“We aim to make global payments simpler and more accessible through Web3 infrastructure, while eliminating the cost and compliance-related complexities. With the help of MassPay, we can also provide Fortress clients with an even wider range of payment options, allowing them to focus on building their business rather than worrying about financial logistics”,

said Scott Purcell, CEO and Founder of Fortress.

Managing global payments has previously been a complex and time-consuming task for organizations. The unified Know Your Business (KYB) process and single API enable seamless execution of both traditional financial transactions and new Web3 transactions.

“Together, MassPay’s Global Payout Orchestration Platform and Fortress’s Web3 financial, regulatory, & technology infrastructure eliminate the need for companies to piece together multiple technologies and to navigate the challenges of of making payouts to contractors and creators globally,”

said Jeff Katz, CEO and Founder of MassPay.

“When a company can payout whenever, wherever and however their payees need, it expands the potential for the type of partnerships they can develop with all members of their community”,

he continued.

Fortress and MassPay now allow companies to:
– Issue local bank transfers, mobile web3 wallets, push-to-debit cards, push-to-prepaid cards, cryptocurrency and cash payments through combined capabilities;
– Make payments for millions of individuals in more than 240 markets and in over 50 currencies with a single KYB process;
– Create digital wallets and access traditional financial transaction processes for payees through a single API;
– Use built-in compliance tools to monitor transactions, IDV and wallet verification.

The new platform, Chainlink Functions enables the execution of custom computations on top of Web 2.0 APIs within minutes through its network.

“Our goal is to enable developers to combine the best of web3 smart contracts with the power of Web 2.0 APIs,”

El Moujahid said

Chainlink connects data in the chain to external systems to enable smart contracts to execute transactions based on real inputs and outputs. According to the platform’s website, it has enabled more than $7 trillion worth of transactions since mid-February.

Chainlink Functions hopes to be the bridge between the two parties to create mass adoption.

“Web3 is not going to be a binary thing. I’ve seen this in AI. The path to mass adoption was making it easy to embed AI into your apps. It’s the same with web3. You don’t have to build your entire app on-chain. It’s going to be a spectrum: part smart contract; part Web 2.0 APIs.”

El Moujahid said.

The new platform also supports more widespread programming languages such as JavaScript so that developers unfamiliar with Web3 can get into the field. It will also provide integration with Amazon Web Services (AWS), Meta, and others.

With Meta for example, web3 developers can connect social media activities and small e-commerce businesses with a smart contract using Chainlink Functions and automatically trigger actions on-chain based on off-chain activities.

The platform’s serverless nature also means developers can stop worrying “about the overhead of managing and securing the infrastructure on which their code will run,”

El Moujahid said.

El Mujahid also shares that the platform is currently in private beta mode on Ethereum and Polygon’s test networks. Additionally, Chainlink plans to expand its functionality to more blockchains, add new integrations and tools, and launch on the main network as soon as possible.

Simple ML was developed by the same Google teams that created TensorFlow, a popular open source AI tool that was released in 2015.

Simple ML aims to help scientists, students, small business owners, business analysts, people working in large corporations and anyone who can work with Google Sheets make valuable predictions automatically.

All required of the users is to open the data in Google Sheets and select and execute the task that best describes what we want to achieve, for example, predicting missing values or detecting unusual values. For those of you who are new to machine learning, be aware that these are just statistical predictions and may be incorrect.

Simple ML detects anomalies in data by generating 10 AI models that automatically assess the accuracy of information in a spreadsheet. Simple ML can also be used to identify anomalous data points. And has the ability to analyze data that is stored in Google’s BigQuery, a cloud data warehouse through Google Sheets.

Another advantage is that the models are automatically saved to Google Drive and you can easily share them with the rest of your team. Simple ML is built on top of TensorFlow Decision Forests and this allows you to export Simple ML models into the TensorFlow ecosystem.