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Pioneering Generative AI Solutions

Unleashing Innovation with Generative AI

Generative AI presents a transformative opportunity to redefine how you approach problem-solving and innovation. This advanced technology can convert unstructured text, images and audio into insightful, actionable outcomes, significantly enhancing decision-making processes and operational efficiencies. From readiness assessments and use case identification to meticulous strategy formulation and execution, Idiro Analytics is here to help you leverage the power of generative AI for your business.

What brings you to this page today?

Generative AI Readiness Evaluation

Idiro Analytics works with its clients to assess the alignment (or lack thereof) between an organisation’s AI ambitions and the supporting processes, data, skills and technology within the business.

Critically, we evaluate your organisation’s cultural readiness and existing use case inventories, providing a clear, actionable roadmap for deploying generative AI solutions that will revolutionise your business landscape.

Our AI-enabled customer service model:

Understands customer queries​

Takes context into account

Provides comprehensive solutions in real-time.

Results are significantly improved customer satisfaction and long-term customer loyalty.

Generative AI Use Cases

Generative AI is transforming a myriad of industries by providing innovative solutions to age-old problems. Below are three prime examples of how this technology is being applied in the real world.

1. Advanced Customer Service through Private LLMs

In customer service, private Large Language Models (LLMs) are being deployed to provide sophisticated, context-aware support. Unlike public LLMs, private models are trained on a company’s proprietary datasets, ensuring that the generated responses are highly relevant and secure. This bespoke approach allows for the creation of virtual assistants that understand complex queries, provide accurate information, and even handle sensitive customer data with discretion. Additionally, the integration of Retrieval-Augmented Generation (RAG) models enables these systems to pull in real-time data from the company’s databases or the internet to augment their responses, ensuring that the information provided is up-to-date and comprehensive. This not only elevates the customer service experience but also significantly reduces response times and operational costs.

2. Custom Content Creation for Digital Marketing

Digital marketing thrives on the ability to produce fresh, engaging content at scale. Generative AI revolutionises this process by synthesising new content based on extensive data learning. It can generate everything from tailored ad copy that resonates with specific audience segments to personalised email campaigns and blog posts that maintain the brand’s unique voice. This automation not only streamlines content production but ensures that each piece is optimised for engagement, significantly enhancing marketing strategies while allowing your creative teams to focus on strategic planning and innovation.

3. Personalised E-commerce Experiences

E-commerce platforms are using generative AI to offer unprecedented personalisation. Beyond just recommending products, generative AI can create virtual try-ons and customise product designs in real-time, driven by a customer’s past preferences and behavior. For example, it can adaptively design and visualise a piece of clothing in various styles or colors, offering a highly personalised shopping experience. This deep personalisation not only boosts customer satisfaction but also drives loyalty and conversion rates by making shopping interactive and uniquely tailored to each user.

At Idiro Analytics, our approach is collaborative and business-centric. We immerse ourselves in the essence of your business objectives, challenges, and aspirations. By doing so, we identify and prioritise generative AI use cases that promise not just immediate benefits but long-term value. From workforce optimisation to role-specific innovations, our recommendations are grounded in realism, aimed at delivering sustainable success.

Ready to get started? ​

Strategic AI Roadmapping & Execution

We can help you develop a generative AI strategy that is aligned with your company’s goals and KPIs. We design comprehensive AI plans that identify the best use cases and address the personnel, processes, and technology required to deliver on your ambition.

Our team of gen AI experts can then assist you and your team in implementing this strategy efficiently and cost effectively.

Is Generative AI expensive?

When considering the adoption of generative AI within an organisation , a common concern revolves around the cost. However, it’s essential to understand that while the initial setup and deployment of generative AI solutions involve effort and resources, they are generally more quick and cost-effective compared to traditional IT projects.

Effort and Cost-Effectiveness

The development of generative AI models requires specialised knowledge and computational resources, especially during the training phase where large datasets are often processed. Despite these prerequisites, once a model is trained, deploying and integrating it into existing systems can be relatively straightforward. Generative AI’s ability to automate content creation, personalise customer interactions, and optimise decision-making processes can offer significant ROI by enhancing efficiency and customer satisfaction, often surpassing the initial investment in a relatively short period.

Compared to conventional IT projects, which may involve lengthy development cycles, complex integration efforts, and substantial upfront costs, generative AI projects can be more agile and adaptable. The use of pre-trained models and cloud-based AI services from the likes of Microsoft, AWS and Google further accelerates deployment, making it possible to implement powerful AI functionalities without the need for extensive custom development.

Cloud Hosting and Usage Considerations

The cost of maintaining and operating a generative AI solution largely depends on the traffic and usage levels, particularly for solutions hosted on the cloud. Cloud-based platforms such as AWS and MS Azure offer scalable pricing models based on the amount of computational resources consumed and the number of API calls made to the AI service. This means that businesses can start small and scale their usage as needed, paying only for what they use.

Additionally, cloud hosting provides the advantage of continuously updated AI models and access to the latest advancements in AI technology, ensuring that the solutions remain effective and efficient over time without additional investment in hardware or research.

While there is an upfront investment associated with deploying generative AI, the overall cost and effort involved are often more manageable than expected, especially when compared to traditional IT projects. The key to cost-effectiveness lies in leveraging scalable cloud services and focusing on solutions that offer tangible benefits to the business. As generative AI continues to evolve, it presents a valuable opportunity for businesses to innovate and improve their operations in a cost-effective manner, making the question of expense one of strategic investment rather than financial burden.

Here in Idiro Analytics, we understand the need to minimise the total cost of ownership of any new gen AI solution. We can usually develop and deploy a gen AI solution in a matter of weeks. The longer term cost due to cloud usage is a function of how frequently you, or your customers, use the service and therefore difficult to quanitify, though our experience with clients to date is that they do not consider the costs to be in any way prohibitive.

Your Future, Amplified by AI

With Idiro Analytics, stepping into the future of generative AI is not just about adopting new technologies—it’s about reshaping your industry’s landscape, fostering unmatched innovation, and securing a competitive edge that propels you forward. Let’s embark on this transformative journey together, where your vision meets our expertise, and together, we redefine what’s possible.

 

Discover the Difference. Unleash the Potential of Generative AI.

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