WEBINAR: Catalyzing Innovation with SAS Viya on Microsoft Azure - 28 September 2021

 

Sponsored News from Data Science Central

Webinar: Catalyzing Banking Innovation with SAS Viya on Microsoft Azure What: A free online webinar exclusively for IT Pros When: Tuesday, September 28th, 9 AM PST / 12 PM EST Where: From the convenience of your personal computer  Register Now Register to attend a lively discussion with two leaders from the banking track of the most recent SAS Global Hackathon in this latest Data Science Central webinar. James Swinnerton, Principal Solutions Architect at SAS, is joined by SAS Advisory Industry Consultant Alex Kwiatkowski to examine the innovative approaches to problem solving taken by the banking teams. They will discuss solutions such as a machine learning-driven loan application process, models to explore sustainability performance, to predict / prevent fraud, and more. They will delve into the enabling role of the SAS Viya on Azure environments that they hacked in and how those advantages might transfer more broadly to the rich opportunities made possible by digital transformation. Tune in as they explore how cloud-deployed analytics is opening up new horizons for data scientists to address broad industry challenges, such as risk modeling, anti-money laundering, stress testing and various forms of fraud detection and prevention.

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

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

WEBINAR: Build – and Choose – Better Models Faster: Data Scientists in a Box - 25 February 2021

 

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Join us Feb. 25 How do you know which modeling methods will work best on your data? With so many predictive modeling methods and ways to compare and combine models, how can you easily identify the best models? Join us for a free live webinar Feb. 25, where we will explore case studies on coffee ratings, polymer manufacturing and biomarker identification, showing you how to easily build, assess and select the best-performing model. Kemal Oflus will demonstrate how to utilize machine learning methods without having to write code. Who should attend? Scientists, engineers and data explorers who want to take greater advantage of machine learning methods. Register now

WEBINAR: Condition-based Monitoring Analytics Techniques In Action 30 September 2020

 

Data Science Central Webinar Series Event

Condition-based Monitoring Analytics Techniques In Action Join us for this latest DSC Webinar on September 30th, 2020 When it comes to running a successful business, every organization strives to find the most efficient strategy possible. With that being said, it’s important that businesses pick a technique that is reliable and effective as well, especially when dealing with high valued assets. Condition-Based Monitoring (CBM) can provide timely intervention which can significantly increase the lifetime and operational efficiency of high valued assets. It can be the first step to get meaningful analytics on vast amounts of data generated across supply chains and support AI based models to derive value from the data and add analytical maturity. In this latest Data Science Central webinar, Priya Sharma and Paul Venditti will discuss real-world applications of analytical techniques to support condition-based monitoring use cases. Participants will: Understand the importance of operational efficiency Gain access to the latest SAS Event Stream Processing trial, including data sets and pre-loaded projects Learn about real-world applications of analytics techniques to support Condition-based Monitoring use cases Speakers: Priya Sharma, Sr. Data Scientist - SAS Institute Paul Venditti, IoT Principal Industry Consultant - SAS Institute Hosted by: Rafael Knuth, Contributing Editor -- Data Science Central   Title:  Condition-based Monitoring Analytics Techniques In Action Date:  Wednesday, September 30th, 2020 Time:  9:00 AM - 10:00 AM PDT   Space is limited so please register early: Reserve your Webinar seat now

WEBINAR: Dynamic visuals: The evolution of understanding data - 22 February 2018

Feb. 22, 2018 | 1 PM ET/10 AM PT
Hosted by Information Management

True self-service for business analysts requires next-generation data visualizations and built-in analytics features combined with a refined and easier user experience for more productivity and less tedium.

Join this session for an overview of SAS® Visual Analytics:

• Integrated Location Intelligence to bring out the geographic and demographic context
• Add open visualization objects - D3 graphs, Google Charts or C3 visualizations – to your reports or visuals for more flexibility
• New visualizations like Parallel coordinates plots, path analysis, etc. to explain important relationships in your data
• Attractive infographic-style reports that highlight compelling numeric and categorical values
• Automatic filters and linked selection, enhanced actions and calculations, etc. to improve interactivity

Tapan Patel Principal Product Marketing Manager, Business Intelligence and Analytics SAS (Presenter)	Varsha Chawla Senior Solutions Architect, Business Visualization Practice SAS (Presenter)	Jim Ericson Consultant, Editor Emeritus Information Management (Moderator)

Sponsor Content From:

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WEBINAR: 7 GDPR “Gotchas” and how to avoid them - 28 November 2017

Web Seminar  7 GDPR “Gotchas” – and how to avoid them

Nov. 28, 2017 | 2 PM ET/11 AM PT
Hosted by Information Management

As GDPR deadlines loom, most data managers are already working to ensure compliance. But 

the first wave of GDPR compliance efforts reveal some serious potential GDPR “gotchas.” 

