{"id":1379,"date":"2018-09-19T14:08:53","date_gmt":"2018-09-19T14:08:53","guid":{"rendered":"http:\/\/law-firm.bold-themes.com\/master-import\/?page_id=1379"},"modified":"2018-09-19T14:08:53","modified_gmt":"2018-09-19T14:08:53","slug":"tabs","status":"publish","type":"page","link":"https:\/\/lumai.bold-themes.com\/demo-02\/elements\/tabs\/","title":{"rendered":"Tabs"},"content":{"rendered":"

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<\/span><\/span><\/span><\/span><\/div><\/div>

Tabs<\/strong><\/span><\/span><\/h1><\/header><\/div><\/div><\/div>
<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section>
  • EDUCATION<\/span><\/li>
  • SELECTED WORKS<\/span><\/li>
  • PREVIOUS TALKS<\/span><\/li><\/ul>
    \n\t\t\t
    <\/span><\/span><\/span><\/span><\/div><\/div>
    <\/p>\n

    Dr Elena Rossi is an internationally recognized expert in applied artificial intelligence, data ethics, and scalable machine-learning systems, drawing on a strong academic foundation that includes a Master\u2019s in Artificial Intelligence from Imperial College London and a Bachelor\u2019s in Computer Science from the University of Edinburgh.<\/p>\n

    \n<\/div>

    <\/span><\/span><\/span><\/span><\/div><\/div>
    <\/p>\n
      \n
    • PhD in Computer Science (Machine Learning) \u2013 University of Edinburgh\u2028Dissertation: \u201cInterpretable Neural Models for Complex Decision Systems\u201d<\/li>\n
    • MSc in Data Analytics \u2013 King\u2019s College London<\/li>\n
    • BSc in Computer Engineering\u00a0\u2013 American University of Sharjah<\/li>\n<\/ul>\n

      \n<\/div><\/div><\/div><\/div>

      <\/p>\n

      With more than a decade of experience across emerging technology, financial systems, and public-sector digital transformation, Dr Elena focuses on helping organizations design AI that is both high-impact and human-centered. Her work spans AI governance frameworks, predictive analytics, and intelligent automation for enterprise and government applications.<\/p>\n

      \n<\/div><\/div><\/div><\/div><\/div><\/div><\/div>\n\t\t<\/div>

      \n\t\t\t
      <\/span><\/span><\/span><\/span><\/div><\/div>
      <\/p>\n
        \n
      • Deciding if their team should keep refining an existing analytics solution or invest time and resources into exploring whether new models could offer better performance\u00a0<\/li>\n
      • Assessing whether the time necessary to improve the performance of a project would cost more than the value that the additional performance would generate\u00a0<\/li>\n
      • Assessing whether their team has the expertise to complete an upcoming project \u2014 if not, the CDS must determine whether any skills gaps can be filled by providing their staff with training or if it\u2019s feasible to hire someone who holds the required skills\u00a0<\/li>\n
      • Ensuring all insights created by a project can be understood by the non-data scientists who need to understand them, such as the CEO<\/li>\n
      • Ensuring that company data is of high quality, secure and easily accessible. Develop and monitor policies, reduce data silos and work closely with IT and legal to ensure compliance.<\/li>\n
      • Supporting data scientists in gaining valuable insights from data. Providing tools and processes to incorporate analytics into business decisions, planning and workflows.<\/li>\n
      • Developing a company-wide roadmap on how to use data as a strategic asset. Promote data literacy across all teams and use KPIs such as sales growth, customer retention or conversion rates to monitor success.<\/li>\n<\/ul>\n

        \n<\/div><\/div>\n\t\t<\/div>

        \n\t\t\t
        <\/span><\/span><\/span><\/span><\/div><\/div>
        <\/p>\n
          \n
        • The Human Insights Missing From Big Data<\/li>\n
        • World Changing: Data Science and AI<\/li>\n
        • Why Everyone Should Be Data Literate<\/li>\n
        • The Next Decade of Fintech: AI & Blockchain<\/li>\n<\/ul>\n

