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    <title>IMPLEMENTED (AI, Advanced Analytics)</title>
    <description>In IMPLEMENTED, Chip Alexandru interviews leading global start-ups working on artificial Intelligence and advanced analytics solutions for businesses, to learn about practical applications, how to implement and what benefits can be expected.</description>
    <copyright>2020-2025 Chip Alexandru</copyright>
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    <pubDate>Wed, 23 Sep 2020 07:17:14 +0000</pubDate>
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    <itunes:summary>In IMPLEMENTED, Chip Alexandru interviews leading global start-ups working on artificial Intelligence and advanced analytics solutions for businesses, to learn about practical applications, how to implement and what benefits can be expected.</itunes:summary>
    <itunes:author>Chip Alexandru</itunes:author>
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    <itunes:keywords>ai, machine learning, business, analytics, start-ups, applications, artificial intelligence, consulting, technology</itunes:keywords>
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      <itunes:name>Chip Alexandru</itunes:name>
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        <![CDATA[<p>In this episode I discuss with Harjinder Sandhu, CEO of Saykara, about conversational AI applied to the medical space to help capture doctor patient conversations to help charting. </p><p>We also touch on future trends, the growth in telemedicine and the broader opportunity of AI to help provide better care. </p>
]]>
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      <pubDate>Wed, 23 Sep 2020 07:17:14 +0000</pubDate>
      <author>chip.alexandru@gmail.com (Chip Alexandru)</author>
      <link>https://implemented.simplecast.com/episodes/saykara-c6fQ_5iL</link>
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        <![CDATA[<p>In this episode I discuss with Harjinder Sandhu, CEO of Saykara, about conversational AI applied to the medical space to help capture doctor patient conversations to help charting. </p><p>We also touch on future trends, the growth in telemedicine and the broader opportunity of AI to help provide better care. </p>
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      <itunes:title>Conversational AI to automate physician charting following patient visits</itunes:title>
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        <![CDATA[<p>Conversation with Professor Gurhan Kok, Founder and Chief Scientist at Invent Analytics about making better pricing and supply chain decisions in retail to drive sales and profitability uplift</p><p>https://www.inventanalytics.com/</p>
]]>
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      <pubDate>Wed, 16 Sep 2020 04:58:40 +0000</pubDate>
      <author>chip.alexandru@gmail.com (Chip Alexandru)</author>
      <link>https://implemented.simplecast.com/episodes/invent-analytics-YYVKT3hB</link>
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        <![CDATA[<p>Conversation with Professor Gurhan Kok, Founder and Chief Scientist at Invent Analytics about making better pricing and supply chain decisions in retail to drive sales and profitability uplift</p><p>https://www.inventanalytics.com/</p>
]]>
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        <![CDATA[<p>In this episode I discuss the benefits of find the best pairing between customers and agents/employees in customer service and sales, using AI,  with Cecilia Braggiotti, SVP and Head of Growth of Afiniti.</p>
]]>
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      <pubDate>Tue, 8 Sep 2020 04:47:42 +0000</pubDate>
      <author>chip.alexandru@gmail.com (Chip Alexandru)</author>
      <link>https://implemented.simplecast.com/episodes/afiniti-KqQ_F05A</link>
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        <![CDATA[<p>In this episode I discuss the benefits of find the best pairing between customers and agents/employees in customer service and sales, using AI,  with Cecilia Braggiotti, SVP and Head of Growth of Afiniti.</p>
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      <itunes:title>AI supported human pairing to drive value in customer center interactions</itunes:title>
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        <![CDATA[<p>In this episode I discuss connecting loyalty programs and loyalty points exchange using Blockchain, with Animesh Ghosh, CEO and Co-Founder at KornChain a London based start-up.</p>
]]>
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      <pubDate>Wed, 2 Sep 2020 04:41:16 +0000</pubDate>
      <author>chip.alexandru@gmail.com (Chip Alexandru)</author>
      <link>https://implemented.simplecast.com/episodes/kornchain-U_ChENdM</link>
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        <![CDATA[<p>In this episode I discuss connecting loyalty programs and loyalty points exchange using Blockchain, with Animesh Ghosh, CEO and Co-Founder at KornChain a London based start-up.</p>
