The cloud is a critical aspect of modern life; in fact, 94 per cent of enterprises use the cloud in some capacity.  More specifically, 48 per cent of businesses store their more sensitive data on the cloud, 50 per cent of businesses run their workloads on the cloud, and 92 per cent of businesses use more than one cloud system. 

According to recent research, there is over one exabyte of data stored in the cloud.  This is the equivalent of 1,073,741,824 gigabytes or over 67 million iPhones worth of data.

The challenges of limited cloud visibility

Unfortunately, 79 per cent of organisations report widening visibility gaps in their cloud infrastructure, as well as a lack of visibility across cloud operations.  There are several reasons for this limited visibility.  For one, modern cloud tools do not provide an end-to-end picture; apps stand in the middle of centralised tools, preventing information from moving directly from the source to the recipient.  

Additionally, most cloud monitoring tools focus on a singular service.  This forces data teams to gather and analyse data across several different siloes.  Similarly, developing a holistic picture is difficult when it has to be done across a larger network.  It is hard to track internal users, remote users, VPN users, and more. 

Also Read: Debunking misconceptions about FinOps and cloud spending reduction

Another cause of the lack of visibility is that basic tools cannot adapt to the constant evolution of the cloud.  To make matters more complicated, more than nine in ten larger organisations use multiple cloud providers.  Because there are no universal tools for all cloud platforms, organisations need to use separate monitoring tools for each cloud. 

There are problems with these monitoring tools as well; they often focus on security more than the big picture.  To deal with this, companies need to purchase more tools to piece together a big-picture image of the cloud, which adds excessive and unnecessary complexity.

Other factors that limit visibility include small retrieval windows that make it hard to determine what is happening on cloud-based platforms and the fact that native cloud tools are more focused on developers and cloud engineers rather than network engineers.  The latter factor makes it difficult for network engineers to understand problems and effectively solve them. 

Limited visibility leads to limited functionality.  This is a huge problem for many organisations, with nearly half of all companies witnessing performance issues as a result of cloud visibility problems.  

An example of limited functionality as a result of visibility problems is a lack of support for remote workers.  Another example is poor migration support; in fact, 74 per cent of companies fail to migrate successfully, which forces them to move certain tools back to on-premise solutions. 

Limited visibility leads to tech stack inflation and limited cost or consumption visibility.  Finally, it causes greater security risks; in fact, organisations report 3.3 times more incidents caused by a lack of visibility. 

Functionality problems result in blind spots.  For example, companies struggle with delays in troubleshooting application performance, inability to monitor performance workflows, delays in solving security issues, and much more.  

Also Read: Cloud communication platforms: How to choose one for your business

It is no surprise that with all of these problems, 80 per cent of organisations are looking to increase their investments in cloud monitoring and visibility.  One way to achieve this is through cloud monitoring.  Advanced monitoring solutions address many of the problems that currently exist. 

For example, they provide end-to-end visibility, whether it be on-premises, hybrid, or multi-cloud.  Cloud monitoring also reduces security risks, produces a lower mean time to resolution, increases business value, and reduces overspending.  

The role of cloud monitoring in enhancing visibility and functionality

Organisations tend to be on the same page when it comes to the importance of cloud monitoring.  In fact, 90 per cent of organisations say that automating visibility could improve security.  There are several companies that can help set up systems to improve visibility and security.  

Cloud monitoring systems eliminate the need to use new tools for troubleshooting and include interactive workflows, alerts, reports, and more.  They improve cloud data flow to provide a better picture of overall traffic flows and can also provide performance metrics.  Cloud monitoring systems hold a vast amount of solutions and tools within one platform, making them a good investment.

As technology continues to develop, it is important to adapt alongside it.  Keeping up with the cloud requires careful attention and innovation, as problems such as limited visibility can end up harming businesses that are trying to use the cloud.  Luckily, tools like cloud monitoring systems can make a big difference in keeping up with a changing cloud.

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Editor’s note: e27 aims to foster thought leadership by publishing views from the community. Share your opinion by submitting an article, video, podcast, or infographic

Join our e27 Telegram group, FB community, or like the e27 Facebook page

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In late June, Malaysia-based UrbanMetry was selected for the Technology Pioneers list by the World Economic Forum (WEF). The list includes 100 companies that WEF has selected annually to work with society’s foremost political, business and cultural leaders to address issues facing people and the planet.

In an email interview with e27, Koh Cha Ly, Founder and CEO of UrbanMetry, explains what being selected means to the company.

“Being named one of the 100 Technology Pioneers by WEF validates our unwavering commitment to transforming urban environments through innovative technologies. This motivates and will drive us to continuously push boundaries and effect positive change, ultimately making cities smarter, more sustainable, and better for everyone involved,” she explains.

UrbanMetry is a data analytics company with data coverage in the Southeast Asia (SEA) region. It is dedicated to providing solutions to help businesses, cities and governments make informed decisions through a unique combination of spatial data and advanced analytics.

Apart from the award from WEF, the company has recently made several important milestones. According to Koh, it has been on a strong growth trajectory, doubling the team size last year while also growing in revenue size and stream.

“We have also expanded our data provision to Thailand and Vietnam in the past two years and are actively seeking opportunities to expand to the Middle East and Indonesia,” she says.

Also Read: Unleashing Singapore’s smart city potential: A gateway to limitless opportunities

Solving big city problems with UrbanMetry

When asked about the problem that UrbanMetry is working on, Koh begins by highlighting the role that data analytics plays in solving problems in a typical urban setting.

“Currently, a lot of work and technology solutions globally are placed on data analytics to solve city problems. However, most businesses, startups and key stakeholders do not realise that there is a huge gap in the data quality of cities in developed and developing countries,” she says.

“As most developing countries do not have the quality data required, digitisation, data-driven policies, asset risk mitigation and all other technological advantages available to cities become out of reach. UrbanMetry’s solution bridges this crucial data quality gap for cities in developing countries to unlock the potential for city data to build better cities.”

