Under the Hood - Machine Learning Applied for Developers and Data Wizards
Machine Learning APIs and Services for Data-Rich Problem Solving
Machine learning is the newest frontier in big data—and developers and data scientists are embracing its potential and using it to solve big data challenges. With over sixty machine learning APIs for image recognition, face detection, prediction, recommendation, and graph and text analysis, HPE Haven OnDemand is a developer’s power-tool for applications and data analysis.
Explore the APIs, see the use cases, and dive under the hood with Haven OnDemand’s chief technical officer, Chris Goodfellow.
RecordedJun 1 201636 mins
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Styrbjörn Torbacke, Managing Director, Zoined and Dana Gardner, Principal Analyst, Interarbor Solutions
Recently Tesco went out in an Essential Retail article and defended legacy systems. “If you don’t have legacy, you are probably not in business”, said their CDO, Thomas Nielsen. So what would Vertica have to offer Retail if legacy is that good?
In this webinar we’ll look at some of the strategic areas that are transforming retail, its operations, and its interaction with the ones who call the shots – the customers. The best use of Vertica in a retailer might not necessarily be to deploy it as a replacement for any of its siloed legacy systems, but rather to provide a means to explore, analyze and visualize insights derived from several of these legacy systems.
This is exactly what Zoined, a Vertica OEM partner, does in its analytics offering. Zoined Retail & Hospitality Analytics is a cloud based SaaS product, which out of the box contains 90-95% of the metrics and KPIs used by retailers and hospitality operators to track and monitor their businesses, giving them support for smarter decisions and actions in key areas such as assortment, cross-sell and staff performance optimization, all in real time.
Styrbjörn Torbacke, the MD of Zoined will describe how Vertica allows them to combine, correlate and present operational insights in real time to relevant staff in a retail environment.
Jeff Cotrupe, Frost & Sullivan, Tibor Mozes, Arrivalist and Steve Sarsfield, HPE Vertica
Join us for this complimentary webcast and learn about trends in big data analysis for advertisers and ad agencies. We’ll show you how it’s done inside one agency and how cutting-edge advertisers rely on Vertica to fly through analysis of huge amounts of data.
This webcast will feature:
• Jeff Cotrupe, Analyst, Frost & Sullivan – talking about trends in digital advertising and how you can derive rapid analytic insights from your advertising clickstreams and campaign data
• Tibor Mozes, CTO Arrivalist – sharing his practical knowledge on how he achieved success in analyzing massive amounts of click-stream data
• Steve Sarsfield, Product Marketing Director, Vertica - sharing details on the secret sauce behind big data analytics with Vertica
See how you can use Vertica for Big Data Analytics to deliver more tangible results from your digital advertising.
Join us for this next session of “Under the Hood of Vertica” as we take a deep dive into Vertica’s integration with Apache Spark, an in-memory data processing engine.
Our technical experts will discuss Vertica’s latest support for Apache Spark version 2.1, review common use cases for each, and demonstrate how to leverage Vertica and Spark together to enable continuous, real-time processing and transformation of data streams.
Ofir Barzilay, VP R&D at Cyberbit Endpoint Detection & Dana Gardner, Principal Analyst, Interarbor Solutions
As we’ve learned from the recent WannaCry and Petya attacks, attackers can now bypass not only antivirus systems but more advanced, next-generation security systems and put large enterprises out of service. Today, detecting advanced attacks requires understanding their behavioral patterns and analyzing massive amounts of data in near real time. This can be achieved by using machine learning, behavioral analysis and big data security analytics.
Join us on this webcast and learn how Cyberbit Endpoint Detection is using next generation technologies originally developed for confidential military projects, to detect threats that outsmart conventional security solutions.
What you will learn:
-Why most organizations are vulnerable to advanced cyberattacks even after deploying security systems
-How behavioral detection and machine learning can surface a cyber threat that penetrated the organization - before damage was done.
-How you can detect zero-day attacks and accelerate response and slash SOC operation cost
-How Cyberbit uses Vertica with near real-time data ingestion and advanced data transformation from hundreds of thousands endpoints
Peter Lasne, Cloud Solutions Architect, Microsoft; Chris Daly, Client Manager, HPE Vertica; Sanjay Baronia, PMM, HPE Vertica
Join Microsoft and Vertica cloud architects for a deep dive into how data-driven organizations are applying the new Azure VM Image to optimize Vertica for high-performance analytics on the Microsoft Azure Cloud.
During this webcast, you’ll discover the wide range of use cases for Vertica’s advanced analytics. You will also learn about the new industry-leading capabilities that Azure delivers as an open, flexible, enterprise-grade cloud computing platform for Big Data analytics at scale with best practices for deploying and managing Vertica in the Azure cloud.
