Intelligent Automation technologies have the potential to deliver significant business benefits — if implemented well. But many RPA implementations fail to deliver the returns promised. Fortunately, the causes of failure are fairly consistent, and there are steps you can take to avoid them. In this presentation, Will Tyler, Sr. RPA Developer, Change Healthcare, goes over:
- Why IA implementations fail — and why they succeed
- How to avoid implementation pitfalls through strategic planning
- How to steer your IA program/s through key challenges along the way
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Almost every month, we come across a study that talks about automation displacing human workers and causing massive job losses. That being said, the world has had concerns about automation since the first industrial revolution in the early 1900's. It’s time that we shift gears and move away from this endless analysis of ‘job loss of millions’ and ‘displacement,’ and instead focus on a more pertinent topic: that of ‘workforce skilling’ and ‘empowerment.’
Flex recently studied and addressed the social impact of automation across their sites. Here are some of their core findings from their study:
There is no such thing as sudden displacement of human labor by machines. Flex is a large manufacturing company with 200,000 employees across 100 sites in 30 countries. State-of-the-art manufacturing, particularly in electronics, requires extraordinarily lean processes and high efficiency. Therefore, automation has always been an integral part of our operations. Machines that offer better precision and speed perform small, redundant tasks. Now with advancements in robotics and IoT, we move to the next level. We are creating more software-controlled environments, that need higher human-machine interface across the entire supply chain. But this is not an overnight process. It goes beyond substitution of tasks and requires that we identify key points of human intervention, set up a collaborative interface across machines and supply chain, marry the product to legacy infrastructure, architect data collection from machines, and so on.
Understanding cross-skilling and upskilling requirements for this scenario is critical for sustained success in business. Over reliance on automation without planned, appropriate human intervention can lead to expensive mistakes (as admitted by even Tesla’s Elon Musk).
Profitability assumptions around automation without measuring social impact on HR is flawed. Automation evangelists simplify the correlation between productivity and profit; sometimes, they use the words interchangeably. Every proposal around intelligent automation includes a financial model analyzing Return On Invested Capital -- often linking massive substitution of labor with machines. The bottom line, stated by consultants, is something like “imagine the cost savings and profitability as you can replace 100 people with this product.”
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The cloud. It’s not a relatively new concept for the world, but for HR, the benefits of cloud computing are still catching on. Supporters of the technology claim it boosts performance, helps recruit the best talent, increases employee engagement, betters innovation, and organizes data. It’s also said that cloud computing has helped close the communication gap that exists between HR teams, employees, and management.
There are a plethora of technologies out there meant to help the HR professional in their daily job activities. Artificial intelligence, machine learning, and virtual reality are just a few that are on the very long list. Cloud computing is certainly among some of the top attention-grabbing technologies. So, that begs the question: what are the benefits of cloud computing in HR?
Simply read the entire article to find out six major benefits of cloud computing!
Optimizing Data in Learning: An Interview with ADT Security's Director of Learning Execution and Impact
When it comes to learning, measurement is the top priority for learning professionals. In this interview with Marshall Friday, ADT's Security Director of Learning Execution and Impact, he answers the following questions:
- What challenges are faced today in regards to optimizing data in learning?
- What are some of the creative/innovative ways you're looking addressing these challenges?
- Are you looking at feedback from employees in this space and are you using that data?
- How do you measure ROI?
- Is there one specific thing that jumps out to you that you would say it was a massive success [in regards to your work at ADT]?