by A Side Of Data
A podcast about unconventional data science. Covering Data Science, AI, Data Visualizations, Process mining, BPM, and more. Sometimes also putting data aside to see beyond. A new episode is released every third week on Sunday. I am looking forward to your comments and future episode suggestions on email or twitter.
Language
🇺🇲
Publishing Since
6/9/2019
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
May 3, 2020
In this episode of A Side Of Data, I interview Bernd Ruecker, a co-founder and chief technologist at Camunda - workflow and decision automation platform. We talk about workflow automation, workflow engines, business process modeling notation (BPMN), robotic process automation (RPA). The episode timeline: 2:00 what are the workflows and what is workflow automation? 4:00 the difference between workflow, process, and routine? 6:00 what are the workflow engines? 8:00 Historical overview of workflow engines and BPMS. 12:00 why using BPMN? What is a good visual representation of the workflow/process 17:00 competition of the BPMN? Powerpoint? Event-driven process chain? 19:00 Process mining tools (DFGs, process maps vs BPMN) 22:00 workflow use case, on the granularity of BPMN model design 26:00 business process use cases vs software engineering use case for the workflow engines 28:40 RPA (robotic process automation) vs workflow automation 35:00 Future of workflow engines 39:00 How to see that your company needs workflow engines? 42:00 As a student, would you study workflow engines? 43:30 How to get started? Additional info: Bernd's page: https://berndruecker.io/ Bernd's blog: https://blog.bernd-ruecker.com/ Camunda: https://camunda.com/ Find A SIDE OF DATA on twitter: https://twitter.com/ASideOFData And on the web: asideofdata.com SEND us an email with suggestions: asideofdata@protonmail.com Listen to more A Side Of Data: Building a process mining startup with Raffaele Conforti: https://soundcloud.com/asideofdata/building-a-process-mining-startup-with-raffaele-conforti New decade for process mining with Wil van der Aalst: https://soundcloud.com/asideofdata/new-decade-for-process-mining-with-wil-van-der-aalst
April 12, 2020
In this episode of A Side Of Data, I interview Sebastiaan van Zelst about his experience of building a pm4py python library for process mining. The show timeline: 1:30 How did pm4py start? The reasons behind 5:30 Why do you need a new library? Why python? 8:00 How big is the library now? What is the current progress 12:00 Categorizing and comparing process mining tools: programming libraries, strand-alone academic, commercial (Apromore, Prom, pm4py, Celonis, Fluxicon Disco, Minit, Process Gold, etc.) 17:30 Problems with commercial tools 20:30 How challenging was to build the pm4py. How easy is it to use the library with the coding workflow on python. 25:40 Projects built on top of the pm4py 29:00 What is available in the library now 32:00 How to start with pm4py and with process mining 34:20 About the PM4Knime project. 37:00 extra: What is the interactive process discovery, how pm4py supports it. Additional info: The library: http://pm4py.org The paper on incremental discovery: https://sebastiaanvanzelst.com/wp-content/uploads/2020/03/Incremental_Discovery_of_Hierarchical_Process_Models__RCIS_1.pdf Interviewee page: https://sebastiaanvanzelst.com/?page_id=62 Mentioned telegram bot: https://github.com/delas/pmbot Find A SIDE OF DATA on twitter: https://twitter.com/ASideOFData And on the web: asideofdata.com SEND us an email with suggestions: asideofdata@protonmail.com Listen to more A Side Of Data: Building a process mining startup with Raffaele Conforti: https://soundcloud.com/asideofdata/building-a-process-mining-startup-with-raffaele-conforti New decade for process mining with Wil van der Aalst: https://soundcloud.com/asideofdata/new-decade-for-process-mining-with-wil-van-der-aalst
March 8, 2020
In this episode of A Side Of Data I interview Raffaele Conforti about his experience of building an Australian process mining startup Process Diamond. Show notes: 2:00 What is process mining for the startup focusing on process mining software 3:30 How do you make a difference between process mining in comparison to data mining and machine learning with clients. 5:00 Is BPM an important for process mining projects? 6:00 Why would you develop a new tool in comparison of using existing tools for consultancy? 9:30 Difference between BPMN and process map 12:00 Problems of a process map and more about BPM models 18:00 About process diamond capabilities 21:00 How can your software compete with more established competitors like Celonis? 22:00 Conformance checking in Process diamond 27:00 Alignment vs business level alignment solutions 29:00 BPMN and conformance checking results. How do they work together? 31:00 What is the story behind the startup? 33:00 Why doing startup in Australia is different to Europe and US 35:00 How is the startup status 36:00 How to get trial of the software 38:00 How much time do you spend on consulting vs coding the startup Links to Raffaele page: http://www.raffaeleconforti.com Link to Process Diamond http://processdiamond.com Find A SIDE OF DATA on twitter: https://twitter.com/ASideOFData And on the web: asideofdata.com SEND us an email with suggestions: asideofdata@protonmail.com Listen to more episodes of the podcast, like this one: https://soundcloud.com/asideofdata/new-decade-for-process-mining-with-wil-van-der-aalst
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
A podcast about unconventional data science. Covering Data Science, AI, Data Visualizations, Process mining, BPM, and more. Sometimes also putting data aside to see beyond.
A new episode is released every third week on Sunday.
I am looking forward to your comments and future episode suggestions on email or twitter.
This podcast updates daily.
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
Yes, this podcast regularly features guests.
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.