Synthetic Monitoring: Start proactive app monitoring in 2020

Businesses want to ensure that their digital assets are always available and responsive. Synthetic monitoring is a technique to understand the performance of most critical business transactions and common paths in applications. With this method, businesses can foresee availability and performance issues in their digital systems and take action accordingly.

What is Synthetic Monitoring?

Synthetic monitoring (also known as directed monitoring) is a technique for tracking business application performance by simulating a path through the application. To do that, a route with different checkpoints is predefined. While the “synthetic” user goes through, these checkpoints provide performance metrics to ensure application availability. Wikipedia defines synthetic monitoring as follows: Read more


Explainable AI (XAI) in 2020: Guide to enterprise-ready AI

According to PwC’s report on XAI, AI has a $15.7 trillion of opportunity by 2030. However, as AI tools become more advanced, more computations are done in a “black box” that humans can hardly comprehend. This lack of explainability is unable to satisfy the need for transparency, trust, and a good understanding of expected business outcomes. Explainability is key to enterprise adoption of AI because people don’t easily trust a machine’s recommendations that they don’t thoroughly understand. Read more


AP Automation: The first finance process to automate in 2020

Thanks to machine learning and the document data extraction, validation and processing technologies it enables, ~80% no touch AP automation is possible for invoices submitted outside of the company’s Electronic Data Interchange (EDI). Additionally, companies should push foe EDI adoption to further increase no touch automation rate.

By adopting these technologies, companies can dramatically reduce manual document processing. Therefore they can reduce costs and errors while increasing compliance and employee satisfaction. According to our interviews with project managers from the Big 4 and solution providers in the space, an average Fortune 500 processes a few millions of documents manually per year and adopting the latest automation technologies can result in savings of hundreds of millions of dollars per year. Read more


Data Extraction in 2020: In-depth guide for business users

The dramatic increase in the volume of unstructured and semi structured data has made data extraction vital. This is because structured data can be processed and analyzed more accurately than other types of data since it is machine-readable.

Automated data extraction software helps companies to automatically pull data from various sources. Automated data extraction enables businesses to save time & costs, reduce manual errors, improve their decision-making processes and save employees from mind-numbing repetitive work. Read more


AI in Automation: Which tasks can we automate in 2020?

The advances in AI since the rise of deep learning can usher a new age of automation as machines go beyond human capabilities in a wide range of tasks.

The jobs that can be mostly automated include

  • predictable physical labor
  • white-collar back-office work: data collection and processing

Machines can now perform the activities involved in these jobs better/cheaper than humans. These activities include tasks that involve manipulating tools, extracting data from documents and other semi-structured data sources, making tacit judgments and even sensing emotions. In the next decade, driving is likely to become automated as well, enabling one of the most common professions to be automated. Read more