Big Data & Data Science Speakers

Big Data & Data Science Speakers

We represent influential and inspiring Big Data & Data Science Speakers who are known worldwide. Browse through Speaker Agency speakers and get in touch!

 Adolfo Fernández Sánchez New
Adolfo Fernández Sánchez Global Product Strategy & Operations @ TikTok | Monetization Product & Technology
  • Italians queuing for American coffee
  • I want it, and I want it now
  • People are not afraid of change
Adrienne A. Harris New
Adrienne A. Harris Superintendent NYS Department of Financial Services | Former Special Assistant to President Obama for Economic Policy
Alex Smith New
Alex Smith Breakthrough strategy for consumer brands | Get unstuck, make bold moves, and escape the competition | Author No Bullsh*t Strategy
  • How to escape the competition
  • How to behave like an iconic brand
  • How to understand and practice strategy easily
Alicia Asín New
Alicia Asín CEO and co-founder of Libelium. Expert keynote speaker in Internet of Things, AI and Smart Cities
  • Reflections on the loT on its way to 2030: Risks and opportunities of the IoT towards a legacy of greater transparency and democracy
  • IoT to promote democracy and transparency
  • Main cities' challenges to be smart and sustainable
Allison Duettmann New
Allison Duettmann CEO, Foresight Institute
  • Meta Tools for Accelerating Scientific Innovation Introduction
  • Bio, Nano, Neuro, AI: Opportunities and Risks in Frontier TechIntroduction
  • Charting Optimism: Steering Sci-Fi Futures from Existential Angst to Hope
Aric Dromi New
Aric Dromi Futurologist | Strategy & Innovation Advisor | Speaker
  • Automation & fast tracking Technology, process and human behaviours, how will automation and fast tracking impact business and society?
  • The smarter data dilemma The evolution of data driven Intelligent logistics, mobility, energy, communication.
  • Privacy, Surveillance & legislation How will technology and human behaviour impact our privacy? Can legislation actually protect our privacy, or is it there to legalize surveillance?
Carme Artigas New
Carme Artigas Co-Chair AI Advisory Body United Nations
  • The Impact of Big Data on Business Transformation
  • Artificial Intelligence: Challenges and Opportunities
  • Female Leadership in the Technological Era
Caroline Criado Perez New
Caroline Criado Perez Founder & CEO Resi
  • Invisible Women - inside the gender data gap
  • What the gender data gap means for organisations
  • Campaigning for change
Cassie Kozyrkov New
Cassie Kozyrkov CEO at Data Scientific, Google's first Chief Decision Scientist, Decision Advisor, Keynote Speaker
  • AI and Innovation: Less Hype, More Reality
  • Artificial Intelligence: Software 2.0
  • Automating Beyond Human Expression
Catherine Knibbs New
Catherine Knibbs Human Behaviour Technologist
  • Why we do what we do online (needs and e-ttachment), healthy development in a world of technology
  • Cybersecurity and the human who ‘humans’ (why mistakes are really made), addiction is not the answer, tech is not the cure
  • Porn viewing in children and young people: why it’s not use or consumption
Dr Jessica Barker New
Dr Jessica Barker Cyber Security Expert| Best Selling Author of “Confident Cyber Security” | Keynote Speaker |Media Commentator
  • How a Hack Works
  • Demonstrating a Phishing Attack
  • Why Culture is Key to Cyber Security
Dr. Hannah Fry New
Dr. Hannah Fry Professor of Mathematics | Science Presenter | All Around Badass
  • AI
  • Technology
  • Big Data
Dr. Mark Van Rijmenam
Dr. Mark Van Rijmenam Future of Work, Big Data, Blockchain and AI Expert
  • Unleashing the Generative AI Genie: A Brave New Metaverse or a Nightmare Scenario?
  • The Collaboration Era – How to Thrive in an Exponential World
  • Leadership in A Synthetic World: How to Thrive in the age of AI
Dr. Michal Kosinski
Dr. Michal Kosinski Associate Professor in Organizational Behavior at Stanford University Graduate School of Business | Computational Psychologist
  • Big Data
  • Privacy
  • Future of Politics
Edward Newton Rex
Edward Newton Rex VP Audio, Stability AI | Former Product Director TikTok Europe
  • Artificial Intelligence
  • AI Music
  • AI and Creativity
Gianni Giacomelli New
Gianni Giacomelli Head of Design, MIT Collective Intelligence Lab. Founder,
Innovation Advisor, Genpact
  • AI Augmented Collective Intelligence
  • Tomorrow's solutions come from tomorrow's intelligence
  • Building Superminds
Helen YU New
Helen YU Founder & CEO of Tigon Advisory; Host of CXO Spice; Vice Chair, Global Cybersecurity Association; Board Director of KeenFolks
  • Cyber Resilience in 21st Century
  • The Future of Work
  • The Art of Digital Transformation
Joe Toscano New
Joe Toscano CEO, DataGrade // Author& Int'l Keynote Speaker, Automating Humanity // Featured Expert, The Social Dilemma
  • Privacy 2.0: A Post-Compliance Era of Profitable Privacy Practices
  • Empathetic Privacy: Situational Awareness Training for Data Professionals
Kitty Horlick New
Kitty Horlick NFT, Web3, Blockchain, Metaverse Thoughtleader | Analyst | Founding Partner at Blackwood
  • Metaverse
  • Marketing in the Metaverse
  • Metaverse ethics
Lex Sokolin New
Lex Sokolin Chief Economist at ConsenSys | Fintech & DeFi Builder
  • Frontier technology transforming Financial Services
  • Mixed Reality and IOT
  • Fintech Consumer Bundle

