DSC Next Conference 2027: Bringing Global Data Science, Artificial Intelligence and Technology Leaders to Amsterdam

May 20–21, 2027 | Amsterdam, Netherlands | 3rd Edition

The future of technology is not being shaped by artificial intelligence alone. It is emerging through the convergence of data science, intelligent systems, cybersecurity, digital identity, financial technology, quantum computing and responsible innovation.

As organisations move from experimenting with emerging technologies to integrating them into critical business operations, the need for meaningful conversations between researchers, technology leaders, innovators and decision-makers has never been greater.

Bringing these perspectives together is the objective of the 3rd Edition of DSC Next Conference 2027, taking place on May 20–21, 2027, in Amsterdam, Netherlands.

Organised by Next Business Media, DSC Next is an international conference dedicated to data science, artificial intelligence and the technologies transforming industries. The event brings together professionals from academia, technology companies, research institutions, startups and established businesses to exchange knowledge, discuss practical challenges and explore what comes next.

The 2027 edition will bring together an international group of technology professionals and industry experts, including senior leaders and specialists from Salesforce, Uber, Rubrik, EPAM Systems, Hitachi Construction Machinery Americas, Almond FinTech and other organisations.

With discussions spanning enterprise AI, AI governance, digital identity, financial intelligence, data engineering, cybersecurity and emerging technologies, DSC Next 2027 aims to create a platform where technological innovation meets real-world industry experience.

The Journey of DSC Next: Building an International Data Science Community

The DSC Next Conference series was established with a vision of creating a space where data science research, technological innovation and practical industry experience could come together.

The first edition in 2025 marked the beginning of this initiative in Amsterdam, establishing the foundation for an international community of professionals interested in the future of data science and artificial intelligence.

Building on that beginning, the second edition took place on May 7–8, 2026, at Park Plaza Amsterdam, under the theme:

Beyond Boundaries: The Future of Data Science & AI.

The 2026 conference brought together international speakers, researchers, business professionals and technology leaders for two days of presentations, discussions, networking and recognition of industry achievements.

The previous edition recorded:

• 28+ International Speakers sharing professional knowledge and industry perspectives.

• 15+ Countries Represented, reflecting the international reach of the conference.

• 20+ Sessions covering different aspects of data science, AI and emerging technologies.

• 5 Awards recognising contributions and achievements in the technology ecosystem.

• 2 Days of Knowledge Exchange through keynote presentations, expert talks and panel discussions.

The discussions explored how artificial intelligence and data-driven technologies are influencing enterprise operations, business strategy, research, automation and decision-making.

The conference also highlighted the importance of connecting academic research with commercial applications. Rather than approaching data science and AI as purely technical subjects, the programme encouraged discussions around their wider implications for organisations, professionals and society.

The second edition provided an important foundation for the next chapter of DSC Next, with an expanding international network and an increasingly broad range of technology subjects.

DSC Next 2027: Beyond Traditional Data Science and Artificial Intelligence

The technology landscape is evolving faster than individual industries can adapt. Generative AI, autonomous agents, intelligent infrastructure, quantum computing and advanced data systems are changing how organisations operate and compete.

DSC Next 2027 aims to reflect this changing landscape by extending discussions beyond conventional data science and machine learning.

The conference will feature keynote presentations, expert sessions and panel discussions covering some of the most important developments across the technology ecosystem.

Key Topics and Areas of Discussion

1. Generative AI and the Next Generation of Intelligent Systems

Generative AI is transforming software development, enterprise operations and the way people interact with technology. Discussions will explore large language models, AI agents, autonomous workflows and the challenges of implementing intelligent systems at scale.

2. Enterprise AI, Infrastructure and Cloud Computing

As AI becomes part of everyday business operations, organisations need scalable, secure and reliable infrastructure. This area will explore AI-ready cloud platforms, enterprise architecture, infrastructure engineering, automation and the operational requirements of large-scale AI adoption.

3. AI Governance, Ethics and Responsible Innovation

The growing adoption of artificial intelligence has brought questions of accountability, transparency, data privacy and regulatory compliance to the forefront. Discussions will examine how organisations can translate AI governance principles and regulatory standards into practical systems.

4. Cybersecurity and Digital Trust in the Age of AI

AI is creating new opportunities for cybersecurity while also introducing increasingly sophisticated threats. The conference will explore cyber resilience, identity protection, autonomous AI workflows, digital security and the challenges of protecting enterprise environments.

5. FinTech, Digital Identity and the Future of Financial Systems

Financial services are being transformed by blockchain infrastructure, stablecoins, digital identity, automated compliance and intelligent financial systems. Discussions will examine how emerging technologies can improve cross-border payments, regulatory processes and financial infrastructure.

