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Data Disruptors: Build augmented analytics with NLQ and the power of a question

With Lumenore’s “Ask Me” Natural Language Query (NLQ) feature, you can ask your data questions in your own language and get clear answers, whether in a dashboard, a chart, an email, or the response of your choice. This powerful augmented analytics capability puts a lot of demands on the underlying infrastructure. Come learn what it does, how it works, how it can democratize analytics in your business, and why Lumenore uses Vertica to power this cutting-edge capability.
Live online Dec 3 4:00 pm UTC
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Presented by
Saurabh Mishra, Director Data Analytics; Varun Gaur, Director Product Management; Paige Roberts, Vertica
Presentation preview: Data Disruptors: Build augmented analytics with NLQ and the power of a question

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  • Operationalizing Machine Learning for the Enterprise using Python & Vertica Dec 16 2020 4:00 pm UTC 60 mins
    Waqas Dhillon, Badr Ouali and Jeff Healey, Vertica
    Under the Hood: Data science has the potential to help businesses gain a competitive edge, but the difficulty of putting machine learning models into production is a huge impediment. Vertica ML unifies machine learning with data warehousing, which not only democratizes access to core machine learning capabilities but also greatly simplifies putting these models into production.

    In this session, we will share with you how you can use Vertica’s Python interface to perform the entire machine learning cycle – from data preparation to model deployment on very large datasets spanning several nodes in a cluster. We will also demonstrate the use Vertica as a repository for your machine learning models so you can archive, manage, and deploy these models on your enterprise data whether on-premises or in the cloud.
  • Data Disruptors: Build augmented analytics with NLQ and the power of a question Dec 3 2020 4:00 pm UTC 60 mins
    Saurabh Mishra, Director Data Analytics; Varun Gaur, Director Product Management; Paige Roberts, Vertica
    With Lumenore’s “Ask Me” Natural Language Query (NLQ) feature, you can ask your data questions in your own language and get clear answers, whether in a dashboard, a chart, an email, or the response of your choice. This powerful augmented analytics capability puts a lot of demands on the underlying infrastructure. Come learn what it does, how it works, how it can democratize analytics in your business, and why Lumenore uses Vertica to power this cutting-edge capability.
  • How ELISA successfully migrated its DWH to Vertica in record time Dec 3 2020 10:00 am UTC 60 mins
    Elina Tuominen, Service Manager, Elisa
    Elisa is a leading telecommunications provider in Finland founded in 1882. For almost 140 years Elisa has been a trailblazer in the deployment of new technologies. In 2018 Elisa launched the world's first commercial 5G NR network in the Finnish city of Tampere and in the Estonian capital of Tallinn.

    After 20 years of data warehousing of different generations and vendors also faced with an end-of-life deadline on 30 June 2020, Elisa had to select a replacement technology that is easy to implement, cost-effective, and meet all performance and integration criteria. After a thorough selection process and benchmark, Elisa embarked on a very challenging migration project with the mission to deliver a fully operational new platform in less than seven months with no impact on business reporting and operations.

