The Angle Podcast

Entrepreneur Marko Stavrou (“the Gen Z guy”) talks about starting Gen Link after a Standard Bank brief to connect young people to the bank’s ecosystem, and how the company has since worked with 50+ clients. He explains why many organisations overlook youth (low current spending power, short-term optimisation), and argues for data-led decisions grounded in direct customer research - using Capitec’s in-branch demand as an example. He details Gen Z channel behaviour (avoid email; view WhatsApp as personal; often don’t see services because of misfit distribution), and describes his team’s creator-driven research platform.

On media, Marko outlines why traditional media and conferences still offer credibility/validation versus noisy social channels, and how to help legacy publishers: “TikTokification” - short, engaging video on Instagram/TikTok that links back to articles - plus a positive, authentic storytelling lens. He predicts cross-pollination: investors and execs with visible personal brands, and more leaders documenting their journeys.

Chapters / timestamps

00:00 – Intro & summit context

00:45 – Who is Marko? “Gen Z guy,” what Gen Link does

01:25 – Why youth are overlooked (spend now vs long-term)

02:12 – Standard Bank brief → Gen Link’s first contract; 50+ clients since

03:34 – Be data-led; Capitec’s in-branch insight

04:50 – Channel reality: email/WhatsApp avoidance; misfit distribution

05:22 – Creator-driven research platform (banking patterns, targeted reach)

06:02 – Why traditional media still matters (credibility/auditing)

08:41 – Fixing legacy media: short video hooks that link to articles

09:10 – Example: Good Things Guy’s positive, authentic model

10:01 – Cross-pollination: investors with personal brands; optionality for Gen Z

10:57 – Leaders documenting the journey (Alex Hormozi, Steven Bartlett, Adrian Gore)

12:05 – “Don’t sell—document”; why authenticity beats product posts

13:16 – Investing in Gen Z: sponsor and market events to young people

14:26 – Fill the room: get under-30s into conferences

14:53 – Founder content workflow: commentator → creator → outsource

16:10 – Volume vs value; credibility before clickbait

17:54 – Crash course for beginners: pick what you love; personalise; start on LinkedIn/IG

18:26 – Pillar → mined clips; start 1–2 pieces/week; write if you dislike camera

19:27 – Be authentic: talk about what you actually do/care about

20:09 – Origin story & philosophy: independence; self-belief before evidence

20:54 – Close & thanks

#TheAnglePodcast #MarkoStavrou #GenZ #YouthMarketing #CreatorEconomy #ContentStrategy #ShortVideo #AudienceDevelopment #BrandBuilding #SouthAfricaMarketing

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AI must create real value, not just proofs-of-concept. Dr. Mark Nasila explains how FNB’s risk function uses data and AI to stay ahead of evolving regulation and fraud -preventing some R2 billion in losses annually - and why people now make decisions after AI aggregates the evidence (including small language models drafting forensic reports for roughly 220,000 investigations a year). He details how to avoid hallucinations and over-reliance on tools with a clear human-in-the-loop sign-off.

From “African AI” as a value-first agenda (health, energy, local constraints) to the industry’s fixation on use cases over end-to-end transformation, Nasila argues the metric that matters is experience and outcomes, not shiny tech. He calls for national focus areas, public–private partnerships, and data sovereignty that controls the AI value chain -“sell intelligence, not raw data” - backed by urgent, coherent AI strategy, not just policy.

