Rewire for AI

Strategies for AI excellence in New Zealand organisations

RESEARCH PAPER

AI adoption trends in New Zealand

Imagine a world where your teams extract insights from vast text volumes in minutes, not hours. By 2030, New Zealand aims to become a global leader in responsible AI innovation, leveraging it to build a prosperous, inclusive and equitable future.

This ebook leverages data from the study we conducted with Oxford Economics to uncover the key challenges and opportunities in AI adoption within New Zealand organisations. It also features insights from data and technology leaders of leading New Zealand enterprises who participated in the EcoSystm Leaders Roundtable in Auckland.

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THOUGHT LEADERSHIP

Rewiring the enterprise for pervasive AI

Amidst the generative AI hype, we offer clarity and practical insights, drawing from extensive experience in guiding clients through AI integration.

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RESEARCH REPORT

The AI advantage: Why ANZ is positioned for gen AI success

Our research with Oxford Economics zooms in on Australia and New Zealand, to reveal the key factors inhibiting or accelerating business adoption of gen AI.

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Strategies for AI excellence in ANZ BFSI organisations

Our latest ebook, based on our survey conducted in partnership with Oxford Economics and Ecosystm, examines the current state of gen AI adoption, accelerators and inhibitors faced by BFSI organisations in Australia and New Zealand.

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From proof-of-concept to organisation wide adoption

Leaders must think beyond an opportunistic, bolt-on approach to plan and execute a new level of transformation.

Generative AI handbook

Our generative AI handbook walks through the AI landscape, looking at both its boundless potential and risks. Get practical with questions to ask and steps you can take to move ahead with a responsible AI approach.

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High-impact applications of AI

These impactful use cases channel the strengths of AI into tangible business outcomes. Our teams bring deep industry expertise, technology know-how, holistic vision and a practical approach to help you navigate from these possibilities to a scaled implementation that fits your needs.

Market and competitor intelligence

Coupled with enterprise and market data, generative AI can deliver richer insights at a faster pace, to inform more effective strategic decision making.

Employee engagement

See how generative AI can create a more personalised, simple experience in recruiting, onboarding and development—including orienting staff, assisting with administration and accelerating learning.

Marketing and sales

Increase revenue and margin by using generative AI to enhance and accelerate the go-to-market experience.

Featured services for AI-led transformation

We deliver solutions for all stages of an AI-first transformation, whether you’re still exploring, scaling successful pilots for impact or leading the way with lean and intelligent operating models.

Featured

Cognizant Flowsource™

Give designers, engineers and product owners everything they need to build the software of tomorrow at speed, with a focus on business impact.

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Cognizant Neuro® AI

Cognizant’s Neuro AI platform services use tools, models and frameworks to accelerate responsible adoption of enterprise-grade generative AI.

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Data modernisation

Get ready to take advantage of new opportunities with a future-proof data ecosystem.

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Cognizant Skygrade™

Skygrade is a “cloud done right” solution that enables organisations to unlock the full potential of hybrid and multicloud estates at enterprise scale.

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AI business accelerators

Speed your adoption of AI and Automation using our pre-configured solutions for business processes.

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Neuro™ IT Operations

Put AI-driven automation at the center of digital transformation with intelligent approach to IT operations.

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Neuro™ Business Processes

Accelerate the adoption, integration and orchestration of AI and automation technologies into your business processes and see results faster.

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AI model training

Train your AI and generative AI models to deliver valuable, ethical and contextually accurate results.

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New work, new world

Hard numbers are finally here. Generative AI could deliver more than $1 trillion in annual growth by 2032, while potentially disrupting up to 90% of existing jobs. How can leaders navigate an upheaval of this scale and realize the technology’s full potential? By investing in people.

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Press release

Cognizant and Microsoft announce global partnership to expand adoption of generative AI in the enterprise, and drive industry transformation Read more

Responsible AI: A shared commitment

World Economic Forum: Why we must think locally when planning globally with AI

Governments and businesses could erode public trust in AI if they do not consider cultural differences and needs first. We should aim to balance technological advancement with economic prosperity, trust, responsibility, and social impact.

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Why we must think locally when planning globally with AI

Will gen AI help or hinder women in the workplace?

Our recent survey shows women are more wary than men when it comes to gen AI and jobs. A closer look reveals the data behind the heightened concern—and ways to safeguard women from the negative impacts of gen AI.

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ANZ insights

THOUGHT LEADERSHIP

Modern outsourcing – driving outcome driven solution

Modern outsourcing must unify IT and business process with a clear focus on trust.

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THOUGHT LEADERSHIP

Rewiring banking for pervasive gen AI

While experiments have begun in earnest, we have seen the importance of understanding a company’s readiness for different levels or tiers of generative AI integration.

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THOUGHT LEADERSHIP

Four principles for excelling with gen AI

A well-defined vision is indispensable for the successful implementation, adoption, and expansion of generative AI within the organization.

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PERSPECTIVES

Capitalising on gen AI

How can banks and financial services companies seize the enormous opportunities of gen AI and reduce the equally sizable risk?

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Global insights

Technological innovations breed more breakthroughs. Learn how experts are putting them to work.

Multi-agent AI is set to revolutionize enterprise operations

AI agents that interact not only with humans but independently among themselves are already transforming business operations—and the technology’s potential is just beginning to be realized.

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