Spotlight on Big Data & Data Science Visionaries

Effective communication of complex ideas surrounding Big Data and Data Science is more crucial now than ever before. In a world awash with data, the ability to convey intricate concepts clearly and engagingly is the linchpin of success.

In the digital age, where data drives decision-making across industries, the importance of conveying data-driven insights accurately and comprehensibly cannot be overstated. Yet, communicating these insights effectively is fraught with challenges, from decoding technical jargon to navigating ethical considerations. This blog will unravel these complexities, offering practical insights and strategies for data scientists, analysts, and communicators alike.

Understanding one's audience is at the heart of successful data communication. Tailoring messages to executives, policymakers, or the public necessitates a nuanced approach. Beyond words, visual communication through data visualization emerges as a powerful tool for simplifying intricate data stories. The ethical implications of data communication, too, demand our attention, as responsible data use and transparency become ever more critical.

The Significance of Public Communication in Data Science

Public communication holds immense significance in the field of Data Science. It acts as a vital link between experts and the broader public. It serves as a bridge that connects intricate technical insights to real-world applications. When data scientists effectively communicate their findings, they empower decision-makers, policymakers, and the public to make informed choices in an increasingly data-driven world.

The clarity and precision of communication determine the impact of data science on society, shaping how data-driven insights are understood and accepted. In essence, the ability to articulate complex data concepts in an accessible manner is a cornerstone of progress in the ever-evolving landscape of Data Science.

Challenges in Communicating Big Data and Data Science

Communicating Big Data and Data Science concepts presents several formidable challenges. One of the foremost difficulties lies in translating highly technical language and complex mathematical models into plain, understandable terms. The excessive use of industry-specific jargon can alienate non-experts, making it imperative for data scientists to adopt a more accessible vocabulary.

Another challenge is the sheer volume of data. Big Data often encompasses massive datasets, and effectively conveying insights from such extensive information without overwhelming the audience can be tricky. Distilling the essence of the data while maintaining its integrity and relevance is an art in itself.

Furthermore, ensuring data accuracy and reliability in communication is paramount. Data quality issues can lead to misinformation and erode trust, making it crucial to address potential inaccuracies transparently.

Ethical considerations also loom large. Data scientists must navigate the ethical minefield of data privacy, consent, and responsible data use while communicating their findings.

Lastly, the pace of technological advancement adds complexity. As tools and techniques evolve rapidly, staying current and adapting communication strategies accordingly becomes an ongoing challenge.