UrbanMetry approached the problem by seeking and collecting fragmented and polluted data available in the market, merging it with private databases and doing multi-layer cross-validation to build out proprietary city databases for the cities it tracks.

“The principle of solution builds on city building and urban planning policies to understand the population behaviours. Our solution builds on technological advancement including machine learning, big data and satellite imagery to solve these data gap issues we see in countries that need them most,” Koh elaborates.

The company targets key stakeholders of city building including real estate developers, banks, financial institutions, regulatory agencies and government bodies as their customers. It acquires these customers through knowledge engagement sessions and also through word of mouth.

Also Read: How data science and AI are fuelling smart city goals

As a city data company that offers data-as-a-service, the revenue model that UrbanMetry implements varies across different clients and products. But according to Koh, broadly, they are categorised by the quantity of data provided, project-specific data provisions and subscription of periodic data updates.

“We develop the revenue model in accordance to the needs and objectives of our clients that often differ across industries,” Koh stresses.

UrbanMetry has raised a Pre-Series A funding round with Monk’s Hill Ventures. Its earlier investors include 500 Global, 500 Southeast Asia, and Reapra.

In 2023, the company aims to pilot several B2C products that aim to leverage its city database to citizens in the city.

“The vision for these products is to help end customers utilise the database we have built to make better, safer and more sustainable decisions whilst investing in the city,” Koh says.

“Our newest solution UrbanVault aims to open up mortgage opportunities for the digital natives in a secure and modern manner while understanding the risks of buying a home. In the second half of 2023, we plan to roll out other B2C products to realise the full potential of our city databases in Southeast Asia,” she closes.

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Image Credit: UrbanMetry

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Empowering and emboldening talents in science, technology, engineering, the arts, and mathematics (STEAM) is crucial, especially now as we move closer towards a digital future. Cultivating spaces that not only nurture these talents but also foster collaboration across various disciplines is becoming increasingly important as they are necessary components when it comes to spurring innovation and meaningful social impact.

Leave a Nest, a leading science and bridge communication company in Japan founded by a group of science and engineering researchers in 2002, aims to advance science and technology for global happiness. Their core mission is to create value by bridging gaps in science through communication. For years, the organisation has been working on knowledge manufacturing to develop science and technology initiatives that benefit society. The Tsunagu program is initiated by Leave a Nest Co., Ltd. and has gathered subsidiaries in Singapore, Malaysia, and the Philippines to join forces to bring this program.

In its aim to enable science and technology developments and implement relevant applications to benefit society and realise a better collective future alongside various educational institutions, researchers, and companies that share the same philosophy, Leave a Nest has partnered with the National Institute of Education (NIE), an autonomous institute of Nanyang Technological University in Singapore that is one of the top-ranked institutes globally for education, and is the sole teacher education institute for teachers in Singapore.

Knowledge manufacturing across the business landscape

Leave a Nest works on what they call “Knowledge Manufacturing” with knowledge of science and technology and deploys its relevant applications to benefit society. In collaboration with various companies, educational institutions, and researchers, with a shared philosophy. The organisation focuses on various areas that aim to create businesses and promote projects relating to education development, STEAM talent and research development, as well as research and business linkages for technology transfer and new business creation.

One of its initiatives that embody this mission is the Tsunagu Research Project, an online and hybrid platform to foster rigorous scientific knowledge-sharing in the next generation. The theme for this year’s run is “Natural Resources: Water and Food” which is a familiar topic in the host country Singapore for this year’s program, and which seeks to involve young talents in addressing issues pertaining to resources.

By promoting research collaboration among junior and senior high school students around Asia through an eight-month program, the initiative seeks to harness the power of research, science, and technology. Students from Japan, Malaysia, the Philippines, and Singapore — sites of Leave a Nest’s subsidiaries — will work together to identify issues related to water and natural resources and formulate research that will lead to solutions that address these issues. Leave a Nest is also open to accepting applications from other ASEAN countries.

The youth as catalysts for innovation

This innovation-related program for the youth aims to forge newfound ways of research where students can make a difference in their communities by being involved in hands-on research projects. They will also be benefiting from personalised mentoring, as well as connections to the broader stakeholders in the science and technology ecosystem, including innovative companies and science experts in the region.

This opportunity provides a space to share knowledge and collaborate with other young STEAM leaders in the region, and create meaningful connections with like-minded people. 

The program also showcases that STEAM education is not only related to subjects learned in the classroom but can also be a powerful method for applying subject learning to solve real-world challenges. Once the research phase is completed, the knowledge can be shared with educators, and Leave a Nest can create better and more effective programs in the future in collaboration with educational institutions.

Solving real-world problems

Kihoko Tokue, Managing Director of Leave a Nest Singapore, shared with e27 how highly important teamwork and cross-disciplinary cooperation are in research and in STEAM-related education, and how crucial it is to expose talents to this practice early on. “Many of the issues we face nowadays cannot be overcome with just one person or one indsutry working on it. In order for us to have a better chance of overcoming these issues, teamwork and cross-disciplinary collaboration are crucial. Leave a Nest wants to bring NEST (Nature Engineering Science and Technology) to society in the best way possible. Thus, this program should help us provide better and improved programs in the future”.

The Tsunagu Research Project host country for 2023 is Singapore, and students from Japan, Malaysia, the Philippines, and Singapore will be working together to identify environmental resource issues and formulate research that will lead to innovative solutions.

Through this, Tsunagu continues to be a space for research collaboration by junior and senior high school students around Southeast Asia. This collaboration aims to evaluate the effectiveness of STEAM education through the Tsunagu Research Project. With this partnership, the goal to foster scientific thought in the next generation and promote research collaboration by junior and senior high school students around Asia can be bolstered further.

