Data AI Artificial Intelligence Business Platform AI CD

Slide 1: This slide introduces Data.AI: Artificial Intelligence Business Platform. State Your Company Name and begin.
Slide 2: This slide is an Agenda slide. State your agendas here.
Slide 3: This slide shows a Table of Contents for the presentation.
Slide 4: This slide introduces Company Summary Out of the Table of Contents.
Slide 5: This slide represents the overview of AI business intelligence platform.
Slide 6: This slide highlights mission and vision.
Slide 7: This slide shows Comprehensive employee benefits program offered.
Slide 8: This slide showcases the company culture score and rating.
Slide 9: This slide demonstrates the global business footprint and locations.
Slide 10: This slide describes workplace employee diversity representation, including total employee count by country and work profile.
Slide 11: This slide details the executive leadership team members.
Slide 12: This slide entails the members of company advisory and board of directors.
Slide 13: This slide introduces Partners and competitors out of the Table of Contents.
Slide 14: This slide caters to Data.AI international business research partners.
Slide 15: This slide highlights a mobile advertisement platform partners.
Slide 16: This slide containsTop business intelligence platform partners
Slide 17: This slide portrays performance enhancement partners, showcasing their role in optimizing productivity, efficiency, and success.
Slide 18: This slide presents a comparative competitor assessment, providing a comprehensive evaluation of performance.
Slide 19: This slide introduces Tools trAIning and development out of the Table of Contents.
Slide 20: This slide highlights Data.AI platform tools trAIning model.
Slide 21: This slide incorporates how Data.AI utilizes predictive analytics for precise insights, analyzing large datasets and historical data.
Slide 22: This slide illustrates Artificial intelligence tool development and deployment process.
Slide 23: This slide introduces App lifecycleout of the Table of Contents.
Slide 24: This slide presents Data.AI intelligence for app lifecycle management.
Slide 25: This slide entails the discovery phase of app lifecycle management, showcasing global growth opportunities in various app categories.
Slide 26: This slide represents Data.AI intelligence for app lifecycle : Strategize.
Slide 27: This slide highlights Data.AI intelligence for app lifecycle : Acquire.
Slide 28: The slide showcases Data.AI intelligence for app lifecycle : Engage.
Slide 29: This slide entails monitor phase of app lifecycle management to maximize revenue potential .
Slide 30: This slide introduces Data.AI intelligence solutions out ofthe Table of Contents.
Slide 31: This slide illustrates a business intelligence tool for optimizing financial performance.
Slide 32: This slide shows a game IQ solution for gaming trend identification.
Slide 33: This slide mentions a game IQ taxonomy for games classification.
Slide 34: This slide shows App IQ solution for innovation cycle evaluation.
Slide 35: This slide caters to a app IQ taxonomy for application classification.
Slide 36: This slide captures a pulse solution for data tracking and analysis.
Slide 37: This slide postulates Data.AI delivery solution for data collection and integration.
Slide 38: This slide shows mobile performance score (MPS) solution to evaluate the performance of unified apps.
Slide 39: This slide introduces Data.AI business intelligence tools out of the Table of Contents.
Slide 40: This slide puts a cross-platform data analysis tool called Data.AI ascend.
Slide 41: This slide contains visual analytics by Data.AI's ascend tool.
Slide 42: This slide shows Data.AI ascend tool: Data source connection.
Slide 43: This slide caters to the analysis and customization capabilities of the Data.AI ascend tool.
Slide 44: This slide illustrates Data.AI ascend tool: Additional featuresr needs and capture your audience's attention.
Slide 45: This slide portrays ConnectPlus, data analysis tool for app performance.
Slide 46: This slide showcases Data.AI platform multiple layer architecture.
Slide 47: This slide entails Data.AI platform offerings for digital ecosystem
Slide 48: This slide presents Free vs premium comparative analysis for Data.AI tools.
Slide 49: This slide introduces Data.AI solutions by business unit out of the Table of Contents.
Slide 50: This slide highlights seamless data normalization using Data.AI ascend tool.
Slide 51: This slide illustrates Data.AI solutions for businesses, providing data-driven insights for smart decision-making in the mobile market.
Slide 52: This slide showcases Data.AI solutions for efficient product management, offering a single source for informed decision-making.
Slide 53: This slide provides Data.AI marketing solutions to reach the target audience.
Slide 54: This slide shows Data.AI growth solution for innovation and performance, providing data insights for customer mobile journey.
Slide 55: This slide caters to Data.AI sales solutions for building selling strategies, offering data insights into mobile markets.
Slide 56: This slide contains Data.AI business development solutions for alliance development.
Slide 57: This slide illustrates how Data.AI corporate development solutions offer deep data insight for capitalizing on mobile market opportunities.
Slide 58: This slide portrays Data.AI investor solutions, delivering actionable insights for better investing decisions based on app performance data.
Slide 59: This slide introduces Data.AI solutions by verticals out of the Table of Contents.
Slide 60: This slide Overviews Data.AI solutions offered for verticals.
Slide 61: This slide entails Gaming solution to build best games.
Slide 62: This slide highlights Data.AI AI solutions for fintech, enabling efficient financial transactions.
Slide 63: This slide showcases Data.AI equity research solution, leveraging AI for precise market insights and investment opportunities.
Slide 64: This slide shows Data.AI ecommerce solution, utilizing ML, NLP, and predictive analysis.
Slide 65: This slide puts Media solution for enhanced entertAInment experience.
Slide 66: This slide portrays Data.AI dating solution, providing personalized recommendations and behavior insights.
Slide 67: This slide outlines Restaurant ordering and delivery management solution.
Slide 68: This slide highlights Health and wellness solutions for healthcare.
Slide 69: This slide provides Data.AI software solution, empowering the software industry with AI-driven tools.
Slide 70: This slide entails Data.AI solution to improve banking experience.
Slide 71: This slide highlights Data.AI investment management solution for effective decision-making and portfolio optimization.
Slide 72: This slide showcases Data.AI retAIl solution, designed to enhance customer experience and boost sales.
Slide 73: This slide shows Data.AI advertising solution, leveraging AI to generate leads.
Slide 74: This slide illustrates Data.AI social media solution, enabling businesses to enhance their marketing strategies.
Slide 75: This slide highlights Data.AI travel and transport solution, an AI-based business solution for the industry.
Slide 76: This slide overviews Data.AI grocery solution, leveraging AI to enhance customer loyalty.
Slide 77: This slide portrays Data.AI digital fitness solution, utilizing AI for an improved fitness experience.
Slide 78: This slide introduces Data.AI app performance reports out of the Table of Contents.
Slide 79: The slide caters to a gaming report showcasing the top games by overall download.
Slide 80: This slide entails the most recent, 7-day prior, and 30-day prior reports of the top installed SDKs in overall apps.
Slide 81: This slide outlines an engagement report showcasing the top apps by overall active users.
Slide 82: This slide provides the revenue report, showcasing the top apps by overall generated revenue.
Slide 83: This slide contains a comprehensive report featuring the top apps by total downloads.
Slide 84: This slide shows all the icons included in the presentation.
Slide 85: This slide is a thank-you slide with address, contact numbers, and email address.