    Join this webcast to hear from Elina Tuominen, Service Mgr, as she describes how she managed to turn this around and achieve “the best IT project ever”.
  • Principales razones por las que convertirse en partner de Vertica Recorded: Nov 25 2020 61 mins
    Pablo Vidal, consultor senior de preventa de Vertica
    El volumen de mercado del Big Data y Business Analytics se valoró en $ 171.39 mil millones en 2018 y se estima que alcance los $ 512.04 mil millones para 2026, creciendo a una tasa compuesta anual del 14,80% entre 2019 y 2026, según un estudio reciente publicado por Valuates Reports. ¿Está listo para convertirse en nuestro partner y aprovechar esta oportunidad de negocio?
    En Vertica, tuvimos la visión de construir, desde cero, una plataforma analítica de Big Data, de alto rendimiento, para el volumen de datos de la era actual. Ofrecemos rendimiento a escala Exabyte. Creamos funciones analíticas en la propia base de datos que satisfacen las expectativas del cliente. Nos integramos con tecnologías de código abierto y continuamos expandiendo nuestro portafolio a través de una arquitectura adaptativa y amigable con el ecosistema Big Data.
    Ponemos a nuestros clientes primero y tratamos a nuestros partners como familia. Juntos, ayudamos a las empresas a mejorar significativamente su rendimiento en la analítica del Big Data para lograr sus objetivos.
    Durante esta sesión, compartiremos nuestras ventajas competitivas clave, así como nuestros planes para cumplir con las expectativas de nuestros clientes. También describiremos las ventajas y el soporte de nuestros socios de canal.
    Agenda:
    Por qué Vertica: la carrera por un warehouse analítico unificado
    • Vertica ayuda a las empresas en su tranformación a data-driven y a que revolucionen sus industrias.
    • Por qué Big Data no es suficiente y no puede disociarse de la plataforma de análisis adecuada
    • Descubra casos de uso exitosos de Big Data Analytics: cómo nuestros clientes unifican y actúan sobre todos sus datos para lograr excelentes resultados
    • ROI del cliente de Vertica: 4.07 $ por cada $ invertido
    • Posicionamiento competitivo
    Un programa de 5 estrellas reconocido por Computer Reseller News (CNR)
  • Unify Data Analytics Recorded: Nov 17 2020 62 mins
    Featuring Neil Raden, Founder and Principal Analyst of Hired Brains and Paige Roberts, Vertica Marketing
    Natural Language Processing Augmented Analytics

    The goal of data analytics, whether business intelligence or advanced analytics like machine learning has always been to guide organizations with solid data, rather than feelings. While every company strives to be data-driven, this requires making analytics accessible to more people. What could be more accessible than asking your data a question in your own language? Tune in to learn about natural language processing, the challenges and benefits of this exciting technology, and how it can democratize data analytics, and bring business results to the next level.
  • DataOps enhances data engineering for data science at Moneysupermarket.com Recorded: Nov 17 2020 46 mins
    Dave Poole, Data Solutions Architect, Moneysupermarket Group & Paige Roberts, Open Source Relations Manager, Vertica
    Data Operations is a methodology combining technological and cultural changes to improve data usage through better collaboration and automation. At Moneysupermarket.com, the DataOps approach is critical to meet the expectations of the business. Several important Vertica features facilitate the adoption of the DataOps culture and simplify the data engineer’s journey. DataOps with Vertica gets new data to data scientists promptly, so they can deliver maximum value to their organisation.
    Join our webinar to discover why Moneysupermarket.com adopted a DataOps approach!
  • The new cool stuff in Vertica 10: Part 2 Recorded: Nov 13 2020 33 mins
    Gianluigi Vigano, Senior Architect, Vertica
    Vertica Big Data Analytics Senior Architect Gianluigi Vigano presents more of the new capabilities offered by Vertica 10, including the new management console, enhancements to security and authentication, statistics, system tables, and he gives us a look at Vertica’s improved support for complex data types.
  • The new cool stuff in Vertica 10: Part 1 Recorded: Nov 13 2020 44 mins
    Maurizio Felici, Chief Field Technologist, Vertica
    Vertica Chief Field Technologist Maurizio Felici describes some of the exciting new features of Vertica 10, including SQL functions, client drivers and configurations, projections and more, followed by a demonstration of new features offered by Vertica in Eon Mode for on-premises deployment.
  • Vertica and machine learning at scale Recorded: Nov 13 2020 39 mins
    Badr Ouali, Head of Data Science, Vertica
    Vertica data scientist Badr Ouali presents Vertica’s in-database machine learning capabilities, based on an enterprise-grade infrastructure, for fast and highly scalable analytics. Vertica’s resource isolation facilitates concurrent users, with natural segmentation of user environments, all in a familiar interface. Badr demonstrates how to perform machine learning using SQL, and incorporate the new VerticaPy library for an on-ramp to Python and analytics.
  • The Vertica Roadmap Recorded: Nov 13 2020 25 mins
    Mark Lyons, Head of Product Management
    Director of Vertica Product Management Mark Lyons presents an overview of how the Vertica product is evolving from where we are today with Vertica 10, toward support for more public and private cloud vendors to unlock hybrid deployment options. Future enhancements will include further automation and ease of use, expanded machine learning and prediction, integrations and increased interoperability with the ML ecosystem, expanded library of database functions, enhanced model management, and more.
  • How disruptors become leaders with the Vertica Unified Analytics Warehouse Recorded: Nov 13 2020 45 mins
    Fouad Teban, Head of Field Engineering
    Vertica Field Engineering Lead for EMEA, Fouad Teban, explores how Vertica is helping companies disrupt their markets and competition to become leaders in their market segments. Fouad notes Vertica’s own disruptions, which include being the market’s first columnar and MPP database, the first to offer in-database machine learning, and the first to separate compute and storage in hybrid deployments, especially those that combine on-premises, HDFS, and cloud(s). He explains how Vertica allows you to combine analytics across data lakes and enterprise data warehouses, and unify the architecture for all data stores, running on any hardware or public cloud at any scale.
  • The future of analytics and Vertica’s Unified Analytics Warehouse Recorded: Nov 13 2020 61 mins
    Chuck Bear, Chief Architect, Vertica
    Vertica’s Unified Analytics Warehouse is a consolidation of what the Vertica team has been working toward for years. In this video, Vertica chief architect Chuck Bear illustrates how Vertica has remained true to its original vision. He explores 1. complex data types, and ongoing plans to support more complex structures in the future; 2. multicloud convergence 3. analytic clusters; 4. query execution for the cloud; and 5. support for integrators (including information sharing on GitHub, Vertica Academy, and Vertica Forums).
  • The power of Vertica’s Unified Analytics Warehouse Recorded: Nov 13 2020 48 mins
    Colin Mahony, Vertica GM & Joy King, Vertica Product & Marketing VP
    In this two-part video, Vertica General Manager Colin Mahony explains how the Vertica addresses key market trends, including 1. explosive data growth; 2. use of the cloud, and 3. the growing popularity of machine learning for predictive analytics. He explores how customers are using Vertica as they exemplify these trends and meet the challenges they present. In the second half, Vertica Vice President Joy King explains the Unified Analytics Warehouse, Vertica’s mission to enable all analytics teams – with both business intelligence and data science goals – to access data wherever it lives, without excessive data movement or ETL processes.
  • How Vertica and Unified Analytics Help Telcos Predict and Manage Churn Recorded: Nov 12 2020 14 mins
    Eric Rousseau, Director - EMEA, Communications Service Providers, Vertica & Badr Ouali, Data Science Lead, Vertica
    Please tune in to hear Eric Rousseau’s and Badr Ouali’s presentation as they describe how the Vertica Unified Analytics Warehouse overcomes data siloes, so Telco teams can better access critical customer data.

