Big Data Statistical Visualisation: can everyone be a Data Scientist?
Utilising a real world example of consumption patterns of alcohol it is clearly shown how analytics and modelling can be made available to the masses without a requirement to learn to code.
This democratisation of analytics and modelling allows far greater insight than a traditional Business Intelligence tool would deliver. Participants will leave the webinar with a clear idea of the skill sets a Data Scientist would require in this brave new world!
This democratisation of analytics and modelling allows far greater insight than a traditional Business Intelligence tool would deliver. Participants will leave the webinar with a clear idea of the skill sets a Data Scientist would require in this brave new world!
Recorded
Feb 11 2016
34 mins
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Presented by
Steve Ludlow, Principal Technology Specialist
Steve Ludlow, Principal Technology Specialist
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AI and the Changing Face of Financial Crimes: Beyond the Marketing Hype Recorded: May 16 2018 36 mins
Michael Ames, SASArtificial Intelligence and Machine Learning are the latest buzzwords in the technology bingo game and with so many vendors touting machine learning’s and AI’s prophetic revolution, it’s tough to filter out the wheat from the chaff.
In this session we’ll do just that as we discuss practical approaches to effectively leveraging AI and machine learning (ML) to combat fraud, waste and abuse.
We’ll also provide some food for thought around best practices, what to expect and how to get started with AI and Machine Learning.
Michael Ames, Sr. Director Fraud, Compliance and Investigation Solutions, SAS
Mike Ames is an Adjunct Faculty Member in the School of Business at Wake Forest University and currently leads the Applied Data Science and Emerging Technology groups for SAS’ Fraud and Security Intelligence Division. Ames has extensive consulting experience working with a diverse range of customers to develop a variety of analytic and enterprise applications. His current area of focus includes the use of artificial intelligence, robotic process automation and machine learning to combat fraud, waste and abuse. Since joining SAS in 2002, he has brought over a dozen products and solutions to market. He received his undergraduate degree in economics from the University of Georgia and his MBA from the University of North Carolina at Chapel Hill. -
An Introduction to Deep Learning Recorded: May 15 2018 64 mins
Mustafa Kabul, Principal Data Scientist, SASIn this webinar, Mustafa Kabul, Principal Data Scientist, SAS, will provide an introduction to deep learning and its applications.
Mustafa is a data scientist in the Artificial Intelligence and Machine Learning R&D at SAS, where he leads innovative projects for SAS’s next-generation AI-enabled analytics products, including applications of deep learning. His current focus is on applying deep reinforcement learning to operational problems in the CRM and IoT spaces. An operations research expert working at the interface of machine learning and optimization, previously, he developed distributed, large-scale integer optimization algorithms for marketing optimization problems. Ever the optimization enthusiast, Mustafa always looks into ways to improve the algorithms. Nowadays his favorites are the distributed stochastic gradient and online learning methods. Mustafa holds a PhD from the University of North Carolina at Chapel Hill, where his research focused on game theory models of supply chains selling to strategic customers. -
Getting Started with SAS Certification Recorded: Apr 10 2018 52 mins
Becky Gray (SAS), Terry Barham (SAS), Matt Scicchitano (SAS), Mark Stevens (SAS)SAS Global Certification experts present an introduction to SAS certification topics to help you reach your SAS Certification goals. After watching, learn more at: sas.com/certify -
Cisco and SAS: Working Together to Answer Your IoT Ecosystem Questions OnDemand Recorded: Mar 9 2018 36 mins
Saurabh Mishra, SAS and Han Yang, CiscoIn this first part of our two-part webinar series, we aim to cover some of the challenges and opportunities when investing in IoT as well, highlight some of the solutions that can be leveraged to obtain desired outcomes, showcase the benefits of the Cisco – SAS validated design program and demonstrate how Cisco and SAS work together in the IoT Ecosystem. -
Marketing, Merchandising and Inventory: Compete with Retail Analytics Recorded: Mar 9 2018 36 mins
Dan Mitchell, SAS and Christopher Houck, Core CompeteMarketing, merchandising and supply chain are the pillars of the retail business. Aligning these processes may sound easy, but it can be much more complicated than it seems. Connecting omnichannel data and analytics is the key to success in the competitive world of retail. -
Prescription Painkillers: The Latest (and Greatest) Threat to Child Welfare Recorded: Jan 24 2018 57 mins
Shaun Barry and Will Jones, SASThe abuse of prescription drugs continues to rise across the United States, and the impact on child welfare is great for both children and those parents who abuse. Recent national data shows parental alcohol or drug abuse was the reason for removal of almost 31% of children placed in out-of-home care in 2012 and has continued to rise. SAS will share how prescription drug monitoring programs can be used to change the way systems address the problem and provide for better informed decision making and innovative solutions. -
Artificial Intelligence in Financial Crimes Recorded: Jan 18 2018 60 mins
David Stewart, SAS; Carl Suplee, SAS; Kerem Muezzinoglu, SASFinancial institutions are turning to artificial intelligence (AI) to automate manual processes, emulate human decisions, and improve the accuracy of surveillance strategies. Given the sophistication of fraud attacks and ever increasing regulatory scrutiny, firms are implementing advanced analytical approaches to be more agile, effective, and efficient. -
Investigation Analytics and Intelligent Case Management Recorded: Jan 8 2018 36 mins
Steve Bennett, Steve Bennett, Lawrie Elder, Kay Meyer, Erin RegenThe role of law enforcement and intelligence agencies is to ultimately keep our communities and citizens safe. Agencies and departments around the world have more information available to them than ever before. But making sense of it to enable investigations and enforcement can be extremely difficult. Officers and investigators have the difficult task of trying to synthesize massive amounts of information into a coherent story about criminal actors, gangs or even potential terrorism networks.
