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

Big Data and Data Management

  • Spark Application Performance Management with Pepperdata Application Spotlight
    Spark Application Performance Management with Pepperdata Application Spotlight Vinod Nair Live 60 mins
    Pepperdata Application Spotlight analyzes all Hadoop and Spark jobs running on the cluster and provides developers with technical insights on how each job performed. Intended for software engineers, developers, and technical leads who develop Spark applications, this webinar demonstrates how Application Spotlight helps developers quickly improve application performance, reduce resource usage, and understand application failures. Participate in this webinar and learn how developers can:

    –Identify the lines of code and the stages that cause performance issues related to CPU, memory, garbage collection, network, and disk I/O

    –Easily disambiguate resources used during parallel stages

    –Understand why run-time variations occur for the same application

    –Determine whether performance issues are due to the application or other workloads on the cluster

    –Receive actionable recommendations for tuning jobs

    –Validate tuning changes made to applications with a before and after comparison

    –View the highlights worst performing phases of jobs

    –Improve MapReduce and Spark developer productivity

    –Improve cluster efficiency based on clear recommendations on how to modify workloads and configurations


    Vinod Nair leads product management at Pepperdata. He brings more than 20 years of experience in engineering and product management to the job, with a special interest in distributed systems and Hadoop. He has worked in software for telecommunications, financial management for small business, and big data. Vinod’s approach to product management is deeply influenced by his success in applying Lean Startup principles and rapid iteration to product design and development.
  • Beyond Visualizations: Drive Revenue with Embedded Analytics
    Beyond Visualizations: Drive Revenue with Embedded Analytics Haarthi Sadasivam, Technical Product Manager, Looker Live 60 mins
    Incorporate data into your product, and take advantage of word class databases and a modern data platform. And learn from companies that have been there.

    Join this webinar and learn:

    - How to incorporate data into your product, and take advantage of word class databases and a modern data platform. And hear from companies that have been there.
    - Learn how PDX improved their in house analytical solution and offered their pharmacies a premium level of service — granting them access to collaborate and share the data that they need.
    - Learn how Namely, a HR platform, was able to leverage modern technologies ---databases optimized for performance, ETL tools, BI platforms that offer customization and can scale — to build out a scalable go to market solution in 3 months.
  • Architecting Your Data and Systems to Address Data Subjects' Rights
    Architecting Your Data and Systems to Address Data Subjects' Rights Primitive Logic CEO Jill Reber, President Kevin Moos & Chief Architect Eric Greenfeder Live 60 mins
    Regardless of your geographical location, if you handle EU residents’ personal data, you also need to provide mechanisms that allow an individual to exercise the rights that are afforded by the GDPR. The ability to search, discover and review and delete data is a critical component of GDPR compliance.
    But if that data is stored in multiple systems, and potentially shared with multiple partners, the tasks become dramatically more complex – requiring the technological ability to find and address all affected data promptly.
    All of these rights require a new level of enterprise-wide data mapping, data governance, data architecture and system management. Join Primitive Logic’s technology solution experts in a conversation about how to address Subject Access Requests from the technology perspective.

    Day 2 of 3 day series:
    Day 2 - Focus on Privacy side of GDPR from a technology perspective

    ~ Day 1 – Overview of key concepts with legal and technical discussion of suggested actions
    ~ Day 3 – Focus on Security side of GDPR from a technology perspective

    Speakers:
    Jill Reber, Primitive Logic CEO
    Kevin Moos, Primitive Logic President
    Eric Greenfeder, Primitive Logic Chief Architect
  • eDiscovery and the GDPR: Ready or Not, Here it Comes!
    eDiscovery and the GDPR: Ready or Not, Here it Comes! Doug Austin and Tom O'Connor Live 75 mins
    Do you think that your organization isn’t subject to the requirements of Europe’s impending General Data Protection Regulation (GDPR)?  You may be wrong about that.  If it is, are you on target to be compliant by May 25?  This CLE-approved* webcast session will cover how data privacy requirements have evolved over time, the parameters associated with the GDPR, what they mean to your organization and what steps your organization needs to take to ensure compliance with the GDPR.  Topics include:
     
