The Standard Chartered Bank has announced today its partnership with Microsoft in a push to make the banking platform cloud-first, thus, promoting services like “virtual banking, next-generation Payments
Payments
One of the bases of mediums of exchange in the modern world, a payment constitutes the transfer of a legal currency or equivalent from one party in exchange for goods or services to another entity. The payments industry has become a fixture of modern commerce, though the players involved and means of exchange have dramatically shifted over time.In particular, a party making a payment is referred to as a payer, with the payee reflecting the individual or entity receiving the payment. Most commonly the basis of exchange involves fiat currency or legal tender, be it in the form of cash, credit or bank transfers, debit, or checks. While typically associated with cash transfers, payments can also be made in anything of perceived value, be it stock or bartering – though this is far more limited today than it has been in the past.The Largest Players in the Payments IndustryFor most individuals, the payments industry is dominated currently by card companies such as Visa or Mastercard, which facilitate the use of credit or debit expenditures. More recently, this industry has seen the rise of Peer-to-Peer (P2P) payments services, which have gained tremendous traction in Europe, the United States, and Asia, among other continents.One of the biggest parameters for payments is timing, which looms as a crucial element for execution. By this metric, consumer demand incentivizes technology that prioritizes the fastest payment execution.This can help explain the preference for debit and credit payments overtaking check or money orders, which in previous decades were much more commonly utilized. A multi-billion-dollar industry, the payments space has seen some of the most innovation and advances in recent years as companies look to push contactless technology with faster execution times.
One of the bases of mediums of exchange in the modern world, a payment constitutes the transfer of a legal currency or equivalent from one party in exchange for goods or services to another entity. The payments industry has become a fixture of modern commerce, though the players involved and means of exchange have dramatically shifted over time.In particular, a party making a payment is referred to as a payer, with the payee reflecting the individual or entity receiving the payment. Most commonly the basis of exchange involves fiat currency or legal tender, be it in the form of cash, credit or bank transfers, debit, or checks. While typically associated with cash transfers, payments can also be made in anything of perceived value, be it stock or bartering – though this is far more limited today than it has been in the past.The Largest Players in the Payments IndustryFor most individuals, the payments industry is dominated currently by card companies such as Visa or Mastercard, which facilitate the use of credit or debit expenditures. More recently, this industry has seen the rise of Peer-to-Peer (P2P) payments services, which have gained tremendous traction in Europe, the United States, and Asia, among other continents.One of the biggest parameters for payments is timing, which looms as a crucial element for execution. By this metric, consumer demand incentivizes technology that prioritizes the fastest payment execution.This can help explain the preference for debit and credit payments overtaking check or money orders, which in previous decades were much more commonly utilized. A multi-billion-dollar industry, the payments space has seen some of the most innovation and advances in recent years as companies look to push contactless technology with faster execution times.
Read this Term, open banking and banking-as-a-service.”
The London-headquartered bank will leverage Microsoft’s Azure and is aiming to migrate its core services on the cloud by 2025. However, the timeline depends on regulatory approvals.
“Cloud is a cornerstone of Standard Chartered’s strategy to meet the present and future banking needs of our clients.[...]Using cloud services improves our ability to be agile and innovative, while increasing our operational efficiency and resilience,” Michael Gorriz, group chief information officer, said in a statement.
“As disruption in the financial industry continues, we can focus on client benefits by deploying our solutions quicker and allowing for faster integration of new business models and partners.”
The Transformation Plan Is Already in Place
The press release detailed that the bank will move its trade finance systems to Microsoft Azur that will benefit in cross-border trade for the bank’s corporate and institutional clients.
Furthermore, the bank will also use Microsoft Azure artificial intelligence and data Analytics
Analytics
Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability.
Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability.
Read this Term capabilities, thus, enhancing and automating the banking processes. This, according to the bank, will add to “hyper personalization of its client products and experiences.”
Standard Chartered is also expecting to unlock new banking services based on its open banking application programming interface (API) and internet-of-things based on real-time payments.
“Cloud computing is an enabler for financial institutions to modernize their infrastructure and systems, to gain the agility they need to respond to competitive pressures, regulatory environments and customer demand,” Bill Borden, corporate vice president of worldwide financial services at Microsoft, added.
“The speed and scale of continuous innovation offered by Azure allows us to innovate with the latest AI services to meet evolving client needs,” Bhupendra Warathe, Standard Chartered CTO of cloud transformation, said. “We can pilot new apps in one market and scale them rapidly across others. This is especially important for a bank with a footprint as broad and diverse as ours.”