Know Your Audience

Understanding your audience is pivotal in Data Science communication. Tailoring your message to resonate with the specific needs, interests, and knowledge levels of your audience enhances the effectiveness of your communication efforts. Executives may require concise, high-level insights to inform strategic decisions, while policymakers may seek data-backed recommendations for legislation.

For the public, simplifying technical jargon and using relatable examples is essential. Recognizing these nuances empowers data communicators to connect with their audience on a deeper level, fostering engagement and facilitating better comprehension. By adopting an audience-centered approach, data professionals can bridge the gap between complex data concepts and meaningful, actionable insights for diverse stakeholders.

Storytelling with Data

The art of storytelling with data is an indispensable skill in the world of Data Science. It goes beyond raw numbers and statistics, transforming data into a compelling narrative that engages and informs. Effective data storytelling combines the logic of data analysis with the emotional resonance of a well-told story. To achieve this, data professionals must identify the central message they want to convey, crafting a clear and concise narrative around it.

Visual elements play a crucial role in data storytelling. Graphs, charts, and infographics can simplify complex data, making it more accessible to a broader audience. However, the choice of visuals must align with the message and enhance understanding rather than confuse or mislead.

Context is another vital component. Providing context helps the audience relate to the data, understand its significance, and appreciate its real-world implications. Real-life anecdotes and examples that resonate with the audience can add depth and authenticity to the narrative.

Furthermore, data storytelling should follow a logical structure, guiding the audience through a well-defined beginning, middle, and end. The story should build towards a clear conclusion or actionable insight, leaving a lasting impact.

Visual Communication

Visual communication is a cornerstone of effective data presentation in the realm of Big Data and Data Science. It involves the strategic use of charts, graphs, and other graphical elements to convey complex information in an easily digestible format. These visual aids serve as a bridge between raw data and audience understanding.

When crafting visual representations of data, it's essential to choose the right visualization for the specific dataset and message. Clarity, simplicity, and accuracy should be at the forefront, ensuring that visuals enhance comprehension rather than obfuscate it. Well-designed visuals can elevate the impact of data-driven presentations, making data more accessible and compelling to a wide range of audiences, from executives to the public.

Ethical Considerations in Data Communication

Ethical considerations lie at the heart of data communication in the Big Data and Data Science arena. As data professionals convey insights and findings, they must navigate a complex landscape of responsibilities. Ensuring data privacy, obtaining informed consent, and maintaining transparency are non-negotiable.

Beyond legal compliance, ethical data communication extends to the fair representation of data, avoiding bias and discrimination. Striking the right balance between data-driven truth and ethical responsibility is essential. Data communicators must uphold the highest ethical standards to build trust, protect privacy, and contribute positively to the evolving data landscape, where ethics and data go hand in hand.

The Future of Data Science Communication

The future of Data Science communication promises exciting developments as technology continues to evolve. Artificial Intelligence (AI) and automation are poised to play increasingly significant roles in data communication. AI-powered tools will streamline data analysis and enhance visualization capabilities, making it easier to extract insights and convey them more effectively.

Furthermore, the integration of immersive technologies like virtual reality (VR) and augmented reality (AR) into data presentations offers new dimensions of engagement. As the data landscape evolves, data communicators must adapt, mastering these emerging tools and techniques to remain at the forefront of effective data communication in an ever-changing digital world.


The world of Big Data and Data Science is vast and complex, but the power of effective communication cannot be underestimated. As we've journeyed through this exploration of public communication in these fields, we've uncovered the vital role it plays in bridging the gap between experts and the public.

Effective data communication demands conquering challenges, understanding audiences, and embracing storytelling and visuals. Ethical considerations must guide our path, ensuring transparency and fairness in a data-driven world. And, as we've seen, the future promises exciting technological advancements.

In this ever-evolving landscape, we draw inspiration from esteemed speakers like Adrienne A. Harris, Catherine Knibbs, Daphne Costa Lopes, and Mariam Naseem, who have illuminated the way forward with their insights and expertise. They exemplify the power of clear, engaging communication in the realm of Big Data and Data Science.

As we move forward, let's remember that the ability to articulate complex data concepts is not a skill but a strategic advantage. Effective communication empowers decision-makers, informs the public, and drives progress in an increasingly data-centric world.

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