Presentations

The philosophy of the AI Revolution is learning from data using AI-based analysis of massive datasets. It will transform our world, one data-rich domain at a time. Since its emergence in the late 2010’s, it has enabled astounding, previously impossible solutions to hundreds of critical, long-term problems, such as predicting the structure and function of proteins, drug discovery and design, and cancer detection, fundamentally transforming those disciplines. AI-based data science – the underlying technology – will enable knowledge discovery that vastly exceeds that of science in scope, scale, complexity, realism, power, and speed. Unlike science that enables certain, definitive, provable solutions at human scale, AI-based data science provides insights that are uncertain, unprovable, and often beyond human understanding, yet lead to genuine solutions. 

In this talk, I provide a view of the philosophy, power, and limits of the AI Revolution that is transforming the world. The philosophy, benefits, and challenges of the AI Revolution are hard to impossible to understand. First, it is in its infancy and will evolve rapidly for a century or more. Second, its paradigm shifts are simple to state, e.g., from manual to automated reasoning, yet profound to understand, e.g., in 1769 the steam engine inventors could never have imagined the 19th and 20th C urbanization. Third, AI-based data science is inscrutable. No one knows how it works.


 

AI-based data science does not predict the future, e.g., of economics, it provides uncertain, unprovable insights into patterns of phenomena with which humans predict the future. Despite its inherent uncertainty, AI-based data science has been successfully applied to solve problems with solutions that were previously impossible. AI-based data science – massive data and analytics – is transforming every discipline that has adequate data, such as science (technology), economics, and education.

 AI-based data science is being applied in every human endeavor that has adequate data. Successful applications require a deep understanding of

  • Domain knowledge of the essential phenomena and properties of the phenomena to be investigated – what problem is being addressed?
  • The nature of AI-based data science – its philosophy, problem-solving paradigm and workflow – How to frame and solve the intended problem or to discover the intended knowledge.
  • Data – data that is adequate in content (properties represented), population (that the intended population of the phenomena), and quality, and
  • Analysis (analytical method) the nature of the intended analyses and methods to implement the analysis.

The lecture applies the ideas and framework introduced in the April 9 lecture focusing on the role of data and analytics with examples drawn from economics.

  • The AI Revolution is changing the world: The philosophy, power, and limitations of AI-based data science. April 9, 2024, at Futurist of the Year 2024 Congress; and April 12, 2024, at SGMK Copernicus University Warsaw, Poland

    The emerging AI Revolution will enable vastly more knowledge discovery than science – our previously most powerful knowledge discovery paradigm – and will surpass the Industrial Revolution in changing our world. While the Industrial Revolution sparked immense economic growth and social change by transforming manual labor to mechanized production at scale, the AI Revolution will do so by automating knowledge discovery and innovation that can create or destroy, at scale beyond human understanding. The potential of the AI Revolution requires deeper thinking about philosophical and practical impacts of technology.

    AI, more precisely AI-based data science, poses its own greatest challenge – it is inscrutable. We do not understand how it works. Since ChatGPT’s November 2022 release, AI-based data science has captured the world’s attention with daily reports of previously unimagined breakthroughs and with both plausible and hyperbolic speculation. Every major government and religion has issued AI guidelines leading to regulation and governance. Companies are racing to understand and deploy AI, possibly contradicting their claims of caution.

    This lecture describes the philosophy, power, and limitations of the coming AI Revolution that will change the world. While it is and may always be inscrutable, we will use a framework to better understand what we know and do not know.

