All Videos Tagged Davis” (Data Science Central) - Data Science Central 2020-07-06T04:09:37Z https://www.datasciencecentral.com/video/video/listTagged?tag=Davis%E2%80%9D&rss=yes&xn_auth=no DSC Webinar Series: How Bank of America Uses Data Prep for Faster Reporting tag:www.datasciencecentral.com,2019-12-11:6448529:Video:913900 2019-12-11T00:11:20.871Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-how-bank-of-america-uses-data-prep-for-faster"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3764395366?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Knowledge workers typically a) get information b) perform logic on that information and c) finally reach a conclusion and can take action. The time to just clean and prepare data for analysis can cause significant bottlenecks and delay the ability to take any action. Automating these series of tasks, mechanizes repetitive and manual tasks.… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-how-bank-of-america-uses-data-prep-for-faster"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3764395366?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Knowledge workers typically a) get information b) perform logic on that information and c) finally reach a conclusion and can take action. The time to just clean and prepare data for analysis can cause significant bottlenecks and delay the ability to take any action. Automating these series of tasks, mechanizes repetitive and manual tasks. This frees up knowledge workers to focus on more value-added activities. A series of lessons will be shared with a case study from the banking trenches on how to leverage data wrangling to help automate these series of tasks on a use case within Risk Management and reduce a 10,000 hour regulatory process down to 10 hours.<br /> <br /> In this latest Data Science webinar you will learn:<br /> <br /> How manual and repetitive tasks are costing organizations trillions of dollars in non-productive work<br /> Understand how to drive adoption of new technologies within your organization<br /> How assembly line thinking has led to mistakes in the way we approach data pipelines<br /> <br /> Speakers:<br /> Salah Khawaja, Managing Director,<br /> Automation Global Risk - Bank of America<br /> Raj Anand, Sr. Vice President,<br /> Automation Global Risk - Bank of America<br /> Will Davis, Head of Marketing - Trifacta<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: 20 Predictions for 2020 from AI to Data Management tag:www.datasciencecentral.com,2019-12-05:6448529:Video:912757 2019-12-05T01:02:06.728Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-20-predictions-for-2020-from-ai-to-data"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3755511672?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>AI, machine learning, cloud, self-service, data governance, etc…there is no shortage of buzzwords in data today. Every organization is seeking to outpace their competition by leveraging data to drive differentiation for their business. To win this race, companies are building up data science teams, investing in faster/more scalable cloud data… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-20-predictions-for-2020-from-ai-to-data"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3755511672?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />AI, machine learning, cloud, self-service, data governance, etc…there is no shortage of buzzwords in data today. Every organization is seeking to outpace their competition by leveraging data to drive differentiation for their business. To win this race, companies are building up data science teams, investing in faster/more scalable cloud data platforms and utilizing the growing variety of publicly available datasets and algorithms. How do you stay ahead of what’s next and help drive the successful adoption of new technology and processes within your organization?<br /> <br /> This latest Data Science Central webinar will be interactive and will review where we think data management, analytics and ML/AI are headed next. The session will also focus on how to use the predictions and data we share in the session to drive modernization efforts at your company.<br /> <br /> In this webinar you can expect to learn:<br /> <br /> Will cloud-native services &amp; kubernetes fundamentally change our approach to data infrastructure &amp; application integration?<br /> Will the buzz around machine learning continue or will the first ML initiatives stumble out of the gates?<br /> How will the nature of self-service change with an increased focus on data governance &amp; security?<br /> <br /> Speakers:<br /> Will Davis, Head of Marketing - Trifacta<br /> Eric Kavanagh, CEO - The Bloor Group<br /> Evren Cakir, Senior Analyst - The Bloor Group<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: The State of Data Preparation in 2019 tag:www.datasciencecentral.com,2019-06-25:6448529:Video:846235 2019-06-25T21:30:56.229Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-the-state-of-data-preparation-in-2019-1"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3109900816?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Over the past few years, data preparation has emerged as a stand-alone category within data management and analytics. A technology category that originated out of joint research across UC Berkeley and Stanford, it is now recognized as a critical technology by end users, organizations and industry analysts alike. Data preparation has evolved… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-the-state-of-data-preparation-in-2019-1"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3109900816?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Over the past few years, data preparation has emerged as a stand-alone category within data management and analytics. A technology category that originated out of joint research across UC Berkeley and Stanford, it is now recognized as a critical technology by end users, organizations and industry analysts alike. Data preparation has evolved tremendously since the category first emerged in 2015. So what’s new? How far have we come? Where are we headed in the future?<br /> <br /> Join this latest Data Science Central webinar with Dresner Advisory Service’s Chief Research Officer, Howard Dresner, for an overview of the data preparation market. In the session, Howard reviews findings from his 2019 “Wisdom of the Crowds Market Study” on data preparation, compiled from end user responses.<br /> <br /> This webinar will cover the following topics:<br /> <br /> How data preparation is being utilized within organizations – what users &amp; departments utilize data prep?<br /> What are the most critical features of data preparation technologies?<br /> Differences between traditional ETL technologies and this new generation of data preparation tools.<br /> <br /> Speakers:<br /> Howard Dresner, Chief Research Officer Analyst - Dresner Advisory Services<br /> Will Davis, Senior Director of Product Marketing - Trifacta<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central DSC Webinar Series: The State of Data Preparation in 2018 tag:www.datasciencecentral.com,2018-04-06:6448529:Video:710341 2018-04-06T00:49:16.408Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-the-state-of-data-preparation-in-2018"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781532423?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Over the past few years, data preparation has emerged as a stand-alone category within data management and analytics. A technology category that originated out of joint research across UC Berkeley and Stanford, it is now recognized as a critical technology by end users, organizations and industry analysts alike. Data preparation has evolved… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-the-state-of-data-preparation-in-2018"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781532423?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Over the past few years, data preparation has emerged as a stand-alone category within data management and analytics. A technology category that originated out of joint research across UC Berkeley and Stanford, it is now recognized as a critical technology by end users, organizations and industry analysts alike. Data preparation has evolved tremendously since the category first emerged in 2015. So what’s new? How far have we come? Where are we headed in the future?<br /> <br /> Join Dresner Advisory Service’s Chief Research Officer, Howard Dresner, for an interactive webinar that will provide an overview of the data preparation market. In the session, Howard will review findings from his 2018 “Wisdom of the Crowds Market Study” on data preparation, compiled from end user responses.<br /> <br /> In this latest Data Science Central webinar, we will cover the following topics:<br /> <br /> How data preparation is being utilized within organizations - what users &amp; departments utilize data prep?<br /> What are the most critical features of data preparation technologies?<br /> Differences between traditional ETL technologies and this new generation of data preparation tools.<br /> Speakers:<br /> Howard Dresner, Chief Research Officer -- Dresner Advisory Services<br /> Will Davis, Director of Product Marketing -- Trifacta<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central