Chapters / timestamps

00:00 – Intro: role of Chief Data & Analytics Officer (risk, regulation, proactiveness)

01:34 – Regulations as trust & value; automating compliance at scale

03:10 – AI in risk: ~R2 billion fraud prevented; 220k investigations; SLM forensic reports

05:24 – Hallucinations & over-reliance: limits of models; human-in-the-loop sign-off

08:34 – Defining “African AI”: value-first, local problems, infra, skills, ethics

10:53 – Find the right problems: R&D and prioritisation inside firms & government

12:23 – Why most are stuck at POCs; transform processes, not demos

16:16 – “AI washing”: inflated POC claims vs measured, experience-level value

19:23 – National AI policy: prioritise sectors; augment jobs; socio-economic lens

22:42 – People still matter: limits of chatbots/coding; bring humans back where needed

26:04 – Government data, strategy, and global benchmarks (US/EU/China focus & investment)

28:49 – Efficiency examples and why strategy must lead policy

31:07 – AI as geopolitics/industry driver; sovereign AI and owning the value chain

38:06 – Data centres vs sovereignty; “sell intelligence,” protect the pipeline

41:13 – Where to find the books; closing remarks & next steps

#TheAnglePodcast #MarkNasila #FNB #AI #FraudPrevention #RiskAnalytics #DataSovereignty #HumanInTheLoop #AfricanAI #AIAtScale

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Leadership in a disrupted world. Celiwe Ross - South Africa’s first black woman to qualify as a mining engineer reflects on leading through technological change: self-knowledge over fear, community over ego, and why yesterday’s leadership model won’t work when we’re partnering with AI. She shares early underground lessons on teamwork and finding value, then applies those to financial services where leaders must become conversant in AI as roles shift and skills get automated.

Ross discusses Old Mutual’s multi-year engagement with the Singularity Summit to catalyse new conversations - from fraud detection to service design with humility - and warns that incumbents who don’t adapt will be disrupted. She argues for reaching younger audiences with future-of-work realism, and suggests more practical support for SMEs.

On AI, she’s cautiously optimistic: expect disruption across industries; learn to separate truth from fake; and use tools like Microsoft Copilot/meeting facilitation to stay present while capturing actions. She closes that the next era demands a full shift in leadership - less about technical prowess, more about connecting, challenging ideas, inspiring, empathising, and coaching.

Chapters / timestamps

00:00 – Intro & why leadership must change with technology

01:12 – “Do the personal work”: self-knowledge vs fear of the future

02:17 – First black woman mining engineer: early underground lessons

02:25 – Chairlift moment, acceptance, and finding value via planning tools

06:44 – Why a financial-services incumbent engages Singularity Summit

07:55 – What really blocks adoption: fear of the unknown/obsolescence

09:14 – Using fear as a catalyst; be fascinated by the future

10:26 – Partnership approach: bringing 200 staff, cross-level learning

12:34 – Where are the youth? Cost, inclusion, and reaching tweens/teens

14:39 – Community “village” mindset; democratising access as costs fall

17:11 – Entrepreneurship realities; building the muscle to experiment

19:44 – What SMEs actually need: practical AI how-to (prompts, contracts, pitches)

21:20 – Fear and scams narratives; will AI survive hype?

22:01 – 80% possibility lens; truth vs fake; human connection still matters

23:57 – Practical AI at work: Teams + Copilot meeting “facilitator”

25:42 – “Every industry will be disrupted by AI”

26:05 – Hope, community, and building the future we want

26:47 – Does AI require a new kind of leadership?

27:27 – Final view: a full shift—leaders who connect, inspire, coach

#TheAnglePodcast #CeliweRoss #Leadership #FutureOfWork #AIDisruption #DigitalTransformation #OldMutual #SMEs #YouthInclusion #southafricabusiness

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Practical AI beats hype. In this Singularity Summit episode of The Angle, Ashley Anthony - co-founder & CEO, Isazi.ai explains how a bootstrapped AI company grew to 110 people by solving specific customer problems first—then choosing the tech.

He unpacks Isazi’s first-principles approach - translate business issues into mathematical problems - the pay-on-proof/money-back guarantees that built evangelists, and why South Africa’s advanced banking & supply chains made it a strong testbed long before global expansion.

Ashley introduces two products:

Hudson — a data river engine for cleaning, preparing, predicting, and optimising; e.g., forecasting thousands of SKUs and optimising distribution.

