{"id":3642,"date":"2018-07-11T11:05:53","date_gmt":"2018-07-11T15:05:53","guid":{"rendered":"https:\/\/carleton.ca\/cuids\/?p=3642"},"modified":"2018-07-11T11:07:40","modified_gmt":"2018-07-11T15:07:40","slug":"data-day-5-0-tackles-big-datas-challenges","status":"publish","type":"post","link":"https:\/\/carleton.ca\/cuids\/2018\/data-day-5-0-tackles-big-datas-challenges\/","title":{"rendered":"Data Day 5.0 Tackles Big Data\u2019s Challenges"},"content":{"rendered":"<p><em>By Joseph Mathieu (published in Carleton Newsroom, June 5, 2018)<\/em><\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-3643 alignright\" src=\"https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/2-2.jpg\" alt=\"\" width=\"344\" height=\"229\" srcset=\"https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/2-2.jpg 1920w, https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/2-2-160x107.jpg 160w, https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/2-2-240x160.jpg 240w, https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/2-2-768x512.jpg 768w, https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/2-2-400x267.jpg 400w, https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/2-2-360x240.jpg 360w\" sizes=\"(max-width: 344px) 100vw, 344px\" \/>Big Data\u2019s challenges are as daunting as its opportunities are irresistible.<\/p>\n<p>That was the view as Carleton University gathered experts at its fifth annual Data Day on June 5<\/p>\n<p>Hosted by several local and regional partners, including Shopify, IBM, IMRSV Data Labs, CATA Alliance, MindBridge, Invest Ottawa and the Ontario Centres of Excellence, Data Day focuses on the latest developments in data science and analytics research.<\/p>\n<p>This year\u2019s themes of e-commerce, artificial intelligence (AI) and data regulation were dissected in panels and presentations throughout the day.<\/p>\n<p>Rafik Goubran, vice-president (Research and International), welcomed more than 400 attendees ranging from academics and Carleton staff to many representatives from finance, business, high technology and government sectors.<\/p>\n<p>\u201cData is becoming so vital to our operation that it\u2019s essential in everything we do at every turn in our life,\u201d said Goubran. \u201cThe problem in the past was we didn\u2019t have enough data. Now we have too much.\u201d<\/p>\n<p>Today, the reality is that big decisions in most industries aren\u2019t made without data analysis. As Hugh Cairns of the Sprott School of Business and the SAS Institute explained before participating in the E-Commerce, Big Data and Societal Change panel, the advent of the digital age and an increase in computational ability have brought data analytics to the forefront of all sectors.<\/p>\n<p>Data science can improve manufacturing and health-care technologies, transportation and public safety systems, cloud computing, DNA modelling, business analytics while tackling a slew of real-world problems.<\/p>\n<p>Frank Dehne, director of the Carleton University Institute for Data Science (CUIDS), said data science at Carleton is growing by leaps and bounds. Facing those Big Data challenges and accessing those opportunities is the number one priority of the Institute and its many departmental partners.<\/p>\n<p><a href=\"https:\/\/newsroom.carleton.ca\/2018\/data-day-5-0-tackles-big-datas-challenges\/\">Read more&#8230;<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>By Joseph Mathieu (published in Carleton Newsroom, June 5, 2018) Big Data\u2019s challenges are as daunting as its opportunities are irresistible. That was the view as Carleton University gathered experts at its fifth annual Data Day on June 5 Hosted by several local and regional partners, including Shopify, IBM, IMRSV Data Labs, CATA Alliance, MindBridge, [&hellip;]<\/p>\n","protected":false},"author":9,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","_mi_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[1],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data Day 5.0 Tackles Big Data\u2019s Challenges - Institute for Data Science<\/title>\n<meta name=\"description\" content=\"By Joseph Mathieu (published in Carleton Newsroom, June 5, 2018) Big Data\u2019s challenges are as daunting as its opportunities are irresistible. 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