    You will learn:

    •How to build a churn prediction model using the VerticaPy Python library along with random forest and logistic regression algorithms,
    •How Communication Services Providers can leverage 5G to obtain near real-time analytics from IoT devices,
    •How Vertica allows access to data where it resides, without data movement or excessive ELT activity.
  • How the Power of Cloud-Optimized Analytics is Delivering Business Outcomes Recorded: Nov 2 2020 61 mins
    DCB, Micro Focus, Pure Storage, ITC Limited, Titan, and Netcore Solutions
    Are you making plans to modernize your enterprise data warehouse? Now you can achieve highly efficient advanced analytics in a hybrid cloud & on-premises environment, and gain improved performance over cloud-only solutions. By deploying Vertica on Pure Storage FlashBlade technology, you can rapidly scale your storage resources without compromising performance.

    Vertica is a high-performance SQL unified analytics warehouse, trusted by the most data-driven organizations in the world. It transforms customer engagement while providing fraud detection, network analysis, and myriad analytical capabilities. When paired with Pure Storage FlashBlade technology, the combined solution brings these benefits to the modern enterprise data center.

    Recently, ETCIO.com and Pure Storage hosted a virtual roundtable on the subject “How the Power of Cloud-Optimized Analytics is Delivering Business Outcomes”. View this recorded event, and learn from the industry experts why data-driven organisations are relying on the Vertica & Pure platform to accelerate time to insights with a modern infrastructure.

