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Jun Pham on curiosity, creativity, and making tech human

e27 has been nurturing a supportive ecosystem for entrepreneurs since its inception. Our Contributor Programme offers a platform for sharing unique insights. As part of our ‘Contributor Spotlight’ series, we shine a spotlight on an outstanding contributor and dive into the vastness of their knowledge and expertise.

In this episode, we feature Jun Pham, a B2B marketeer currently working at Alano.ai. The platform was built for people like her who did not come from tech but wanted to break into it one step at a time.

Jun has a knack for translating complex ideas into something everyone can understand and maybe even enjoy. Her work lives at the intersection of creativity, curiosity, and a whole lot of “let’s figure it out.”

She describes herself as “an explorer who loves to play with words and live with unlimited creativity,” bringing both strategy and flair while thriving in the tech world.

In the sections below, she reflects on her journey, the lessons she’s learned, and what keeps her going.

How I got here

Starting my journey in a small B2B tech startup changed everything. It threw me into the fast-paced, high-energy world of innovation where I learned to love the chaos, curiosity, and creativity that come with building something from scratch.

Before this, I worked mostly with advertising agencies, and with more creative, aesthetic kinda concepts. Going in “all-tech” was never in my mind before, but I am grateful that I get to overcome my fear of this new aspect of my life.

If I had to explain my work to a kid

I help people understand complicated tech stuff in simple words, like explaining it to a 5-year-old, too. I started out as a total non-tech girlie, so I know how confusing it can be. Now, I break it down in a way that feels human and approachable, not robotic.

Lessons learned along the way

One of the biggest lessons I have learned is that tech is not actually hard. It just speaks a different language. Once you find your own way of “talking” to it, everything starts to click.

Also Read: Inside SEA’s new work culture: A look into Vietnam’s hybrid transformation

What more people should notice

Work-life balance, especially in startups. We talk a lot about scaling fast, but not enough about sustaining well. Building systems that are efficient and human-centred should be part of every startup’s growth story.

Why I write

Creativity and curiosity are at the heart of it. e27 gave me the space to put my thoughts into words and explore tech from a more human angle.

My process starts with a spark: something I notice, question, or feel strongly about, and I just follow that curiosity until it turns into a story.

My advice for aspiring thought leaders

Write like you talk, then edit like you mean it. Clarity always beats complexity. The best communicators don’t try to sound smart—they make others feel understood.

What drives my curiosity

I’m curious about how fast we move through micro-trends–obsessing one day and forgetting the next. I’m fascinated by how this constant “refresh” shapes our culture, attention span, and sense of identity.

Influences that shaped me

Honestly, myself and the people around me. Every conversation, every experience leaves something behind. I see inspiration in the small things: how people think, talk, and create.

Take a look at Jun Pham’s articles here for more insights and perspectives on her expertise.

Are you ready to join a vibrant community of entrepreneurs and industry experts? Do you have insights, experiences, and knowledge to share?

Join the e27 Contributor Programme and become a valuable voice in our ecosystem.

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Fed cuts rates but warns against complacency: Bitcoin and altcoins react sharply

The recent Federal Reserve policy decision has injected a fresh wave of caution into global financial markets, and the cryptocurrency sector has not been spared. On the surface, the Fed delivered exactly what many had anticipated: a 25 basis point rate cut, accompanied by the early termination of quantitative tightening. Beneath that veneer of predictability lies a more complex and nuanced message, one that has unsettled investors across asset classes.

Chair Jerome Powell’s explicit pushback against the market’s assumption of another rate cut in December has recalibrated expectations, triggering a repricing of risk and a retreat from speculative positioning. This recalibration is now rippling through equities, bonds, commodities, and digital assets alike, underscoring just how tightly crypto remains tethered to macroeconomic sentiment despite its purported independence.

Powell’s assertion that further easing is not a foregone conclusion marked a clear departure from the dovish momentum that had built over recent weeks. Until this week, markets had priced in near certainty of a December rate cut, with implied probabilities hovering close to 100 per cent. That confidence has now evaporated, with the odds collapsing to roughly 60 per cent. The shift has immediate consequences.

Treasury yields responded sharply, with the two-year US note jumping 11 basis points to 3.6 per cent, while the benchmark 10-year yield climbed 9 basis points to 4.07 per cent. Even the long-end 30-year yield rose, advancing 7 basis points to 4.61 per cent. Higher yields increase the opportunity cost of holding non-yielding assets like Bitcoin and gold, both of which retreated in the wake of the announcement. Spot gold fell 0.6 per cent to close at US$3,929.36 per ounce, while the crypto market as a whole shed 1.22 per cent over the past 24 hours.