6. AI in Healthcare and Life Sciences

Artificial intelligence is changing healthcare research, clinical operations, patient engagement and pharmaceutical innovation. This area will explore the practical applications and challenges of adopting AI in highly regulated environments.

7. Quantum Computing and the Future of Computational Science

Quantum computing represents an important frontier in the evolution of computational technology. Discussions will consider its potential applications in complex optimisation, scientific research, advanced analytics and next-generation computing.

8. Data Science, Advanced Analytics and the Future of Data Professionals

As AI automation becomes more advanced, the role of data scientists and analytics professionals continues to evolve. Discussions will examine the relationship between data engineering, machine learning, business intelligence and the changing responsibilities of data professionals.

9. AI, Industrial Intelligence and Smart Infrastructure

The integration of AI with industrial systems, connected devices and real-time data is creating new possibilities for manufacturing, infrastructure and operational management. The focus will be on intelligent automation, reinforcement learning, industrial IoT and scalable data architectures.

These discussions are intended to bring different perspectives into the same room, encouraging participants to look at technology not only through its individual applications but also through its wider impact.

Meet the Industry Experts and Featured Speakers at DSC Next 2027

An important part of DSC Next is the experience and perspectives of the professionals contributing to its programme.

The 2027 edition features an international group of speakers with backgrounds spanning enterprise technology, artificial intelligence, cloud infrastructure, financial technology, digital identity, data governance, industrial systems and analytics.

The following speakers bring experience from both established global organisations and innovative technology companies.

Nitin T. Bhat

Infrastructure Engineering, AI, Cloud & Platform at Salesforce

Nitin T. Bhat is an enterprise technology and product leader with extensive experience in scaling SaaS and AI platforms, managing large-scale business operations and driving product innovation.

He previously served as Acting CEO of Heroku and Chief Product Officer at Workiva. His professional experience also includes leadership roles across Salesforce, Smartsheet, AWS and Microsoft.

His expertise covers AI, cloud computing, data science, enterprise software, product strategy and go-to-market execution. Throughout his career, he has contributed to enterprise growth, product transformation and complex business integrations.

Alongside his industry responsibilities, Nitin serves as an adjunct professor at the University of Washington, teaching courses in data science and artificial intelligence. He also serves on the Supervisory Board of Verity Credit Union.

At DSC Next 2027, Nitin brings a valuable combination of technical knowledge and executive leadership, offering perspectives on how organisations can translate emerging technologies into practical enterprise value.

Raido Saar

Founder and CEO of ComplyOnce

Raido Saar is an entrepreneur and technology leader specialising in digital identity, compliance and regulatory innovation.

His professional journey began in border security and intelligence at the Estonian Border Guard, where he spent eight years working on national policies and international crime prevention.

He subsequently worked in AML and compliance leadership at cryptocurrency exchange Swapin.com before moving towards building technology solutions addressing digital trust and regulatory challenges.

Raido is the founder and CEO of ComplyOnce and Matter-ID, initiatives focused on digital identity, signatures, privacy-centric compliance and secure digital interactions.

He also serves as President of the Estonian Web3 Chamber and Vice President of the European Web3 Organization, working with regulators and industry stakeholders on regulatory developments, including MiCA.

His work explores the relationship between digital identity, AI-powered security threats, compliance automation and the future of trusted digital ecosystems.

At DSC Next 2027, his experience will contribute to discussions around digital identity, regulatory innovation, privacy-centric systems and the challenges of establishing trust in increasingly automated environments.

Adam Swartzbaugh

CEO of Almond FinTech

Adam Swartzbaugh is the CEO of Almond FinTech, a financial technology company developing execution intelligence for cross-border foreign exchange payments.

Almond's technology evaluates different stablecoins, blockchain networks, payment venues and execution timings to identify more effective routes for international payments.

Originally developed at MIT, the technology models outcomes across thousands of possible payment routes using a proprietary dataset of real-world executions.

The company is also a winner of the Santander Blockchain Challenge.

Adam holds advanced degrees in business, public policy and economics from MIT, Harvard and Brown, bringing together an interdisciplinary perspective on financial systems, technology and economic policy.

His work sits at the intersection of financial technology, blockchain infrastructure, data intelligence and international payments.

At DSC Next 2027, Adam's experience provides an industry perspective on how data-driven intelligence and emerging financial technologies can reshape global payment infrastructure.

Cal Al-Dhubaib

Emerging Technology Thought Leader at Rubrik | IAPP Certified AI Governance Professional

Cal Al-Dhubaib is a globally recognised data scientist, entrepreneur and AI governance professional known for his work in Trust Engineering for AI.

At Rubrik, he leads emerging technology thought leadership, focusing on artificial intelligence, cyber resilience and enterprise trust as organisations increasingly adopt autonomous systems.

