Welcome to the big data and data management community on BrightTALK. Join thousands of data quality engineers, data scientists, database administrators and other professionals to find more information about the hottest topics affecting your data. Subscribe now to learn about efficiently storing, optimizing a complex infrastructure, developing governing policies, ensuring data quality and analyzing data to make better informed decisions. Join the conversation by watching live and on-demand webinars and take the opportunity to interact with top experts and thought leaders in the field.
Richard Tibbetts - Product Manager, AI, Tableau | Kris Skrinak - Machine Learning Lead, AWSRecorded: Feb 20 201957 mins
The promise of artificial intelligence (AI) is that machines will help humans make better decisions. In some cases decisions are automated away; in other cases humans collaborate with AI to make the best decisions. In all cases, people need to understand what machines are doing, to avoid mistakes, to make ethical decisions, and to understand their data.
Gartner research indicates “85% of CIOs will be piloting artificial intelligence programs through a combination of buy, build, and outsource efforts.” But as organisations become more reliant on AI and machine learning models, how can humans be sure they are receiving trustworthy answers to the right questions?
Attend this webinar to hear directly from the developers at Tableau who lead our investments in AI and learn about our plans to partner with AWS.
Helen Kinsella, Senior Product Specialist, InformaticaRecorded: Feb 20 201942 mins
Data landscapes are changing constantly, and data is exploding. Companies have ambitious plans to expand and disrupt markets based on data. Business users want answers to many complex business questions.
However, finding the right data is not a trivial task.
No matter how modern your modern analytics platform is, unless your business users can find, trust, understand the context of, and quickly leverage their data assets throughout the enterprise, your analytics modernization initiative will probably deliver underwhelming results.
Data cataloging is an essential component for a modern analytics initiative, supporting self-service discovery and access to data.
Join this webinar to
•Hear how Informatica Enterprise Data Catalog enables both business and IT users to discover, understand, curate, and manage all data assets across the enterprise.
•See an AI-powered data catalog in action
•Find out what your next steps might be to accelerate your data-driven digital transformation through data insights and decisions based on trustworthy and relevant data
Henry Peyret, Forrester Research analystRecorded: Feb 19 201944 mins
In today’s digital world, businesses must rapidly disrupt, integrate and adapt to changing business requirements with greater agility to improve customer loyalty and create sustainable competitive advantage. They need an agile integration platform that will accelerate their Digital Transformation initiatives.
In this presentation, Henry Peyret, Forrester analyst and our guest speaker will share his views on Integration Market trends and the requirements for Dynamic Integration Platforms.
Ben Bromhead, CTO and Co-Founder, InstaclustrRecorded: Feb 19 201952 mins
In this session, Ben Bromhead, CTO of Instaclustr will provide a base level introduction to some of the technologies and design patterns used to build out scalable and resilient applications. This webinar will be aimed at an introductory level. The technologies we will cover include:
We will cover when you should use these technologies and key considerations when choosing these technologies for your application architecture. In addition, we will touch on different architecture options when combining these leading open source technologies into an overall solution. We will also discuss how to use the technologies in a resilient and scalable way and real-world application patterns such as IoT, social apps and consumer services.
Sarah Beaudoin, Product Marketing Manager, DruvaRecorded: Feb 19 201944 mins
As organizations continue to migrate to Office 365 for their email, productivity and collaboration tools, they’re quickly realizing that Office 365’s native capabilities do not provide the essential data protection capabilities they need.
Join us for a technical webinar on Tuesday, August 21st at 3PM SGT/ 5PM AEST and learn best practices for safeguarding your Office 365 data, including:
- Gaps within OneDrive, Exchange Online and SharePoint Online that lead to increased risk of data loss
- How a third party backup solution can automate data protection and ensure data recoverability from user error, malicious behavior or malware
- How to build a data management strategy for the future that leverages the cloud and improves alignment with organizational policies and SLAs
Andrew Beers - CTO, Tableau. Andy Cotgreave - Technical Evangelist - Tableau. Ellie Fields - VP of Product Marketing, TableauRecorded: Feb 19 201961 mins
Keeping up with the rapid pace of change in the BI ecosystem gets more challenging every year. To identify the 10 most influential BI trends for 2019 we interviewed a variety of customers, Tableau staff, and data experts.
