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Big Data and Data Management

  • Death to Traffic: How Smart Cities are Changing Transportation
    Death to Traffic: How Smart Cities are Changing Transportation Laura Schewel, CEO, StreetLight Data Recorded: Jun 23 2017 45 mins
    From automated vehicles to ride hailing apps, transportation as we know it is changing - and fast. But new technologies alone won't help communities build the efficient, equitable, and sustainable transportation networks communities want. In fact, these innovative technologies could do just the opposite, especially if they are not deployed wisely. Cities must collect the right data and enact the right policies to ensure they do not exacerbate problems like inequity and traffic, and to hold themselves accountable to the promise of new mobility technologies.

    In this webinar, you will find out why - and how - the smartest cities of tomorrow will be those that adopt data-driven transportation strategies today. Join for Laura Schewel's presentation to gain insights into:

    • Why the status quo for transportation data collection is no longer good enough
    • The types of Massive Mobile Data that are useful for transportation and urban planning
    • Algorithmic processing techniques that are critical for making this data useful
    • Case studies from California and Virginia that demonstrate why Massive Mobile Data drives more effective transportation planning
    • A forward-looking blueprint for using Massive Mobile Data to maximize the potential benefits of new transportation technologies - and minimize negative impacts

    Laura Schewel founded StreetLight Data, a mobility analytics provider, after spending more than a decade as an advanced transportation researcher and statistician at the Rocky Mountain Institute and FERC. She has particular expertise in transportation systems, sustainability and safety, and vehicle/system modeling and analysis.
  • How IoT Will Make Healthcare Healthy, Wealthy, & Wise
    How IoT Will Make Healthcare Healthy, Wealthy, & Wise Jarie Bolander, COO, Lab Sensor Solutions Recorded: Jun 23 2017 46 mins
    IoT is a technology that has the potential to make us healthy, wealthy, and wise especially in healthcare. Healthcare is just now adopting IoT to improve patient outcomes and decrease the cost of care.

    In this webinar, you’ll learn:

    - How to identify if an IoT solution will work for your use case.
    - What others in healthcare are using IoT for.
    - The challenges of IoT in healthcare
  • Life after Discoverer: Where to go and how to get there!
    Life after Discoverer: Where to go and how to get there! Michael Armstrong-Smith and Katie Fair Recorded: Jun 23 2017 56 mins
    As Oracle de-supports Discoverer, many companies are struggling to find the right ‘replacement’ tool that will protect their investment and will minimize the impact on IT staff and end users.

    Join Michael Armstrong-Smith, an Oracle ACE, author of all three editions of the "Oracle Press, Oracle BI Discoverer Handbook", and leading expert on all things Discoverer as he discusses:

    - His experience with Discoverer, past, present and future
    - The opportunity for better reporting
    - What to look for in a new reporting solution
    - What he is recommending to his clients
    - Plus much more
  • Visualizing Smart Cities: How Data Visualization can help shape our communities
    Visualizing Smart Cities: How Data Visualization can help shape our communities Andy Kriebel, Head Coach at The Data School, Tableau Zen Master & Eva Murray, Tableau Evangelist at EXASOL, Tableau Trainer Recorded: Jun 23 2017 46 mins
    Whenever there is data, there is the chance to visualize it and gain valuable insights that can drive change and improvements. Governments have realized the potential that data holds for transforming our towns, cities, living spaces and communities to better address the needs of our modern society.

    Governments may want to change public transport services to suit commuters who move away from city centers due to increasing living costs, or develop programs that deliver more support services to areas showing high incidences of mental illnesses, or simply monitor bike traffic to assess the necessity of additional cycle lanes and bike share programs in our capitals. Data and data visualization can help us identify the needs of our communities and can support us in addressing them effectively.

    In this webinar Andy and Eva will present examples of Government using data to improve services for communities and will share how you can get involved through analyzing open data and becoming part of the wider 'dataviz' community.
  • IoT Business Modelling: Perspectives and Methodology
    IoT Business Modelling: Perspectives and Methodology Michael Kuegeler, Principal Solution Architect at Magic Software Recorded: Jun 23 2017 46 mins
    We will examine challenges regarding business model design in the emerging context of the Internet of Things (IoT).
    An unrefined IoT business model implies a significant risk in terms of investment and implementation.