Interested? Visit the Tsunagu Research Project 2023 website for more information: https://tsunagu.lne.st/

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Photo by MART PRODUCTION via Pexels

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This article is produced by the e27 team, sponsored by Leave a Nest

We can share your story at e27, too. Engage the Southeast Asian tech ecosystem by bringing your story to the world. Visit us at e27.co/advertise to get started.

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Dear Pro members,

A new DealStreetAsia study reveals that about 67 per cent of Southeast Asia’s venture capital firms don’t have a single female investment decision-maker (the one with authority to lead deals and sign cheques). 

The startup industry has long been highly male-dominated. Women are massively under-represented among VC investors. A recent Harvard Business Review report found that women account for less than 15% of check-writers globally. This has often resulted in companies founded solely by women receiving less than 3% of all VC investments.  

In a recent interview with e27, Delta Blockchain Fund Founder and Managing Partner Kavita Gupta revealed that she had to work extra hard to earn her seat at the companies she previously worked for. 

This is changing, and more women are joining VC firms as partners, although they are not the decision-makers. More female representation in the highest decision-making body is the need of the hour as globally, an increasing number of women is diving into the startup world and seeking investments. This way, the gender gap in the startup world could be filled to a certain extent.

Today’s Ecosystem Roundup also has several exciting articles.

Have a nice day.

Sainul,
Editor.

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Not a single female chequewriter at 67% of SEA’s VC firms
While a cause for concern, the figure is still an improvement from 2022, when about 77% of investors lacked a single female chequewriter.

Zalora raises US$32.6M from parent GFG
Global Fashion Group (GFC) connects a population of 800M+ with thousands of brands through three established e-commerce platforms Zalora, Dafiti, and THE ICONIC.

Thai crypto exchange Bitkub raises fresh US$17.8M
The investor is local game publisher Asphere Innovations; Bitkub will use the money to expand its digital asset services in Thailand, a country where over 6.2M people owned crypto as of last year.

SEA firms to increase AI spending by 67% in 2023: report
The proportion of APAC businesses using AI in their operations jumped from 39% in 2020 and 2021 to 76% last year, according to an IDC InfoBrief commissioned by Dataiku.

SG yellow biotech startup Ento Industries raises funding
Ento leverages Black Soldier Flies to help address the growing food waste problem; It upcycles food waste to produce a sustainable protein suitable for farm animal and pet feeds.

China’s Shein files for US IPO, sources say
The stock market debut could make the fashion e-tailer the most valuable Chinese company to go public in the US since Didi Global listed in New York in 2021 at a US$68B valuation.

Rebel Foods eyes US$100M in revenue in Saudi expansion
Rebel Foods hopes to operate 60 cloud kitchens by the end of this year and has partnered with Dubai-headquartered cloud kitchen operator KitchenPark and Saudi-based Kitch.

Good Capital launches US$50M fund to back AI startups in India
The fund aims to invest in AI startups in India that are using the tech in areas such as distribution, personalisation, and business operations; The cheque size is up to US$1.5M.

Romanian firm Bitdefender to acquire Singapore’s Horangi Cyber Security
Horangi offers a cloud-native solution that secures critical cloud infra for enterprises across all major public cloud platforms.

Thai insurtech firm Roojai buys FWD General Insurance
Singaporean insurtech unicorn Bolttech owns FWD General Insurance; The deal will allow Roojai to boost its market share in Thailand with a joint portfolio of over US$50M in annual premiums.

Singaporeans to embrace AI-enhanced, immersive dining by 2040: report
Called “Snack to the Future,” the Deliveroo report predicts a shift toward personalized diets, with the emergence of “Me-ganism” as the mainstream dietary approach surpassing the popularity of the ketogenic diet.

Founders of Jirnexu step down from executive roles
Hann Liew was an executive director, while Lucas Ooi was corporate development director; Jirnexu provides tools and advice to its users and helps banks and insurance companies streamline their application processes.

British crypto exchange Blofin enters Vietnam
The exchange is customising its services to cater to the specific language and requirements of the local population; With 21% of its population reportedly owning cryptocurrencies, Vietnam has emerged as a global leader in cryptocurrency adoption.

Meet the 25 investors that invested in AI startups in SEA in 2023 so far
With AI fast becoming the most popular tech tool in the new era, we look at the investors that invested in SEA’s AI startups in 2023.

How to build customer trust with improved data privacy
Protecting customer data privacy is paramount for cultivating consumer trust and ensuring business operations run smoothly.

Sustainable solutions for energy-intensive data centres in humid SG
Addressing the environmental impact of energy-intensive data centres is crucial for ensuring a more sustainable future.

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Fundraising or preparing your startup for fundraising? Build your investor network, search from 400+ SEA investors on e27, and get connected or get insights regarding fundraising. Try e27 Pro for free today.

The post Ecosystem Roundup: Two-third of of SEA’s VC firms don’t have a single female chequewriter appeared first on e27.

Artificial Intelligence has become a transformative force in various industries, and marketing is no exception. With its ability to analyse vast amounts of data, personalise experiences, and predict consumer behaviour, AI is revolutionising the way businesses approach marketing strategies.

In this article, we will explore the various aspects of AI in marketing and its potential to revolutionise the industry.

Enhancing customer segmentation

Customer segmentation involves dividing a target audience into distinct groups based on shared characteristics, preferences, and behaviours. AI plays a crucial role in enhancing customer segmentation by analysing vast amounts of data and identifying patterns that human analysis might overlook.

AI algorithms can process and analyse diverse data sources, including demographic information, purchasing behaviour, browsing history, social media interactions, and more. By examining this data, AI algorithms can uncover hidden patterns and insights that help businesses understand their customers better.

With AI-powered customer segmentation, businesses can go beyond basic demographics and create more nuanced and dynamic customer profiles.

Hyper-targeted advertising campaigns

Hyper-targeted advertising campaigns take personalisation a step further by delivering highly relevant and customised content to individual customers. AI enables businesses to create hyper-targeted campaigns by leveraging the insights gained from customer segmentation.

