Twitter handle: @bschloss - not all posts represent views of IBM
LinkedIn: Bob Schloss
I am a member of the Financial Services Research department at the IBM Thomas J. Watson Research Center, in Yorktown Heights, New York, USA. I am also a member of the IBM Academy of Technology. A good overview of all the Financial Services Research we are doing can be found at Financial Services Research.
I am a researcher in the Financial Services Research department, where my focus is Financial Model Governance (including Model Risk Management and Model Validation); my secondary focus is Bias Detection (Metrics of Fairness) during the construction of AI Solutions used by Banks, Lendors, Payment Processors, Investment Companies and Insurance Companies. The Bias Detection work includes design of APIs to support plugable checkers, declarative representation of expectations including Data Fairness-Comprehensiveness-Quality, leveraging metadata, semantic data models, content analysis, and the use of XML-JSON-Linked Data for information integration. You can try pieces of this using IBM Research AI Fairness 360. I have a particular focus on what kinds of Bias Detection can be used by Enterprises in the Financial Services, who I believe are embracing deep-learning AI classifiers in a very strong way starting this year, but large enterprises or government agencies whose comptroller or treasurer or CFO function also use machine learning models are also of interest. My collaborators are located in India, China, Japan, Australia, Israel, Ireland and Switzerland.
I have an additional interest in how conversational agents (such as text-based or audio-based chatbots, or personal assistants) can be used both by employees of financial services firms, and by their customers.
At the end of 2017, I completed 4 years focused on Education delivery solutions (both classroom and distance education), Education learner and faculty experience, and Education monitoring and analytics systems used by K-12 Schools, Higher Education, Employee Education, Tutoring Services, and portfolio management by Learning Content Producers and Distributors, both for operational use such as Personalizing Learning at Scale, and for study of best practices ("Evidence-Based Learning"). My work is included in or has influenced the IBM Watson Classroom offerings as well as Teacher Advisor with Watson. Through year-end 2017, I worked closely with our Cognitive Computing for Education team, with the Cognitive Education and Interactions team at IBM Research-India, and teams at IBM Research Africa, IBM Tokyo Research Lab, and IBM Brazil Research Lab (including inclusive education), as well as with colleagues in IBM product and services groups.
My metadata approaches are being used by the first of IBM's Cognitive Computing (Text-Intensive AI) solutions, such as the Watson Natural Language Understanding and Watson Knowledge Graph services.
As one of the primary researchers at IBM to address Web-compatible metadata, I also respond to questions from IBM clients in fields as diverse as Publishers, Schools, Financial Services, Natural Resources, Automotive, and Consumer Products.
I also share perspectives with how clients can blend Open Data with their proprietary deta, and when it makes sense for them to share some of their data as Open data. I am interested in Data Commerce, in which the sharing is dependable and in exchange for some consideration (perhaps monetary).
Until 2012, I had been part of the Scalable XML Infrastructure team, whose concentration was how XML supports Web Services and Service-Oriented Architecture and how Real-World Aware SOA and BPM can be developed, and appropriate blending of procedural and declarative languages. This team, now known as Data Languages Science, continues their excellent work.
In 2012-13, I collaborated on the creation of logical models for urban information of diverse types, using a blend of techniques coming from the worlds of ontologies, semantic web, Web 2.0 data sharing, and XML business object design. Parts of the strategy to use this in cities are laid out in two articles I co-authored in the IBM Journal of Research and Development (Volume 55, Issue 1) which is available through IEEExplore. More information about this is on the page about the SCRIBE Models and Methodology project.
In early 2013, I was exploring how these composable logical models of urban information can be used by projects using data from the City of Dublin, and beginning to explore making them useful to Environment and Health Departments (in Singapore), Real Estate Developers, Construction Companies, Urban Planners, Architects, Sustainability Consultants and Economists, through the Urban Systems Collaborative.
My interests are the use of IT for Sustainability and Optimization (part of what IBM calls Smarter Planet), information governance, metadata, Web 2.0, middleware support of policy-based governance, and Virtual XML and Virtual RDF and Virtual JSON. I am interested in the use of XML and RDF in inter-organizational long-running transactions and information exchange, in Web Services, and in distributed applications in general. I am also interested in the social impact of technology upon individuals and cultures, including Ethics in AI Systems, and the use of IT to support better resource management leading to less impact on the natural systems of the Earth for a given level of products and services. In that role, I am an adjunct member of IBM Research's Smarter Cities team.
I am a senior member of ACM and a senior member of IEEE, and a member of the IBM Academy of Technology.
My Internet- and Web-related earlier work
I was a developer of the Platform for Internet Content Selection (PICS) technical specifications, which are a World Wide Web Consortium Recommendation.
I was the co-chair of the W3C's Resource Description Framework Data Model and Syntax working group, which ten years ago produced the RDF Model and Syntax Recommendation. With colleagues, I presented a tutorial on Metadata and RDF at WWW7 in Brisbane Australia in April 1998, and at Tech'99 in San Jose, California in March 1999. I presented Metadata using Resource Description Framework as a post-WebNet99 Conference Tutorial, October 1999. RDF is now the foundation of Linked Open Data as well as leveraged by the Web Ontology Language (OWL) and Open Services for Lifecycle Collaboration.
I worked on creation, diagnostic, translation, analysis and repository tools for the W3C XML Schema language, how this might tie in with tools that create stylesheets, mapping rules, or Xforms, as well as contributing to exploratory work on XML and databases. With colleagues, an XML Schema Infoset Model for Java has been produced, and it is being maintained through an open source effort. You can find details at http://www.eclipse.org/xsd. I presented a talk on Getting Started with the XML Schema Language at WWW10 in May 2001.
Starting in the 4th quarter of 2000 and continuing through the first half of 2002, I was one of 15 members of a project organized by the Computer Science and Telecommunications Board and the Board on Children, Youth and Families of the National Research Council (the operating arm of the US National Academies), which was established at the request of the US Congress. A book with our study results is available from National Academies Press here. You can read the study or an overview. For more information, see Tools and Strategies for Protecting Kids from Pornography and Their Applicability to Other Inappropriate Internet Content.
On September 19, 2003, I spoke on "What Technology Can do In Preventing Strangers with Intent to Harm from contacting children on the net", at the International Forum held in Berlin Gegen Kindesmissbrauch im Internet.
My early work on Metadata and Information Integration for Enterprises
In October 2008, I spoke at the IBM Information on Demand Conference on the topic of Metadata Interoperability Framework for Data Integration and Governance, with one of my collaborators from the IBM China Research Lab, Yue Pan. Papers, posters and demos related to our Metadata research were also presented at the International Semantic Web Conference in October 2008.