Join this fascinating webinar to get an overview of all 10 trends:
*The rise of explainable AI.
*Natural language humanises your data.
*Actionable analytics put data in context.
*Data collaborative's amplify social good impact.
*Codes of ethics catch up to data.
*Data management converges with modern BI platforms.
*Data storytelling is the new language of corporations.
*Enterprises get smarter about analytics adoption.
*Data democracy elevates the data scientist.
*Accelerated cloud data migration fuels modern BI adoption.
Marco Kopp, Senior Consultant Sales EngineerRecorded: Feb 19 201943 mins
Die Implementierung kritischer maschineller lernbasierter Business Applikationen, von Know Your Customer (KYC) über Anti-Geldwäsche (AML) bis hin zur Betrugserkennung, ist schwierig, wenn Daten falsch, unvollständig, schlecht formatiert oder aus vielen verschiedenen Quellen stammen.
Modelle des Machine Learning benötigen große Mengen an zuverlässigen, aktuellen und sauberen Daten, um ihre Arbeit zu leisten. Der Aufbau von Datenbereinigungs- und Entitätslösungsprozessen auf Big Data Plattformen wie Hadoop und Spark ist kein Kinderspiel. Wenn Modelle endlich in die Praxis umgesetzt werden, sind die Daten schnell veraltet. Wie also halten Sie die Daten in Ihrem Cluster zuverlässig mit den transaktionalen Quellsystemen in der Produktion synchron?
Erfahren Sie in diesem Webinar, wie die wichtigsten Herausforderungen des Machine Learning, selbst in einigen der schwierigsten Anwendungsfälle, durch Echtzeit-Datenintegration und skalierbare Datenqualität bewältigt werden können
Richard Tibbetts (Principal Product Manager, AI, Tableau), Kris Skrinak (Machine Learning Segment Lead, AWS)Recorded: Feb 15 201957 mins
The promise of artificial intelligence (AI) is that machines will help humans make better decisions. In some cases decisions are automated away; in other cases humans collaborate with AI to make the best decisions. In all cases, people need to understand what machines are doing, to avoid mistakes, to make ethical decisions, and to understand their data.
Watch this webinar to hear directly from the engineering team at Tableau who lead our investments in AI and learn about our plans to partner with AWS.
Priya Shivakumar, Director of Product, Confluent + Ryan Lippert, Product Marketing, Google CloudRecorded: Feb 14 201957 mins
Most companies start their cloud journey with a new use case, or a new application. Sometimes these applications can run independently in the cloud, but often times they need data from the on premises datacenter. Existing applications will slowly migrate, but will need a strategy and the technology to enable a multi-year migration.
In this session, we will share how companies around the world are using Confluent Cloud, a fully managed Apache Kafka® service, to migrate to Google Cloud Platform. By implementing a central-pipeline architecture using Apache Kafka to sync on-prem and cloud deployments, companies can accelerate migration times and reduce costs.
Register now to learn:
-How to take the first step in migrating to GCP
-How to reliably sync your on premises applications using a persistent bridge to cloud
-How Confluent Cloud can make this daunting task simple, reliable and performant
Richard McCormack, Head of Product Solutions at Fujitsu, joins Bill Borsari, Systems Architect Director at DateraRecorded: Feb 14 201956 mins
Discover the architecture behind high-performance storage with Datera data automation on Fujitsu PRIMERGY servers.
Datera is the only true, software-driven data services platform that:
•Powers modern application environments at global scale
•Provides game-changing data orchestration and automation with enterprise-class performance
•Joint solution takes full advantage of the performance, security and reliability of Fujitsu PRIMERGY servers
•Delivers up to 70% lower total cost of ownership and operation compared to traditional solutions
Richard McCormack, Head of Product Solutions at Fujitsu, joins Bill Borsari, Systems Architect Director at Datera, to share how Datera and Fujitsu PRIMERGY systems are leading the software-defined revolution by providing the most powerful and flexible data center innovations across a vast ecosystem of solutions to turn your IT into a business advantage.