  • A data science reference framework, Athena Research Center, Athens, Greece, March 18, 2022, Athena announcement. Video – 1 hour talk + 1 hour discussion
    Human reasoning based on philosophy, mathematics, and science produced three discovery paradigms: empiricism, scientific method & theory, and computation / simulation , each facilitating the greatest achievements of their age and much of human knowledge. Data science is emerging as the fourth discovery paradigm based on inscrutable reasoning yet successfully addressing problems beyond human conception in scope, scale, and complexity. As its unfathomed discovery power emerges, so to do its risks. We must understand data science to benefit from its power while managing its risks. As data science is evolving from 25+ disciplines and thousands of applications there is no coherent, unified definition and vocabulary required for research, development, practice, and teaching in this inherently multidisciplinary field.The Data Science Research Framework provides means for defining data science as a discovery paradigm and data science disciplines by applying the paradigm to specific phenomena, e.g., drug discovery, image recognition, economic policy. Originally proposed as a common basis for collaboration across, and structure for, 400 data scientists in 20 disciplines in Europe’s earliest and largest Data Science Research Institute (DSRI), it is being developed for the entire data science community and especially the DSRIs now found in most universities. It is intended as an online journal developed by and for the entire data science community.This interactive talk on data science as a discipline presents motivations, purpose, and content for means to address issues that arise in DSRI’s such as Archimedes.
  • Data Science, the Future of Computing, and the need for a Science of Data Science, Keynote, International Conference on Service Oriented Computing (ICSOC 2020), Dubai, December 14-17, 2020.
    Data Science, one of the most significant innovations of the 21st C, may transform our world. It marks the emergence of a new reasoning paradigm for any problem for which there is adequate data, multidisciplinary problem solving, and a new generation of computing, hence the need for a Science of Data Science. Explore with me its significance and impact by considering its growth, its spectacular successes and failures, and open research and application challenges, in six provocative hypotheses. Unlike many data science studies, we consider data and analytics as two sides of every data science problem and solution. We will conclude with its most critical and least achieved requirement: data science acumen, how to reason in this new paradigm, and speculate that it may mark the rise a much larger movement involving technology, science, business, economics, and society.
  • The Emergence of Data Science 2013 to 2018 – The Science of Data Science, B2W Digital, Rio de Janiero, Brasil, August 27, 2018
    Data Science, a new discovery paradigm, is potentially one of the most significant advances of the early 21st century. Originating in scientific discovery, it is being applied to every human endeavor for which there is adequate data. While remarkable successes have been achieved, even greater claims have been made. Benefits, challenge, and risks abound. The science underlying data science has yet to emerge. Maturity is more than a decade away. This claim is based firstly on observing the centuries-long developments of its predecessor paradigms – empirical, theoretical, and Jim Gray’s Fourth Paradigm of Scientific Discovery (Hey, Tansley & Tolle, 2009) (aka eScience, data-intensive, computational, procedural); and secondly on my studies of over 150 data science use cases, several data science-based startups, and, on my scientific advisory role for Insight, a Data Science Research Institute (DSRI) that requires that I understand the opportunities, state of the art, and research challenges for the emerging discipline of data science. This chapter addresses essential questions for a DSRI: What is data science? and What is world-class data science research? A companion chapter On Developing Data Science (Brodie, 2018b) addresses the development of data science applications and of the data science discipline itself.
  • Co-Evolution: B2W-MIT Research Collaboration, B2W Digital, Rio de Janiero, Brasil, February 27, 2018
  • Data Science: State of the Art, B2W Digital, Rio de Janiero, Brasil, February 27, 2018
  • The Case for the Co-evolution of Applications and Data, North East Database Day 2018 (NEDS 2018), January 19, 2018.
  • On Data, The World’s Most Valuable Resource, and Data Science, Keynote, On the Move Federated Conferences, Rhodes, Greece, October 23-27, 2017.
  • Placing the Onassis Lectures in a Data Science Framework, 2017 Onassis Lectures in Computer Science on Big Data and Applications, Heraklion, Crete, Greece, July 10, 2017, Slides
  • Big Data and Data Science: State of the Art and Research Directions, 2017 Onassis Lectures in Computer Science on Big Data and Applications, Heraklion, Crete, Greece, July 10, 2017, Outline, Slides
  • Data, The World’s Most Valuable Resource, 2017 Onassis Lectures in Computer Science on Big Data and Applications, Heraklion, Crete, Greece, July 10, 2017 Outline, Slides
  • The Emerging Discipline of Data Science: Principles and Techniques for Data-Intensive Analysis, Qatar Computing Research Institute (QCRI), Doha, Qatar, October 21, 2015 Abstract; Beijing University of Post & Telecommunications, Beijing, China, October 28, 2015; Harvard University, December 4, 2015.
  • Understanding Data Science: An Emerging Discipline for Data-Intensive Discovery, keynote, Data Analytics and Management in Data Intensive Domains (DAMDID’2015), Obninsk, Russia, October 13-16, 2015 Abstract; Moscow State University, the National Research University MEPhI, Moscow, Russia, October 19, 2015. Video
  • A Big Idea: The God Architecture, 16th International Workshop on High Performance Transaction Systems (HPTS 2015), September 2015, Slides
