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Explore my journey through the world of public speaking in this section, where I recount experiences and insights from various speaking engagements. These posts offer reflections, key messages, and the impact of discussions on audiences and myself. Dive into the realms of data science, digital transformation, and leadership, drawing on my twenty years of expertise.
This space is designed to foster continued learning and dialogue, enriching our collective understanding of technology’s role in shaping the future.

Radio interview at the Swiss national Radio LoRa on Artificial Intelligence and Generative AI

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I am thrilled to announce my upcoming interview with national Radio LoRa, Switzerland’s oldest community radio station, to discuss the transformative impact of Artificial Intelligence and Generative AI for business and our lives.

For the first time in history, we are encountering AI agents that surpass human intelligence in various tasks. This unprecedented development presents both opportunities and challenges.
As AI agents increasingly surpass human capabilities in various tasks, we find ourselves at a crossroads that presents both incredible opportunities and formidable challenges. This conversation is timely, especially in light of recent warnings from the latest Turing Award winners, Andrew Barto and Richard Sutton, about the perils of rushing AI models to market without adequate safety measures.

In our discussion, indeed we will tackle profound questions such as:
• This time is different: why Generative AI promises to make a revolution in human history.
• How will AI reshape our daily lives and our jobs? The big transition.
• How can businesses and workers harness this new revolution for the better?

With around 300 dedicated program makers broadcasting in 20 different languages, Radio LoRa provides a unique platform for this important discussion in Switzerland.

Join me as we explore strategies to navigate one of the most significant revolutions in human history.

Stay tuned for insights and reflections on how we can harness the power of AI to drive positive change and innovation.

Link Radio LoRa: https://www.lora.ch/ 

Massimo Buonaiuto’s interview at Radio Lora

Generative AI in Banking: From Experiment to Core Infrastructure​

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Generative AI in Banking: From Experiment to Core Infrastructure

This post is a written companion to a presentation I gave at a 2025 conference on Generative AI applied to banking. Downoad the presentation in PDF and PowerPoint.

The talk — “Generative AI in Banking”, a fifteen-slide, in-depth analysis prepared for technology directors of European banks — walked through where the economic value sits, which use cases are already live in EU institutions, how to architect for it, and what the EU AI Act demands of every deployment. This article covers the same ground in long form; if you attended the session, consider this the extended version of the deck.

The economic case: a productivity opportunity the size of a business line

The McKinsey Global Institute estimates that generative AI could add $200–340 billion of annual value to the global banking sector if use cases were fully implemented — equivalent to 2.8–4.7% of total industry revenues and 9–15% of operating profits, largely through increased productivity. Banking ranks among the sectors with the largest opportunity relative to revenue. By segment, the largest absolute gains land in corporate banking (~$56 billion per year) and retail banking (~$54 billion per year). 
 
Where does that value concentrate? Across 63 use cases in 16 business functions, roughly 75% of the total sits in four areas, all of them core to banking:
  • Customer operations — chat and voice assistants, agent support, call summarisation
  • Marketing and sales — personalised offers, content generation, next-best-action
  • Software engineering — code generation, testing, documentation, legacy migration
  • R&D — research synthesis, product design, knowledge discovery
Two-thirds of senior digital and analytics leaders at a 2023 McKinsey forum said generative AI will fundamentally change how they do business. The first pilots target productivity because banking economics are under pressure — but the same models can reshape distribution and service models.

Europe is not waiting: generative AI is the current wave

AI in euro area banking is nothing new — earlier waves built fraud detection and credit scoring. Generative AI is the present wave, and supervisory data shows it is already entering production:
  • ~90% of significant euro area banks already use AI technologies (ECB, 2025 data). Fraud and cybercrime detection leads (used by more than half), followed by marketing (~50%), chatbots (40%) and credit scoring (30%).
  • ~40% of EU banks already use general-purpose AI, led by customer support and internal-process optimisation (EBA RAQ, autumn 2024).
  • 55% of surveyed banks use general-purpose or agentic AI in consumer-facing processes (EBA sample, 2025).

