eBook: Strategies for AI Excellence in New Zealand Organisations

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Leaders Roundtable: Bridging the Gap: Practical Steps to Drive AI Adoption in BFSI

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The AI revolution is in full swing, with seemingly all enterprises caught up in the excitement.

But a sobering reality confronts BFSI data and tech leaders. Under pressure to deliver quick wins, they struggle with assessing and prioritising truly impactful AI use cases. Even successful pilots often hit a wall when scaled, leaving organisations frustrated and questioning their AI roadmap.

Australia’s BFSI Sector: Unveiling the AI Adoption Gap

  • Only 4% have an AI-first vision driving their business strategy, with AI seamlessly integrated throughout their processes.
  • 85% struggle with AI skills and talent – nearly half of these organisations have begun to upskill, with no formal program is in place.
  • 59% feel that compliance with government regulations needs improvement. – despite all the regulatory mandates.
    Source: Oxford Economics & Cognizant

How can BFSI organisations tackle the key roadblocks to move beyond proof-of-concepts and become AI powerhouses, unlocking efficiency, personalised experiences, and data-driven decision making?

Looking forward to welcoming you to this impactful session where you will be joined by your industry peers for a discussion on immediate steps to take on

  • Finding the Right Fit. Uncover best practices for identifying high-impact AI use cases beyond productivity gains, focusing on areas like decision support, cost efficiency and enhancing customer outcomes.
  • Building Buy-In. Overcome employee resistance and drive AI adoption through effective communication, training, and keeping “humans in the loop”.
  • Responsible AI. Learn strategies to establish clear internal governance guardrails for ethical and responsible AI development, including frameworks for management of errors and liabilities.
  • Balancing Compliance & Innovation. Explore ways to navigate the regulatory landscape, including prioritising ‘safer’ use cases, how technology can help compliance efforts, and the conversations that should be had with regulators.

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Leaders Roundtable: Bridging the Gap: Practical Steps to Drive AI Adoption in Enterprises

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Leaders Roundtable: Bridging the Gap: Practical Steps to Drive AI Adoption in Enterprises


We’ve concluded another successful event! Thanks to everyone for their Valuable contributions.

->Click here to explore hightlights and key takeaways from this Roundtable session.


The AI revolution is in full swing, with seemingly all enterprises caught up in the excitement.

But a sobering reality confronts enterprise data and tech leaders. Under pressure to deliver quick wins, they struggle with assessing and prioritising truly impactful AI use cases. Even successful pilots often hit a wall when scaled, leaving organisations frustrated and questioning their AI roadmap.

New Zealand’s Enterprises: Unveiling the AI Adoption Gap

  • 70% of organisations feel that they are not moving fast enough to keep pace with the industry AI trends.
  • Only 24% believe they have enough internal capabilities for an AI-led transformation.
  • Only 14% have an AI-first business strategy, with AI seamlessly integrated throughout their processes.
  • 66% struggle with AI skills and talent – more than half of these organisations have begun to upskill, with no formal program in place.
    Source: Oxford Economics & Cognizant

How can organisations tackle the key roadblocks to move beyond proof-of-concepts and become AI powerhouses, unlocking efficiency, personalised experiences, and data-driven decision making?

Looking forward to welcoming you to this impactful session where you will be joined by your industry peers for a discussion on:

  • Identifying the Right Fit. Discover best practices for finding high-impact AI use cases beyond productivity gains, focusing on decision support, cost efficiency, and enhancing customer outcomes.
  • Starting the Journey. Explore how to begin your AI journey, balancing the pressure for quick wins with a prudent approach, getting employee buy-in, and building robust safeguards.
  • Ensuring Data Usability. Learn how to prepare the underlying data foundation necessary for AI to fully leverage latest tools within the ecosystem.
  • Building Responsible AI. Implement strategies to establish clear internal governance for ethical and responsible AI development, including frameworks for managing errors and liabilities.

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Leaders Roundtable: Bridging the Gap: Practical Steps to Drive AI Adoption in BFSI

No ratings yet.

The AI revolution is in full swing, with seemingly all enterprises caught up in the excitement.

But a sobering reality confronts BFSI data and tech leaders. Under pressure to deliver quick wins, they struggle with assessing and prioritising truly impactful AI use cases. Even successful pilots often hit a wall when scaled, leaving organisations frustrated and questioning their AI roadmap.

Singapore’s BFSI Sector: Unveiling the AI Adoption Gap

  • 70% lack a comprehensive AI strategy, encompassing not just technology but also human factors like change management.
  • 60% struggle with AI skills and awareness – with only 15% confident of their internal AL/ML capabilities.
  • 40% grapple with identifying impactful use cases, despite investments and research.

How can BFSI organisations tackle the key roadblocks to move beyond proof-of-concepts and become AI powerhouses, unlocking efficiency, personalised experiences, and data-driven decision making?

Looking forward to welcoming you to this impactful session where you will be joined by your industry peers for a discussion on immediate steps to take on

  • Finding the Right Fit. Uncover industry best practices for identifying high-impact AI use cases within your organisation.
  • Building Buy-In. Overcome employee resistance and drive AI adoption through effective communication and training.
  • Responsible AI. Learn strategies to establish clear internal governance guardrails for ethical and responsible AI development.
  • Fueling AI Roadmap with GenAI. Discover how GenAI can act as a strategic lever, accelerating your organisation’s AI transformation.

