Deepak Gupta
Group CTAIO | Group President | ex- CARS24, Airtel International | 2xTop Al & Data Voice | Forbes Technology Council Member Leader | FinTech | IIT-Delhi |AI & ML Global Speaker | Startup Mentor
Hyderābād, India
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Deepak Gupta is a global technology executive and keynote speaker with over two decades of experience shaping large-scale digital, data, and AI-driven transformations across FinTech, AutoTech, telecom, retail, and complex multi-business enterprises.
As a Group Chief Technology & AI Officer, Deepak operates at the intersection of platform engineering, AI strategy, and business execution. His work focuses on designing enterprise-grade, cloud-native platforms that embed intelligence directly into core business workflows—enabling faster decisions, improved customer experiences, operational efficiency, and sustainable competitive advantage.
Deepak has led the delivery of high-impact initiatives spanning AI-powered pricing and demand intelligence, fraud and risk platforms, credit and underwriting systems, customer-360 architectures, conversational AI, and large-scale automation. More recently, his work has focused on agentic AI and multimodal customer experience platforms, including intelligent chatbots, WhatsApp-based journeys, and agentic inbound and outbound calling systems. These systems combine reasoning, context, and action—allowing AI agents to not only assist users, but autonomously orchestrate conversations, workflows, and decisions across sales, service, and operations.
A strong advocate for engineering excellence, Deepak believes that technology leadership is ultimately about people and systems. He champions modern engineering practices including developer-first platforms, FinOps discipline, observability-led operations, and security-by-design to help teams innovate with speed, confidence, and resilience.
Beyond enterprise leadership, Deepak actively mentors founders, startup teams, and senior technology leaders on AI-native architecture, platform thinking, and organizational scale. He is known for translating complex technology concepts into clear, actionable strategies that bridge vision and execution.
His speaking engagements focus on AI at scale, enterprise platform strategy, low-code/no-code adoption, agentic and multi-agent AI systems, cybersecurity, and the future of AI-native organizations—helping leaders understand not just what is possible, but how to build it responsibly and effectively.
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Low-Code, No-Code, Pro-Code: Democratizing AI Across the Enterprise.
This keynote was delivered at the Global AI Show, Abu Dhabi, one of the world’s largest AI forums bringing together policymakers, CXOs, technologists, startups, and AI practitioners from across the globe.
The session explored a critical shift shaping the next phase of enterprise transformation:
AI does not scale through models alone—it scales when intelligence is distributed across the organization.
The talk examined how AI is evolving from a capability owned by specialist teams into an organizational superpower, enabled through three complementary layers:
No-Code, which drives mass adoption by empowering business users
Low-Code, which enables rapid automation for analysts and domain experts
Pro-Code, which remains essential for building secure, scalable, enterprise-grade AI systems
Together, these layers form a true AI Factory, where every function becomes a builder while governance and control remain intact.
A significant part of the session focused on the next evolution of AI—Agentic AI—systems that go beyond responding to prompts and are capable of perceiving, reasoning, acting, and collaborating autonomously.
Key discussion areas included:
Multimodal, agentic customer experiences across chat, messaging, and voice channels
Multi-agent enterprise architectures spanning sales, service, operations, finance, and IT
The role of Model Context Protocol (MCP) as the connective layer enabling secure agent interaction with enterprise systems
Why governance, observability, and action-level guardrails are non-negotiable as AI systems gain autonomy
The session concluded with a clear takeaway:
Enterprises that win will be those that democratize AI responsibly—empowering people, governing systems, and scaling intelligence across every workflow.
Session Type: Keynote / Strategic Deep Dive
First Public Delivery: Global AI Show, Abu Dhabi (December 2025)
Target Audience: CXOs, CTOs, CIOs, Chief Digital Officers, AI & Data Leaders, Enterprise Architects, Product Leaders, Platform & Engineering Heads
Audience Level: Executive to Senior Technical (strategy-first, execution-informed)
Preferred Duration: 30–40 minutes (keynote + Q&A)
Delivery Format:
Keynote-style presentation with real-world enterprise examples
Minimal theory, strong focus on decision frameworks & execution lessons
Interactive Q&A
What This Session Is / Is Not:
Is: A practical, leadership-level framework for scaling AI responsibly across enterprises
Is Not: A vendor pitch, tool comparison, or purely technical deep dive
Global AI Show 2025 Abu Dhabhi
Keynote session by Deepak Gupta on Topic - “Low-Code, No-Code, Pro-Code: Democratizing AI Across the Enterprise.”