]]>
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      <itunes:title>Connecting loyalty programs using Blockchain</itunes:title>
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      <title>Predicting demand for newly launched consumer products using AI</title>
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        <![CDATA[<p>In this episode I discuss predicting demand for newly launched products using AI with Tim Hall, CEO and Co-founder at Simporter.</p>
]]>
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      <pubDate>Tue, 25 Aug 2020 04:21:49 +0000</pubDate>
      <author>chip.alexandru@gmail.com (Chip Alexandru)</author>
      <link>https://implemented.simplecast.com/episodes/simporter-_5qUeg02</link>
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        <![CDATA[<p>In this episode I discuss predicting demand for newly launched products using AI with Tim Hall, CEO and Co-founder at Simporter.</p>
]]>
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      <itunes:title>Predicting demand for newly launched consumer products using AI</itunes:title>
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        <![CDATA[<p>In this episode I cover an interesting application of AI Voice technology. I discuss with Stas Tushinskiy CEO and Co-founder of Instreamatic about their interactive, conversational audio ads platform. </p><p>See example below <a href="https://instreamatic.com/?sampleId=insurance">https://instreamatic.com/?sampleId=insurance</a></p><p> </p>
]]>
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      <pubDate>Thu, 20 Aug 2020 04:58:38 +0000</pubDate>
      <author>chip.alexandru@gmail.com (Chip Alexandru)</author>
      <link>https://implemented.simplecast.com/episodes/instreamatic-XnmkNwOl</link>
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        <![CDATA[<p>In this episode I cover an interesting application of AI Voice technology. I discuss with Stas Tushinskiy CEO and Co-founder of Instreamatic about their interactive, conversational audio ads platform. </p><p>See example below <a href="https://instreamatic.com/?sampleId=insurance">https://instreamatic.com/?sampleId=insurance</a></p><p> </p>
]]>
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      <itunes:title>AI enabled interactive, conversational audio ads</itunes:title>
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        <![CDATA[<p>In this episode I discuss AI applied to network security, with Geoff Coulehan, Head of Sales and Strategic Alliances at MixMode. </p><p>Mixmode is a leading AI cybersecurity company based in Santa Barbara, California.  </p><p>Geoff does a fantastic job explaining recent network security challenges for enterprises and MixMode's novel approach.</p>
]]>
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      <pubDate>Tue, 18 Aug 2020 04:33:00 +0000</pubDate>
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        <![CDATA[<p>In this episode I discuss AI applied to network security, with Geoff Coulehan, Head of Sales and Strategic Alliances at MixMode. </p><p>Mixmode is a leading AI cybersecurity company based in Santa Barbara, California.  </p><p>Geoff does a fantastic job explaining recent network security challenges for enterprises and MixMode's novel approach.</p>
]]>
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      <itunes:title>AI for network security</itunes:title>
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      <itunes:summary>AI for Network security with Geoff Coulehan, Head of Sales and Strategic Alliances at MixMode. </itunes:summary>
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        <![CDATA[<p>This episode covers AI in Customer service, including customer service automation discussed with Chris Kellner, Global VP Sales and Partnerships at Digital Genius. The integration between natural language processing and other internal workflows makes DigitalGenius very effective as Swiss based On shoes example shows. </p><p>I also summarize other customer service applications discussed in past episodes (Gamalon, Cresta AI and Zhuiyi Technologies).</p><p> </p>
]]>
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      <pubDate>Thu, 13 Aug 2020 06:13:21 +0000</pubDate>
      <author>chip.alexandru@gmail.com (Chip Alexandru)</author>
      <link>https://implemented.simplecast.com/episodes/digitalgenius-NLkV4XGa</link>
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        <![CDATA[<p>This episode covers AI in Customer service, including customer service automation discussed with Chris Kellner, Global VP Sales and Partnerships at Digital Genius. The integration between natural language processing and other internal workflows makes DigitalGenius very effective as Swiss based On shoes example shows. </p><p>I also summarize other customer service applications discussed in past episodes (Gamalon, Cresta AI and Zhuiyi Technologies).</p><p> </p>
