All Videos Tagged Wrangling” (Data Science Central) - Data Science Central 2020-05-31T11:11:36Z https://www.datasciencecentral.com/video/video/listTagged?tag=Wrangling%E2%80%9D&rss=yes&xn_auth=no DSC Webinar Series: Weaponizing Data in the Fight Against White Collar Crimes tag:www.datasciencecentral.com,2020-01-21:6448529:Video:924729 2020-01-21T22:04:03.201Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-weaponizing-data-in-the-fight-against-white"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3830023345?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>In this webinar analyst and advisor Alasdair Anderson will discuss how escalating global white collar crime activity is driving adoption of advanced analytics at a pace never before seen in mature enterprises. Organizations are having to change the way they deal with data and change the types of data that they utilize. The old data… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-weaponizing-data-in-the-fight-against-white"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3830023345?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />In this webinar analyst and advisor Alasdair Anderson will discuss how escalating global white collar crime activity is driving adoption of advanced analytics at a pace never before seen in mature enterprises. Organizations are having to change the way they deal with data and change the types of data that they utilize. The old data management adage of "garbage in, garbage out" has been left behind as organizations realize that agile wrangling of all data is far more valuable that static historic curated data sets.<br /> <br /> In this latest Data Science Central webinar you will learn:<br /> <br /> How large organizations are using data to fight white collar crimes<br /> The crucial role cloud technology plays in advanced analytics<br /> Why data wrangling is a key functionality in dealing with "garbage" data<br /> <br /> Speakers:<br /> Alasdair Anderson, Independent Consultant<br /> Matt Derda, Customer Marketing Manager - Trifacta<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central 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: Why Cloud Data Management Requires Modern DataOps Featuring Forrester tag:www.datasciencecentral.com,2019-04-10:6448529:Video:816902 2019-04-10T21:14:25.765Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-why-cloud-data-management-requires-modern"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/1869451575?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Over the past few years, the evolution of technology for storing, processing and analyzing data has been absolutely staggering. The advent of cloud platforms from AWS, Microsoft Azure and Google Cloud gives every business the ability to swipe a credit card and have access to virtually any computing service...to handle just about any data… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-why-cloud-data-management-requires-modern"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/1869451575?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Over the past few years, the evolution of technology for storing, processing and analyzing data has been absolutely staggering. The advent of cloud platforms from AWS, Microsoft Azure and Google Cloud gives every business the ability to swipe a credit card and have access to virtually any computing service...to handle just about any data initiative. Yet, why are so many organizations still struggling to drive meaningful ROI from their data investments? The answer starts with DataOps.<br /> <br /> Join this latest Data Science Central webinar to learn:<br /> • How the emergence of new trends such as cloud, machine learning and AI have impacted the data management landscape<br /> • What is DataOps and key considerations in implementing or transitioning data management to the cloud<br /> • How to maximize cloud investments and adoption with new approaches to data preparation and data quality<br /> <br /> Featured Speakers:<br /> Noel Yuhanna, Principal Analyst - Forrester<br /> Will Davis, Director of Product Marketing - Trifacta<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central