  • A 21st Century Applied Computer Science PhD, Keynote, PhD Workshop, VLDB 2015, Kona, Hawaii, August 31, 2015; PhD Workshop, Data Analytics and Management in Data Intensive Domains Conference (DAMDID’2015), Obninsk, Russia, October 13-16, 2015
  • 40 Years of VLDB: Our Heritage and Our Future, Panel presentation, VLDB 2015, Kona, Hawaii, August 31, 2015, Slides, Video
  • The Emerging Discipline of Data Science: Principles and Techniques for Data-Intensive Analysis, Keynote, 2nd Swiss Workshop on Data Science – SDS|2015, Winterthur, Switzerland, 12 June 2015 Abstract, Slides, Video
  • Big Data Analytics: The Fourth Paradigm – What Could Possibly Go Wrong? Texas State University, San Marcos, Texas, June 1, 2015
  • Data-Intensive Analysis Workflows, Workloads, and Architectures: Big Data Management and Data Science Requirements, CSAIL, MIT March 12, 2015; SEAS, Harvard, April 7, 2015
  • Laws and Limits of Data Science: The Next Decade, Keynote, Analytics Week Conference 2014, Boston, MA November 7, 2014
  • Accelerating Scientific Discovery: Efficacy, Efficiency, and Reuse of Big eScience Data, Univ. of New South Wales, Canberra; Univ. of Technology, Sydney; RMIT, Melbourne, September 2014.
  • Data Curation @ Scale: Tools and Techniques for the Emerging Discipline of Data Science, RMIT, Melbourne, September 16, 2014
  • What and Why: Computing Reality, Accelerating Scientific Discovery, and Avoiding a Big Data Winter, Qatar Computing Research Institute, April 21, 2014
  • Remarks on Receiving a D.Sc. (honoris causa) from the National University of Ireland, December 1, 2011
  • Fellows Introduction, 2011 STI Semantic Summit, Riga Latvia, July 6-8, 2011
  • Managing Data at Scale, 2011 STI Semantic Summit, Riga Latvia, July 6-8, 2011
  • Data Integration at Scale, 2011 STI Semantic Summit, Riga Latvia, July 6-8, 2011
  • Summit Conclusion, 2011 STI Semantic Summit, Riga Latvia, July 6-8, 2011
  • Future Internet: Over-connected and underperforming? Roadmapping the next decade of the Internet, panel, European Semantic Technology Conference, December 2-3, 2010, Vienna, Austria
  • The Power and Limits of Relational Technology In the Age of Information Ecosystems, Seminar, Digital Enterprise Research Institute, NUI, Galway Ireland, April 5, 2011, Keynote, Multimedia Distributed and Pervasive Systems doctoral colleges of the Université Franco-Allemande and the Université Franco-Italienne, ISNA de Lyon, France, December 13, 2010; Seminar, CSAIL, MIT, Cambridge, MA December 9, 2010; Seminar, Carnegie-Mellon University, November 16, 2010; Keynote, On The Move Federated Conferences, October 25-29, 2010, Heraklion, Greece; Seminar, Vrije Universiteit Brussel, Brussels, Belgium, October 20, 2010
  • Data Integration @ Scale: Framing Semantic Data Management, SemData@ESWC Workshop, collocated with ESWC 2010 on May 30, Heraklion, Greece; STI International Symposium, Kalamaki, Crete, May 25-28, 2010
  • Data Integration at Scale: From Relational Data Integration to Information Ecosystems, 24th IEEE International Conference on Advanced Information Networking and Applications (AINA-10), Perth, Australia, April 20-23, 2010
  • Wither STI: Strategic Directions for Semantic Technologies, Invited talk, General Assembly, Semantic Technology Institutes International, Vienna, Austria, December 4, 2009
  • Taking Semantic Technologies to a Broader Market, Opening Keynote with Mark Greaves, Vulcan Inc, 2009 European Semantic Technologies Conference, Vienna, Austria December 2-3, 2009
  • Integration Lessons From Large-scale Information Ecosystems, presentation, Overcoming the Technical and Policy Constraints that Limit Large-Scale Data Integration, National Academy of Engineering Workshop on Data Integration, Washington, DC, August 19-20, 2009
  • Sowing Seeds of Conceptual Modelling: Serendipitous Reminiscences of John Mylopoulos, A Research Celebration for Professor John Mylopoulos, University or Toronto, Toronto, Canada, June 27, 2009
  • Understanding Our Digital Universe: Unleashing Natural Forces, Colloquium, Institute for Software Technology and Interactive Systems at the Vienna University of Technology, Austria, December 3, 2009; Colloquium, School of Electronics and Computer Science, University of Southampton, UK, September 30, 2009; Keynote, IEEE International Conference on Digital Ecosystems and Technologies, Istanbul, Turkey, June 1-3, 2009; Invited lecture, Web Science Summer Graduate School, July 20-28, 2009, Rensselaer Polytechnic Institute, Troy, NY USA Wendy Hall, James Hendler, and Deborah McGuinness (Directors)
  • Protecting Individual Privacy in the Struggle Against Terrorists: Addressing Multi-Disciplinary Challenges in Our Increasingly Digital World, University Seminar, Digital Ecosystems Business Intelligence Institute (DEBII), Curtin University of Technology, Perth, Australia, January 16, 2009
  • Understanding Our Digital Universe, Keynote, Workshop on the Next Generation Internet, Digital Ecosystems Business Intelligence Institute (DEBII), Curtin University of Technology, Perth, Australia, January 14, 2009.
  • The Nature of Our Digital Universe, Invited talk, Future Internet Symposium, Vienna, Austria, September 28-30, 2008
  • The End of the Computing Era: Hephaestus meets The Olympians, Seminar, Digital Ecosystems Business Intelligence Institute (DEBII), Curtin University of Technology, Perth, Australia, January 12, 2009; Keynote talk – TOOLS EUROPE 46[th] International Conference on Objects, Models, Components, Patterns, June 30 – July 4, ETH Zurich, Switzerland; Keynote talk – STI Int’l Offsite, Costa Adeje Tenerife, Spain, May 30, 2008; Joint DERI/Dept of Information Technology Seminar, National University of Ireland, Galway, Ireland, May 16, 2008; Keynote talk – IEEE/IES Digital Ecosystem and Business Intelligence Conference, Phitsanulok, Thailand from 26-29 February 2008
