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AI is all the buzz these days, so how big of a role do you see AI playing in the future of BPM?
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Minor, so long as we continue to see 70% failure rates and so long as consultants/vendors are unable to agree on basic ways/means of managing workflow/workload.

Clients should be tripping over each other to get BPM working for them. The potential for increased efficiency and increased effectiveness is huge.

The failure rates, in my view, are the result of

1) mixed messages up front (bafflegab, oversimplification), but once in place,

2) clients/customers need to understand that best practices need to be updated from time to time, with the incorporation of automation where this makes sense.

The UI's have to make work easier for users than continuing to perform work the old way.
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  1. more than a month ago
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AI does not exist. Machine Learning will make current flowcharting approaches of BPM both in analysis and optimization utterly obsolete especially where they relate to human interaction. The impact in orchestration of backend processes will be less. People will still call it BPM and marvel at the progress ... ;-)
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  1. more than a month ago
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Brian Reale
Blog Writer
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BPM will be slowly but surely consumed by Machine Learning/AI. There is a direct correlation between the disappearance of BPM as we know it and the mass disappearance of jobs that has begun to happen and will continue to happen at an accelerated rate. We had better start realizing that Universal Basic Income (UBI) is going to become a necessity in this brave new world.
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  1. more than a month ago
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It will play an important role. Process will not get smart by relying solely on human intervention. In addition, today's environment is too disruptive to have static processes. How does the stock market work and business process execution, how does Uber & utilities create variable pricing? They have frameworks that learn and consume insights to make change to the process. plenty of other examples. Processes that connect into AI for insights will be able to react to changing conditions. AI will influence decisions in the process and moving forward it will start to 'change' the process on the fly. However, AI will never take over, certainly in the next 20 years. AI is still in its infancy and how it is leveraged within business execution processes is still on a huge learning curve at major organizations, but it is accelerating. The fundamental challenge is that AI can never set the key objective and/or goals. AI can influence and potentially change a value in an objective and/or goal but it will take humans to set strategy thus set the objective and/or goal for processes to operate.
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  1. more than a month ago
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If we look at business processes lifecycle then, obviously, AI has no place at the beginning of it. However, the modelling and implementation of business processes may become almost automated.

Thanks,
AS
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  1. David Chassels
  2. 2 months ago
  3. #5734
Automation from the model to implementation of the business process already proven really does work....and no coding or code generation needed which supports easy changers





  1. more than a month ago
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I would like to support Stuart's view... Eventually AI will take over the process design and improvement. This will take some years... meanwhile we are looking ways to automate the processes by AI. AI kind of helps human activity in any kind of service. Recently I read an article about how AI supported the help desk to identify the callers mood and gave advise to deal with it. Doctors get help to identify the disease and suggest cure.... A lot will happen when the AI starts to "understand" spoken language....

br. Kai
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  1. more than a month ago
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I believe AI will be one of the biggest contributing factors to optimizing process efficiency, as it will be much more capable of reacting timely to unforeseen events compared to human actors in a process. I don't think that AI will "consume" BPM as BPM is a methodology based on a philosophy of structured, governed and continuously improved process management and AI still does and for the time being will be relying on logic and programmable lines of code.

I guess the role that AI will play can be huge, certainly in combination with ML, certainly when (to quote Kai Laamanen ): AI start to understand spoken language.
BPM is all about mindset first and toolset later....much later
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  1. more than a month ago
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AI in business processes should require knowledge of the whole end to end process which should involve BPM thinking...I say "should" as I agree with Karl with current high failure rates and lack of clarity and understanding. This existing mess of legacy is a hindrance to the required joined up thinking which BPM can bring to identify and implementation good and relevant AI with support from users....just a question of time as automation of implementation of business processes is recognised as the future with business in control...not IT.....?
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  1. more than a month ago
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Big time. Working on our new AI powered process tooling.