    + How Data Privacy Requirements Have Evolved in the US and Europe
    + Scope of the GDPR Beyond the EU
    + A Definitional Baseline for GDPR
    + Important Changes and Organizational Impact
    + Data Existence and GDPR Compliance
    + Challenges Presented by Privacy Rights Associated with the GDPR
    + Fines: The Potential Cost of Non-Compliance
    + Business of the GDPR: Controllers and Processors
    + Steps to Take to Comply with the GDPR

    Presentation Leader: Doug Austin

    Doug is the VP of Products and Professional Services for CloudNine. At CloudNine, Doug manages professional services consulting projects for CloudNine clients. Doug has over 25 years of experience providing legal technology consulting, technical project management and software development services to numerous commercial and government clients. 

    Special Consultant to CloudNine: Tom O'Connor

    Tom O’Connor is a nationally known consultant, speaker, and writer in the field of computerized litigation support systems. Tom’s consulting experience is primarily in complex litigation matters.

    * MCLE Approved in Selected States
  • Enhancing Customer 360 Models with Automated Machine Learning
    Enhancing Customer 360 Models with Automated Machine Learning Raju Penmatcha and Justin Dickersson Recorded: Feb 21 2018 58 mins
    Predicting customer behavior is quite challenging. However, knowledge of a customer at an individual level offers enormous benefits. A company with such knowledge can provide better customer experience and retention, targeted marketing, increase sales, and proactive care. But many existing customer models are very macro in nature and fail to deliver at an individual level.

    Machine Learning allows us to build such micro level models by taking into account all digital touch points of a customer with the company. These models will help predict what a customer is going to do next, what their near-future behavior will be and what response to anticipate from an action.

    On this webinar, you’ll hear the current state of machine learning in Customer 360 – and then learn how you can stay one step ahead in building highly customer-centric models for your business.
  • Data Preparation Essentials for Automated Machine Learning
    Data Preparation Essentials for Automated Machine Learning Jen Underwood Recorded: Feb 21 2018 55 mins
    In order to run successful machine learning projects, and create highly-accurate predictive models for your business, you need effective data preparation. Although machine learning automation provides safeguards to prevent common mistakes, you’ll still want to correctly prepare, shape and format your data to generate optimal models.



    In this on-demand webinar, Jen Underwood, Founder of Impact Analytix reviews how to organize data in a machine learning-friendly format that accurately reflects the business process and outcomes. She shares basic guidelines, practical tips, and additional resources to help get you started mastering the essence of predictive model data preparation.
  • Redefine Manufacturing with IoT, AI and Analytics
    Redefine Manufacturing with IoT, AI and Analytics Milos Milojevic, Pierre Audoin Consultants & Greg Kinsey, Hitachi Vantara & Sachin Andhare, Hitachi Vantara Recorded: Feb 21 2018 58 mins
    The internet of things (IoT) fundamentally changes how products are manufactured, consumed and serviced. With IoT technologies, artificial intelligence (AI) and predictive analytics, manufacturers can achieve greater efficiencies, build flexible operations and deliver superior products and services.

    In this webinar, you’ll learn:
    •Key trends, challenges and opportunities in the manufacturing industry based on PAC research.
    •How Hitachi addresses digital transformation with machine learning and advanced analytics.
    •Top use cases from global manufacturers who see strong outcomes and high return on investment with IoT.
  • Under the Hood: Introduction to Vertica In-database Machine Learning
    Under the Hood: Introduction to Vertica In-database Machine Learning Waqas Dhillon and Josh Poduska, Vertica Recorded: Feb 21 2018 54 mins
    Vertica’s in-database machine learning supports the entire predictive analytics process with massively parallel processing and a familiar SQL interface. Vertica has the only native, in-database, distributed machine learning library on the market today; complete with easy-to-use features for blazing fast ingestion, complex data preparation, the fastest distributed model building available, thorough model evaluation, detailed model management, simple model deployment, and advanced integration with popular machine learning and visualization tools.

