minutes when it opened its round to the public on the morning of December 5th. Over 36,000 investors forked out their wallets to ensure Monzo is now valued 40 times more than their initial value during their first raise in early 2016. What’s more, this follows October’s £85 million Series E round, led by General Catalyst and Accel, which made the digital mobile-only bank the latest UK start-up to achieve bonafide unicorn status.

Speaking of Fintech unicorns, there are now about 29 of them merrily strolling the fields of finance, at an aggregated USD $84.4 billion. Q2 gave birth to five new unicorns, with Ribbit Capital and QED Investors the most active fintech unicorn investor.

Overall investment across venture capital, private equity and mergers & acquisitions are markedly above 2017’s totals. In H1, global investment in fintech firms surpassed $57.9 billion, with $16.8 and $26 billion of this going to the Asian and European continents respectively. Moreover, global median venture deal size for late stage investment rose from 2017’s now paltry $14 million to a more reasonable $25 million this year.

This, in part, was driven by two monumental deals: the record-shattering $14 billion raise by Ant Financial in Q2 and Worldpay being acquired by Vantivin Q1 for $12.9 billion. Outside of these two major outliers, the worldwide fintech market built some great momentum, as the geographic diversity of fintech investment expanded beyond expectations. The usual faces of the UK, USA, India and China aside, other nations like Japan, South Korea, Switzerland and France all saw outstanding fintech deals. Most notably, Brazil held the honour of introducing its native Nubank into the fintech unicorn club.

A broad array of companies spent big on emerging areas of innovation in finance, with artificial intelligence, machine learning and data analytics receiving particular attention from major fintech investors.

The rise of Artificial Intelligence in Financial Services

The growth and adoption of artificial intelligence in financial services throughout the year cannot be overstressed. AI has been quietly transforming the inner, core workings of banks, leading early major movers to service their AI applications to their competitors. This leads users to accelerate the program’s learning, and eventually flipping previous cost centres into future profitable divisions.

The fintech scene in UK is one of the fastest growing sectors in business, with multiple challenger banks emerging from the shadows of monolithic financial institutions. One example, OakNorth, has created its own AI application, entitled Acorn Machines, which employs data to empower lenders to offer finance to SMEs. Other startups, like ComplyAdvantage, demonstrate the utility of artificial intelligence in financial services, by providing banks with practical solutions for money laundering and trading applications.

Across the globe, artificial intelligence continues to make waves. The Monetary Authority of Singapore (MAS) formed a set of principles to guide the nation’s usage of artificial intelligence in finance. The principles promote fairness, ethics, accountability, and transparency (F.E.A.T) in the use of AI & Data Analytics (AIDA) across the finance sector. The FEAT Principles informs financial firms on the ethics when using AIDA.

Elsewhere, Beijing’s Tsinghua University partnered with the University of Hong Kong (HKU) to accelerate projects employing Artificial Intelligence, including those related to FinTech and environmental protection. The new initiative features collaboration between the Ministry of Science and Technology and Sensetime as they develop new AI applications. This follows China’s continued support for rapid innovation in technology across Hong Kong.

For some North American representation, Montreal impressively finds itself playing host to three new AI firms: QuantumBlack, WinningMinds, and BIOS, with 130 new jobs expected in the city. The trio find themselves in good company, with Montreal receiving almost CA$1.1 billion in AI investmentsince 2016 — according to Montreal International.

All this shows plenty has happened in 2018, and having a firm understanding of the concepts behind these moves is paramount to industry success.This is especially important with the close of 2018, as the turn of the New Year presents a wondrous opportunity to finally jump aboard the Artificial Intelligence movement.

Fortunately, CFTE has formed AI in Finance — a leading programme which allows participants to learn from senior industry leaders who hail from the large financial institutions, fast growing startups and regulatory agencies. Featuring 18 guest speakers and 5 senior lecturers, learners will understand how AI transforms finance. Designed for those novices or professionals who want to be part of this flourishing industry, and with no prerequisites, — join the AI revolution in Finance today!

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The post Record Investment meets the Rise of AI in Finance: A Handy Summary of 2018 Fintech appeared first on CFTE.

How Artificial Intelligence is Transforming Finance

While Artificial intelligence (AI) continues to disrupt a multitude of sectors, no industry is projected to benefit more from incorporating AI systems than banking, says Sameer Maskey, Founder & CEO of Fusemachines, an AI solutions & services provider based in New York.

Maskey predicts that banking is increasingly looking to AI solutions following analysts’ estimations the emerging technology will save banking more than US$1 trillion by 2030. He offers his conversations with bank executives which illustrate the industry is ‘seriously considering artificial intelligence-based solutions for many traditional banking problems’.

These solutions proving most fruitful include: automation of customer service -via chatbots- by large banks; hedge funds seeking alpha with AI on top of new layers of data sources; and AI improving risk models for insurance firms.

