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Big Data Management

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  • Big data and Machine Learning in Healthcare – Actual experience, actual results Big data and Machine Learning in Healthcare – Actual experience, actual results Lonny Northrup, Sr. Medical Informaticist – Office of Chief Data Officer, Intermountain Healthcare Recorded: Dec 7 2016 63 mins
    Hear first hand from one of the nation’s leading healthcare providers, Intermountain Healthcare, on what is actually being accomplished with big data and machine learning (cognitive computing, artificial intelligence, deep learning, etc.) by leading healthcare providers.

    Intermountain has evaluated between 300 and 400 big data and analytic solutions and actively collaborates with the other leading healthcare providers in the United States to implement the solutions that are delivering improved healthcare outcomes and cost reductions.
  • From the intelligence driven datacenter to an intelligence driven business From the intelligence driven datacenter to an intelligence driven business Matt Davies, Head of Marketing EMEA, Splunk, & Sebastian Darrington, EMEA Director, Big Data & Analytics Solutions, Dell EMC Recorded: Dec 7 2016 49 mins
    Leveraging Big Data and Analytics to create actionable insights.

    Splunk & Dell EMC will share insights into the challenges & opportunities customers are seeing in the market – with the ‘needs to’; reduce costs and improve efficiency within IT (operational analytics), improve Compliance (security analytics) & implement Shadow IT due to the business not receiving the right service from IT. CIO Priority is keeping the lights on and so on…

    Dell EMC & Splunk combined strengths are helping numerous organizations to ‘leverage Big Data and Analytics to create actionable insights’.
  • Analytics in the Cloud Analytics in the Cloud Natalino Busa, Head of Applied Data Science at Teradata Recorded: Dec 7 2016 45 mins
    Today, data is everywhere. As more data streams into cloud-based systems, the combination of data and computing resources gives us today the unprecedented opportunity to perform very sophisticated data analysis and to explore advanced machine learning methods such as deep learning.

    Clouds pack very large amount of computing and storage resources, which can be dynamically allocated to create powerful analytical environments. By accessing those analytics clusters of machines, data analysts and data scientists can quickly evaluate more hypotheses and scenarios in parallel and cost-effectively.

    The number of analytical tools which is supported on various clouds is increasing by the day. The list of analytical tools spans from traditional rdms databases as provided by vendors to analytics open sources projects such as Hadoop Hive, Spark, H2O. Next to provisioning tools and solutions on the cloud, managed services for Data Science, Big Data and Analytics are becoming a popular offering of many clouds.

    Analytics in the cloud provides whole new ways for data analysts, data scientists and business developer to interact with each other, share data and experiments and develop relevant insight towards improved business processes and results. In this talk, I will describe a number of data analytics solutions for the cloud and how they can be added to your current cloud and on-premise landscape.
  • The Big BI Dilemma - Bimodal Logical Data Warehouse to the Rescue! The Big BI Dilemma - Bimodal Logical Data Warehouse to the Rescue! Rick van der Lans, Independent Industry analyst, Lakshmi Randall, Head of Product Marketing for Denodo Recorded: Dec 6 2016 59 mins
    The classic unimodal data warehouse architecture has expired because it is restricted to primarily supporting structured data but not the newer data types such as social, streaming, and IoT data. New BI architecture, such as “logical data warehouse”, is required to augment the traditional and rigid unimodal data warehouse systems with a new bimodal data warehouse architecture to support requirements that are experimental, flexible, explorative, and self-service oriented.

    Learn from the Logical Data Warehousing expert, Rick van der Lans, about how you can implement an agile data strategy using a bimodal Logical Data Warehouse architecture.
    In this webinar, you will learn:

    · Why unimodal data warehouse architectures are not suitable for newer data types
    · Why an agile data strategy is necessary to support a bimodal architecture
    · The concept of Bimodal Logical Data Warehouse architecture and why it is the future
    · How Data Virtualization enables the Bimodal Logical Data Warehouse
    · Customer case study depicting successful implementation of this architecture
  • A World Full of Insights – Mapping & Geospatial Visualization with Your Data A World Full of Insights – Mapping & Geospatial Visualization with Your Data David Clement & Rick Blackwell, IBM Watson Recorded: Dec 6 2016 56 mins
    High performance and scalable data mapping offers unlimited opportunities for quickly categorizing and identifying key insights for retail, defense, insurance, utilities, natural resources, social sciences, medicine, public safety and more.

    Organizations, already awash in customer data, know geospatial capabilities can put a new “lens”on existing reports. Data from smartphones, GPS devices and social media has organizations anxious to factor in customer location, origin or destination, with time or day.