    During this demo you’ll get a firsthand look at Vertica machine learning using a public IoT dataset from the Irish Smart Meter project. The demonstration will cover data exploration and visualization, data preparation, model building, model scoring, model evaluation, and model management. Learn how data scientists and analysts can leverage Vertica to embrace the power of Big Data and accelerate business outcomes with no limits and no compromises.
  • Enhancing Anti-Money Laundering (AML) Programs with Automated Machine Learning
    Enhancing Anti-Money Laundering (AML) Programs with Automated Machine Learning Dan Yelle Recorded: Feb 21 2018 47 mins
    Compliance organizations within banks and other financial institutions are turning to machine learning for improving their AML compliance programs. Today, the systems that aim to detect potentially suspicious activity are commonly rule-based, and suffer from ultra-high false positive rates. Automated machine learning provides a solution to address this challenge.



    In this webinar, Dan Yelle, a Customer-Facing Data Scientist for DataRobot will show how automated machine learning can be used to reduce false positive rates, thereby improving the efficiency of AML transaction monitoring and reducing costs.
  • Advances in Fraud Detection with Automated Machine Learning
    Advances in Fraud Detection with Automated Machine Learning Justin Dickerson and Igor Veskler Recorded: Feb 21 2018 61 mins
    Preventing fraud is a mission-critical objective of every financial institution, including fintechs. But those committing fraud continue to evolve their tactics to evade detection by even the best prepared organizations.



    On this on-demand webinar, you’ll get an overview of the current state of machine learning in fraud detection – and learn how you can stay one step ahead of those looking to harm your business.
  • Data Quality: GDPR Compliance with Confidence
    Data Quality: GDPR Compliance with Confidence Aisan Baird, Director, EMEA & APAC Pre-Sales, Syncsort Recorded: Feb 21 2018 45 mins
    Explore key insights on how data quality can help you achieve your GDPR compliance with confidence, including:

    * GDPR readiness: What companies must be prepared for
    * Why Data Quality is so critical for GDPR compliance
    * How to address data-related GDPR challenges through a practical, structured approach
  • Dynamic Risk-Based Pricing in Fintech
    Dynamic Risk-Based Pricing in Fintech Justin Dickerson and Igor Veskler Recorded: Feb 21 2018 46 mins
    Machine learning has quickly become the tool of choice for pricing a variety of financial products. Instead of utilizing legacy rules-based matrices for pricing, companies have turned to predictive modeling to understand the likelihood of default and overall borrower repayment performance. This has enabled companies to move from older pricing schemes to dynamic risk-based pricing.

    Justin Dickerson, General Manager of Global Fintech for DataRobot and Igor Veksler, a leading Customer-Facing Data Scientist for DataRobot have both worked in the alternative finance industry as data scientists and led this transition to risk-based pricing for their respective organizations. As leaders at DataRobot, they currently share their expertise with clients and potential customers looking to leverage machine learning to make the transition to dynamic risk-based pricing.

    In this on-demand webinar, Justin and Igor describe how DataRobot can help enable your enterprise to leverage automated machine learning to become a leader in risk-based pricing.
  • Embedded Analytics: Why it's the Future of Business Intelligence
    Embedded Analytics: Why it's the Future of Business Intelligence Anil Saini, Data Viz Expert, Srijan Technologies Recorded: Feb 21 2018 37 mins
    In this talk we will see whether we are building our first product or revamping an existing one, Embedded Analytics can help us solve real customer problems, which builds product value and creates a competitive differentiator to propel our business forward.

    Additionally, we'll deeply look into how Embedded Analytics is different from Traditional Business Intelligence and what are the factors/trends driving Embedded Analytics.
  • Getting the Full Business Value from Your Data in 2018
    Getting the Full Business Value from Your Data in 2018 David Bolton VP of Industry Solutions, Qlik, Chris Mabardy Sr Director of Product Marketing, Qlik Recorded: Feb 21 2018 54 mins
    As the volume and complexity of data continue to grow, leading organizations across every industry have one thing in common — they view data as a strategic asset. What’s more, they have figured out how to break down their organization’s data silos, using analytics to turn data into game-changing insights that help transform their businesses.

    So how are they accomplishing this?

