Dr. Rahul C. Basole
2.9K posts

Dr. Rahul C. Basole
@basole
Managing Director & Global Lead, Visualization and Interaction Science, Ecosystem Intelligence, AI Strategy @Accenture | Prior: Prof @GeorgiaTech | Views own.
Earth เข้าร่วม Aralık 2009
47 กำลังติดตาม661 ผู้ติดตาม

What are some of the grand challenges in visual analytics applications? Recent @ieeecga article outlines a research and development agenda for making Visual Analytics application research more rigorous and impactful. #VIS #AI #ML dx.doi.org/10.1109/MCG.20…

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What insights can you gain from unstructured business ecosystems data? New research presents an interactive #AI-powered visualization approach to augment decision makers’ understanding of complex business ecosystems. #VIS @hwpark @dseuss @northernlight authors.elsevier.com/a/1iFiecBd3vV-d



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Honored to have our work on the intellectual structure of low-code development research nominated for best paper in the software technology track at #HICSS57. Congrats to my co-authors Ali Asad Syed Naqvi, Markus Zimmer, @kristinalemmer, @drews_paul. scholarspace.manoa.hawaii.edu/server/api/cor…

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HICSS, one of the longest-standing scientific conferences in information systems, technology management, and system sciences, kicks off this week. Check out the program here: drive.google.com/file/d/1AlbDPe… #HICSS57 #AI #ML #VIS @HICSSnews @INFORMS @IEEEorg

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Nice to see research extend earlier work @pevans_c and I did on visualizing the API ecosystem (see doi.org/10.1145/2856447). @InfoEcon @SBenzell @DogmaticPrior substantiate how open APIs generate firm value. doi.org/10.1287/mnsc.2… @INFORMS #API #platform #ecosystem


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This is truly exciting. @Accenture is launching a network of #GenAI Studios to help enterprises accelerate use of data and AI technologies across industries and functions. #VIS #Data #AI finance.yahoo.com/news/accenture…
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How do large language models, transformers, and generative AI work? A nice in-depth, interactive visual explanation by the @FT team ig.ft.com/generative-ai/ #LLM #GenAI #VIS @madhumita29 @samjoiner @sam_learner @Dan_Clark5 @inari_ta
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Visualizing political biases in language models (LMs). Research shows that LMs, pretrained on diverse data sources, can have political leanings that reinforce the polarization present in pretraining corpora. Need for end-to-end transparency. arxiv.org/abs/2305.08283 #AI #ML #VIS

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By definition, the root cause of a directed graph is the node that has no parent node. Based on a visual network analysis of these wicked problems, the evidence points to “Profit Maximization”. @Toffeemen68 @christiansarkar @kotl


Ian P. McCarthy@Toffeemen68
And the root cause is?
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If you happen to be interested in all three topics, you may want to check out a recent @RTMJournal paper that describes a framework for and experiences with developing visual analytic systems for innovation and R&D intelligence. bit.ly/3YnFYSW @AOMConnect #AOM2023


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The 2023 #AOM conference is kicking off with some interesting sessions today, ranging from using #visualizations for strategy work and researching #openinnovation to exploring what's next week for #ecosystem research. Program: bit.ly/44ebowS @AOMConnect
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Excellent blog post by @lisacmuth from @Datawrapper on the use of color to emphasize what you want readers to see first, second, third, or last in your data visualizations. blog.datawrapper.de/emphasize-with… #VIS #AI

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For #systemsEngineers of all skills across industries, today’s #incoseIS keynote from @basole is a must watch. Our transdisciplinary responsibilities require that we leverage these insights enabling shared understanding of problem & solution across diverse stakeholders.

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I had the distinct pleasure to keynote the 33rd #INCOSE Symposium in Honolulu today. Thank you @incose_org for inviting me and to all attendees for allowing me to share my thoughts on visualizing complex systems and the power of #data and #AI. It was truly an honor. Mahalo!



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Fascinating large-scale study of the economic impact of the AI-powered developer lifecycle. Adoption of #GenAI productivity tools could potentially contribute to a $1.5 trillion increase in global GDP by 2030. @ashtom @marcoiansiti @KeystoneIdeas @GitHub arxiv.org/abs/2306.15033
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