]]>
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      <itunes:title>AI in Customer Service</itunes:title>
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        <![CDATA[<p>In this episode I cover AI in the industrial space with Henry Guo from Petuum. We start our conversation with the origin and the mission of Petuum. Petuum focuses on AI for autonomous, supervised steering of manufacturing operations. We discuss why this is important for clients, benefits and implementation considerations.</p>
]]>
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      <pubDate>Mon, 10 Aug 2020 04:54:35 +0000</pubDate>
      <author>chip.alexandru@gmail.com (Chip Alexandru)</author>
      <link>https://implemented.simplecast.com/episodes/petuum-UvHWefUF</link>
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        <![CDATA[<p>In this episode I cover AI in the industrial space with Henry Guo from Petuum. We start our conversation with the origin and the mission of Petuum. Petuum focuses on AI for autonomous, supervised steering of manufacturing operations. We discuss why this is important for clients, benefits and implementation considerations.</p>
]]>
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      <itunes:title>AI for industrial enterprises</itunes:title>
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        <![CDATA[<p>In this episode I am coming back to the topic of Artificial Intelligence in China. It features my conversation with Claire Xiong, Director business strategy at Zhuiyi Technology, a China based leader in AI virtual assistant technology for enterprise.</p><p>Many articles and books on the development of AI in China present the role of the government in setting up the ambition to make China the global AI leader. This might create however the impression that AI in China is driven only top down as the vibrant research and start-up ecosystem  is not well known.</p>
]]>
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      <pubDate>Tue, 7 Jul 2020 05:36:04 +0000</pubDate>
      <author>chip.alexandru@gmail.com (Chip Alexandru)</author>
      <link>https://implemented.simplecast.com/episodes/zhuiyi-technology-MTBF3IwI</link>
      <content:encoded>
        <![CDATA[<p>In this episode I am coming back to the topic of Artificial Intelligence in China. It features my conversation with Claire Xiong, Director business strategy at Zhuiyi Technology, a China based leader in AI virtual assistant technology for enterprise.</p><p>Many articles and books on the development of AI in China present the role of the government in setting up the ambition to make China the global AI leader. This might create however the impression that AI in China is driven only top down as the vibrant research and start-up ecosystem  is not well known.</p>
]]>
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      <itunes:title>Artificial Intelligence in China</itunes:title>
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      <title>Synthetic (AI generated) media for enterprise applications</title>
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        <![CDATA[<p>This episode covers synthetic (AI generated) media for enterprise use, the benefits and practical applications and considerations on ensuring legal and ethical use. </p><p>I discuss with  Victor Riparbelli, Co-founder and CEO at Synthesia about synthetic video: state of technology, business applications and benefits as well as future potential.</p><p>Synthesia's tech in action:</p><p><a href="https://www.youtube.com/watch?v=QiiSAvKJIHo">https://www.youtube.com/watch?v=QiiSAvKJIHo</a></p>
]]>
      </description>
      <pubDate>Tue, 30 Jun 2020 04:00:21 +0000</pubDate>
      <author>chip.alexandru@gmail.com (Chip Alexandru)</author>
      <link>https://implemented.simplecast.com/episodes/synthesia-qpNICMia</link>
      <content:encoded>
        <![CDATA[<p>This episode covers synthetic (AI generated) media for enterprise use, the benefits and practical applications and considerations on ensuring legal and ethical use. </p><p>I discuss with  Victor Riparbelli, Co-founder and CEO at Synthesia about synthetic video: state of technology, business applications and benefits as well as future potential.</p><p>Synthesia's tech in action:</p><p><a href="https://www.youtube.com/watch?v=QiiSAvKJIHo">https://www.youtube.com/watch?v=QiiSAvKJIHo</a></p>
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      <itunes:title>Synthetic (AI generated) media for enterprise applications</itunes:title>
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        <![CDATA[<p>Joel Beal, Co-founder and CEO at Alloy discusses how brands and CPGs drive business value from data and analytics on the entire value chain, from production to consumer demand. We talk about how players across this value chain, retailers, logistics companies, co-packers share data such as inventory levels, sales, shipments, through Alloys' platform, for the benefit of all. We also cover the relevant use cases and benefits such as reducing working capital and waste but also improving service levels, reducing out of stocks and driving growth. </p>