    Join David Bolton, VP of Industry Solutions, and Chris Mabardy, Sr Director of Product Marketing, as they share how some of the world’s largest and most successful organizations have leveraged Qlik to deliver real business value. See how Qlik’s industry leading Associative Engine allows them to:

    Combine different data sources without complex modeling
    Explore, search, and pivot their data in any direction
    Seamlessly handle both big and small data
    Take the first step to delivering business value from your data in 2018.
  • Harness Hybrid Data Management
    Harness Hybrid Data Management Mike Gaultieri, VP & Principal Analyst, Forrester Research Recorded: Feb 21 2018 60 mins
    Mike shares insights from a research study sponsored by Actian on the need and adoption of hybrid data.
    Mike Hoskins shares the steps Actian has taken to enable the hybrid enterprise to perform real-time analytics.
  • Is Artificial Intelligence Worth It for Me?
    Is Artificial Intelligence Worth It for Me? Greg Michaelson Recorded: Feb 20 2018 60 mins
    Understanding buzzwords, avoiding the hype, and capitalizing on AI.
  • Hardware Selection Criteria for Object Storage
    Hardware Selection Criteria for Object Storage John Bell, Senior Consultant & Tony Barbagallo, VP of Product Recorded: Feb 20 2018 40 mins
    Thinking about implementing object storage in your infrastructure and not sure what hardware you need? With information and tips curated from hundreds of installations, VP of Product Tony Barbagallo and Sr. Consultant John Bell will explain the criteria you should consider as you make your selections and will be available to answer your questions.
  • Not Just Another GDPR Webinar: Critical Information You Need to Know About GDPR
    Not Just Another GDPR Webinar: Critical Information You Need to Know About GDPR Primitive Logic CEO Jill Reber & President Kevin Moos and Latham & Watkins Partner Michael Rubin Recorded: Feb 20 2018 59 mins
    Join this conversation between Primitive Logic’s technology solutions experts and Latham & Watkins’ Privacy and Data Protection legal expert to understand GDPR key points and technical solutions to help your GDPR readiness.

    - What steps do you have to take to address the expanded definition of Personal Data?

    - Consent Management Considerations

    - What do the Privacy Rights given to data subjects mean for your digital data governance solutions?

    Day 1 of 3 day series:
    Day 1 – Overview of key concepts with legal and technical discussion of suggested actions

    ~ Day 2 – Focus on Privacy side of GDPR from a technology perspective
    ~ Day 3 – Focus on Security side of GDPR from a technology perspective

    Speakers:
    Jill P. Reber, Primitive Logic CEO
    Kevin Moos, Primitive Logic President
    Michael Rubin, Latham & Watkins Partner – Privacy and Data Protection
  • Key Steps for Data Preparation to Enable Effective Analysis & Visualization
    Key Steps for Data Preparation to Enable Effective Analysis & Visualization Andy Kriebel, Head Coach at The Data School & Eva Murray, Head of BI and Tableau Evangelist at Exasol Recorded: Feb 20 2018 62 mins
    Data visualization requires data to be prepared before any meaningful analysis can be conducted. Finding insights, making correct observations and taking actions to drive outcomes therefore don't just depend on the way information is communicated but also on the preparation preceding the analysis.

    In this webinar we discuss the key steps for data preparation to enable effective analysis and visual exploration of the data. We will show practical examples from projects we have worked on as well as share some simple data preparation ideas from our Makeover Monday challenges.

    Lastly, we will show an example of how data preparation can enrich a dataset and enable further analysis.
  • What is your Land Value, Thessaloniki? A Real (estate) Data Visualization Story
    What is your Land Value, Thessaloniki? A Real (estate) Data Visualization Story Charalampos Xanthopoulakis, Data Visualizations Architect Recorded: Feb 20 2018 46 mins
    Selling your house in the financial crisis-stricken Greece is up to this day a great ordeal. When faced with such a challenge, I was baffled by the sparsity of conclusive data on land value at my birthplace city, Thessaloniki. Embarking on a personal mission and collecting and processing more than 10K online housing ads together with open data, I managed to render an insightful interactive visualization of the actual real estate values on borough and city block level that was published through the Greek media. Join me on this thought process journey to find out how to

    o Gather vast online data with simple scripting

    o Combine your data with open data into meaningful structures

    o Create interactive data visualizations that have an actual impact @ infographeo.com

