The Future is FinTech
The Future is FinTech


FinTech, a combination of the words “financial” and “technology,” is a relatively new and is a very broad sector. Most people hear FinTech and only think about the latest mobile app which can help them pay for their breakfast, lunch or dinner without ever swiping a card or touching currency. But technology has always played a key role in the financial sector in ways that most people take for granted and might not ever see. In examining our timeline @ Accion of Fintech developments, the last few years paints a picture of continued innovation and evolution.

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Jennifer Wellsblog, Relton Alexander, FinTech
Ethical Hacking is "Hacking to Help"
Ethical Hacking is "Hacking to Help"

Our CTO, Ashutosh Bijoor, says “when the system is designed, security has to be in the very foundation of its architecture”. I agree with him. In today's digital world of cryptocurrency, plastic money and digital wealth, where almost everything is on the cloud/internet and skilled hackers can hack from virtually any part of the world. Hacking generally refers to unauthorized intrusion into a computer or a network. Cyber-security ventures predict that hacking or cyber-crime will cost the world $6 trillion annually by 2021. 

Power can used for good or bad purposes, it depends on one’s ethics, how he/she wants to use the tools and powers given to them.

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Jennifer WellsAseem Jain, Ethical Hacking
Re-engineering with Artificial Intelligence
Re-engineering with Artificial Intelligence

Kinesh, our CEO often makes this statement - "If you are not incorporating AI into your organization, you are already too late". If you are one of these latecomers - you're not the only one. If you were one of the early adopters of AI, you know that it was not a cake walk. The hype and excitement of AI is the the tip of the iceberg when it comes to effort required to incorporate AI in your organization. One the one hand, AI surely promises to revolutionize business models in all fields of human activity. On the other hand, the underlying systems that provide the rich data that AI needs, are still languishing from legacy technology and a huge backlog of re-engineering.

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Ashutosh BijoorAshutosh Bijoor, Artificial Intelligence