]]>
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      <pubDate>Mon, 22 Jun 2020 05:48:38 +0000</pubDate>
      <author>chip.alexandru@gmail.com (Chip Alexandru)</author>
      <link>https://implemented.simplecast.com/episodes/leverage-data-and-analytics-throughout-the-retail-value-chain-jkDFQmVq</link>
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        <![CDATA[<p>Joel Beal, Co-founder and CEO at Alloy discusses how brands and CPGs drive business value from data and analytics on the entire value chain, from production to consumer demand. We talk about how players across this value chain, retailers, logistics companies, co-packers share data such as inventory levels, sales, shipments, through Alloys' platform, for the benefit of all. We also cover the relevant use cases and benefits such as reducing working capital and waste but also improving service levels, reducing out of stocks and driving growth. </p>
]]>
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      <itunes:title>Drive business performance through leveraging data and analytics throughout the retail value chain</itunes:title>
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        <![CDATA[<p>Vernon Bubb, Managing Director at Clari, a leading revenue operations platform talks about helping sales organizations with forecasting, pipeline management and sales analytics with the help of AI. We cover success stories and impact, and end with the most important changes in behavior, among sales professionals using Clari, during Coronavirus lock-down and beyond.</p>
]]>
      </description>
      <pubDate>Fri, 19 Jun 2020 04:33:24 +0000</pubDate>
      <author>chip.alexandru@gmail.com (Chip Alexandru)</author>
      <link>https://implemented.simplecast.com/episodes/clari-NK8FgpzF</link>
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        <![CDATA[<p>Vernon Bubb, Managing Director at Clari, a leading revenue operations platform talks about helping sales organizations with forecasting, pipeline management and sales analytics with the help of AI. We cover success stories and impact, and end with the most important changes in behavior, among sales professionals using Clari, during Coronavirus lock-down and beyond.</p>
]]>
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      <itunes:title>AI enabled revenue operations for better sales forecasting and pipeline management</itunes:title>
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        <![CDATA[<p>David Drai, Co-founder and CEO at Anodot, talks about how Business Intelligence  tools must evolve in a data driven world and how Anodot uses machine learning to autonomously track key operational and financial KPIs and detect and alert on revenue leaks and cost spikes in real time. We discuss applications, success stories and implementation considerations.</p>
]]>
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      <pubDate>Wed, 17 Jun 2020 05:42:06 +0000</pubDate>
      <author>chip.alexandru@gmail.com (Chip Alexandru)</author>
      <link>https://implemented.simplecast.com/episodes/anodot-jPQrhRBL</link>
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        <![CDATA[<p>David Drai, Co-founder and CEO at Anodot, talks about how Business Intelligence  tools must evolve in a data driven world and how Anodot uses machine learning to autonomously track key operational and financial KPIs and detect and alert on revenue leaks and cost spikes in real time. We discuss applications, success stories and implementation considerations.</p>
]]>
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      <itunes:title>Real time business intelligence and financial performance monitoring powered by machine learning</itunes:title>
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        <![CDATA[<p>Mark West, Head of Europe of 4Paradigm, a China based AI leader and a unicorn, talks about 4Paradigm's technology, its applications and success stories. We also cover key AI trends in China,  as well as post-Covid developments in further digitization and use of AI for Chinese enterprises.</p>
]]>
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      <pubDate>Mon, 15 Jun 2020 04:28:03 +0000</pubDate>
      <author>chip.alexandru@gmail.com (Chip Alexandru)</author>
      <link>https://implemented.simplecast.com/episodes/4paradigm-l9ADa1rL</link>
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        <![CDATA[<p>Mark West, Head of Europe of 4Paradigm, a China based AI leader and a unicorn, talks about 4Paradigm's technology, its applications and success stories. We also cover key AI trends in China,  as well as post-Covid developments in further digitization and use of AI for Chinese enterprises.</p>