Three domains already deliver measurable value

My presentation deliberately grounded its use cases in what the EBA actually observes in EU banks — not a vendor wish list. Three domains stand out.
 

1. Customer operations — the first production beachhead. 
Volumes are high, text-heavy, and quality is measurable. Generative AI assistants resolve customer queries and answer employees’ questions on internal policies; models transcribe and summarise contact-centre audio and draft next-best responses for operators. Resolution rate, handle time and customer satisfaction give a clean before/after read — rare for AI projects. And because routine queries sit outside regulated decision-making, early deployments rarely trigger high-risk obligations.

2. Software engineering — your own developers are the fastest payback. 
Banks use general-purpose AI to generate code from natural language, detect errors, support testing, convert between languages and migrate legacy systems — a structural problem in European core banking estates. Coding assistants can run against internal repositories under the bank’s own access controls, so no customer data leaves the perimeter. It also compounds: faster delivery accelerates every other AI initiative on the roadmap. For context, significant euro area banks invested over in digital technologies including AI in 2025 (~1.3% of tangible assets, ECB).

3. Risk, compliance and legal — the quiet revolution is in documents. 
Risk and legal teams are text factories. Observed uses include monitoring legal and regulatory change, summarising court rulings, assessing contractual clauses, drafting regulatory reports and preparing audits. One boundary matters: drafting and summarising is low-risk assistance; deciding is not. Under the EU AI Act, AI used to evaluate creditworthiness or set credit scores is (Annex III), carrying conformity, data-governance, human-oversight and logging duties.
 

Architecture: one governed gateway, many models

The genera reference architecture has four layers: an experience layer (customer channels and employee desktops), a GenAI gateway — model routing, prompt and output guardrails, RAG orchestration over verified sources, identity and consent checks, and full logging for audit and AI Act record-keeping — a model layer, and a governed data-and-knowledge layer.  Governance wraps every layer: model risk management, AI Act conformity, DORA vendor oversight and GDPR data protection.
On sourcing, the EBA finds that most EU banks deploy general-purpose AI through third-party cloud APIs (flexibility and scale), a lower proportion run open-source models on-premises (maximum control, more skills required), and only a small number build proprietary models — in-house effort concentrates on use cases tied to proprietary knowledge such as credit scoring and customer analytics. Most banks combine one to three approaches, with RAG and fine-tuning adapting models to specific applications.
 

Regulation has a calendar — plan backwards from 2026

The EU AI Act (Regulation (EU) 2024/1689) phases in over three years:
  • Aug 2024 — in force; governance structures set up. Start your use-case inventory.
  • Feb 2025 — prohibitions on manipulative practices apply, plus the AI-literacy duty for staff.
  • Aug 2025 — obligations for general-purpose AI models apply.
  • Aug 2026 — high-risk obligations apply, covering creditworthiness assessment and credit scoring: data governance, human oversight, logging, conformity.
  • Aug 2027 — extended deadlines for AI embedded in regulated products conclude the phase-in.
Penalties reach €35 million or 7% of global turnover. Alongside it, DORA (in force since 17 January 2025) applies ICT risk management, incident reporting and third-party register duties to AI vendors and cloud model APIs alike. The practical rule: classify every use case by risk tier before it ships — retrofitting conformity is slower and more expensive than building it into the gateway from day one.
The supervisors’ observed challenges map directly onto platform decisions:
Risk (as observed by the EBA) Control (built into the platform)
Hallucinations and inaccurate output Ground every answer via RAG over verified sources; block free-form generation in customer flows; human review for consequential replies
Input-data quality, governance and consent Curated, versioned, quality-checked corpora; GDPR consent and purpose limitation enforced at the data layer
Reliance on third parties Model routing as insurance: at least two qualified models per critical flow; DORA register, exit plans, portability tests
Opaque logic Log prompts, sources and outputs; generate customer-facing reason statements from the same record

