Harnessing AI for Data Analytics

Artificial intelligence for data analytics will transform a raw dataset into useful knowledge that can enable your business to sell more, increase profits and reduce costs. Today, a huge number of organisations are investing in Artificial Intelligence (AI), but it’s easy to get caught up in big data preparation and theoretical models and never see the business impact.

 

AI, Data science and Machine Learning are more complex than Business Intelligence, requiring a broad and unique skill sets in order to achieve results and organised data management. With artificial intelligence for data analytics, Telefónica Tech can help you to successfully explore and realise the potential locked in your data assets by establishing new, data-driven capabilities.

Why do Organisations need to invest in Artificial Intelligence for data analytics?

Organisations are generating much greater volumes of structured data than ever before. Big data technologies enable organisations to capture and process this data meaningfully to address real business problems. Machine learning allows organisations to perform massive computational exercises on these data sets, uncovering hidden trends and patterns.

 

Data scientists, working at the convergence of these advances, harness their combined potential to deliver new and unexpected insights that revolutionise business decision-making.

Our Approach

  • List the Issues

    Working together well list the issues that business stakeholders face, deep dive into these and prioritise them. This is to define the candidate solution to be delivered.

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  • Identify the Appropriate Technique

    We will identify the most appropriate technique to solve your business problem. Telefónica Tech have many tried and tested model templates to solve business challenges.

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  • Develop Prototype

    We will deploy one of our experienced consultants to work with your domain experts to develop and evaluate a working prototype model.

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  • Productionise the Model

    Once we have demonstrated that the POC delivers the accuracy to satisfy your requirements, we can help you integrate the model within your business processes.

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  • Continuous Improvement

    We will then continuously monitor, manage and maintain your models for you, freeing you to focus on your business objectives.

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List the Issues
Identify the Appropriate Technique
Develop Prototype
Productionise the Model
Continuous Improvement

Output and Next Steps

The Artificial Intelligence POC for data analytics will provide you with an insight into the potential of AI for your organisation along with the confidence that you can begin your AI journey and realise measurable benefits in the short term.

 

The output of the AI POC will be a findings report containing:

  • An overview of the high-level candidate solution (or solutions) identified in the envisioning workshop
  • For the candidate solution chosen for POC:
    • Key findings of the POC (including conformation that suitable data exists to make the model viable and an interpretation of the model outputs, including its accuracy)
    • A summary of the next steps (including estimates of time and cost), in order to proceed with the implementation and ongoing management of the model
    • An evaluation of the challenges the potential solution might address and the benefits it might provide.

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