Sophia — end-to-end document automation using multiple LLMs plus a human-in-the-loop layer (crowdsourced micro-tasks to unemployed youth) to eliminate low-confidence extractions and run high-volume processing.

He closes with a founder’s mindset: curiosity beats tools; define the question, read widely, and let math + execution do the work.

Chapters / timestamps

00:00 – Intro

00:40 – “Practical applications of AI” & Isazi’s bootstrapped origin story

02:46 – Team size (110), global footprint, and problem-first market view

04:40 – How bootstrapping shaped guarantees & customer evangelists

06:38 – First principles: understand the problem; be tool-agnostic

08:35 – Why South Africa (banks, supply chains) enabled scaling

09:44 – Market realities, red tape, and focusing on practical value

13:10 – Business model: ~30% consulting, ~70% product licensing

14:09 – Hudson: data “river” → clean, predict, optimise (SKU forecasting example)

16:10 – Sophia: LLM document automation + human-in-the-loop micro-jobs

17:46 – Data stance: no customer data ownership; cloud or on-prem options

18:45 – On AI fear & adoption: “that debate is over”

21:25 – “Africa has broken the border”: solve problems with what you have

22:30 – Misprioritised AI (chatbots) vs real ROI (revenue up or cost down)

24:52 – Curiosity story (library metaphor): ask better questions, learn faster

29:56 – Goal: solve a client problem in one week; push toward one day

31:32 – Why mathematical thinking is the edge (team & approach)

32:38 – Close

#TheAnglePodcast #AshleyAnthony #IsaziAI #PracticalAI #AIROI #DocumentAutomation #HumanInTheLoop #SupplyChain #DataEngineering #SouthAfricaTech

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Keep African agency in AI - that’s the through-line of Prof. Vukosi Marivate’s talk. Don’t outsource the future, build it locally. He points to a decade of grassroots work (Data Science Africa, Deep Learning Indaba, Masakhane) and argues for a full ecosystem: fundamental researchers, model builders, product teams, and real markets to test and absorb what’s built. He stresses R&D investment (AU benchmark 1% of GDP; SA ~0.6% after a corporate pullback from ~0.8% pre-COVID), and the role both government and corporates must play.

Language is a priority - with 2000+ African languages, we need digital dictionaries, speech recognition, and NLP tools that actually work for our context, otherwise Africa stays a consumer, not a creator. He explains why bias can’t be “fine-tuned out” of large models after the fact; you need better representation from the ground up. He also outlines the technical and data hurdles for LLMs in morphologically rich languages like isiZulu.

Chapters / timestamps

00:00 – Intro & “latest iteration” of his message

00:36 – Key takeaway: Africans must keep agency in AI; grassroots orgs to engage

01:23 – What a healthy African AI ecosystem includes (research → product → market)

03:46 – R&D funding realities: AU 1% benchmark; SA numbers; corporate role

06:19 – Market potential vs perceptions; demographics and opportunity

06:46 – 2000+ languages: designing systems that meet people where they are

08:35 – Why language matters: NLP journey, lack of tools, activism for languages

10:38 – Build locally vs being only consumers; multinationals without R&D offices

11:07 – Tanzania example: low-power, low-connectivity edge ML for farmers

13:59 – LLM challenges for African languages (data quality, morphology, encodings)

17:36 – Skills roadmap: read papers, implement, solid data/computing fundamentals

20:09 – Dev example: TTS trained on religious texts—limits and pitfalls

20:56 – Practical advice: use general-purpose/open datasets; improve with limited data

22:25 – Resource-efficient AI; Lab by AI speech/translation; API access notes

23:57 – What’s next: building traction; new Institute for Data Science & AI (UVic)

24:46 – For AI skeptics: get literate; understand benefits/risks; ask better questions

25:21 – Close

#TheAnglePodcast #VukosiMarivate #AfricanAI #AIAgency #NLP #AfricanLanguages #BiasInAI #EdgeAI #RAndD #BuildInAfrica

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How do you build AI that serves profit and purpose—without causing unintended harm?