Alon Malki, Chief Architect, Optimal+ and Jeff Healey, Director of Product Marketing, HPE Vertica
Continuous monitoring of machine and sensor data help equipment manufacturers and service providers predict and address maintenance issues before they occur, unlocking new value for manufacturers and customers in the form of service cost reductions, new revenue opportunities, SLA adherence, operational efficiencies, reduced downtime, and more. All of these use cases are driven by analyzing terabytes to petabytes of data collected from sensors and Machine to Machine (M2M) communications.
Want to hear how you can unlock the full value of sensor and machine-generated data to optimize manufacturing processes and ensure quality output? Join Alon Malki, Chief Architect at Optimal+, and Jeff Healey, Director of Product Marketing at HPE Vertica, for the IoT Institute hosted webinar, Deploying Advanced Analytics & Manufacturing Intelligence with Optimal+ & HPE Vertica.
On this free webinar you’ll learn:
• Why HPE Vertica Analytics Platform is purpose built for IoT data
• The challenges Optimal+ faced when developing a solution for IoT analytics, and
• How Optimal+ leverages HPE Vertica to create an ideal big data architecture
Thomas Cabrol, CTO, Dataiku, Waqas Dhillon, CTO, HPE Vertica and Carlo Arioli, EMEA Marketing, HPE Vertica
Designing and deploying an effective predictive analytics model that is integrated into a company’s daily business operations can be very challenging. Data scientists often use complex machine learning models to exploit large volumes of data from multiple environments and technologies to deliver analytics that the business needs.
Join us on this webcast as we walk you through the data science journey applied to a real case and learn how you can automate the entire data science workflow.
See how the integration of Dataiku, the collaborative data science platform, and Vertica, the ultra-fast analytics database platform with built-in machine learning, can help you speed the deployment of data-intensive predictive analytics.
Learn how to:
• Design connections to existing data sources with Dataiku
• Understand your datasets with built-in charting capabilities and data pre-aggregation
• Reduce the time it takes for the data preparation phase
• Leverage the scalability and speed of Vertica
Thomas Vasen, Subscriber Experience Evangelist, Procera Networks & Dana Gardner, Principal Analyst, Interarbor Solutions
Digital Service Providers need analytics to improve their operations and to exploit new revenues streams. The higher the quality of network intelligence, the more they can differentiate on their core asset to meet their subscriber’s needs and business partner expectations. Network engineering must take critical actions on very complex systems to improve the service quality for customers, while Telco marketing needs actionable, self-service, easy analytics to exploit most effective levers to increase revenues.
Procera Networks is a 100 MUSD+ company with products serving more than 450 million subscribers in 80 tier-1 operators and 500+ enterprises around the world. Procera leverages big data and advanced analytics to build a complete service network ScoreCard with continuous measurement reports for all type of traffic from all live subscribers all the time. In this webinar, we will discuss how records are pumped into a central Vertica analytical database from a distributed Packetlogic probe setup, and aggregated up with 15 different dimensions (e.g. location, handset, customer, tier, topology, line card, VNF) to see the true impact of these dimensions on quality delivered to subscribers.
We will also discuss how Procera helps Telco companies monetize network data enabling any “consumer industry” to deliver better-personalized marketing offers based on user habits and content consumption. Procera pushes the bar on advanced analytics using Vertica to store and mine the subscribers’ behavior gathered via a Deep Packet Inspection (DPI) engine detecting 2900 unique application signatures and 294 content categories. This rich fine-granular information is used to profile subscribers in relevant “marketing personas” for highly targeted offerings. We will discuss the key critical success factor to execute monetization strategies tapping from Procera experience and the requirements of the underlying analytics platform.
Alex Glaser, Director of Development and Walter Scheib, Senior Associate, Harbor Research and Ben Smith, HPE Vertica
Data management and analytics tools will be the core enabler of new values created by the intersection of the Internet of Things (IoT), people and the physical world. However, challenges related to IoT data management and analytics are currently hindering the implementation of increasingly complex IoT applications that will drive this value.
By providing an offering that addresses these key IoT data challenges, the Vertica Analytics Platform goes far beyond fragmented and legacy systems that are simply not equipped to handle the challenges of IoT data. Harbor Research recently authored a white paper on the HPE Vertica Analytics Platform, which details how Vertica addresses the myriad challenges posed by IoT data.
Join us for this latest IoT Central webinar and you will learn:
- What is really meant by IoT data management and analytics
- Why legacy solutions are not suited to handle IoT data
- How Vertica’s key functionalities and ecosystem address the challenges of IoT data
- How equipment manufacturers and IoT platform providers can act as catalysts for delivering IoT data management and analytics solutions
Doug Henschen, VP and Principal Analyst, Constellation Research, Inc and Jeff Healey, Dir of Product Marketing, HPE Vertica
Artificial intelligence (A.I.) is the talk of the tech industry this year, but nine times out of ten what's really under the hood is machine learning. What's behind this new generation of “predictive” and "smart" analytics and why are we hearing about it now?