Shimon Oren, Deep Instinct; Jared Peck, Financial Services; Rob Armstrong; Colossal Technologies, LLC; B. Dunlap (Moderator)Recorded: Feb 14 201959 mins
Cyber-attacks and the threat actors behind them are becoming more and more sophisticated. Today’s attackers adopt existing techniques, modify them and develop new capabilities much faster than ever before. This translates not only to more attacks, but also to a bigger share of attacks which are highly evasive and stealthy, and inevitably more challenging to prevent or detect over-time. How does an organization stay up-to-speed with the varied attacks that are aimed at them? Join Deep Instinct and (ISC)2 on February 14, 2019 at 1:00PM Eastern when we’ll review several common and emerging evasion techniques in today’s threat-landscape and discuss the best avenues to counter them in terms of technology and cost-effectiveness.
Dave Hiechel, Eagle Technologies and Greg Bennett, CommvaultRecorded: Feb 14 201930 mins
Backup and recovery has become increasingly complex due to the continued exponential growth of data and the need to protect it across physical, virtual, endpoint, and cloud environments. In response, IT has implemented solutions to address each of these use cases. But what started out as a noble effort to protect data with ‘optimized’ solutions has morphed into a convoluted mess of point products, each with its own interface, capabilities, and hardware and software infrastructure. These data silos increase complexity and make recovery challenging. Bottom line, this is unsustainable.
You need a complete solution that can address each of these uses cases without increasing complexity in your environment. In this webinar, you’ll learn how Commvault Complete Backup & Recovery:
- significantly reduces your management complexity
- improves operational efficiency
- lowers costs vs. managing multiple point products so you can focus your valuable IT resources on more strategic initiatives
Ahyoung An, Sr. Product Marketing Manager at MuleSoft and Sundip Patel, Product Manager at MuleSoftRecorded: Feb 14 201945 mins
This session covers how Anypoint Runtime Fabric provides greater flexibility and simplifies operations––enabling enterprises to transform their businesses faster using public, private, or hybrid clouds.
Watch this webinar to learn how to:
- Manage deployments in multiple clouds––all from Anypoint Platform’s cloud-based control plane, hosted by MuleSoft
- Isolate applications, deploy multiple runtime versions in the same Anypoint Runtime Fabric, scale horizontally, and re-deploy with zero downtime
- Eliminate manual tasks and optimize processes with an easy-to-use container service that offers built-in support for Docker and Kubernetes
Maurice Flynn, Director of Data Science, The FF FoundationRecorded: Feb 14 201953 mins
AI attracts a lot of attention today and the advances are usually driven by machine and/or deep learning. However the tools that most use in this space require specialist (technical & data) skills. Fortunately a new generation of tools are emerging that aim make AI available to all. Im a big believer and supporter of this trend. In this session I take you through the tools and techniques that are making AI capabilities more easily available to billions of ordinary folk worldwide.
Dr. Martin Hebach, Senior Solution Architect, Informatica |Dagmar Hillmeister-Müller, Data Governance Specialist, InformaticaRecorded: Feb 14 201951 mins
Unternehmensdaten erhalten durch die fortschreitende Digitalisierung von Geschäftsprozessen, die bereichsübergreifende Nutzung und Compliance Anforderungen einen immer höheren Stellenwert. Ein zentraler Katalog, der automatisiert gepflegt und aktualisiert ist, bildet die Basis um Daten zu finden und ihre Herkunft und Verwendung transparent zu machen. Ergänzt um Informationen über Verwendungszwecke, wer warum auf welche Daten Zugriff hat und wie die Daten prozessiert werden, können auch Compliance Anforderungen erfüllt werden.
Pünktlich zum Valentinstag stellen wir Ihnen ein besonderes Paar vor: der Informatica Enterprise Datenkatalog (EDC) kombiniert mit der Data Governance Lösung Informatica Axon bringen Schwung ins Datenkuddelmuddel. Wir zeigen Ihnen anhand interessanter Use Cases, wie Sie ihre Daten finden und verstehen können und welche regulatorischen Anforderungen wie und durch wen erfüllt werden.
Salil Amonkar, Global Head of Manufacturing and Ai-ML Practice, Pluto7Recorded: Feb 13 201949 mins
In this webinar we will showcase how Google Cloud Platform and its Big Data processing, IOT sensor connectivity and Tensorflow based state of the art machine learning can be used to predict failures and more importantly extend the life of the production equipment leading to break through innovation in production automation and significantly improving productivity and manufacturing flexibility.