And many of these “gotchas” are the result of basic misconceptions about what compliance really requires.

Protect yourself and your organization by attending this interactive expert-led webinar. You’ll learn:

• How European business partners can expose you to unanticipated risk
• What the “data portability” requirements of GDPR really require
• Why you need to select and empower an EU representative ASAP

William Beckler GDPR Compliance Lead ALICE (Speaker)	Lenny Leibmann Contributing Editor SourceMedia (Moderator)

Sponsored By:


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WEBINAR: Advanced Tool for Dynamic Visual Analytics - 30 November 3027

Overview

Title: Advanced Tool for Dynamic Visual Analytics

Date: Thursday, November 30, 2017

Time: 09:00 AM Pacific Standard Time

Duration: 1 hour

Summary

Advanced Tool for Dynamic Visual Analytics

As you journey through the age of self-service analytics it’s important to understand and explore your data in impactful new ways. There are critical drivers for making better decisions – can you see them? Why did something happen? Have you examined all options and uncovered opportunities hidden deep in your data? 

Join us for this Data Science Central webinar to see the new version of SAS® Visual Analytics. It introduces new data visualizations – including third party custom ones, a refined user experience to improve productivity, self-service data preparation, and the power of location analytics to visualize data in new contexts. These enhancements will help you automatically highlight and understand key relationships, outliers, clusters and more in your data, revealing vital insights that inspire action.  

Speakers:

Tapan Patel, Principal Product Marketing Manager, Business Intelligence and Analytics -- SAS
Steve Mellgren, Senior Solutions Architect, Business Visualization Practice -- SAS

Hosted by: 

Bill Vorhies, Editorial Director -- Data Science Central

Register here

What Intelligent Machines Can Do, And What They Can't by @jessicadavis via @InformationWeek

From Alpha Go to cancer detection to data centre efficiency, we talk to analytics practitioner and SAS CTO Oliver Schabenberger about what AI can do and what it can't do.

Good to read something that talks about limitations and not all of the time promising things.

WEBINAR: Advancing your business intelligence with location analytics - 1 June 2017

Web Seminar  Advancing your business intelligence with location analytics

Jun. 01, 2017 | 2 PM ET/11 AM PT
Hosted by Information Management

Nearly 70 percent of business data contains some level of location information. But business analysts rarely use this data within their BI and analytics workflows.

Location analytics is a powerful way to put this trapped information to use in visualisations and reports that identify patterns and opportunities to make better business decisions.

Esri and SAS will demonstrate the role that location analytics can play, including:

• The right uses for location analytics
• Skill sets and resources required to get the most from location data
• Best practices and strategies

Featured Presenters:

AJ Rice Global Alliance Manager Esri (Presenter)	Rick Styll Senior Manager, Visual Analytics Product Management SAS (Presenter)	Jim Ericson Consultant, Editor Emeritus Information Management (Moder

Sponsor Content From:



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WEBINAR: Get Modernized: 5 Steps to Better Analytics - 6 December 2016

Webinar Event Details

Date: Tuesday, December 6, 2016
Time: Noon ET/ 9:00 am PT
Duration: 60 minutes (including Q&A)

