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Big Data and Data Management

  • Challenges in Building Connected Communities
    Challenges in Building Connected Communities Kate Garman, Jascha Franklin-Hodge, Peter Marx, Limor Schafman Aug 21 2017 3:00 pm UTC 75 mins
    Creating a seamless connected environment that supports smart community citizen services, streamlines operations, supports economic development is already a challenge for community officials. There are many different needs and directions to begin the conversion to an “intelligent” environment. Communities are also planning and building not just for current needs, but also for future connectivity infrastructure that will be used by autonomous vehicles, smart buildings, connected homes, AR/VR, eRetail, eHealthcare, smartgrid and more.

    This webcast will discuss such questions as:
    > What issues are city officials prioritizing for resolution through smart community applications?
    > How are communities planning for and deploying small cell infrastructure?
    > Which departments are involved in communications infrastructure?
    > How can suppliers navigate the multiple departments involved in decision making?
    > What business models are cities negotiating with their technology product partners?
    > What are some of the lessons learned from cities that you can translate into your own business offering?

    Speakers:
    Jascha Franklin-Hodge, CIO, Boston, MA
    Kate Garman,Smart City Coordinator, Seattle, WA
    Peter Marx, currently in the position of VP, GE Digital and former CTO, City of Los Angeles
  • Unsupervised learning to uncover advanced cyber attacks
    Unsupervised learning to uncover advanced cyber attacks Rafael San Miguel Carrasco, Senior Specialist, British Telecom EMEA Aug 22 2017 10:00 am UTC 45 mins
    This case study is framed in a multinational company with 300k+ employees, present in 100+ countries, that is adding one extra layer of security based on big data analytics capabilities, in order to provide net-new value to their ongoing SOC-related investments.

    Having billions of events being generated on a weekly basis, real-time monitoring must be complemented with deep analysis to hunt targeted and advanced attacks.

    By leveraging a cloud-based Spark cluster, ElasticSearch, R, Scala and PowerBI, a security analytics platform based on anomaly detection is being progressively implemented.

    Anomalies are spotted by applying well-known analytics techniques, from data transformation and mining to clustering, graph analysis, topic modeling, classification and dimensionality reduction.
  • Analytics Nightmares and How You Can Prevent Them
    Analytics Nightmares and How You Can Prevent Them Meta S. Brown, Author, Data Mining for Dummies and President, A4A Brown, Inc. Aug 22 2017 3:00 pm UTC 60 mins
    Analytics risks can keep you up at night. What if…
    · We make a big investment and don’t break even?
    · Management doesn’t trust the results?
    · Analysts cross data privacy boundaries?

    What a dilemma! You see the perils, yet you want the rewards that analytics can bring. The appropriate process enables you to dramatically reduce risks and maximize returns on your data and analytics investment.

    In this presentation, you will learn:
    · What causes most analytics failures
    · How you can diminish risk and maximize returns through strong analytics process
    · Why you (yes, you!) have a pivotal opportunity to establish high standards for analytics process right now
  • How to Stay Ahead of Today's Ransomware Realities
    How to Stay Ahead of Today's Ransomware Realities Ken Westin, Security Specialist, Splunk Aug 22 2017 3:00 pm UTC 75 mins
    The recent ransomware outbreaks have destabilized business operations around the world.

    The most recent ransomware scare came from what appeared to be a new variant of the Petya ransomware. Leveraging exploits and techniques similar to WannaCry, along with other advanced techniques, to cause damage by sabotaging systems, this latest attack clearly demonstrates how damaging malware can and likely will continue to be to organizations.

    How can you proactively prepare for such threats?

    Watch this webinar to learn how to apply a broader analytics-driven approach to do the fundamentals better, and minimize the risk that your organization will be affected.

    This session will include live demonstrations, and will cover best practices in the following areas:

    • Security fundamentals – the importance of consistent blocking/tackling and security hygiene
    • Posture assessment – establishing end-to-end visibility of potential ransomware activity
    • Investigation, hunting and remediation – IR techniques to verify alerts and hypotheses, and prioritize based on risk
    • Threat intelligence – identifying C2, file hashes and other ransomware IoCs
    • Automation and orchestration – integrating a layered security architecture to drive to faster decisions
    • Leveraging machine learning to detect ransomware patterns and adapt threat models for the latest mutations
  • Informatica Intelligent Cloud Services for Amazon Redshift – Deep Dive & Demo
    Informatica Intelligent Cloud Services for Amazon Redshift – Deep Dive & Demo Informatica Aug 22 2017 4:00 pm UTC 60 mins
    In this technical session, we will learn about the different use cases around Amazon Redshift and discuss how Informatica Intelligent Cloud Services is used to implement these use cases. Through real world examples, you’ll learn about best practices, when to use ETL versus ELT, performance tuning, and new features recently introduced.