The roadmap: foundation, scale, industrialise

A pragmatic 24-month sequence is the following:
  1. Foundation (months 0–6) — gateway MVP with routing, guardrails and logging; a full use-case inventory classified by AI Act risk tier; the first domain live (developer coding assistants, with a measured baseline).
  2. Scale (months 6–18) — three use cases in production across service, engineering and document work; a RAG platform with curated corpora; a second qualified model per critical flow.
  3. Industrialise (months 18–24) — high-risk conformity proven before August 2026; model validation, monitoring and retraining as routine; unit economics tracked (cost per resolved contact, per delivered feature).
Investment posture is measured, not blank-cheque: more than half of respondent EU banks plan to invest up to 0.25% of equity in general-purpose AI; around 21% plan above that (EBA RAQ, autumn 2024).
 

What to do on Monday

Three priorities close the presentation, and they work just as well here:
  1. Stand up the GenAI gateway. Routing, guardrails, RAG and logging as shared infrastructure — not rebuilt per use case.
  2. Pick three measurable use cases. Start where the EBA sees production today: customer support, coding, document work.
  3. Classify before you build. AI Act risk tiering in the intake process; high-risk conformity ready before August 2026.
Build the platform once. Then scale use cases into it — with the AI Act’s clock as your planning horizon. 

Lead Speaker at “Let’s Talk AI” with Dalith Steiger-Gablinger, 31 October 2024 in Zurich, Switzerland

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I will be a lead speaker at the “LET’S TALK” event, 31 October 2024 | Zurich, Switzerland. 

AI – This Time is Different!? Implications for the World of Work

For years, we’ve explored the rapidly shifting dynamics of work under Industry 4.0, characterized by new ways of working, digital transformations, and the rise of innovative leadership. The future workplace will undoubtedly look vastly different from today’s. Since the advent of accessible AI technologies like ChatGPT, the speed of digital transformation has skyrocketed, fundamentally reshaping industries and workflows. But amid this technological revolution, one pressing question remains: which strategies truly drive success in today’s organizations?

In both professional and personal circles, key questions continue to spark debate:

  • Will human roles remain essential in the future workplace?
  • Which professions are most vulnerable to AI-driven automation?
  • What key challenges must be tackled to integrate AI profitably and effectively within our organizations?
  • What are the critical success factors, and what common pitfalls should we avoid when leveraging AI to its full potential?

As we stand on the brink of this new era, the answers to these questions will define the future of work.

Dalith Steiger and Massimo Buonaiuto, two renowned experts in the field of artificial intelligence and internationally sought-after speakers, will be in Zurich on 31 October 2024 to shed light on the opportunities, risks and dangers of AI, the current possibilities and challenges, from the following perspectives.

Dalith Steiger - AI for GoodDalith Steiger-Gablinger (Venture Partner, AI Strategist, Innovator, Keynote Speaker, Co-Founder SwissCognitive) will focus on the ‘interface’ between people and technology and highlight the opportunities beyond the risks: she addresses concerns and fears, shows how AI is successfully introduced into the corporate world in practice and which principles must be observed in order to be able to use the opportunities offered by AI. She says: “AI IS MORE THAN JUST TECHNOLOGY!”

 


Massimo Buonaiuto (Director AI at EPAM, AI-Transformation Leader from the very beginning) will highlight the real risks we face. He will explore what society, business leaders, managers, and employees must focus on to avoid being overwhelmed by these advancements, and instead play an active role in shaping the future. Massimo will reveal the hidden dangers and the radical changes that will happen in AI-First companies, especially in recruitment processes, impact of AI automation on Corporate Organizational Structures, talent mismatching and the challenges of team working with AI agents… He states: Generative AI – This time it’s different! Be the revolution!

The organizer: https://www.schluchterlicci.ch/e/company/

Venue:

Efficiency Club – Haus zum Herkules
Rennweg 58
8001 – Zurich
 
Agenda:
Doors open at 4:15 p.m.
Welcome, keynotes & panel at 4.45 p.m. (English!)
End of the event: at 6.00 p.m.
 
 

Interview at the podcast “The Leadership Lab” on Spotify, 5 October 2024

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Excited to share my latest conversation on “The Leadership Lab” podcast, now available on Spotify.

