Mizuho Opens New Fintech Innovation Center in Tokyo
- Mizuho’s lab will be based out of Tokyo’s Finolab, helping develop partnerships with startups locally.

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The move by Mizuho is hardly the first effort by a global lender to fortify its efforts in the Fintech space – to date, many other leading banks have opted to bolster their Fintech agenda, culminating in new innovation labs, centers, or partnerships with a range of companies.
Mizuho’s innovation lab will be based out of Tokyo in one of the hearts of the Fintech industry – operating out of such a diverse and mature ecosystem will help place the asset manager in a strategic location that best suits its agenda moving forward.
In particular, Mizuho’s lab will be based out of Tokyo’s Finolab, a Fintech center in the financial district backed by real estate giant Mitsubishi Estate and advertising firm Dentsu. Mizuho is aiming to use its lab in tandem with other local startups in a bid to help kindle innovation and ideas for new services that are relevant to its own operations and beyond.
As an introductory step, Mizuho has also extended a welcome towards other firms to carry out technical trials of new services based on the development environment of its soon-to-launch Open Bank API. The latest initiative follows on the heels of earlier efforts that has seen the group collaborating with several channels of the Fintech community, including partnerships with Big Data Big Data Big data refers to the collection of data that is too complex and too large for processing by standard database tools. There is no specific quantity of data, which is set as a minimum level to be considered Big data. Image the data collected on global credit card transactions. Many governments used Big data analysis to study the recent pandemic spread. The term Big data was first introduced in 1980 by Charles Tilly.The term Big data was primarily used in computer science, statistics, and econometrics and was made famous in Silicon Valley in the mid-1990s. What Big Data Can Do for YouBig data is the massive amount of data collected over time that are difficult to analyze and handle because the data sets are so enormous. The records are analyzed for marketing trends in business as well as in the fields of manufacturing, medicine, and science. The types of data include business transactions, e-mail messages, photos, surveillance videos, activity logs, and unstructured text from blogs and social media, as well as the vast amounts of data that can be collected from sensors of all varieties. Big data can also refer to the analytical challenge in deriving meaningful information from data in petabyte and exabyte volumes. For example, big data analytics breaks down the data sets into smaller chunks for efficient processing and employs parallel computing to derive intelligence for effective decision-making.Big data is used in a wide range of industries, sectors, or applications. This includes benefits for governments, healthcare, finance, education, media, internet of things (IoT), information technology, and others. Big data refers to the collection of data that is too complex and too large for processing by standard database tools. There is no specific quantity of data, which is set as a minimum level to be considered Big data. Image the data collected on global credit card transactions. Many governments used Big data analysis to study the recent pandemic spread. The term Big data was first introduced in 1980 by Charles Tilly.The term Big data was primarily used in computer science, statistics, and econometrics and was made famous in Silicon Valley in the mid-1990s. What Big Data Can Do for YouBig data is the massive amount of data collected over time that are difficult to analyze and handle because the data sets are so enormous. The records are analyzed for marketing trends in business as well as in the fields of manufacturing, medicine, and science. The types of data include business transactions, e-mail messages, photos, surveillance videos, activity logs, and unstructured text from blogs and social media, as well as the vast amounts of data that can be collected from sensors of all varieties. Big data can also refer to the analytical challenge in deriving meaningful information from data in petabyte and exabyte volumes. For example, big data analytics breaks down the data sets into smaller chunks for efficient processing and employs parallel computing to derive intelligence for effective decision-making.Big data is used in a wide range of industries, sectors, or applications. This includes benefits for governments, healthcare, finance, education, media, internet of things (IoT), information technology, and others. Read this Term outfit Metaps and VC firm WiL.
Don't miss your last chance to sign up for the FM London Summit. Register here!
The move by Mizuho is hardly the first effort by a global lender to fortify its efforts in the Fintech space – to date, many other leading banks have opted to bolster their Fintech agenda, culminating in new innovation labs, centers, or partnerships with a range of companies.
Mizuho’s innovation lab will be based out of Tokyo in one of the hearts of the Fintech industry – operating out of such a diverse and mature ecosystem will help place the asset manager in a strategic location that best suits its agenda moving forward.
In particular, Mizuho’s lab will be based out of Tokyo’s Finolab, a Fintech center in the financial district backed by real estate giant Mitsubishi Estate and advertising firm Dentsu. Mizuho is aiming to use its lab in tandem with other local startups in a bid to help kindle innovation and ideas for new services that are relevant to its own operations and beyond.
As an introductory step, Mizuho has also extended a welcome towards other firms to carry out technical trials of new services based on the development environment of its soon-to-launch Open Bank API. The latest initiative follows on the heels of earlier efforts that has seen the group collaborating with several channels of the Fintech community, including partnerships with Big Data Big Data Big data refers to the collection of data that is too complex and too large for processing by standard database tools. There is no specific quantity of data, which is set as a minimum level to be considered Big data. Image the data collected on global credit card transactions. Many governments used Big data analysis to study the recent pandemic spread. The term Big data was first introduced in 1980 by Charles Tilly.The term Big data was primarily used in computer science, statistics, and econometrics and was made famous in Silicon Valley in the mid-1990s. What Big Data Can Do for YouBig data is the massive amount of data collected over time that are difficult to analyze and handle because the data sets are so enormous. The records are analyzed for marketing trends in business as well as in the fields of manufacturing, medicine, and science. The types of data include business transactions, e-mail messages, photos, surveillance videos, activity logs, and unstructured text from blogs and social media, as well as the vast amounts of data that can be collected from sensors of all varieties. Big data can also refer to the analytical challenge in deriving meaningful information from data in petabyte and exabyte volumes. For example, big data analytics breaks down the data sets into smaller chunks for efficient processing and employs parallel computing to derive intelligence for effective decision-making.Big data is used in a wide range of industries, sectors, or applications. This includes benefits for governments, healthcare, finance, education, media, internet of things (IoT), information technology, and others. Big data refers to the collection of data that is too complex and too large for processing by standard database tools. There is no specific quantity of data, which is set as a minimum level to be considered Big data. Image the data collected on global credit card transactions. Many governments used Big data analysis to study the recent pandemic spread. The term Big data was first introduced in 1980 by Charles Tilly.The term Big data was primarily used in computer science, statistics, and econometrics and was made famous in Silicon Valley in the mid-1990s. What Big Data Can Do for YouBig data is the massive amount of data collected over time that are difficult to analyze and handle because the data sets are so enormous. The records are analyzed for marketing trends in business as well as in the fields of manufacturing, medicine, and science. The types of data include business transactions, e-mail messages, photos, surveillance videos, activity logs, and unstructured text from blogs and social media, as well as the vast amounts of data that can be collected from sensors of all varieties. Big data can also refer to the analytical challenge in deriving meaningful information from data in petabyte and exabyte volumes. For example, big data analytics breaks down the data sets into smaller chunks for efficient processing and employs parallel computing to derive intelligence for effective decision-making.Big data is used in a wide range of industries, sectors, or applications. This includes benefits for governments, healthcare, finance, education, media, internet of things (IoT), information technology, and others. Read this Term outfit Metaps and VC firm WiL.