Coinlive is privileged to have been granted the opportunity to participate in this year's All That Matters 2023, which is taking place at Hilton Singapore Orchard from 11 to 13 September.

As an integral part of the event, Coinlive undertook the responsibility of providing coverage of the event's proceedings.

Harnessing The Power Of AI

How are organisations harnessing the power of artificial intelligence (AI) today? This question serves as a critical starting point to explore the significant transformations underway.

The impact of AI extends beyond a mere trend; it stands as a catalyst for organisational reinvention.

On 11 September, the panel consisting of Caspar Schlickum, Managing Director of Accenture Song who was moderating; and Candina Weston, ex-Microsoft CMO, specialist in Marketing, AI, and Transformation, dives into the topic “AI...Want It That Way?”

Caspar illustrated that according to statistics drawn from interactions with industry leaders, a staggering 90% of leading organisations are actively integrating gen AI into their operations.

As we delve into the adoption of gen AI, especially within the marketing landscape, it is worth noting that finding suitable use cases has historically posed a challenge.

However, the landscape is rapidly evolving. In the short term, we have methodically mapped out a comprehensive array of use cases spanning the entire marketing value chain.

Today, we are eager to spotlight four key domains where AI-driven applications are delivering tangible impacts on businesses.

First and foremost is the realm of enhanced intelligence, where a diverse array of AI technologies is empowering organisations to make more informed decisions and glean deeper insights from their data reservoirs.

Secondly, AI is unlocking new dimensions of creativity by handling backend processes, allowing human talent within organisations to focus on ideation and insights rather than production.

Improving the customer experience stands as the third pivotal area, wherein AI enables organisations to disseminate relevant messages across an expanded spectrum of touchpoints, ultimately delivering a more personalised and engaging customer journey.

Finally, the fourth domain centres on increased productivity and efficiency, where AI facilitates the creation of content at scale, accelerating customer engagement and delivering a richer and more relevant experience.

The Journey Toward Achieving The Ultimate Outcome In The Landscape Of Gen AI Is Intriguing

In the ever-evolving landscape of gen AI, the journey toward achieving the ultimate outcome is an intriguing one.

According to Candina, instead of rushing to the final stage, their approach, and where they have initiated, centres on the critical foundation of acquiring the right insights and data quality from the outset.

Within organisations, data often resides in a fragmented state, scattered across various repositories.

Their initial focus has been to consolidate this dispersed data into a centralised source that enables effective learning, not only for humans but also for the machines.

However, it is important to emphasise that this journey is not solely about data.

Considerable effort is invested in the development process as well.

While they have delved into the dynamics of the workforce and job roles shortly, the quality of data is pivotal: it forms the bedrock upon which they can construct the edifice of hyperpersonalisation. As we navigate decision-making within such a data-rich environment, complexities arise concerning how to precisely tailor content to individuals.

This is where AI tools come into play, simplifying the process by enabling the segmentation of audiences by region, among other factors, based on the data input received.

This capability becomes particularly crucial in scenarios like demand generation, where diverse audiences are targeted simultaneously.

The key takeaway here is that the journey does not commence with flashy graphics or superficial aesthetics; rather, it initiates with the meticulous task of data cleansing and grounding in the subject matter. This robust foundation serves as the cornerstone upon which the edifice of personalised experiences is constructed.

With Great AI Power Comes Great Responsibility

With great AI power comes great responsibility and Caspar pointed out what to take note of: copyright infringement and plagiarism, confidential data, data inaccuracy, explainability, biased questions and answers, and regulatory compliance.

In the realm of AI-powered copywriting, a growing concern has surfaced among writers.

It revolves around the content they generate and feed into the ever-hungry digital landscape. Confidentiality and data privacy have become paramount considerations.

Many platforms are actively responding to these concerns by establishing sandbox environments.

These controlled spaces facilitate the sharing of data that was previously proprietary or confidential to organisations while preserving the ability to harness indispensable tools like sentiment analysis.

However, an essential aspect that often goes unaddressed is the critical issue of bias.

Achieving true legibility and authenticity in content creation hinges on understanding the underlying biases that may inadvertently influence the content's tone and style.

Moreover, compliance with ethical and regulatory standards is increasingly vital in this evolving landscape.

As we navigate the era of Gen AI, the opportunities are limitless. It is a testament to the symbiotic relationship between human creativity and AI's analytical prowess.

Is AI A Boon For The Industry?

During another panel consisting of Gregor Pryor, Managing Director of Reed Smith LLP who was moderating; Meng Ru Kuok, CEO and Co-founder of BandLab; Hazel Savage, VP Music Intelligence of SoundCloud; and Alisha Outridge, Chief Technlogy & Product Officer of TuneCore, dives into the topic "Rage Against The Machine - Can the Law Regulate AI?"

There are compelling instances showcasing how AI is empowering creators, with a vast number of creators already harnessing the capabilities of AI tools, according to Gregor.

The real intrigue lies in whether AI has the potential to unlock entirely new creative experiences — perhaps even allowing artists to resurrect the past.

We are witnessing artists usher in fresh, immersive experiences through AI-driven innovations, fundamentally reshaping how we consume and engage with content.

However, alongside these promising prospects, a chorus of concerns has arisen.

Some argue that AI, in its quest to generate content, may displace human creators, potentially sidelining their contributions.

Moreover, there's the looming apprehension of homogeneity, the fear that AI-driven content generation might lead to a standardised and predictable landscape in terms of content consumption and user behavior.

Regions like Europe, for instance, have been actively shaping the regulatory landscape around AI and copyright, imposing restrictions on training AI without the necessary permissions.

In contrast, the United States (US) grapples with evolving industry-specific guidelines and extensive litigation in the absence of concrete legislation.

As we navigate this complex terrain, the issue of licensing comes into focus.

AI systems heavily rely on the data they ingest, and even when data is licensed, it has the potential to transform the consumption of content in unforeseen ways.

This dynamic prompts considerations about safeguarding various stakeholders within the AI ecosystem from potential legal challenges.

Hazel went on to coin “AI for good” with Alisha and Meng concurring that AI is indeed empowering. Meng went on to express that there is AI for bad as well.

The Impact Of AI

The impact of AI is undoubtedly extensive, but it is also profoundly intricate.

Its influence extends not only to the realm of music but also to editorial processes.

AI has the potential to empower a broader spectrum of individuals, and this empowerment has already ushered in a significant shift in mass editorial creation through platforms like Twitter, Blogspot, and Blogger.

These shifts pose unique challenges to traditional media outlets, which are adapting to the evolving landscape.

Interestingly, we have witnessed instances where traditional forms, like print magazines, have made a resurgence in a digital era characterised by an overwhelming volume of content.

This phenomenon underscores the need for differentiation and innovative approaches to champion artists effectively.

In this context, AI holds substantial promise for editorial tasks. It can enhance sub-editing, aid in conducting thorough research for interviews, and streamline various aspects of content creation. It offers the potential to augment productivity and enrich the quality of content.

However, as with any transformative technology, there are considerations.

While AI can undoubtedly be a valuable tool, it may also introduce certain inefficiencies or potentially replace certain roles within the editorial landscape.

Striking a balance between harnessing the advantages of AI and addressing potential challenges remains a pivotal aspect of this evolving dynamic.

In this intricate tapestry of AI, creativity, and legal considerations, we are at the precipice of transformative change.

As we contemplate the implications and navigate these uncharted waters, the intricate interplay between AI, creativity, and the law continues to evolve, challenging conventional notions of content creation, ownership, and protection.