I had the pleasure of joining Anthony Kelly to discuss how generative AI is fundamentally transforming our society.

We are at a pivotal moment, for the first time in human history, we face intelligences that surpass our own: we have created the very intelligent aliens we once imagined would land on our planet. That is Generative AI, and the impact for human society will be immense.
“Humans have authored 128 million books. Now, AI systems are not just reading them but also training on the entire Internet. With this wealth of information, generative AI is gaining superhuman capabilities, far beyond our imagination” (Nello Cristianini https://lnkd.in/eM44ztE7)

“Humans are limited to a few billion words in a lifetime, AI thrives on trillions, transcending linguistic constraints and can grasp previously elusive concepts, offering a clearer understanding of the world and reshaping the landscape of knowledge.” (Ilya Sutskever, OpenAI)

I explore what this revolution means for people, the future of work and the revolution we can steer.


Link to the announcement: link

Listen on Spotify: https://lnkd.in/es88-76h



Speaker at “The Leaders Dialog Summit”, 2-4 July 2024 in Kassel, Germany

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I will speak at the next conference “LEADERS DIALOG“, 3th – 4th July 2022 | Kassel, Germany. 

LEADERS DIALOG CONFERENCE: NAVIGATING THE FUTURE OF DIGITALIZATION WITH INSIGHTS FROM INDUSTRY LEADERS

“AI Will Be a Billion Times Smarter 💡 Than Humans before 2037 ” (Mo Gawdat, Former Chief Business Officer of Twitter/X) – “We express profound concerns about massive labour disruptions 📉 … and could lead to further automation of blue-collar jobs. AI would affect almost 40 per cent of jobs around the world 🌍” (International Monetary Fund, IMF)


LEADERS DIALOG CONFERENCE: NAVIGATING THE FUTURE OF DIGITALIZATION WITH INSIGHTS FROM INDUSTRY LEADERS

I’m thrilled to announce my participation at the Leaders Dialog conference in Kassel, Germany, on the 3rd and 4th of July 2024. This event is a pivotal gathering for DACH companies to explore the evolving landscape of digitalization. My talk will focus on the revolution of the Generative AI, offering insights into cutting-edge technology trends and presenting compelling business cases to inspire other leaders in this digital revolution. 

The Leaders Dialog presents a unique opportunity for decision-makers to broaden their perspectives by engaging with peers from diverse sectors. This exclusive networking event brings together leaders from business, science, and politics, providing strategic insights and fostering collaborations in a confidential setting. 

In the rapidly changing digital environment, the conference will shed light on crucial topics such as adapting to new technologies, leveraging AI opportunities, enhancing data science capabilities, optimizing smart factories, and innovating supply chains.

Join us in Kassel to gain valuable knowledge and connect with industry frontrunners shaping the future of digital transformation.

In this comprehensive presentation, Massimo Buonaiuto, an esteemed international speaker and Principal Scientist with over two decades of experience in data science and AI innovation, explores the transformative potential of Generative AI in revolutionising processes and manufacturing. Massimo has a distinguished career, having worked with leading organisations such as DSM-Firmenich, the United Nations, and Fairtrade Handels, where he has consistently driven impactful digital transformation initiatives.

Drawing from his extensive professional experience, Massimo offers a complete perspective on how Generative AI can serve as both an asset and a challenge for employees and employers. He will provide an in-depth analysis of the profound changes that Generative AI brings to the manufacturing sector, highlighting its capacity to streamline processes, enhance efficiency, and foster innovation. Furthermore, Massimo will address the broader implications of AI adoption, including the potential for significant labour market disruptions and the necessity for companies to develop robust strategies for workforce adaptation and reskilling.

Attendees will gain valuable insights into the dual nature of Generative AI’s impact. On one hand, it promises unprecedented advancements in productivity and creative capabilities, empowering businesses to achieve new heights of excellence. On the other hand, it poses challenges that require thoughtful consideration and proactive management to mitigate risks and ensure a harmonious transition.