Equity markets also reflected this growing unease. Although the Nasdaq managed a modest 0.6 per cent gain, the broader S&P 500 ended flat, and the Dow Jones Industrial Average slipped 0.2 per cent. More telling than the headline moves was the underlying volatility sparked by signs of internal division within the Federal Open Market Committee. When central bank consensus fractures, markets lose their anchor.

This uncertainty manifests not just in price swings but in a broader retreat from risk, which explains why crypto, despite its unique technological underpinnings, continues to trade in close correlation with tech-heavy equities like the Nasdaq 100. Over the past 24 hours, Bitcoin’s price action showed a 0.61 correlation with QQQ, reinforcing the idea that macro drivers, not on-chain fundamentals, are currently setting the tone.

Also Read: Between diplomacy and panic: Markets navigate a fractured narrative

Within the crypto ecosystem, the reaction unfolded across three distinct but interconnected layers: macro policy impact, derivatives behaviour, and altcoin-specific dynamics. In the first layer, the Fed’s hawkish tilt acted as the primary catalyst. By tempering expectations for further easing, Powell effectively removed a key tailwind that had supported risk assets throughout the latter half of the year.

Traders who had positioned for a dovish December were forced to unwind those bets, leading to a broad-based pullback. Bitcoin’s seven-day Relative Strength Index now sits at 55.36, indicating neutral momentum, but market psychology tells a different story. The Fear & Greed Index has dipped to 34, signalling that fear, not greed, is dominating sentiment. This emotional backdrop often precedes either capitulation or consolidation, depending on what policymakers do next.

The second layer derivatives activity offers a more nuanced picture. Perpetual futures volume surged by 9.15 per cent to US$1.62 trillion, suggesting heightened trader engagement. This surge was not accompanied by bullish conviction. Instead, average funding rates collapsed by 81.63 per cent to just 0.000974 per cent, a clear sign that leveraged long positions are being scaled back. Funding rates, which reflect the cost of maintaining long or short positions in perpetual contracts, serve as a real-time gauge of market sentiment.

When they turn deeply negative or collapse toward zero, it typically indicates that traders are either hedging or actively shorting, rather than chasing upside momentum. Open interest inched up by 2.33 per cent, hinting at new positions being opened, but without liquidation data, it is difficult to assess whether this reflects fresh shorts or defensive longs. What is clear is that the derivatives market is not signalling a return to aggressive risk-taking. A rebound in funding rates would be needed to confirm any meaningful shift back toward bullish positioning.

The third and most volatile layer lies in the altcoin segment, where event-driven sell-offs have amplified broader macro weakness. Tokens like Flamingo (FLM) and Concordium (CCD) experienced sharp declines of 5.59 per cent and 19.04 per cent, respectively, driven by idiosyncratic factors rather than systemic ones. In Flamingo’s case, the impending delisting from Binance, effective November 12, has triggered a wave of preemptive selling.

For Concordium, the drop appears to be classic profit-taking after an extraordinary 428 per cent rally year-to-date. Similarly, Giggle Fund (GIGGLE) corrected by 19.59 per cent following a staggering 541 per cent monthly surge. These moves highlight a recurring theme in crypto markets: low-liquidity assets are especially vulnerable to sharp reversals when macro conditions turn unfavourable. Without deep order books or institutional backing, even minor shifts in sentiment can trigger outsized price swings.

Also Read: Marketing’s next big challenge? Making AI feel human

Looking ahead, all eyes will turn to Friday’s US nonfarm payrolls report. This data point carries outsized importance because it will offer the first major labor market signal since the Fed’s latest decision. Strong employment numbers could reinforce Powell’s cautious stance and further diminish expectations of a December cut, deepening the risk-off mood. Conversely, a softer print might revive hopes for additional easing, potentially stabilising or even reversing recent losses.

For Bitcoin, the technical picture adds another layer of intrigue. With a market capitalisation of US$3.74 trillion, the leading cryptocurrency is currently testing the 78.6 per cent Fibonacci retracement level, a key support zone closely watched by both algorithmic and discretionary traders. Whether this level holds will likely depend less on on-chain metrics and more on the macro narrative that emerges from the jobs data and subsequent Fed commentary.

