Summing Up the 10 Biggest Fintech Deals of 2015
Connect with us

Technology

Summing Up the 10 Biggest Fintech Deals of 2015

Published

on

Summing Up the 10 Biggest Fintech Deals of 2015

Image courtesy of: Raconteur

Summing Up the 10 Biggest Fintech Deals of 2015

How hot is fintech right now?

This one statistic sums it up: in 2015, a record amount of fintech deals were done for a total deal value of $24.6 billion. That number is higher than the last five years put together.

With everything seemingly turning up “fintech”, here is a summary and some reflection on the 10 biggest fintech deals of last year.

Summing Up the Biggest Fintech Deals of 2015

1. FIS acquires SunGard for $9.1 billion

The acquisition, financed with a mix of 45 percent cash and 55 percent stock, yields a combined company with $9.2 billion in annual revenue, 55,000 employees, and operations in more than 130 countries. Headquartered in Jacksonville, Florida, FIS is the world’s largest global provider dedicated to banking and payments technologies. Their technology underscores $9 trillion in global transactions each year.

SunGard, which was the target of the acquisition, was previously taken over in 2005 by a consortium of private equity firms in the largest tech privatization deal ever. It was valued at $11.3 billion.

2. ICE acquires Interactive Data Corp

Intercontinental Exchange (ICE) bought Interactive Data Corporation (IDC) from private equity firms Silver Lake Group LLC and Warburg Pincus LLC. Valued at $5.2 billion, including $3.65 billion in cash and $1.55 billion in stock, the deal allows ICE to expand the markets it serves while bringing in new technology platforms and data services.

ICE owns and operates 23 exchanges and marketplaces, with the most famous of these being the New York Stock Exchange (NYSE).

3. McGraw-Hill Financial acquires SNL Financial

McGraw-Hill Financial, the parent of the Standard & Poor’s ratings agency, paid $2.23 billion in cash to buy SNL Financial from private equity firm New Mountain Capital.

McGraw-Hill is also known for some of its other subsidiaries, such as S&P Dow Jones Indices and Platts.

4. D+H Corporation buys Fundtech

D+H, a Canadian corporation which was historically a manufacturer of cheques, has recently shifted its focus on more technology-related endeavors. Part of this includes buying global payment services provider Fundtech for $1.25 billion in cash.

In a recent press release, D+H described the transaction as a key piece in their transition to technology: “The Fundtech acquisition significantly advanced D+H in our FinTech journey and was evidence of our commitment to continue providing clients the innovative solutions they need to grow and compete.”

5. Lufax is funded by multiple investors

Lufax, also known as the Shanghai Lujiazui International Financial Asset Exchange Co., is an online Internet finance marketplace in China. Focusing on peer-to-peer loans, Lufax connects individual investors with borrowers for loans of around $10,000 while collecting a 4% fee off each loan.

Domestic and overseas institutions participated in the most recent $1.2 billion financing in December, including the investment arm of COFCO Group and Guotai Junan (Hong Kong). The company is considered a mover and shaker in the Chinese lending space, and is now valued at $18.5 billion.

6. Lufax is funded by multiple investors

Lufax was also responsible for the sixth biggest deal of 2015, as it did an earlier raise in March 2015 for $488 million from a group of investors at a valuation of nearly $10 billion.

7. Markit

Markit, which recently announced a merger with IHS to create a data heavyweight, was also very active last year.

In 2015, it initiated a secondary public offering of its common shares to investors worth $350 million.

8. Learnvest acquired by Northwestern Mutual

Northwestern Mutual went all-in on personalized financial planning by buying New York-based startup LearnVest for over $250 million.

9. Neustar acquires TNS

Real-time information services provider Neustar bought caller authentication assets from Transaction Network Services (TNS), an affiliate of Siris Capital Group, for $220 million in cash.

10. Markit buys CoreOne

Earlier in 2015, market data company Markit bought CoreOne Technologies, a global leading provider of regulatory reporting for $200 million.

Original graphic by: Raconteur

Subscribe to Visual Capitalist
Click for Comments

Technology

Infographic: Generative AI Explained by AI

What exactly is generative AI and how does it work? This infographic, created using generative AI tools such as Midjourney and ChatGPT, explains it all.

Published

on

Generative AI Explained by AI

After years of research, it appears that artificial intelligence (AI) is reaching a sort of tipping point, capturing the imaginations of everyone from students saving time on their essay writing to leaders at the world’s largest tech companies. Excitement is building around the possibilities that AI tools unlock, but what exactly these tools are capable of and how they work is still not widely understood.

We could write about this in detail, but given how advanced tools like ChatGPT have become, it only seems right to see what generative AI has to say about itself.

Everything in the infographic above – from illustrations and icons to the text descriptions⁠—was created using generative AI tools such as Midjourney. Everything that follows in this article was generated using ChatGPT based on specific prompts.

Without further ado, generative AI as explained by generative AI.

Generative AI: An Introduction

Generative AI refers to a category of artificial intelligence (AI) algorithms that generate new outputs based on the data they have been trained on. Unlike traditional AI systems that are designed to recognize patterns and make predictions, generative AI creates new content in the form of images, text, audio, and more.

Generative AI uses a type of deep learning called generative adversarial networks (GANs) to create new content. A GAN consists of two neural networks: a generator that creates new data and a discriminator that evaluates the data. The generator and discriminator work together, with the generator improving its outputs based on the feedback it receives from the discriminator until it generates content that is indistinguishable from real data.

Generative AI has a wide range of applications, including:

  • Images: Generative AI can create new images based on existing ones, such as creating a new portrait based on a person’s face or a new landscape based on existing scenery
  • Text: Generative AI can be used to write news articles, poetry, and even scripts. It can also be used to translate text from one language to another
  • Audio: Generative AI can generate new music tracks, sound effects, and even voice acting

Disrupting Industries

People have concerns that generative AI and automation will lead to job displacement and unemployment, as machines become capable of performing tasks that were previously done by humans. They worry that the increasing use of AI will lead to a shrinking job market, particularly in industries such as manufacturing, customer service, and data entry.

Generative AI has the potential to disrupt several industries, including:

  • Advertising: Generative AI can create new advertisements based on existing ones, making it easier for companies to reach new audiences
  • Art and Design: Generative AI can help artists and designers create new works by generating new ideas and concepts
  • Entertainment: Generative AI can create new video games, movies, and TV shows, making it easier for content creators to reach new audiences

Overall, while there are valid concerns about the impact of AI on the job market, there are also many potential benefits that could positively impact workers and the economy.

In the short term, generative AI tools can have positive impacts on the job market as well. For example, AI can automate repetitive and time-consuming tasks, and help humans make faster and more informed decisions by processing and analyzing large amounts of data. AI tools can free up time for humans to focus on more creative and value-adding work.

How This Article Was Created

This article was created using a language model AI trained by OpenAI. The AI was trained on a large dataset of text and was able to generate a new article based on the prompt given. In simple terms, the AI was fed information about what to write about and then generated the article based on that information.

In conclusion, generative AI is a powerful tool that has the potential to revolutionize several industries. With its ability to create new content based on existing data, generative AI has the potential to change the way we create and consume content in the future.

Continue Reading

Subscribe

Popular