Massimo’s presentation will also cover real-world examples and case studies from his tenure at major international organisations, illustrating successful implementations of Generative AI and the lessons learned. He will delve into strategic approaches for leveraging AI technology while maintaining a balance between technological innovation and human-centric employment practices.

Join us at this international conference to hear from Massimo Buonaiuto, whose expertise and visionary outlook will provide a comprehensive understanding of the future landscape of Generative AI in manufacturing and beyond. His insights will equip leaders with the knowledge and strategies needed to navigate the evolving digital terrain effectively, fostering sustainable growth and innovation in their organisations.

List of speakers: click here

Agenda: click here

Link to the website of the conference: https://leadersdialog.com/

Moderator at the ITDACH Roundtable meeting on Artificial Intelligence and IoT on April 25th, 2024

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 I’m thrilled to announce that I’ll be moderating the upcoming roundtable ITDACH Roundtable meeting on Artificial Intelligence and IoT on April 25th, 2024. We’ll be delving into some fascinating topics, including Generative AI in the Enterprise, enhancing creativity and content generation, Natural Language generation (NLG) for business communication, and AI-driven product and service Innovation. We’ll also be exploring the importance of personalization and customer experience, and how to make the most of new technology in corporate organizations.

 

Speaker at the Global TechOps Leadership Team of Incyte on Generative AI – 20th February 2024 in Morges, Switzerland

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I will speak at the next Leadership Meeting at Incyte, 14th February 2024 | Morges, Switzerland.

Impact and Applications of Generative AI in the Pharmaceutical Industry

I am pleased to present an overview of the presentation I will make to the Leadership Team of Incyte, a Pharmaceutical Company based in Morges, Switzerland.

I will focus on the transformative role of Generative AI across various sectors in the pharmaceutical industry, including its impact on workforce and key applications in drug development, clinical and commercial supply, manufacturing, quality assurance, and regulatory submissions.

Generative AI and Its Impact on Workforce and Employees: This section will explore how generative AI is reshaping the workforce landscape. We will delve into the potential for enhanced productivity, the creation of new roles, and the necessity for reskilling and upskilling employees to adapt to AI-driven environments.

Application to Drug Development: We will examine how generative AI accelerates drug discovery processes, from identifying new drug candidates to predicting drug-target interactions. The focus will be on the reduction of time and costs, and the increase in the efficiency of R&D processes.

Application to Clinical and Commercial Supply – Planning & Forecasting: This segment will cover how generative AI can revolutionize supply chain management. We will discuss AI’s role in demand forecasting, inventory optimization, and enhancing the agility of supply chain responses to market changes.

Application to Manufacturing: Here, we will explore the integration of generative AI in manufacturing processes. The emphasis will be on predictive maintenance, process optimization, and how AI can aid in scaling production while maintaining high-quality standards.

Application to Quality Assurance: This part will address the utilization of generative AI in quality assurance, focusing on automated quality checks, real-time monitoring, and predictive analytics to anticipate and prevent quality issues.

Application to Regulatory Submission (CMC Submission): Finally, we will discuss the application of generative AI in regulatory submissions, especially in Chemistry, Manufacturing, and Controls (CMC). The focus will be on how AI can streamline data analysis, enhance documentation accuracy, and ensure compliance with evolving regulatory standards. This application promises to significantly reduce the time and resources required for regulatory submissions, while maintaining the highest levels of accuracy and compliance.

Link to the website of the Incyte: https://incyte.com/


Speaker at “R&D 4.0 Strategy Day “, 30th November 2023 in Zurich, Switzerland

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I will speak at the next conference “R&D 4.0 Strategy Day “, 30th November 2023 | Zurich, Switzerland. 

