INVESTMENT

The next big thing: Fintech, AI and the age of big data


To mark Entrepreneurial investors’On the 10th anniversary, we have compiled previews of our coverage of the most important issues in finance and investment over the past decade.


The next big thing is always elusive.

When first Entrepreneurial investmentThe post with the title Fintech was published about six years ago, little did we know that artificial intelligence (AI) and big data would become the “next big thing” in the financial services industry and in our research efforts over the next few years.

It has been an interesting journey.

Pre-AI years

Our more official coverage of Fintech 201 Spring began in the spring. This included the Fintech file series and many more submissions from external contributors.

Despite all the buzz about replacing the fintech financial industry, we quickly realized that peer-to-peer (P2P) nding, mobile payments, and robotic advice were largely enriched in the volatile market. So in that sense, Fintech has complemented the established financial services industry at an early stage.

Another predictable conclusion that was far from con quintessential today when we first assumed that the successful Fintech adopted the Finn Plus tech model. In other words, the applications with the best potential are those that isolate and emphasize the collaboration between money and technology to overcome each other’s underlying weaknesses.

Searching for information: How does AI work conceptually in investing?

Outside of FinTech, as we looked around for other potential disruptors, AI and big data quickly got on our radar as well. In February and March 2018 we had a consistent schedule of articles: this matched the highest interest in AI over the past decade, according to Google Trends. The installments in the series quickly scaled the list of the most popular articles for the month and year and the most read No. Posted in this area Today.

We have compiled this series with extras No. Contributions and content from outside authors Fintech in Asia-Pacific: 2018 edition. This collection gives preliminary information to investment professionals on how AI and big investment data work. Indeed, it has made an important discovery: the Finn Plus tech model has evolved into a new development stage. In this emerging era of AI investment it is now AI plus HI, or human intelligence.

AI pioneer in investment management

Looking for Evidence: How Does AI Work in Reality?

After sampling the benefits of this innovation, the pioneers of this business became convinced that AI and big data have transformative potential. The vast majority of the industry, still had doubts or faced practical hurdles.

What our stakeholders needed at that time was not just information Proof, Proof that this fancy technology was useful real world application. We tested that estimate in May 2019 and received a warm reception. So we went to work, and a few months later created a series of case studies from 11 companies. These collections explore how they have applied AI and big data to improve their investment process across three continents and four business lines.

The report summarizes our main findings No.. We answered frequently asked questions from readers with a post and to that audience we presented the report worldwide.

These questions still come up frequently today, so writing has remained a good resource. Meanwhile, other contributors have filled our coverage with their own case studies.

Looking to try: How can my firm apply AI to our business?

This is where rubber hits the road and is probably the most exciting part of the AI ​​and Big Data journey. This is becoming one of the more difficult areas where counseling will be given. After all, each firm is unique and each individual situation is different.

With this in mind, we provide readers with a high-level framework that they can enjoy while creating their own roadmap. The first structure is organizational and the subject of our recent “T-shaped team” report. Here you will find related content and forecasts from Fintech, AI, and big data cutting edge illuminators No.. So stay tuned!

It’s an incredible experience to support readers. We hope you enjoyed the trip as much as we did. Above all, we hope the content is informative and helpful in developing your career.

Below are some of the most important No. Articles in this area.

Financial Analyst Journal Current Issue Tile

Six years of Fintech, AI and Big Data Entrepreneurial investors

Seven Trends in Investment Management: Ronald N.

In terms of his fundamental contributions to the CFA Institute Research Foundation, Ronald N. of Blackrock. Kahn has identified big data as one of the seven major trends shaping the investment industry today. At the CFA Institute Annual Conference in 2019, he went further and narrowed down the most important trends in Big Data and Smart Beta. This post by Paul McCaffrey considers ear analysis.

Book Review: Machine Learning for Resource Managers

Machine learning for resource managers Marcos M. Although the barriers to entry are high. Practitioners need at least basic programming and machine learning knowledge to benefit from this book, according to researcher Mark S. Rzepczynski.