There is increasing industry importance on the introduction and implementation of Artificial Intelligence. As a result, having a robust understanding of AI, its use cases and its best implementations is vitally important for industry success.

Fortunately, CFTE has formed AI in Finance — a leading programme which allows participants to learn from senior industry leaders who hail from the large financial institutions, fast growing startups and regulatory agencies. Featuring 18 guest speakers and 5 senior lecturers, learners will understand how AI transforms finance. Designed for those novices or professionals who want to be part of this flourishing industry (and with no prerequisites) — join the AI revolution in Finance today!

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JnaW46MCAhaW1wb3J0YW50OyB3aWR0aDppbml0aWFsICFpbXBvcnRhbnQ7IHZlcnRpY2FsLWFsaWduOm1pZGRsZSAhaW1wb3J0YW50OyB9CiAjX2Zvcm1fOV8gLl9mb3JtLWltYWdlIHsgbWF4LXdpZHRoOjEwMCU7IGhlaWdodDphdXRvICFpbXBvcnRhbnQ7IH0KICNfZm9ybV85XyBpbnB1dFt0eXBlPSJ0ZXh0Il0geyBwYWRkaW5nLWxlZnQ6MTBweDsgcGFkZGluZy1yaWdodDoxMHB4OyBmb250LXNpemU6MTZweDsgbGluZS1oZWlnaHQ6MS4zZW07IC13ZWJraXQtYXBwZWFyYW5jZTpub25lOyB9CiAjX2Zvcm1fOV8gaW5wdXRbdHlwZT0icmFkaW8iXSwjX2Zvcm1fOV8gaW5wdXRbdHlwZT0iY2hlY2tib3giXSB7IGRpc3BsYXk6aW5saW5lLWJsb2NrOyB3aWR0aDoxLjNlbTsgaGVpZ2h0OjEuM2VtOyBmb250LXNpemU6MWVtOyBtYXJnaW46MCAwLjNlbSAwIDA7IHZlcnRpY2FsLWFsaWduOmJhc2VsaW5lOyB9CiAjX2Zvcm1fOV8gYnV0dG9uW3R5cGU9InN1Ym1pdCJdIHsgcGFkZGluZzoyMHB4OyBmb250LXNpemU6MS41ZW07IH0KICNfZm9ybV85XyAuX2lubGluZS1zdHlsZSB7IG1hcmdpbjoyMHB4IDAgMCAhaW1wb3J0YW50OyB9CiB9CiAjX2Zvcm1fOV8geyBwb3NpdGlvbjpyZWxhdGl2ZTsgdGV4dC1hbGlnbjpsZWZ0OyBtYXJnaW46MjVweCBhdXRvIDA7IHBhZGRpbmc6MjBweDsgLXdlYmtpdC1ib3gtc2l6aW5nOmJvcmRlci1ib3g7IC1tb3otYm94LXNpemluZzpib3JkZXItYm94OyBib3gtc2l6aW5nOmJvcmRlci1ib3g7ICp6b29tOjE7IGJhY2tncm91bmQ6I2ZmZiAhaW1wb3J0YW50OyBib3JkZXI6MHB4IHNvbGlkICNiMGIwYjAgIWltcG9ydGFudDsgd2lkdGg6NTAwcHg7IC1tb3otYm9yZGVyLXJhZGl1czowcHggIWltcG9ydGFudDsgLXdlYmtpdC1ib3JkZXItcmFkaXVzOjBweCAhaW1wb3J0YW50OyBib3JkZXItcmFkaXVzOjBweCAhaW1wb3J0YW50OyBjb2xvcjojMDAwICFpbXBvcnRhbnQ7IH0KICNfZm9ybV85XyAuX2Zvcm0tdGl0bGUgeyBmb250LXNpemU6MjJweDsgbGluZS1oZWlnaHQ6MjJweDsgZm9udC13ZWlnaHQ6NjAwOyBtYXJnaW4tYm90dG9tOjA7IH0KICNfZm9ybV85XzpiZWZvcmUsI19mb3JtXzlfOmFmdGVyIHsgY29udGVudDoiICI7IGRpc3BsYXk6dGFibGU7IH0KICNfZm9ybV85XzphZnRlciB7IGNsZWFyOmJvdGg7IH0KICNfZm9ybV85Xy5faW5saW5lLXN0eWxlIHsgd2lkdGg6YXV0bzsgZGlzcGxheTppbmxpbmUtYmxvY2s7IH0KICNfZm9ybV85Xy5faW5saW5lLXN0eWxlIGlucHV0W3R5cGU9InRleHQiXSwjX2Zvcm1fOV8uX2lubGluZS1zdHlsZSBpbnB1dFt0eXBlPSJkYXRlIl0geyBwYWRkaW5nOjEwcHggMTJweDsgfQogI19mb3JtXzlfLl9pbmxpbmUtc3R5bGUgYnV0dG9uLl9pbmxpbmUtc3R5bGUgeyBwb3NpdGlvbjpyZWxhdGl2ZTsgdG9wOjI3cHg7IH0KICNfZm9ybV85Xy5faW5saW5lLXN0eWxlIHAgeyBtYXJnaW46MDsgfQogI19mb3JtXzlfLl9pbmxpbmUtc3R5bGUgLl9idXR0b24td3JhcHBlciB7IHBvc2l0aW9uOnJlbGF0aXZlOyBtYXJnaW46MjdweCAxMi41cHggMCAyMHB4OyB9CiAjX2Zvcm1fOV8gLl9mb3JtLXRoYW5rLXlvdSB7IHBvc2l0aW9uOnJlbGF0aXZlOyBsZWZ0OjA7IHJpZ2h0OjA7IHRleHQtYWxpZ246Y2VudGVyOyBmb250LXNpemU6MThweDsgfQogQG1lZGlhIGFsbCBhbmQgKG1pbi13aWR0aDozMjBweCkgYW5kIChtYXgtd2lkdGg6NjY3cHgpIHsgI19mb3JtXzlfLl9pbmxpbmUtZm9ybS5faW5saW5lLXN0eWxlIC5faW5saW5lLXN0eWxlLl9idXR0b24td3JhcHBlciB7IG1hcmdpbi10b3A6MjBweCAhaW1wb3J0YW50OyBtYXJnaW4tbGVmdDowICFpbXBvcnRhbnQ7IH0KIH0KPC9zdHlsZT4KPGZvcm0gbWV0aG9kPSJQT1NUIiBhY3Rpb249Imh0dHBzOi8vY2Z0ZS5hY3RpdmVob3N0ZWQuY29tL3Byb2MucGhwIiBpZD0iX2Zvcm1fOV8iIGNsYXNzPSJfZm9ybSBfZm9ybV85IF9pbmxpbmUtZm9ybSAgX2RhcmsiIG5vdmFsaWRhdGU+CiAgPGlucHV0IHR5cGU9ImhpZGRlbiIgbmFtZT0idSIgdmFsdWU9IjkiIC8+CiAgPGlucHV0IHR5cGU9ImhpZGRlbiIgbmFtZT0iZiIgdmFsdWU9IjkiIC8+CiAgPGlucHV0IHR5cGU9ImhpZGRlbiIgbmFtZT0icyIgLz4KICA8aW5wdXQgdHlwZT0iaGlkZGVuIiBuYW1lPSJjIiB2YWx1ZT0iMCIgLz4KICA8aW5wdXQgdHlwZT0iaGlkZGVuIiBuYW1lPSJtIiB2YWx1ZT0iMCIgLz4KICA8aW5wdXQgdHlwZT0iaGlkZGVuIiBuYW1lPSJhY3QiIHZhbHVlPSJzdWIiIC8+CiAgPGlucHV0IHR5cGU9ImhpZGRlbiIgbmFtZT0idiIgdmFsdWU9IjIiIC8+CiAgPGRpdiBjbGFzcz0iX2Zvcm0tY29udGVudCI+CiAgICA8ZGl2IGNsYXNzPSJfZm9ybV9lbGVtZW50IF94NTQyNDM5ODIgX2Z1bGxfd2lkdGggX2NsZWFyIiA+CiAgICAgIDxka
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How Artificial Intelligence is Transforming Finance

While Artificial intelligence (AI) continues to disrupt a multitude of sectors, no industry is projected to benefit more from incorporating AI systems than banking, says Sameer Maskey, Founder & CEO of Fusemachines, an AI solutions & services provider based in New York.

Maskey predicts that banking is increasingly looking to AI solutions following analysts’ estimations the emerging technology will save banking more than US$1 trillion by 2030. He offers his conversations with bank executives which illustrate the industry is ‘seriously considering artificial intelligence-based solutions for many traditional banking problems’.

These solutions proving most fruitful include: automation of customer service -via chatbots- by large banks; hedge funds seeking alpha with AI on top of new layers of data sources; and AI improving risk models for insurance firms.

There is increasing industry importance on the introduction and implementation of Artificial Intelligence. As a result, having a robust understanding of AI, its use cases and its best implementations is vitally important for industry success.

Fortunately, CFTE has formed AI in Finance — a leading programme which allows participants to learn from senior industry leaders who hail from the large financial institutions, fast growing startups and regulatory agencies. Featuring 18 guest speakers and 5 senior lecturers, learners will understand how AI transforms finance. Designed for those novices or professionals who want to be part of this flourishing industry (and with no prerequisites) — join the AI revolution in Finance today!

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