  • Computer Science 2.0: A New World of Data Management, Keynote – W3C Workshop on RDF Access to Relational Databases, W3C Headquarters (MIT), Cambridge, MA, October 26-27, 2007; Industrial Keynote, 33[rd] International Conference on Very Large Data Bases, September 23-28 2007, University of Vienna, Austria
  • Semantic Technologies: Realizing the SOA Vision, Keynote Address, Research for Success: Semantic Systems and Services, Vienna, Austria, May 30, 2007; Invited talk First European Conf. on Semantic Technologies 2007, Vienna, Austria, June 1, 2007
  • Managing Data Management at Verizon, Oracle Headquarters, November 28, 2006
  • Research in An Innovation Network, DERI International Meeting, Beijing China, September 1, 2006
  • SOA State-of-the-Art and the Role of Semantic Technologies, IBM China Research Laboratory, Beijing, China, September 4, 2006
  • Delivering Business Value from SOA at Verizon, keynote (invited talk), InfoWorld’s SOA Executive Forum, New York City, NY, May 17, 2006
  • The SOA Yellow Brick Road: Drawing the Curtin on the SOA Wizard, Industrial keynote – 15[th] International World Wide Web Conference (WWW 2006), Edinburgh, Scotland, May 24, 2006; Verizon East ISOP 2006 Program, Boston, MA July 11, 2006
  • Integration in an Service-Oriented World: The Big Picture, Interoperability for Enterprise Software and Applications Conference (I-ESA’06), Bordeaux France, March 22, 2006
  • State of the Art of Service-Oriented Architectures, Verizon IT and Verizon Labs Technical Seminar Series, Verizon, Waltham, MA July 7, 2005; Verizon East ISOP 2005 Program, Boston, MA July 19, 2005; Colloquium, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brasil, August 2, 2005
  • The End of the Computing Era … Invited talk European Semantic Web Conference, Heraklion, Greece, May 26, 2005.
  • Convergence at the Tipping Point: Living in a Digital World, Invited Talk, Chiba Japan, May 11, 2005; Verizon Communications, June 2005
  • Opportunities for Semantics in Service-Oriented Architectures, Keynote, Web Services Semantics: Towards Dynamic Business Integration Workshop at the 14[th] WWW Conference 2005, Chiba, Japan, May 10, 2005. Invited talk, Keio University, Yokahama, Japan, May 9, 2005. Invited talk European Semantic Web Conference, Heraklion, Greece, May 26, 2005
  • Future Converged Digital Services, Invited talk, Telstra Corporation Ltd., Melbourne, Australia, August 16, 2004
  • Implications of Convergence, Invited talk, Annual meeting of the Advisory Board of the School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne, Switzerland, July 8-9, 2004
  • From Cartesian to Holistic, Human-Centered Solutions: Requirements for Cooperative Research, Invited talk, Fraunhofer Institute, Bonn, Germany, May 27, 2004
  • Holistic Solutions From Technologies that Converge, Shift, Disrupt, and Disappear, Keynote talk, InfoSam2020: The Information Society of 2020-an exercise in planning for the future, Trondheim, Norway, April 19-21, 2004.
  • Major Challenges Facing Database Research, panel presentation, 20[th] International Conference on Data Engineering, March 30 – April 2, 2004, Boston, USA
  • Industrial Requirements for (Semantic) Web Services, Invited presentation European Commission, Luxembourg, December 2, 2003
  • Invited Expert Contribution, European Commission Round Table on Knowledge Technologies and Digital Content, Information Society Technologies priority of the European Commission’s Sixth Framework Programme, European Commission, Luxembourg, December 1, 2003.
  • The Long and Winding Road to Industrial Strength Semantic Web Services. Colloquium, University Of Science & Technology, Hong Kong, November 17, 2003; Asian Institute of Technology, Bangkok, Thailand, Nov 19, 2003; and Department of Computer Science, School of Computing, National University of Singapore, Nov 24, 2003.
  • Enterprise-Level Integration: It’s Not About Technology, Inaugural lecture of the of the PLM Development Consortium, Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, November 11, 2003
  • The Long and Winding Road to Industrial Strength Semantic Web Services International Semantic Web Conference 2003 (ISWC’03), Sanibel Island, Florida, October 20-25, 2003.
  • Illuminating the Dark Side of Web Services, 29[th] Int’l Conference on Very Large Databases, Berlin, Germany, September 9-12, 2003
  • IT Grows Up, School of Computer and Communication Sciences (I&C), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, June 26, 2003; Dept. of Computing and Telecommunications, University of Trento, Trento, Italy, June 23, 2003; The 15[th] Conference On Advanced Information Systems Engineering, Klagenfurt/Velden, Austria, June 16-20, 2003
  • Conceptual Modelling and eBusiness, Int’l Conference on Conceptual Modelling, Klagenfurt/Velden, Austria, June 17, 2003
  • Very Large Enterprise IT: A Chief Scientists Perspective, Berlin-Brandenburg School of Distributed Information Systems, Berlin, Germany, May 22-23, 2003
  • Verizon IT Research Requirements, Forrester Research, Cambridge, MA, April 16, 2003.
  • Has the Database Community Lost its Way? First Semiannual Conference on Innovative Data Systems Research (CIDR), Asilomar, CA, January 5-9, 2003
  • The Grand Challenge of Information Technology: A Grand Opportunity for Web Services + The Semantic Web, OntoWeb, European Community 6[th] Framework Program, Innsbruke, Austria, December 16, 2002.
  • The Curious Road to E(veryday) Business, University of Chicago / Chicago Board of Trade, Chicago, IL, November 19, 2002; 2[nd] International Workshop on Research Issues on Data Engineering: Engineering E-Commerce/E-Business Systems (RIDE-2EC’2002), San Jose, CA, January 26, 2002
  • The Grand Challenge in Information Technology and the Illusion of Validity, Department of Information and Decision Sciences, University of Illinois at Chicago, Chicago, IL, November 19, 2002; Federated Event: International Symposium on Distributed Objects and Applications (DOA); Tenth International Conference on Cooperative Information Systems (CoopIS); International Conference on Ontologies, Databases and Applications of Semantics, University of California, Irvine, CA, October 28 – November 1, 2002; Keynote, Swiss Federal Institute of Technology (EPFL): Annual Research Day & Advisory Board Meeting, Lausanne, Switzerland, July 6, 2002; CAiSE’02, 14[th] Conference on Advanced Information Systems Engineering, Toronto, Canada, May 27, 2002