Join us for this webcast as we explore the emergence (or reemergence) of machine learning and "A.I.," and how data-management practices are evolving to keep up with the new speed and scale of business through continuous, streaming applications and real-time predictive capabilities.
What You Will Learn:
• How analytics are evolving from descriptive analytics to predictive and prescriptive analytics.
• Why data, compute capacity, analytic prowess and development time are crucial to machine learning success.
• Why micro-services and APIs will be crucial enablers of embedded analytics and next-generation smart apps.
• How leading firms are overcoming data science talent shortages through adoption of new technology and organizational structures.
Marco Zambardi, Product Manager Contactlab; Andrea Gioia, Partner, Quantyca; Carlo Arioli, HPE, EMEA Big Data Marketing
Contactlab provides products and services that enable brands to get the most out of their customer engagement strategies. Effective digital communications must be both scalable and personalized with the ability to reach potential and existing customers anywhere, at any time, through multiple channels.
Contactplan enables marketers to precisely define the best audience for their marketing campaigns exploiting, thanks to HPE Vertica, all demographic and behavioral data in real time and then applying tailored delivery plans to them, all with no technical know-how requirements for the campaign managers.
The webinar will discuss how brands can improve campaign effectiveness with behavioral data, the benefits of real-time analytics for brand managers and the lessons learnt by Quantyca, the solution integrator partner of Contaclab, on key design principles and most performing architectures for customer analytics leveraging the speed and advanced “in-database” analytics of HPE Vertica.
Jones Lukose, Information Management Officer, International Criminal Court
Microsoft® SharePoint sites have become a dumping ground for enterprise and customer information. This practice, compounded over time, compromises your investment in SharePoint, minimizes productivity and can even result in the risk of failing to comply with internal and external regulations (GDPR). Join us to learn how HPE
ControlPoint can help you clean up your SharePoint sites and regain control of your data.
Emon Haque, Anritsu, Product Manager - Analytics & Big Data and Carlo Arioli, EMEA Big Data Marketing Manager, HPE
In the last few years, telecommunications networks have experienced exponential increase in data volume, while the expected response time for analysis on those data volumes have experienced a similarly exponential decrease. Within half a decade or so, telecommunication networks have gone from Gigabytes of data and sub-minute response time to Exabytes of data and sub-second response time! At Anritsu, with the help of HPE Vertica, real time, predictive, multi-dimensional analytics solutions have been designed which are ensuring customer experience and service assurance for over 1 billion telecommunication subscribers world-wide. Join us to find out more about this innovative solution from Anritsu which utilizes the field proven, extensive analytics capabilities of HPE Vertica.
Gagan Bhatia, HPE Product Marketing Manager and Ali ElKortobi, Director, IM&G Product Management
Attend this webinar to learn how HPE’s application retirement solution can help reduce the overall recurring cost of managing legacy PeopleSoft instances by up to 40%.
The costs of licensing, operational, and skilled resources in maintaining legacy PeopleSoft environments can reach hundreds of thousands of dollars each year. In addition to these costs, organizations expose themselves to various security and privacy risks associated with the improper management of employee data stored in these inactive systems.
With HPE’s application retirement and archiving solution, you can retire multiple PeopleSoft instances while retaining seamless access to the historical data for compliance and reporting. Built on HPE’s market leading Structured Data Manager platform that relocates inactive data from expensive tier 1 production systems and legacy databases while preserving data integrity and access, you can be confident that the solution is scalable, flexible and secure.
Join us to hear more about how HPE Structured Data Manager for PeopleSoft Enterprise can help you simplify the retirement of legacy PeopleSoft instances and reduce the cost, complexity and risks associated with managing legacy applications and data.
You can’t talk about big data today without hearing about Hadoop. For many people, Hadoop is synonymous with big data, but it’s not necessarily the best tool for every use case and every project. Before committing to it, businesses need to ignore the hype, look at their needs, and determine if and where Hadoop fits into their big data initiatives.
Join Bill Theisinger, vice president of engineering for platform data services at YP(sm), formerly known as YellowPages.com, to hear how his company is maximizing the value they get from Hadoop by supplementing it with HPE Vertica, an analytical database.
In this webcast, you’ll learn:
• The benefits and drawbacks of using Hadoop
• Where Hadoop can fit into big data initiatives
• How to supplement Hadoop with an analytical database
Nikolay Golov, Data Warehouse Architect, Avito and Carlo Arioli, Big Data Marketing Manager, HPE
Avito, based in Moscow, is Russia’s fastest growing e-commerce site and portal. It uses Big Data technology to monitor and improve the placement of advertisements, and to better understand how their users are adapting to online business.