Presented this topic as a keynote speaker at the Global AI Show 2025
The session examined how low-code, no-code, and pro-code approaches can coexist to scale AI adoption across large enterprises without compromising governance, security, or architectural integrity.
Drawing on real-world experience from automotive and FinTech transformations, the talk outlined practical frameworks for enabling business users, accelerating engineering teams, and maintaining enterprise-grade control. It addressed common failure patterns in AI programs and highlighted how leadership, platform design, and operating models determine whether AI initiatives remain pilots or deliver sustained business impact.
The session was designed for CXOs, enterprise leaders, architects, and policymakers seeking to move AI from experimentation to enterprise-wide execution.
E-Merge 2025
Born Intelligent: Building AI-Native Startups for a New World
Presented this keynote at E-Merge 2025, IIT Hyderabad.
The session explored how AI-native startups are fundamentally different from AI-enabled ones, emphasizing why intelligence must be embedded into architecture, operating models, & decision-making from day one.
Drawing on experience across enterprise platforms, startups, & global ecosystems, the talk examined how founders can leverage AI-first thinking, data-driven design, & scalable platforms to build resilient, future-ready ventures. It highlighted practical lessons on avoiding common pitfalls that limit scale, trust, & long-term differentiation.
The keynote also addressed critical considerations around responsible AI, governance, talent, & ecosystem readiness, underscoring how early architectural & leadership choices determine whether startups can compete in an increasingly intelligent digital economy.
The session was attended by founders, student entrepreneurs, technologists, & innovation leaders seeking to build startups that are born intelligent, not retrofitted.
Smart CIO and Summit Awards
Next Gen Cybersecurity AI driven threat Defense
The session explored how AI & GenAI are redefining cybersecurity, enabling organizations to shift from reactive defense models to predictive, intelligence-led threat detection & response.
Drawing on real-world experience across large, regulated enterprises, the talk examined how AI-powered threat analytics, behavioral monitoring, & automated response mechanisms can significantly reduce risk while improving speed, accuracy, & operational resilience.
The keynote also addressed leadership-level challenges including trust, governance, regulatory alignment, & accountability, emphasizing why cybersecurity in the AI era must be treated as a strategic, board-level capability rather than a purely technical concern.
The session participants were Entrepreneurs, CIOs, CISOs, technology leaders, & security practitioners focused on strengthening cyber defense strategies in an increasingly AI-driven threat landscape.
Devops Conference 2nd Edition
Observability 2.0: Building Autonomous DevOps with AI & GenAI Intelligence
Presented this keynote at the DevOps Conference, Delhi, on 9 July.
The session explored the evolution from traditional observability to Observability 2.0, where AI & Generative AI enable autonomous, self-healing DevOps systems rather than passive monitoring.
Drawing on enterprise-scale transformation experience, the talk examined how AI-driven insights, intelligent anomaly detection, & GenAI-powered operational intelligence can move organizations beyond dashboards toward predictive, prescriptive, & automated operations. It highlighted how observability data, when combined with AI, becomes a decision engine for improving reliability, velocity, & cost efficiency across complex platforms.
The keynote addressed practical challenges in adopting autonomous DevOps, including trust, data quality, & governance, & outlined how leadership & platform design are critical to making AI-driven operations sustainable at scale.
The session participants were CIOs, CTOs, DevOps leaders, platform engineers, SREs, & technology executives seeking to evolve DevOps from reactive execution to intelligent, self-adaptive systems.
Conversational AI & Customer Experience Summit Singapore 2025
The Rise of Multimodal AI Agents
Presented this keynote at the Conversational AI & Customer Experience Summit, Singapore 2025.
