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X-ORIGINAL-URL:https://wydarzenia-tdsynnex.pl
X-WR-CALDESC:Wydarzenia dla Wydarzenia TD Synnex
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DTSTART;TZID=Europe/Warsaw:20211026T110000
DTEND;TZID=Europe/Warsaw:20211026T120000
DTSTAMP:20261109T090443
CREATED:20210924T121118Z
LAST-MODIFIED:20210924T121942Z
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SUMMARY:Being Data Driven
DESCRIPTION:Data-driven Transformation Webinar Series \nBeing Data Driven\nThis webinar is the final webinar of a series of 4 webinars in total to take you through the journey to develop a Data Driven solution strategy. \nFor partners that have an established Data & IoT practice and looking for support to accelerate the growth of your solution practice. In this webinar you will learn how to use AI data driven insights to detect\, predict and remediate operations.The data industry has changed tremendously over the last five years. The world is reshaping and how we all make use of data is changing with it. \nRegister \nThe data industry has changed tremendously over the last five years. The world is reshaping and how we all make use of data is changing with it.\nBusiness models and data usage are evolving at a rapid pace: by 2025\, the global datasphere is estimated to be over 180 zettabytes (1 zettabyte = 1 trillion gigabytes) of data (reference: IDC’s Worldwide Global DataSphere Forecast\, 2021–2025).\nAnd of those\, 73.1 zettabytes will be generated by IoT connected devices (reference: IDC Global Datasphere Report 2020)\, for example\, your car’s tyre pressure sensor or a security camera feed at your local pharmacy. \nTech Data can help you and your customers successfully manage their digital transformation journey \nTrillions of dollars’ worth of business value will be created by data\, so organisations across the world are investing heavily to capture this value. Hundreds of billions of dollars of revenue are out there for the taking across all areas of data and IoT\, and you – our partners – have an opportunity to capture this market. \nREGISTER
URL:https://wydarzenia-tdsynnex.pl/wydarzenie/being-data-driven/
LOCATION:Online
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DTSTART;TZID=Europe/Warsaw:20200514T160000
DTEND;TZID=Europe/Warsaw:20200515T020000
DTSTAMP:20261109T090444
CREATED:20200507T151611Z
LAST-MODIFIED:20200507T152441Z
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SUMMARY:DataOps.NEXT Virtual Conference
DESCRIPTION:10 HOURS. ONLINE. ONLY DataOps.\nSolve your complex data management issues with fresh and practical insights from this no cost virtual conference.  \nMost data practitioners Hitachi Vantara knows face multiple challenges working across complex data architectures that never seem to get simpler. That’s why Hitachi Vantara has developed the DataOps.NEXT virtual conference. \nLearn how to tackle some of the most difficult data management and analytics challenges today with real-life customer examples and expert insights. \nVirtual Conference Tracks\nFollow 30+ DataOps Experts \nThe DataOps.NEXT virtual conference features four relevant tracks: \n\nOptimize Data Fabric\nBuild and Manage Data Pipelines\nImprove Data Governance and Agility\nExpand Analytics and Machine Learning\n\nNo cost to join live or to watch replays for 90 days.\nAre you ready to have Hitachi Vantara guide you from what’s now to what’s next? \nREGISTRATION
URL:https://wydarzenia-tdsynnex.pl/wydarzenie/dataops-next/
LOCATION:Online
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DTSTART;TZID=Europe/Warsaw:20200205T100000
DTEND;TZID=Europe/Warsaw:20200206T160000
DTSTAMP:20261109T090444
CREATED:20200117T133033Z
LAST-MODIFIED:20200117T133138Z
UID:921-1580896800-1581004800@wydarzenia-tdsynnex.pl
SUMMARY:Practical Data Science with Watson
DESCRIPTION:This workshop will lead participants through a discovery of Watson Studio\, IBM’s Cloud Data Science and AI platform. Handson lab will contribute to acquiring practical skills\, by providing a first approach to the methodologies and tooling\, through examples and hands-on experience. Attendees will leave with an understanding and appreciation of the many facets of Data Science\, and how to begin understanding patterns and deriving insight from their data. \nGain an understanding and appreciation of the practicalities of Data Science using Watson Studio\, IBM’s data science and AI platform. Learn how to leverage data within Watson Studio and apply analytics and Machine Learning to solve data-intensive business problems. Understand Data Science methodology and end-to-end workflow including data exploration and preparation\, model building\, validation\, and deployment. Use Watson Studio on IBM Cloud to practice and experiment Data Science through hands-on labs. \nHighlights:\nIBM Watson Studio (formerly Data Science Experience)\nData Science fundamentals with Jupyter notebooks\, Pandas and Spark\nData Visualisation with dashboards\, PixieDust and Brunel\nWatson Studio Data and Model flow Tools\nSpark\, Watson Machine Learning \nAGENDA\nDAY 1 \n\nData Science fundamentals introduction and overview\n• Overview of IBM’s Analytics\, Data Science and AI offering and rationale. Introduction to Data Science elements and techniques\, notebooks. Team and Collaboration features. Overview of Watson Studio cloud offering’s capabilities\, compute and storage perspectives\n• Lab 1: Getting Started with Watson Studio on IBM Cloud\n• Start exploring data with various tools\, Data Refinery\, Jupyter notebooks with Pandas and Spark\nData Visualisation with Watson Studio • Introduction to Data Visualisation in Watson Studio\, Dashboards\, visualisation techniques overview\n• Data Refinery and visual exploration\, Watson Studio dashboards\n• Lab 2: Data Visualisation with Watson Studio\, Watson Studio Dashboards\nWatson Studio interactive flow tooling\, Data and Model flows Builders\n• Introduction to Watson Studio Data and Model flows\n• Lab 3: Prepare your data with Watson Studio Data pipeline and Modeler flow\nMachine Learning with Watson Studio\n• Introduction to Machine Learning\n• Overview of frameworks\, SparkML\, Scikit Learn\, SPSS\, Watson ML\n• Lab 4: Using Flow Modeler for time series prediction\n\nDAY 2 \n\nDeep Learning and Neural Networks Overview\n• Lab 1: Building a hand-written digits recognition Neural Network with WML GPU training\nAI fairness with Watson OpenScale\n• Lab 2: Detecting Bias with Watson OpenScale\nAdvanced AI topics: Continous Learning\, Neaural Synthesis\, Spark environments\n• Lab 3: NueNetS\, WML Continous Learning\, Spark\n\nPrerequisites: Basic understanding of Data handling\, basic programming ability. Hands-on labs will be performed on IBM Watson Studio hosted within the IBM Cloud. Participants should have an IBM Cloud account and will be running the User Interface on their own laptop. \n The workshop will be held in English. \n  \nREGISTRATION: kamila.lis@ibm.com. Please include: name\, surname\, company’s name e-mail adress
URL:https://wydarzenia-tdsynnex.pl/wydarzenie/practical-data-science-with-watson/
LOCATION:IBM\, ul. Krakowiaków 32\, Warszawa\, Mazowieckie\, Polska
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