    This will be an interactive session, so please feel free to bring your thoughts and questions to share during the session.
  • Comment protéger vos données contre les attaques de type Ransomware ?
    Comment protéger vos données contre les attaques de type Ransomware ? Mourad DELHOUM System Engineer Dell EMC DPS, couvrant l’Afrique du Nord et l’Afrique de l’ouest Recorded: Feb 20 2018 54 mins
    Découvrez comment protéger les ressources les plus précieuses de votre entreprise, vos données, avec les solutions de protection des données Dell EMC. Confortablement installé dans votre bureau ou à la maison, rejoignez vos collègues et experts pour participer à ce webinaire sur la protection des données et découvrir comment Dell EMC, Numéro 1 dans ce domaine, vous aide à protéger vos données contre les attaques de type Ransomware et construire votre dernière ligne de défense.
  • Critical Building Blocks for GDPR Compliance
    Critical Building Blocks for GDPR Compliance Scott Wenzel, BackOffice Associates Feb 21 2018 8:00 pm UTC 60 mins
    The General Data Protection Regulation (GDPR) requires a strong information governance (IG) foundation to enable organizations to identify where personal data exists and the risks associated with it. Achieving compliance is about effectively setting, managing and auditing data related policies and processes – how a business collects and uses data. Strong data governance will be key as will ensuring that policies and rules are enforced and monitored.

    This session will focus on how Information Governance and Stewardship are critical for ongoing GDPR compliance and addresses key areas such as article 16, article 32 and more.

    Join this webinar to learn more about how to:
    - Enforce governance policies through business processes
    - Automatically apply and enforce your data quality processes and controls on all data in all systems in your organization
    - Apply predictive processing and a guided experience through machine learning
    - Improve data quality as required by article 16 immediate remediation, and ensure rule bindings associated with personal data have a high priority.

    About the presenter:
    Scott Wenzel has over 25 years of technology experience, helping companies integrate, manage, and improve the quality of their data. Scott specializes in Data Governance, Data Integration and Data Quality applications on multiple database and BI platforms and has extensive experience in Regulated Industries, Public Sector, Healthcare, Insurance, and Utility industries. He has spoken at numerous seminars and conferences (SAP SAPPHIRE, ASUG and others) on these and other related topics.
  • The Rise of Embedded Analytics, How To Do It Right
    The Rise of Embedded Analytics, How To Do It Right Anurag Tandon, VP, Product Management Feb 21 2018 8:00 pm UTC 60 mins
    Today's most successful companies are data-driven, making informed decisions instead of guesses. Traditionally data-driven insights have been delivered in the form of standalone business intelligence applications, but in the past few years we’ve seen a big shift towards delivering contextual analytics embedded directly into other software applications and business workflows. For software vendors this means meeting high end-user expectations by infusing compelling data visualizations and analytics into every application you create and sell. Modern data visualization and analytics applications, therefore, need to be designed from the ground-up to be quick and easy to embed for a web and mobile-first world. They also must capable of handling today's rapidly evolving modern data platforms so that your analytics technology does not lock you into using yesterday's
    data stores.

    If you're a CTO, product manager, or software engineering leader, you may be curious about whether to build or buy an integrated analytics solution, how to evaluate the available offerings for embedded analytics, and how to most efficiently embed data visualization and analytics into your application. In this webcast, we will cover the following topics:

    ● Assessing the current state of your application's integrated analytics
    ● Approaching the build vs. buy decision
    ● Styles of embedding, from light to deep
    ● Considerations for deployment flexibility
    ● Security integration considerations
    ● Avoiding data platform lock-in
  • Panel Discussion: The Road to a Data-Driven Business
    Panel Discussion: The Road to a Data-Driven Business Jen Stirrup, Gordon Tredgold, Joanna Schloss, & Lyndsay Wise Feb 22 2018 1:00 pm UTC 60 mins
    Join Jenn Stirrup (Director, DataRelish), Gordon Tredgold (CEO & Founder, Leadership Principles LLC), Joanna Schloss (Data Expert) and Lyndsay Wise (Solution Director, Information Builders) as they discuss what it takes to take a business from needing analytics to leveraging analytics successfully.
  • From Data to Movie-Style Story: How to Take your Presentation to the Next Level
    From Data to Movie-Style Story: How to Take your Presentation to the Next Level Ted Frank, Principal, Backstories Studio Feb 22 2018 4:00 pm UTC 45 mins
    In analytical reporting, often the data and presentation of it are perfect, but the data story falls flat. Looking to storytelling techniques from Hollywood, one can effectively drive home the point of their data and take their data visualizations to the next level.

