Many organizations today recognize the need and urgency to implement Robotic Process Automation (RPA) technology within their repetitive processes. However, these organizations, especially those less tech-savvy, may find themselves at a standstill and unable to get their RPA journey up and running.
Contrary to popular belief, businesses just starting out don’t need to have software automation experience to begin their journey, and they have the capabilities to start a program from scratch by following a set of phase-related guidelines. …
As an organization, trying to assess the quality of the digital tools offered to your employees can be overwhelming. A good business-to-employee (B2E) software selection strategy is needed in order to cover all the scenarios of what an organization needs to onboard, train and empower employees. These tools allow employees to effectively and efficiently collaborate, and communicate through a unified and virtual workspace.
Most companies typically approach their B2E efforts in the same way — with a strong dependency on a COTS (commercial, off-the-shelf) software. Communication tools like Skype, Microsoft Teams, or Slack are a few examples of this. Though…
In a previous blog post, we introduced the popular concept of hyperautomation — a term used to describe next level automation achieved through combining Robotic Process Automation, Artificial Intelligence and Machine Learning capabilities. Now that we’ve established a hyperautomation base, it’s time to go further by breaking down the components of a digital operations toolbox, what technologies are encompassed it in, and how they impact your hyperautomation journey.
In the realm of hyperautomation, a digital operations toolbox serves as an evolutionary shift — moving task-based technologies, tools and functions like process mining, RPA and document ingestion into digital operation drivers.
The Houston User Group meeting offered our team a chance to demonstrate the out-of-the-box capabilities of Salesforce and Robotic Process Automation, our expertise in these platforms, and the benefits of combining these two technologies. We showcased these benefits through two use cases — scraping LinkedIn to leads in Salesforce and exporting Salesforce reports with RPA.
Since there aren’t many guiding resources on Azure Data Factory version 2, I wanted to share some “bigger-picture” notions about how to approach orchestration and data pipelines from a more architectural perspective. Let me preface this by mentioning that ADF version 2 differs from version 1 in its features, which is why I direct the below content to heavily appeal to version 2.
When you have a negative experience at a consumer location, what is one of the first thoughts that crosses your mind? For many, it’s to leave a negative review about that location detailing your experience. This doesn’t only serve to vent frustration, but as an attempt to be heard in hopes that others will avoid the same experience. However, if a problem persists, more negative reviews will flow in, which can result in:
Robotic process automation (RPA) relies on the scaled intelligence of AI to learn new skills, such as visual understanding, process discovery and natural language processing (NLP). On the other hand, AI needs RPA to act as the delivery mechanism to solve real world business problems. It’s the combination of both of these technologies and their capabilities that encompass AI Fabric.
AI Fabric, the brain-child of UiPath, is an end-to-end intelligent skill creation and deployment tool for businesses looking to automate processes with minimal effort. AI Fabric connects seamlessly with UiPath studio and Orchestrator to create a unified experience within all…
Microsoft Power Automate is a tool that helps users create workflows between desired applications to synchronize files, get notifications, and collect data. This intelligent cloud-based solution uses triggers and actions to create chain reactions within a workflow so that repetitive, manual and time consuming tasks are accomplished without human intervention.
Microsoft Power Automate boosts user productivity, allowing them to quickly and securely automate tasks and put intelligent workflows to use with minimal effort. Using pre-built connectors, users can build time-saving workflows that can do anything from individual tasks to large-scale systems with seamless integrations.
These secure workflows also include cloud-based…
The Inventory Management system in JD Edwards is the platform basis of the supply chain, enabling users to manipulate inventory by defining discrete items. Within this system, multiple Item Masters are present that contain various branch plats and records, which are updated on a regular basis as bulk quantities. When it’s time to record new items, or the information needs to be replaced for multiple branch plants, many problems could arise.
If you’ve conducted a manual Item Master load before, here are some popular issues you may have faced:
As consultants, the team and I are always mindful of various considerations pertaining to custom application user engagement — business requirements, statements of work, satisfying use-cases, being wary of edge cases, and the like. However, when everything is said and done, you likely won’t truly know how end-users are expecting the app to behave, or if they’ll even make proper use of it, until you put the app in their hands and observe.
In this observation, you might encounter various behaviors — the nods of approval, the smiles and laughs, or (as is often the case) the looks of frustration…