Fraud Detection: In-Depth Guide [2019 update]

Fraud detection is a major challenge for merchants that accept electronic payments, acquirers that manage electronic payment networks and for banks that are exposed to various types of financial fraud including money laundering.

Which companies are impacted by financial fraud?

Banks and other companies that receive significant number of financial transactions are at risk of suffering from financial fraud. e-Commerce companies, credit card companies, electronic payment platforms, B2C fintech companies all need to employ software to limit financial fraud. Read more

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15 Fraud Detection Software: A Complete List [2019 update]

We wrote extensively about fraud detection before. If you believe that your company needs a leading edge fraud detection solution, we list the major fraud detection vendors below.

Fraud Detection Companies Ecosystem

Tech giants

Tech giants like Experian are providing end-to-end fraud detection solutions. They have the advantage of having a large sales force and long term relationship with their customers and they have significant budgets to create competent solutions

AI Startups

Since 2000s startups are tackling various aspects of fraud. The first area of focus was to serve merchants which are easy to sell to as they are smaller e-commerce businesses. Later, with increased commercialization of AI, AI vendors started selling to merchants, acquirers and banks. Read more

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Manufacturing analytics: $6T opportunity [2019 update]

There has been sustained excitement about IOT and the data capabilities it will bring to industry. In 2013, McKinsey&Company had predicted that IOT would bring $3-6T economic impact in 2025.

With margins getting smaller and competition getting more intense, manufacturing companies are getting smarter about how they can become more productive in order to become more profitable. Manufacturing analytics is one of the most effective ways to do so.

Sometimes called the 4th industrial revolution, manufacturing analytics analyze the historical performance data of machines in order to forecast their future; and their failure. And with technology and the environment to support it evolving rapidly, there has never been a better time to get started. Read more

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In-depth Guide to Predictive Maintenance Tools [2019 update]

Manufacturing has evolved. Organizations no longer need human intervention to manage every aspect of manufacturing. Today, an increasing volume of industrial activities are supported by robots, artificial intelligence (AI) and other modern technologies that enable organizations to get the most from every efforts.

With this growth and change, comes an evolution in the tools that are designed to support it. Some of the biggest changes have been seen our methods for keeping our different components functioning, and functioning well, for longer periods of time. Read more

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Predictive Maintenance: In-depth Guide [2019 update]

Are you working for an industrial company that is discarding most of its data? Are you wondering whether that data is valuable? We can help you decide.

Advanced equipment such as Internet of things (IOT) and Industrial Internet of things (IIOT) and robots are generating more data than ever before. However factories’ analytics capabilities have not caught up to this.¬†According to Fero Labs ¬†manufacturing companies discard 98% of all the data they can collect because they do not have the operational analytics capabilities to integrate that data in their operations. Read more

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