Before joining Rubrik, Cal founded Pandata, an AI design and development company serving highly regulated industries, including healthcare, energy and financial services.

Over more than a decade, he grew the company to serve clients such as Cleveland Clinic, Progressive Insurance and FirstEnergy. Following its acquisition by Further in 2024, he served as Head of AI and Data Science.

His expertise includes AI strategy, implementation, quality control, human-machine interaction, governance and monitoring practices.

Cal has spoken at major industry events, including MAICON, ODSC, AI Summit and TDWI. His work and insights have also been featured in Forbes, Nasdaq, VentureBeat and CDO Magazine.

At DSC Next 2027, he brings an important perspective on building trustworthy AI systems, managing enterprise AI risks and ensuring that AI innovation remains aligned with business objectives.

Raquel Mass

Partner and Director of Abogados.com.ar | Executive Director of ALTA

Raquel Mass is a corporate attorney specialising in AI governance, data privacy and legal innovation.

She serves as Executive Director of the Argentine Legaltech Association (ALTA) and is Partner and Director of Abogados.com.ar, one of Argentina's leading legal media and innovation platforms.

Her professional work involves advising organisations, legal technology companies and public institutions on responsible AI adoption, governance frameworks and emerging technologies.

Raquel is also a frequent speaker, lecturer and author on artificial intelligence, digital transformation and the future of the legal profession.

Her work focuses on connecting the legal and technology ecosystems, particularly across Latin America, and translating complex technological and regulatory developments into practical frameworks for organisations.

At DSC Next 2027, her experience adds an important legal and regulatory perspective to conversations around artificial intelligence, data privacy and responsible technological innovation.

Ina Schöne

Founder of Data Privacy and AI | ISO/IEC 42001 Lead Auditor | AI Governance and Ethics Expert

Ina Schöne is a specialist in artificial intelligence governance, ethics, regulation, data protection and digital product management.

Her work focuses on helping organisations translate rapidly evolving AI regulations and standards into practical, trustworthy and auditable systems.

As an ISO/IEC 42001:2023 Lead Auditor for AI Management Systems and an independent AI Systems Auditor, she brings a strong understanding of AI assurance, compliance, risk management and responsible AI implementation.

Ina is also a lecturer in Digital Product Management at Hochschule Nordhausen University of Applied Sciences and a certified AI Manager and AI Compliance Representative trainer with the DIHK.

She is pursuing an LL.M. in Information Law, focusing on new technology law and the EU AI Act.

Her international engagement includes participation in the OECD G7 Hiroshima AI Process Task Force and Friends Group, as well as contributions to the G7 HAIP Reporting Framework. She is also a member of the AI Governance Advisory Board.

At DSC Next 2027, Ina will bring practical insights into AI governance, auditing, regulatory readiness and the implementation of responsible AI systems.

Rashi Dhenia

Project Analyst at Hitachi Construction Machinery Americas Inc. | Lead AI Systems Architect

Rashi Dhenia is an AI systems architect and researcher specialising in enterprise-scale reinforcement learning and real-time streaming architectures.

Her professional work focuses on designing AI systems capable of supporting complex industrial environments and large-scale operational requirements.

Her research portfolio includes more than 30 peer-reviewed IEEE publications and over 120 independent citations. She also holds a granted UK design patent for user interface design and has a pending US utility patent for streaming architecture.

Her work bridges advanced algorithmic research, industrial IoT telemetry and human-centred visual design.

At DSC Next 2027, Rashi brings an engineering and research perspective to the discussion around enterprise AI architecture, reinforcement learning and the integration of intelligent systems into industrial operations.

Elena Menshikova

Lead BI Analyst at EPAM Systems

Elena Menshikova is an international data and analytics professional with a Master's degree in Data Science and experience across digital banking, financial services, healthcare and IT consulting.

Her previous roles include Data Consulting Manager at KPMG Uzbekistan and Lead Data Analyst at TBC UZ.

Elena specialises in transforming complex enterprise data into actionable insights that support strategic decision-making and operational performance.

Her expertise includes advanced data analysis, data visualisation, machine learning and AI solutions, with a particular focus on connecting technical capabilities to practical business requirements.

Throughout her career, she has led cross-functional teams working on scalable analytics systems, semantic data frameworks, experimentation and validation strategies.

At DSC Next 2027, Elena will contribute a cross-industry perspective on how organisations can move beyond raw data and use advanced analytics and AI to create meaningful business outcomes.

Dr. Walid El Abed

Founder and CEO | Global Data Excellence

Dr. Walid El Abed is an international technology leader, lecturer and visiting professor with more than 20 years of experience working with global organisations.