Join this webinar to hear experts across a range of fields in security analysis and investigations discuss how analytics can help. -
Using Analytics to Drive Payment Integrity and Reduce Fraud Recorded: Jan 5 2018 56 mins
Ricky Sluder, CFE, Principal Solution Architect, SASToday’s government and commercial health care market is in a constant state of change. Both government agencies and private insurers need to bring value through more effective claims, clinical targeting and revenue optimization. And payers are looking for single-source system that delivers an innovative, broad spectrum of services to fill gaps in their existing processes and improve outcomes.
During this session we’ll look at a payment integrity approach that delivers results. We’ll also share case studies to show how you can use analytics to create measurable financial impact for both government and commercial payers and providers.
We’ll review four key disciplines, including:
Data management
Claims analytics
Behavioral analytics
Clinical targeting -
Analytics at the Edge: Bringing Intelligence to the IoT Recorded: Jan 4 2018 26 mins
Randy Guard, Executive Vice President and CMO, SASWhen analytics is added to the picture, the Internet of Things has the power to radically change our world, because data-driven insights are the real source of value in the analytics economy. This session explains the nature of this economy and discusses why the IoT might also be properly defined as the Intelligence of Things. Garret Fitzgerald of GE Transportation will join Randy Guard to provide a real-world example of how edge analytics adds more intelligence to the IoT. Fitzgerald will share how his company is using the power of IoT analytics to completely reshape its business. With implications and applications for multiple industries, the solution is relevant to anyone who seeks to capitalize on the promise of an intelligent, connected world. -
Honeywell Aerospace Implements IIoT & Advanced Analytics to Enable Improvements Recorded: Jan 4 2018 44 mins
Justin Dye, Director of Analytics, HoneywellIncremental improvements in supply chain operations are no longer enough in the competitive aerospace marketplace. Advanced analytics are key to enabling step-level changes, but developing and implementing those analytics requires an organization that can develop, implement, interpret and act on the same. This session will explore the challenges involved and how to address them. Discussion points include understanding what drives the need for analytics, what gets in the way and critical success factors. We'll also examine case studies on what can happen with 13 weeks, a motivated team and a value proposition. -
Driving Improved Outcomes: the Continuous Analytical Journey at Cleveland Clinic Recorded: Jan 4 2018 37 mins
Chris Donovan, Executive Director, Enterprise Information Management & Analytics, Cleveland ClinicCleveland Clinic is a nonprofit academic medical center that integrates clinical and hospital care with research and education. With this mandate, analytics has been at the core of much of what Cleveland Clinic delivers. While the use of analytics has always been important, it has continued to evolve over time. Today, we focus on enabling as many people as possible to harness insights from data that ultimately drive front-line interventions and improved outcomes. In support of this effort, Cleveland Clinic initiated a comprehensive, enterprise program to accelerate the transformation into an analytically mature organization. The program is built on the four pillars of data, people, process and technology. It's intended to empower Cleveland Clinic caregivers across the enterprise, from data scientists to entry level analysts. Join Chris Donovan as he describes the analytics journey at Cleveland Clinic and how it is continuing to refine and refocus as data and analytic technology continue to expand and push new limits. -
Application of Event Stream Processing: Data Mining the 2017 Boston Marathon Recorded: Jan 3 2018 26 mins
Michael Onwi and Devin Pearson, Kennesaw State UniversityThe ability to analyze high-velocity data in motion is increasingly of interest to organizations and civic leaders, enabling access to real time information for decision makers through event stream processing. This is imperative not only in sensor driven industries like health care and manufacturing, but also for large scale public events with issues related to public safety, transportation and overall experience for tourists and residents. The Center for Statistics and Analytical Research at Kennesaw State University used SAS® Event Stream Processing to analyze tweets from the 2017 Boston Marathon and determine topics, patterns and trends to provide insight for future large scale events. Attributes of interest from each tweet such as contents, timestamps and locations were identified and captured. The output was then filtered by US time zones. Two counter windows, global and EST (where the Marathon was held), were used to count the number of incoming tweets in a 10 second sliding window. The information was then displayed on a dashboard. The results were analyzed over the timeline of the marathon to correlate Twitter activity to the event itself. In addition, key topics were analyzed to determine propensity for co-presence, such as pain+Advil. -
SAS Academy for Data Science Recorded: Jan 3 2018 38 mins
Catherine Truxillo, Director of Analytical Education, SASCatherine Truxillo, Director of Analytical Education at SAS, provides an overview of the academy including the content, certifications, free trial and self-paced eLearning version with a Q&A session at the end of the webinar. Watch this webinar and discover how to grow your own data science skills or how to transform your workforce. -
Analytics and Innovation in Health Care Recorded: Dec 22 2017 30 mins
David Kiron, MIT Sloan Management Review and Mark Pitts, SASThis webinar highlights the key take-aways for the health care industry of a major multi-year global research study sponsored by SAS, which is conducted by MIT Sloan Management Review.