In sum, the current crypto dip is not an isolated event but a reflection of broader macro caution. The Fed’s decision to cut rates while pushing back against further easing has created a policy gray zone in which markets must navigate conflicting signals without clear guidance.

In such an environment, risk assets tend to consolidate or correct until a new consensus forms. Derivatives data suggests that traders are not yet capitulating but are certainly treading carefully. Altcoins, meanwhile, remain exposed to both macro headwinds and project-specific risks.

The path forward hinges on whether incoming economic data validates the Fed’s caution or forces a pivot back toward accommodation. Until then, expect volatility to persist, and sentiment to remain fragile.

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.

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Ex-Tesla AI team’s IndustrialMind raises US$1.2M to bring a decision-making brain to factory floors

IndustrialMind CEO Steven Gao

IndustrialMind.ai, an AI company founded by former Tesla manufacturing AI leaders, has announced the closing of a US$1.2 million pre-seed funding round.

Investors include Antler, TSVC, Plug and Play, and Gang Song, who previously served as Tesla’s Vice President of Manufacturing.

Also Read: How AI and automation are shaping the future of work

The capital injection is earmarked to speed up the development and customer deployment of IndustrialMind.ai’s flagship offering, the “AI Engineer”.

The startup was founded by Steven Gao, Jeff Wang, and Justin Li, who built an AI manufacturing platform that successfully tackled crucial bottlenecks within Tesla’s Gigafactories. The team now translates that “decision-making brain” to the broader industry.

Despite widespread adoption of digital tools and robotics on factory floors, converting raw data into timely operational decisions remains challenging, particularly during complex new-product launches and rapid production ramps.

IndustrialMind.ai builds an AI Engineer for manufacturing that understands engineering drawings and production data, recommends and validates process changes, and lifts yield, throughput, and overall equipment effectiveness.

Its functions include:

  • Process automation: The AI understands drawings and automatically drafts bills of materials (BOMs), routings, and should-cost quotes, turning the “drawing to process” step into a task completed in minutes.
  • Real-time monitoring: On the production line, the system continuously monitors production, predicts and detects anomalies, and proposes engineer-ready adjustments to maintain process stability and quality control.
  • Root-cause analysis: When issues arise, a multi-agent engine blends operational data and knowledge to quickly surface fixes and automatically generate required reports, significantly closing the loop faster than traditional manual methods.

Also Read: Tesla plans multibillion-dollar EV plant in India

IndustrialMind.ai, which supports manufacturers across the Asia-Pacific and North America regions, is already deploying its “AI Engineer” with industry leaders such as tesa, Andritz, and Siemens.

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How AI and automation are shaping the future of work

The future of work is here — are you ready?

Let’s be real — AI and automation aren’t coming; they’re already here, shaking up industries faster than we can say “machine learning”. 

Southeast Asia, one of the world’s fastest-growing digital economies, is witnessing a massive shift in how we work. Businesses aren’t asking if they should adopt AI anymore. They’re scrambling to figure out how fast they can integrate it before they get left behind.

As someone who’s been deep in the AI and automation space — running People’s Inc. 360, building Royal Visionary Society, and working on Seraphina AI — I’ve seen first-hand how AI is revolutionising the way we work, scale businesses, and reclaim time.

But here’s the thing: The real conversation isn’t about AI replacing jobs. It’s about how we can make AI work for us — to create a more flexible, efficient, and empowered workforce.

AI and automation: Transforming the nature of jobs

Let’s address the elephant in the room: Will AI take away jobs? The short answer is not in the way most people fear.

The reality? AI isn’t here to replace humans — it’s here to amplify human potential. Businesses leveraging AI aren’t just automating tasks; they’re freeing up talent for higher-value work.

AI-powered workflows: Enhancing, not replacing

At People’s Inc. 360, we integrate AI into everyday operations to automate repetitive tasks, allowing our teams to focus on creativity, strategy, and problem-solving.

Some of the biggest game-changers in AI automation today include:

  • ChatGPT (OpenAI): Your go-to for automating communication, customer support, and content generation.
  • Zapier: The connect-everything automation tool that links apps and streamlines workflows – no coding needed.
  • Notion AI: Turns messy thoughts into structured documentation and brainstorms like a pro.
  • People’s Inc. Unify: Our own marketing automation tool that helps businesses scale effortlessly.
  • Seraphina AI: An AI-driven digital twin designed to help entrepreneurs and businesses automate decision-making and daily workflows.

The takeaway? AI isn’t the enemy — it’s the ultimate sidekick for scaling operations, optimising workflows, and unlocking human creativity.

