Machine Learning and Languge
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The document discusses the importance of combining structured and unstructured data through machine learning to unlock untapped potential in various scientific fields. It outlines the challenges of machine learning adoption, particularly related to human-computer interaction and the nuances of human language. The Global IT Solutions (GITS) methodology offers frameworks for integrating data and improving machine learning capabilities while acknowledging existing hurdles.
Machine Learning and Languge
- 1. Object-Oriented Data Governance Overview Global IT Solutions Intuitive, Cost Effective, Data-Centric, Scalable Solutions Global IT Solutions (GITS) Presents: Machine Learning and Language Global IT Solutions Intuitive, Cost-Effective, Scalable Solutions
- 2. 2 Machine Learning and the importance of Language
- 3. Genetics Pharmaceuticals Medicine Hematology Anatomy Different Business Areas have a Common Denominator Solving a common puzzle… Question: What do the above areas of science have in common? Pathology
- 4. 4 Answer is - Untapped Potential! Like other industries, 80% of information is Unstructured, and buried in Artifacts: o Journals o Websites o Publications Scientists create Artifacts to share knowledge If Knowledge is power and Information fuels Knowledge - then logic dictates that vast opportunities are being missed So you’ve digitized/scanned your documents… You’ve provided document-to-document links on the Web… Information stored in documents (unstructured data) is still ‘buried’ – you can’t link it to structured/geospatial data Thus, you’re still not getting the results you were looking for… The Problem
- 5. It doesn’t have to be this way… 5 You can build a Roadmap that leverages both Structured and Unstructured Data Strategies You can forge Interoperability/Collaboration, Globally You can enlist Machines to exceed the limits of humans.. The Future is here The contents of Unstructured documents from various scientists can be shared and linked in a meaningful way Can you measure the benefits of your improvements? Do your plans include building and implementing the framework that is necessary to sustain 'Machine Learning'? Let's talk a little bit about Machine Learning benefits and hurdles...
- 6. . 6 You may not know that much about Machine Learning (ML) … But you know enough to know you don’t want what's behind Doors #2 and #3… You also know that nothing is as easy as they say it is Question: So, who’s right? The Experts say that ‘Machine Learning’ can achieve your objectives….
- 7. The Answer: You both are (you and the experts) You can ‘teach the Machine’ to learn and help: Discover patterns and similarities across millions of Artifacts Impart Knowledge contained in Unstructured Text and Structured Data Make Inferences and Extrapolations on what you provide Aid in making decisions Exceed the limits of humans But you are also right, there will be hurdles… The hurdles are rooted in both the Machine and Humans GITS uses the term ‘hurdles’ deliberately – the following items are not ‘problems’, they are just realities that have to be addressed 7 Machine Learning
- 8. Hurdle #1: Machine Learning is a gradual process… 8 Reality #1 – When teaching new concepts to the Machine, assume it thinks like a Child Reality #2 -- You also must think like a Child, to understand the ML process Reality #3 – You can’t assume the Machine has grasped a concept, you have to prove it Reality #4 - Machine Learning Maturity is obtained through trial-and-error – you need to conduct ‘experiments’ Reality #5 – You don’t need to be a genius to conduct experiments, for trial-and-error ML Reality #6 – You do need to keep track of your experiments to determine how the Machine has matured.
- 9. 9 Reality #8 -- People work in Silos. You can't change it. People like their Silos. Within a given Silo, as Unstructured/Structured Data is captured, Reality #7 is not a problem In an Integrated Environment, Reality #7 is a problem Reality #7 -- There is a ‘Vernacular’, collectively - among Colleagues; within Global Regions, independently - amongst Authors When individuals speak, it is common to use Synonyms, Homonyms and Homographs Hurdle #2: The Human Language is fluid.. Reality #9 -- Enterprises rarely understand the importance of having Ontologies/Taxonomies – until they witness the benefits
- 10. Taxonomy Example 10 The GITS Methodology: Provides visual representations of Taxonomies (e.g., Venn, Hierarchy) specific to the language of the business Stores Taxonomies as Meta-Data Provides the ability to link Unstructured Data Structured Data Geospatial Data
- 11. GITS is realistic about the hurdles… GITS doesn’t attempt to change these Realities, our Methodology accommodates them Before you can teach the machine, GITS can show you how to manage the language GITS will develop a Framework that can sustain Machine Learning GITS will help you to ‘Practice what you teach’ the Machines If you manage the language properly, you can exceed your expectations 11 11
- 12. • The GITS Methodology: – Mitigates ‘Untapped Potential’ – Uses Ontologies/Taxonomies (as diagrams and Metadata) – Links meaningful content from Unstructured Documents to Structured Data/Geospatial Information – Creates an environment amenable to efficient Machine Learning – Facilitates Machine Learning • GITS understands how to: – Use Machines to exceed the limits of humans – Provide Cost-Effective, Data-Centric Solutions 12 GITS provides The Solution
- 13. 13 Are the following part of your Solutions Framework? Bi-Temporal Time Series Solutions Interoperability, Collaboration and Operational Efficiency Unstructured/Structured Data Analytics Multifaceted Business Intelligence (i.e., Unstructured/Structured Data, Geospatial) Leveraging Social Media and Big Data Ontology/Taxonomy Management and Implementation Data Architecture/Data Science Cost-Based Data Governance Preparation for and usage of Machine Learning If not, discover why they should be – contact us for a free Consultation Session 13
- 14. 14 Visit our website or contact us for additional information Global IT Solutions info@globalitsolutionscorp.com www.globaliltsolutionscorp.com 732-356-0835