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Global Systems Integrators Play Catch Up in Cloud and AI

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Over the past year we have seen global systems integrators (SIs) – Accenture, IBM, Deloitte, Fujitsu, Capgemini and others – make many acquisitions, particularly in the public cloud, AI, cybersecurity and data space. Much of the growth in spending over the past few years have been driven by these categories: in 2020 if a software company was purely or mainly SaaS, they are likely to have witnessed strong growth. If they were on-premises software, they were lucky not to see declining revenues. While it is normal for the larger SIs and consultants to play catch up through acquisition, it is becoming harder for them to gain traction in these new areas.

Technology Shifts Drive Market Fragmentation

With every technology-driven business change new SIs, consultants, and managed services providers emerge. It happened with the move to big ERP systems, the move towards Business Intelligence, the emergence of SaaS etc. But I think we are now seeing something different. More than just the smaller players going after opportunities earlier, I believe we are seeing a changing buying behaviour from tech and business buyers – a greater willingness for larger enterprises to give their most important, business-critical strategies and implementations to smaller, less established players.

And I am not suggesting that the larger SIs are not performing well. Many are growing at 10-25% YoY – but at the same time, many are also growing at a slower rate than the markets they play in. The Ecosystm RNx for global IT services and consulting providers shows that the global providers continue to power ahead. But they need to adapt to changing market conditions.

Top-10-Global-IT-Services-Consulting-Company-Ranking

New Cloud/AI Partners Winning Consulting and Implementation Deals

We have seen a new community of partners emerge with tech changes, such as the hyperscale cloud platforms and AI/machine learning tools. Traditionally, these companies would be good at one thing – and would learn slowly. For example, in the SAP ERP growth period, the projects were large and long. A single, mid-sized SI might only be working with 2-3 clients at a time. Therefore, the IP that they collected was limited – and they would find themselves with focused or niche skills. The large SIs had done many large, long projects across the globe and had much best-practice IP to call upon, giving them a broader and deeper knowledge of the technology and industries.  Smaller providers had limited IP and industry experience.

But in this cloud and AI era, specialist providers work on hundreds of smaller projects with dozens or hundreds of clients. With the technology constantly evolving, the skills are constantly improving. While the global SIs are working on many cloud and AI engagements, they are often part of longer engagements – giving the consultants and tech teams less exposure to the new and evolving cloud platforms.

In a world where technology is changing at pace, the traditional global SI practice of “learning from peers across the globe” doesn’t happen at the pace the market requires. By the time your peers in the business have completed a project, documented it, and shared learnings, the market has moved on and technology has changed. Today it is easier and faster to learn directly from the tech vendors and cloud platform providers and their training partners.  The network effect of knowledge in a team on the opposite side of the globe for a global SI is less valuable to clients. Often the smaller and mid-sized SIs have a deeper, broader knowledge of the technology platforms and toolsets than the larger providers – giving them a competitive advantage. For example, if you want the actual experience of moving SAP to Azure, or Oracle to AWS – you’ll often find the smaller providers have more experience. And this continues to play out. In many markets in the world, the top 5-10 SIs for cloud, AI and cybersecurity has a high proportion of local specialist providers.

Tech Buyers No Longer Look for Culturally Aligned Partners

Tech buyers themselves are changing too. In years gone by, the smaller tech partners would tell us that they felt they were included in bids to drive down the price from the global SIs. But today the story is different. Smaller partners are admired for their agility and innovation. Large enterprise customers will choose small providers because the small SI is NOT like them. In the past, they chose the global SI because they were just like them!

Because of this, the large SIs are mopping up their smaller competitors across the globe. Accenture has acquired 40 companies in the past 10-11 months, IBM has acquired over 10, Atos and Cognizant have also acquired many companies in the past 12 months. They are doing this for the skills as much as for the clients, along with getting a foothold in a new market or strengthening their position in geography. The challenge will be to hang on to the clients, culture, and the IP of the acquired business. Often these smaller competitors are growing at a significant pace – and the biggest risk is that the acquiring company takes their eyes off the prize.

Global SIs Still Own the Industry Play

Despite these challenges, one of the areas that the global SIs will continue to dominate is the industry play. I have discussed how as technologies mature, industry plays become more relevant.

Smaller and mid-sized SIs and consultants find it hard to create deep pools of expertise across multiple industries. While some may have a deep focus on a single or two industries, only the large players have broad and deep geography and industry experience. This puts many of the acquisitions into context – the global SIs will take these acquisitions and use that deep and broad technical and business knowledge and add it to their industry knowledge to create a more compelling offering.

Their challenge will still be one of cultural alignment. As discussed, many companies seek out tech partners who represent what they want to be, not what they are. The ability for the Global SIs to retain the culture, agility and innovation of the acquired business will determine their ability to continue to see similar or improved levels of growth from the acquired business. Using their IP in the context of industries will be the key to their ongoing success.

More Insights to tech Buyer Guidance
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Ecosystm RNx: Top 10 Global IT Services & Consulting Company Rankings

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