          \n<\/div><\/div>\n\t\t<\/div><\/div><\/div>

          <\/span><\/span><\/span><\/span><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
          • EDUCATION<\/span><\/li>
          • SELECTED WORKS<\/span><\/li>
          • PREVIOUS TALKS<\/span><\/li><\/ul>
            \n\t\t\t
            <\/span><\/span><\/span><\/span><\/div><\/div>
            <\/p>\n

            Dr Elena Rossi is an internationally recognized expert in applied artificial intelligence, data ethics, and scalable machine-learning systems, drawing on a strong academic foundation that includes a Master\u2019s in Artificial Intelligence from Imperial College London and a Bachelor\u2019s in Computer Science from the University of Edinburgh.<\/p>\n

            \n<\/div>

            <\/span><\/span><\/span><\/span><\/div><\/div>
            <\/p>\n
              \n
            • PhD in Computer Science (Machine Learning) \u2013 University of Edinburgh\u2028Dissertation: \u201cInterpretable Neural Models for Complex Decision Systems\u201d<\/li>\n
            • MSc in Data Analytics \u2013 King\u2019s College London<\/li>\n
            • BSc in Computer Engineering\u00a0\u2013 American University of Sharjah<\/li>\n<\/ul>\n

              \n<\/div><\/div><\/div><\/div>

              <\/p>\n

              With more than a decade of experience across emerging technology, financial systems, and public-sector digital transformation, Dr Elena focuses on helping organizations design AI that is both high-impact and human-centered. Her work spans AI governance frameworks, predictive analytics, and intelligent automation for enterprise and government applications.<\/p>\n

              \n<\/div><\/div><\/div><\/div><\/div><\/div><\/div>\n\t\t<\/div>

              \n\t\t\t
              <\/span><\/span><\/span><\/span><\/div><\/div>
              <\/p>\n
                \n
              • Deciding if their team should keep refining an existing analytics solution or invest time and resources into exploring whether new models could offer better performance\u00a0<\/li>\n
              • Assessing whether the time necessary to improve the performance of a project would cost more than the value that the additional performance would generate\u00a0<\/li>\n
              • Assessing whether their team has the expertise to complete an upcoming project \u2014 if not, the CDS must determine whether any skills gaps can be filled by providing their staff with training or if it\u2019s feasible to hire someone who holds the required skills\u00a0<\/li>\n
              • Ensuring all insights created by a project can be understood by the non-data scientists who need to understand them, such as the CEO<\/li>\n
              • Ensuring that company data is of high quality, secure and easily accessible. Develop and monitor policies, reduce data silos and work closely with IT and legal to ensure compliance.<\/li>\n
              • Supporting data scientists in gaining valuable insights from data. Providing tools and processes to incorporate analytics into business decisions, planning and workflows.<\/li>\n
              • Developing a company-wide roadmap on how to use data as a strategic asset. Promote data literacy across all teams and use KPIs such as sales growth, customer retention or conversion rates to monitor success.<\/li>\n<\/ul>\n

                \n<\/div><\/div>\n\t\t<\/div>

                \n\t\t\t
                <\/span><\/span><\/span><\/span><\/div><\/div>
                <\/p>\n
                  \n
                • The Human Insights Missing From Big Data<\/li>\n
                • World Changing: Data Science and AI<\/li>\n
                • Why Everyone Should Be Data Literate<\/li>\n
                • The Next Decade of Fintech: AI & Blockchain<\/li>\n<\/ul>\n

                  \n<\/div><\/div>\n\t\t<\/div><\/div><\/div>

                  <\/span><\/span><\/span><\/span><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
                  • EDUCATION<\/span><\/li>
                  • SELECTED WORKS<\/span><\/li>
                  • PREVIOUS TALKS<\/span><\/li><\/ul>
                    \n\t\t\t
                    <\/span><\/span><\/span><\/span><\/div><\/div>
                    <\/p>\n

