Accelerating AI innovation and scale for profitability | NTT DATA

​Telco, media and technology

Accelerating AI innovation and scale for profitability

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AI will increase efficiency, boost productivity and yield innovation.

Business and individual customers have high expectations of their telecom providers, and innovation sits at the core of the industry’s DNA.

This should be the basis for a dynamic balance between demand and supply.

The reality is different. Large parts of the industry remain constrained by rising costs, spiralling network demand, legacy silos and stagnant revenue streams.

These constraints undermine profitability, which limits the industry’s ability to innovate.

Find out how

Download our reports to find out how to accelerate AI innovation for enhanced profitability in your telco. 

​Telco, media and technology

Micro-augmentation: The future of knowledge workers in AI-native telcos

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Micro-augmentation: How AI is driving faster time to market through SDLC

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Seize the AI opportunity

NTT DATA foresees two major near-term opportunities to unleash the power of innovation and place every provider on the road to becoming an AI-Native Telco.

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1. Workforce micro-augmentation

AI boosts productivity and reduces operational costs. Opportunities include accelerating the Software Development Lifecycle, modernising legacy software, increasing network automation and enhancing customer support. But the technology doesn’t achieve all of this on its own: that’s why micro-augmentation of your workforce, at scale, matters.

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2. Creating new revenue streams

AI applications will increasingly run not just at the core, but at the edge, too: on smartphones, PCs and billions of IoT devices. Under these circumstances, the network becomes the critical path for latency-sensitive data, creating new possibilities for providers to diversify service portfolios and monetise new offerings.

Building the AI-native organisation

Two further opportunities exist. Both are vital to realising AI's potential and creating a sustainable route to AI-native operations for long term success.

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The AI Operating Model

Deploying AI at scale means planning and developing applications and data across the business – securely, reliably and consistently. At the heart of this approach sits the AI Factory: a centralised AI software development unit that exploits accumulated know-how, re-usable components, infrastructure and change management skills to accelerate deployment.

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AI Culture Transformation

Telecommunications providers must build a workplace culture that sees AI as an opportunity, rather than a threat. Supporting staff with opportunities to learn about AI, adapt to it – and master it – will underpin successful deployment and unlock new opportunities to boost productivity.

Which route will you take and how quickly can you scale AI?

Organisations are exploiting AI to create their own routes to innovation.

 

GenAI investments are changing the way work gets done

How enterprises are allocating their GenAI investments by business function.

These opportunities lie on a spectrum between two organising principles:

  • Maximising efficiency and cutting costs
  • Boosting productivity by supplementing employees’ skills

No two projects are the same. Many will involve a combination of goals. However, our view is that boosting productivity by using AI to augment human skills will prove to be the most enduring source of value.

We call this process micro-augmentation.

AI is revolutionising software development faster than any other area of the enterprise. And we’re practising what we preach. This means deploying AI to accelerate everything: planning, development, testing and deployment. Our clients are benefitting in terms of reduced costs and faster time-to-market.

Tom Winstanley

Tom Winstanley
CTO and Head of New Ventures at NTT DATA UK&I

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