The session explored the emergence of multimodal AI agents capable of reasoning across text, voice, images, & enterprise data, and how these agents are transforming customer experience, operations, & decision-making.
Drawing on real-world enterprise implementations, the talk examined how agent orchestration, context awareness, & multimodal intelligence enable more natural, adaptive, & outcome-driven interactions. It highlighted practical patterns for moving beyond scripted chatbots toward autonomous, goal-oriented AI systems.
The keynote also addressed critical considerations around trust, governance, data readiness, & responsible AI, emphasizing the leadership & architectural decisions required to scale multimodal agents safely within enterprise environments.
The session was delivered to CXOs, AI leaders, product teams, & customer experience practitioners seeking to deploy next-generation conversational & multimodal AI at scale.
Step Dubai 2025
The Next Leap in Generative AI: From Chatbots to Multimodal Applications
The session explored the evolution of Generative AI from text-based chatbots to multimodal, agent-driven applications capable of reasoning across text, voice, images, & enterprise data.
Drawing on large-scale enterprise implementations, the talk examined how multimodal models, AI agents, & orchestration platforms are redefining user experiences, decision-making, & operational workflows across industries. It highlighted practical patterns for moving beyond conversational interfaces toward context-aware, outcome-driven AI systems.
The keynote also addressed critical challenges in scaling multimodal GenAI, including data readiness, governance, security, & cost control, emphasizing the leadership & architectural decisions required to deploy these capabilities responsibly at enterprise scale.
The session was delivered to CXOs, AI leaders, architects, & product teams seeking to move GenAI from experimentation to next-generation enterprise applications.
DeepfestAI 2025 Riyadh
DEEP DIVE AI’s Effect on Security
The session examined how AI is reshaping the cybersecurity landscape, introducing new risks such as deepfake-enabled phishing & AI-driven social engineering, while simultaneously enabling more transparent, accountable, & intelligent defense mechanisms.
Drawing on real-world enterprise security experience, the talk explored how AI can both undermine & strengthen security, highlighting emerging threat vectors as well as AI-powered detection, response, & governance capabilities. It emphasized the need to balance innovation with risk, particularly as organizations deploy AI at scale across critical systems.
The keynote also addressed leadership challenges around trust, accountability, regulatory alignment, & ethical AI, underscoring why security in the AI era must evolve beyond traditional controls toward intelligence-driven, adaptive defense models.
The session participants were Researchers, CISOs, CIOs, technology leaders, & policymakers seeking to navigate the dual impact of AI on security within an increasingly digital & automated environment.
Leap 2025 Riyadh
The Ever-Evolving World of Fintech Trends
The session explored how FinTech continues to evolve at the intersection of technology, regulation, & changing customer expectations, reshaping payments, lending, insurance, & digital financial ecosystems.
Drawing on large-scale enterprise & platform transformation experience, the talk examined emerging trends such as embedded finance, AI-driven credit decisioning, open APIs, & platform-led ecosystems, highlighting how these shifts are redefining speed, trust, & scalability in financial services.
The keynote also addressed leadership challenges around regulatory compliance, cybersecurity, & sustainable innovation, emphasizing why successful FinTech transformation requires strong governance, resilient platforms, & ecosystem collaboration.
The session was delivered to CXOs, FinTech leaders, product teams, & policymakers seeking to understand how FinTech trends are shaping the future of financial services at global scale.
ETCIO AI Vision Conclave
Measuring & Quantifying Cost, Risk & Value of AI Initiatives
Presented this Trilogue chat at the ETCIO AI Vision Conclave.
The session focused on how organizations can move beyond experimentation to systematically measure the cost, risk, & business value of AI initiatives in complex enterprise environments.
Drawing on real-world enterprise AI programs, the discussion examined practical frameworks for AI ROI assessment, risk quantification, cost governance, & value realization, helping leaders evaluate AI investments with the same rigor applied to core business initiatives. It highlighted why transparency, observability, & accountability are essential for sustaining AI adoption at scale.