    Key webinar learnings:
    • Amazon Redshift: Key benefits, capabilities, and use case patterns
    • Informatica Intelligent Cloud Services for Amazon Redshift and other Amazon services
    • Best Practices
    • Deep Dive Demo of key use cases
  • Performance Benchmarking Big Data Platforms in the Cloud
    Performance Benchmarking Big Data Platforms in the Cloud Reynold Xin, Co-founder and Chief Architect at Databricks Aug 22 2017 5:00 pm UTC 60 mins
    Performance is often a key factor in choosing big data platforms. Over the past few years, Apache Spark has seen rapid adoption by enterprises, making it the de facto data processing engine for its performance and ease of use.


    Since starting the Spark project, our team at Databricks has been focusing on accelerating innovation by building the most performant and optimized Unified Analytics Platform for the cloud. Join Reynold Xin, Co-founder and Chief Architect of Databricks as he discusses the results of our benchmark (using TPC-DS industry standard requirements) comparing the Databricks Runtime (which includes Apache Spark and our DBIO accelerator module) with vanilla open source Spark in the cloud and how these performance gains can have a meaningful impact on your TCO for managing Spark.

    This webinar covers:
    Differences between open source Spark and Databricks Runtime.
    Details on the benchmark including hardware configuration, dataset, etc.
    Summary of the benchmark results which reveal performance gains by up to 5x over open source Spark and other big data engines.
    A live demo comparing processing speeds of Databricks Runtime vs. open source Spark.

    Special Announcement: We will also announce an experimental feature as part of the webinar that aims at drastically speeding up your workloads even more. Be the first to see this feature in action. Register today!
  • The 5 Keys to Successful Predictive Business Analytics
    The 5 Keys to Successful Predictive Business Analytics Lawrence Maisel, President, DecisionVu Group, Inc. Aug 22 2017 5:00 pm UTC 45 mins
    Today businesses of varying sizes, products and services, and industries are actively applying Predictive Business Analytics in seeking to improve greater customer engagement and resulting increased revenues and profits. Often these businesses are looking to their finance group to guide, if not lead, these efforts to successful outcomes.

    In a recent article written by Ray Tong, he cited a CFO magazine survey that:
    • Over 70% of respondents said that they plan to substantially increase the use of data analytics to support decision making and improve business partnering;
    • 68% of respondents, the majority of who were finance executives, said that they plan to improve their data analytic skills in the coming year.

    Consequently, it is essential that the financial professional understands what it is going to take for them to succeed.

    This webinar discusses the five (5) keys to applying Predictive Business Analytics in your organization. It provides attendees with specific and practical insights to guide their approaches to develop and deploy an effective process that improves managerial decision making across many core performance and financial areas.

    What you will learn:

    • What are the key steps to success with practical examples
    • What steps to avoid
    • How to ensure and gain organizational impact

    Larry Maisel a recognized author and thought leader in Business Analytics, with experience assisting companies to improve operating performance and business results. An accomplished business professional, with over 20+ years of experience, with proven leadership skills, expertise to drive bottom-line profits and implementing business systems.
  • Watch the Cloud: Monitoring Your Migration
    Watch the Cloud: Monitoring Your Migration Mike Langdon, Product Manager Aug 22 2017 6:00 pm UTC 30 mins
    Migrating your infrastructure from on-premises to the cloud requires extensive monitoring to ensure your IT operations don't suffer along the way. For many organizations, garnering this insight can be difficult -- if not impossible. Join Blue Medora's Mike Langdon to learn key best practices to monitor your infrastructure during migration, helping you simplify the process and ensure optimal performance from migration to decommissioning.
  • Expanding to International Markets
    Expanding to International Markets Eric Negler, Head of Strategic Partnerships at Signifyd, and Vince Lau, Product Marketing at ThreatMetrix Aug 22 2017 6:00 pm UTC 45 mins
    Join this webinar to hear stories of how specific digital retailers have successfully entered new international markets and are now realizing increased sales without the downside of risky orders.
  • Tensorflow machine learning library and sample of application
    Tensorflow machine learning library and sample of application Marwa Ayad Mohamed ( Founder of YourChildCode ,Team lead software Engineer, Women Techmakers Cairo Lead) Aug 23 2017 8:00 am UTC 45 mins
    Tensorflow is an open source software library for numerical computation and machine learning.