Generative AI in the Industry 4.0

In this compelling presentation, Massimo Buonaiuto, an international speaker and Principal Scientist with over 20 years of experience in data science and AI innovation, describes how Generative AI will empower revolutionize R&D processes and manufacturing. Drawing from his extensive experience at leading organizations like DSM-Firmenich, United Nations, and Fairtrade Handels, Massimo offers a nuanced perspective on how ChatGPT can be both an asset and a challenge for employees and employers alike.
What are the next steps in R&D transformation? At 4.0 Strategy Day (redev40.com) on Nov 30 in Zurich and online R&D professionals discuss latest R&D trends for the digital age in plenary sessions and networking rounds. Adapting R&D for short innovation cycles, better customer centricity and digital products and business models requires the integration of agile management, (partly) open innovation, capable metrics/KPIs and digital technologies like AI, simulation software or big data analytics.
Pleased to present a very practice-oriented program with keynotes from Silvio Weber (Miltenyi Biotec), Edwige Fiaclou (Swissquote), Matthias Glätzle (ADLER Coatings Group), Fabiano Assi (Federal Institute of Metrology), Sebastian Grimm (ZF Group), Jens Koehler (BASF), Till Kuehn (Bruker BioSpin), Dr. Quy Vo-Reinhard (DHealth), Marcus Chambers (Vectura Fertin Pharma), Jorit J. K. Schmelzle (Peregrine.ai), Andreas Schweiger, Massimo Buonaiuto (DSM)

 

Agenda: click here

Link to the website of the conference: https://redev40.com/

TOWARDS R&D 4.0 – FOUNDATION FOR DIGITAL BUSINESS MODELS

R&D with its active impact on value chains, portfolios and business models sets the foundation for corporate digitalization towards Industry 4.0. R&D 4.0 Strategy Day helps professionals to expand their knowledge about R&D transformation by highlighting successful corporate strategies, use cases and latest scientific insights in presentations and discussions. Additionally, we offer time and space for one-on-one and group networking, which attendees can schedule themselves by our networking app.

TOPICS

  • Integrated and Agile R&D Transformation in a High-Tech Environment
  • Digital tools and AI in R&D
  • Big Data / Data Analytics in R&D
  • KPIs 
  • Transformation in R&D Execution and Cultural Change
  • Cost and Value Management in R&D
  • Agile Transformation and Portfolio Management
  • Concepts for Connectivity and Usability
  • Structured Development Approach
  • Preparing Organisation, Competencies and Staff to the Digital Age
  • Patterns and Perspectives on Product Engineering Efficiency in the Age of Digitalization
  • Transition towards Customer Centricity 

Speaker at “World Smart Bioprocessing Summit – Pharma 4.0”, 27th – 29th September 2023 in Berlin, Germany

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I will speak at the next conference “WORLD SMART BIOPROCESSING SUMMIT – PHARMA 4.0“, 27th – 29th September 2023 | Berlin, Germany. 

Navigating the Digital Disruption: The Double-Edged Sword of ChatGPT in R&D and Manufacturing

In this compelling presentation, Massimo Buonaiuto, an international speaker and Principal Scientist with over 20 years of experience in data science and AI innovation, delves into the transformative potential of ChatGPT in revolutionizing R&D processes and manufacturing. Drawing from his extensive experience at leading organizations like DSM-Firmenich, United Nations, and Fairtrade Handels, Massimo offers a nuanced perspective on how ChatGPT can be both an asset and a challenge for employees and employers alike.

 Key Takeaways:

  • Operational Efficiency: Understand how ChatGPT can streamline R&D processes, from hypothesis generation to data analysis, thereby accelerating time-to-market and reducing operational costs.
  • Knowledge Extraction: Learn how ChatGPT can serve as a powerful tool for extracting valuable insights from vast datasets, thereby informing better decision-making in manufacturing.
  • Employee Upskilling: Explore the opportunities for employees to upskill and adapt to an AI-augmented work environment, enhancing their value within the organization.
  •  Ethical Considerations: Gain insights into the ethical implications of AI adoption, including data privacy and algorithmic bias, and how these can be mitigated.
  • Job Displacement: Discuss the potential threat of job displacement due to automation and how employers can navigate this sensitive issue responsibly.

Opportunities:

  • For Employees: ChatGPT offers a chance for upskilling and transitioning into roles that require higher cognitive skills, thereby securing job stability in an ever-evolving landscape.
  • For Employers: The tool provides a competitive edge by accelerating R&D processes, improving product quality, and enabling data-driven decision-making.