Starts with a customer telling his problem to our process design bot. Robot understands problem, defines process needed to solve problem, implements process by building workflow and bots to execute it.
Sharing my adventures in Process World via Procesje.nl
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  1. more than a month ago
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There are undeniable benefits of automated, complex and situation context aware algorithms in BPM.
These can play into the realm of integration enhancements via RPA or rules modeling (like DMN improvements) and engines. In that sense, key technologies already started playing a key role in the current BPM landscape.
That, however, is not true AI yet. In its purest sense, AI, I think will also gain importance in BPM abut likely in a more gradual manner. Nonetheless, there are quite interesting use cases already of process users tapping into features of Watson for AI driven text mining or Google Clouds Natural Language processing to find context from customer feedback throughout social media and kicking off processes from there.
The more accessible true AI becomes, the greater will be the role it will play in BPM. It’s a natural fit.
NSI Soluciones - ABPMP PTY
Comment

We are finding the potential for rule sets to be way beyond what we might have anticipated. . .

Take any process fragment, put a pre-processing rule set immediately upstream from the starting node and you avoid engagement where there is a medium to high risk of a bad outcome;

Take any process step and put in place a rule-set that prevents untoward results;

Put a post-processing rule set on exit from any node/task and you avoid problems downstream.

Errors and omissions decrease, efficiency increases, effectiveness increases, outcomes improve.

Why is it taking so long for folks (customers and consultants) to get on board with this? Before, during and after covers the total spectrum

Dr Bertrand Meyer figured this out in 1985, CPM, the antecedent of BPM goes back to 1957, people have been doing ACM, in medicine, since the 1700's.
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BPM will become a key driving force behind further development of AI. Machine learning in business applications is blind without guiding role of BPM, similarly as a company is blind without its management.

Despite impressive success, AI is still in its infancy in respect to its literal involvement into high level business processes. Concurrently with the increase of the role of AI in principal business contexts, there will grow demand for BPM in coordination and structuring of AI for business purposes.

As in any other business domain, BPM is suitable and responsible for proper AI positioning in business. Without precise BPM governance, AI bears excessive risks for a business as any important but poorly managed and not transparent part of ongoing operations in an organization.
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  1. more than a month ago
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Artificial Intelligence being a multidimensional subject area. It can be broadly classified as a blend of Machine Learning, Predictive/Adaptive Analytics, NLP, Text Analytics, Voice Pattern Recognition, Image Analytics, Deep Learning, Graph Analysis, Robotics and many more.

The current state for adoption of AI complementing Business Processes in an enterprise is a bit chaotic with Discussions, Debate, PoCs, R&D etc. Hopefully, the we will embark on a more structured & focused approach(fingers crossed)

From process impact standpoint, the key topic that will make a difference are:

  • Enhanced Decisioning Strategies
  • ‎Predictive / Adaptive Analytics
  • Persona Driven solutions
  • Mature Robotics Process Automation
  • Development of Self Healing Processes
  • Inception of ML & Deep Learning Model driven processes
  • Improvised Customer Experience (personalized) with Data fuelled strategies
  • Reduction of OpEx with automated decisioning & self-healing capabilities
  • Hype & marketing around “touchless” or “zero-touch” implementation e.g Touchless Claim Processing, Zero Touch Onboarding etc.
  • Reduction of Contact Center overheads with Chatbots/Virtual Assistant implementations
  • The AI, IoT & Process interlock can also act as a game changer in certain scenarios
  • BPM products adding yet another capability to their stack as a new feature (be it homegrown or a plug & play model) ?

To summarize:
AI implementation is not new for enterprise (processes), they are already doing it in some form or the other (magnitudes may differ). But yes with the buzz in the wild, it has become a checklist mandate and a parameter for competitive advantage. Definitely, with new tools/technologies mushrooming everyday, AI will strengthen/mature & proliferate to unlock tremendous value. Things won’t change overnight to attain the “nirvana” state, it will be a steady incremental approach with a judicious feasibility study.

[Artificial Intelligence]:[Brain of the Enterprise] :: [Business Process]:[Heart of the Enterprise]
References
  1. https://thebpmfreak.wordpress.com/2017/12/09/how-big-of-an-impact-do-you-think-ai-will-have-on-processes-in-2018/
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  1. more than a month ago
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