    The key question is, "How can IoT application models be subjected to a reality check taking into account challenges pertaining technology, organization and target markets?"
  • How to get data moving: Impact of big data on transportation
    How to get data moving: Impact of big data on transportation Arwen Smit, Head of Marketing, dovu Recorded: Jun 23 2017 23 mins
    Moving from A-B is slowly being revolutionised through data. Car-sharing and ride-hailing are just the beginning. Thousands of connected devices are currently monitoring data points, and although stand-alone analysis can be useful, true innovation occurs when these data sets are combined to transform into something new.

    In the near future, IoT data explosion and the API revolution will collide to change city planning, urban movement and the role of the car in the 21st century.

    First off, we set out to understand what big data means in the context of transportation, answering questions such as what is it, where is it coming from, and what can you do with it.
    - Next, we'll zoom out and apply these learning to transport innovation in a wider context, considering how it will influence concepts such as urban movement, social mobility, and quality of life.
    - Finally, we'll discuss the relationship between open data and innovation.
  • NetWorker i Backup VMware – Możliwości, ceny, architektura
    NetWorker i Backup VMware – Możliwości, ceny, architektura Daniel Olkowski, Dell EMC Recorded: Jun 23 2017 50 mins
    Ostatnie wersje NetWorkera to dużo nowości w obszarze backupu środowisk wirtualnych.
    Zapraszam na krótką 30 minutową sesję w trakcie której poruszymy wszystkie możliwości NetWorkera dotyczące backupu/odtwarzania infrastruktury VMware:
    •Licencjonowanie
    •Architektura
    •Wydajność
    Nie zabraknie demo!

    Piątek, 23 czerwca, 10:00, 30 minut

    Zapraszam,
    Daniel Olowski
  • Interpreting IoT Data: Context is Everything
    Interpreting IoT Data: Context is Everything Dr. Boris Adryan, Head of IoT & Data Analytics, Zühlke Engineering GmbH Recorded: Jun 23 2017 46 mins
    For decades “things” have been connected to the Internet. Embedded in carefully planned end-to-end solutions, the what and why of the data arising from these devices has often been hard-coded. In other words, in the M2M world, it is usually clear from the outset what is going to happen with the data. In a future IoT, this won’t necessarily be the case. In a world full of connected devices, the meaning and the potential of the device data is only going to become clear in the context where it is needed in.

    But how can software tell that your connected thermometer is useful for a medical application, or that a car in the drive way is likely an indicator of your partner’s presence? This is where device catalogues, information models and ontologies come in handy.

    While the talk is not specifically tailored towards a smart city focus, it should become clear how these technologies can be useful in such environment.
  • Machine Learning Is Re-Inventing Business Process Optimization
    Machine Learning Is Re-Inventing Business Process Optimization Dan Ortega - VP Marketing at Blazent Recorded: Jun 23 2017 5 mins
    Machine Learning is a game changer for business process optimization – enabling organizations to achieve levels of cost and quality efficiency never imagined previously. For the past 30 years, business process optimization was a tedious, time-consuming manual effort. Those tasked with this effort had to examine process output quality and review a very limited set of operational data to identify optimization opportunities based on historical process performance. Process changes would require re-measurement and comparison to pre-change data to evaluate the effectiveness of the change. Often, improvement impacts were either un-measurable or failed to satisfy the expectation of management.
    With modern machine-learning capabilities, process management professionals are able to integrate a broad array of sensors and monitoring mechanisms to capture large volumes of operational data from their business processes. This data can be ingested, correlated and analyzed in real-time to provide a comprehensive view of process performance. Before machine learning, managing the signals from instrumented processes was limited to either pre-defined scenarios or the review of past performance. These limitations have now been removed.
    In business process optimization, there is an important distinction to be made between “change” and “improvement.” Machine-learning systems can correlate a large diversity of data sources – even without pre-defined relationships. They provide the ability to qualify operational (process) data with contextual (cost/value) data to help process managers quantify the impacts of inefficiencies and the potential benefits of changes. This is particularly important when developing a business justification for process optimization investments.
  • The Power of Open Source Apache Cassandra Managed by Instaclustr
    The Power of Open Source Apache Cassandra Managed by Instaclustr Ben Bromhead, CTO and Co-Founder, Instaclustr Recorded: Jun 22 2017 37 mins
    This webinar provides a detailed comparison between open source Apache Cassandra managed by Instaclustr and proprietary technologies such as DataStax Enterprise. The aim is to highlight the operational and cost benefits associated with deploying open source Apache Cassandra and other data management technologies including Apache Spark. This webinar will also discuss the modern business approach to open source and enterprise software deployment and the pitfalls associated with technology lock in.
  • Production Spark Series Part 4: Spark Streaming Delivers Critical Patient Care
    Production Spark Series Part 4: Spark Streaming Delivers Critical Patient Care Charles Boicey, Chief Innovation Officer, Clearsense Recorded: Jun 22 2017 58 mins
    Clearsense is a pioneer in healthcare data science solutions using Spark Streaming to provide real time updates to health care providers for critical health care needs. Clinicians are enabled to make timely decisions from the assessment of a patient's risk for Code Blue, Sepsis and other conditions based on the analysis of information gathered from streaming physiological monitoring along with streaming diagnostic data and the patient historical record. Additionally this technology is used to monitor operational and financial process for efficiency and cost savings. This talk discusses the architecture needed and the challenges associated with providing real time SLAs along with 100% uptime expectations in a multi-tenant Hadoop cluster.
  • GDPR Compliance: Data Management Practices for Success
    GDPR Compliance: Data Management Practices for Success Tony Fisher, Senior Vice President of Business Development & Strategy Recorded: Jun 22 2017 34 mins
    You know GDPR is coming. And with it are substantial penalties for noncompliance. What do you need to do to ensure that you are ready?

