Using automation and artificial intelligence to improve productivity

Contributed Article
May 4, 2020 9:00 am
Anas A Abdul-Haiy, Director and Deputy CEO, Proven Consult.

The artificial intelligence evolution of automation is powered by the latest development in machine learning and data analytics. Artificial intelligence and machine learning are dependent on data integrity. The success of artificial intelligence depends on the quality of data to build models and provide accurate learning and results. 

Obtaining data sets that are sufficiently large and comprehensive enough to be used for training is a huge challenge, for example, obtaining enough clinical trial data to predict healthcare treatment outcomes. While this data exists but not necessarily in digital format, it makes it extremely tough to cleanse the data for use.

Proven Consult uses automation solutions that are customised to deliver results for client’s challenges. Automating the procurement process and the application of artificial intelligence-based analytics, Proven Consult have pinpointed the bottlenecks in the current process and engineered improvements. 

When combined with artificial intelligence, automation processes are enabled to grow with the companies’ needs, giving longevity to solutions. With the addition of machine learning over past and current data Proven Consult have analysed trends and recommend future actions.

Proven Consult has built advanced procurement bots that help review contracts and compare them against best-in-class templates to flag terms and conditions that are nonstandard, as well as help procurement resources address a large set of contracts that are tactical or nonstrategic in nature. 

Proven Consult uses machine learning algorithms and artificial intelligence combined with OCR to extract data from scanned images which have resolution lower than 300 dpi. Proven Consult have used cognitive capabilities for an RPA bot to read and respond to unstructured text on chatbots.

There is increasing usage of automation and artificial intelligence in healthcare. In particular, patient monitoring, where patients use IoT powered wearables, which are connected through wireless devices to the monitoring platform. Data is transmitted through a mobile device to a secure cloud that the care provider can log into at any time. 

If any of the vital parameters cross default or user-defined limits an alert is triggered to the care givers, or an ambulance if necessary. These devices are capable of screening for key parameters like pulse rate, oxygen saturation, respiratory rate, skin temperature, NIBP, blood sugar weight and BMI.

The client processes substantial volumes of cash, ACH and credit card transactions across multiple locations every day and the management team need to interpret these transactions in order to deliver real-time analysis of the organisation’s financial performance.

Proven Consult implemented RPA bots to automate the existing processes, replacing manual spreadsheet-driven processes and automate account reconciliations, journal entries, transaction matching, task management and variance analysis.

Realised benefits were increase in the volume of transactions by 1 million+ per year, saved 5,000+ human hours per year and saved the organisation 1 million+ AED per year.

Key takeaways

  • Data is transmitted through a mobile device to a secure cloud that the care provider can log into at any time.
  • Obtaining data sets that are sufficiently large and comprehensive enough to be used for training is a huge challenge.
  • RPA bots can automate existing processes, replacing manual spreadsheet-driven processes and automating account reconciliations.

By Anas A Abdul-Haiy, Director and Deputy CEO, Proven Consult.

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