About the speaker:
Salil Amonkar, Global Head of Manufacturing and Ai-ML Practice, Pluto7
Thought Leadership in Digital Business Transformation, Cloud and Saas Solution, Data driven Analytics, Value Chain/Supply Chain and Ai and Machine Learning
Overall 25+ years expertise in innovative business transformation services for Value Chain/Supply Chain and Manufacturing, CPG, High Technology and related Industries.
Implemented solutions leveraging multiple technologies, Cloud, SaaS, Hybrid architectures leveraging advanced and predictive analytics using data sciences, AI and machine learning for Sales and Marketing, Services, Quote to Cash and Supply Chain.
Have led several business transformational initiatives for Large Enterprise customers such as ABinBev(Anheuser Busch) Cisco, General Electric, IBM, Vodafone, General Motors, Tata Motors and many others.
Dr. Anya Rumyantseva, Data Scientist, Solution EngineeringRecorded: Feb 13 201939 mins
The transition from descriptive to predictive & prescriptive analytics is speeding up across digitally native industries, while more traditional industries are lagging behind. This transition often requires usage of machine learning techniques and a variety of data formats. Many companies find it difficult to complete. In this webinar, we review barriers for implementation, best practices, interesting use cases and success stories coming from steel and oil industries. Also, we will show how IoT data can be used to predict health problems of cows at farms. Moooving to cutting-edge analytics is possible for everyone!
Aashish Majethia, Senior Solutions EngineerRecorded: Feb 13 201938 mins
Analysts need timely access to enterprise data in order to stay competitive in today’s rapidly changing environment. Typically, business users need to request access through the IT department, which can be a waiting game, either because of technological roadblocks, governance restrictions or both. This adds more work, more process, and more frustration on both sides. Having the ability to find data sets, examine, update, and provision the data themselves allows business users to move quickly and frees IT to work on higher priority items.
A modern data platform should provide a self-service data marketplace that gives right-sized governed access to data. The security permissions allow IT to define who needs access to the correct data at the appropriate stage of the data pipeline. This becomes quite complicated in regulated environments. Users should be able to search for data they have access to, explore and potentially update the metadata associated, and provision it into a sandbox when ready.
Join us as Aashish Majethia, a Senior Solutions Engineer, dives into the self-service data marketplace and what is required to make it successful. He will cover topics including:
- Self-service data preparation
- Governance considerations and how they can enable a more agile data-driven enterprise
Jacque Istok, Head of Data, Pivotal and Kelly Carrigan, Principal Consultant, EON CollectiveRecorded: Feb 13 201959 mins
This webinar is for IT professionals who have devoted considerable time and effort growing their careers in and around the Netezza platform.
We’ll explore the architectural similarities and technical specifics of what makes the open source Greenplum Database a logical next step for those IT professionals wishing to leverage their MPP experience with a PostgreSQL-based database.
As the Netezza DBMS faces a significant end-of-support milestone, leveraging an open source, infrastructure-agnostic replacement that has a similar architecture will help avoid a costly migration to either a different architecture or another proprietary alternative.
Gustavo Sanchez, Co-Founder Pandata TechRecorded: Feb 13 201944 mins
Deep dive into the ways machine learning and AI are becoming mainstream and enhancing analytics solutions and insights.
The talk would aim to de-mystify AI and show that it has been mainstream for longer than we think at different levels of sophistication. Defining AI is the first step in understanding it. Understanding the tools and uses helps make it less intimidating. And knowing it is democratized allows anyone to work in AI. We would walk through real world examples of AI used for leisure, everyday work tasks, and move on to more sophisticated industry uses. All examples keeping in mind best practices to control the AI, which can be a fickle thing when left unchecked.
Dr. Umesh Hodeghatta, Chief Data Scientist and Umesha Navak, CEO, N-U Sigma Analytics LabRecorded: Feb 13 201964 mins
Artificial Intelligence (AI), Machine Learning, Deep Learning are the buzz words across the globe today. Businesses as well as common people are trying to make out, if it is hype or not. While there is a hope there is also gloom somewhere, as far as AI is concerned.