    Join IBM Product Marketing Manager David Clement and IBM Senior Product Manager Rick Blackwell and explore the new, world-class mapping and geospatial capabilities for IBM Cognos Analytics and Watson Analytics. Discover how you can add geographic dimension to visualizing critical business information in reports and dashboards in Cognos Analytics.

    Keywords:
    analytics, data, big, watson, ibm, visualization, mapping, geospatial
  • IT Powered Enterprise Analytics IT Powered Enterprise Analytics Andy Cooper, Enterprise IT Consultant, Tableau Recorded: Dec 6 2016 48 mins
    Traditional report factories are rapidly becoming obsolete. Enterprise organizations are shifting to self-service analytics and looking for a sustainable, yet long-term approach to governance that satisfies the needs of both the business and IT.

    The Business needs real-time access to data to drive critical decisions. IT needs to audit and manage data to ensure it’s accurate, secure, and governed to scale.

    With only eight percent of people in traditional organizations able to both ask and answer their own questions, it’s time to take a closer look at your analytics strategy.

    Join this webinar to take a closer look at enterprise analytics and learn how:
    · Visual data analysis brings speed, value, accuracy, collaboration and leads to culture of analytics

    · Modern enterprises are eliminating boundaries between IT and the business

    · Shifting to enterprise self-service analytic tools empowers both the business and IT
  • A Whole New World: Machine-Generated Data and Massive Scale-Out NAS A Whole New World: Machine-Generated Data and Massive Scale-Out NAS Jeff Kato, Taneja Group, Jeff Cobb, Qumulo, Nick Rathke, SCI Recorded: Nov 30 2016 60 mins
    Computer users aren’t top data producers anymore. Machines are. Raw data from sensors, labs, forensics, and exploration are surging into data centers and overwhelming traditional storage. There is a solution: High performance, massively scale-out NAS with data-aware intelligence. Join us as Jeff Cobb, VP of Product Management at Qumulo and Taneja Group Senior Analyst Jeff Kato explain Qumulo’s data-aware scale-out NAS and its seismic shift in storing and processing machine data. We will review how customers are using Qumulo Core, and Nick Rathke of the University of Utah’s Scientific Computing and Imaging (SCI) Institute will join us to share how SCI uses Qumulo to cut raw image processing from months to days.

    Presenters:
    Jeff Kato, Senior Analyst & Consultant, Taneja Group
    Jeff Cobb, VP of Product Management, Qumulo
    Nick Rathke, Assistant Director for IT, The Scientific Computing and Imaging Institute (SCI)
  • How is Data Analytics Reducing Payments Fraud? How is Data Analytics Reducing Payments Fraud? Ina Yulo (BrightTALK), Andrew Davies (Fiserv), Martin Koderisch (Edgar Dunn) Recorded: Nov 30 2016 59 mins
    Predictive Analytics and the study of Big Data has helped many institutions to detect fraudulent practices before they become a hazard to the business. This is especially evident in the Financial Services sector where deploying an efficient prevention and detection strategy is of utmost importance.

    Join this panel where experts will discuss:
    -Which analytics to look at to stop fraudulent payments in real-time
    -Using trends and behavioural analytics to detect anomalies
    -How to implement a holistic strategy that's right for your organisation
    -The challenges in maintaining compliance standards
    -Use cases and applications of analytics to prevent financial crime
  • Video interview: Big Data Challenges: What to do and where to go? Video interview: Big Data Challenges: What to do and where to go? Jason Foster, Director & Founder at Cynozure Recorded: Nov 29 2016 6 mins
    Listen to our interview at Big Data LDN with Jason Foster, Director & Founder at Cynozure.

    Jason will discuss:

    -The value of Big Data and which skills are required to deliver that value
    -How to get started with Big Data projects
    -What to do if progress is limited
    -Business opportunities around customer insight, supply chain analytics, and more
  • Key Considerations for IT Leaders to Optimize Data Architectures for IoT & Cloud Key Considerations for IT Leaders to Optimize Data Architectures for IoT & Cloud Jennifer Riggins, Dave Russell (Hortonworks), Michael Bironneau (Open Energi), Alex Montgomery (Microsoft) Recorded: Nov 29 2016 61 mins
    Rapid data growth from a wide range of new data sources is significantly outpacing organizations’ abilities to manage data with existing systems. Today’s data architectures and IT budgets are straining under the pressure. In response, the center of gravity in the data architecture is shifting from structured transactional systems to cloud based modern data architectures and applications; with Hadoop at it's core.

    Join this live and on-demand video panel as they discuss how the landscape is changing and offer insights into how organizations are successfully navigating this shift to capture new business opportunities while driving cost out.