The hybrid work revolution: A blueprint

The hybrid work model is no longer an experiment — it’s the default.

At People’s Inc. 360, we built our entire company culture around flexibility, automation, and gamification to keep remote teams engaged and productive.

What makes an AI-powered hybrid model effective?

  • Work-from-anywhere flexibility: Because let’s be honest, if we’ve learned anything post-pandemic, it’s that work isn’t a place — it’s an experience.
  • Gamification and engagement: We use a quest-based system where tasks become missions, making work more interactive (and honestly, more fun).
  • AI-powered automation: AI takes care of the busy work so employees can focus on innovation and growth.
  • Digital collaboration tools: Platforms like Slack, Microsoft Teams, and Trello integrate AI-driven workflows to eliminate inefficiencies.

The result? Less burnout, more productivity, and a team that actually enjoys their work.

Also Read: Transforming customer service: AI’s ‘artificial empathy’ holds the key

How AI helped me reclaim time and sanity (yes, sanity)

Let me get personal for a second.

When I first started integrating AI into my business, it wasn’t just about efficiency — it was about survival. Running multiple ventures, scaling People’s Inc. 360, and juggling countless responsibilities meant I was always on.

And then, life threw a curveball — divorce. If you’ve ever tried managing a business, personal stress, and mental exhaustion all at once, you know how overwhelming it gets. I was stretched thin, emotionally drained, and honestly? Running on fumes.

That’s when AI became more than just a tool — it became my lifeline.

I automated everything I could:

  •  Customer follow-ups? Handled.
  • Marketing emails? Set on autopilot.
  • Daily operations? AI-optimised.

The biggest game-changer? Seraphina AI — my AI-powered digital twin, helping me automate responses, manage tasks, and free up mental space.

And let me tell you — the difference was night and day. AI didn’t just help my business scale — it helped me breathe again.

This is why AI isn’t just about productivity hacks. It’s about creating space – for mental wellness, for relationships, and for the things that actually matter.

Preparing for the future: Re-skilling and up-skilling in an AI-driven world

With AI transforming industries, businesses must prioritise re-skilling and up-skilling initiatives to prepare their workforce for the future of jobs.

How can companies prepare?

  • AI training and literacy: AI isn’t going anywhere – employees need to learn how to work with it, not against it.
  • Encourage adaptability: The most valuable skill in an AI-driven world? Learning how to learn.
  • Develop soft skills: AI may take over technical tasks, but human creativity, problem-solving, and leadership? That’s irreplaceable.

Platforms like Coursera, Udemy, and LinkedIn Learning are already offering AI-focused courses – the smartest companies are investing in their people now.

Also Read: Bridging the gender gap in GenAI learning: Strategies to get more women involved

The gig economy and AI: A power combo

The gig economy is booming, and AI is fuelling its growth. Freelancers and solo-preneurs are leveraging automation to scale their businesses faster and smarter.

How AI supports the gig economy:

  • Automating repetitive tasks: AI takes over admin work, freeing up time for actual income-generating projects.
  • Enhanced client management: AI-powered CRMs like HubSpot and Zoho help freelancers manage multiple clients seamlessly.
  • AI-generated content and insights: Tools like Jasper AI and Copy.ai help entrepreneurs streamline content creation.

Platforms like Seraphina AI are designed to empower independent professionals, providing custom automation tools that help them work smarter, not harder.

What’s next? The future of work in 2025 and beyond

Looking ahead, the future of work will be defined by:

  • Seamless AI-human collaboration: AI as a co-pilot, not a replacement.
  • Hybrid and flexible work models: Work on your terms, not by outdated corporate rules.
  • AI-driven personalisation: Work experiences tailored to individual needs and productivity styles.

Businesses that embrace AI, automation, and continuous learning? They’ll be the ones thriving.

Final thoughts: Are you ready for AI-powered work?

AI isn’t a trend — it’s the new normal.

How is your company preparing for AI-driven work models? Are you leveraging automation to free up your time and focus?

Let’s shape the future of work together. 

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.

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From runway to revenue: Building investor-grade B2B startups in Southeast Asia

Southeast Asia’s startup ecosystem is in a phase of scrutiny and recalibration. It has entered a leaner phase. With scepticism about the region, early-stage capital is increasingly being directed toward deep-tech rather than consumer playbooks. Thus, founders are under pressure to stretch their runway and hit revenue milestones, and prove resilience.