In this session Dr. Umesh Hodeghatta Rao and Mr. Umesha Nayak will explain how AI and Machine learning algorithms can be applied to some of the day to day activities we do and how it can improve the quality of our lives. The speakers will walk you through some of the real-world examples in healthcare, transportation & automotive, business & commerce and education including those on strategizing the business. They will also talk about the challenges in implementing AI/Machine Learning and circumstances under which AI applications will normally be successful compared to when they are likely to be unsuccessful.
Jeff Cherrington, VP, Product Management, Systems, ASG TechnologiesRecorded: Feb 13 201947 mins
Technology serves business and people. Business serves people - not technology. Having a perfectly tuned mainframe, server, virtual, or cloud technology stack won’t provide your business with value – only the ability to leverage the technology to focus on business outcomes will add that insight.
As Gartner wrote in its Insights from the 2018 CIO Agenda Report, “The CIO role is changing from IT-outcome-focused to business-outcome-focused." Does your enterprise support this view?
In this session, find out what you should be looking for from software products and the vendors supplying them to ensure you can focus on mission critical processes, and less on the underlying technology.
Lonny Northrup, Sr. Health Informaticist, Intermountain HealthcareRecorded: Feb 13 201961 mins
Progressing from decades of data and analytics work to improve healthcare outcomes, Intermountain Healthcare is moving to a new generation of analytics driven by machine learning and augmented intelligence. Our analytics maturity has progressed along this continuum:
Descriptive (what happened)
Diagnostic (why it happened)
Predictive (what is likely to happen)
Prescriptive (what should we do)
Personalized (what should “I” do)
Learn how personalized analytics in healthcare is improving patient satisfaction and success, reducing readmissions and clinical utilization and helping people to live the healthiest lives possible.
Florian Douetteau, CEO of Dataiku and Erin Junio, Content Manager at BrightTALKRecorded: Feb 13 201948 mins
This webinar is part of BrightTALK's Ask the Expert series.
Florian is the Chief Executive Officer of Dataiku. Florian started his career at Exalead, an innovative search engine technology company. There, he led a R&D team of 50 brilliant data geeks, until the company was bought by Dassault Systemes in 2010 for $150 million. Florian was then CTO at IsCool, a European leader in social gaming, where he managed game analytics and one of the biggest European cloud setup. Florian also served as freelance Lead Data Scientist in various companies, such as Criteo, the European Advertising leader.
Andrew Richardson, Elite SEM & Matt Hertig, Alight AnalyticsFeb 20 20195:00 pmUTC60 mins
Ready to build a marketing analytics practice that delivers powerful insights and lightning-fast reporting — and ultimately boosts your revenue?
In this webinar, you’ll hear from Elite SEM’s Andrew Richardson how Elite, one of the nation’s largest digital agencies, has streamlined and evolved its analytics — and how that’s allowed them to achieve even greater results for its clients.
And you’ll discover a proven framework for advancing your own marketing analytics practice, courtesy of Alight Analytics’ Matt Hertig.
John Armstrong, Head of Product Marketing, PepperdataFeb 20 20196:00 pmUTC30 mins
For most enterprises, APM is considered an essential element of IT operations, bridging production and development with IT and digital business. As companies invest in new technology and projects in their digital transformation journeys, it’s critical to understand the ROI value of those investments.
This webinar will look at eight ROI benefits of APM — both financial and non-financial — that organizations need to consider when evaluating APM solutions. These include increased developer productivity, reducing downtime, improving business continuity and more.
Attendees will learn:
- 8 elements to consider when assessing APM solutions
- How to evaluate financial and non-financial benefits to technology solutions
- How leading organizations measure ROI, often through hard lessons learned
Monica Mullen, Principal Solutions Marketing Manager, MDM & Prash Chandramohan, Director, Product MarketingFeb 20 20197:00 pmUTC60 mins
It doesn’t matter if you’re a company with $50 billion in revenues or $50 million, you probably have data everywhere. Data is at the heart of companies of all sizes and across all industries around the globe. And for a growing business of any size, a trusted 360 view of data plays a critical role in productivity, providing business context, improving analytical insights, and creating the customer experiences you want to deliver.
Many companies have realized that reaching their goals is faster with an end-to-end data strategy that includes master data management (MDM). But what is MDM exactly?