    Join Ted Frank, Principal at Backstories Studio for this webinar as he shows you the quick wins in storytelling, so right away, you can have your stakeholders understanding more and eager, on the edge of their seats. It starts with finding your key story and staying out of the weeds, then how to visualize it, and finally, how to deliver it so you get heard and make a bigger difference.

    You can reach Ted at the following:
    - ted@backstories.tv
    - www.backstories.tv

    Discover his book Get to the Heart below:
    - ted@getotheheartbook.com
    - www.gettotheheartbook.com
  • Stateful containers for DevOps and Beyond
    Stateful containers for DevOps and Beyond Michael Mattsson - Container Technical Marketing Engineer & Stacey Gilmore Product Marketing Feb 22 2018 4:00 pm UTC 60 mins
    2018 is the year for containers. IT teams are using them to bring new levels of cloud portability, infrastructure utilization, and micro-services to applications. There’s just one big catch: what about the data? How will you bring container-style automation, portability, and operations to enterprise applications and data? Attend this webinar and learn how to make it easy. HPE will share top use cases and show a demo of advanced data services with persistent storage for teams.
  • How to Hire and Test for Data Skills: A One-Size-Fits-All Interview Kit
    How to Hire and Test for Data Skills: A One-Size-Fits-All Interview Kit Tanya Cashorali, Data Scientist and Entrepreneur, TCB Analytics Feb 22 2018 5:00 pm UTC 60 mins
    Given the recent demand for data analytics and data science skills, adequately testing and qualifying candidates can be a daunting task. Interviewing hundreds of individuals of varying experience and skill levels requires a standardized approach. In this webinar, Tanya Cashorali explores strategies, best practices, and deceptively simple interviewing techniques for data analytics and data science candidates.
  • A New Era of Analytics: Combine the Best of Mind and Machine
    A New Era of Analytics: Combine the Best of Mind and Machine Jen Underwood, Founder & Principal Analyst, Impact Analytix, Brad Scarff, Chief Technology Officer, Yellowfin Feb 22 2018 5:00 pm UTC 60 mins
    The future is here. We have entered a new era of analytics. Data volumes and complexity have exceeded the limits of current manual drag-and-drop solutions. Data is moving at the speed of business but speed-to-insight lags behind. It is time to adopt intelligent next generation, machine-powered analytics interacting with human context to retain your competitive edge.
  • Neural Networks/Deep Learning to Transform Modern AI Platform
    Neural Networks/Deep Learning to Transform Modern AI Platform Dr. Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs Feb 22 2018 6:00 pm UTC 60 mins
    AI is changing the way organizations do businesses and how they interact with customers. AI continues to drive the change. Deep Learning and Natural Language Processing will become standards in AI solutions. Deep Learning is based on brain simulations and uses deep neural networks. AlphaGo is the first AI system to defeat a professional human Go player, the first program to defeat a Go world champion, and arguably the strongest Go player in history. Baidu improved speech recognition from 89% to 99% using Deep Learning. Every AI and Machine learning scientist is required to know Deep Learning tools in his / her current job scenario.

    In this session, we will be discussing what is Deep Learning and why it is gaining popularity. We will explain AI solutions using Deep Learning with a practical example. Deep Learning has an edge over other machine learning techniques as with the increased volume of data, performance increases with Deep Learning. Further, Deep Learning enables Hierarchical Feature Learning i.e. learning feature hierarchies.
  • The ServiceNow Kingston Update: Machine Learning, AI, UX, Oh My!
    The ServiceNow Kingston Update: Machine Learning, AI, UX, Oh My! Marci Parker, Garrison Ball, Meghan Lockwood Feb 22 2018 6:00 pm UTC 60 mins
    With the ServiceNow’s new Kingston release, fans will not only get new functionality for a richer user experience but enjoy important strides in perhaps the most anticipated areas area of the day: machine learning and automation.Every release brings us more expansion across the ServiceNow Platform, and Kingston is no exception, adding new features and functionality including advances in the ServiceNow Platform, CSM, HR Service Delivery, ITOM, ITBM, Performance Analytics, Security Operations, GRC, and, of course, IT Service Management (including Software Asset Management). Taken in context, these new capabilities make a strong case that ServiceNow is setting itself up to act as the technology backbone for modern organizations (so keep an eye out for future platform plays!).
  • Customer Support through Natural Language Processing and Machine Learning
    Customer Support through Natural Language Processing and Machine Learning Robin Marcenac, Sr. Managing Consultant, IBM, Ross Ackerman, Dir. Digital Support Strategy, NetApp, Alex McDonald, SNIA CSI Feb 22 2018 7:00 pm UTC 75 mins
    Watson is a computer system capable of answering questions posed in natural language. Watson was named after IBM's first CEO, Thomas J. Watson. The computer system was specifically developed to answer questions on the quiz show Jeopardy! (where it beat its human competitors) and was then used in commercial applications, the first of which was helping with lung cancer treatment.

    NetApp is now using IBM Watson in Elio, a virtual support assistant that responds to queries in natural language. Elio is built using Watson’s cognitive computing capabilities. These enable Elio to analyze unstructured data by using natural language processing to understand grammar and context, understand complex questions, and evaluate all possible meanings to determine what is being asked. Elio then reasons and identifies the best answers to questions with help from experts who monitor the quality of answers and continue to train Elio on more subjects.

    Elio and Watson represent an innovative and novel use of large quantities of unstructured data to help solve problems, on average, four times faster than traditional methods. Join us at this webcast, where we’ll discuss:

    •The challenges of utilizing large quantities of valuable yet unstructured data
    •How Watson and Elio continuously learn as more data arrives, and navigates an ever growing volume of technical information
    •How Watson understands customer language and provides understandable responses

    Learn how these new and exciting technologies are changing the way we look at and interact with large volumes of traditionally hard-to-analyze data.
  • A Day in the Life of a GDPR Breach
    A Day in the Life of a GDPR Breach Jae Lee Product Marketing Director, Security Markets Feb 22 2018 7:00 pm UTC 60 mins
    You’re a CIO, CISO or DPO - and you’ve been woken up in the middle of the night because personal data held by your organization has been discovered for sale on the dark web. This disclosure puts the privacy of your customers at risk. What do you do next?

    Join this session to learn about the impact of GDPR and go through a breach investigation and response scenario as it would be after GDPR comes into effect in May 2018.

    What you will learn:
    - What breach response will look like under the GDPR
    - What tools and processes a data privacy officer will rely on in case of a breach
    - What departments and entities will be involved beyond IT
    - What activities are currently happening within organizations to prepare for the GDPR
    - What the consequences of the breach could be
  • Bigger, Faster, Connected and More Valuable: Where Data Is Going
    Bigger, Faster, Connected and More Valuable: Where Data Is Going Daniel Mintz, Chief Data Evangelist, Looker Feb 22 2018 7:00 pm UTC 60 mins
    The world of data is changing at breakneck speed. Costs are dropping, speed is increasing, and centralization is getting easier. But getting more value from your data isn’t always easy. We’ll talk about the key trends in analytics and how to prepare your organization for this new world.

    Join this webinar and learn:

    - Which new analytic technologies and trends you need to be aware of and how they’ll impact your business;
    - How to use new technologies to actually empower business users to self-serve to answers and make better decisions using data in their day-to-day workflows
    - Pitfalls to avoid (and flashy technologies to ignore) when you’re planning your analytics strategy
  • Trends in the Modern Data and Analytics Market and Industry Forecasts for 2018
    Trends in the Modern Data and Analytics Market and Industry Forecasts for 2018 CTO, Ruhollah Farchtchi & Jake Flomenberg Partner at Accel Partners Feb 22 2018 8:00 pm UTC 60 mins
    Silicon valley venture capitalist Jake Flomenberg gets to see, track and make investments in the evolution of big picture technology trends across areas such as big data analytics, machine learning and artificial intelligence, and emerging modern data platforms and data types that are enabling organizations to be data and analytics-driven. Data driven companies make more effective information backed decisions and tend to significantly outcompete their peers operating on guesses and gut feel. Some companies are now even selling ‘data products’, for example aircraft engine manufacturers tracking and analyzing huge volumes of engine performance data to enable predictive maintenance, fixing things before failure to avoid costs and negative impact on customers.

    Jake will discuss trends he’s seeing related to the data analytics market, such as the growing need for self-service data discovery on very large volumes of data, analytics on streams of data, analytics on unstructured data, and contextual analytics embedded inside of software vendor and enterprise applications. He’ll discuss the characteristics of these markets, where he sees these markets going in the future, and why his firm chose to invest in a company like Zoomdata.

    Zoomdata CTO Ruhollah Farchtchi will then discuss industry trends he has forecast for 2018 including the eclipsing of relational databases by modern data platforms for doing analytics, how the cloud has changed the game for application development, and how working with streaming data is becoming the new normal. He’ll also discuss trends that are more specifically relevant to Zoomdata such as how to leverage the value of company’s investments in modern elastically scalable back-end data infrastructure and how to get corresponding value on the front-end, such as the ability to analyze and get insights from huge volumes of data, streaming data, and unstructured data types.
  • GDPR's Effect On Internet Application Developers and Security Professionals
    GDPR's Effect On Internet Application Developers and Security Professionals Eric Greenfeder Primitive Logic, Nathan Wenzler AsTech, Michael Rubin Latham & Watkins, and Robert Shields Informatica Feb 22 2018 10:00 pm UTC 60 mins
    Join this panel discussion of technology solution, information security, legal privacy and data protection experts along with Informatica’s Director of Product Marketing for Data Security to find out:

    - How does GDPR change the way security is approached by both Internet application developers and security professionals?

    - What are the rights provided to data subjects by GDPR and how does this change the way Internet business applications must be designed and secured?

    - How can organizations demonstrate the GDPR requirements for Article 25: Data Protection by Design and by Default?

    Day 3 of 3 day series:
    Day 3 - Focus on Security side of GDPR from a technology perspective

    ~ Day 1 – Overview of key concepts with legal and technical discussion of suggested actions
    ~ Day 2 – Focus on Privacy side of GDPR from a technology perspective

    Speakers:
    Eric Greenfeder, Primitive Logic Chief Architect
    Nathan Wenzler, AsTech Consulting, Chief Security Strategist
    Michael Rubin, Latham & Watkins Partner – Privacy and Data Protection
    Robert Shields, Informatica Director Product Marketing for Data Security
  • Nowy Data Domain 3300 Możliwości, skalowalność, dla kogo?
    Nowy Data Domain 3300 Możliwości, skalowalność, dla kogo? Daniel Olkowski, Dell EMC Feb 23 2018 9:00 am UTC 60 mins
    W tym miesiącu został ogłoszony nowy model Data Domain DD330.
    •Dla kogo jest przeznaczony?
    •Jakie środowiska zabezpiecza?
    •Jakie nowości wprowadza?
    Zapraszam na 30 minutową dyskusję gdzie powiemy o wszystkich szczegółach nowego DD3300.

    Piątek, 23 luty, 10:00, 30 minut.
    Całość informacji w trakcie porannej kawy!

    Zapraszam,
    Daniel Olkowski
  • HGST SVR2U24 NVMe Storage Server
    HGST SVR2U24 NVMe Storage Server Manfred Berger, HGST - Sr. Mgr. Business Development Platforms EMEAI Feb 27 2018 10:00 am UTC 45 mins
    In this webinar Manfred Berger introduces the latest addition to the HGST platform portfolio, the SVR2U24 NVMe all-flash storage server.

    Combining high performance NVMe SSDs and Intel®’s Purley server architecture into one tried and tested unit, the SVR2U24 enables customers to come to market quickly with a multitude of software defined storage solutions or data base servers optimized for high speed search operations, catering to a multitude of industry verticals.
  • GDPR’s Dirty Little Secret and How Object Storage Enables Compliance
    GDPR’s Dirty Little Secret and How Object Storage Enables Compliance Glen Olsen, Product Manager, and Alex Oldfield, Solutions Architect Feb 27 2018 10:30 am UTC 60 mins
    The dirty little secret? The General Data Protection Regulation (GDPR) does not just affect companies in the EU, it affects companies around the world that collect or process data concerning EU residents. Caringo Product Manager Glen Olsen and Solutions Architect Alex Oldfield explain the challenges organisations face and how Caringo Swarm Object Storage provides a cost-effective solution to help meet the requirements as well as how Data Protection Officers can use Swarm to monitor and enable GDPR compliance.