                    Dr Elena Rossi is an internationally recognized expert in applied artificial intelligence, data ethics, and scalable machine-learning systems, drawing on a strong academic foundation that includes a Master\u2019s in Artificial Intelligence from Imperial College London and a Bachelor\u2019s in Computer Science from the University of Edinburgh.<\/p>\n

                    \n<\/div>

                    <\/span><\/span><\/span><\/span><\/div><\/div>
                    <\/p>\n
                      \n
                    • PhD in Computer Science (Machine Learning) \u2013 University of Edinburgh\u2028Dissertation: \u201cInterpretable Neural Models for Complex Decision Systems\u201d<\/li>\n
                    • MSc in Data Analytics \u2013 King\u2019s College London<\/li>\n
                    • BSc in Computer Engineering\u00a0\u2013 American University of Sharjah<\/li>\n<\/ul>\n

                      \n<\/div><\/div><\/div><\/div>

                      <\/p>\n

                      With more than a decade of experience across emerging technology, financial systems, and public-sector digital transformation, Dr Elena focuses on helping organizations design AI that is both high-impact and human-centered. Her work spans AI governance frameworks, predictive analytics, and intelligent automation for enterprise and government applications.<\/p>\n

                      \n<\/div><\/div><\/div><\/div><\/div><\/div><\/div>\n\t\t<\/div>

                      \n\t\t\t
                      <\/span><\/span><\/span><\/span><\/div><\/div>
                      <\/p>\n
                        \n
                      • Deciding if their team should keep refining an existing analytics solution or invest time and resources into exploring whether new models could offer better performance\u00a0<\/li>\n
                      • Assessing whether the time necessary to improve the performance of a project would cost more than the value that the additional performance would generate\u00a0<\/li>\n
                      • Assessing whether their team has the expertise to complete an upcoming project \u2014 if not, the CDS must determine whether any skills gaps can be filled by providing their staff with training or if it\u2019s feasible to hire someone who holds the required skills\u00a0<\/li>\n
                      • Ensuring all insights created by a project can be understood by the non-data scientists who need to understand them, such as the CEO<\/li>\n
                      • Ensuring that company data is of high quality, secure and easily accessible. Develop and monitor policies, reduce data silos and work closely with IT and legal to ensure compliance.<\/li>\n
                      • Supporting data scientists in gaining valuable insights from data. Providing tools and processes to incorporate analytics into business decisions, planning and workflows.<\/li>\n
                      • Developing a company-wide roadmap on how to use data as a strategic asset. Promote data literacy across all teams and use KPIs such as sales growth, customer retention or conversion rates to monitor success.<\/li>\n<\/ul>\n

                        \n<\/div><\/div>\n\t\t<\/div>

                        \n\t\t\t
                        <\/span><\/span><\/span><\/span><\/div><\/div>
                        <\/p>\n
                          \n
                        • The Human Insights Missing From Big Data<\/li>\n
                        • World Changing: Data Science and AI<\/li>\n
                        • Why Everyone Should Be Data Literate<\/li>\n
                        • The Next Decade of Fintech: AI & Blockchain<\/li>\n<\/ul>\n

                          \n<\/div><\/div>\n\t\t<\/div><\/div><\/div>

                          <\/span><\/span><\/span><\/span><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":1348,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1379","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/lumai.bold-themes.com\/demo-02\/wp-json\/wp\/v2\/pages\/1379","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lumai.bold-themes.com\/demo-02\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/lumai.bold-themes.com\/demo-02\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/lumai.bold-themes.com\/demo-02\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lumai.bold-themes.com\/demo-02\/wp-json\/wp\/v2\/comments?post=1379"}],"version-history":[{"count":0,"href":"https:\/\/lumai.bold-themes.com\/demo-02\/wp-json\/wp\/v2\/pages\/1379\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/lumai.bold-themes.com\/demo-02\/wp-json\/wp\/v2\/pages\/1348"}],"wp:attachment":[{"href":"https:\/\/lumai.bold-themes.com\/demo-02\/wp-json\/wp\/v2\/media?parent=1379"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}