Providing a ‘new to MDM point of view,’ join Monica Mullen and Prash Chandramohan of Informatica as they discuss MDM, what it is, and how you can be successful. You’ll learn:
•The power of a single source of truth and 360 view of data
•What MDM is and does, in terms the business would understand
•An approach to starting small with configuration-based MDM for any budget size
As data privacy has risen in prominence, consumers are more cautious than ever about sharing data. This, in turn, affects how businesses approach data monetisation, collection, and sharing. And with new regulations like GDPR, organisations are faced with crucial questions around data ethics and privacy in the context of their day-to-day business practices.
Attend this webinar where we’ll delve into these 3 key areas:
*Data management and processes around data
In this session, Ben Bromhead, CTO of Instaclustr will provide a base level introduction to some of the technologies and design patterns used to build out scalable and resilient applications.
This webinar will cover:
• When you should use these technologies and key considerations.
• Different architecture options when combining these leading open source technologies.
• How to use the technologies in a resilient and scalable way and real-world application patterns such as IoT, social apps and consumer services.
Larry Romireo at EFCO Corporation & Giacomo Lorenzin, Managing Director, Direct Solutions at BackOffice AssociatesFeb 21 20193:00 pmUTC45 mins
There is a growing demand for high-speed analytic database systems and platforms where data can be processed at lightning speed for business decision-making. However, is that data up-to-date? If the process to update that data is batch or overnight, the data delivery may be fast, but the information may be outdated which can result in error-prone reporting and ineffective (or disastrous) business decisions.
For successful analytics it’s important to move data in real time from multiple systems, including legacy databases, so that combined data can be properly presented in a uniform way.
Change Data Capture is a technology employed in the best data replication solutions to minimize the amount of time and resources necessary to update data changes from one system to another. By propagating only what’s changed since the last check on the source system, minimal data is passed between systems in order to ensure identical copies of data on both source and target.
Change Data Capture is frequently used to select and update copies of key data for operational reasons such as maintaining activity on separate systems that interact externally with customers or vendors, or remote systems that interact with corporate databases. However, it is also useful to maintain freshly updated data in systems that are used extensively for non-transactional activity, such as for analysis, reporting and data warehousing.
1.Retrieving information from any source database for your analytic system
2.Specialized and configured support to load data into the analytic system
3.Automatically prepare and map the data between systems, saving time and resources
4.Best-in-class process to automatically and continuously update data
5.Change Data Capture saves time, money and effort through efficient and cost-effective technology
Join us as we continue this series of webinars specifically designed for the community by the community with the goal to share knowledge, spark innovation, and further build and link the relationships within our HPCC Systems community.
Featured speakers include:
Adwait Joshi, CEO DataSeers - HPCC Systems - An IoT use case for Payments
Traditionally we all have used Thor for data processing and ROXIE indexes for data pulls. Think about using ROXIE for a data ingest and Thor directly pulling data into the back end repository. This talk will explain about how DataSeers has designed a realtime transaction monitoring system using HPCC Systems, Kafka, ElasticSearch and MySQL pushing the envelope for a typical use case. Learn the roadblocks we encountered, how we worked around them, and how we hardened the system to be truly disaster resistant with all open source technologies.
Yanrui Ma, Software Architect, LexisNexis Risk Solutions - Dynamic ESDL Has Become More Dynamic In 7.0
In this talk, Yanrui will talk about some of the major changes with Dynamic ESDL in 7.0, with a focus on the mechanisms and enhancements that have made it even more dynamic. He’ll give a demo of creating a DESDL service with the improved “esdl” command line to show you how easy and quick it can be. He’ll also go over DESDL related ECL Watch changes in 7.0, and some of the upcoming DESDL features.
Bob Foreman, Senior Software Engineer, HPCC Systems, LexisNexis Risk Solutions - ECL Tip: All About the ECL SET
This month’s ECL Tip spotlights the ECL SET definition, value type, and other supported functions that use it. Several code examples and best practices will be demonstrated.
Join this webinar on Thursday 21 February to learn how 5G will transform the way content is created, produced and distributed.
More than just a faster mobile data connection, 5G reinvents connectivity. The technology enables new types of remote productions, and coverage of more live events, news and sports in higher 4K/HDR quality, and will revolutionise the way consumers receive content, combining broadcast, OTT and data to create a seamless experience regardless of network or device.
