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Vaclav Vincalek Vaclav Vincalek

Forbes. Security measures to keep digital payments safe

Digital payments have become a popular choice for consumers, offering convenience, speed, and ease. But they also come with the risk of data breaches and security threats.

Forbes recently covered a story on safety and security when it comes to digital payments. The publication reached out to Forbes Technology Council members to get their thoughts on how to best keep your data safe when paying via connected payment options.

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Original Content Vaclav Vincalek Original Content Vaclav Vincalek

Forbes. Cloud computing isn’t holding back your business – you are

What I heard from business owners during Covid was that the pandemic was impacting their operations. It's understandable, especially for industries like airlines and hotels that rely on in-person customer interactions. But it's important to remember that while the pandemic has thrown us a curveball, it's not the only factor in play. The ability to adapt and innovate also plays a significant role in a company's success or failure.

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Vaclav Vincalek Vaclav Vincalek

Forbes. Ways to leverage machine learning to boost your small business

Machine learning (ML) is quickly becoming a mainstay in the enterprise world, but entrepreneurs and small-business owners often hesitate to invest in it partly because they think it’s too complex. But there are ways small business owners can begin to leverage ML without pouring in large sums of money.

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Vaclav Vincalek Vaclav Vincalek

SaportaReport. How COVID research could make quantum computing more accessible

COVID-19's challenges highlighted the incredible potential of quantum computing. Faced with the virus, scientists have leaned into quantum tech to crunch data and simulate complex viral proteins swiftly. This shared mission didn't just advance our understanding of the virus but also propelled quantum computing towards more practical, user-friendly applications.

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Vaclav Vincalek Vaclav Vincalek

Expertise Ventures. How to unlock value from unstructured data.

Data is essential for deep tech startups, but it’s fraught with potential pitfalls. Compromised data, whether through corruption, errors, irrelevance, or incompleteness, can derail the accurate analysis and model development crucial to these companies.

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