]]>
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      <itunes:title>AI powered digital transformations, lessons from China's lead in the field of AI</itunes:title>
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        <![CDATA[<p>Atakan Cetinsoy, VP Predictive Applications at BigML talks about trends and opportunities of applying machine learning in enterprise. We cover BigML’s machine learning as a service platform, its application, use and success stories. We end with Atakan’s views on success characteristics of data driven companies. </p>
]]>
      </description>
      <pubDate>Wed, 10 Jun 2020 05:25:00 +0000</pubDate>
      <author>chip.alexandru@gmail.com (Chip Alexandru)</author>
      <link>https://implemented.simplecast.com/episodes/bigml-eqVIda5c</link>
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        <![CDATA[<p>Atakan Cetinsoy, VP Predictive Applications at BigML talks about trends and opportunities of applying machine learning in enterprise. We cover BigML’s machine learning as a service platform, its application, use and success stories. We end with Atakan’s views on success characteristics of data driven companies. </p>
]]>
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      <itunes:title>Machine learning as a service</itunes:title>
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        <![CDATA[<p>TJ Brenninkmeijer, Executive VP BloomReach EMEA talks about key e-commerce trends  during Covid crisis and beyond and how BloomReach is powering a quarter of the booming online commerce, with the help of AI and personalization. We end with TJ's view on the opportunities of AI to further drive e-commerce.</p>
]]>
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      <pubDate>Mon, 8 Jun 2020 05:12:51 +0000</pubDate>
      <author>chip.alexandru@gmail.com (Chip Alexandru)</author>
      <link>https://implemented.simplecast.com/episodes/bloomreach-7_s1AeDM</link>
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        <![CDATA[<p>TJ Brenninkmeijer, Executive VP BloomReach EMEA talks about key e-commerce trends  during Covid crisis and beyond and how BloomReach is powering a quarter of the booming online commerce, with the help of AI and personalization. We end with TJ's view on the opportunities of AI to further drive e-commerce.</p>
]]>
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      <itunes:title>E-commerce powered by AI and personalization</itunes:title>
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        <![CDATA[<p>Rob Massa, Chief Revenue Officer at Forecast, discusses how Forecast helps project based organizations such as consulting firms or agencies, automate project planning, budgeting and administration with the help of AI.</p>
]]>
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      <pubDate>Fri, 5 Jun 2020 05:38:50 +0000</pubDate>
      <author>chip.alexandru@gmail.com (Chip Alexandru)</author>
      <link>https://implemented.simplecast.com/episodes/forecast-vO2cLi0O</link>
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        <![CDATA[<p>Rob Massa, Chief Revenue Officer at Forecast, discusses how Forecast helps project based organizations such as consulting firms or agencies, automate project planning, budgeting and administration with the help of AI.</p>
]]>
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      <itunes:title>Automate project planning, scheduling and administration using AI, for project driven organizations</itunes:title>
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        <![CDATA[<p>Rosaria Silipo, Principal Data Scientist at Knime, discusses the recent history of the practice of machine learning, starting with some of the the early 90's  applications to the most promising use cases of today and tomorrow. We also cover innovation with machine learning, automated machine learning and its limitations and challenges with deploying machine learning models.</p><p>Rosaria kindly offered a free download code of her book <a href="https://www.knime.com/knimepress/practicing-data-science">https://www.knime.com/knimepress/practicing-data-science</a>.</p><p>Comment on Twitter for the code <a href="https://twitter.com/ChipAlexandru">https://twitter.com/ChipAlexandru</a></p><p> </p><p>Links related to some of the more technical topics in the podcast</p><p>Crisp-DM cycle <a href="https://en.wikipedia.org/wiki/Cross-industry_standard_process_for_data_mining">https://en.wikipedia.org/wiki/Cross-industry_standard_process_for_data_mining</a></p><p>Long Short-term memory applied to Natural Language Processing <a href="https://en.wikipedia.org/wiki/Long_short-term_memory">https://en.wikipedia.org/wiki/Long_short-term_memory</a></p>
]]>
      </description>
      <pubDate>Wed, 3 Jun 2020 04:54:59 +0000</pubDate>
      <author>chip.alexandru@gmail.com (Chip Alexandru)</author>
      <link>https://implemented.simplecast.com/episodes/knime-hg_5ABYn</link>