Fintech: Revolution in asset management

Fintech is revolutionizing the financial planning industry and forcing the way resources are managed. Moving towards practice management skills and agility benefits both clients and mentors. Margureta Cheng, CFP, RICP, Robinhood and other fintech startups provide an overview of the changes that have taken place in the asset management business.

Artificial Intelligence, Machine Learning and Deep Learning: A Primer

We are witnessing the beginning of the artificial intelligence (AI) era, Larry Cao, CFA, observed in the first installment of a three-episode series on the subject. He highlights what investment managers need to know about AI, deep learning and machine learning.

T-shaped team tile

Portfolio manager, artificial intelligence is coming for your job

Artificial Intelligence (AI) investment is coming into the world, Larry Cao, CFA reports. Due to AI’s superior computational capacity and lack of behavioral bias, some in the investment industry and academic circles believe it will dominate the sector. Will it be?

The future of artificial intelligence and investment management

In the final installment of his three-episode series exploring the impact of AI on investment management, Larry Cao, CFA, explains why AI and big data will not actually replace human investors. Rather the AI ​​Plus HI (Human Intelligence) model will govern the future of investment management.

Artificial intelligence-driven investment: high alpha behind lightning

Artificial intelligence may be among the latest buzzwords of financing, but applying it to investment decisions will disrupt the industry and benefit investors who use its power, explains Dan Phillips, CFA.

Rise of the instrument: investment jobs now useless?

Will computers completely replace people in financial management? Raphael Dowdy, PhD, Milind Sharma and Paul McCaffrey explore this question because they think about what impact machine learning can have on the investment industry.

WhWhat can AI and Big Data do for money?

Larry Cao, CFA, broke some necessary inquiries from him AI pioneer in investment management Research report.

Applying AI and Big Data to Investment: Four Questions

The AI pioneer in investment management The report has inspired some compelling questions – and answers. Larry Cao, CFA, addresses several.

Advertising tiles for artificial intelligence in asset management

Use of artificial intelligence to sell mutual funds: Three stages

How can AI convert the investment product is delivered? Alan Bochman, CFA, outlines a case study that shows that when used properly and guided by human judgment, AI can create more efficient and effective processes.

AI and the future of big data: three ideas

Andrew W. Lowe and Ajay Agarwal focused on three key concepts that they hope will shape the future of AI and Big Data in a conversation with Mary Childs at the CIA Institute’s inaugural Alpha Summit. Larry Cao, CFA, distills their main insights.

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All posts are the author’s opinion. As such, they should not be construed as investment advice, or the opinions expressed must not reflect the views of the CFA Institute or the author’s employer.

Photo Credit: © Getty Images / MR.Cole_Photographer


Professional education for CFA Institute members

Members of the CFA Institute have the ability to earn self-assessment and self-reporting professional education (PL) credit, including content Entrepreneurial investors. Members can easily record credit using their online PL tracker.

Larry Cao, CFA

Larry Cao, CFA, Senior Director at the CFA Institute, conducts core research focusing on investment industry trends and investment efficiency. His current research interests include Multi-Asset Strategy and Fintech (including AI, Big Data and Blockchain). He has led the development of popular publications such as Fintech 2017: China, Asia and Beyond, Fintech 2018: The Asia Pacific Edition, Multi-Asset Strategy: The Future of Investment Management and AI Pioneers Investment Management. He is a frequent speaker at art conferences on these issues. During his time at Harvard in Boston and as an visiting scholar at MIT, he co-authored a research paper with Nobel laureate Franco Modigliani, which was published in the Journal of Economic Literature by the American Economic Association. Larry has more than 20 years of experience in the investment industry. Prior to joining the CFA Institute, Larry worked as a Senior Manager for the Asia Pacific Region at HSBC. He began his career at the People’s Bank of China as his dollar fixed income portfolio manager. He has also worked for US Asset Manager Munder Capital Management, US and International Equity Portfolio and Morningstar / Ibotson Associates, a multi-asset investment program for clients of a global financial institution. Larry has been interviewed by a wide range of business media such as Bloomberg, CNN, the Financial Times, the South China Morning Post and the Wall Street Journal.



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