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Using generative AI at work: dos and don’ts

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In today’s tech-driven workplace, the use of Generative AI, a powerful tool capable of producing human-like text, has become increasingly prevalent.

While this technology offers many advantages, it also raises a host of questions and concerns.

To navigate this evolving landscape, it’s essential for professionals to understand the do’s and don’ts of using Generative AI effectively and ethically.

Generative AI, often powered by models like GPT-3, can revolutionize content creation, streamline customer support, and automate various tasks. However, it’s crucial to use it responsibly. Do embrace Generative AI for content generation, but ensure that the generated content aligns with your brand’s values and guidelines. Don’t blindly rely on AI-generated content without human oversight to avoid misinformation or brand misrepresentation.

When it comes to data privacy, do protect sensitive information and adhere to legal regulations like GDPR. Don’t use AI to mine personal data without consent or in ways that infringe on privacy rights. Striking the right balance between innovation and compliance is key.

As for employee engagement, do explore AI-driven tools for productivity and personalization, but don’t forget the human touch. Nurturing a collaborative work environment remains essential. The question is: How can we harness the potential of Generative AI while maintaining the human element?

In summary, Generative AI holds immense promise for businesses but requires careful implementation. Use it wisely to boost efficiency, but always uphold ethical standards. Keep human interaction at the forefront of your workplace strategy, and respect privacy boundaries. By doing so, you can harness the full potential of Generative AI while avoiding its pitfalls.

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Leaders

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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