Hi [[ session.user.profile.firstName ]]

Big Data Analytics

  • Date
  • Rating
  • Views
  • 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
  • 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.
  • 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.
  • 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
  • Fog Computing in Mobile Network
    Fog Computing in Mobile Network Adnyesh Dalpati, Director Solutions Architect at Alef Mobitech Recorded: Jun 22 2017 43 mins
    Fog computing has the potential to resolve the issues with network latency since the media rich content can be delivered through such nodes directly.

    Fog Computing inside the mobile network providers opens up a window of revenue opportunities for MNO's and creates a innovative space in content & application delivery platform.

    Join this webinar to learn how to tackle the different challenges with fog computing and its role in the IoT cycle.
  • Computational Behaviour Modelling for the Internet of Things
    Computational Behaviour Modelling for the Internet of Things Dr. Fahim Kawsar, Director of IoT Research at Nokia Bell Labs Recorded: Jun 21 2017 49 mins
    We are observing a monumental effort from the industry and academia to make everything connected. Naturally, to understand the needs of these connected things, we need a better understanding of humans and where, when, and how they interact. This behavioural understanding would help us to create digital services and capabilities that fundamentally change the way we experience our lives.

    In this talk, I will explore the system and algorithmic challenges in modelling human behaviour. I will discuss how mobile and wearable devices together with the wireless network can be used as a multi-sensory computational platform to learn and infer human behaviour and to design user-centred connected services across Enterprise, Urban City and Lifestyle.

    Dr Fahim Kawsar leads the Internet of Things research at Bell Labs and holds a Design United Professorship at TU Delft. His current research explores novel algorithms and system design techniques to build transformative multi-sensory systems for disruptive mobile, wearable and IoT services. He borrows tenets from Social Psychology, learns from Behavioural Economics and applies Computer Science methods to drive his research. He is a frequent keynote, panel and tutorial speaker, hold 15+ patents, organised and chaired numerous conferences, (co-)authored 100+ publications and had projects commissioned. He is a former Microsoft Research Fellow and has worked before at Nokia Research, and Lancaster University. His work and publications can be viewed at http://www.fahim-kawsar.net.
  • Big Data and real time analytics in the IoT: From measurement to knowledge
    Big Data and real time analytics in the IoT: From measurement to knowledge Raquel López Alarcón, Sofia2 Platform Architect Recorded: Jun 21 2017 46 mins
    Do you want to get actual knowledge from your data, to understand it and to predict what will happen next? We will see what it takes from the device to the dashboard.

    In this webinar, we will discuss:
    - Use cases of IoT Analytics in different areas.
    - Architectural components & strategy required for a complete IoT solution.
    - Application Example.

Embed in website or blog