/The Missing Layer in the AI Stack: Why Data Architecture Determines AI Success or Failure

The Missing Layer in the AI Stack: Why Data Architecture Determines AI Success or Failure

Germanydevia direct
// Job Type
Full Time
// Salary
Not disclosed
// Posted
2 months ago
// Seniority
executive

About the Role

Resource // Webinar The Missing Layer in the AI Stack: Why Data Architecture Determines AI Success or Failure Enterprises are investing heavily in AI agents, chatbots, and copilots—yet many initiatives stall before reaching production. The limiting factor is rarely the model. Instead, it’s the underlying data architecture’s ability to deliver contextual, connected, and governed data at scale. In this webinar, Shekhar Iyer, CEO of Arango and guest speaker, Indranil Bandyopadhyay, principal analyst at Forrester, examine insights from Forrester’s Multi-Model Data Platforms research to explore why traditional data stacks struggle with AI workloads—and what architectural patterns are emerging to close the gap. Learn how modern data architectures support production-grade AI systems by reducing fragmentation, improving context, and enabling seamless transitions from pilot to deployment. Shekhar Iyer CEO Arango Indranil Bandyopadhyay Principal Analyst Forrester Watch On-Demand First Name* Last Name* Email Address* Company* Job Title Country* Please Select United States Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burundi Cabo Verde Cambodia Cameroon Canada Central African Republic Chad Chile China Colombia Comoros Congo, Democratic Republic of the Congo, Republic of the Costa Rica Côte d’Ivoire Croatia Cuba Cyprus Czech Republic (Czechia) Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Eswatini Ethiopia Fiji Finland France Gabon Gambia Georgia Germany Ghana Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Honduras Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Kiribati North Korea South Korea Kosovo Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Zealand Nicaragua Niger Nigeria North Macedonia Norway Oman Pakistan Palau Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Qatar Romania Russia Rwanda Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Sudan Spain Sri Lanka Sudan Suriname Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Timor-Leste Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Tuvalu Uganda Ukraine United Arab Emirates United Kingdom Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Yemen Zambia Zimbabwe The information you provide will be used in accordance with Arango’s Privacy Policy . We are committed to protecting and respecting your privacy. You can unsubscribe at any time using the link in our emails or by contacting us at privacy@arangodb.com Related Resources See All Resources Webinar Fireside Chat: Arango AI Capabilities Webinar Fireside Chat – Powering GenAI: The Critical Foundations for Scale

Tech Stack

AI agentschatbotscopilotsdata architecturemulti-model data platformsdata stacksAI workloadsmodern data architecturesproduction-grade AI systems

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