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The Next Wave of Digital Transformation: What Leaders Need to Know

N2Growth Blog

Key technologies in this digital landscape include artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), blockchain, and augmented and virtual reality (AR/VR), among others. They streamline business operations, process big data to derive valuable insights, and automate tasks previously managed by humans.

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The Internet of Things: Development and Examples

Apiumhub

Proliferation of Devices The real growth of IoT began in the 21st century, driven by several key factors: the miniaturization of sensors, the availability of low-power communication technologies (like Wi-Fi and Bluetooth), and the decreasing cost of hardware components. Data Explosion One of the central aspects of IoT is data.

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8 Czech VCs on green shoots, pandemic impacts and 2021 opportunities

TechCrunch

Saturated areas included cryptocurrency, blockchain, fintech and martech. The people we spoke to said they see travel, dating apps and other businesses traditionally based on physical interaction as weaker segments. Social media, logistics, travel. Travel and gastro. Luckily the impact is not big. More than 50%?

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How Have Mobile And Digital Apps Changed The Financial Services Industry?

OTS Solutions

Better security: Cybercrimes are, without a doubt, a big problem, but banks can make sure they are safe by using mobile app development. A mobile app for financial services is safer than online banking because it has more hardware security options. Biometric authentication is one of the best things about mobile devices.

Mobile 195
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5 Ways AI Will Transform the Logistics Industry

Altexsoft

As the world’s logistical requirements continue to become even more complex, big-data driven applications have already stepped in to streamline logistics on a global scale. It has advanced the travel and hospitality industries – but that’s just the tip of the iceberg. This is possible because of the way blockchain works.

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How to build analytic products in an age when data privacy has become critical

O'Reilly Media - Data

The growing number of connected devices enabled to collect data means our most sensitive data —see this article on smart homes —are being gathered and monetized. Concerns about the use of data privacy cuts across cultures. It is true that regulators across the world are approaching data privacy in different ways.

Analytics 131
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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.