AI algorithms can analyse customer data in real time and make instantaneous decisions regarding the delivery of ads. This allows businesses to deliver personalised ads that match the specific interests, preferences, and needs of individual customers.

Also Read: AI-powered legal solutions: Revolutionising the future of law practice

Through hyper-targeted advertising campaigns, businesses can reach the right audience at the right time with the right message. AI algorithms can dynamically optimise ad placements, adjust bidding strategies, and select the most suitable ad formats based on individual customer behaviour and preferences.

Predictive analytics and decision making

Data-driven insights

AI algorithms can process large volumes of data and extract valuable insights. By analysing consumer behaviour, market trends, and competitor activities, marketers can gain a deeper understanding of their target audience and make informed decisions. These data-driven insights help businesses refine their marketing campaigns, allocate resources effectively, and stay ahead of the competition.

Forecasting Consumer Behaviour

AI-powered predictive analytics enables businesses to anticipate consumer behaviour and trends. By analysing historical data and identifying patterns, AI algorithms can generate accurate forecasts regarding customer preferences, purchase patterns, and market demand. This foresight allows marketers to tailor their strategies proactively and deliver relevant experiences, driving higher conversion rates and revenue.

Content creation and curation

Automated content generation

AI algorithms can generate content automatically, reducing the time and effort required for content creation. From generating product descriptions to writing blog posts, AI-powered content generation tools can produce high-quality, SEO-optimised content at scale. This enables marketers to meet the ever-increasing demand for content without compromising quality.

Content recommendations and personalised experiences

AI algorithms can analyse user preferences, browsing behaviour, and historical data to provide personalised content recommendations. By understanding individual user interests, AI-powered platforms can curate content that resonates with each user, increasing engagement and driving conversions. This personalised approach enhances the user experience and fosters long-term customer relationships.

Considerations in implementing in-house enterprise walled garden

Whilst OpenAI and ChatGPT are suitable for casual queries, most enterprises will not be comfortable exposing their confidential marketing strategies and campaigns on open platforms. The term “In-House Enterprise Walled Garden” refers to an approach where businesses establish their own AI infrastructure, data systems, and analytics capabilities internally. Instead of relying solely on external AI platforms or solutions, organisations develop their AI capabilities to create a closed ecosystem within their marketing operations. Here are some key considerations for implementation:

Also Read: Unleashing the power of specialised AI startups in the era of generative AI

Business alignment and data management

Firstly, alignment with business objectives is crucial. The LLM should be designed to support specific marketing goals, whether that’s customer engagement, conversion rate optimisation, or something else entirely. Next is data management. LLMs are data-driven by nature and necessitate a robust, secure, and compliant system for handling vast volumes of data.

Integration and scalability

Integration capabilities are another significant factor. The LLM must seamlessly integrate with other tools and systems in the tech stack, including CRM, analytics platforms, and more. Scalability is also essential. As the business grows, the LLM needs to scale along with it, accommodating larger data volumes and increasingly complex analytical tasks.

Privacy, compliance and maintenance

Additionally, privacy and compliance concerns cannot be ignored. With data privacy regulations becoming increasingly stringent, the LLM must be designed to comply with all relevant laws and guidelines. Lastly, the ongoing maintenance and support of the LLM are important considerations. Regular updates and improvements will be necessary to keep the system running smoothly and to adapt to changing marketing needs and technologies.

By adopting the In-House Enterprise Walled Garden approach, businesses gain greater control and customisation over their AI initiatives. They can tailor AI algorithms and models specific to their unique marketing needs, aligning them closely with their business objectives and strategies. This level of customisation enables organisations to leverage AI in a way that seamlessly integrates with their existing marketing systems and processes.

Implementing the In-House Enterprise Walled Garden approach requires a dedicated investment in talent, infrastructure, and ongoing development. Organisations need to build a team of skilled AI professionals who can develop, maintain, and optimise AI capabilities internally.

Final thoughts

Artificial Intelligence has emerged as a transformative force in the marketing industry. Its ability to analyse data, personalise experiences, and optimise strategies has revolutionised the way businesses approach marketing. From enhanced customer segmentation to AI-powered chatbots, predictive analytics, and automated content generation, AI is reshaping every aspect of marketing.

The future of AI in marketing holds exciting possibilities, promising hyper-personalisation, voice-activated marketing, and immersive experiences. By leveraging AI effectively, businesses can unlock new levels of customer engagement, conversion rates, and ROI.

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Editor’s note: e27 aims to foster thought leadership by publishing views from the community. Share your opinion by submitting an article, video, podcast, or infographic

Join our e27 Telegram group, FB community, or like the e27 Facebook page

Image credit: Canva Pro

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At e27, we believe in fostering thought leadership and providing a platform for talented individuals to share their expertise and unique viewpoints. The Contributor Programme serves as a channel for passionate voices to contribute to the broader conversation surrounding entrepreneurship, technology, and innovation.

We are thrilled to present the weekly compilation of articles published through our Contributor Programme. This curated collection brings together a wealth of diverse and insightful perspectives from our community, offering a fresh lens on emerging trends, industry insights, and thought-provoking ideas.

Why Japanese startups are interested in the Southeast Asian market

“South East Asia offers a great opportunity for Japanese startups to expand. With a large population, supportive governments, and low costs of entry, the region is an attractive proposition for ambitious startups looking to tap into the potential of its markets. Japanese startups are increasingly taking advantage of the region’s opportunities, propelling the growth of their businesses and strengthening Japan’s regional influence.”

Marketing and Operations Director at Rainmaking, Meghan Bridges’ byline explores the rising interest of Japanese startups in the Southeast Asian market. It also showcases the success stories of Japanese startups in Southeast Asia, highlighting their strategies and key growth factors and offering insights into the challenges and opportunities faced by Japanese startups expanding into this dynamic market.

