Latest opinions that Yaroslav Kuflinski has shared on Finextra

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Yaroslav Kuflinski

AI/ML Observer

Iflexion

Member since

17 Apr 2020

Location

Denver

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Yaroslav's opinions

How to maintain online payment security in your B2B portal

The modern business-to-business merchants are actively embracing online retail to step up their game. Relying on B2B portal development, they build solutions that bring together business customers from around the globe, supporting a convenient and personalized purchasing experience. On the downside, the shift to ecommerce aggravated the issue with ...

20 December 2020 /security /payments Digital Sales

How Is IPA Transforming Banking?

Conventionally, banks and other financial institutions start their automation journeys with robotic process automation. While certainly beneficial, RPA has proven to be limited in its automation capacity. Essentially, RPA is only applicable to tasks that don’t require any cognitive input. Intelligent process automation, on the other hand, is capa...

11 December 2020 /payments /regulation Artificial Intelligence and Financial Services

4 steps to a successful data-driven cultural shift

Lavish amounts of data, competitors’ pressure and immense opportunities of data-driven business applications made companies heavily invest in data science initiatives. With many reputable software vendors and data science experts on the market, the transformation shouldn’t be that difficult, right? Unfortunately for many ambitious business leader...

16 November 2020 /people /startups Business Knowledge for IT

Is Your Data Ready for AI?

We’ve already figured out that AI has an immense potential to enhance business processes of many kinds in almost any industry imaginable. AI is poised to redefine conventional business models, enhance productivity, and drive value overall. When deploying it, companies tend to stick to a traditional scenario: first, outline an elaborate strategy, t...

29 October 2020 /devops /startups Business Knowledge for IT

Facial Recognition for Business: Applications and Adoption Pitfalls

Each time you recognize someone’s face, you’re using an internal form of facial recognition. In a matter of milliseconds, your mind breaks down the parts of their face, puts them back together, and matches the sum with those faces already stored in your memory. When the process works seamlessly, you don’t even realize it’s happening. While you may...

19 October 2020 /security /devops Business Knowledge for IT

How machine learning helps with combating financial fraud

Fraud is an ever-lasting problem for banks and other financial institutions, which only continues to persist. As we are moving toward ubiquitous digitalization, criminals are discovering new weak spots in financial digital applications. Paradoxically, the technology works both ways: it helps firms to provide better customer experience and optimize ...

17 April 2020 /security /crime

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