What You'll Learn While analytics is not new to business, the technology available today for supporting analytics is new. It has led to a dramatic increase in the speed and scale with which analytics can be performed and integrated with business processes. Missed opportunities to modernize your analytics technology can result in substantial time and resource costs, and can have a significant impact on the quality of your business decisions. In this webinar, Tom Davenport, renowned analytics author, along with analytics leaders from Deloitte, SAS, and Intel, share strategies and steps for modernizing analytics. You can learn how to: • Evaluate the analytics solutions that are available today • Avoid the risks faced by organizations that are a step behind their competitors due to outdated technology • Get started on the path to analytic modernization by following five critical steps Presenters Thomas Davenport,  Co-Founder, International Institute for Analytics Tom Davenport is the President’s Distinguished Professor of Information Technology and Management at Babson College, the co-founder of the International Institute for Analytics, a Fellow of the MIT Initiative on the Digital Economy. and a Senior Advisor to Deloitte Analytics. He teaches analytics and big data in executive programs at Babson, Harvard Business School, MIT Sloan School, and Boston University. He pioneered the concept of “competing on analytics” with his best-selling 2006 Harvard Business Review article (and his 2007 book by the same name). Jordan Wiggins,  Principal, Deloitte Consulting LLP Jordan Wiggins is a leader in Deloitte’s Analytics and Information Management practice. He has more than 15 years of experience in the technology industry with a focus in analytics. Jordan drives strategic, analytics-based solutions that enable clients to utilize raw data more effectively to support the decision-making process. Scott Van Valkenburgh,  Sr Director Partner Relationships SAS With more than 800 partners in the portfolio, Scott Van Valkenburgh leads the organization that is responsible for SAS’ global partner relationships. His teams are responsible for SAS partner go-to-market strategies and execution. Scott is a thought leader in how companies can improve by modernizing their analytic infrastructure, processes and systems. Prior to joining SAS, Van Valkenburgh was the founder and managing partner of the Sequoia Architecture Group and served as a Principal for PricewaterhouseCoopers within the Management Consulting Services Information and Technology Practice. Pat Richards,  Industry Partner Solutions Manager Intel Pat leads Intel Big Data Service Enablement Organization in the South East, helping companies implement and realize true business value with Big Data solutions. Before joining Intel Pat was VP of Professional Services for Canada and US for NCR. He also served as CTO at SCIenergy providing leadership and management of the company's software-as-a-service (SaaS) product development team. Pat spent three years as Vice President, Technical Operations, at Fox Audience Network and before that, ten years at IBM in a number of progressive technology roles in the areas of grid computing, virtualization and Web 2.0.

Register here

A Complete Tutorial on SAS Macros For Faster Data Manipulation via @analyticsvidhya

A Complete Tutorial on SAS Macros For Faster Data Manipulation by Sunil Ray via +Analytics Vidhya - Get your coding faster with SAS Macros - an incredible way to automate the process & save time! A comprehensive tutorial to help you get better skilled & faster in SAS.

A great tutorial and well worth a bookmark.

SAS Analytics Juggernaut Keeps on Truckin’ via @infomgmt

SAS Analytics Juggernaut Keeps on Truckin’ by David Menninger via +Information Management  - SAS has been a dominant player in the analytics marketplace for years, celebrating its 40th anniversary this year and reporting US$3.16 billion in 2015 revenue.

Seems they are not a has been and are still going strong.

A Complete Tutorial on SAS Macros For Faster Data Manipulation via @AnalyticsVidhya

A Complete Tutorial on SAS Macros For Faster Data Manipulation by Sunil Ray on +Analytics Vidhya - Macros in SAS provide an incredible way to automate a process. Read his blog for how you can use them to make your life so much easier.

A great blog from Sunil and well worth reading.

Cloud-based Analytics Speeds Insurance Fraud Investigations

How Grange Insurance embraced cloud-based analytics to increase investigator efficiency and lower cost of ownership.

Two recent SAS news iems

Free SAS Software Arrives Via Amazon Cloud

To help close the analytics skills gap, SAS is offering a free version of its software via Amazon Web Services (AWS) for students, educators, researchers and anyone who wants to learn about SAS's offerings.

SAS Pushes Big Data, Analytics for Cybersecurity

SAS is connecting the dots between cybersecurity, big data and analytics at this week's SAS Global Forum Conference in Dallas.

From the field to the cloud, SAP champions big data as new MVP in sports

This article from +ZDNet looks at how big data is just as useful for fans as it is for customers.

A nice use for big data.

TDWI 7 Tips for Unified Master Data Management

TDWI has produced a Checklist containing 7 Tips for Unified Master Data Management here which is sponsored by SAS.

They perceive Unified Master Data Management (UDM) as coordinated Data Management across the whole organisation on both the technical and business level at the same time.

I completely agree with #5 - regularly apply data quality functions to reference and master data.  If reference or master data is not correct or of a good quality then any information linking to, or any report using it, runs the risk of being complete garbage.

Five models for Data Stewardship

In this White Paper on the Information Management website written by Jill Dyche & Analise Polsky for SAS they go through 5 different models for Data Stewardship.

I have experienced models 1,2 and 4 which all work in their own way.  Whilst I agree it IS a business function it has needed IT help often to provide the glue between those functions.