Sustainable solutions for energy-intensive data centres in humid Singapore

“Prioritising sustainability in operations and regulations is crucial for reducing data centres’ carbon footprint and energy consumption. By embracing sustainable practices, data centres can reduce costs and improve efficiency and contribute to a more sustainable future for all. Data centre operators and policymakers can help shape a more eco-conscious and responsible digital landscape in Singapore and beyond.”

Chief Commercial Officer at Iceotope Technologies, Nathan Blom’s byline introduces sustainable solutions for energy-intensive data centres in humid Singapore, specifically addressing the challenges of maintaining efficient operations in a high-humidity environment. It also delves into innovative approaches aimed at reducing energy consumption, optimising cooling systems, and maximising the utilisation of renewable energy sources.

How to build customer trust with improved data privacy

“Protecting customer data privacy is paramount for cultivating consumer trust and ensuring business operations run smoothly. A brand that conveys strong security measures is more likely to foster customer trust and develop a solid reputation.”

Features Editor at ReHack, Zachary Amos’s byline emphasizes the importance of data privacy in building customer trust. It also explores strategies for enhancing data privacy practices, including transparent data handling, obtaining informed consent, implementing secure storage, and complying with regulations.

AI revolution in marketing: Transforming the way businesses connect with customers

“Artificial Intelligence has become a transformative force in various industries, and marketing is no exception. With its ability to analyse vast amounts of data, personalise experiences, and predict consumer behaviour, AI is revolutionising the way businesses approach marketing strategies.”

Expert Venture Builder, Strategic Advisor at KingSwap and Technicorum Holdings, Malcolm Tan’s byline delves into the AI revolution in marketing, highlighting how it is reshaping customer-business connections and transforming marketing strategies. It also explores the benefits of AI-powered tools and techniques, such as personalised recommendations, chatbots, and predictive analytics, in enhancing customer engagement and driving business growth.

The checkout revolution: Transforming transactions into brand experiences

“But a smooth end-to-end customer journey is not only within reach of the super apps with huge teams at their disposal. Retailers of any size should consider establishing strong partnerships with payment providers or platforms that can support them in establishing and automating a seamless end-to-end customer experience.”

Head of Sales (APAC) at Primer, Kailash Madan’s byline, explores how businesses are revolutionising the traditional checkout process to create memorable brand experiences and highlight the shift from transactional-focused interactions to customer-centric experiences that leave a lasting impression. The article delves into various strategies, such as seamless digital payments, personalised recommendations, and interactive technologies, that are transforming the checkout journey.

Breaking the myth: The reality of social entrepreneurs and their business approach

“Your social enterprise must also be able to put a clear offering in front of that banker. They get this if they pay this. But they get more if they pay more. The question is, ‘What’s in it for them?’ And the only way to answer it is to think about market value and business opportunity.”

Business Coach and Co-Founder of Impactified, Antoine Martin’s byline challenges common misconceptions surrounding social entrepreneurs and explores the realities of their unique business approach. It also sheds light on how social entrepreneurs balance social impact with sustainable business practices, debunking the notion that they prioritise one over the other.

Web3 needs novel prevention tools for novel attack vectors: AI saves the day

“The Web3 community must thus rethink threat detection and prevention. It’s high time to build and adopt innovative, problem-specific solutions. Leveraging AI and ML is crucial. But it also requires understanding Web3’s unique security concerns and where it currently stands concerning cybersecurity.”

Guest Lecturer at Sydney University, Luke Fitzpatrick’s byline explores the evolving landscape of Web3 and the need for innovative prevention tools to address emerging attack vectors. By harnessing the power of AI, Web3 platforms can enhance security measures and ensure a safer environment for users. The article also emphasizes the importance of staying ahead of novel attack vectors and leveraging AI as a key defence mechanism.

Embracing AI’s promise: Navigating the future of marketing

“As the dawn breaks on the digital age, marketers face a horizon gleaming with the promise of Artificial Intelligence. For Temus, an upstart in the fast-evolving business of digital transformation, the future of marketing is a captivating narrative — a story of transformation, unprecedented possibilities, and discerning navigation through uncharted territory.”

Director at Temus, Marcus Loh’s byline explores the transformative impact of AI on marketing, highlighting its potential for personalised experiences and improved campaign optimisation. The article also discusses the challenges and opportunities that arise with AI adoption, emphasizing the need for marketers to understand AI’s capabilities and ethical considerations.

Do cards have the opportunity to flourish in Southeast Asia’s digital payment services landscape?

“As the region continues to evolve, the adoption of cards has the potential to transcend limitations and redefine financial inclusion, providing consumers with convenience and security while fostering economic development. With the right mix of innovation, collaboration, and regulatory support, Southeast Asia can unlock the true potential of card adoption, empowering businesses and individuals.”

Founder and CEO of Ayoconnect, Jakob Rost’s byline examines the role of cards in the rapidly evolving digital payment services landscape of Southeast Asia. It also discusses the factors contributing to the growth of digital payments in the region and explores whether traditional cards can still thrive amidst the rise of mobile wallets and alternative payment methods.

Is generative AI the game-changer for productivity?

“As we integrate Gen AI more deeply into our lives, we must remain mindful of its limitations and potential pitfalls, striking a balance between leveraging the benefits of AI and preserving the irreplaceable value of human ingenuity.”

Senior Content Strategist at Insignia Ventures Partner, Paulo Joquino’s byline explores the potential of generative AI in revolutionising productivity across various industries. It also delves into how generative AI technologies, such as natural language processing and computer vision, can automate and augment creative tasks, streamline workflows, and generate novel solutions.

How to create harmony between work and life as a Founder

“Achieving work-life balance is an ongoing process that requires regular assessment and adjustment. It’s important to be kind to yourself and prioritise self-care as you work towards achieving a healthy balance between your work and personal life. And yes, I have pivoted many times!”

