Ano ang Tunay na Dahilan Kung Bakit Pumapalpak ang AI sa iGaming?
Ano ang Tunay na Dahilan Kung Bakit Pumapalpak ang AI sa iGaming?
Hindi sa modelo o algorithm ang problema — kundi sa data infrastructure, business case, at regulatory compliance. Ayon sa bagong appointments ng CreateFuture, maraming operator ang may magagandang AI pilots pero walang foundation para i-scale ang mga ito sa production. Kaya naman kinuha nila sina Eddie Bennett (20 taon sa operator side) at Andy Wright (27 taon bilang CEO) para tulungan ang mga kumpanya na matapos ang kanilang funded programs — hindi simulan ang bago.
Bakit Pumapalpak ang AI Programs sa Betting at Gaming?
Ang pagkakaiba ng pilot at production
Maraming operator ang may “slide deck of AI pilots” — pero kapag tiningnan ang data estate, hindi ito kayang suportahan. Ayon kay Hass Peymani, Industry Director ng iGaming sa CreateFuture, ito ay “not a failure of ambition, it is the cost of fifteen years of growth by acquisition.”
Karaniwang problema:
- Fragmented data estates — dahil sa acquisitions at market-by-market builds, may iba’t ibang player records sa bawat brand.
- Walang consistent na view — ang personalisation engine, trading model, at compliance team ay pwedeng mag-return ng iba’t ibang sagot para sa iisang customer.
- Regulatory evidencing — hindi sapat na gumana ang model sa test; kailangan ng audit trail na tatanggapin ng regulator bago ito ilagay sa live environment.
Comparison: AI Pilot vs. AI Production
| Aspekto | AI Pilot | AI Production |
|---|---|---|
| Data quality | Gumagana sa controlled dataset | Kailangang consistent across all brands |
| Business case | Hindi pa required | Dapat may ROI at approved budget |
| Regulatory evidence | Wala pa | Kailangang documented at auditable |
| Change management | Maliit na team | Kailangan ng buong organizational buy-in |
| Success rate | Mataas (controlled environment) | Mababa kung walang data foundation |
Halimbawa: Personalisation engine na hindi gumagana
Isipin mo: may isang customer na naglalaro sa sportsbook at casino. Kung magkahiwalay ang data ng dalawang platform, ang personalisation engine ay mag-aalok ng parehong promo sa customer na active na. Ang compliance team naman ay mag-iisip na hindi pa siya naglalaro. Ang resulta? Confusion, poor customer experience, at posibleng regulatory risk.
Sino Sina Eddie Bennett at Andy Wright at Ano ang Kanilang Experience?
Eddie Bennett — Director of Lottery and iGaming
Background: 20 taon sa operator side, kasama ang:
- Allwyn (national lottery)
- UK Tote Group (pool betting)
- BoyleSports (retail at online)
- Sky Bet
- Lottoland
Role sa CreateFuture: Commercial half ng AI deployment — paggawa ng business case, pag-define ng metrics, at pag-construct ng audit trail na tatanggapin ng regulator.
Quote ni Bennett:
“A model that performs in a test is not the same thing as a model a regulator will let you run. That takes a business case, an operating model and an audit trail. CreateFuture has the engineering and data depth already. My job is to make sure the commercial argument stands up as well as the technology does.”
Bakit mahalaga ito? Dahil ang appointment ni Bennett ay formalizes lottery bilang isang discipline sa sarili nito, hiwalay sa sportsbook. Sa panahon ngayon, ang lottery operators ay nagpapatakbo ng parehong data consolidation programs gaya ng sports betting counterparts.
Andy Wright — Strategic Advisor
Background: 27 taon bilang chief executive at senior operator sa:
- FDJ United’s acquisition ng Kindred Group
- Tabcorp–Tatts merger
- Ladbrokes (kung saan niya inilagay sa live operation ang automated trading platform)
Role sa CreateFuture: Nagbibigay ng advice sa boards, executive teams, at investors sa integration, trading performance, at kung paano dalhin ang funded programs sa production.
Quote ni Wright:
“Boards rarely struggle to approve the first investment. They struggle to explain the second when the first never reached the floor. The operators calling now are not asking how to start. They are asking how to finish what they have already funded.”
Ano ang Ginagawang Solusyon ng CreateFuture?