The Standard Chartered Bank has announced today its partnership with Microsoft in a push to make the banking platform cloud-first, thus, promoting services like “virtual banking, next-generation Payments
Payments
One of the bases of mediums of exchange in the modern world, a payment constitutes the transfer of a legal currency or equivalent from one party in exchange for goods or services to another entity. The payments industry has become a fixture of modern commerce, though the players involved and means of exchange have dramatically shifted over time.In particular, a party making a payment is referred to as a payer, with the payee reflecting the individual or entity receiving the payment. Most commonly the basis of exchange involves fiat currency or legal tender, be it in the form of cash, credit or bank transfers, debit, or checks. While typically associated with cash transfers, payments can also be made in anything of perceived value, be it stock or bartering – though this is far more limited today than it has been in the past.The Largest Players in the Payments IndustryFor most individuals, the payments industry is dominated currently by card companies such as Visa or Mastercard, which facilitate the use of credit or debit expenditures. More recently, this industry has seen the rise of Peer-to-Peer (P2P) payments services, which have gained tremendous traction in Europe, the United States, and Asia, among other continents.One of the biggest parameters for payments is timing, which looms as a crucial element for execution. By this metric, consumer demand incentivizes technology that prioritizes the fastest payment execution.This can help explain the preference for debit and credit payments overtaking check or money orders, which in previous decades were much more commonly utilized. A multi-billion-dollar industry, the payments space has seen some of the most innovation and advances in recent years as companies look to push contactless technology with faster execution times.
One of the bases of mediums of exchange in the modern world, a payment constitutes the transfer of a legal currency or equivalent from one party in exchange for goods or services to another entity. The payments industry has become a fixture of modern commerce, though the players involved and means of exchange have dramatically shifted over time.In particular, a party making a payment is referred to as a payer, with the payee reflecting the individual or entity receiving the payment. Most commonly the basis of exchange involves fiat currency or legal tender, be it in the form of cash, credit or bank transfers, debit, or checks. While typically associated with cash transfers, payments can also be made in anything of perceived value, be it stock or bartering – though this is far more limited today than it has been in the past.The Largest Players in the Payments IndustryFor most individuals, the payments industry is dominated currently by card companies such as Visa or Mastercard, which facilitate the use of credit or debit expenditures. More recently, this industry has seen the rise of Peer-to-Peer (P2P) payments services, which have gained tremendous traction in Europe, the United States, and Asia, among other continents.One of the biggest parameters for payments is timing, which looms as a crucial element for execution. By this metric, consumer demand incentivizes technology that prioritizes the fastest payment execution.This can help explain the preference for debit and credit payments overtaking check or money orders, which in previous decades were much more commonly utilized. A multi-billion-dollar industry, the payments space has seen some of the most innovation and advances in recent years as companies look to push contactless technology with faster execution times.
Read this Term, open banking and banking-as-a-service.”
The London-headquartered bank will leverage Microsoft’s Azure and is aiming to migrate its core services on the cloud by 2025. However, the timeline depends on regulatory approvals.
“Cloud is a cornerstone of Standard Chartered’s strategy to meet the present and future banking needs of our clients.[...]Using cloud services improves our ability to be agile and innovative, while increasing our operational efficiency and resilience,” Michael Gorriz, group chief information officer, said in a statement.
“As disruption in the financial industry continues, we can focus on client benefits by deploying our solutions quicker and allowing for faster integration of new business models and partners.”
The Transformation Plan Is Already in Place
The press release detailed that the bank will move its trade finance systems to Microsoft Azur that will benefit in cross-border trade for the bank’s corporate and institutional clients.
Furthermore, the bank will also use Microsoft Azure artificial intelligence and data Analytics
Analytics
Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability.
Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability.
Read this Term capabilities, thus, enhancing and automating the banking processes. This, according to the bank, will add to “hyper personalization of its client products and experiences.”
Standard Chartered is also expecting to unlock new banking services based on its open banking application programming interface (API) and internet-of-things based on real-time payments.
“Cloud computing is an enabler for financial institutions to modernize their infrastructure and systems, to gain the agility they need to respond to competitive pressures, regulatory environments and customer demand,” Bill Borden, corporate vice president of worldwide financial services at Microsoft, added.
“The speed and scale of continuous innovation offered by Azure allows us to innovate with the latest AI services to meet evolving client needs,” Bhupendra Warathe, Standard Chartered CTO of cloud transformation, said. “We can pilot new apps in one market and scale them rapidly across others. This is especially important for a bank with a footprint as broad and diverse as ours.”
