Technology Strategy for Managers: Innovation and Modern Challenges

Main Speaker

Learning Tracks

Course ID

42908

Date

21-06-2026

Time

Daily seminar
9:00-16:30

Location

Daniel Hotel, 60 Ramat Yam st. Herzliya

Overview

In this seminar we will explore how AI is reshaping the technology organization, from business processes and product strategy to software engineering, architecture, operations, governance and risk management. We will examine how CTOs and technology leaders can enable AI adoption responsibly across the enterprise, including cost control, budgeting, visualization, auditing, security and organizational governance. The seminar will also cover AI-native architectures, agents, MCP, automation, RPA, research, product, development and QA, while redefining the role of engineers and technology teams in an AI-powered delivery model. We will conclude with the key risks, professional considerations and future-facing technologies, including a short perspective on Quantum Computing.

Who Should Attend

Technology leaders and Managers

Prerequisites

Course Contents

AI-Native Organizations: Strategy, Business Processes, and Governance

  • From digital transformation to AI-native transformation
  • AI in business processes
  • Enabling AI in organizations
  • Governance, visualization, and auditing
  • AI in large organizations
 

AI-Native Architecture, Platforms, Agents, and Integration

  • AI-native architecture foundations
  • Event-driven and reactive AI systems
  • Microservices and Function-as-a-Service in the AI era
  • Agents and agentic systems
  • MCP and tool-based AI integration
  • Consoles, web agents, and desktop agents
  • Chatbots
 

AI-Powered Work: RPA, Research, Product, Development, and QA

  • AI for RPA and operational automation
  • AI for research and analysis
  • AI for product management
  • AI for software development
  • Programming languages and engineering knowledge
  • AI for QA and delivery
  • Best practices for AI-assisted work
 

AI Operations, Risk, Security, Professional Future, and Quantum Computing

  • Ops in the AI era
  • AI cost and FinOps challenges
  • AI security risks
  • Advanced AI risks
  • Chatbot, Agent and MCP risk landscape
  • The future of software engineering
  • Pros and cons of AI adoption
  • Short final session: Quantum computing
   

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