As Edgar Hardless of Singtel Innov8 observes, “companies have had to tighten their belts and accelerate their plans to get to break even more quickly, so they can extend their runways”.

This raises the stakes for B2B startups, the bar is even higher, because enterprise clients demand governance, reliability, and repeatable processes from the outset.

The challenges facing B2B founders

B2B founders in Southeast Asia face a unique mix of scaling hurdles compared to their consumer counterparts:

  • Complex enterprise sales cycles: Unlike growth hacking tactics familiar in consumer tech, B2B founders must often traverse long, multi-stakeholder deals—especially in regulated verticals—requiring patience and structured pipelines.
  • Scaling across fragmented markets: From Indonesian provinces to Vietnam’s industrial zones, each market has distinct business norms and compliance regimes, slowing expansion.
  • Governance and investor reporting: structured updates such as monthly dashboards, KPI tracking, and board-ready narratives are now the norm. Lack of rigour here can stall next-round progress.

These are not hypothetical concerns. Founders who lack operational maturity (such as investor reporting cadence or sales playbook clarity) often see slower fundraising or flat valuations. Without maturity in finance, GTM, and operations, many promising startups risk stalling before they reach Series B.

Also Read: Investing for her future: Why women should take control of their finances

What VCs should look for in investment-ready founders

Savvy VCs now anchor their decisions on three pillars:

  • Operational readiness: Startups ready for scaling often present clear financial models, forecast cash flows accurately, manage burn with discipline, and offer budget variance analyses. Visibility into burn and runway signals founder discipline and investor stewardship. Tools like Visible emphasise that operational due diligence dives into internal systems and scalability capabilities, not just financials.
  • Enterprise sales muscle: Investors look for structured customer acquisition, for instance, defined sales stages, customer success workflows, churn management, and realistic funnel projections. Founders who can manage the sales lifecycle, from lead generation to contract renewal, impress as being evergreen-ready.
  • Regional scalability: Top VCs assess whether founders understand market segmentation and can localise value propositions across SEA’s diversity: logistics, compliance, pricing, and pay behaviours vary widely. Favourable founders build repeatable processes for expansion across markets. Those with go-to-market plans that account for market heterogeneity show depth and strategy. As one investor I speak to has observed, “investors fund predictability, not just potential.”

Best practices for operational excellence in B2B startups

Discipline Best practice
Investor reporting Beyond vanity metrics, founders should provide concise monthly dashboards that cover burn rate, customer segment performance, sales pipeline health, and runway projections, which keep investors both informed and aligned.
Customer success models B2B founders should embed regular touch-points, adoption tracking, and upsell frameworks to convert customers into recurring revenue. Structured onboarding and feedback loops are key to retention. 
Disciplined scaling Avoid unplanned market expansion. Pilot in one geography, measure KPIs, refine GTM model, then replicate. This phased scaling approach builds repeatable systems and lowers risk.

Where investors are concerned, for B2B startups, customer success is more than support, as it is the engine of sustainable economics. Structured onboarding, adoption tracking, and expansion frameworks turn contracts into recurring revenue.

This is where unit economics come alive: lifetime value (LTV) grows when customers renew, upgrade, or expand; acquisition costs (CAC) pay back faster when churn is low; and gross margins improve when service processes are efficient. By embedding customer success discipline early, founders create predictability in growth, the signal investors prize most.

Also Read: Empowering youth to drive sustainable change through finance and advocacy

These practices turn promising startups into investment-ready companies, reducing friction for VCs in later diligence rounds.

The rise of fractional advisory

One approach gaining traction is fractional advisory. Instead of relying solely on full-time senior hires, early-stage companies are increasingly turning to seasoned experts who step in part-time to deliver CFO, COO, or go-to-market leadership precisely when it’s needed most.

Firms such as Salamander Advisory are redefining what it means to professionalise early. By embedding financial discipline, operational clarity, and commercial structure long before startups reach scale, they help founders build investor-ready businesses with stronger foundations and lower risk profiles.

While many VCs concentrate their resources on their top performers, fractional advisory extends that lift to the rest of the portfolio: transforming promising ventures into resilient, execution-driven companies capable of sustainable growth.

Because in the end, capital ignites growth, but capability sustains it. In Southeast Asia’s B2B landscape, the true winners of the next decade will not be those who raise fastest, but those who scale with precision, discipline, and purpose.

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.

Enjoyed this read? Don’t miss out on the next insight. Join our WhatsApp channel for real-time drops.

Image courtesy: Canva

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