That's the theory - but how is 5G being deployed in practice? What are the early adopters doing, and what results are they achieving?
This webinar will explore a series of exciting use cases for 5G with hands-on case studies, including:
- Enriching production and storytelling
- Revitalising newsgathering and live event coverage
- Blending broadcast and live data for mobile audiences in the European 5G-Xcast project
- Dr Jordi Gimenez, 5G research engineer & project manager, IRT Germany
- Matt Stagg, Director of mobile strategy, BT Sport
- Marios Nicolaou, 5G and digital transformation senior strategy advisor
Chris Tinker, Chief Technologist, HPE and Hal Woods, CTO, DateraFeb 21 20195:00 pmUTC105 mins
Chris Tinker, Chief Technologist at Hewlett Packard Enterprise joins Hal Woods, CTO at Datera to discuss some of the leading technologies in the Software Defined Revolution, and how HPE and Datera help cultivate the vast ecosystem of solutions.
Data is at the center of the Software Defined Data Center, where Datera reimagined enterprise storage and partnered with HPE to deliver a complete solution.
What you will learn from this webinar:
• Architecting your data center for high-performance
• Ease of deployment and management
• Advanced automation and future-ready choice to orchestrate data for VMs
Andrew Bragdon, Principal Product Manager, MuleSoft and Sanjna Verma, Product Marketing Manager, MuleSoftFeb 21 20195:00 pmUTC50 mins
On average, a business supporting digital transactions now crosses 35 backend systems — and legacy tools haven’t been able to keep up. This session will cover how MuleSoft’s new monitoring and diagnostic solutions provide end-to-end actionable visibility to APIs and integrations to help customers identify and resolve issues quickly.
- Measure application performance across APIs and integrations in production
- How to query and retrieve log data across your network
- End-to-end walkthrough of priority issue identification and resolution
- Exciting new capabilities of Anypoint Monitoring
Seth Earley, CEO, Earley Information Science & Enid Martinez, Senior Director of Engineering and Automation, ADPFeb 21 20196:00 pmUTC60 mins
ADP shares their successes in harnessing AI to drive engagement and information sharing with customers.
The age of customer-driven, Artificial Intelligence (AI)-powered enterprises is here, and B2B/B2C companies are beginning to harness its value. Yet, while many companies are considering AI initiatives, few are provided with a clear roadmap and best practices to evaluate, develop, implement, and measure the impact of their efforts.
Join Seth Earley, Founder and CEO, Earley Information Science and special guest Enid Martinez, Senior Director of Engineering and Automation, ADP, for "Why AI? A Case Study with ADP."
Topics they will cover include:
**The business drivers considered when evaluating AI for ADP
**Best practices in building the initial project plan
**Tips to overcome roadblocks and pitfalls to avoid
**Lessons learned when implementing a large-scale AI initiative
James Clampffer and Anatoli Shein, VerticaFeb 21 20196:00 pmUTC60 mins
If you use Vertica, you already know that it’s a high-performance MPP analytical database. But, did you know that Vertica is also a highly performant query engine?
Join us for this Webcast to learn how Vertica for SQL on Hadoop offers the fastest and most enterprise-ready way to perform SQL queries on your Hadoop data. We’ve leveraged our years of experience in Big Data analytics and opened up our platform to use the full power of the Hadoop cluster.
In this webcast, you’ll learn to take advantage of our open source contributions to the Apache community, ORC and Parquet file readers/writers, and various connectors and features to accelerate the exploration of your growing data lakes.
Paul Moxon, VP of Data Architectures and Chief EvangelistFeb 21 20197:00 pmUTC60 mins
What makes data scientists happy? Of course data. They want it fast and flexible, and they want to do it themselves. But most classic data warehouses (DW) and data lakes are not easy to deal with for agile data access. A more practical solution is the logical data warehouse (LDW), which has shown to be a more agile foundation for delivering and transforming data and makes it easy to quickly plug in new data sources.