The rilogue also addressed leadership challenges around AI governance, regulatory readiness, operating models, & executive decision-making, emphasizing the need for clear metrics that balance innovation with financial discipline & risk control.
The session participants were CIOs, CTOs, CXOs, data leaders, & policymakers seeking to make informed, outcome-driven decisions on enterprise AI investments.
4th Devops Conclave & Awards
Enabling User-Centric DevOps with AI, GenAI & Machine Learning
Presented this keynote at the DevOps Conclave & Awards 2024.
The session focused on how AI, GenAI, & Machine Learning are reshaping DevOps from siloed, process-heavy practices into user-centric, continuously evolving delivery models aligned with real customer & business outcomes.
Drawing on enterprise-scale DevOps transformations, the talk examined how intelligent automation, predictive analytics, AI-optimized CI/CD pipelines, & self-healing systems can eliminate bottlenecks, reduce manual effort, & improve reliability, speed, & security. It emphasized the shift from internal efficiency metrics to user-centric KPIs that measure experience, performance, resilience, & trust.
The keynote also highlighted foundational enablers such as shift-left security, cloud-native & serverless architectures, GitOps, data-driven decision-making, & continuous improvement cultures, underscoring how leadership mindset, data strategy, & platform choices determine DevOps maturity at scale.
The session's participants were CIOs, CTOs, DevOps leaders, platform engineers, SREs, CISOs, & technology executives seeking to build resilient, intelligent, & user-focused DevOps organizations powered by AI.
MongoDB Local Delhi
Reimagining Automotive Applications with MongoDB at Scale
Presented this keynote at the MongoDB.local Delhi 2024 event.
The session explored how CARS24 is re-visualising automotive applications, moving beyond transactional car buying & selling to build Orbit, a comprehensive automotive SuperApp that simplifies every aspect of car ownership & management.
The talk examined how Orbit brings together multiple services—including car buying & selling, finance, insurance, driver-on-demand services, service history, workshops, RTO checks, e-challan validation, vehicle insights, scrappage, FASTag management, & ratings—into a unified, seamless customer experience. Emphasis was placed on designing platforms that remove friction across the entire automotive lifecycle.
A key highlight of the keynote was the Autopilot (Driver on Demand) experience, where MongoDB Atlas real-time capabilities play a central role. The session showcased how Atlas Device Sync enables instant notifications for trip requests, seamless data synchronization across devices, & smooth transitions between online & offline modes—without data duplication or loss, even across shared accounts.
The keynote concluded by highlighting how MongoDB has been integral to enabling innovation at scale, supporting high-velocity operations, real-time experiences, & future-ready platform evolution. The session demonstrated how modern data platforms are critical to delivering reliable, scalable, & customer-centric automotive applications.
The session was delivered to developers, architects, platform engineers, & technology leaders interested in building real-time, scalable applications using modern data architectures.
CISO India Connect & Awards 2024
Generative AI & Identity Fraud: Challenges & Solutions
Presented this keynote at the CISO India Connect & Awards 2024.
The session examined how Generative AI & deepfake technologies are reshaping identity fraud, introducing sophisticated attack vectors while simultaneously enabling more advanced, intelligence-driven defense mechanisms.
Drawing on enterprise security experience, the talk explored how AI-powered anomaly detection, behavioral analytics, biometric verification, & real-time risk assessment can strengthen identity protection across digital platforms. It highlighted the growing importance of combining machine intelligence with adaptive security models to detect fraudulent behavior that traditional controls often miss.
The keynote also addressed the role of regulation, governance, & user awareness, discussing global responses such as emerging deepfake legislation, AI governance frameworks, & the need for education to counter AI-enabled deception. Emphasis was placed on balancing innovation with accountability in an era where identity, trust, & digital security are increasingly intertwined.
The session participants were CIOs, CTOs, CISOs, cybersecurity leaders, risk professionals, & policymakers focused on combating identity fraud in a rapidly evolving AI-driven threat landscape.
2nd Global Webinar on Artificial Intelligence & Data Science
Multimodal AI Agents
Presented this webinar on Multimodal AI Agents.