This most recent study uncovers key factors of business-driven innovation, including cultural and process factors, the pivotal role of data governance, and burgeoning opportunities with machine learning and artificial intelligence. -
The Role of Analytics in Public Sector Innovation Recorded: Dec 19 2017 29 mins
David Kiron, MIT Sloan Management Review and Steve Bennett, SASThis webinar highlights the key take-aways for public sector entities of a comprehensive multi-year global research study sponsored by SAS, which is conducted by MIT Sloan Management Review.
This most recent study uncovers key factors of business-driven innovation, including cultural and process factors, the pivotal role of data governance, and burgeoning opportunities with machine learning and artificial intelligence. -
Manufacturing Innovation Through Analytics Recorded: Dec 19 2017 19 mins
David Kiron, MIT Sloan Management Review and Marcia Walker, SASThis webinar highlights the key take-aways for the manufacturing industry of a comprehensive multi-year global research study sponsored by SAS, which is conducted by MIT Sloan Management Review.
The most recent study uncovers key factors of business-driven innovation, including cultural and process factors, the pivotal role of data governance, and burgeoning opportunities with machine learning and artificial intelligence. -
Analytics as a Source of Banking Innovation Recorded: Dec 19 2017 20 mins
David Kiron, MIT Sloan Management Review and David Wallace, SASThis webinar highlights the key take-aways for the banking industry of a major multi-year global research study sponsored by SAS, which is conducted by MIT Sloan Management Review.
This most recent study uncovers key factors of business-driven innovation, including cultural and process factors, the pivotal role of data governance, and burgeoning opportunities with machine learning and artificial intelligence. -
Using Analytics to Protect At-Risk Children Recorded: Dec 15 2017 64 mins
Beena Tharakan, Ernst & Young and Greg Henderson, SASOne of the paramount responsibilities of government is the protection of the welfare of youths and children. Study after study has demonstrated the correlation between contact and interaction with child protective services and later quality-of-life outcomes. And on too many occasions, at-risk youth become tragic statistics before they reach adulthood.
In the on-demand webinar Using Advanced Analytics to Protect At-Risk Children, hosted by Institute of Public Administration of Canada (IPAC) Chief Executive Officer Robert Taylor, experts from SAS Institute and Ernst & Young discuss the challenges facing child welfare professionals, how data from disparate sources can flag high-risk situations, and how an evidence-based approach, focused on outcomes for at-risk children, can be driven through the operation, from policy-makers to program managers to front-line workers and improve outcomes. -
Procurement Integrity: Fraud, Waste and Abuse Recorded: Dec 6 2017 19 mins
Jen Dunham, SAS Principal Solutions Architect and Yolande Byrd, Director, FACTS ConsultingProcurement fraud is prevalent. How can you thwart an attack? How can you prevent some of the most common themes like collusion and false claims?
Listen to our experts as they take a high-level approach to explaining the disruption to global businesses and how all industries are susceptible. You’ll learn about specific problems and how analytics provides answers.
The Power to Know ®
In today's organizations, you need to get relevant data quickly to drive faster business decisions. With big data, sometimes that's easier said than done.
SAS® Business Intelligence offers predictive insights with the ability to understand the past, monitor the present and predict outcomes, no matter the size or complexity of your data. In fact, SAS helps you deliver accurate, valuable information – from Hadoop or any other big data source.
Plus, SAS offers an integrated, flexible presentation layer for the full breadth of SAS Analytics capabilities: data and text mining, statistics, predictive analytics, forecasting and optimization.
One of the key components of SAS Business Intelligence, SAS Visual Analytics, offers self-service data discovery, enabling even nontechnical business users to explore billions of rows of data in seconds. With this tool, you can discover more opportunities and make more precise decisions, easily publishing reports to the Web and mobile devices.
SAS® Business Intelligence offers predictive insights with the ability to understand the past, monitor the present and predict outcomes, no matter the size or complexity of your data. In fact, SAS helps you deliver accurate, valuable information – from Hadoop or any other big data source.
Plus, SAS offers an integrated, flexible presentation layer for the full breadth of SAS Analytics capabilities: data and text mining, statistics, predictive analytics, forecasting and optimization.
One of the key components of SAS Business Intelligence, SAS Visual Analytics, offers self-service data discovery, enabling even nontechnical business users to explore billions of rows of data in seconds. With this tool, you can discover more opportunities and make more precise decisions, easily publishing reports to the Web and mobile devices.
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- Title: Big Data Statistical Visualisation: can everyone be a Data Scientist?
- Live at: Feb 11 2016 2:00 pm
- Presented by: Steve Ludlow, Principal Technology Specialist
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