In this episode of The Angle, Atenkosi Ngubevana - Group AI & Automation lead at Vodacom unpacks a values-first approach to AI: design for inclusive growth, embed ethical data stewardship, and measure impact beyond demos. We get into why many corporates stall after flashy PoCs, how quality data and real digital-transformation work unlock scale, and why startups can leapfrog incumbents with speed, open source, and focused ecosystems.

We discuss personalised sales, fraud detection, and what changes with the gen-AI hype cycle. The headline: the tech is not the value—data, processes, and change management are.

Policy and power come up too - South Africa’s AI regulation is lagging; the urgent work is ethical guardrails and data sovereignty (who holds which citizen data, to what ends?). Atenkosi helped set the tone for a national AI strategy - from infrastructure ownership and governance to public-private upskilling partnerships - so we dig into what “sovereign AI” should mean here.

What you’ll learn

-How to frame AI around values, inclusion, and measurable impact, not hype.

-Why data quality + transformation (people/process) decide adoption at scale.

-Where startups beat incumbents: speed, open source, specialist ecosystems.

-The state of AI regulation, ethical AI, and data stewardship in SA.

-National AI strategy pillars and public and private roles in skills.

-Purpose pilots: AI tutor & career guidance with health/education partners.

Subscribe for more conversations on Africa’s digital future—where systems, incentives, and execution matter more than slogans.

Chapters:

00:00 – Cold open & intro

00:11 – Values before tools: building AI that doesn’t cause unintended harm

01:34 – Atenkosi’s role + Vodacom AI Lab: profit and purpose pillars (education, health, water)

03:20 – Why PoCs wow but scale stalls: data quality, transformation, change management

04:04 – From ML to gen-AI: what actually changed (and what didn’t)

08:22 – Startups vs incumbents: renovate the mansion or build the glass house?

10:25 – Speed, open source, outsourcing cybersecurity, and thinking global from day one

14:38 – Using scale without killing innovation: external partners, “David & Goliath” logic

17:12 – M&A realities, Competition Commission guardrails, and consumer protection

21:19 – Are we regulating AI well? Ethical AI, data sovereignty, POPIA limits

24:41 – Incentives over excuses: SARS as a working ML example; why will matters

27:24 – Infusing AI in purpose work: AI tutor and career-guidance pilots with partners

31:07 – Inside SA’s national AI strategy: infrastructure, governance, partnerships, skills

33:23 – Implementing the strategy: corporate lessons for a sovereign AI agenda

34:59 – Public–private complementarity: upskilling, incentives, and execution gaps

36:39 – Close & credits

#TheAnglePodcast #AtenkosiNgubevana #AI #DigitalTransformation #EthicalAI #DataSovereignty #POPIA #OpenSource #AfricaInnovation #sovereignai

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When safety tech looks like jewellery, victims gain time, evidence - and options.

In this episode of The Angle, Bohlale Mphahlele breaks down the story behind her discreet, safety wearable: an earring with a hidden trigger and nano-camera that captures the perpetrator’s face, records audio, and sends GPS + evidence to trusted contacts in seconds. We go deep on South Africa’s GBV reality and why evidence at the moment of harm can change outcomes - from getting help faster to supporting prosecutions.

On the path to scale, she shares the pilot roadmap (schools, campuses, nightlife venues), partnerships with campus security/SAPS-linked victim support, manufacturing choices, and the business model mix. For founders, there’s practical advice on user testing trauma-aware products, funding (grants vs equity), and how to frame impact with hard metrics.

If you care about safety tech, women’s health, and product design for real constraints, this conversation is essential.