    The General Data Protection Regulation (GDPR) is a European Union regulation set to go into effect May 25, 2018. This regulation requires that you strengthen data protection and management technologies and practices if you do business in the EU, have employees or customers that are EU citizens, or otherwise store or access data about European Union citizens. Among other things, GDPR addresses how personal data can be exported, the right for a citizen to control and delete their own personal data, data protection requirements and how data breaches are to be treated and a variety of other data and process-related rules and standards.

    In this webinar, Tony Fisher, Senior Vice President of Business Development & Strategy at Zaloni, will discuss where GDPR sits in the world of big data, overall data lake strategies that help with compliance, and how metadata management is key to that strategy.

    Topics covered:
    - Metadata management
    - GDPR compliance and best practices
    - GDPR technologies
    - Data lake governance
  • Automating Your Corporate Mobility Management
    Automating Your Corporate Mobility Management Michele Pelino, Principal Analyst at Forrester & Pallavi Vanacharla, Head of Prod. Mktg Mobility at Cisco Jasper Recorded: Jun 22 2017 55 mins
    The increasing mobile workforce is impacting corporate mobility management needs and costs.

    Speaker Michele Pelino, Principal Analyst at Forrester, will share Forrester’s research on how enterprises are addressing this challenge.

    Joining her will be Pallavi Vanacharla, product marketing at Cisco Jasper, will share how their new platform – Control Center for Mobile Enterprise - puts the control back in the hands of enterprise.

    What you’ll learn:
    *Real examples of mobility challenges faced by enterprise IT teams
    *Forrester data on the top mobility management tools and services in use today
    *How Cisco Jasper automates mobility management

    Presented by
    Michele Pelino, Principal Analyst at Forrester & Pallavi Vanacharla, Head of Prod. Mktg Mobility at Cisco Jasper
  • Panel: Smart Fog and Transaction Management for Cities and Maritime
    Panel: Smart Fog and Transaction Management for Cities and Maritime Moderator: Katalin Walcott (Intel) Panel: Jeff Fedders (OpenFog), Mark Dixon (IBM), Matthew Bailey (Powering IoT) Recorded: Jun 22 2017 61 mins
    Fog computing represents a tectonic shift for the future of transaction management, distributed supply chain and overall experience. It blurs the lines between the edge and the cloud and puts the focus on the systems which manage and balance the delivery of coherent, end-to-end sessions and associated transaction level agreements. As a result, this new technology is pervasive in several industries.

    Join this panel of experts as they discuss solutions with specific industry use cases from smart fog for Cities, Buildings, Ports, and Maritime.

    Moderator: Katalin Walcott, Work Group Chair Manageability at OpenFog Consortium & Principal Engineer - IoT/Fog Computing Orchestration Architecture at Intel

    Panelists:
    - Jeff Fedders, President at OpenFog Consortium & Chief Strategist, IoTG Strategy and Technology Office at Intel
    - Mark Dixon, Senior Architect for Smarter Cities at IBM
    - Matthew Bailey, President, Powering IoT - Smart City advisor and strategist to governments, technology corporations, and economic development agencies