In this webinar, Nikolay Golov, Data Warehouse Architect at Avito, who has over 10 years’ experience for banks, retail and e-commerce, will share the lessons they have learned when implementing and expanding their HPE Vertica-based analytics infrastructure over the past 4 years.
This will include identifying the risks and demonstrating how those risks can be efficiently and effectively overcome with the right technology stack: HPE Vertica, which processes data from dozens of heterogeneous data sources and monetizes it through Machine Learning.
Stefan Sommer, Director Enterprise Integrations, Adform and Carlo Arioli, Big Data Marketing Manager, HPE
Over 10.000 large advertisers rely daily on Adform global advertising infrastructure to create millions of personalized experiences for top brands across websites, mobiles and digital media. The supporting platform handles over a million requests per second, each of which requires complex statistics, modeling and decisions to be calculated on a large number of datasets including each user’s digital journey touchpoints, CRM data and 3rd party demographic profiles. Vertica Analytic Database is making this possible using the best of open-source innovation from Hadoop, Kafka and Spark with the simplicity of SQL.
Stefan Sommer is responsible for Data at Adform and will deep dive into how it all works, performs and scales on more than 1000 servers distributed globally with emphasis on Vertica which has been at the core for several years.
• Discover how Adform analyzes users’ insights and delivers an advanced web experience in real time
• Learn how the Vertica Analytical Database simplifies scoring of advanced machine learning models for CRM applications in nano seconds from data stored on Hadoop
• Get answers to your own questions during the live Q&A
Mike Gualtieri, VP and Principal Analyst, Forrester and Steve Sarsfield, product evangelist, HPE Vertica
An explosion of Big Data is rapidly changing the IT landscape. While Big Data generates vast opportunities for new sources of revenue, customer insights and operational efficiencies, it also creates new challenges for existing data infrastructure. To keep up with this explosion and capitalize on new data-driven business opportunities, enterprises must select a data analytics architecture that fits the specific needs of their business and the structure of their data.
Join us for our latest Data Science Central Webinar with guest speakers Mike Gualtieri, VP and Principal Analyst at Forrester, and Steve Sarsfield, product evangelist and spokesperson for HPE Vertica, while they discuss a newly commissioned study on enterprises that select the correct mix of analytical engines and the best database for each job. They will review:
• How a diversity of analytical engines can drive greater ROI
• Which databases have distinct capabilities and “sweet spots”
• Why no one database can do it all
Janne Kallio, Digital Lead, Performance Business, Suunto and Carlo Arioli, Big Data Marketing Manager, HPE
Suunto, owned by Amer Sports, is enriching the customer engagement from hi-end extreme sport watches and outdoor instruments to a full digital experience composed by self-service analytics over their sport competition and training session data. Mining wearables to give real-time answers to sport and fitness fans requires cost-effective, extremely fast IoT Analytics at very large scale.
Suunto runs Vertica to enable a multichannel experience over watches, mobile apps and their brand new Movescount.com website, where users can log everything and compare their performance instantly with peers to enable virtual competitions.
Suunto selected the Vertica Analytic database to cope with ingesting and analyzing the massive data from customers and feeding results back to downstream systems via REST APIs in real-time. The cost-effective analytical database also helped to cope with a variety of challenges to support Suunto cloud services managing over 50 different types of devices and 50 application partners for vertical sport apps.
• Discover how companies are using IoT analytics to enrich their products with online services from wearables data to excel at customer engagement and brand differentiation
• Learn why Vertica is different for IoT Analytics and why it is chosen by New Economy leaders for connected devices
• Get answers to your own questions during the live Q&A
Jake Dolezal, Practice Leader, Analytics, McKnight Consulting Group and Sanjay Baronia, Product marketing Manage, HPE Vertica
Two distinct trends are converging! Cloud is proving immensely useful in providing elastic, measurable, on-demand and self-service resources to organizations of all sizes. The uptake in 2016 has been phenomenal, continuing the biggest transformation that technology professionals will experience in their careers. Also, data-driven organizations are relying even more than before on analytical databases to load, store, and analyze volumes of data at high speed to derive timely insights.
A benchmark study was conducted to assess query performance and concurrency impact of HPE Vertica and AWS RedShift running in the Cloud. The benchmark (expanding upon UC Berkeley’s Big Data Benchmark) simulated scenarios to answer fundamental business questions that every enterprise might encounter and ask.
In this webinar, we will discuss the results and key takeaways of the benchmark. We will also uncover, how to achieve high-performance and scalable analytics in the cloud and augment current, on-premises platforms—in a cost-effective manner.
HPE Vertica is the fastest, advanced SQL analytics database, available on-premise, on Hadoop, and multiple clouds. With tight integration with open-source technologies such as Hadoop, Kafka, and Spark, and complementary offerings through an ecosystem-friendly architecture, HPE Vertica delivers highest performance at extreme scale. HPE Vertica. Built for fast. Built for freedom.