Rob Koplowitz's Research
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For Application Development & Delivery Professionals
REPORT: Process Mining: Your Compass For Digital Transformation
The Customer Journey Is The Destination
February 7, 2019Rob Koplowitz
Process automation is critical to digital transformation. It depends upon new software, and developers have better tools to meet that demand. The challenge: which processes to automate? Most application development and delivery (AD&D) professionals don't understand their own processes, and they can't articulate them, either. Read this report to understand how to leverage process mining to discover and prioritize automation efforts.
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For Application Development & Delivery Professionals
REPORT: Now Tech: Rapid App Delivery, Q1 2019
Forrester's Overview Of 41 Rapid-App-Delivery Providers
January 4, 2019 John R. Rymer, Rob Koplowitz
Digital process automation for wide deployments (AKA DPA-wide) and low-code development platforms let application development and delivery (AD&D) pros and their business partners automate and inform customer operations — quickly. Thus, these rapid-app-delivery platforms are vital to digital transformation initiatives. To access these benefits, you'll first have to select from a diverse and shifting set of vendors that vary by size, functionality, global reach, and vertical market focus. Use this report to understand the vendor landscape.
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For Application Development & Delivery Professionals
REPORT: Predictions 2019: Software
Software Innovation Builds Upon Cloud, Collaboration, AI, And More
November 8, 2018 Christopher Condo, Randy Heffner, Duncan Jones, Rob Koplowitz, Diego Lo Giudice, John R. Rymer, Margo Visitacion
Making predictions is hazardous, particularly about the future. Nevertheless, our intrepid software analyst team offers a handful of predictions about important changes in development tools and processes, software pricing policies, and more. Application development and delivery (AD&D) pros should read this report to prepare for inflection points coming in 2019.
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For Customer Insights Professionals
REPORT: Evoke Trust With Explainable AI
Balance Transparency With Accuracy To Increase Stakeholder Adoption And Mitigate Risk
November 1, 2018 Brandon Purcell, Rob Koplowitz, Christopher McClean
The promise of AI is rapidly materializing; however, not all AI is created equal. Some machine learning algorithms are transparent, allowing brands to see how they make decisions, while others are opaque, obscuring the inner logic of models. Still others are transparent yet so convoluted that the results are not easily explainable. This report highlights the evolving area of explainable AI and how customer insights (CI) pros should consider the tradeoffs in risk, accuracy, and applicability when they determine the level of explainability in AI.
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For Application Development & Delivery Professionals
REPORT: What Software Developers Don't Know About Neural Networks Could Hurt Them
How To Balance The Risks And Benefits Of This Powerful Technology
November 1, 2018Rob Koplowitz, Brandon Purcell, Christopher McClean
The promise of AI is rapidly materializing. Capabilities once available only to data scientists are now easily accessible by app developers. The results are compelling, but they also come with risk. Developers must approach opaque AI models like neural networks that cannot reveal the logic behind a decision or insight with caution — and with support from risk and compliance pros. Application development and delivery (AD&D) pros should read this report to learn how to balance risk and reward with these powerful deep learning techniques.
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