The session explored how AI agents that reason across text, voice, images, & enterprise data are redefining automation, decision-making, & user experience across modern digital platforms.
Drawing on enterprise-scale AI implementations, the talk examined how agent orchestration, context awareness, multimodal intelligence, & tool integration enable AI systems to move beyond single-channel interactions toward autonomous, goal-driven execution.
The webinar also addressed critical considerations around trust, governance, data readiness, cost control, & responsible AI, emphasizing the architectural & leadership decisions required to deploy multimodal agents safely at scale.
The session participants were Researchers, Scholars, AI leaders, architects, product teams, & technology practitioners seeking to design & operationalize next-generation AI agents in real-world enterprise environments.
Conversational AI & Customer Experience Summit
Multimodal AI Agents: Transforming Conversational AI & Intelligent User Experiences
Presented this keynote in Jakarta.
The session explored the rise of multimodal AI agents & Generative AI, highlighting how these technologies are transforming conversational AI, intelligent user experiences, & decision-making in complex domains such as financial analysis & FinTech.
Drawing on deep technical & enterprise experience, the talk examined how vision, language, images, audio, video, & structured data can be orchestrated within multimodal agents to enable richer reasoning, contextual understanding, & autonomous execution. It provided practical insights into technical architecture, system integration patterns, ethical considerations, & deployment challenges, supported by a real-world financial analysis use case leveraging multimodal agents.
In addition to the keynote, participation in a panel discussion focused on the evolving role of conversational AI in e-commerce, examining how AI-driven customer interactions are reshaping digital commerce, enhancing customer experience, & driving measurable business outcomes.
The session was delivered to AI leaders, architects, product teams, FinTech professionals, & industry stakeholders seeking to understand how multimodal AI agents can be responsibly designed & scaled to power next-generation intelligent applications across industries.
World finance council Fintech 2024 Singapore
AI & Business Transformation: Leveraging AI for Competitive Advantage
Presented this keynote at the World Finance Council.
The session explored how AI is reshaping business transformation, enabling organizations to create sustainable competitive advantage through intelligent decision-making, automation, & platform-led innovation.
Drawing on enterprise-scale transformations across regulated & high-growth industries, the talk examined how AI-driven insights, predictive analytics, & intelligent automation can improve speed, efficiency, & customer outcomes while strengthening resilience & trust.
The keynote also addressed leadership challenges around strategy alignment, governance, operating models, & responsible AI adoption, emphasizing why successful AI transformation requires more than technology investment—it demands clear vision, disciplined execution, & enterprise readiness.
The session was delivered to CXOs, business leaders, finance executives, & policymakers seeking to harness AI as a strategic lever for long-term growth & differentiation.
Conversational AI & Customer Experience Summit
RAG Systems in Conversational AI: Balancing User Needs & Business Objectives
Presented this keynote at the Conversational AI & Customer Experience Summit 2024.
The session examined how Retrieval-Augmented Generation (RAG) systems are becoming foundational to building accurate, trustworthy, & context-aware conversational AI that serves both user expectations & business goals.
Drawing on enterprise deployment experience, the talk explored how knowledge retrieval, grounding mechanisms, vector search, & prompt orchestration can significantly improve response accuracy while reducing hallucinations & operational risk. It highlighted architectural patterns that enable conversational systems to remain up-to-date, explainable, & aligned with enterprise data sources.
The keynote also addressed the inherent trade-offs in RAG-based systems, including latency, cost, relevance, governance, & content control, emphasizing how design choices directly impact user experience, scalability, & ROI. Practical guidance was shared on aligning RAG implementations with business workflows, compliance requirements, & measurable outcomes.
The session was delivered to AI leaders, architects, product teams, & customer experience practitioners seeking to deploy RAG-powered conversational AI systems that balance user trust with business performance.
Conversational AI & Customer Experience Summit
How to Get Your Conversational AI Project Right
Presented this session at the Conversational AI & Customer Experience Summit 2024 (18–19 April).