  • The Complexity of Information Integration in Large Enterprises, International Conference and Research Center for Computer Science, Schloss Dagstuhl, Wadern, Germany, April 29 – May 5, 2002
  • eBusiness: The Next Generation, NASA Goddard Space Flight Center, Colloquium, College Park, MD, April 11, 2001.
  • The E-Business Revolution: Bubble, Evolution, and Change, Invited Lecture, Business School, University of British Columbia, Vancouver, BC, Canada, January 26, 2001
  • The Convergence of Technologies (e.g., communications, computing), Services, Markets, Businesses, and Companies: Whose On First?, Prof. Lance J. Hoffman, Director of Cyberspace Policy Institute & Department of Computer Science, The George Washington University, Washington, DC, October 24, 2000
  • Broadening the Database Field, 26[th] Very Large Database Conference 2000, Cairo, Egypt, September 10-14, 2000
  • Challenges in Software Engineering in Large Scale Projects, CAiSE’2000, Stockholm, Sweden, June 5-9, 2000
  • The B2B e-Commerce Revolution: Convergence, Chaos, and Holistic Computing, Keynote National Science Foundation: NSF’2000 Information and Data Management Workshop, Chicago, IL March 2000, in revised form Keynote, Information Systems Engineering Symposium, Stockholm Sweden, June 5, 2000; BBN Science Development Program Seminar Series, Cambridge, MA, May 11, 2000; Global SAP Telecom Special Interest Group, Heidelberg, Germany, April 6, 2000; Telcordia Industries and Lucent Technologies, Morristown, NJ & broadcast to 3 Telcordia sites, March 24, 2000
  • eBusiness: The Next Generation, NASA Symposium, NASA Goddard Space Flight Center, College Park, MD, April 11, 2000
  • Rethinking ERP: The Second Generation, Keynote, EMRPS’99, Venice Italy, November 1999. and Global SAP Telecom Special Interest Group, Heidelberg Germany, April 5, 2000; GTE Enterprise Planning & Management, Irving, TX, February 9, 2000; GTE Laboratories, Waltham, MA, January 21, 2000; EMRPS’99, Venice, Italy, November 25, 1999; BBN’s DLA BSM Capture Team, BBN/GTO, Cambridge, MA, December 20, 1999
  • The Business-to-Business e-Commerce Revolution and Its Technology Requirements, National Science Foundation: NSF’2000 Information and Data Management Workshop, Chicago, IL, March 6, 2000
  • The Big Idea: NIMA’s Next Generation Systems, Open GIS Consortium / NIMA, Washington, DC, December 15, 1999.
  • Software Engineering in Large Scale Telcom Systems, Globecom 99, Rio De Janiero, Brasil, December 6, 1999
  • Challenges in Telcom IT Transformation, Globecom 99, Enterprise Application and Services Symposium, invited talk, Rio De Janiero, Brasil, December 6, 1999
  • Que Sera Sera: The Coincidental Confluence of Economics, Business, and Collaborative Computing, University of Toronto, Dept of Computer Science, Toronto, Ontario, November 15, 1999; International Symposium on Distributed Objects and Applications (DOA’99), Edinburgh, Scotland, September 5, 1999; BBNT, Washington, DC, August 16, 1999; BBN, BBNT, Cambridge, MA, July 19, 1999; GTO, GTE Laboratories, Waltham, MA, June 23, 1999; Int’l Conf on Data Engineering, Sydney, Australia, March 23-26, 1999
  • Question Answering Systems in Practice, American Association for Artificial Intelligence, Cape Cod, MA, November 5, 1999
  • Enterprise Resource Planning (ERP) in Telecom, Global SAP Telecommunication Special Interest Group, Waltham, MA, October 27, 1999
  • Technology Transfer in Telecom R&D, Int’l Telecom R&D Benchmarking Group, Bern, Switzerland, October 18, 1999.
  • ERP Systems and Infrastructure in Telecommunications, Telecom Italia, Rome, Italy, April, 1999.
  • Plenary Panel: Database Research Directions, Int’l Conference on Data Engineering, Sydney, Australia, March 26, 1999
  • GTE SAP Landscape, Global SAP Telecommunications Special Interest Group, Heidelberg, Germany, March 14-16, 1999
  • T-SIG Status: Issues and Future Direction, Global SAP Telecommunications Special Interest Group, Heidelberg, Germany, March 14-16, 1999
  • Successes and Lessons Learned in GTE’s SAP Program, Global SAP Telecommunications Special Interest Group, Heidelberg, Germany, March 14-16, 1999
  • Managing Large Enterprise Management Systems Programs, CNR, Telecom Italia, Rome, Italy, December, 18, 1998.
  • Enterprise Management Systems and Telecom Computing Architectures, CNR, Telecom Italia, Rome, Italy, December 18, 1998
  • Cooperative Computing: Next Generation Computing/Telecom, Dr. Michele Missikoff, CNR (Consiglio Nazionale delle Ricerche), the Italian National Research Council, Viale Manzoni, 30, Rome, Italy, December 17, 1998
  • Silver Bullet Shy on Legacy Mountain, GTE Internal Audit, Dallas, TX, September 28, 1998; Conf on Advanced Information System Engineering (CAiSE’96), Crete, Greece, May 1996, and in revised form over 20 presentations at Universities and industry worldwide; University Colloquium, Politechnico Di Milano, Italy, June 5, 1998
  • Status of SAP R/3 in Telecoms World-wide, Telecom Special Interest Group, Los Angeles, CA, September 11, 1998
  • Cooperative Information Systems: Industrial Reality, Research Fiction, 1998 CoopIS Conference, New York, NY, August 22, 1998
  • Global Data Management, Database Directions Workshop, Asilomar, CA, August 20, 1998
  • Panel: Data Semantics Can’t Fail This Time, 1998 CAiSE Conference, Pias, Italy, June 11, 1998
  • Panel: Are We Working on the Right Problems?, ACM SIGMOD ’98 Conference, Seattle, WA, June 3, 1998
  • Cooperative Information Systems: The Next Generation and Migrating To Them, Vigesimasextas Jornadas Argentinas de Informatica e Investigacion Operativa organizadas en Buenos Aires por SADIO, la Sociedad Argentina de Informatica, August 1997; and EDBT Summer School, Capri, Italy, September 1997
