Day 1 & 2
Ladislava Knihová
Ladislava Knihová is a lecturer at the Institute of Management Studies (Masaryk Institute of Advanced Studies, Czech Technical University) and Anglo-American University. She specializes in digital marketing, education-based marketing, and professional English, strongly focusing on integrating technology into teaching. She previously spent seven years at Harley-Davidson Prague, working closely with the marketing and communication department, overseeing content marketing, and leading staff training.
Ladislava will be the lead instructor and principal speaker in the first two days of this course.
Day 1: AI in Business and Marketing
AI in the Rapidly Changing Business World
9:00 – 10:30
Participants will explore how AI is revolutionizing industries, not just in theoretical terms but through real-world case studies that demonstrate its application in corporate strategy, competitive advantage, and operational efficiency.
Workshop: Leveraging AI for Strategic Decision-Making
11:00 – 12:30
Participants will actively engage in strategic decision-making exercises, using AI-driven tools to analyze market trends, customer insights, and predictive analytics. These are not passive sessions, but rather guided hands-on experiences.
AI in Marketing: Designing Immersive Customer Experience
13:30 – 14:30
AI in Marketing and Immersive Customer Experience, directly linked to Kotler’s Marketing 6.0. We will talk about multisensory engagement, AI-powered personalization, metaverse-driven brand experiences, and discuss marketing in the metaverse and blockchain. Participants will explore how AI contributes to creating deeply engaging, human-centric interactions that drive brand loyalty and customer satisfaction.
Workshop: Creating Immersive Experiences with AI
14:30 – 15:30
This hands-on session brings Philip Kotler’s Marketing 6.0 to life, exploring how AI-powered technologies revolutionize customer engagement. Participants will experiment with AI-driven personalization, augmented reality, virtual environments, and multisensory marketing to design immersive brand experiences. Through interactive exercises and real-world case studies, attendees will learn how to craft compelling customer journeys that enhance brand loyalty.
Panel Discussion: Building Trust with Responsible AI
16:00 – 17:00
As AI becomes integral to business operations, trust, ethics, and transparency are crucial for its successful adoption. This expert panel will explore the ethical challenges of AI implementation, bias mitigation, and regulatory frameworks, providing insights into how organizations can foster responsible AI practices. Industry leaders and academics will share strategies for building AI systems that are fair, explainable, and aligned with corporate values, ensuring long-term success and societal acceptance.
Day 2: The Future of Work & AI in HR
AI and the Future of Corporate Learning: Empowering Through Immersive Newskilling
9:00 – 10:30
As AI reshapes industries, corporate learning must evolve to keep pace. This session explores how AI-powered learning platforms, immersive technologies, and adaptive training models revolutionize workforce development. Participants will learn the difference between reskilling, upskilling, and newskilling, learn how newskilling (continuously acquiring future-proof skills and AI-driven competencies) is essential for organizations facing rapid technological advancements, and discover how businesses can leverage AI to create personalized, interactive, and engaging learning experiences that enhance employee retention and performance.
Workshop: Cracking the Code – Navigating Job Interviews in the Era of Generative AI
11:00 – 12:30
As generative AI revolutionizes hiring processes, both candidates and recruiters must adapt to new tools and methodologies. This interactive workshop, inspired by a recent MIT Sloan Management Review training and articles, explores: How AI is being used in interview preparation, resume screening, and candidate assessment; The challenges and opportunities AI-driven hiring creates, including bias mitigation and accuracy in skills evaluation; The implications for assessing true expertise in an era where AI-assisted responses may obscure a candidate's actual competencies.
Future-Proofing HR – Exploring AI-Enhanced Recruitment Strategies
13:30 – 14:30
With AI reshaping talent acquisition, HR professionals must embrace intelligent hiring solutions that optimize efficiency while maintaining fairness. In this session, we will explore: AI-powered candidate screening, automated talent matching, and predictive analytics for hiring; The role of AI in diversity, equity, and inclusion (DEI) efforts within recruitment. The balance between automation and human intuition—where should AI complement HR, and where should it not replace human judgment? We will see real-world case studies on companies successfully integrating AI-driven HR solutions.
Interactive Team & Group Discussions: AI and Human Capital – Finding the Perfect Balance
14:30 – 15:30
This interactive discussion session brings together managers and HR professionals from various industries to: Exchange insights, experiences, and strategies for integrating AI into human capital management; Explore how AI can enhance productivity, support decision-making, and reshape workforce roles; Discuss how companies can ensure that human creativity, empathy, and leadership remain at the core of organizational success; Engage in peer-to-peer learning and best practice sharing to gain fresh perspectives on the future of AI-powered workforce management.
Closing Session: AI’s Role in Shaping Tomorrow’s Workforce
16:00 – 17:00
Bringing together the insights from Day 1 and Day 2, this final session reflects on how AI is reshaping workforce dynamics, skill requirements, and career development. Key takeaways from discussions and workshops; Future trends in AI-driven workforce transformation and their impact on leadership, talent retention, and organizational agility; Actionable strategies for businesses and professionals to thrive in an AI-powered future.