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        <![CDATA[<p>Rosaria Silipo, Principal Data Scientist at Knime, discusses the recent history of the practice of machine learning, starting with some of the the early 90's  applications to the most promising use cases of today and tomorrow. We also cover innovation with machine learning, automated machine learning and its limitations and challenges with deploying machine learning models.</p><p>Rosaria kindly offered a free download code of her book <a href="https://www.knime.com/knimepress/practicing-data-science">https://www.knime.com/knimepress/practicing-data-science</a>.</p><p>Comment on Twitter for the code <a href="https://twitter.com/ChipAlexandru">https://twitter.com/ChipAlexandru</a></p><p> </p><p>Links related to some of the more technical topics in the podcast</p><p>Crisp-DM cycle <a href="https://en.wikipedia.org/wiki/Cross-industry_standard_process_for_data_mining">https://en.wikipedia.org/wiki/Cross-industry_standard_process_for_data_mining</a></p><p>Long Short-term memory applied to Natural Language Processing <a href="https://en.wikipedia.org/wiki/Long_short-term_memory">https://en.wikipedia.org/wiki/Long_short-term_memory</a></p>
]]>
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      <itunes:title>A short history of machine learning applications in business; creativity, automation and deployment at scale</itunes:title>
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        <![CDATA[<p>Simon Moss, CEO of Symphony AyasdiAI, shares his view of the opportunities in AI for the Enterprise. We discuss Ayasdi's unique approach to unsupervised learning (Topological Data Analysis), its applications in Financial Services such effectively fighting financial crime, improving capital return and liquidity, and reducing risk. We end with Simon's view on implications of AI deployment on organizations.</p><p>Links to interesting topics referred to in the podcast:</p><p>JP Morgan COIN project <a href="https://www.bloomberg.com/news/articles/2017-02-28/jpmorgan-marshals-an-army-of-developers-to-automate-high-finance">https://www.bloomberg.com/news/articles/2017-02-28/jpmorgan-marshals-an-army-of-developers-to-automate-high-finance</a></p><p>Ayasdi's diabetes <a href="https://www.ayasdi.com/blog/healthcare/identification-of-type-2-diabetes-subgroups-through-topological-data-analysis-of-patient-similarity/">https://www.ayasdi.com/blog/healthcare/identification-of-type-2-diabetes-subgroups-through-topological-data-analysis-of-patient-similarity/</a></p>
]]>
      </description>
      <pubDate>Mon, 1 Jun 2020 05:44:31 +0000</pubDate>
      <author>chip.alexandru@gmail.com (Chip Alexandru)</author>
      <link>https://implemented.simplecast.com/episodes/ayasdi-WlMXqhxr</link>
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        <![CDATA[<p>Simon Moss, CEO of Symphony AyasdiAI, shares his view of the opportunities in AI for the Enterprise. We discuss Ayasdi's unique approach to unsupervised learning (Topological Data Analysis), its applications in Financial Services such effectively fighting financial crime, improving capital return and liquidity, and reducing risk. We end with Simon's view on implications of AI deployment on organizations.</p><p>Links to interesting topics referred to in the podcast:</p><p>JP Morgan COIN project <a href="https://www.bloomberg.com/news/articles/2017-02-28/jpmorgan-marshals-an-army-of-developers-to-automate-high-finance">https://www.bloomberg.com/news/articles/2017-02-28/jpmorgan-marshals-an-army-of-developers-to-automate-high-finance</a></p><p>Ayasdi's diabetes <a href="https://www.ayasdi.com/blog/healthcare/identification-of-type-2-diabetes-subgroups-through-topological-data-analysis-of-patient-similarity/">https://www.ayasdi.com/blog/healthcare/identification-of-type-2-diabetes-subgroups-through-topological-data-analysis-of-patient-similarity/</a></p>
]]>
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      <itunes:title>Unsupervised learning at scale to fight financial crime, improve capital returns and liquidity in Financial Services</itunes:title>
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      <pubDate>Thu, 28 May 2020 06:12:39 +0000</pubDate>
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      <pubDate>Tue, 26 May 2020 05:45:23 +0000</pubDate>
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      <pubDate>Tue, 19 May 2020 06:20:22 +0000</pubDate>
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      <pubDate>Fri, 15 May 2020 04:40:31 +0000</pubDate>
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      <pubDate>Thu, 14 May 2020 06:05:08 +0000</pubDate>
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      <pubDate>Wed, 13 May 2020 05:10:34 +0000</pubDate>
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      <pubDate>Tue, 12 May 2020 04:49:45 +0000</pubDate>
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