Organizations around the world rely on the quality of their data to make decisions, implement programs, develop products, and so much more. And yet, spreadsheets and the human errors associated with them are so common, costly, and even deadly that there is an organization, the European Spreadsheet Risks Interest Group, that tracks and studies data-entry and spreadsheet mistakes. They meet every year to discuss the issues and risks the combination of people and spreadsheets pose for organizations.

A growing number of organizations are turning to data entry services to complete these vital tasks and ensure they are done with high…


Data entry mistakes can be costly. To be exact, they can cost $6.2 billion. That’s what it cost J.P. Morgan & Chase Co. in 2012 in an incident known as one of the most costly data entry mistakes in U.S. history.

In a subsequent report, the financial services firm cited failures that contributed to the loss. Among them: the firm’s risk-modeling system, which required workers to cut and paste data in a spreadsheet. Workers inadvertently used the sum of two numbers, instead of the average, to calculate market volatility.

As a result, the system’s formula underestimated risk by half, and…


Automation and AI can be applied to innovate products, automate processes, and improve customer experiences, often by making predictions. Those predictions can produce tremendous value for the business but predicting the future is inherently difficult.

The components of the automation tasks may be doing something relatively straightforward, such as using OCR (optical character recognition) for transcription into a database. Or, they may be more complex, like using chatbots and your model’s predictions to route customer inquiries in real-time.

Even the most well-executed automation and AI can get confused by exceptions, edge cases, and unusual data, and when that happens, a…


Technology is changing how legal work gets done. Artificial intelligence is being used to perform legal research, document review, and even jury selection. Emerging technology is one of the top five trends that will shape legal practices this year, according to American Legal Magazine. Author and attorney Sally Kane predicts that firms investing in technology this year to increase efficiency, reduce costs, and mitigate risk will be ahead of the game.

There’s a big and crucial first step in this process: to apply technology in these ways requires clean, structured data in digital form. Many law firms routinely deal with…


The accuracy and maintenance of your data is critical to the development of your business. As companies across every industry embark on their digital transformation journeys, it’s normal to run into issues with scale and quality. After all, the amount of data being generated is massive, with every person in the world generating an average of 1.7 megabytes every one second.

When should you outsource data entry?

Data entry should not weigh down your core business operations. It should not burden employees either, whose time may be better spent on other tasks, and it’s not often economical to hire a dedicated in-house team to manage data…


Early in developing a machine learning project, it is tempting to focus primarily on building the model. Faith is placed in the notion that if the model is accurate, the other details will fall into place. This neglects the most crucial fact of all — the model is created to be used in the real world. The return on your AI investment can only be achieved when people use your model.

A focus on the ultimate users of the model is essential in traditional industries where their adoption of machine learning must live with existing and established processes. …


At CloudFactory we have a pretty intimate seat at the table with well over 100 active tech teams applying AI to a myriad of different use cases and industries. Our clients come in all sizes and from all industries, from small startups to those listed on the Fortune 500, and they work on solutions from cashierless checkout to self-driving cars.

With all the AI hype, it sometimes feels like a gold rush, which would make CloudFactory’s workforce solutions the picks and shovels. …


We are proud to announce that CloudFactory has been awarded the ISO 9001:2015 standard in Quality Management System, demonstrating strong customer focus, backed by senior leadership with a commitment to continual improvement. This internationally recognized standard ensures that our services meet the needs of our clients through an effective quality management system.

The ISO 9001:2015 certificate was the result of months of independent process review and verification of CloudFactory’s business practices and speaks to our ability to:

  • Consistently provide products and services that meet customer and applicable statutory and regulatory requirements,
  • Facilitate opportunities to enhance customer satisfaction, and
  • Demonstrate conformity…


The success of any AI proof of concept depends on the completeness of the data sets used to train the model and how well that data has been prepared. These factors are in turn governed by things like workflow alignment, communication, data throughput, and accuracy. If you outsource the data labeling to a service provider, clear communication and quality control (QC) are vital.

In their recent Hype Cycle for AI, Gartner recommends to “ensure the provider you choose has methods to test their pool of knowledge workers for domain expertise and measures around accuracy and quality.”

In part one of…


The importance of people in AI development cannot be understated. The humans in the loop are necessary to create machine learning models, and they can be involved in everything from data labeling to automation exception processing. When you strategically apply people, process, and technology, you can create higher performing AI systems.

Managing data labeling in-house is challenging so many innovators outsource the work. However, you must choose wisely when selecting your workforce.

In a recent Hype Cycle for AI, Gartner recommends you “ensure the provider you choose has methods to test their pool of knowledge workers for domain expertise and…

CloudFactory

Global leader in workforce solutions for machine learning and business process optimization — www.cloudfactory.com

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