The session focused on the practical realities of designing, deploying, & scaling conversational AI initiatives that deliver real business & user value, rather than stalled pilots or fragmented experiences.
The discussion explored how user-centric conversational AI design—including intuitive flows, clear prompts, & personalized interactions—directly impacts adoption, trust, & effectiveness. It examined strategies for seamless integration of conversational AI with existing enterprise systems, such as CRM platforms, to ensure reliable data exchange, operational efficiency, & end-to-end workflow alignment.
The session also addressed how to optimize conversational AI training using diverse datasets, deploy solutions across multiple channels, & maintain consistent user experiences at scale. Critical emphasis was placed on ethical considerations, including bias in training data, responsible data usage, transparency, & accountable AI decision-making.
Finally, the talk outlined how organizations can define & track meaningful KPIs such as user satisfaction, response accuracy, operational efficiency, & cost savings, enabling leaders to measure success, articulate ROI, & build stakeholder confidence in conversational AI programs.
The session was delivered to CXOs, product leaders, AI practitioners, & customer experience professionals seeking to operationalize conversational AI with clarity, discipline, & measurable impact.
Microsoft UX day 2024
FinTech Revolution: The Power of AI in Fraud Detection & Financial Security
Presented this keynote at Microsoft UX Day 2024.
The session explored how AI, Machine Learning, & Generative AI are transforming FinTech, with a deep focus on fraud detection, identity protection, & secure financial transactions in high-scale digital ecosystems.
Drawing on real-world experience from NBFC & FinTech platforms, the talk examined the evolution of fraud management—from traditional rule engines to supervised learning, unsupervised anomaly detection, deep learning, & graph-based intelligence. It highlighted how advanced feature engineering, behavioral analytics, & real-time risk scoring enable institutions to detect complex fraud patterns, fraud rings, & account takeovers with greater accuracy & speed.
The keynote also covered how GenAI enhances fraud systems through synthetic data generation, adversarial testing, proactive threat simulation, & adaptive learning, while addressing critical challenges such as data quality, model drift, explainability, real-time processing, & integration with legacy systems.
Strong emphasis was placed on ethical considerations, including fairness, bias mitigation, transparency, privacy, regulatory compliance, & customer trust, underscoring why AI-driven fraud management must balance innovation with accountability.
The session participants were technology leaders, UX professionals, architects, FinTech practitioners, & security teams seeking to design trustworthy, scalable, & resilient AI-powered financial systems.
Step Dubai 2024
Digital Payments & Wallets: Changing the E-Commerce Landscape
Presented this keynote at STEP Dubai 2024.
The session examined how digital payments & wallet technologies are reshaping the e-commerce landscape, driven by rapid adoption of mobile wallets, real-time payments, cross-border commerce, & emerging payment rails.
The talk explored key trends influencing online payments, including mobile wallet innovation, user experience design, embedded finance, & crypto-adjacent integrations, highlighting how these capabilities are redefining convenience, speed, & customer expectations. It also addressed how security architectures, fraud prevention mechanisms, & AI-driven risk controls are evolving to protect digital transactions in an increasingly complex threat environment.
A strong focus was placed on cross-border payments, examining how digital payment platforms are addressing challenges related to settlement, currency conversion, compliance, & scalability—particularly in high-growth regions. The session further discussed how businesses can remain competitive by aligning payment strategies with regional market dynamics, emerging consumer behaviors, & platform ecosystems.
The keynote also covered regulatory compliance considerations, offering insights into navigating payment regulations across jurisdictions, with specific perspectives on UAE & African e-commerce markets. Emphasis was placed on balancing innovation with regulatory discipline to build trusted, scalable payment ecosystems.
The session was delivered to CXOs, FinTech leaders, e-commerce executives, product teams, & policymakers seeking to understand how digital payments & wallets are driving the next phase of global e-commerce transformation.
Deepak Gupta
Group CTAIO | Group President | ex- CARS24, Airtel International | 2xTop Al & Data Voice | Forbes Technology Council Member Leader | FinTech | IIT-Delhi |AI & ML Global Speaker | Startup Mentor
Hyderābād, India
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