    Join this session where Marwa will discuss:

    -Introduction to Artificial intelligence, machine learning and deep learning
    -Sample of machine learning applications
    -Tensorflow Story, Model and windows installation steps with object recognition demo.
  • Putting AI into LeAdershIp
    Putting AI into LeAdershIp Prof. Dr. Michael Feindt, Founder & Chief Scientific Officer, Blue Yonder Aug 23 2017 12:00 pm UTC 45 mins
    Artificial Intelligence (AI) is not a technology for the future; it’s a huge business opportunity for today. But how can your organisation become a trailblazer for AI innovation, transforming the way you work to deliver immediate – and lasting – bottom line value?

    Former CERN scientist, Prof. Dr. Michael Feindt, is one of the brightest minds in Machine Learning. Join him for a 30-minute masterclass in how to apply AI to your business.

    You’ll learn how AI can:
    •Make sense of market and customer complexity, to deliver quick and effective decisions every single day
    •Increase workforce productivity to improve output and staff morale
    •Enhance decision-making and forecasting accuracy, for operational efficiency and improved productivity
    •Be implemented into your business quickly, easily, with minimal disruption

    Michael will also share real-life examples of how international businesses are using AI as a transformation tool, from his experience as founder of market-leading AI solution provider, Blue Yonder.
  • Ask the Data Expert: Live Q&A on All Things Machine Learning & AI
    Ask the Data Expert: Live Q&A on All Things Machine Learning & AI Wim Stoop, Cloudera Aug 23 2017 2:00 pm UTC 60 mins
    Join this webinar where data expert Wim Stoop from Cloudera will answer all of your Machine Learning & AI questions live.

    Wim will also go over some frequently asked questions on Machine Learning and AI such as:

    -Is AI going to eclipse Hadoop?
    -What are some tips and tricks for mastering deep learning?
  • Hunting Criminals with Hybrid Analytics, Semi-supervised Learning, & Feedback
    Hunting Criminals with Hybrid Analytics, Semi-supervised Learning, & Feedback David Talby, CTO, Atigeo Aug 23 2017 5:00 pm UTC 60 mins
    Fraud detection is a classic adversarial analytics challenge: As soon as an automated system successfully learns to stop one scheme, fraudsters move on to attack another way. Each scheme requires looking for different signals (i.e. features) to catch; is relatively rare (one in millions for finance or e-commerce); and may take months to investigate a single case (in healthcare or tax, for example) – making quality training data scarce.

    This talk will cover a code walk-through, the key lessons learned while building such real-world software systems over the past few years. We'll look for fraud signals in public email datasets, using IPython and popular open-source libraries (scikit-learn, statsmodel, nltk, etc.) for data science and Apache Spark as the compute engine for scalable parallel processing.

    David will iteratively build a machine-learned hybrid model – combining features from different data sources and algorithmic approaches, to catch diverse aspects of suspect behavior:

    - Natural language processing: finding keywords in relevant context within unstructured text
    - Statistical NLP: sentiment analysis via supervised machine learning
    - Time series analysis: understanding daily/weekly cycles and changes in habitual behavior
    - Graph analysis: finding actions outside the usual or expected network of people
    - Heuristic rules: finding suspect actions based on past schemes or external datasets
    - Topic modeling: highlighting use of keywords outside an expected context
    - Anomaly detection: Fully unsupervised ranking of unusual behavior

    Apache Spark is used to run these models at scale – in batch mode for model training and with Spark Streaming for production use. We’ll discuss the data model, computation, and feedback workflows, as well as some tools and libraries built on top of the open-source components to enable faster experimentation, optimization, and productization of the models.
  • Device Intelligence: Going Beyond Old-School Device Fingerprinting
    Device Intelligence: Going Beyond Old-School Device Fingerprinting Kedar Samant, CTO & Co-Founder, Simility Aug 23 2017 5:00 pm UTC 60 mins
    With old-school device fingerprinting, it’s easy to stop or allow known devices, but with the explosion of the number of new devices and companies engaging customers via multi-channels, the technology falls short in helping you identify transactions that are truly risky or good.

    In this webinar, you’ll see how device intelligence with machine learning allows you to derive more accurate fraud and risk insights from large amounts of device engagement data.
  • Artificial Intelligence: Methods, Applications and Impacts
    Artificial Intelligence: Methods, Applications and Impacts Arinze Akutekwe, PhD Data Scientist, BAS EMEIA – Intelligent Enterprise - Analytics at Fujitsu Aug 23 2017 6:00 pm UTC 45 mins
    Artificial intelligence has greatly changed the way we live since the 20th century. It involves the science and engineering of making machines intelligent and autonomous using computer programs.

    The processing power of computers has been on the exponential increase with cost of processors and storage decreasing. This has made research and developments efforts in AI areas such as deep learning, once thought to be impossible possible.

    In this webinar, we will examine current methods, application domains of specific methods, their impacts on our daily lives and try to answer questions on ethics of applying these technologies.