Intelligent Automation #49

Welcome to today's issue, where we once again dive into the complex world of intelligent automation. From the foundational technologies like OCR and IDP to cutting-edge innovations in generative AI, we're covering a wide range of topics that reflect the rapidly evolving IT landscape.

In this edition, I’ll explore the next phase of generative AI adoption, examine why some tech innovations fail to resonate with customers, and highlight an upcoming webinar on maximizing Microsoft Copilot's potential. I’ll also revisit the basics of process mapping, offer tips for evaluating process mining renewals, and discuss common pitfalls in AI project implementation.

Join me as we navigate these diverse topics, providing insights and resources to help you stay informed and make better decisions in the ever-changing world of intelligent automation.

Thanks for reading – and don’t forget to subscribe if you haven’t already!

-????? Marty

• Gen AI’s Next Inflection Point: From Employee Experimentation to Organizational Transformation
• The End of Tech Glory Days
• Doculabs’ Webinar: Unlocking the Full Potential of Microsoft Copilot Across Your Company
• Process Mapping Methods: Types, Techniques, and Examples
• 6 Critical Questions to Ask Before Your Process Mining Renewal
• OCR vs. IDP: What’s the Difference
• 6 Key Reasons Why AI Projects Fail and How to Avoid Them

Gen AI’s Next Inflection Point: From Employee Experimentation to Organizational Transformation

After nearly two years?of debate, the verdict is in: generative AI (gen AI) is here to stay, and?its business potential is massive. We’ve already witnessed?an exponential rate of gen-AI-related innovation, which promises to accelerate automation and enhance productivity, innovation, and the quality of work, as well as the employee and customer experience. The companies that fail to act and adapt now will likely struggle to catch up in the future. Despite all the buzz, most companies have yet to scratch the surface of gen AI’s promise.?Read more.

The End of Tech Glory Days

Longtime industry analyst Alan Pelz-Sharpe discusses the fact that the tech industry has been pushing technology its customers aren’t interested in. What’s the mean for generative AI? From the article, “The hype surrounding GenAI mirrors the exaggerated tales of yore. While vendors tout its omnipresence, its practical application remains limited to mundane tasks such as document summarization. The disparity between perception and reality underscores a broader trend within?the tech bubble—a disconnection from tangible outcomes.” Read more.

Doculabs’ Webinar: Unlocking the Full Potential of Microsoft Copilot Across Your Company

Date: August 22

Time: 2 pm (Central)

Speakers: Richard Medina, Principal Analyst, and Marty Pavlik

We'll dive deep into the world of deploying Microsoft Copilot. Many organizations are struggling to realize the full benefits of this powerful AI tool. In this session, we'll explore the common pitfalls and share proven strategies for success. You'll learn: ? The three critical challenges that often derail Copilot rollouts ? Practical strategies for driving user adoption and overcoming resistance to change ? Tips for seamlessly integrating Copilot into your existing workflows ? Methods for measuring and maximizing your ROI on Copilot

Whether you're considering implementing Copilot, struggling with adoption, or looking to optimize your current usage, this webinar will provide valuable insights to help you unlock the true potential of AI-assisted work.

Register today. I look forward to sharing our thoughts with you.

Process Mapping Methods: Types, Techniques, and Examples

Going back to the basics, transforming business workflows begins with a process map. This post from Celonis looks at “some different types of process maps, the kinds of business processes you can capture with them, and a look at how process mining and process intelligence are changing the game and enabling businesses to analyze, improve, and monitor their processes, so they understand how their business runs and how it could run better.” Read more.

6 Critical Questions to Ask Before Your Process Mining Renewal [Tip of the Week]

Many of Doculabs’ clients are reaching the point of their first process mining renewal. Here’s our first tip for your evaluation process:

1. Are Your Current Focus Areas Still Relevant? Start by conducting a comprehensive review of the processes and business areas currently under using process mining. Consider whether there have been shifts in business strategy or new operational pain points that need addressing. For example, if your initial focus was on order-to-cash processes, but now supply chain optimization has become a priority due to recent disruptions, you need to ensure your solution can effectively analyze supply chain data. Technically, check if your solution supports the integration of new data sources relevant to your shifting focus areas, such as IoT data from logistics operations or real-time inventory management systems. Read the other five here.

OCR vs. IDP: What’s the Difference

You can’t automate your business if your documents remain on paper. OCR (optical character recognition) is a key technology that enables documents to be ingested into business processes. IDP (intelligent document processing) is a much broader industry segment that includes OCR. Smart IT professionals understand the difference between these tools and how they can be used to advance your business objections. This is a great introduction to both technologies, from one of the oldest companies in this particular industry. Read more.

6 Key Reasons Why AI Projects Fail and How to Avoid Them

We’ve reached the stage of articles about why AI implementations fail. This is a solid article and provides sound insights into what you SHOULD do with AI implementations. The amusing part? Anyone who has been in IT for any time at all will recognize all 6 reasons for failure because businesses have been making these mistakes with IT from the beginning: lack of problem definition, inadequate integration with existing systems, poorly collected requirements and lack of success metrics, no awareness of potential risks, lack of industry-specific understanding, lack of adequate preparation for people in your company. Read more.

?Just For Fun

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