Co-Founder and Managing Partner at PeopleKult, Ivan Palomino’s byline provides insights and practical tips on achieving a healthy balance between work and personal life for founders. It also explores the challenges faced by founders in managing their time and priorities effectively and offers strategies for setting boundaries, practising self-care, and fostering a supportive work environment.

Rewriting the creation process of ad creatives using generative AI

“I want to highlight that generative AI tools provide value to the creative production process not so much by replacing the human, mechanical efforts involved in asset creation but rather by mitigating the risks associated with human biases when determining which specific creative elements outperform others because these processes will be led by unemotional machines.”

Founder at Atria, Ray Jang’s byline explores the transformative potential of generative AI in revolutionising the creation process of advertising creatives. It also delves into how generative AI technologies can automate and enhance the ad creation process, enabling marketers to generate unique and compelling content at scale.

Discover TikTok Shop: The ultimate shopping-entertainment experience in Vietnam

“Experts say that social commerce is the future of retail. The combination of social media, video, and e-commerce has made shopping more fun and interactive. This is a two-way interaction between buyers and sellers, instead of one-way from sellers like current e-commerce platforms.”

Co-Founder and CEO at Adamo Software, Kevin Nguyen’s byline introduces TikTok Shop and explores how it is revolutionising the shopping experience in Vietnam. It also highlights the unique combination of entertainment and e-commerce on the TikTok platform, allowing users to discover and purchase products seamlessly.

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Editor’s note: e27 aims to foster thought leadership by publishing views from the community. Share your opinion by submitting an article, video, podcast, or infographic

Join our e27 Telegram group, FB community, or like the e27 Facebook page

Image credit: Canva Pro

The post Contributor corner: Weekly round-up of e27’s latest insights and perspectives appeared first on e27.

Think about this: You have spent innumerable hours setting up an Instagram-worthy online store with eye-catching photos, your logo is perfect, and the products are amazing. But it’s the moment of truth, and your customer has abandoned the checkout.

Did you make sure everything has been covered so that your customer doesn’t get frustrated? Often it’s the finer details that could dilute your brand experience. 

For any online business, driving conversions and building a loyal customer base are essential ingredients for long-term sustainable growth. A smooth checkout is an important part of this, but it has not typically been regarded as part of the brand identity.

That’s now changing, with payments no longer seen as the ‘last stage’ of the customer transaction but as the beginning of a post-purchase customer experience and the perfect opportunity to cultivate a stronger brand relationship.

Payments and brand trust go hand in hand

Increasingly, shoppers expect payments on their own terms. This was a key finding of our recent survey of 2,000 Singaporean shoppers and 300 e-commerce leaders to discover their key pain points – from both sides of the checkout.

The rapid growth of digital payment methods means today’s shopper is more discerning about how they pay. Shoppers are spoiled for choice and will move on if they cannot pick a convenient or trusted payment method at the checkout. 76 per cent of Singaporean shoppers reported that they would abandon their cart if their preferred payment method is not offered. 41 per cent will also walk away if the payment process is too complicated.

Also Read: How interoperability can spark a payments revolution in SEA

That payment experience isn’t only about reducing abandoned shopping carts. It can impact the future use of a brand or product. For example, more than half of survey respondents regarded payment security as a factor that would help them decide if they would like the visit an online store again. Payments have evolved from a last-mile transaction feature to an important element that can alter the consumer’s view of the brand.

Merchants are also becoming increasingly aware of the importance of the payment process, with 99 per cent of retailers surveyed reporting to have made some type of improvement within the past 12 months. Retailers who are taking action to improve their payment services are already beginning to see the benefit.

41 per cent of those who are bolstering their systems reveal that taking foreign payments has seen an increase in revenue, and more than a third, 37 per cent, are reporting higher sales levels through widening the choice of payment options. These improvements to the bottom line are significant.

But while expansion of payment methods is certainly a wise move within the fragmented ASEAN payments landscape, retailers must also address existing friction at the checkout – such as payment failures – to ensure they can convert leads into sales and build brand stickiness for the long term.       

Brand stickiness is becoming harder to obtain with more and more online shoppers made up of digital natives who are skilful at finding alternative places to shop.

The importance of a great online customer experience was reiterated in a recent report from McKinsey, which found that Gen-Zs, in particular, cannot be tied down to a brand and are always open to switching. Similarly, according to Edelman’s recent trust barometer, for this new generation, the purchase is often the starting point for the brand relationship and not the final step.

They’re driven first by the product, with 78 per cent of Gen Z’s reporting uncovering and discovering things about a brand after they make a product purchase. In this sense, these days, the customer journey is less of a funnel and more of a loop, with positive experiences during and post-purchase just as important as a satisfactory experience.

The customer journey extends beyond the checkout

When asked to list their top pain points in the online shopping experience, consumers were crystal clear on where retailers are ‘not delivering’, with five of the top seven complaints relating to delivery, fulfilment or returns. The high delivery cost was noted as the top pain point with 61 per cent of consumers, who also cited it as one of the top reasons they will abandon their cart right before making payment.

Also Read: Thrive amid business uncertainties with a reliable payment partner

In the same thread of pain points, delivery delays lost packages, and unfavourable returns policies are also followed up as consumer concerns. It’s clear that logistical issues are closely related to customer satisfaction and the overall perception of a brand. Similarly, the seamlessness of payments extends beyond the sale, as chargebacks, refund requests, rewards, and cashback are all part and parcel of the payment, delivery, and fulfilment experience.

To remove some of the friction felt by consumers, merchants should look at the consumer journey holistically – beyond the point of sale.

Besides engaging reliable logistics partners to ensure the fulfilment of parcels, high costs can be worked into payment plans through annual fees or subscription fees for shoppers to ease the pressure of one-off high costs and reduce the risk of cart abandonment.

Chargebacks and refunds due to failed deliveries create administrative work for businesses and stress for consumers. Thinking of checkouts not as the final stage of the transaction but rather as the start of the journey towards parcel fulfilment and long-term retention will help businesses prioritise these essential elements of a good customer experience.