 Threats:

  • For Employees: The automation of certain tasks poses a risk of job displacement, requiring a proactive approach to reskilling.
  • For Employers: Ethical considerations such as data privacy and algorithmic bias could pose reputational risks if not properly managed.

Agenda: click here

Link to the website of the conference: https://www.cparityevent.com/world-smart-bioprocessing/

Today’s Bioprocessing is the base of several emerging industries and technologies, including the production of therapeutic stem cells, gene therapy vectors, and new vaccines. Advances in Bioprocessing is a particular interest to the industry as it considerably shortens the development timeline, improves the final product and increase the productivity of Bio-manufacturing facilities.

World Smart Bioprocessing: Pharma 4.0 Summit is a world platform across the Pharma & Biopharmaceutical Manufacturing community to present their technological advances, to boost innovation and exchange insights on current challenges. The event will gather top leaders in a 3-day event, aiming to promote a high level participation to provide the appropriate environment for dialogue with peers from pharma, biotech, schools, and pharma suppliers to maximize our efforts and profit in the industry. This Summit program comprises complex case studies, workshops, panels and breakouts. It will combine forward-thinking leaders from different industries to discuss a range of topics on Bioprocessing and Smart manufacturing. We will approach main challenges, innovations and new technologies.

 

Speaker at “Strategy Day Cybersecurity” – 28/09/2023 Zurich, Switzerland

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I will participate at the event for cybersecurity titled “Strategy Day Cybersecurity” in Zurich, 28 September 2023 | Zurich, Switzerland. 

Cybersecurity in the Age of Generative AI: Navigating the Threats and Safeguards

I’m excited to announce my upcoming speech on a topic that is both fascinating and critical: cybersecurity in the context of generative AI and tools like ChatGPT. With the rapid adoption of generative AI technologies, we are at the forefront of innovation—but also facing unprecedented challenges that require vigilance and proactive solutions.

Key Points I’ll Address:

1. How ChatGPT and Generative AI Can Create New Threats
Generative AI models are capable of generating realistic text, which opens up a new frontier for cybersecurity threats. For example, ChatGPT can be used to generate convincing phishing emails, simulate human-like responses in social engineering attacks, or even spread malicious code snippets. These potential misuses raise questions about how we monitor and restrict AI applications to prevent harm.

2. Protective Measures for IT Professionals
As cybersecurity professionals, it’s essential to stay ahead of these threats. I’ll discuss actionable steps for IT teams, such as implementing AI-based detection systems that can identify AI-generated content. Additionally, I’ll cover best practices for enhancing security protocols to safeguard against AI-enhanced threats, as well as continuous education to stay informed about emerging AI-driven risks.

3. The Role of ChatGPT in Fake News and Misinformation
Generative AI has the power to create believable, yet completely fabricated, news articles and social media content. This can have dangerous consequences, from misleading public opinion to destabilizing institutions. I’ll address how to detect and counteract misinformation generated by AI and discuss tools that can verify sources and cross-check information in real-time.

4. Ethics and Responsibility in AI Development
How do we balance innovation with responsibility? As developers and users of AI, we must advocate for ethical guidelines that minimize the misuse of these technologies. This includes implementing transparency in AI-generated content, establishing guidelines for responsible use, and encouraging developers to build safeguards into AI tools.

5. Collaborative Efforts to Build a Secure AI Ecosystem
Finally, I’ll highlight the importance of collaboration between organizations, governments, and AI developers to create a secure and trustworthy AI environment. Together, we can set standards, develop industry-wide protocols, and promote a culture of cybersecurity awareness.

This speech aims to shed light on the double-edged sword that is generative AI, and I hope to inspire actionable steps for protecting both our systems and our society. Looking forward to engaging in an insightful discussion on these critical issues.

