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Businesses are still unprepared for AI implementation despite high ambition

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Generative AI, touted as the next big thing in business transformation, is facing significant adoption hurdles.

Despite the widespread hype surrounding AI technologies, the survey of over 300 business leaders globally found that only 9% of businesses are significantly utilising AI in their operations.

The report highlights several barriers impeding the widespread adoption of generative AI. Concerns over data privacy, regulatory compliance, and inadequate IT infrastructure are cited as major obstacles.

Stela Solar, Inaugural Director at Australia’s National Artificial Intelligence Centre, emphasised the misconception regarding the ease of implementing mature, enterprise-ready AI solutions.

AI governance

She stressed the need for companies to enhance data quality, privacy measures, and AI governance to facilitate AI adoption.

While business leaders express optimism about AI’s potential, current deployments are largely limited to automating repetitive, low-value tasks.

The survey indicates a growing interest in expanding AI usage across various business functions, with expectations of doubling AI deployment by 2024.

However, challenges related to IT resources, capabilities, and budget constraints remain significant concerns for many organisations.

Furthermore, regulatory compliance and data privacy emerge as critical barriers to AI implementation.

The proliferation of generative AI technologies has raised legal and security concerns, with companies grappling with issues such as copyright disputes and data breaches.

Laurence Liew, director for AI innovation at AI Singapore, emphasised the importance of establishing robust governance structures and cybersecurity protocols to mitigate these risks.

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AI and data sovereignty set to lead business innovations in 2025

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As businesses embrace cutting-edge tech, challenges like data sovereignty and AI are taking centre stage.

 

Over the past six months, the AI industry has seen significant advancements, with competing models such as Meta’s Luma and Google’s Gemini entering the market.

However, these developments come with a reality check. Building large language models (LLMs) requires substantial computing power and time, making immediate returns on investment unlikely.

One promising innovation is agentic AI, a step beyond generative AI, which enables proactive, automated solutions.

For instance, this technology could stabilise IT systems autonomously, diagnosing and resolving issues without human intervention.

Data sovereignty has also emerged as a key focus, with increasing emphasis on keeping data within national borders to comply with local laws. This has driven the adoption of sovereign clouds and private data centres, ensuring secure and localised data processing for AI development.

Deepak Ajmani, Vice President of ANZ & APAC Emerging Markets at Confluent, joins to discuss the evolving business landscape.

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Shows

Copilot redefines the modern workday

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Unlocking efficiency and customer success with AI-powered tools

The Tech Edge is a captivating business IT talk show delving into the latest industry trends and their significance in today’s landscape.

In this episode, Mike delves into the transformative power of Microsoft 365 Co-Pilot with Laura Morales, Customer Success Manager at AvePoint.

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Organisations overcome challenges in AI implementation

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Key lessons and tips for seamless Copilot adoption

In this episode, Kate Faarland, the Senior Vice President of Data and AI Programs at AvePoint, discusses the importance of AvePoint’s data and AI program, internal challenges with implementing CoPilot, and the organisation’s learnings from rolling out CoPilot for their workforce.

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