Attend this webinar to learn:
* How easily new data sources can be made available for analytics and data science
* How your organization can successfully migrate to a flexible LDW architecture in a step-by-step fashion
* How LDWs help integrate self-service analytics with classic forms of business intelligence
Muckai Girish, CEO, Muck.AI and DP Prakash, CIO, Global FoundriesFeb 26 20195:00 pmUTC59 mins
In this webinar, we will describe a number of use cases spanning Artificial Intelligence, Machine Learning, Augmented Reality and Virtual Reality that are propelling enterprises to realize significant value, increase efficiencies and provide unparalleled customer and employee experiences.
With rampant advances in deep learning technologies, access to large volumes of data, massive innovations in AR/VR devices and software, we are in a unique position, today, to leverage them for a plethora of use cases that are addressing real-life scenarios positively. They include customer service automation, employee productivity, training, visualization and remote troubleshooting, inspection and documentation.
About the Speakers:
With over 22 years of start-up and large-company experience in the high-tech industry, Girish is the CEO of Muck.AI, helping start-ups and enterprises realize the benefits of AI/ML, Cloud, Security and Networking. Girish served as the VP of Business Development & Strategy at Passage AI (www.passage.ai), a Silicon Valley startup developing conversational chatbot solutions using deep learning, natural language processing and artificial intelligence. He worked with Juniper Networks, Reliance Jio, Entropic Communications, ARRIS Group and SBC Labs, helping bring security, cloud, broadband and wireless communications solutions to market. Girish serves as an advisor and mentor to a number of start-ups.
DP Prakash is presently the worldwide leader in the CIO office of Global Foundries for Innovation in enterprise productivity through AI ML AR VR applications. In 2018, DP Prakash and his Team have created world leading solutions in AI ML and AR VR including the ability to visualize walking inside chips made with nano technology.
Nathan Swetye - Sr. Manager of Platform Engineering - Cox AutomotiveFeb 26 20196:00 pmUTC62 mins
Cox Automotive comprises more than 25 companies dealing with different aspects of the car ownership lifecycle, with data as the common language they all share. The challenge for Cox Automotive was to create an efficient engine for the timely and trustworthy ingest of data capability for an unknown but large number of data assets from practically any source. Working with StreamSets, they are populating a data lake to democratize data, allowing analysts easy access to data from other companies and producing new data assets unique to the industry.
In this webinar, Nathan Swetye from Cox Automotive will discuss how they:
-Took on the challenge of ingesting data at enterprise scale and the initial efficiency and data consistency struggles they faced.
-Created a self-service data exchange for their companies based on an architecture that decoupled data acquisition from ingestion.
-Reduced data availability from weeks to hours and developer time by 90%.
Naveen Punjabi, Strategic Tech Partnership Lead, Google Cloud & Sameer Satyam, Director, Product, ThoughtSpotFeb 26 20196:00 pmUTC60 mins
In the face of unprecedented disruption more businesses are looking for new ways to leverage data and analytics in the cloud to stay relevant and competitive. ThoughtSpot on the Google Cloud Platform lets companies reap the benefits of fast search and AI-driven insights in the cloud. Doing so enables anyone, regardless of technical sophistication, to quickly extract ML-derived insights from Google Cloud ML Engine using a simple search to go from answers to predictions in a single click.
* Launching a winning cloud analytics strategy
* Generating ML-derived predictions from Google Cloud ML Engine through search
* Combining the power of ThoughtSpot’s in-memory calculation engine with Google Cloud
Nimrod Vax, Co-Founder and Head of Product at BigID and Steve Touw, Co-Founder and CTO at ImmutaFeb 26 20197:00 pmUTC60 mins
Before modern organizations can even think about protecting data to avoid regulatory repercussion or utilizing their most important asset for advanced analytics, they must gain complete understanding of whose data they hold, where and in what context.
Join BigID and Immuta for a webinar to learn how our new partnership provides the building blocks for this necessary level of data understanding and utilization.
In this webinar, BigID’s Co-Founder and Head of Product Nimrod Vax and Immuta’s Co-Founder and CTO Steve Touw will discuss the partnership and how organizations can better prepare and implement data into model building for compliant AI and machine learning initiatives.
In this webinar, you will learn how:
• Balance the pressure for greater insights from data analytics with growing expectations of data privacy ethics and compliance
• Leverage data knowledge to enable data science teams to make the right access decisions
• Build complex policies based on dynamic data insights to unlock data value even in highly regulated environments