Last updated on Sep 21, 2024

You're facing budget constraints for AI projects. How can you make the most of your legacy system upgrades?

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Saida Haji

LinkedIn Top AI Voice | Top Leadership, Engineering Voice | Network Transformation Lead at Accenture CFN

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Pasquale Aiello

SaaS Specialist | LinkedIn Top Voice AI 2023 | Presidente - ENTDÂ® ENTE NAZIONALE PER LA TRASFORMAZIONE DIGITALE
Sai Jeevan Puchakayala

ðŸ¤– AI/ML Consultant | ðŸ› ï¸ Budding Solopreneur | ðŸŽ›ï¸ MLOps Maestro | ðŸŒŸ Empowering GenZ & GenÎ± with Cutting-Edge AIâ€¦

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Challenged by AI budget limits? Share how you're maximizing legacy upgrades without breaking the bank.

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Saida Haji

LinkedIn Top AI Voice | Top Leadership, Engineering Voice | Network Transformation Lead at Accenture CFN
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AI as a Managed services (AIaaS) Adopt AI-as-a-Service: instead of building in house, partner with providers to upgrade ur legacy systems (from ML models to data processing) that will eliminate Upfront cost for AI infrastructure. ðŸ‘Š Build AI powered simulations/ Digital Twins for legacy system test. Rather than completely replacing legacy systems, create AI powered interfaces around old system to enhance UE. ðŸ«£ Leverage crowd source AI dev without high cost of in house dev.ðŸ‘ Partner with academic institutions, startups or AI research labs to co develop solutions for legacy. ðŸ¤« Empower your existing employees by training them on no-code AI platforms, to build AI driven enhancements to ur legacy systems without any external support ðŸ˜‰

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Pasquale Aiello

SaaS Specialist | LinkedIn Top Voice AI 2023 | Presidente - ENTDÂ® ENTE NAZIONALE PER LA TRASFORMAZIONE DIGITALE
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It is essential to conduct a thorough analysis of existing systems to identify which components need upgrading and which can continue to function as they are. Over the years, I have seen dozens of companies terrified at the thought of having to work on old systems. This is the first barrier to overcome for optimization. Overcoming this fear is the first step to reducing costs, because almost always the tendency to procrastinate leads to increasingly burdensome operational costs. Putting patches on systems doesn't pay off and actually costs more, creating a spiral of inefficiency. Addressing legacy systems with a strategic approach allows not only to improve performance but also to reduce long-term costs.

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Sai Jeevan Puchakayala

ðŸ¤– AI/ML Consultant | ðŸ› ï¸ Budding Solopreneur | ðŸŽ›ï¸ MLOps Maestro | ðŸŒŸ Empowering GenZ & GenÎ± with Cutting-Edge AI Solutions | âœ¨ Epoch 22, Training for Lifeâ€™s Next Big Model | ðŸŒ Making a Global Impact
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When budget constraints limit AI projects, optimizing legacy system upgrades is crucial for maximizing value. Start by focusing on incremental upgrades that provide immediate, tangible benefits. Prioritize AI integrations that enhance existing capabilities, such as automating routine tasks or improving data processing pipelines, rather than overhauling the entire system. Leverage open-source AI tools and frameworks to minimize licensing costs and avoid vendor lock-in. Cloud-based AI solutions offer scalability without large upfront investments. Additionally, employing transfer learning or pretrained models can accelerate development, reducing training costs and computational overhead while still modernizing legacy systems.

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Mohammed Bahageel

Artificial Intelligence Developer |Data Scientist / Data Analyst | Machine Learning | Deep Learning | Data Analytics |Reinforcement Learning | Data Visualization | Python | R | Julia | JavaScript | Front-End Development
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To maximize legacy system upgrades within budget constraints for AI projects, prioritize incremental improvements that provide the most significant impact. Leverage open-source tools and platforms to reduce costs, and focus on optimizing existing infrastructure rather than complete overhauls. Consider cloud-based solutions for scalability and cost-effectiveness, and explore partnerships or collaborations that can share resources and expertise. By aligning upgrades with strategic business goals, you can ensure that investments are targeted and efficient, ultimately enhancing both system performance and cost savings.

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Rohan Shah

Founder & CTO
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Whenever there is a budget constraint, jump directly into desired outcome and result. Budget increases because of aspiration, if we map against the desired outcome, we always have avenues to leverage the parts of legacy system, see what you can use to drive towards our outcome. It may not be perfect but if does work, we are sorted. Break the desired vision into milestone and phase it out, so it is not heavy with the budget in a single shot.

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