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strategic AI practices, channel partners can guide enterprise customers in adopting cost-effective, efficient LLM solutions. This positions them as trusted advisors and paves the way for innovation and growth in the age of enterprise AI. •
Right-sizing LLMs involves selecting models that balance size, complexity, and training data to meet business needs. models and implementation strategies based on real-world results are essential for long-term success.
# 7 Foster learning and upskilling
Invest in training and development programs to equip enterprises with the necessary expertise in LLM technology, right-sizing techniques, and best practices for enterprise implementation is crucial. Ensuring enterprise customers stay informed about the latest advancements in the rapidly evolving field of AI is an ongoing necessity.
# 8 Consider partnerships
Channel partners should explore collaborations with specialised AI vendors or consultants to augment their in-house expertise and gain access to advanced tools and platforms for LLM development and deployment.
LLMs offer vast potential for enterprises in the UAE. Channel partners are key to unlocking this potential, but they must overcome challenges in model right-sizing. By following a structured roadmap, investing in expertise, and aligning with
How ManageEngine leverages narrow AI and selective LLMs
ManageEngine’ s IT management tools, that leverage right-sized LLMs, can enhance enterprise IT operations. They can improve network anomaly detection, enable precise predictive maintenance, and streamline IT support ticket categorisation. They also facilitate faster, more accurate retrieval of information from knowledge bases.
ManageEngine employs a balanced AI strategy, using narrow AI for routine tasks and LLMs for complex challenges, ensuring high performance and cost-efficiency.
ManageEngine exemplifies this strategy with its proactive AI approach. The company focuses on preventing IT issues and optimising operations using narrow, purpose-built AI and selectively deployed LLMs. This aligns with right-sizing principles, matching the appropriate AI model to each task. ManageEngine’ s practical, value-driven philosophy is reflected in its AIOps platform, which uses machine learning to automate tasks and provide actionable insights.
Zoho Corp, ManageEngine’ s parent company, strengthens this vision with significant investment in in-house LLMs, such as Zia LLM. Emphasising contextual AI, data privacy, and customer control, Zoho’ s initiatives, like Zia Agents and AI Bridge, demonstrate a strong commitment to responsible AI adoption. Collaborations like the one with NVIDIA to develop industry-specific LLMs further reinforce this.
In the context of ManageEngine’ s IT management tools, right-sized LLMs can enhance various operations. They can improve network anomaly detection, enable precise predictive maintenance, and streamline IT support ticket categorisation.
They also facilitate faster, more accurate retrieval of information from knowledge bases. ManageEngine employs a balanced AI strategy, using narrow AI for routine tasks and LLMs for complex challenges, ensuring high performance and cost-efficiency.
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