Welcome!

@DXWorldExpo Authors: Yeshim Deniz, Pat Romanski, Liz McMillan, Zakia Bouachraoui, Carmen Gonzalez

Blog Feed Post

NIST To Hold Data Science Symposium 4-5 March 2014

By Bob Gourley

The National Institute of Standards and Technology (NIST) Information Technology Laboratory is holding a Data Science Symposium we believe will be of high interest to the enterprise CTO community. Symposium topics include the technology landscape of data science, ways to improve analytics, and better ways to approach and manage datasets.

This looks to be a great event to attend if you are interested in helping the community advance.

NIST has issued a call for papers. Please submit your topics in accordance with the below (From: http://ctolink.us/1cPxXGw):

Data Science Symposium 2014

Summary:

Given the explosion of data production, storage capabilities, communications technologies, computational power, and supporting infrastructure, data science is now recognized as a highly-critical growth area with impact across many sectors including science, government, finance, health care, manufacturing, advertising, retail, and others. Since data science technologies are being leveraged to drive crucial decision making, it is of paramount importance to be able to measure the performance of these technologies and to correctly interpret their output. The NIST Information Technology Laboratory is forming a cross-cutting data science program focused on driving advancements in data science through system benchmarking and rigorous measurement science

Description:

The inaugural NIST Data Science Symposium will convene a diverse multi-disciplinary community of stakeholders to promote the design, development, and adoption of novel measurement science in order to foster advances in Big Data processing, analytics, visualization, interaction, and lifecycle management. It is set apart from related symposia by our emphasis on advancing data science technologies through:

  • Benchmarking  of complex data-intensive analytic systems and subcomponents
  • Developing general, extensible performance metrics and measurement methods
  • Creating reference datasets & challenge problems grounded in rigorous measurement science
  • Coordination of open, community-driven evaluations that focus on domains of general interest.

Location: The first symposium, originally scheduled for November, will be held March 4-5, 2014 on the NIST campus in Gaithersburg, MD. Organizing Committee: Ashit Talukder (NIST), John Garofolo (NIST), Mark Przybocki (NIST), Craig Greenberg (NIST) Registration: Registration to attend the NIST Data Science Symposium is now open. Registration is free, but it is necessary to register in order to attend. The deadline for registration will be on or before Friday, February 21st. Registration may close once the capacity of the venue is reached. Please note that only registered participants will be permitted to enter the NIST campus to attend the symposium. To register, please go to: https://www-s.nist.gov/CRS/conf_disclosure.cfm?conf_id=6631 Call For Abstracts: Participants who wish to give presentations of their technical perspectives or present posters (potentially with technical demonstrations) that address symposium topics should submit a brief one-page abstract and brief one-paragraph bio to [email protected] by February 21st, 2014 (those abstracts received after January 10th, 2014 will only be considered for poster presentations). Those who submit abstracts by January 10th will be notified whether their perspectives have been selected for plenary or poster presentation by January 31st. Those submitting abstracts after January 10th and prior to February 21st will be notified whether their perspectives have been selected for a poster presentation on a rolling basis sometime between February 1st and March 1st. Speakers, panelists, and poster presenters will be selected by the organizers based on relevance to symposium objectives and workshop balance. Due to the technical nature of the symposium, no marketing will be permitted. Symposium Topics: Understanding the Data Science Technical Landscape:

  • Primary challenges in and technical approaches to complex workflow components of Big Data systems, including ETL, lifecycle management, analytics, visualization & human-system interaction.
  • Major forms of analytics employed in data science.

Improving Analytic System Performance via Measurement Science

  • Generation of ground truth for large datasets and performance measurement with limited or no ground truth.
  • Methods to measure the performance of data analytic workflows where there are multiple subcomponents, decision points, and human interactions.
  • Methods to measure the flow of uncertainty across complex data analytic systems.
  • Approaches to formally characterizing end-to-end analytic workflows.

Datasets to Enable Rigorous Data Science Research

  • Useful properties for data science reference datasets.
  • Leveraging simulated data in data science research.
  • Efficient approaches to sharing research data.

Travel & Hotel Information: The main NIST campus is located in Gaithersburg, MD approximately 20 miles outside of Washington, DC. Useful travel information, including transportation to NIST as well nearby hotels and restaurants, can be found here: http://www.nist.gov/public_affairs/visitor/index.cfm

Read the original blog entry...

More Stories By Bob Gourley

Bob Gourley writes on enterprise IT. He is a founder of Crucial Point and publisher of CTOvision.com

DXWorldEXPO Digital Transformation Stories
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
Digital Transformation is much more than a buzzword. The radical shift to digital mechanisms for almost every process is evident across all industries and verticals. This is often especially true in financial services, where the legacy environment is many times unable to keep up with the rapidly shifting demands of the consumer. The constant pressure to provide complete, omnichannel delivery of customer-facing solutions to meet both regulatory and customer demands is putting enormous pressure on...
The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addr...
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Charles Araujo is an industry analyst, internationally recognized authority on the Digital Enterprise and author of The Quantum Age of IT: Why Everything You Know About IT is About to Change. As Principal Analyst with Intellyx, he writes, speaks and advises organizations on how to navigate through this time of disruption. He is also the founder of The Institute for Digital Transformation and a sought after keynote speaker. He has been a regular contributor to both InformationWeek and CIO Insight...
Cloud is the motor for innovation and digital transformation. CIOs will run 25% of total application workloads in the cloud by the end of 2018, based on recent Morgan Stanley report. Having the right enterprise cloud strategy in place, often in a multi cloud environment, also helps companies become a more intelligent business. Companies that master this path have something in common: they create a culture of continuous innovation. In his presentation, Dilipkumar will outline the latest resear...
Everyone wants the rainbow - reduced IT costs, scalability, continuity, flexibility, manageability, and innovation. But in order to get to that collaboration rainbow, you need the cloud! In this presentation, we'll cover three areas: First - the rainbow of benefits from cloud collaboration. There are many different reasons why more and more companies and institutions are moving to the cloud. Benefits include: cost savings (reducing on-prem infrastructure, reducing data center foot print, redu...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
When building large, cloud-based applications that operate at a high scale, it’s important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. “Fly two mistakes high” is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Lee A...