Impact Radar for Generative AI
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Impact Radar for Generative AI

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In December 2023, Gartner introduced the "Impact Radar for #GenerativeAI" to assist companies in planning their investments and focusing on the most impactful use cases, which already provide real value to users.

Link to Gartner′s page: https://www.gartner.com/en/articles/understand-and-exploit-gen-ai-with-gartner-s-new-impact-radar?trk=feed_main-feed-card_feed-article-content

Some observations:

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#knowledgegraphs (KGs) are a potent tool for structuring data but face challenges, especially when operating at scale. Companies should consider alternative solutions, such as Neural Databases (Neural DBs), to address these challenges.

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Investments in Generative AI-powered Virtual Assistants necessitate expertise in multi-stage large Language Model (LLM) Chains and Hallucination Management. Without integrating these technological areas, developing a dependable solution becomes challenging.

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With the rise of Compound AI and LLM Chains, the inclusion of #AIOps tools for managing operations—such as performance, predictability, and security—becomes essential.

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Workflow Tools and Agents, including multi-agent systems, are closer to the present than one might think, especially the former. The advancement of Large Action Models (LAM) heralds a new era in Business Process Automation. The combination of #APIs, LAMs, and #LLMs will pave the way for a new generation of Robotic Process Automation (RPA) flows.

PS: What technologies on GenAI are you prioritizing in your company?


Content Credit:

https://www.dhirubhai.net/in/pedro-sequeira-martins/

I am a Senior, Independent Expert and Advisor with over 17 years of experience in Automation/AI and Business Operations. As part of the IAC group of Thought Leaders and Senior Consultants, I share a common mission to democratize access to top-tier technology knowledge, ensuring that all companies have equal opportunities to excel.

?? Email me today - [email protected]

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