  • Managing The Entire Footprint, Sapphire97, Orlando, USA, August, 1997
  • Migrating Your Legacy System Is Harder Than You Ever Thought, Billing 97, Washington, DC, June 1997
  • On The Design and Development of Large Scale Cooperative Information Systems, Int’l Conf. On Very Large Databases (VLDB96), Mumbai, India, September 1996, and elsewhere
  • Telecommunicaçoes e Informatica: Grandes Desafios para Telebrás e GTE, CpQD, Telebras, Campinas, Sáo Paulo, Brasil
  • Legacy To Cooperative Information Systems: Visions and Challenges For Large-Scale Deployment, First IFCIS Int’l Conf. on Cooperative Information Systems, Brussels, Belgium, June 1996
  • The Emperor’s Clothes Are Object-Oriented (and Distributed), Object World, Frankfurt, Germany, October 1995; in revised form at 9[th] Int’l Symposium on Methodologies For Intelligent Systems, Zakopane, Poland, June 1996, and 20+ other presentations world-wide
  • The Sky Is Falling, The Sky Is Falling! Telco 2000, Tampa, Florida, February 27, 1996
  • OMA Framework and GTE End User Requirements for Business Objects, OMG Meeting, Santa Cruz, CA, June 26, 1995
  • Object Management Architecture: A GTE View, OMG Meeting, Cambridge, England, March 27, 1995
  • Putting Objects To Work On A Massive Scale, Swiss Computer Society’s Database SIG, Zurich, Switzerland, September 30, 1994. Universität Stuttgart, October 28, 1994. Also other locations
  • Interoperable Information Systems: Motivations, Status, Challenges, and Approaches, tutorial, November 12, 1992 at IFIP TC2/WG2.6 Conference on Semantics of Interoperable Database Systems, DS-5, Lorne, Victoria, Australia. Revised for the International Conference on Intelligent and Cooperative Information Systems, IJICIS `93, Rotterdam, The Netherlands, May 11-14, 1993, NATO Advanced Database Institute on OODBMS, Kusadasi, Turkey, August 6-15, 1993, and VLDB `93, Dublin, Ireland, August 24-27, 1993, CoopIS’94, Toronto, Canada, May 17, 1994
  • Migrating 60 Legacy Information Systems, Simultaneously, Nordic Symposium On Interoperability, Swedish Institute For Systems Development, Stockholm, Sweden, April 21, 1994
  • Distributed Object Management: A Core Technology For Future Computing, Extending Database Technology (EDBT’94), Cambridge, England, March 28, 1994. Also other locations
  • The Death of Databases And Other Stories, Oregon Graduate Institute, Portland, Oregon, February 4, 1994
  • Challenging the Database Community, SIGMOD `93, Washington DC, May 25-28, 1993
  • The Promise of Distributed Computing and the Challenge of Legacy Information Systems, invited talk IFIP TC2/WG2.6 Conference on Semantics of Interoperable Database Systems, DS-5, Lorne, Victoria, Australia, 16-20 November 1992, Elsevier Science Publishers, Amsterdam. Also presented at University of Queensland, Brisbane, Australia, November 1992, Politecnico di Milano, Milano, Italy, and at National Technical University of Athens, Athens, Greece, February 1993; keynote talk, 10[th] British National Conference on Databases, Aberdeen, Scotland, July 6 – 8, 1992. Also given at Academy of Sciences of Russia, Moscow and NPO Gorsisstemotechnika, Kiev, and the Institute of Cybernetics, Academy of Sciences, Ukraine, August 1992
  • Core Technology Challenges for Next-Generation Information Systems Third International Workshop on Intelligent and Cooperative Information Systems, Schloß Dagsthul, Germany, April 6-8, 1992
  • Object-Oriented, Distributed Computing in Telecommunications: Opportunities and Challenges (with B. Maring), Telecommunications Information Networking Architecture Workshop, Narita, Japan, January 21-23, 1992
  • Core Technology For Next-Generation Information Systems Second International Workshop on Intelligent and Cooperative Information Systems, Como, Italy, October 28-30, 1991
  • Interoperability: A Core Technology for Distributed Computing, Workshop on Future Directions in Database Research, Schloß Dagsthul, Germany, September 9-13, 1991
  • Artificial Intelligence – Database Integration: Current Trends and Future Directions Expert Systems Workshop, Nestec Ltd., Vevey, Switzerland, October 31, 1990
  • Computer Science and Social Responsibility: Aligning Our Personal and Professional Goals, Keynote Speaker, ACM SIGCAS Conference on Computers and the Quality of Life, Washington, D.C., September 13-16, 1990
  • Next-Generation Database and Computing Technology, Seminar on Research Issues in Computer Science, Institute of Computer Science-FORTH, Heraklion, Crete, Greece, July 1990
  • Interoperability to Enable Intelligent Networks, Advanced Intelligent Network, ComForum, Dallas, Texas, June 25-26, 1990
  • Global Optimization, Knowledge Base Management, and Interoperability, NSF Invitational Workshop on Future Directions in DBMS Research, Palo Alto, California, February 22-23, 1990
  • Next Generation Database Management Systems: Deductive, Object-Oriented, Both or Neither? Panel Organizer, 1[st] Int. Conf. on Deductive and Object-Oriented Databases, Kyoto, Japan, December 1989
  • Tutorial on Artificial Intelligence and Database Technologies (with J. Mylopoulos), tutorial and manuscript, presented to over 1,300 people in U.S.A., Canada, The Netherlands, Italy, Australia, Colombia, and Japan, March – December 1989
  • Integrating AI and Database Technologies, University of Wollongong, University of Technology, Sydney, December 1989
  • Open Computing: The Next Generation, University of Queensland, Brisbane, Australia, November 1989
  • Success and War Stories of Knowledge-Based Applications and Co-operating Databases (a panel), VLDB `89, Amsterdam, The Netherlands, August 1989
  • Distributed Object Management: From Databases to Object Spaces, USSR Academy of Sciences, Moscow and Leningrad (May 1989) and INRIA, Rocquencourt, France, August 1989
  • Applications of Object-Oriented Database Technology in Knowledge-Based Integrated Information Systems, USSR Academy of Sciences, Moscow and Leningrad, May 1989