Day 3 & Day 4
Underlying Principles of AI
Principles of Machine Learning
Day 3, 9:00 - 10:15
Vojtěch Franc (CTU)
Vojtěch Franc is a Machine Learning expert and author of several popular ML software packages.
Talk Summary
Vojtěch will introduce and discuss various types of ML tasks and learning scenarios. He will illustrate the ever-increasing importance of data and ways to deal with incomplete, biased, or imbalanced data.
AI Needs Eyes: Computer Vision
Day 3, 10:30 - 11:45
Jiří Matas (CTU)
Jiří Matas has made substantial contributions to Computer Vision and Machine Learning. He is one of the most cited scientists in CZ and has led tens of applied research-oriented projects.
Talk Summary
Jiří will focus on explaining the state of the art approaches in Computer Vision and present his view on their principles, and their current strengths and weaknesses.
AI in Robotics and Automotive
Day 3, 12:30 - 13:45
Tomáš Svoboda (CTU)
Tomáš Svoboda is a Machine Learning expert with broad expertise in robotics and automotive. He has been a co-leader of the CTU robotics team for the DARPA SubT robotic challenge and led several research academic and industrial projects. Notably, through joint projects with firefighters from various European countries, he may share experiences on how users accept or not particular AI solutions.
Talk Summary
Tomáš will describe the aspects and use cases of deploying AI and ML to robots and autonomous cars, including ways of minimizing manual supervision and using self-supervised learning instead. He will also touch on neural-symbolic methods which is a new area of research that takes physics and automatic control into the machine learning realm.
Natural Language Processing, Large Language Models
Day 3, 14:00 - 15:15
Jan Drchal (CTU)
Jan Drchal is known for having developed innovative algorithms for NN optimization and data-driven methods.
Talk Summary
Jan will talk about approaches used in language processing, including embeddings, ways to evaluate the systems, and automated fact-checking.
Talks by Industry Experts
Use Cases in the Domains of Text, Speech and Other Modalities. AI Governance and Aspects of AI Act.
Day 3, 15:30 - 17:15
Jan Kleindienst (The MAMA AI)
Jan Kleindienst is a co-founder and co-CEO of The MAMA AI, and a long-time IBMer who made substantial contributions to the success of the legendary IBM Watson. He is an experienced director of an AI R\&D lab and enterprise with a demonstrated history of working in the cutting-edge information technology and services industry.
Talk Summary
Jan’s talk will cover practical AI use cases in the areas of text, audio, and other modalities. It will discuss typical KPIs and the process of managing and maintaining the AI projects (AI Governance), including insights on the AI Act.
Generative AI and AI Agents
Day 4, 9:00 - 10:30
Lukáš Drápal (Make)
Lukáš Drápal is a Staff Machine Learning Engineer at Make with a strong background in tech, financial services, and consultancy. Lukáš leads and delivers strategic AI projects—from creating personalized recommendations to Generative AI products like Make AI Assistant or AI Agents.
Talk Summary
In his talk, Lukáš will share his experience and focus on the intersection of AI and software automation. He will introduce the Make platform and its AI-driven tools. And he will explore AI agents—autonomous processes that adapt to changes—highlighting their strengths and limitations.
The Practices and Perils of Deploying AI in a Corporate World
Day 4, 10:45 - 12:15
Petr Somol (Gen)
Petr Somol is the AI Research Director at Gen Digital and Research Fellow at the Czech Academy of Sciences. He is a world-class expert in the fields of Pattern Recognition and Cybersecurity. Petr is great in solving problems on the edge between practical programming and mathematics. He leads the teams which invent novel algorithms and implement them to top security products (e. g. Norton Genie.)
Talk Summary
Petr will discuss the challenge of building large-scale dependable AI systems with impact on users worldwide, including users’ trust, data privacy and AI accuracy guarantees. How far the generalization goes when compared to human encoded solutions? He will also present several case studies.
What It Takes to Implement AI in Your Company
Day 4, 13:00 - 15:00
Jan Procházka (Datasentics)
Jan Procházka is the Global Data Strategist & CTO at Vertical AI Solutions (Atos/Eviden BDS) and DataSentics, an Eviden business. Throughout his career, Jan has gained substantial expertise as a developer, DWH operations lead, solution architect, manager and CTO.
Talk Summary
Jan will offer his insights into the following questions: What is a good way to start implementing AI in a company? What data are necessary, and how many administrators are needed for implementing and maintaining the solutions?
AI Strategy, Governance and Implementation
Day 4, 15:15 - 16:45
Ondřej Vaněk (Blindspot)
Ondřej Vaněk is the Co-founder and CEO of Blindspot Solutions and Chief AI Officer in ADASTRA Group. Ondřej has vast experience in identifying opportunities for projects with high added value for the customer and implementing and delivering complete AI solutions. He has strong publication record in the fields of agent technologies and cybersecurity research.
Talk Summary
Ondřej will share his experience in AI strategy and governance. He will talk about identifying suitable AI use cases, and implementations of AI solutions across more than ten years of existence of Blindspot.