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AI Leads to Powerful New Fraud Detection Software for E-commerce

Smart Data Collective

AI-driven fraud scoring algorithms can be crucial for stopping cybercrime. The rise of e-commerce fraud and account takeover fraud are notable examples of these threats that have gained prominence lately. This piece delves into how such software plays a pivotal role in tackling e-commerce fraud and account takeover incidents.

Commerce 264
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Benefits of AI-Driven Mobile App Development in E-Commerce

Smart Data Collective

AI has been invaluable for e-commerce brands. AI can be especially important for e-commerce companies trying to create apps to help them compete in an increasingly saturated market. Keep reading to learn more. AI also helps e-commerce brands be more productive.

Commerce 247
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What a quarter century of digital transformation at PayPal looks like

CIO

For the 35 million merchants who trust PayPal as a means of payment in their businesses, it’s vital the service is high quality, reliable and always available. We’ve been working on this for over a decade, including transformer-based deep learning,” says Shivananda. Stability is another objective. It’s like PayPal’s nervous system.”

Commerce 779
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Explainer: Building a high-performing last-mile delivery software

CIO

The ongoing circumstances following up to the times ahead will only increase the workload for CIOs and data analysts in this line of business. Therefore, businesses must adhere to advanced tools that can accommodate the growing influx of data. In some business cases, the allocation is also determined by customer preferences.

Commerce 633
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Machine Learning Automates Online Store Development for Ecommerce Startups

Smart Data Collective

The e-commerce industry has always been one of the main frontiers for new technological advances. Machine learning is among the biggest disruptive technologies to ever impact the field of online commerce. The biggest benefit is that machine learning can help make it easier to design new online stores. In 2019, over 1.9

Startups 237
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Is Machine Learning Changing Our Approach to Asset Management?

Smart Data Collective

It is not meant to replace people and threaten their livelihood, but to strengthen the connection between businesses and their customers. Machine learning (ML) is a form of AI that is becoming more widely used in the market because of the rising number of AI vendors in the banking industry. Why Machine Learning? Data Analysis.

Learning 358
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Building a vision for real-time artificial intelligence

CIO

Real-time AI brings together streaming data and machine learning algorithms to make fast and automated decisions; examples include recommendations, fraud detection, security monitoring, and chatbots. A whole lot has to happen behind the scenes to succeed and get tangible business results. It isn’t easy.