    •Prasanna Lohar, Head Digital, DCB
    •Darren Ong, Vice President, Vertica Asia Pacific and Japan, Micro Focus
    •Sunil Chavan, Vice President, FlashBlade Sales, Pure Storage, Asia Pacific & Japan
    •Rajnish Kumar, Head of Program Data and Digital Strategy, ITC Limited
    •Krishnan Venkateswaran, CIO, Titan
    •Bijal Sanghavi, Group CTO, Netcore Solutions
  • Five Ways Analytical Platforms Are Evolving for Your Hybrid, Multi-Cloud Future Recorded: Oct 15 2020 60 mins
    Join Doug Henschen, Vice President and Principal Analyst at Constellation Research and Mike Conway CTO, Bidtellect
    Companies that are not innovating with data are in danger of being disrupted. And companies that are not at least considering the agility and flexibility of cloud options are missing a crucial path to data-driven innovation. The question is, how can organizations prepare for their cloud future without moving everything to the cloud today? And how can organizations future proof their investments, avoid both cloud lock-in and architecting for two separate (cloud and on-premises) worlds.

    Join Doug Henschen, vice president and principal analyst at Constellation Research, and Mike Conway, CTO, Bidtellect for a discussion on the trends in data-driven innovation and next-generation analytical platforms that can span multiple cloud and on-premises deployment. You’ll learn:

    • Why hybrid- and multi-cloud deployment flexibility is a must
    • How separation of compute and storage changes the economics of analytics
    • Why operationalizing data science innovation, leveraging machine learning, is crucial for business impact
    • How data lakes are evolving, requiring yet more flexibility from analytical platforms
    • Why it’s crucial to obtain scalability and performance proof points before choosing a platform
  • Top reasons why becoming a Vertica partner Recorded: Oct 15 2020 66 mins
    Erik Stalpers, Vertica Senior PreSales Consultant & Bartlomiej Niewiadomski, Vertica Partner Business Manager
    The global Big Data and Business Analytics Market size was valued at $171.39 Billion in 2018 and is projected to reach $512.04 Billion by 2026, growing at a CAGR of 14.80 percent between 2019 and 2026 according to a recent study published by Valuates Reports. Are you ready to partner with us to get your fair share of this revenue opportunity?
    At Vertica, we had the vision to build the big data analytics platform meeting speed and scale for the huge amount of data we saw coming. We deliver performance at Exabyte scale. We built in-database analytics functions meeting customer’s expectations. We integrate with open source technologies and we continue to expand our portfolio through an adaptive, ecosystem-friendly architecture.
    We put our customers first and we treat our partners as family. Together, we help companies to significantly improve their big data and analytics performances to achieve their goals.
    During this session, we will share our key competitive advantages as well as our plans to meet our customers’ expectations. We will also outline our channel partner advantages and support.
    Agenda:
    Why Vertica: The Race for Unified Analytics Warehouse
    Erik Stalpers, Vertica Senior PreSales Consultant
    • Vertica empowers companies to become data driven and disrupt their industries
    • Why Big Data is not enough and can’t be dissociated from the right analytics platform
    • Discover successful Big Data Analytics use cases – how our customers are unifying and acting on all their data to achieve great results
    • Vertica customer’s ROI: 4.07$ for every $ invested
    • Competitive positioning
    A 5-Star program recognized by Computer Reseller News (CNR)
    Bartlomiej Niewiadomski, Vertica Partner Business Manager
    • Discover our channel partner program benefits: your success is ours
    • Marketing development funds: Our investment to make you successful
    • Transparency & end to end lead generation processes
    • Team up for new partners: how to accelerate our presence
  • Vertica in Eon Mode running natively in Kubernetes Recorded: Oct 7 2020 62 mins
    Jan Soubusta, GoodData and Paige Roberts, Vertica
    Imagine a Vertica cluster running on any hardware or OS platform, scaling up and down seamlessly, and operating with zero-downtime. At GoodData, we decided to make this a reality by using the Kubernetes ecosystem. Because stateful clusters are not easily managed in Kubernetes, we implemented a custom operator with the operator SDK for Vertica running in Eon Mode. The Eon Mode implementation is running on MinIO storage, which is deployed in Kubernetes. This presentation describes our use case in detail, including the architecture and design of the solution, as well as a description of our deployment.
  • Anticiper les besoins client pour booster conversion et fidélisation Recorded: Sep 29 2020 47 mins
    Mathieu Rondeau, Directeur Marketing & Innovation, Mydral - François Guerin, Consultant Avant-Vente, Vertica
    Connaissance client 360°.