  • Future Intelligent Information Systems: AI and Database Technologies Working Together, Invited talk, Seventh National Conference on Artificial Intelligence (AAAI-88) August 21–26, 1988, Saint Paul, Minnesota; invited talk, 14th International Conference on Very Large Data Bases (VLDB-88), August 29 – September 1, 1988, Los Angeles.

  • Automating Database Design and Development: A Tutorial, Computer Corporation of America, Cambridge, MA, May 1987
  • CAD/CAM Database Management, (with B.T. Blaustein, U. Dayal, F.A. Manola, and A.S. Rosenthal) Proc. SPOT-III (System Development: Theory and Practice), SYSLAB, Chalmers University of Technology, Gothenburg, Sweden, August 1984
  • A Database Design and Evaluation Workbench: Preliminary Report (with D. Reiner, G. Brown, M. Chilenskas, M. Friedell, D. Kramlich, J. Lehman, and A.S. Rosenthal), Proc. SPOT-III (System Development: Theory and Practice), SYSLAB, Chalmers University of Technology, Gothenburg, Sweden, August 1984
  • Action and Transaction Skeletons: High Level Language Constructs for Database Transactions (with D. Ridjanovic) Proc. SIGPLAN `83, San Francisco, CA, June 1983

  • Estado del arte en la technologia relacional (Relational Databases: State of the Art), 1st National Conference on Databases, Medellin, Colombia, August 23-28, 1982

