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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. Blockchain technology, AI, IoT, and cloud computing are leading examples driving the disruptive movement.

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Travel Analytics: Data Sources, Use Cases, and Real-Life Examples

Altexsoft

In the continuously changing travel industry, data-driven insights are revolutionizing decision-making processes. Beyond its fundamental role in elevating customer experience, travel analytics has a valuable impact on revenue growth and cultivating a competitive edge. Travel data: external and internal sources.

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AI in Short-Term Rentals: How Machine Learning Shapes STR

Altexsoft

The short-term rentals (STR) market has been expanding rapidly in recent years, with popular vacation rental platforms like Airbnb, Booking.com, and VRBO transforming how people travel and lodge. This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making.

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10 Key Trends of Digital Transformation in Healthcare in 2022

OTS Solutions

Clinics that use cutting-edge technology will continue to thrive as intelligent systems evolve. At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. The intelligence generated via Machine Learning. IoMT and wearable technology.

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Insurance Technologies: 13 Disruptive Ideas to Change Insurance Companies with Telematics, Blockchain, Machine Learning, and APIs

Altexsoft

The total, nevertheless, is still quite low with legacy system complexity only slowing innovation. Mike de Waal, president and founder of Global IQX , says: “Modernization of core legacy systems, new insurance exchanges and changing business models (platform and peer-to-peer) defined the year. million in the first year of AI use.

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Data Collection for Machine Learning: Steps, Methods, and Best Practices

Altexsoft

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. What is data collection?

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Here are all 20 companies from Alchemist Accelerator’s latest Demo Day

TechCrunch

Below, a quick list of the companies presenting — plus a snippet on what they’re doing as I understand it: eCommerceInsights.AI: Uses AI to scan reviews about your brand/products, find the common threads and turn them into “actionable insights.” It’ll be all virtual, so you can tune in to that on YouTube right here.

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