Retailers are upping their game, with Shoppee recently promising returns to be processed within two and a half days from an expanded network of 112 drop-off points. Big players are setting the expectations, so it’s clear that improving service levels is going to be key going forward.

Overall, as the e-commerce market matures, these expectations will only continue to grow. Consumers have more choices when shopping online and hence are more empowered to step away when their needs are not met.

But a smooth end-to-end customer journey is not only within reach of the super apps with huge teams at their disposal. Retailers of any size should consider establishing strong partnerships with payment providers or platforms that can support them in establishing and automating a seamless end-to-end customer experience.

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In 2019, a multi-author report flagged over 34,000 poorly-coded smart contracts, which put over US$4 million at risk across protocols on Ethereum. Web3 stakeholders have thus put an almost obsessive focus on clean and bug-free code. They’ve invested massively in security audits, formal verifications, bug bounties, and other ‘hands-off’ methods. 

However, researchers and experts from the Forta Network community point out that robust code isn’t enough for optimal Web3 security. Most exploits have nothing to do with code. They’re market-driven and target components beyond the developer or project owner’s control: third-party oracles, APIs, frontends, private keys, etc. And a ‘hands off’ approach doesn’t work for this reason. 

There’s merit to this claim. It’s further evidenced by reports from firms like Immunefi and Blockchain Security Alliance which revealed that Web3 projects lost over US$3.5 billion to hacks, scams, and breaches in 2022 — a more than 50 per cent increase vis-à-vis 2021. And besides that, the Web3 ecosystem witnessed several high-profile crashes and insolvencies like Terra and FTX, jeopardising trust and confidence.

The Web3 community must thus rethink threat detection and prevention. It’s high time to build and adopt innovative, problem-specific solutions. Leveraging Artificial Intelligence (AI) and Machine Learning (ML) is crucial. But it also requires understanding Web3’s unique security concerns and where it currently stands concerning cybersecurity.

Panic mode and pause the protocol

Most Web3 projects enter into panic mode whenever they see any imminent threat. Their knee-jerk response in such scenarios is to ‘pause the protocol.’ Researchers at the Imperial College of London found that over 50 per cent of the 180+ smart contracts breached between 2018 and 2022 had useless pause functionalities.  

It currently takes around 24 hours to invoke a pause. That’s too slow, significantly, as hackers constantly improve their methods and processes. 

Also Read: How layer-2 rollups boost Ethereum’s scalability for broader Web3 adoption

Protocols usually have to pause everything since they lack targeted mechanisms. It’s a user experience nightmare that affects even legitimate participants for no reason. And this doesn’t help Web3’s goal of bolstering security for long-term, mass adoption.

The one-size-fits-all approach to Web3 threat prevention needs to be revised because each layer of the tech stack has different security requirements. Likewise, each alternative solution has its pros and cons. 

Projects thus need to choose solutions that best suit their risk appetite while prioritising user expectations. And in doing so, transparency is crucial since it enables users to make informed decisions. 

Projects must consider various factors while determining their threat prevention and mitigation strategies. For example, the adopted method should be feasible to increase the cost and friction for users. It’s essential to preserve composability, decentralisation, and robustness without introducing too much complexity or the scope for censorship. And above all, the solution should utilise the latest technologies for maximum potential.

Web3’s unique security concerns

Blockchain ledgers are often public, so anyone can know what each account holds. Vulnerabilities like smart contract bugs or compromised external dependencies can collapse entire financial systems due to knock-on effects. This underlines the unique nature of cybersecurity concerns in Web3. 

Though Web3 eliminates several attack surfaces common in Web2—like corruptible intermediaries, for example—it’s not 100 per cent attack-proof because there are blockchains underneath. On the contrary, Web3 introduces a range of new attack types, such as 51 per cent Attack, rug pull, reentrancy attack, etc. And the incentives to attack Web3 protocols are also more significant than in Web2.

In Web2, attacks like phishing happen via text messages or emails that trap users into sharing personal and identifiable information. In Web3, however, entering malicious sites or approving random EOAs can cause immediate and irreversible financial loss since hackers get access to users’ assets. The stakes are thus high both for attackers and their victims.

Another key challenge for Web3 security is the speed at which hackers invent unforeseen ways to exploit blockchain-based systems. For instance, while Web3 projects increasingly explored cross-chain bridges as a means to better interoperability, hackers managed to breach them and steal over US$1.4 billion. Rapid response and constant vigilance are mission-critical for robust Web3 security.

Threat prevention with AI and ML

AI is more than a cheeky technology coming to take away jobs and spread misinformation or fake news in the media. It’s Web3’s security lifeline, enabling tools to protect millions and billions of dollars worth of user funds. 

Coupled with ML, AI is a critical component of the efficient monitoring systems that leading audit firms like OpenZeppelin, ChainSecurity, MixBytes, etc., highly recommend. 

As Dr. Neha Narula from the MIT Media Lab says, “Machine learning can be used to predict and prevent future exploits. By analysing patterns and trends in data, it can identify potential vulnerabilities before they are exploited. This allows developers to take proactive measures to mitigate these vulnerabilities, making Web3 projects more secure for users.”

Moreover, Web3 attacks aren’t usually atomic — they don’t happen in a single block. It’s thus essential to prioritise runtime monitoring, which can increase the chances of dodging attacks. This adds further weightage to the case for real-time security measures in Web3. 

Also Read: Creator economy: How Web3 is changing the game for content creators

Web3’s threat detection capability has improved significantly in recent years, thanks to various innovative projects like Forta, Halborn, and Cyware Labs. From advanced pen-testing and smart contract auditing to real-time ‘Attack Detector’ bots, these projects bolster security vigilance and due diligence in Web3.  However, stopping identified threats’s still a long way to go. 

