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AI Automation Essentials

AI automation harnesses advanced AI techniques, including machine learning (ML) algorithms, natural language processing (NLP), and computer vision, to analyze extensive datasets. Through this process, AI applications not only process information but also construct intelligent models capable of making informed decisions based on acquired knowledge. This Refcard aims to equip practitioners with the necessary insights to navigate the complex process of building and implementing AI automations.
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The “Onion Peel” Approach to Hyper Intelligent Automation

Hyper Intelligent Automation (HIA) was verily the flavor of 2021 and going ahead into 2022 and beyond it’s set to stamp its importance in more ways than one. The growing clout of “Intelligent Automation” is buttressed by the fact that a recent Zinnov Zones report on Hyper Intelligent Automation (HIA) shows the segment will grow at a rate of 50-55% year-on-year to cross USD 18Bn by 2026 from the existing USD 2.4 Bn. The deal ecosystem has seen a steady rise in demand for HIA and 30-35% of the overall HIA deals are over USD 500K in size.

This trend underlines a fundamental shift of large enterprises who are no longer looking at automation focusing only on efficiency and cost savings but at outcomes around enhanced stakeholder experience and business resilience.

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Why Betting on a Single Process Automation Strategy Is a Bad Idea

In the digital age, success depends on properly automating business processes. Digitizing and standardizing processes and repetitive tasks reduce operating costs by 90%. Companies that want to be future-proof must introduce process-automation systems and position themselves for growth. 

Automation increases efficiency drives down costs and improves both customer and employee satisfaction. Businesses that stand out are those that have adopted automation and have become more agile and cost-efficient. They are paperless and have very few manual processes.

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Camunda IoT Proof of Concept: Part 2


This is Part II in the series covering a Proof of Concept (PoC) project I’m working on as part of my job as Principal Developer Advocate at Camunda. I’m not sure how many posts will be in the series, but, well, at least two? If you missed Part I, you might want to catch up on it before continuing.

This part of the project was the first hardware build of the project. I have now built and deployed a complete outdoor weather station to gather data about current weather conditions outside the greenhouse. This will allow me to compare conditions inside the greenhouse with conditions outside the greenhouse, and compensate accordingly.

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Realizing the Full Potential of Automation Leveraging BPM + RPA

The lifespan of so-called ERP (Enterprise Resource Planning) systems has continuously been evolving and taking different dimensions. In the late 90s and early 2000s, there were close to a dozen ERP products ruling the business world. It catered many industries with their specific modules, such as Human Resource Management (HRM), Financial and Accounting Management, Supply Chain Management (SCM), Sales and Distribution Management (SDM), Manufacturing & Warehouse Management, Customer Relationship Management (CRM), and many more.

ERP and BPM Streamlining the Business Processes

The period 2000-2010, witnessed large acquisitions and mergers of ERP vendors and at the end of 2010, only a few ERP product companies existed in the market. JD Edwards, known for its strong Manufacturing modules (Plan-To-Build), was acquired by PeopleSoft, known for its HRMS (Hire-To-Retire) and Campus management solutions. Right after this acquisition, Oracle, which was known for its Oracle Financials and Budgets (Record-To-Receipt), acquired PeopleSoft and Siebel, known for its CRM (Acquire-To-Retain) capabilities. It finally became a strong ERP product, with a combination of Financials, Human Resources, Manufacturing, and Customer Relationship Management (CRM) besides its strong Database capabilities. The other big player has been SAP, still.

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Business Process Management: What BPM Is and Why You Need It

Business process management is about getting the work done. Love it or hate it, processes are the core of a business. They exist in every department and team and are critical to the outcome of operations. Business processes are like a blueprint that defines the pathways and flow of activities that run within and between different business functions, like an employee onboarding process or an invoice approval process.

But moving from point “A” to point “B” along these pathways, and doing it as efficiently as possible, doesn’t come without effort. It takes time, resources, and a bit of good planning to make sure your blueprint is sound and work is running smoothly. That’s where BPM comes into play.

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Managing Complex Java Workflows With Unify-flowret

Unify-flowret is a lightweight Java orchestration engine that can scale from the simplest of workflows to the most complex ones. Read more about it on https://github.com/americanexpress/unify-flowret.

You may be wondering... Why another orchestration engine when there are already so many? We have off the shelf commercial “heavyweights,” open-source frameworks like AWS step functions/Uber Cadence/Netflix Conductor, and a host of others. Why another one?

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Legacy Apps Slowing You Down? Try a Composable Enterprise Business Platform

In today’s COVID-savvy, Amazoned world, supply chains depend more than ever upon software – and yet, legacy applications threaten to bog down this essential part of the business. In truth, no company can afford such a ball and chain that limits its ability to remain competitive in today’s turbulent business environment.

As a result, IT leaders find themselves in a quandary: either live with the profit-killing technical debt that legacy applications deliver, or, somehow, cut those applications loose in order to implement all-new supply chain management technology.

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Advanced Process Integration Tips – Dealing with Unexpected Errors

Using advanced process integration techniques becomes essential as you evolve your developer skills while integrating more and more of your business workflows. One of the most common questions is how to effectively handle unexpected errors without just dropping out of a workflow?

During the development phase, it is expected that developers deal with unexpected behavior along with predictable and unpredicted errors that might happen during the execution of code. Consider the following situation:

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Don’t Confuse Business Process Management with Network Automation

It is not uncommon for enterprises to confuse the role of a Business Process Management (BPM) system with that of a network automation solution. Because there are a lot of similarities between the two, we often see organizations attempt to leverage BPM systems to automate network activities in an effort to leverage their existing investments in these tools. Additionally, the allure of open source BPM options is often mistakenly seen as low-cost alternatives to network automation solutions. While the differences between the two are vast at their core, they are often overlooked or discounted in the planning process due to their common traits and similarities at the surface. Inevitably, their differences always present themselves as major problems during implementation when operators discover they can’t force a network focused automation process into a system not designed with that in mind; it’s just not the right tool for the job and as a result, falls short in automating critical network operations.

When looking at the capabilities of a BPM system as compared to a network automation solution, they both share similar features such as: