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Big Data and Data Management

  • A Guide for Selecting the Proper Technique for Your Particular Need
    A Guide for Selecting the Proper Technique for Your Particular Need
    Marc Psaila, Sales Consultant, Tableau Recorded: Jun 27 2019 25 mins
    Maps are always popular visualisation types but you can rapidly be overwhelmed by the different options and there are a number of common mistakes that should be avoided.

    Beyond the typical symbol maps and filled maps, there are also some less known techniques that can also be implemented using Tableau.

    The goal of this session is to have a comprehensive view on the different techniques, how to build them and what are the advantages and limitations of each technique.

    Regardless of your level of expertise in Tableau, this session will help you to determine what map type is the best for your particular use case.
  • Extending the H2O Driverless AI Platform with Your Recipes
    Extending the H2O Driverless AI Platform with Your Recipes
    Arno Candel, CTO at H2O.ai Recorded: Jun 26 2019 60 mins
    Driverless AI is H2O.ai's latest flagship product for automatic machine learning. It fully automates some of the most challenging and productive tasks in applied data science such as feature engineering, model tuning, model ensembling and production deployment. Driverless AI turns Kaggle-winning grandmaster recipes into production-ready code (Java and C++), and is specifically designed to avoid common mistakes such as under- or overfitting, data leakage or improper model validation, which are some of the hardest challenges in data science. Other industry-leading capabilities include automatic data visualization and machine learning interpretability.

    We're now excited to add the ability for users, partners and customers to extend the platform with Bring-Your-Own-Recipe. Now domain experts and advanced data scientists can now write their own recipes and seamlessly extend Driverless AI with their favorite tools from the rich ecosystem of open-source data science and machine learning libraries. During this webinar we'll demonstrate how easy it is to write a new recipe for feature transformation or use a third party algorithm to extend Driverless AI.

    Arno's bio:
    Arno Candel is the Chief Technology Officer at H2O.ai. He is the main committer of H2O-3 and Driverless AI and has been designing and implementing high-performance machine-learning algorithms since 2012. Previously, he spent a decade in supercomputing at ETH and SLAC and collaborated with CERN on next-generation particle accelerators.

    Arno holds a PhD and Masters summa cum laude in Physics from ETH Zurich, Switzerland. He was named “2014 Big Data All-Star” by Fortune Magazine and featured by ETH GLOBE in 2015. Follow him on Twitter: @ArnoCandel.
  • How Western Digital’s NVMe-oF Storage Products Accelerate Workloads and ROI
    How Western Digital’s NVMe-oF Storage Products Accelerate Workloads and ROI
    Dave Montgomery, Director of Platforms, Western Digital Recorded: Jun 26 2019 30 mins
    As discussed during our May webinar – NVMe-oF 101, to address today’s dynamic data requirements, we must consider that end users need a next-generation infrastructure that aligns storage resources with workloads without jeopardizing performance, capacity, or incurring unwarranted expense, and this is where Non-Volatile Memory Express over Fabrics (NVMe-oF) comes into play.

    To continue our NVMe-oF discussion, during this follow-up webinar, we’ll dive Western Digital’s OpenFlex™ line of NVMe-over-Fabrics (NVMe-oF) products. We’ll share how OpenFlex can address these issues today – with dynamic control of the blend of storage resources that each application needs – enabling both flexibility and composability of flash and disk-based resources.

    In this webinar, you will learn:
    >How composability and NVMe-oF address the dynamic nature of today’s IT application environment (recap)
    >The challenges in using server-based NVMe devices
    >The architecture of the OpenFlex product line
    >How Western Digital’s OpenFlex product line accelerates workloads and improves IT asset ROI
  • Conquering the Biggest eDiscovery Challenges Facing Plaintiff’s Attorneys
    Conquering the Biggest eDiscovery Challenges Facing Plaintiff’s Attorneys
    Doug Austin and Tom O'Connor Recorded: Jun 26 2019 72 mins
    It seems as though the eDiscovery deck is stacked against plaintiff’s attorneys. Defendants seem to have all the resources, the technical know-how and the interest of the major eDiscovery vendors while the plaintiffs often have few resources, technical knowledge or eDiscovery experience. How do plaintiff’s attorneys bridge that gap? This CLE-approved* webcast session will discuss the biggest eDiscovery challenges facing plaintiff’s attorneys and provide best practices for addressing those challenges to give plaintiff’s attorneys the best chance t get the evidence they need for their case. Topics include:

    + Biggest eDiscovery Challenges Facing Plaintiff’s Attorneys
    + Ethical Duties and Rules for Understanding Technology
    + Does the eDiscovery Market Care About Plaintiff's Attorneys?
    + Understanding the Fundamentals of eDiscovery
    + Your Clients May Have More ESI Than You Think
    + How to Request the Right Form of Production from Opposing Counsel
    + Mechanisms and Approaches for Getting the Data to Make Your Case
    + What You Need to Know About Technology Assisted Review
    + Resources You Need to Bridge Your Understanding Gap

    Presentation Leaders:

    Doug Austin is the Vice President of Products and Services for CloudNine. Doug has over 30 years of experience providing legal technology consulting, technical project management and software development services to numerous commercial and government clients. Doug is also the editor of the CloudNine sponsored eDiscovery Daily blog, which is a trusted resource for eDiscovery news and analysis, and has received a JD Supra Readers Choice Award as the Top eDiscovery Author for three consecutive years .

    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.
  • Providing unprecedented transparency into the health of data science teams
    Providing unprecedented transparency into the health of data science teams
    Kelly Xu, Product Marketing Manager and Georgi Matev, Head of Product Management Recorded: Jun 26 2019 14 mins
    While working with Fortune 500 companies who have sophisticated data science organizations, we realized that existing tools don't meet collaboration, visibility, and governance needs.

    Domino 3.5 answers the needs of data science leaders. It allows data science managers to define their own data science project life cycle, and easily track and manage projects with a holistic understanding of the latest developments. It also surfaces projects that need immediate attention in real time by showing the projects that are blocked. Watch this short webinar to learn how Domino 3.5 equips data science leaders and IT admins with:

    -Project Portfolio Dashboard
    -Project Stage Configuration
    -License Usage Reporting
  • The Gender Tipping Point: Women, Emotional Intelligence, and Leadership
    The Gender Tipping Point: Women, Emotional Intelligence, and Leadership
    Dr. Shawn Andrews Recorded: Jun 26 2019 63 mins
    Dr. Shawn Andrews joins us to discuss gender equality and if the gender parity is attainable.

    Dr. Shawn Andrews is a keynote speaker, organizational consultant, business school professor, and best-selling author. She has research expertise in the areas of Leadership, Emotional Intelligence, Gender, Unconscious Bias, and Diversity & Inclusion. She addresses the current leadership gender gap, barriers to leadership, gender-specific emotional intelligence, and gender culture differences. She explains how each of these show up every day in the workplace, how they affect perception and promotion, and provides recommendations for individuals to improve career advancement, and for organizations to enhance diversity and inclusion.
  • GDPR, CCPA, LGPD: It’s Time for an Enterprise Data Privacy Program
    GDPR, CCPA, LGPD: It’s Time for an Enterprise Data Privacy Program
    Dan Everett, VP Product and Solution Marketing, Informatica Recorded: Jun 26 2019 15 mins
    Companies are having to address a growing number of data privacy and protection regulations. Instead of approaching each one as a separate “project,” it’s time to take an enterprise data privacy program approach that can be used across regulations.



    In this webinar we will discuss a six-step framework that can help you create a foundation for enterprise data privacy. Learn how this framework can help you capitalize on the learnings from each specific regulation project, to speed implementation, reduce costs, and increase compliance.
  • Unravel automated Root Cause Analysis demo
    Unravel automated Root Cause Analysis demo
    Abha Jain, Director of Products, Unravel Data Recorded: Jun 26 2019 4 mins
    Unravel Director of Product Abha Jain provides a quick 3 minute demo of Unravel RCA capabilities.
  • Unravel Spark Troubleshooting demo
    Unravel Spark Troubleshooting demo
    Marlon Braendli, Unravel Solution Specialist, Unravel Recorded: Jun 26 2019 4 mins
    In this video, Unravel solution specialists Marlon Braendli provides a brief demo to provide an overview of Unravel, focusing primarily on Spark troubleshooting and performance tuning.
  • The Evolution To AIOps: Featuring Insights from Forrester
    The Evolution To AIOps: Featuring Insights from Forrester
    Russ Elsner, Senior Director of Application Strategy, ScienceLogic and Guest Speaker Rich Lane, Forrester Senior Analyst Recorded: Jun 26 2019 59 mins
    As IT complexity accelerates, I&O teams struggle to keep up with the pace of change while continuing to support the needs of the business. IT operations, ITSM, and DevOps leaders increasingly need advanced monitoring approaches that can provide intelligent automation to keep up. But intelligent automation requires clean, structured data that reflects complete business services—infrastructure and applications running across the multi-cloud and hybrid cloud architectures.

    Join guest Rich Lane, Forrester Senior Analyst serving Infrastructure and Operations Professionals, and Russ Elsner, Senior Director of Application Strategy with ScienceLogic as they explore the rapidly evolving world of IT Operations Management towards intelligent, automated operations — what some call AIOps. They will discuss:
    •What's driving IT transformation towards more intelligent, automated operations
    •What new approaches and technologies are emerging that enable organizations to deliver resilient customer experiences through ML-assisted automation
    •How the combination of analytics, topology, and automation are key to AIOps
    •How to get started today

    Attend this webinar to learn which modern solutions are right for your environment and how you can leverage them to diagnose, predict, and assess business impact so you can prevent disruptions while optimizing cost and performance.
  • Spurring Innovation with Topic Prominence at Arizona State University
    Spurring Innovation with Topic Prominence at Arizona State University
    Hansa Magee (Assistant Director of Analytics at ASU's Knowledge Enterprise) & Chris James (Product Mananger, Elsevier) Recorded: Jun 26 2019 60 mins
    Each of the 96,000 Topics in SciVal are comprised of a collection of Scopus publications with a common, focused, intellectual interest. Since its launch over 1.5 years ago the Topics functionality has been refined to provide a host of benefits to help our users understand their impact in these areas of high momentum.

    Join us in this webinar to understand how you can make the most of these improvements and learn first-hand how a core SciVal user, Hansa Magee from Arizona State University, has been applying Topics to her work.
  • SWEAGLE & Chef Habitat: Taking configData of Enterprise Apps to the Next Level
    SWEAGLE & Chef Habitat: Taking configData of Enterprise Apps to the Next Level
    Tom Finch, Solutions Architect EMEA, Chef & Ben Riley, Technical Director UK, SWEAGLE Recorded: Jun 26 2019 37 mins
    Why Watch this?

    Around 22% of production incidents are caused by the use of incorrect configuration data. SWEAGLE prevents this from happening.

    Join this webinar to hear how SWEAGLE works with deployment tools to avoid these production incidents occurring. This webinar focuses on CHEF but it equally applies to all deployment tools.

    Your world is complex already, delivering excellent software is critical and time is short. Add this into a constantly changing eco system of complex, inter-related applications which need to be more reliant and secure than ever before and the mission to deploy world class software delivering amazing customer experience through software is imperative.

    In this webinar, see how Chef Habitat & SWEAGLE combine to take your enterprise applications to the next level in their deployment, scalability, reliability & security.

    - Understand how Chef Habitat is able to automate its deployment quality using SWEAGLE
    - See SWEAGLE consume, structure, validate and provide Habitat environment configData
    - See how rigorous role-based access doesn’t slow your deployments down but keeps your data secure
    - Watch Habitat plan, build & execute your estates build process and utilise SWEAGLE in the process

    Take your software journey to the next level.

    Who should attend:
    DevOps Teams
    Developers
    Operations Teams
    Enterprise Architects
    Technology managers & Leaders
  • How to Improve BI Performance (APAC)
    How to Improve BI Performance (APAC)
    Ravi Shankar, Senior Vice President and Chief Marketing Officer, Denodo and Chris Day, Principal Sales Engineer, Denodo Recorded: Jun 26 2019 57 mins
    Do you know the data warehouse/ business intelligence mission? Gartner says that it is “the analysis of all data from across the enterprise to answer questions about the past, present, and future.” That means, bringing together data from various locations – on premises, cloud, suppliers, and 3rd party –, in various formats – structured, unstructured, and semi-structured –, and across various latencies – batch, real-time, and streaming. The performance of BI tools tremendously suffers when they move large amounts of such data into their semantic layer in order to display charts and dashboards. So, how do you solve this problem?

    That’s where data virtualization comes in as a solution. Data virtualization is a modern data integration technology that processes the queries at the sources and delivers only the results to the BI tools, thus dramatically improving the performance of these tools.

    In this webinar, you will learn:
    • Why the performance of BI tools suffers when accessing large amounts of disparate data.
    • What is data virtualization and how it optimizes query processing, thus boosting BI performance.
    • How to further use data virtualization as an universal semantic layer thus liberating business users to use any BI tools they like.
  • No More Silos: Integrating Databases into Apache Kafka®
    No More Silos: Integrating Databases into Apache Kafka®
    Robin Moffatt, Developer Advocate, Confluent Recorded: Jun 25 2019 56 mins
    Companies new and old are all recognizing the importance of a low-latency, scalable, fault-tolerant data backbone, in the form of the Apache Kafka® streaming platform. With Apache Kafka, developers can integrate multiple sources and systems, which enables low latency analytics, event-driven architectures and the population of multiple downstream systems.

    In this talk, we’ll look at one of the most common integration requirements – connecting databases to Apache Kafka. We’ll consider the concept that all data is a stream of events, including that residing within a database. We’ll look at why we’d want to stream data from a database, including driving applications in Apache Kafka from events upstream. We’ll discuss the different methods for connecting databases to Apache Kafka, and the pros and cons of each. Techniques including Change-Data-Capture (CDC) and Apache Kafka Connect will be covered, as well as an exploration of the power of KSQL, streaming SQL for Apache Kafka, for performing transformations such as joins on the inbound data.

    Register now to learn:
    •Why databases are just a materialized view of a stream of events
    •The best ways to integrate databases with Apache Kafka
    •Anti-patterns to be aware of
    •The power of KSQL for transforming streams of data in Apache Kafka
  • Kafka, Cassandra and Kubernetes: Real-time Anomaly Detection at Scale
    Kafka, Cassandra and Kubernetes: Real-time Anomaly Detection at Scale
    Paul Brebner Recorded: Jun 25 2019 45 mins
    Apache Kafka, Apache Cassandra and Kubernetes are open source big data technologies enabling applications and business operations to scale massively and rapidly. While Kafka and Cassandra underpins the data layer of the stack providing capability to stream, disseminate, store and retrieve data at very low latency, Kubernetes is a container orchestration technology that helps in automated application deployment and scaling of application clusters. In this webinar, we will discuss how we architected a massive scale deployment of a streaming data pipeline with Kafka and Cassandra to cater to an example Anomaly detection application running on a Kubernetes cluster and generating and processing massive amount of events. Anomaly detection is a method used to detect unusual events in an event stream. It is widely used in a range of applications such as financial fraud detection, security, threat detection, website user analytics, sensors, IoT, system health monitoring, etc. When such applications operate at massive scale generating millions or billions of events, they impose significant computational, performance and scalability challenges to anomaly detection algorithms and data layer technologies. We will demonstrate the scalability, performance and cost effectiveness of Kafka and Cassandra, with results from our experiments allowing the Anomaly detection application to scale to 19 Billion anomaly checks per day.
  • How Climate Grew Its Data Science Capabilities 10x in 2 Years
    How Climate Grew Its Data Science Capabilities 10x in 2 Years
    Mir Yasir Ali - Sr. Staff Software Engineer, Climate Corporation / Kris Skrinak - Machine Learning Segment Lead, AWS Recorded: Jun 25 2019 34 mins
    Recorded at Rev 2 | May 23-24, 2019 | New York

    Day 2 - Case Studies - Climate Corporation, AWS

    The Climate Corporation provides a platform for farmers around the world to use best-in-class analytic capabilities to digitize their operations and optimize their profits. Come learn about Climate’s journey from a scrappy startup to a mature company and hear how we grew our data science capabilities 10x, from supporting 20 data scientists to supporting 200 data scientists, over 2 years.

    As a new startup, data scientists were working on customized servers with a complex set of unstandardized libraries. Time and effort were lost to maintenance and overhead, with researchers spending 50% of their time maintaining and customizing research environments. Additionally, sharing work between groups was a significant challenge and versioning of models/data was done manually, with a high risk for error. We identified a need to standardize our environments to minimize time spent configuring research environments as well as simplifying collaboration across data scientists on an ongoing basis.

    To meet this need, we developed a process and infrastructure whereby hardware and software are tailored to a researcher’s needs based on their domain, and we built out automation to enable this process by default. By automating the configuration of Yarn, Spark, Docker, AWS and Domino we drove standardized infrastructure for research and discovery within Climate. This enabled the data science team to deliver models to production faster and at less than half the previous cost, enabling farmers around the world to increase crop yields and grow more food for all of us!
  • Data Science as the Enabler of Digital Transformation
    Data Science as the Enabler of Digital Transformation
    Bill Groves - Chief Data Officer, Walmart Recorded: Jun 25 2019 32 mins
    Recorded at Rev 2 | May 23-24, 2019 | New York

    Day 2 - Case Studies - Walmart

    Digital Transformation is not necessarily about digital technology, but about the fact that technology, which is digital, allows people/companies to solve their traditional problems - and they prefer this digital solution to the old solution. Digital transformation is more about the integration of digital technology into all areas of a business, fundamentally changing how you operate and deliver value to customers. Learn about how Walmart is managing digital transformation as a cultural change that requires organizations at the behemoth size to startup-scale to continually challenge the status quo, experiment, and get comfortable with failure. The evolution of the role of data scientist will be explored at length along with what the required skill sets of the future will entail.
  • Data Science at The New York Times
    Data Science at The New York Times
    Chris Wiggins - Chief Data Scientist, The New York Times Recorded: Jun 25 2019 32 mins
    Recorded at Rev 2 | May 23-24, 2019 | New York

    Day 2 - Case Studies - The New York Times

    The Data Science group at The New York Times develops and deploys machine learning solutions to newsroom and business problems. Re-framing real-world questions as machine learning tasks require not only adapting and extending models and algorithms to new or special cases but also sufficient breadth to know the right method for the right challenge. I’ll first outline how unsupervised, supervised, and reinforcement learning methods are increasingly used in human applications for description, prediction, and prescription, respectively. I’ll then focus on the ‘prescriptive’ cases, showing how methods from the reinforcement learning and causal inference literature can be of direct impact in engineering, business, and decision-making more generally.
  • Auto-Adjudicating Veterinary Claims at Trupanion
    Auto-Adjudicating Veterinary Claims at Trupanion
    David Jaw - Lead Data Scientist, Trupanion Recorded: Jun 25 2019 33 mins
    Recorded at Rev 2 | May 23-24, 2019 | New York

    Day 2 - Case Studies - Trupanion

    Trupanion is one of the fastest growing players in the pet medical insurance space. At Trupanion we aim to revolutionize the way pet owners are able to approach the costs of veterinary care by completely restructuring the claim reimbursement model. Leveraging NLP and machine learning we are able to auto-adjudicate claims in a matter of seconds compared to the industry standard of one week. Eliminating the laborious claims process not only allows our customers and partnering veterinary clinics to focus on providing the best care for their pets but also allows Trupanion to operate at scale as our business grows. In this talk, we will discuss how Domino has empowered the data science and engineering teams at Trupanion to create a multi-layer framework for auto-adjudicating veterinary claims in real time.
  • Best Practices for Advancing Human Progress with Models
    Best Practices for Advancing Human Progress with Models
    Marck Vaisman - Technology Solutions, Data and AI, Microsoft Recorded: Jun 25 2019 32 mins
    Recorded at Rev 2 | May 23-24, 2019 | New York

    Day 2 - Leadership - Microsoft

    With his background spanning work in government, the commercial sector, and academia alike, Marck brings a unique and comprehensive perspective to this talk, where he’ll delve into the common themes and lessons learned across all kinds of organizations aiming to improve outcomes through data science.

    Topics that will be addressed include:

    - The importance and key considerations of building a data science community comprised of diverse backgrounds and skill sets
    - How to recognize and communicate the impact of models and data science, and how to articulate that value to business stakeholders
    - How to tackle hard problems in human ways by upskilling domain experts
    - Cautions and mitigation strategies around giving non-technical users access to data science technologies
    - Analogies between the federal and commercial sectors, and how they can learn from each other
  • Catalyzing Your Transformation, Thanks to Early Model Risk Governance
    Catalyzing Your Transformation, Thanks to Early Model Risk Governance
    Sebastien Conort - Chief Data Scientist, BNP Paribas Cardif Recorded: Jun 25 2019 25 mins
    Recorded at Rev 2 | May 23-24, 2019 | New York

    Day 2 - Leadership - BNP Paribas Cardif

    Issuing an internal model risk governance is often not prioritized in the early stages of the transformation journey towards a model-driven company. Indeed, designing and validating such governances can be seen as a complex and heavy task, cannibalizing resources. In addition, some stakeholders of the transformation see governances as innovation killers. In this talk, Sebastien will explain all the benefits he experimented after releasing an internal analytics model risk governance at BNP Paribas Cardif, how it boosted the transformation pace, and why he thinks that is an important deliverable to be prioritized as soon as possible on the transformation path.
  • Product Management for AI
    Product Management for AI
    Peter Skomoroch - Head of Data Products, Workday Recorded: Jun 25 2019 33 mins
    Recorded at Rev 2 | May 23-24, 2019 | New York

    Day 2 - Leadership - Workday

    Companies that understand how to apply AI will scale and win their respective markets over the next decade. That said, delivering on this promise and managing machine learning projects is much harder than most people anticipate. Many organizations hire teams of PhDs and data scientists, then fail to ship products that move business metrics. The root cause is often a lack of product strategy for AI, or the failure to adapt their product development processes to the needs of machine learning systems. This talk will cover some of the common ways machine learning fails in practice, the tactical responsibilities of AI product managers, and how to approach product strategy for AI.

    Peter Skomoroch, former Head of Data Products at Workday and LinkedIn, will describe how you can navigate these challenges to ship metric moving AI products that matter to your business.

    Peter will provide practical advice on:

    - The role of an AI Product Manager
    - How to evaluate and prioritize your AI projects
    - The ways AI product management differs from traditional product management
    - Bridging the worlds of design and machine learning
    - Making trade offs between data quality and other business metrics
  • Applied Machine Learning in Finance
    Applied Machine Learning in Finance
    Chakri Cherukuri - Sr. Quantitative Researcher, Bloomberg Recorded: Jun 25 2019 32 mins
    Recorded at Rev 2 | May 23-24, 2019 | New York

    Day 2 - Practitioner - Bloomberg

    Quantitative finance is a rich field in finance where advanced mathematical and statistical techniques are employed by both the sell-side and buy-side institutions. Techniques like time-series analysis, stochastic calculus, multivariate statistics, and numerical optimization are often used by “quants” for modeling asset prices, portfolio construction/optimization, building automated trading strategies. My talk will focus on how machine learning and deep learning techniques are being used in this field.

    In the first part of the talk, we will look at use cases involving both structured and unstructured data sets in finance, where machine learning techniques can be applied. Then we will pick a few case studies and examine in detail how machine learning models can be applied for predictive analytics.

    We’ll look at interactive plots running in Jupyter notebooks. The main focus of the talk will be on reproducible research and model interpretability.
  • Applying Exponential Family Embeddings in Natural Language Processing to Analyze
    Applying Exponential Family Embeddings in Natural Language Processing to Analyze
    Maryam Jahanshahi - Research Scientist, TapRecruit Recorded: Jun 25 2019 34 mins
    Recorded at Rev 2 | May 23-24, 2019 | New York

    Day 2 - Practitioner - TapRecruit

    Many data scientists are familiar with word embedding models such as word2vec, which capture semantic similarity of words in a large corpus. However, word embeddings are limited in their ability to interrogate a corpus alongside other context or over time. Moreover, word embedding models either need significant amounts of data, or tuning through transfer learning of a domain-specific vocabulary that is unique to most commercial applications.

    In this talk, Maryam will introduce exponential family embeddings. Developed by Rudolph and Blei, these methods extend the idea of word embeddings to other types of high-dimensional data. She will demonstrate how they can be used to conduct advanced topic modeling on datasets that are medium-sized, which are specialized enough to require significant modifications of a word2vec model and contain more general data types (including categorical, count, continuous). Maryam will discuss how we implemented a dynamic embedding model using Tensor Flow and our proprietary corpus of job descriptions. Using both categorical and natural language data associated with jobs, we charted the development of different skill sets over the last 3 years. Maryam will specifically focus the description of results on how tech and data science skill sets have developed, grown and pollinated other types of jobs over time.

    Key takeaways: (1) Lessons learnt from implementing different word embedding methods (from pertained to custom); (2) How to map trends from a combination of natural language and structured data; (3) How data science skills have varied across industries, functions and over time.
  • Regularization of RNN Through Bayesian Networks
    Regularization of RNN Through Bayesian Networks
    Vishal Hawa - Principal Data Scientist, Vanguard Recorded: Jun 25 2019 30 mins
    Recorded at Rev 2 | May 23-24, 2019 | New York

    Day 2 - Practitioner - Vanguard

    Data Scientists are often subjected to a wide array of data patterns and signatures. While they analyze the data in the light of a particular problem, they often face challenges when data signatures do not yield to patterns they are expecting. At this point, data scientists must improvise their techniques that are custom to the problem at hand.

    While Deep Learning has shown significant promise towards model performance, it can quickly become untenable particularly when data size falls short of problem space. One such situation regularly appears when modeling with RNNs. RNNs can quickly memorize and over-fit (the problem is further aggravated when data size is small to medium). The presentation exposes shortcomings of RNNs and how a combination of RNNs and Bayesian Network (PGM) can not only overcome this shortcoming but also improvise sequence-modeling behavior of RNNs. We will learn this in the context of Marketing Channel Attribution modeling.
  • Optimizing the Performance of Your Critical Big Data Applications
    Optimizing the Performance of Your Critical Big Data Applications
    Pepperdata Bob Williams and Ryan Clark Jun 27 2019 12:00 pm UTC 45 mins
    Webinar Date: Thursday June 27
    Time: 8:00 AM Eastern / 5:00 AM Pacific
    Duration: 30 minutes

    Optimizing the Performance of Your Critical Big Data Applications

    Moving workloads and Hadoop and Spark applications to the cloud is either a reality or a near-term goal for an overwhelming number of enterprises. For most organizations, optimizing cloud use to improve operational efficiency and achieve cost savings is a primary objective. But migration of workloads is takes time, during which an organization must manage application performance both on-premises and in the cloud while maintaining a close watch on ROI.

    This webinar addresses key questions for organizations deploying big data workloads and applications:
    - Why is my application running slow / stopped?
    - How can I achieve faster MTTR and reduce resource requirements?
    - How can I save up to 50% on infrastructure spend and still achieve SLAs?
    - How can I automatically correlate application and infrastructure performance metrics to get the “big picture”?
    - How accurate are my cloud migration and long-term deployment cost estimates?

    Join the Pepperdata performance optimization team to learn more...
  • Live Webinar: How to use the syslog-ng PE’s new Google Stackdriver destination
    Live Webinar: How to use the syslog-ng PE’s new Google Stackdriver destination
    Craig Finnan, systems engineer/syslog-ng product specialist Jun 27 2019 2:00 pm UTC 60 mins
    Google Stackdriver is a flexible and convenient way to monitor and manage your cloud-based assets, regardless of where they are located or how they are configured. If your organization is completely in the cloud, has apps on Google Cloud or Amazon Web Services, or if you manage a hybrid environment, Stackdriver is a terrific solution.

    Join this live webinar, hosted by syslog-ng’s - Craig Finnan, systems engineer and product specialist, to learn how to set up and use the new syslog-ng PE Google Stackdriver destination.

    Topics discussed in the webinar include how to:

    •Send on-prem log messages collected and processed by syslog-ng PE to GCP
    •Browse and search syslog-ng log messages using the Stackdriver Log Viewer
    •Enhance log-search capabilities by leveraging name-value pairs automatically parsed by syslog-ng
    •Collect and monitor syslog-ng statistics using Stackdriver Monitoring
  • Facilitating Multi-Site Research: Privacy, HIPAA and Data Residency
    Facilitating Multi-Site Research: Privacy, HIPAA and Data Residency
    Charles Boicey (Chief Innovation Officer Clearsense), Craig Hawco (Senior Software Engineer CryptoNumerics) Jun 27 2019 3:00 pm UTC 45 mins
    Healthcare organizations, in most cases, may not have sufficient patient data to perform useful analytics e.g rare disease cohort analysis, gender-based analysis, and ethnicity-based analysis. This prevents them from doing evidence-based care as well as improving research outcomes. Consequently, hospital networks need to collaborate to overcome lack of data, however, due to HIPAA or data residency issues these collaborations are very cumbersome.


    In this webinar, you will learn from Charles Boicey, CIO ClearSense and a leading healthcare expert as well as Craig Hawco Senior Software Engineer, CryptoNumerics about a new way of doing collaborative analytics in a cost efficient, faster, and efficient way while satisfying regulatory requirements.
  • Drive Analytics Adoption And Value By Delivering Solutions Not Just Tools
    Drive Analytics Adoption And Value By Delivering Solutions Not Just Tools
    Boris Evelson, Vice President, Principal Analyst, Forrester & Roman Stanek, CEO, GoodData Jun 27 2019 3:00 pm UTC 60 mins
    Modern, agile, cloud-based analytics platforms and end user-self service
    were a step in the right direction. They helped increase adoption and value
    of analytics over the last decade as compared to older generation IT
    centric on premise technologies. But we are still just scratching the
    surface. Adoption levels are still quite low in absolute terms and tangible
    analytics ROI is perpetually elusive. Ad-hoc data analysis and end-user
    self service are great but have taken us only so far. Going forward mass
    adoption of analytics will depend on delivering solutions, not just tools,
    finely tuned to solve specific business problems and help businesses
    achieve well defined goals and objectives.

    In this webinar, you will learn:
    - What are the differences between data-driven and insights-driven
    business capabilities
    - What are the differences between bottom-up analytics (data and tool
    centric) and top-down (solution centric) approaches
    - What role do embedded analytics and analytical applications play in
    delivering impactful solutions
    - What analytics platform functionality should you look for to ensure that
    you've got the right platform to build effective solutions
  • Take Command Of Your Data Center With OpenManage Enterprise
    Take Command Of Your Data Center With OpenManage Enterprise
    Tushar Oza - Product Manager for OpenManage Enterprise, Dell Technologies Jun 27 2019 4:00 pm UTC 60 mins
    OpenManage Enterprise removes the complexity of configuration, deployment, updating and monitoring your server data center infrastructure running DellEMC PowerEdge servers. This is done by enabling users to discover, inventory systems, create custom configuration and update templates, via out-of-band, in a 1-to-many fashion.

    In this webinar, we will provide an overview of OpenManage Enterprise and then show in a demo how to:
    1. Discover and onboard servers
    2. Perform datacenter level firmware upgrade (incl Repository Manager tool)
    3. Perform bare metal configuration and OS deployment (incl system repurpose)
    4. Maintain configuration compliance in the datacenter
    5. Create policy-based on alerts
    6. Generate reports including Warranty reports

    This webinar is Part 2 of a series. Please watch Part 1 iDRAC and OpenManage Enterprise (April 11 replay) prior to attending this webinar. Link: https://www.dellemc.com/en-us/events/webinar/index.htm?commid=352452
  • Data Applications in the Cloud: Optimization and Migration
    Data Applications in the Cloud: Optimization and Migration
    Grant Liu, VP Solutions Engineer, Unravel Data Jun 27 2019 4:00 pm UTC 40 mins
    The movement to utilize data to drive more effective business outcomes continues to accelerate. But with this acceleration comes an explosion of complex platforms to collect, process, store, and analyze this data. Ensuring these platforms are utilized optimally is a tremendous challenge for businesses.

    Join Grant Liu, VP of Solution Engineering at Unravel data, as he takes you through an AI/ML based approach to Application Performance Management applied to data applications on any infrastructure - whether it be cloud, on-premise, or a combination of the two.
  • Building Digital Ecosystems for Unrivaled Customer Experience, with HSBC
    Building Digital Ecosystems for Unrivaled Customer Experience, with HSBC
    Marco Tedone, Chief Architect, UK - IT Infrastructure, HSBC and Danny Healy, Office of the CTO, MuleSoft Jun 27 2019 4:00 pm UTC 26 mins
    The introduction of Open Banking has seen a dramatic change in the way that traditional banks must operate. At the center of this change is the use of APIs. Whilst financial institutions are creating tactical APIs to meet new Open Banking regulations, many are failing to realize the full benefits that APIs can provide by not invoking an API-led strategy.

    Key takeaways:
    - How Financial institutions can overcome the radical disruption in the marketplace.
    - How putting APIs at the heart of your transformation strategy can enable greater speed, flexibility, and agility.
    - How banks can build internal and external ecosystems using a platform-based approach, to enhance the customer experience.
  • The Intelligent Edge: The Next Frontier of IoT Innovation
    The Intelligent Edge: The Next Frontier of IoT Innovation
    Ed Maguire, Momenta Partners Jun 27 2019 4:00 pm UTC 57 mins
    Edge, mobile edge, and fog computing have emerged, offering a panacea to the pain points of IoT data. Companies such as Intel, SAP, Ericsson and Dell Technologies are creating their own solutions. Edge computing has the potential to impact the data infrastructure of the IoT, but what are the benefits and risks of moving away from the cloud? Edge computing comes with a suite of considerations that need to be carefully considered prior to adoption that we'll explore in turn.

    This webinar will cover:

    - The current state of fog and intelligent edge computing
    - What are the benefits/risks of moving away from the cloud?
    - What does this mean for cloud computing, data infrastructure and data analytics?
    - What are the best use cases of edge computing and what are its limitations?
    - Forecasts on future applications
  • 2019 Data Predictions – Moving To a Zero-Latency Future
    2019 Data Predictions – Moving To a Zero-Latency Future
    Madhukar Kumar, Vice President Technical and Product Marketing, at Redis Labs Jun 27 2019 4:00 pm UTC 43 mins
    The tech industry regularly sees the rise and fall of several hype cycles including the advent of the dot com era to cloud computing, big data and more recently artificial intelligence (AI) and blockchain. Looking back, it is clear that each one of these major changes was additive or in some way related to the disruption that happened before. For example, AI would not be where it is today without big data. Big data would not have been possible without the advent of cloud computing and cloud itself would be non-existent without the world wide web boom in the 90s. Watch this webinar to learn the disruptive trends in data for 2019.

    You Will Learn:

    - Top 5 emerging megatrends
    - Top 5 data trends
    - What a zero latency future entails

    About the presenter:

    Madhukar is a product strategist with a track record of successfully running product management and product marketing teams for the last 10+ years. He has held several leadership positions in small and large technology companies like Zuora, HP and Oracle where he was responsible for building vision, go to market strategies and opening up new markets for hyper growth. More recently he ran product strategy and product marketing at Oracle for Customer Experience (CX) products portfolio including Marketing, CRM, Commerce and Service. In the last 10 years he has also been writing in technology journals and speaking at several industry events across the globe around disruptive new technologies affecting businesses and the future of customer experience.
  • Building a Strong Office of the CDO
    Building a Strong Office of the CDO
    Juan Tello, CDO, Deloitte Consulting LLP and Juan Riojas, CDO, Informatica Jun 27 2019 5:00 pm UTC 46 mins
    Data is no longer an advantage; everyone has it. But how you harness data to power your business can give your organization the competitive edge. The Chief Data Officer is a critical enabler among the leadership team, providing the executive ownership needed to enhance decision making, improve operational efficiency, and empower innovation.
  • Preventing Data Leakage in Cloud Development Environments
    Preventing Data Leakage in Cloud Development Environments
    Harold Byun, VP of Product, Baffle Jun 27 2019 6:00 pm UTC 60 mins
    A lot of companies have been using the cloud for test and development spin-ups to make dev instances available quickly for their application development teams.

    This enables organizations to "shift left" and develop faster, but also introduces increased security risks when production data or data snapshots are used in test dev environments. For example, there have been several widely publicized data exposures that have been left unattended or have been leaked due to cloud misconfigurations.

    Attend this webinar to learn how you can support development teams and secure production data in the cloud at the same time. This session will provide a live review of database migration services and simplified data protection options that help prevent the accidental data leakage from your test dev environments.

    Join this webinar and learn about the following:

    - Some common security gaps in test dev environments
    - How to simplify and secure the migration of production data to development environments
    - How to enable simplified masking of data so developers can do their work
  • Dell EMC PowerMax: The Enterprise Platform for Delivering Next-Gen Analytics
    Dell EMC PowerMax: The Enterprise Platform for Delivering Next-Gen Analytics
    David Mitchell - Senior Product Advisor, Dell EMC and Yaron Dar - Director VMAX All Flash and PowerMax Engineering, Dell EMC Jun 27 2019 6:00 pm UTC 60 mins
    Use of analytic applications and workloads such as Splunk and MongoDB are transforming business. The modern enterprise today needs agility not only for applications, but top performance and scale to drive new ways in providing value for customers and the business. This session followed by Q&A, will dive into how various analytic applications can improve on the latest in PowerMax storage solutions, with business requirements such as speed, compression and deduplication, and be ready for growth into the future.
  • Data Governance & Automatisierung: Neue Erkenntnisse aus Ihren Daten gewinnen
    Data Governance & Automatisierung: Neue Erkenntnisse aus Ihren Daten gewinnen
    Dagmar Hillmeister-Müller - Data Governance Sales Specialist │ Bettina Engelen - Data to Value Specialist Jun 28 2019 8:00 am UTC 45 mins
    Data Governance betrifft das gesamte Unternehmen. Ihre Umsetzung verlangt neben technischen Vorgaben vor allem auch die enge Zusammenarbeit zwischen allen Beteiligten, um gemeinsam die Unternehmensdaten kontinuierlich zu verbessern, insbesondere im Hinblick auf die Verfügbarkeit, Integrität und Vertrauenswürdigkeit aller Daten.

    Bei einem unmethodischen, unstrukurierten Vorgehen oder gar manueller Herangehensweise wird Data Governance in aller Regel zu einer zeitaufwendigen Herkulesaufgabe. Durch Automatisierung wird Data Governance allerdings in die Praxis umsetzbar und leistungsstark.

    In diesem Webinar sprechen wir darüber, wie durch KI- und Machine-Learning die „intelligente Automatisierung von Data Governance“ möglich wird, und basierend hierauf
    • das Auffinden aller Daten im Unternehmen erfolgt, eine kontinuierliche, hohe Datenqualität sichergestellt wird, die Anwendung und Einhaltung von Data Governance Richtlinien sowie Verantwortlichkeiten umgesetzt werden und die Daten immer dem Zweck entsprechend genutzt werden können (Fit for Purpose)
    • strategische Unternehmensinitiativen schneller umgesetzt, unternehmenseigene und gesetzliche Vorschriften verlässlich eingehalten sowie gegenüber dem Wettbewerb Geschwindigkeits- und Kostenvorteile erzielt werden können.
  • Learn How To Align Your Security with Business Outcomes
    Learn How To Align Your Security with Business Outcomes
    Jeff Pollard, VP & Principal Analyst, Forrester Research and Girish Bhat, Director, Product Marketing, Splunk Inc. Jun 28 2019 3:00 pm UTC 54 mins
    Security is now becoming a top priority for businesses worldwide, driven by the challenges posed by digital disruption and the continuously expanding threat landscape. Well architected security is regarded as a strategic advantage and security executives are adopting risk and operational driven metrics to communicate and gain mindshare with corporate boards.

    However, aligning security with business outcomes while handling corporate velocity, key innovations, the skills shortage and budgets is still a work in progress. There has been a dearth of guidance on tools and techniques to develop strategies to align security with corporate and business goals.

    Join this thought leadership Splunk webinar, featuring Forrester, to hear from guest speaker Jeff Pollard, VP and Principal Analyst at Forrester Research and Splunk’s Girish Bhat to understand:

    •How to talk to your board about security
    •How aligning security has helped businesses
    •Forrester’s CISO Strategic Canvas
    •How to apply lessons learned to your own organization
  • Security for the Modern Workforce
    Security for the Modern Workforce
    Justin Vogt - Sr. Sales Engineer, Dell EMC Jun 28 2019 4:00 pm UTC 60 mins
    Secure your business with trusted devices, trusted access and trusted data from Dell Technologies that doesn’t impede your employees’ ability to work anywhere, anytime or compromise their productivity. Our comprehensive threat management portfolio, along with Secureworks, combines prevention with detection and response. Learn how endpoint security and the Unified Workspace, including Safe BIOS, SafeData and Dell SafeGuard & Response provide IT with solutions that instill the confidence your workforce can work anywhere without the need to lock down data.

    Presented by:
    Justin Vogt - Sr. Sales Engineer, Dell EMC
  • Make Digital Cities a Reality with Dell Technologies & Boomi
    Make Digital Cities a Reality with Dell Technologies & Boomi
    Rob Silverberg, Dell Technologies CTO, Digital Communities Jun 28 2019 7:00 pm UTC 33 mins
    As cities move to embrace smart city technologies and Internet of Things (IoT) solutions, they need to understand the new data challenges associated with these projects. In this webcast, we’ll explore the drivers and reasons to implement a Smart City Data strategy and architecture for tangible city and community improvements, not just a science experiment. We will review the challenges and how some cities are preparing to manage the data coming from sensors and IoT devices, as well as review how the Boomi platform and Dell EMC infrastructure supports smart city solutions.
  • Using Tableau Prep in the Real World
    Using Tableau Prep in the Real World
    Ben Tzannes, Senior Product Consultant, Tableau Jul 2 2019 1:00 am UTC 25 mins
    The Tableau Prep suite has just been given a facelift with new functionalities added into Tableau Prep Builder and Tableau Prep Conductor has joined the party. This session will show you how Tableau Prep’s suite of products is able to address real world data challenges, whilst showcasing some powerful cleaning practices that sets Tableau Prep apart in the market. We will cover automation, smart data cleaning, data modelling, and normalizing inconsistent data structures.
  • Livestream: EGG LDN 2019 - Data Science Fundamentals - AM Plenary Keynotes
    Livestream: EGG LDN 2019 - Data Science Fundamentals - AM Plenary Keynotes
    Florian Douetteau, Dataiku | Dr. Sandra Wachter, University of Oxford | Caroline Carruthers, Carruthers and Jackson Jul 2 2019 8:00 am UTC 105 mins
    Program in UK time:

    09:00 - The Path to Enterprise AI
    Jennifer Roubaud, VP NEME, Dataiku

    09:10 - Algorithmic bias, privacy protection and EU non-discrimination law
    Dr. Sandra Wachter, Senior Research Fellow in Data Ethics & AI, University of Oxford

    09:30 - Enabling the data revolution
    Caroline Carruthers, Director, Carruthers and Jackson

    09:50 - A Glance at ADA: Aviva’s Algorithmic Decision Agent
    Damian Rumble, Senior Data Scientist, Aviva

    10:10 - ‎ Can We Make AI Likeable (at least enough to avoid the counter-revolution)?
    Florian Douetteau, CEO, Dataiku
  • Livestream: EGG LDN 2019 - Advanced Analytics in the Field - AM Plenary Sessions
    Livestream: EGG LDN 2019 - Advanced Analytics in the Field - AM Plenary Sessions
    Speakers from Credit Suisse, TomTom, Zoopla, Mercedez Benz and more Jul 2 2019 10:00 am UTC 120 mins
    Program in UK time:

    11:15 - Data Science Pioneers: Conquering the Next Frontier
    Kia Eisinga, Senior Data Scientist, TomTom
    Shaun McGirr, Head of Data Science & Business Intelligence, Cox Automotive UK
    Jan Teichmann, Senior Data Scientist, Zoopla
    Luca Maria Aiello, Senior Research Scientist, Nokia Bell Labs

    11:45 - The Growing Pains, Pitfalls & Future for a Data Science team in a Hyper-Growth company
    Shaun Moate, Director of Applied Machine Learning, DAZN

    12:05 - How Mercedes-Benz and Credit Suisse Super-Sized their Data Initiatives
    Timo Gemmecker, Head of Business Analytics, Mercedes-Benz
    Denis Avdonin, Director - Head of Analytics IT, Credit Suisse
  • Livestream: EGG LDN 2019 - Data Science Fundamentals - PM Plenary Keynotes
    Livestream: EGG LDN 2019 - Data Science Fundamentals - PM Plenary Keynotes
    Tim Hesse, carwow| Nicholas Bignell, UBS | Paul Guthrie, Envelop Risk | Kim Nilsson, Pivigo Jul 2 2019 12:45 pm UTC 105 mins
    Program in UK time:

    14:00 - Balancing AI and the Human Touch
    Tim Hesse, Director of Data, carwow

    14:20 - How to Build a Data Science Service Centre of Excellence
    Nicholas Bignell, Director, UBS

    14:40 - Cyber Risk Analytics: The Next Frontier
    Paul Guthrie, Chief Technology and Product Officer, Envelop Risk

    15:00 - Optimising smart cities with AI
    Kim Nilsson, CEO, Pivigo
  • Livestream: EGG LDN 2019 - Advanced Analytics in the Field - PM Plenary Sessions
    Livestream: EGG LDN 2019 - Advanced Analytics in the Field - PM Plenary Sessions
    Romain Fouache, Dataiku | Denis Fragkakis, IG | Peter Jackson, Legal and General | Jesús Rogel, Barclays Jul 2 2019 2:45 pm UTC 90 mins
    Program in UK time:

    15:50 - Organisation + Humans + Data - Building a highly effective people analytics team at Barclays
    Jesús Rogel, Director of Data Science - Analytics and Insight, Barclays

    16:10 - Mapping your organization’s enterprise AI maturity
    Romain Fouache, COO, Dataiku

    16:30 - Stakeholder Management: A Data Scientist's Perspective
    Denis Fragkakis, Lead Data Scientist, IG

    16:50 - Data Science: Fundamentals & Organisation - Afternoon Session
    Peter Jackson, Director - Group Data Sciences, Legal and General
  • From data to insight in real time with Exasol and Tableau
    From data to insight in real time with Exasol and Tableau
    Valerie Wiedemann, Exasol Jul 2 2019 3:00 pm UTC 30 mins
    Getting live data can be hard and extracting value from it can be a big challenge for businesses. But there is huge potential from analyzing ALL your data. In this webinar, you will learn how Exasol's UDF framework provides an easy and flexible approach for keeping your dashboards and analyses fresh with the latest data. You'll see a live demo using football (soccer) data and we’ll share the tools you need to build such a workflow for your business.
  • 2019 State of the CIO: Why IT Leaders Need to Get Strategic
    2019 State of the CIO: Why IT Leaders Need to Get Strategic
    Adam Dennison, Marvin Christiansen, Rick Fitz Jul 2 2019 4:00 pm UTC 34 mins
    According to IDG’s 2019 State of the CIO research, today’s CIO agenda is increasingly strategic, driven by the need to fuel innovation and develop and refine strategy. As digital transformation heats up and the lines between technology and business blur, CIOs must become more proactive.

    Hear from our panel of experts during this 30 minute, on-demand webcast, how forward-thinking IT leaders are:

    •Actively identifying opportunities for innovation
    •Crafting new strategies and leveraging technologies
    •Identifying trends and citizen requirements that bring new opportunities

    Further, our panel discusses practical steps CIOs should take to succeed in this new paradigm.

    Featuring:

    Adam Dennison
    SVP
    IDG & CIO Publisher

    Marvin Christiansen
    CIO and Cyber Security Manager
    The National Ignition Facility (NIF) at Lawrence Livermore Laboratory

    Rick Fitz
    SVP & GM, IT Markets
    Splunk Inc.
  • Actian TechTALK - Why a Cloud Data Warehouse Should Be Part Of Your Strategy
    Actian TechTALK - Why a Cloud Data Warehouse Should Be Part Of Your Strategy
    Noel Yuhanna VP, Principal Analyst at Forrester; Pradeep Bhanot, Director of Product Marketing at Actian Jul 2 2019 4:00 pm UTC 60 mins
    Join this live webinar to get an insight into the reality behind the shift to data warehousing in the cloud. Hear from Actian’s guest speaker and industry expert, Noel Yuhanna, Principal Analyst for Forrester share his views, based on the experiences of early adopters and empirical survey data from Forrester Research. Learn where organization have been successful with their use of cloud data warehouses as well as the challenges many have faced. Actian will share details about their new cloud data warehouse – Actian Avalanche, followed by live Q&A
  • Build Answer-Generating Apps That Users Love
    Build Answer-Generating Apps That Users Love
    Shane Swiderek, Sherman Wood, Chad Lumley, Rachael Ross, Crystal Phiripes Jul 2 2019 5:00 pm UTC 51 mins
    Learn development best practices for embedding analytics in your application

    More and more employees (not just data analysts or C-level execs) are expected to make data-driven decisions, yet only 20–25% of workers have access to business intelligence (BI) products. But when asked, your end users don’t want to use a “BI tool”—another interface to learn, another login—they want easily accessible answers. Instead of offering a standalone dashboard, the new trend is to embed analytics into applications that are already used every day.

    This workshop series features a brand-new demo application—created by TIBCO Jaspersoft and projekt202—that illustrates and teaches you how to create answer-generating applications of your own. Over the course of 4 webinars, we will introduce you to the what and the why of data as a feature applications and how you can build your own.

    Data as a Feature webinar sessions:

    1)Build answer-generating apps that users love: Learn best practices for making data valuable to your application users
    2)Getting started: How to set up your data as a feature project
    3)Your data in your app: Best practices for embedding interactive reports and visualizations in your app
    4)Managing the experience + ad hoc reporting: Handling security, multi-tenancy, and self-service reporting for your data as a feature app