Flashbots, Mem pools, and zKProofs

Frontrunning exploit transactions was a viable defence against Web3 attacks in the past. But the rise of private mem pools, Flashbots, high-rate L2s, and zkProofs has made this method increasingly challenging and effective. Coordinating block builders and relayers is another option, though temporary. 

That’s where AI-powered automated pausing mechanisms or ‘circuit breakers’ can come in handy, similar to legacy stock markets. They can trigger security responses based on data from monitoring systems, seamlessly connecting prevention and action. This was unthinkable in Web3 so far, but not anymore. 

Further, innovating ways to implement automated circuit breakers specifically, not globally, can finally resolve the utter helplessness with which Web3 projects face attackers today. 

It’s a long game. But with Web3 poised to become a US$6 trillion market by 2030, there’s a good reason to play it well. After all, securing the Internet’s next paradigm and global user community is a question. 

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Singapore-based AI marketer Needle has closed a US$1.2 million oversubscribed pre-seed round led by local accelerator Iterative.

Ethos Fund and Goldbell Financial Services, besides angels, including Rainforest Founder JJ Chai, also participated.

The startup will use the funds to expand its team, including data scientists, AI trainers, and engineers.

“It’s never been easier to start a business, and it’s also never been harder to grow one. New brands need to find customers on multiple channels and transact with them on multiple platforms. On average, they are using over ten tools which is also a lot of data to make sense of and a lot of decisions to make. At Needle, we want to help founders cut through the noise, make sense of their data, and point them where to focus,” said Kiyan Foroughi, CEO and Co-Founder of Needle.

Also Read: AI revolution in marketing: Transforming the way businesses connect with customers

Needle was founded by seasoned e-commerce entrepreneurs and operators, including Foroughi. A serial entrepreneur, Foroughi previously founded Electric8. He is also a seed investor at Ometria. He was earlier Managing Director at Shopee (Sea Group).

It is an end-to-end AI marketer for the founders of rising brands, which are often resource-constrained and spend up to US$3,000 monthly for generic marketing campaigns with little to no ROI.

The startup begins by helping founders generate ideas, determines business and marketing priorities, and then provides personalised recommendations for effective tactics. From creating emails to preparing and launching ad campaigns, Needle streamlines the process using generative AI.

E-commerce brands first connect data from platforms like Shopify, Google Analytics, and Facebook Ads to Needle, which then sets goals and personalised tactics. The tactics recommended are taken from a database of proven marketing strategies and campaigns used at the world’s largest brands.

Also Read: How Shopee uses AI, data to build a marketing strategy that suits changes in user behaviour

The platform then takes action quicker and uses generative AI to create marketing campaigns and assets.

According to the startup, early customers who have implemented at least three Needle tactics have grown their baseline revenue to 1.5x over five months.
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A few weeks back, the world’s largest advertising agency, WPP, announced an AI partnership with NVIDIA. The partnership outlines that NVIDIA will empower creative advertising production by using exclusive visual content from Adobe Firefly and Getty Images created by NVIDIA Picasso, a foundry for custom generative AI models for visual design, and will be provided exclusively on behalf of WPP’s advertising clients.

This recent news underlines how generative AI has emerged as a powerful tool that is revolutionising the field of ad creatives among the world’s largest agencies and enterprises. By leveraging advanced algorithms and machine learning, generative AI enables marketers to produce innovative and high-performing advertising content with unprecedented efficiency.

As the cost to produce content trends to zero and the organic discovery becomes ineffective, the ability to attract attention towards various forms of content will become harder and more crowded. This cost dynamic increases the necessity of paid advertising to find new customers and realise meaningful traction, which is why we need to uncover how generative AI impacts marketers so that every marketing team can include it as a part of their toolkit.

Also Read: Unleashing the power of specialised AI startups in the era of generative AI

Before diving into the impact of generative AI on ad creatives, what is the most important objective of an ad creative production and testing process? The purpose of an ad creative production and testing process is to ensure the availability of fresh and viable creatives before active creatives approach their performance inflection point. Put simply, marketers need to launch new ads before their previous ads degrade and reach creative fatigue.

As a result, generative AI is a real breakthrough for advertising, given its ability to preempt creative fatigue with minimal cost. Tools like Runway, StableDiffusion, and Midjourney enable marketers to experiment with various iterations that were once of high complexity and cost, like video, and once commanded by an army of designers but now can potentially be covered by a SWAT-like team of two or three persons.

Depending on your perspective on this new process, the definitive value of using such AI tools is that it eliminates the need to understand the why behind a successful outcome, as we can now use processes like image inversion to feed the AI with your competitor’s assets, for example, to help create remarkably similar results and quickly cycle through various iterations until you get the campaign results that you want.

That said, the most important point that I want to underline here is not that generative AI will lead to substantial cost savings but that it is likely to produce outperforming advertising results that defy conventional human intuition.

Also Read: How to unlock new horizons with generative AI

For example, the critical value of tools like MidJourney and Stable Diffusion is to decouple the ideation process from the arbitrary aspects of advertising creatives that teams often believe lead to the success of their ad campaigns. By pairing MidJourney and Stable Diffusion with vast datasets and sophisticated algorithms, generative AI algorithms will identify subtle patterns and correlations that humans may often overlook.

This inherent capacity to uncover hidden insights enables marketers to reach highly targeted segments and achieve optimal campaign performance. Consequently, the value of generative AI is in its ability to push beyond traditional boundaries and consistently deliver superior results with significantly less effort.

For smaller and less resourced teams, the future of advertising production might be human creators who are advanced in procedurally parsing existing creatives and really good at generating high-quality variants from those components. This future is exciting because it is more likely to level the playing field between bigger and smaller advertising teams.

Ultimately, I want to highlight that generative AI tools provide value to the creative production process not so much by replacing the human, mechanical efforts involved in asset creation but rather by mitigating the risks associated with human biases when determining which specific creative elements outperform others because these processes will be led by unemotional machines.

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