His professional journey began in the 1990s with an interest in automating communication between humans and machines. Combining linguistics and computer science, he developed Data Excellence Science in 1995, an approach integrating computer science, linguistics, business management and artificial intelligence to process natural language and transform semantic information into computer-readable structures.

This work became the foundation for DEMS, the Data Excellence Management System, an AI and data governance platform developed through Global Data Excellence.

His work has been recognised in academic and professional environments, with Data Excellence Science taught at universities and institutions in France and Switzerland, including the University of Franche-Comté, the University of Fribourg and the Conservatoire National des Arts et Métiers de Paris.

Dr. El Abed is also the author of scientific and economic publications, including internationally circulated white papers.

At DSC Next 2027, his perspective will contribute to discussions on data excellence, semantic AI, linguistic intelligence, data governance and the future of intelligent information systems.

Almaz Rakhimbekov

Staff Infrastructure Engineer at Uber

Almaz Rakhimbekov is a Staff Infrastructure Engineer at Uber with more than a decade of experience designing, scaling and securing complex cloud and network platforms.

His professional expertise includes infrastructure automation, security engineering, resilient system architecture and the development of large-scale technology platforms.

His work focuses on connecting traditional security controls with modern cloud-native environments and AI-driven infrastructure.

As organisations increasingly depend on autonomous systems and interconnected enterprise platforms, infrastructure security and resilience are becoming critical considerations.

At DSC Next 2027, Almaz brings a practical engineering perspective to securing autonomous AI workflows, protecting enterprise environments and building resilient infrastructure capable of supporting technology at global scale.

Why Attend DSC Next Conference 2027?

DSC Next is designed for professionals who want to understand not only where technology is heading, but also how emerging developments can be applied across different industries.

The conference provides an opportunity to learn from professionals working directly with data science, AI systems, enterprise infrastructure, financial technology, digital identity and technology governance.

For Technology and Business Leaders

Gain perspectives on enterprise AI adoption, infrastructure transformation, data strategy, cybersecurity and the business implications of emerging technologies.

For Data Scientists and AI Professionals

Explore developments in machine learning, reinforcement learning, generative AI, advanced analytics and intelligent systems while exchanging ideas with experienced practitioners.

For Researchers and Academics

Engage with an international audience, share research perspectives and connect academic developments with practical industry applications.

For Entrepreneurs and Startups

Discover emerging opportunities, understand industry challenges and connect with professionals working across the technology and innovation ecosystem.

For Investors and Decision-Makers

Gain insights into developing technology markets, enterprise adoption trends and the business opportunities emerging from AI and data-driven innovation.

More Than Presentations: Networking, Collaboration and Industry Recognition

DSC Next is intended to be more than a programme of keynote presentations and panel discussions.

An important part of the conference is the opportunity to connect professionals from different countries, industries and areas of expertise.

Networking activities provide an environment for exchanging ideas, exploring partnerships and building professional relationships.

The DSC Next Awards also form part of the wider conference initiative, recognising individuals, research teams, startups and organisations contributing to developments in data science, artificial intelligence and technological innovation.

Through its combination of industry participation, academic perspectives and professional recognition, DSC Next aims to support a community that values knowledge sharing, responsible innovation and practical technological progress.

Why Amsterdam?

Amsterdam provides an international setting for conversations around technology, research, entrepreneurship and digital transformation.

With its connections to the wider European business and innovation ecosystem, the city offers an accessible destination for international professionals, researchers, technology companies and academic institutions.

Hosting the third edition in Amsterdam continues the conference's connection with the city and creates another opportunity for the global data science and AI community to meet in Europe.

For professionals exploring international AI conferences, data science events and technology conferences in Europe, DSC Next 2027 offers an opportunity to participate in discussions across multiple technology disciplines.

Be Part of DSC Next 2027

The future of data science and artificial intelligence will be shaped by collaboration between the people researching new technologies, the professionals developing them and the organisations putting them into practice.

DSC Next 2027 aims to bring these perspectives together.

Whether you are working in artificial intelligence, data engineering, machine learning, cybersecurity, financial technology, digital identity, academic research or enterprise innovation, the conference offers an opportunity to exchange knowledge and engage with an international professional community.

Join us in Amsterdam on May 20–21, 2027, for two days of technology discussions, expert perspectives, networking and exploration of the developments shaping the next generation of intelligent systems.

Event Information

• Event: DSC Next Conference 2027

• Edition: 3rd Edition

• Dates: May 20–21, 2027

• Location: Amsterdam, Netherlands

• Organiser: Next Business Media

• Official Website: https://dscnextconference.com/

• Registration: https://portal.nextbusinessmedia.com/events/data-science-next-conference-amsterdam-2027

DSC Next 2027 | Where Data Science Meets the Future.