Chapters & Timestamps:

00:00 – Cold open: why evidence in the moment matters

00:48 – Origin story: from problem statement to a discreet safety wearable

02:00 – How the earring works (panic trigger, nano-camera, GPS, auto-share)

04:15 – Prototyping trade-offs: battery, sensors, comfort, and stealth

06:10 – Data & privacy by design: encryption, consent, and chain of custody

08:05 – Low-connectivity playbook: offline buffers, retries, and SMS fallbacks

10:00 – Trials & user testing: trauma-aware research and false-positive reduction

12:20 – Partners & policy: campuses, SAPS-linked support, legal admissibility

14:10 – Manufacturing & cost curve: from small batch to scalable production

16:05 – Business model: hardware pricing, evidence-vault subscription, sponsorships

18:00 – Scaling across Africa: context differences, distribution, local support

19:10 – Founder playbook: funding, metrics that matter, and what’s next

#TheAnglePodcast #BohlaleMphahlele #SafetyTech #WomensSafety #GBV #Wearables #ResponsibleAI #DataPrivacy #AfricaInnovation #JohannesburgTech

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Modernisation fails when it’s led by tools instead of strategy.

In this episode of The Angle, Valter Adao breaks down how he and Cadena Growth Partners approach growth and modernisation: start with a clear business ambition, define the value you want (growth, productivity, experience), and only then pick technology and vendors. His data point is stark: plenty of programmes ship “on time, on budget”… yet fewer than a third actually unlock the promised ROI - because they were tech-first, not strategy-first.

We also dig into why adding constraints makes innovation work, how to spot healthy leadership signals, and the right capital–policy mix to let private investment flow. Finally: the real meaning of the Engels/AI pause—and why so many firms are stuck in theatre instead of impact.

What you’ll learn:

A practical sequence for modernisation (ambition - value - tech) and why leadership beats tooling.

How deliberate constraints (scope, timelines, KPIs, budgets) turn “idea fairs” into value.

The gladiator traits Valter hires for: agency, resilience, adult problem-solving - and why a constantly “too busy” C-suite is a red flag.

Strategy before regulation - and the rails policy must lay to attract investment and protect property rights.

Why South Africa’s AI trust & adoption are surprisingly high, average time online is 9h37m/day, and how to turn usage into productivity.

The real AI/Engels pause: lots of pilots, little P&L movement - because firms chased “AI projects” instead of business cases.

Chapters and Timecodes:

00:00 – Cold open: long-form vs short-form, how audiences really consume

01:32 – Formats that teach vs doom-scrolling (and where TikTok fits)

03:15 – Valter’s brief: growth + modernisation are leadership problems, not tech problems

03:43 – Cadena’s two tracks: repackaging legacy for new markets; modernising the core

04:50 – Why fewer than 30% of modernisation efforts deliver promised ROI (tech-first traps)

06:55 – The “fluency gap”: building an executive academy for better decisions

07:33 – Counterintuitive truth: more constraints → better innovation outcomes

08:08 – Designing constraints: value, timeline, scope, KPIs, and budget discipline

10:40 – Operating across 17 African countries: patterns of high-growth firms

11:11 – Utility first, then tech; unreasonable product expectations the tech must meet

13:24 – Leadership signals: clear decisions, governance, teams that actually own problems

15:09 – The “too busy” CEO as a diagnostic for organisational dysfunction

16:40 – Regulation as rails: how policy enables investment and protects property rights

18:39 – Strategy → regulation sequencing; anchor on jobs & growth, digitise to compete

20:03 – Industry-agnostic by design; cross-pollinating models (prepaid → energy)

22:16 – Tech augments humans: fear vs the “rock-breaker” productivity effect

27:02 – SA optimism, partnership mindset, and public–private execution gaps

31:01 – Where AI sits on the hype/maturity curve (and why AVs are further along)

32:51 – SA doesn’t lag when tech is mature; infra limits vs corporate capability

33:57 – SA’s high AI trust/adoption + 9h37m online: leapfrog potential if harnessed

37:08 – Engels/AI pause: stuck in demos because business cases came last

39:47 – From pilots to P&L: embed AI where it moves revenue, cost, or experience

40:28 – Closing: strategy first, then technology—no silver bullets

#TheAnglePodcast, #ValterAdao, #DigitalTransformation, #StrategyOverTech, #AIROI, #PNLImpact, #Leadership, #Innovation, #ChangeManagement, #SouthAfricaBusiness, #DataStrategy, #productivity

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How do you build and back winning companies in Africa when capital is scarce, risk is mispriced, and every market behaves differently?

