The path to Artificial Intelligence told from an Automation perspective.

#bpm | Business Process Management
– Know the process and get the business aligned with these methods

#RPA | Robotic Process Automation
– Take those known processes and automate them to provide time/hours back in the form of time savings and employee satisfaction.

#digital | Digitization
– The conversion of analog or physical information to a digital format. – Carl B. March, PE, CRE, CMRP, CSA

#digitaladoption | Digitalization
– The use of digital technologies and digitally-enabled approaches to enable or improve business models and processes. – Carl B. March, PE, CRE, CMRP, CSA

#ibp | Intelligent Business Process Management
– The cumulation of business process management and digital process automation. This is where process, service, and efficiency start to come together all based on business culture and adoption.

#intelligententerprise | Intelligent Automation
– Utilizing platform orchestration, along with the digital business processes, to enable automation at scale. Able to take on the more complex processes, and allows for discovery within the business. Start to define basic AI and ML solutions around OCR, NLP, along with better API integration. At this stage businesses or more capable of deploying low-code solutions.

#digitalacceleration | Digital Transformation
– The coordinated digitalization change efforts at scale, diffused through the operating model and all aspects of the business including ‘people’, ‘process’, ‘technology’ and ‘metrics’. – Carl B. March, PE, CRE, CMRP, CSA

#hyperscale | Hyper Automation
– Hype automation is a business-driven, disciplined approach that organizations use to rapidly identify, vet, and automate as many business and IT processes as possible. – Gartner

– Although I do think companies can and will find hyper-automation. I think it is still an always-moving target that requires the many previously mentioned methods and established processes to get to this point. I look at hyper-automation as ‘hyper-scale’ can you achieve hyper-scale, yes. Can you maintain hyper-scale? not all the time but it’s a target, not an endgame. No one automatically wins if you achieve this. It becomes a maintainable innovative mindset.

#machinetranslation | Machine Learning
– Computational learning/understanding is the basis for machine learning. The analytical analysis of data that is needed, needs to be defined. Furthermore, ML will be used to take the already digitalized data and data repositories that are maintained via automation, iBPM, and digitization to identify patterns in the data. These patterns can be analyzed and turned into training data that in turn is used to provide the baseline for artificial intelligence. 

Notice: The views expressed above are my own.

#digitaltransformation #automation #ml #technology #nlp #management #culture #mindset #change #people #businessmodels #rpa #roboticprocessautomation #mindsetchange #ai