  • Interrelación entre inteligencia artificial y Databases (Databases and Artificial Intelligence), 1st National Conference on Databases, Medellin, Colombia, August 23-28, 1982

  • Specification vs. Implementation (with D. Ridjanovic) Proc. COMPCON-81, Washington, DC, October 1981.
  • Association: A Database Abstraction for Semantic Modelling, Proc. 2[nd] Int. Entity-Relationship Conf., ER Institute, California, 1981
  • On Modelling Behavioral Semantics of Databases, Proc. 7[th] Int. Conf. on Very Large Databases, Cannes, France, September 1981
  • Issues in Investigating a Standard for the Relational Approach to Databases, (with J.W. Schmidt), Proc. NBS Conf. on Database Standards, 1981
  • A Functional Framework for Database Management Systems, Proc. NBS Conf. on DBMS Standards, 1981, available on microfiche from NTIS, No. AD-A 10510973
  • Proceedings of the Workshop on Data Abstraction, Databases, and Conceptual Modelling, Joint Special Issue of SIGPLAN Notices, January 1981. SIGMOD Record 11, 2, and SIGART Newsletter, 74
  • Data Abstraction for Designing Database-Intensive Applications, Proc. Workshop on Data Abstraction, Databases, and Conceptual Modelling, SIGPLAN Notices 16, 1, January 1981
  • Data Abstraction, Databases and Conceptual Modeling, Proc. 6[th] Int. Conf. on Very Large Databases, Montreal, Canada, October 1980
  • Standardization and the Relational Approach to Databases, Proc. 6[th] Int. Conf. on Very Large Databases, Montreal, Canada, October 1980
  • Action Schemes for Conceptual Modelling and Abstract Database Models for Database Modelling, in preprints from Workshop on Data Abstraction, Pingree Park, CO, June 1980
  • Data Quality: Data Reliability and Semantic Integrity, Proc. Infotech Int. Conf. on Data Design, invited paper, September 1979
  • What Is the Use of Abstract Data Types? (with J.W. Schmidt) Proc. Very Large Data Bases, September 1978
  • A Data Structure for Fast Relational Algebra Operations, (with A.L. Furtado), Proc. Asilomar Conf. November 1976
  • Small Business Systems, (with D.C. Tsichritzis), Proc. CIPS Canadian Computer Conf. June 1973