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Learn and Understand the Intersection of Python, AI, and Blockchain

InnovationM

In recent years, three technologies have dominated the tech landscape: Python, Artificial Intelligence (AI), and Blockchain. This blog explores the intersection of Python, AI, and Blockchain, highlighting how they complement each other and the opportunities they create for developers and businesses. Why Python, AI, and Blockchain?

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Future Trends: Innovations in Mobile Technology for Accounts Payable Automation 

Cherry Work

Artificial Intelligence and Machine Learning Artifical intelligence(AI) and machine learning (ML) are at the fore front of innovations in mobile technology. Additionally, mobile payment solutions often come with enhanced security features, such as biometric authentication, ensuring secure transactions.

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Piramal CTO Saurabh Mittal on financial services innovation

CIO

To develop these products, we will heavily use data, artificial intelligence, and machine learning. Blockchain holds promise for financial service companies as it can lead to cheaper and faster transactions, enhanced security, and automated contracts. Mittal: We don’t have active investments in blockchain yet.

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LG announces the first 50 participants in its LG Nova program

TechCrunch

Snickerdoodle Labs – Uses blockchain to build agnostic data-sharing layer that enables individuals to control and even monetize their personal data through a tokenized data architecture. swIDch – Provides secure, next-generation authentication for every digital identity environment, even off-the-network. I-EMS Group, Ltd.

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Innovations Transforming the Middle East Payments Landscape

Xebia

The UAE’s "mBridge" project is a prominent initiative that seeks to create a multi-currency, blockchain-based cross-border payment system, potentially transforming the region’s financial infrastructure. CBDCs aim to enhance cross-border payments by reducing the reliance on traditional banking systems, which can be slow and costly.

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10 emerging innovations that could redefine IT

CIO

Once wild and seemingly impossible notions such as large language models, machine learning, and natural language processing have gone from the labs to the front lines. Does that machine learning algorithm really need to study one terabyte of historical data or could it get the same results with several hundred gigabytes.

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AI’s Opaque Box Is Actually a Supply Chain

O'Reilly Media - Ideas

Combined with continuous machine learning cycles and deployments, reviews, and recalls, there are a lot of opportunities to bring transparency to the opaque box. Blockchain technology is used in an enterprise stack alongside other systems, to make integrations more secure and to establish a single audit trail.