In this episode of The Angle, interviewed during the Singularity Summit in October, investor Kojo Annan unpacks the hard truths (and real opportunities) behind scaling on the continent. We go deep on the global financial architecture and Africa’s baked-in “risk premium,” why a local mission with a global vision beats copy-pasting Silicon Valley playbooks, and what he calls the “gladiator test” for founders - resilience and endurance over résumé sheen.

We talk thesis vs. reality - what investors say they want vs. who actually gets funded; how to design country-specific strategies; building the right capital stack (grants, revenue, debt, equity) for African conditions; and the underrated role of the diaspora pipeline in seeding the next wave of operators and capital allocators. If you’re a founder, investor, or policymaker trying to separate perception from facts, this conversation is a practical field guide.

What’s inside:

The “danger premium” myth and why Africa’s risk is often mispriced

How local constraints (logistics, compliance, FX, power) shape winning strategies

The gladiator founder: what Kojo Annan actually screens for beyond the deck

Why not every Wall Street/Big Tech playbook ports to Lagos or Joburg

Building momentum without mega-checks: revenue, partnerships, and smart debt

Diaspora talent as accelerant: training abroad, building at home

Concrete advice on storytelling, diligence, and country fit to raise capital

TIMESTAMPS:

00:22 – Intro: who Kojo is & why his lens matters

02:01 – Origin story: operator to investor (and what changed)

05:13 – The “risk premium” myth: global finance & Africa’s mispricing

06:33 – Strategy 101: local mission, (maybe) global vision

08:25 – The “gladiator” test: what Kojo really looks for in founders

11:10 – Markets aren’t the same: Joburg is not Lagos is not Accra

13:45 – Capital stacks that work here (revenue, debt, equity, grants)

16:20 – Due diligence vs. perception: what investors actually check

18:40 – Sectors with signal: (context-specific examples, not templates)

20:55 – Policy & partnerships: when government helps (or hurts)

22:17 – The diaspora pipeline: why returnees are catalytic

24:50 – Story, numbers, traction: how to pitch for this market

27:35 – Founder advice: survive long enough to be obvious

30:02 – Closing notes & where to find Kojo

Subscribe for more candid conversations on Africa’s digital future—where systems and execution matter more than slogans.

#TheAnglePodcast #KojoAnnan #AfricaStartups #RaisingCapital #RiskPremium #InvestorPlaybook #DiasporaTalent #SmartDebt #CountryFit #ScaleInAfrica

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In this episode of The Angle Podcast, we sit down with a leading voice in risk, innovation, sustainability and socio-economic transformation Khothatso Nzimande-Manana and her daughter Masentle. From her early career in insurance to leading risk at Media24 and now building a climate-tech company, she breaks down South Africa’s biggest sustainability challenges and the opportunities we’re missing.

We explore the real state of climate change preparation in South Africa, how companies still treat sustainability as a checklist, and why local innovators must take the lead in building our own data, systems, and technologies.

Key Topics Discussed in This Episode

Her Journey Into Risk & Sustainability

Why SA Lacks Local Sustainability & Climate-Tech Players

The Green Transition & Opportunities for South Africans

Risk Assessment in Big Companies

Why SA Is Reactive About Climate Change

The Social Side of Sustainability And Why It Fails

Are We Assessing Climate Change Risks Properly?

Building a Climate-Tech Company in South Africa

Their New Product: The ESG Tracker

If you care about:

Climate change in South Africa, Sustainability, ESG and green jobs, African innovation, Risk, governance & inequality, Building local tech solutions

…then this episode is for you. YouTube · The Angle · YouTube · Substack · LinkedIn · Facebook · Instagram · X · TikTok