Dorint Airport Hotel Zürich
Riethofstrasse 40
8152 Opfikon, Schweiz
phone +41 44 808 10 00

Link: https://cysecday.com/session/impact-of-generative-ai-and-chatgpt-for-corporartions/
 
 

Use case: Phishing and Social Engineering with Chatbots

A cybercriminal sets up a fake support chatbot for a popular online banking platform. This malicious chatbot mimics the legitimate customer support chat interface of the bank and is designed to guide unsuspecting users through a “security check” to “verify” their accounts. Here’s how it works:

  1. Initial Contact: The attacker sends an email or SMS to a targeted individual, pretending to be the bank. The message informs the recipient of “suspicious activity” on their account and urges them to click on a link to chat with customer support for immediate assistance.
  2. Engaging with the Fake Chatbot: When the victim clicks the link, they’re taken to a fake website that closely resembles the bank’s official site. The website hosts the malicious chatbot, which has been programmed with a natural language model like ChatGPT. The chatbot initiates the conversation, using realistic language to greet the user and gain their trust.
  3. Gathering Sensitive Information: As the victim engages, the chatbot uses advanced conversational techniques to sound credible and reassuring. It might ask the victim to “confirm their identity” by providing their account number, password, and security questions, under the guise of helping them secure their account. It could also prompt the user to enter one-time codes received on their mobile device, giving the attacker full access to the account.
  4. Exfiltration of Data: Once the chatbot collects the information, it relays it to the attacker, who can then use it to access the victim’s account, transfer funds, or even sell the data on the dark web.
  5. Covering Tracks: In some cases, the chatbot could even simulate a “successful security check” message at the end of the chat, reassuring the victim that their account is now safe. This can delay the victim from suspecting any fraudulent activity, giving the attacker more time to exploit the stolen credentials.

Speaker at “Swiss data leaders – Leaders dialog on Big Data & AI” in Zurich, 22nd March 2023

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I will speak at the next conference “Swiss data leaders – Leaders dialog on Big Data & AI” – in Zurich, 22nd March 2023.

Link to the website of the conference in pdf format: click here.

Link to the website of the conference: https://leadersdialog.com/?page_id=1524

Join me at the Leadership Exchange on Digitalization Strategies to discover how data science and knowledge management can help Companies unlocking the full potential of Big Data and AI. Learn about the importance of a solid data governance framework and how to navigate the complex Big Data and AI ecosystems to gain a competitive edge in R&D environment. Let’s explore together the diverse strategies and use cases that will enable Companies to develop future-proof strategies in a VUCA world (=volatility, uncertainty, complexity, and ambiguity world). Don’t miss this opportunity to stay ahead of the latest digitalization trends and new ways of management. See you there!

Leadership Exchange on Digitalization Strategies

Data is key in the connected 4.0 economy. Yet no company has been able to fully unlock the potential Big Data and AI bear for supporting strategies, business models, practices and products. Front-runners proved well-applied big data analytics and AI can be decisive for a competitive edge. We’ve been discussing many of these cases at our Dialogs in recent years. It goes without saying companies need a data strategy – based on a solid data governance framework – to be successful. The never-ending increase of connected touchpoints in digitalized societies makes it easy to collect huge amounts of data and data science helps to decide which data to collect and how to analyze it. But complex Big Data and AI ecosystems bear the risk of choosing wrong suppliers, partners and architecture. “One size fits all” does not exist. For more orientation, digitalization and data leaders discuss diverse strategies and use cases at this summit.
It is challenging for executives and their teams to develop future-proof strategies in a VUCA world. At Leaders Dialog we discuss latest digitalization trends, new business models and new ways of management. We look into the latest implications and applications of AI, Big Data, Servitization and Industry 4.0.

New Digital Business Models & Servitization

  • Big Data
  • Predictive Analytics
  • Data Science
  • Data Governance
  • Data Fabric
  • Artificial Intelligence (AI)
  • Industry 4.0 & IoT
  • Algorithmic Trust
  • Ecosystems and Partner Strategies
  • Digital Customer Journeys enabled by AI and Big Data
  • Total Experience (TX)
  • Distributed Enterprise
  • Composable Enterprise
  • Hyperautomation
  • Blockchain Applications
  • Crypto
  • Sustainability
  • Major Regulatory Trends

Feedback from participants​

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