Data consolidation bilang primary constraint
Ang posisyon ng CreateFuture: ang binding constraint sa operator AI ay hindi na ang modelo mismo, kundi ang data infrastructure. Ang typical operator estate ay may 10–15 taon ng acquisitions at platform migrations. Ang resulta ay inconsistent player records.
Current project: Nakikipagtulungan ang CreateFuture sa evoke para i-consolidate ang data foundation — building a single, consistent view of the player across brands and markets.
Ano ang nangyayari pagkatapos? Ang consolidated data ay ginagamit na sa production workloads:
- Fraud detection
- Customer service
- Personalisation
Ang bawat application ay nagbabasa ng same player record, wallet, at journey na ginagamit ng compliance at finance — isang requirement para sa regulatory defensibility sa licensed markets.
Halimbawa ng fragmented data estate
| Brand A (acquired 2018) | Brand B (acquired 2021) | Gusto ng Operator |
|---|---|---|
| Player ID: 12345 | Player ID: 67890 | Iisang customer |
| Wallet: PHP 500 | Wallet: PHP 0 | Total balance: PHP 500 |
| Last login: sportsbook | Last login: casino | Unified journey |
Kung walang consolidation, hindi makikita ng system na iisang tao lang ito. Kaya ang personalisation engine ay mag-iisip na dalawang magkaibang customer — at mag-aalok ng duplicate promos.
Paano Nakatutulong ang AI Academy sa SBC Summit Lisbon 2026?
Kaganapan: SBC Summit Lisbon 2026
- Petsa: 29 September – 1 October 2026
- Lokasyon: FIL at MEO Arena, Lisbon
- Inaasahang attendee: 40,000 mula sa 150+ bansa
- Sponsor: CreateFuture bilang headline sponsor ng AI Academy
Mga magsasalita (opening session)
- Lindsay Ratcliffe — Chief Innovation and Transformation Officer, CreateFuture
- Kanda Kumar — Director of Artificial Intelligence, evoke
- Stephen Denver — OpenAI
- Dimitrios Papageorgiou — Senior Solutions Architect for Betting and Gaming, AWS
Closing session: “From Pilot to Production: The Podium Story”
- Moderator: Eddie Bennett
- Speakers: Representatives mula sa Podium at Anthropic
- Nilalaman: Pagsubaybay ng isang AI program mula prototype hanggang production release
Bakit ito mahalaga? Dahil ito ay real-world case study kung paano malalampasan ang gap sa pagitan ng pilot at production — ang mismong problema na gustong solusyonan ng bagong hires.
Ano ang Background ng CreateFuture at Bakit Sila Mapagkakatiwalaan?
Company profile
| Aspect | Details |
|---|---|
| Headquarters | Edinburgh, UK |
| Acquired by | Version 1 (2026) |
| Combined group size | ~4,250 staff |
| Combined revenues | > €500 million |
| CreateFuture team size | ~550 professionals |
| Offices | Edinburgh, Glasgow, Leeds, London, Sofia |
| Sectors served | iGaming, financial services, utilities |
iGaming clients
- FanDuel
- Fanatics
- Flutter
- evoke
- tombola
Partnerships at certifications
- Preferred Anthropic Partner status
- OpenAI Select Partner status
- AWS Premier Tier Services Partnership
Bakit sila ang tamang consultancy para sa AI transformation?
Ang CreateFuture ay hindi lang technology-focused — may combined engineering at data depth sila, plus ngayon ay may commercial at strategic expertise mula kina Bennett at Wright. Ang kanilang approach ay transformation job, hindi technology purchase. Ibig sabihin, hindi lang sila nagbibigay ng models, kundi tumutulong sa buong process: mula sa business case hanggang sa regulatory evidence at change management.
Konklusyon: Ang AI sa iGaming ay Hindi Tungkol sa Technology, Kundi Tungkol sa Foundation
Ang pag-hire nina Eddie Bennett at Andy Wright ay senyales na nagbabago ang priorities ng mga operator. Hindi na sapat ang magkaroon ng magandang AI pilot. Kailangan ng:
- Consolidated data infrastructure — iisang view ng player sa lahat ng brand at market.
- Solid business case — hindi lang yung “pwede ito”, kundi “paano ito magiging profitable at compliant?”
- Regulatory evidence — audit trail na tatanggapin ng regulator bago mag-live.
Kung gusto mong matuto pa, dumalo sa AI Academy sa SBC Summit Lisbon 2026 (Sept 29–Oct 1) kung saan makikita mo ang real-world case study mula sa Podium.
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