[et_pb_section fb_built=”1″ admin_label=”section” _builder_version=”3.22″][et_pb_row _builder_version=”3.22.1″ border_color_all=”#3255c9″ border_style_all=”groove”][et_pb_column type=”1_2″ _builder_version=”3.22.1″][et_pb_text _builder_version=”3.22.1″ min_height=”11px” custom_margin=”||-25px|||” custom_padding=”||0px|||”]<\/p>\n
Michael J. Franklin<\/span><\/p>\n June 7, 2023, at 9:30 AM<\/span><\/p>\n Room 580F, Halle aux Farines, 10 rue Fran\u00e7oise Dolto<\/span><\/p>\n <\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”3.22.1″][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding=”44px|||||” custom_margin=”80px||80px” _builder_version=”3.22.1″][et_pb_column type=”2_3″ _builder_version=”3.22.1″][et_pb_text _builder_version=”3.22.1″ custom_margin=”-51px|||||” custom_padding=”0px|||||”]<\/p>\n <\/p>\n The field of Data Science continues to expand in scope, scale and importance. New flexible data architectures are reducing the friction for collecting, managing and accessing data. Open data standards and cloud computing are enabling rapid innovation leading to new products and entire new product categories. ML and AI are finally showing their ability to solve problems for non-expert users across many fields. This expansion brings the potential for increased value, but also brings with it an increase in the intricacy of data environments in terms of performance, accuracy, explainability, and management. This talk will survey several of these trends and discuss their implications for users as well as for those of us who are developing educational and research programs in this fast moving landscape.<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”3.22.1″][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”3.22.1″][et_pb_row _builder_version=”3.22.1″][et_pb_column type=”1_3″ _builder_version=”3.22.1″][et_pb_image src=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2023\/05\/michael-j-franklin.jpeg” align=”center” _builder_version=”3.22.1″ custom_margin=”20px|125px||||”][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_3″ _builder_version=”3.22.1″][et_pb_text _builder_version=”3.22.1″ custom_padding=”0px|||||”]<\/p>\n MICHAEL J. FRANKLIN is the Liew Family Chair of Computer Science and Sr. Advisor to the Provost for Computation and Data Science at the University of Chicago where he also serves as Faculty Co-Director of the Data Science Institute. Previously he was Thomas M. Siebel Professor of Computer Science at the University of California, Berkeley and served a term as Chair of the Computer Science Division. He was Co-Director of the Algorithms, Machines and People Laboratory (AMPLab) and is one of the original creators of Apache Spark, a leading open source platform for advanced data analytics and machine learning that was initially developed at the lab.<\/p>\n He is a Member of the American Academy of Arts and Sciences and is a Fellow of the ACM and the American Association for the Advancement of Science.\u00a0 He received the 2022 ACM SIGMOD Systems Award with the team that developed Spark, and is a two-time recipient of the ACM SIGMOD \u201cTest of Time\u201d award. He holds a Ph.D. from the Univ. of Wisconsin (1993).<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”120px||” _builder_version=”3.22.1″ locked=”off”][et_pb_column type=”4_4″ _builder_version=”3.0.47″][et_pb_divider _builder_version=”3.22.1″][\/et_pb_divider][et_pb_text admin_label=”\u00c0 lire aussi” _builder_version=”3.22.1″ z_index_tablet=”500″]<\/p>\n [\/et_pb_text][et_pb_blog posts_number=”4″ include_categories=”65″ show_author=”off” show_date=”off” show_pagination=”off” module_id=”page_type_blog” _builder_version=”3.22.1″ header_level=”h4″ border_width_bottom_fullwidth=”1px” border_color_bottom_fullwidth=”rgba(51,51,51,0.18)” custom_padding=”||50px|” z_index_tablet=”500″][\/et_pb_blog][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Michael J. Franklin June 7, 2023, at 9:30 AM Room 580F, Halle aux Farines, 10 rue Fran\u00e7oise Dolto Abstract The field of Data Science continues to expand in scope, scale and importance. New flexible data architectures are reducing the friction for collecting, managing and accessing data. Open data standards and cloud computing are enabling… Lire la suite Michael J. Franklin – Data Science Trends and Non-Trends: A Confluence of Complexity<\/span><\/a><\/p>\n","protected":false},"author":560,"featured_media":2812,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[53,1,65],"tags":[],"class_list":["post-2597","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-53","category-diip","category-distinguished-lectures"],"_links":{"self":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/2597","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/users\/560"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/comments?post=2597"}],"version-history":[{"count":3,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/2597\/revisions"}],"predecessor-version":[{"id":2602,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/2597\/revisions\/2602"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media\/2812"}],"wp:attachment":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media?parent=2597"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/categories?post=2597"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/tags?post=2597"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Abstract<\/strong><\/h3>\n
Prof. Michael J. Franklin
<\/strong>(University of Chicago)
<\/strong>
<\/strong><\/h3>\nOther distinguished lectures
<\/span><\/h2>\n