    Les chiffres de nombreuses études le montrent, le coût de l’acquisition d’un nouveau client est 5 à 7 fois plus élevé que le coût de la fidélisation. Pourtant, selon une étude de McKinsey & Company, le panier moyen d’un client fidèle (€52,50) représente près du double de celui d’un client acquis (€24,25) !

    Afin de répondre à ces deux objectifs intimement liés : acquérir et fidéliser des clients ; les entreprises doivent unifier leurs équipes ainsi qu’observer et analyser les mêmes données / KPIs.
    Dès lors, comment pousser les limites de la connaissance client ? Le combo Data hub Vertica connecté à Tableau permet de répondre à ce besoin et de converger vos data pour une vision client 360° et un pilotage en temps réel.

    Participez à notre webinar afin de découvrir :

    - Pourquoi les objectifs et équipes décousues favorisent l’attrition client ?
    - Comment pallier ce problème en remettant le client et les données au cœur de votre activité ?
    - Comment l’utilisation d’un entrepôt de données intégrant l’ensemble des besoins analytiques là où la donnée réside vous permet de rendre vos équipes plus agiles et votre entreprise plus efficace ?
    - Une démonstration concrète d’exemples de rétention et d’acquisition client via l’intégration Vertica / Tableau pour communiquer efficacement les analyses historiques et prédictives pertinentes à l’ensemble de vos équipes et accéder à des tableaux de bord en toute souplesse.

    Vous souhaitez en savoir plus sur la connaissance client ainsi que ses enjeux et avantages ? Notre Webinar est fait pour vous ! Réservez votre place dès aujourd’hui !
  • Unified Analytics: Moving Past Data Storage Chauvinism Recorded: Sep 25 2020 60 mins
    GigaOm analyst Andrew Brust, and Paige Roberts, Open Source Relations Manager at Vertica
    The webinar features GigaOm analyst Andrew Brust, and Paige Roberts, Open Source Relations Manager at Vertica

    In this 1-hour webinar, you will discover:

    Ways to align the interests of analysts, data engineers and data scientists
    The intersection between unified analytics and hybrid-/multi-cloud
    Approaches to accommodating complex data types in mainstream analytics
    How unified analytics drives comprehensive machine learning and AI
    Why Attend

    Enough is enough. Different data lives in different places for different reasons. Instead of pursuing monolithic storage, the right goal is a unified approach to analytics. Find a platform that can query all your data, integrate and co-exist with other data platforms, and factor in data science, and you’ll be sitting pretty. The storage-centric approach is unproductive, and it’s time to transcend it.

    Data lakes, data warehouses, their overlaps, rivalries, and coexistence have been discussed to the point of saturation. And yet industry players still can’t get to a resolution. Instead, everyone wants to win the storage wars. Warehouse vendors are trying to absorb the lake, lake vendors want to obviate the warehouse, and sometimes BI vendors want all the data in their local models. It seems like each platform seeks to be the definitive physical data repository.
Data Analytics without Limits
The Vertica Analytics Platform is built to handle the most demanding analytic use cases and is trusted by thousands of leading data-driven enterprises around the world, including Etsy, Bank of America, Intuit, Uber and more. Vertica delivers speed, scale and reliability on mission-critical analytics at a lower total cost of ownership than legacy systems. All based on the same powerful, unified architecture, the Vertica Analytics Platform provides you with the broadest range of deployment models, so that you have complete choice as your analytical needs evolve. Deploy Vertica on-premise, in the clouds (AWS, Azure and GCP), on Apache Hadoop, or as a hybrid model. Find more information on Vertica at www.vertica.com.

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  • Title: Data Disruptors: Build augmented analytics with NLQ and the power of a question
  • Live at: Dec 3 2020 4:00 pm
  • Presented by: Saurabh Mishra, Director Data Analytics; Varun Gaur, Director Product Management; Paige Roberts, Vertica
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