Numerirati slajdove osim naslovnice
Slide 1
Maknuti confidential u kut i dodati strictly private(strictly private and confidential) i skinuti okvir Slide 2
Maknuti state-of-the-art iz What? Kwaga is novel, state-of-the-art analytics tool... i zamijeniti sa novel & disruptive Slide 3
Maknuti “and compared it to manual data collecting and clicking.” iz Kwaga has come up with new ways to measure and present data..... Slide 6
Razlikovati Naslov problema (i.e. Data collection) od samog problema (Expensive Meets Inflexible Human Error) - npr manji font, podnaslov, etc. Slide 7
u zagradi dodati u drugom redu (Trained AI Models) Slide 8
dodati AI u drugom stupcu u naslovu (Trained AI Models) Promijeniti Anomaly Detection u Pattern Detection Unificirati sa strukturom na Problemima - Naslov rješenja + Rješenje.Razlikovati Naslov problema (i.e. Data ollection) od samog problema (Expensive Meets Inflexible Human Error) Data Collection - Cost-effective Standardized and Seamless Data Collection (npr. Data Collection naslov, Cost-effective Standardized and Seamless Data Collection podnaslov) Data Analysis - Actionable Findings with AI-powered Anomaly Detection Contextual Insights - Finding the "Why" and the "How" Behind the Data Slide 9
dodati Product Roadmap u samo Product Slide 10
Promijeniti naslov iz THE 3 PRODUCT VERTICALS (IN STAGES) u THE 3 VERTICALS OF DATA Promijeniti podnaslov u Simultaneous Development Maknuti podpodnaslov 3-stages of the Kwaga product and data: Slide 11
promijeniti naslov u PRODUCT DEVELOPMENT VISION promijeniti dizajn strelica i crta da budu malo cisce - ovo je nesto sto sam ja koristio u keynotu ali ne ide mi ovaj brush dizajn ovdje Stage 1 promjeniti u May 25 Stage 2 promijeniti u December 25 Dodati Stage 3 March 26 Expansion into football Dodati Stage 4 September 26 Marketable solutions for additional team sports Completion of the SaaS tool for union, club and competition management promijeniti u Completion of the SaaS tool for union, club, and competition management and introduction of first AI data collecting solutions Constant re-training of data and models and adding improvements and expansion into new sports promijeniti u Constant re-training of data and models while adding new analytics, correlations, and context and expansion into new sports Slide 12
promijeniti naslov u PRODUCT DEVELOPMENT iza What do we have now? dodati (collecting data and reports) Slide 13
promijeniti naslov u PRODUCT DEVELOPMENT iza What do we have now? dodati (computer vision analytics models) Slide 15
Promijeniti FACTORS u TARGETS promijeniti naslov Sports Gambling u Sports Betting Slide 16
Staviti u pravokutnike iznose. Velike, debele, brojeve (npr. $3.9B) Slide 17
Promijeniti ovaj style ikone grafa da pase vise ostatku decka ili ga maknuti kompletno i povecati broj Slide 19
promijeniti podnaslov FOR TEAMS & UNIONS maknuti Adding new sports Promijeniti Correlation and causation capabilities u Automated context for contextual analysis Slide 20
Promijeniti naslov u samo BUSINESS MODEL promijeniti podnaslov u OTHER TARGETS promijeniti Sports Gambling u Sports Betting Slide 23
Promijeniti STAGE 1: u STEP 1 Promijeniti Finalize an easily-adjustable CRM SaaS solution for rugby unions, clubs and competitions to manage and improve i sve dalje u Finalize a rugby-specific CRM SaaS solution tailored for unions, clubs, and competitions to manage and improve:
Game and competition operations Team and player performance tracking Slide 24
Promijeniti STAGE 1: u STEP 1 SaaS Features
Competition Management
Organize and manage events Compliance Tools
Ensure union standards Player Registration
Simplified onboarding & UX Player Database
Centralized profile management Digital Match Tools
Support for officials during games Advanced Analytics
Performance and stats monitoring APIs
Integrate competitions with external platforms
Slide 25
Promijeniti STAGE 2: u STEP 2 Upgrade to an AI Analytics Contextual Solution
Enhance the tool to function as an AI-driven analytics platform with the potential to upsell to already onboarded unions, clubs, and competitions.
Key Features:
Real-time Video Analysis: Instant insights from live footage. Accurate Data Metrics: Reliable and precise performance tracking. Contextual Insights: Actionable conclusions tailored to the game. APIs for Competition & Analysis: Seamless integration with external platforms. Slide 26
obrisati slide i staviti sve u gornji kako navedeno Slide 27
Naslov da bude: KWAGA CONTEXT INSIGHTS podnaslov: REAL-LIFE EXAMPLES Slides 28-33
Svi podnaslovi da su iste velicine Malo je tesko vidjeti podnaslove Fali nogometna lopta na zadnjem primjeru (slide 33) Slide 35
Dodati Res.Po Vision logo Slide 38
Dodati Res.Po Vision sekciju Respo.Vision
Size:
Respo.Vision is a growing company focused on AI-driven video analytics, specializing in providing advanced insights for football (soccer) teams. They are recognized for leveraging machine learning to deliver highly detailed performance metrics.
Revenue:
Respo.Vision’s annual revenue is estimated to be under $10 million. Their primary income streams come from offering AI-based video analytics services to football teams and leagues.
Market Share:
Respo.Vision is an emerging player in the sports analytics market, particularly in football. While their market share is currently small compared to established giants like Stats Perform or InStat, their innovative use of AI positions them as a strong contender in the niche of advanced video-based performance analytics.
Slide 39
Nacrtati matrix na sljedeci nacin (dodati opise Axisa): I ovako posloziti logoe:
Slide 41 (new)
Staviti 6 razlicitih placeholder ilustracija/ikona u istom stilu, 3 u gornji red (tri muska), tri ispod (1 zena, dva muska) Tekst ispod svake ilustracije: Daniel Smith UX & Design Lead
Slide 42
