WEBINAR: Gain Insights from SAP Data with Qlik and Microsoft - 8 November 2021

 

Sponsored News from Data Science Central   Webinar: Gain Insights from SAP Data with Qlik and Microsoft Enterprises are inundated with massive amounts of SAP data and challenged to create more consumable insights without increasing headcount or system resources. It is a daunting task to deal with slow systems and manual coding to gain any value from historical data spanning thousands of products, customers, sales history, and the list goes on. In this webinar, you’ll hear how global manufacturer Greene Tweed developed an efficient, cost-effective, and logical strategy to connect Qlik Data integration and Microsoft Azure Synapse to build an intelligent supply chain for better business insight. Learn how Greene Tweed addressed their challenges and how they use data liberated from SAP for strategic analytics initiatives. In addition, you will discover: How to create a plan of attack to extract insights from massive amounts of SAP data How important change data capture is to building low latency extracts for massive data volumes Why automation with Qlik Data Integration is crucial to expedite data availability How SAP data drives insights to optimize Manufacturing & Supply Chain The gains Greene Tweed realized by moving SAP data to Azure Synapse Register Today Speakers: Matt Hayes, VP of SAP Business, Qlik David Hufnagle, Manager, Enterprise Data and Analytics, Greene Tweed Greg Vigil, Industry Solution Director – Manufacturing, Microsoft Hope to see you there, Sean Welch Data Science Central

WEBINAR: The Data Engineering Cloud: Visualize the Transform with Trifacta - 22 June 2021

 

Data Science Central <mail@newsletter.datasciencecentral.com> Unsubscribe	26 May 2021, 21:37 (3 days ago)
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Data Science Central Webinar Series Event The Data Engineering Cloud: Visualize the Transform with Trifacta Join us for this latest DSC Webinar on June 22nd, 2021 Over the past two decades, we have watched as data has become increasingly strategic to nearly every organization. During that time we have lived through the evolution from Big Data (new challenges) to Data Science (new projects) to Data Engineering (new practices). The next step is now in sight: an open and inclusive Data Engineering Cloud that brings together a diversity of stakeholders to transform businesses. In this latest Data Science Central webinar, join Trifacta co-founders and noted technologists Jeffrey Heer and Joe Hellerstein as they talk about what an inclusive Data Engineering Cloud looks like, and how a decade of innovation in computer science—from AI to interactive visualization to program synthesis to data ops—enables a truly inclusive and transformational Data Engineering Cloud. Speakers:   Joe Hellerstein, Co-Founder & CSO - Trifacta   Jeff Heer, Co-Founder & CXO - Trifacta   Hosted by:   Sean Welch, Host and Producer- Data Science Central   Title:  The Data Engineering Cloud: Visualize the Transform with Trifacta Date:  Tuesday, June 22nd, 2021 Time:  9:00 AM - 10:00 AM PST   Space is limited so please register early: Reserve your seat now

WEBINAR: Solving Problems with Commercial & Open Source - 25 March 2021

 

Data Science Central Webinar Series Event

Solving Problems with Commercial & Open Source Join us for this latest DSC Webinar on March 25th, 2021 By combining CDC datasets with academic and industry research, IndiOmics has created multi-omics methods for modeling the impacts of chemical exposure on cellular behavior and health. The IndiOnomics data science approach combines open-source tools and secure SAS environments to analyze variables in chemistry, microscopy, and biomarker detection, resulting in visualizations of both individual and population-level outcomes. In this webinar, Melissa Strong, PhD, discusses how IndiOnomics leverages data science to generate awareness about environmental exposures and preventative measures. Speakers:   Melissa Strong, PhD, Founder & Lead Data Scientist - IndiOmics Hosted by:   Rafael Knuth, Contributing Editor - Data Science Central   Title:  Solving Problems with Commercial & Open Source Date:  Thursday, March 25th, 2021 Time:  9:00 AM - 10:00 AM PST   Space is limited so please register early: Reserve your Webinar seat now

Guide to Interpretable Machine Learning by @MatthewPStewart via @TDataScience

Techniques to dispel the black box myth of deep learning.

This is great and very detailed so put aside some time to read it as well as giving applause on the article.

Forget The Black Hole Picture- Check Out The Sweet Technology That Made It Possible by Maggie Koerth-Baker via @FiveThirtyEight

Forget the black hole picture. Check out the sweet technology that made it possible.
Astronomy isn’t the only field that deals with converting sparse data into images. From medicine to helping self-driving cars avoid potholes, the algorithms EHT researchers developed could have some pretty interesting applications.

This TEDxBeaconStreet presentation was also really interesting to listen to.

I agree with the linked article - there are many potential uses for the Algorithms the team developed.