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.
Darren Chinen, Senior Director Data & AI, Malwarebytes and Priya Balakrishnan, Sr. Director of Product Marketing, Redis LabsLive56 mins
Malwarebytes, the industry-leading anti-malware, and internet security software company, also leads in innovative threat intelligence. One such tool is the interactive remediation map, a worldwide security vulnerability.
Join us to learn how Malwarebytes uses Redis Enterprise at the heart of their data streams to centralize and visualize data in real-time, providing global information on threats detected, how a virus is conceived and the eventual spread through the world. In this talk, Darren Chinen, Sr. Director, Data and AI at Malwarebytes, will illustrate their use of Redis Enterprise. In this webinar, you will learn to:
- Drive analytics for heat maps and their threat intelligence tool
- Capture global malware records and real-time streams and drive stateful transformation
- Efficiently cache large amounts of data for interactive exploration of malware
2018 was a very busy and significant year from an eDiscovery standpoint. This year has had everything from new data privacy laws here and in Europe to the use of Internet of Things (IoT) devices in discovery to important trends regarding the use (or non-use) of Technology Assisted Review (TAR) to a landmark SCOTUS case regarding accessing cell phone location data without a warrant. What do you need to know about important 2018 events and how they impact your eDiscovery efforts? This CLE-approved* webcast will discuss key events and trends in 2018, what those events and trends mean to your discovery practices and predictions for 2019. Topics include:
+ Technology Competence Trends and Developments
+ CLOUD Act and the Microsoft Ireland Case
+ General Data Protection Regulation (GDPR) and California Data Privacy Law
+ Data Privacy and Cybersecurity Trends and Challenges
+ SCOTUS Ruling in Carpenter v. US
+ Technology Assisted Review (TAR) Trends
+ Internet of Things (IoT) Devices as Sources of ESI
+ Business and Investment Trends within eDiscovery
+ Form of Production Trends and Disputes
+ New Resources for eDiscovery Best Practices
Doug Austin is the VP of Products and Professional Services for CloudNine where he manages professional services consulting projects for CloudNine clients. Doug has over 25 years of experience providing legal technology consulting, technical project management and software development services to numerous commercial and government clients.
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.
Sean Zinsmeister, Head of Product Marketing, ThoughtSpot & Angela Hooper, Dir, Solutions Engineering, ThoughtSpotRecorded: Dec 12 201860 mins
Today every industry is feeling the effects of the Digital Transformation brought about by disruptive technologies like the AI, Cloud, Internet of Things, Blockchain, and Microservices. While some enterprises are already benefiting from these new technologies, many are overwhelmed and struggle to transform all of these new digital signals into business value.
Join us to learn how to:
* Embrace digital transformation while defending against digital native competition
* Monetize your data and enhance the customer experience with Search & AI
* Increase data access and data fluency across your organization
* Reduce decision latency and accelerate response times
Manju Devadas, CEO, Pluto7Recorded: Dec 12 201859 mins
In this webinar the audience will learn how Machine Learning and AI is being adopted in the real-world working with Google.
Google uses 4000+ machine learning models to run everything from their search engine, to Gmail and much more. The same infrastructure is now being used across multiple industries like supply chain, retail, manufacturing, and health care, to solve a myriad of problems like:
- Improving the taste of beer
- Beating humans in forecast accuracy
- Driving delivery of fresher fruits and helping online retailers reduce inventory carrying costs by over 50%
- and much, much more.
All this is being accomplished in ways that were never imagined before using machine learning and AI technology.
In this webinar we will walk you through how customers of all sizes are going through this digital transformation and how these results signal a huge wave ahead for businesses worldwide.
Manju Devadas is CEO of Pluto7, a Google “Global Breakthrough Partner of the Year” finalist company focused on Machine Learning and AI. At Pluto7, Manju utilizes his 17+ years of experience in predictive analytics to transform business on Google Cloud Provider (GCP). He believes that the next 10 years will be the age of machines and companies like Google and Pluto7 are early adopters.
Greg Khairallah, AWS - Vaidy Krishnan, Tableau - Andrew McIntyre, Informatica - Deepak Rameswarpu, InformaticaRecorded: Dec 12 201854 mins
Register to learn how Amazon Redshift, Tableau, and Informatica can unleash your data for modern analytics
Creating a modern cloud analytics infrastructure to enable better data-driven decision making is a critical goal of organizations today. Business and technical leaders want to better utilize their data assets to power their company’s digital transformations. Being able to make all of your data from across cloud and on-premise system easily available through self-service can accelerate your cloud analytics modernization journey and make your organization’s analytics more agile.
A modern cloud analytics platform can address many challenges, including:
· How to automate the integration and staging of all critical data, no matter its type, from across the organization
· How to make discovery and profiling of integrated data available to analysts via self-service
· How to fuel a scalable cloud data warehouse with all of the data necessary for analytics
· How to quickly analyze together any data from across the organization
· How to speed the identification data assets to be migrated to AWS
Leveraging best-in-class technology for cloud analytics can address these challenges and provide a platform for more effective and efficient analytics throughout your organization.
To speed customer journeys to analytics in the cloud, Informatica has teamed up with Tableau and AWS to create a pre-integrated joint solution. This solution combines Informatica data cataloging, data integration, and management, data warehousing with Amazon Redshift and visual analytics with Tableau. In this webinar, we will discuss the joint solution and provide a demo of how you can get started.
Brenon Daly, Research Vice President, and Nick Patience, Founder & Research Vice PresidentRecorded: Dec 12 201862 mins
Data is a company’s most-valuable resource, but only if the value can be unlocked. For most companies, Machine Learning is the key to unlocking that value. It may still be the early days for machine learning technologies, but nonetheless, companies are still making big strategic bets on how they are going to run their businesses in the coming era of smarter software, both in terms of acquisitions and implementation. For a comprehensive look at machine learning – covering everything from the technological underpinnings to the financial outcomes in the sector – join 451 Research’s Research Vice Presidents Brenon Daly and Nick Patience for a webinar on Dec. 12 at 11am ET as they make sense of the machine learning market including how some key tech acquirers are participating in the rapidly emerging market. Additionally, they’ll take a deep-dive into the machine learning technology itself, and how IT professionals are actually leveraging it.
Sid Choudhury, VP Product, YugaByteRecorded: Dec 12 201850 mins
Real-time streaming applications are driving revenue growth in verticals such as retail, IoT, telecommunications, financial services and SaaS. However, architecting the data infrastructure that powers such applications for rapid business value remains a complex challenge.
In this talk, we will review the key components of a streaming data pipeline and highlight the desired characteristics from each component in the context of reliability, scalability and performance.
A real-world IoT Fleet Management application built on Confluent Kafka as the data ingestion layer, KSQL or Apache Spark as the stream processing layer, YugaByte DB as the operational data store and Spring Boot as the Analytics Dashboard framework will be used to demonstrate how the desired business goals can be achieved with ease.
Jacqueline Bloemen, Senior Analyst BI (BARC) and Becky Smith, Sr. Product Marketing (Denodo)Recorded: Dec 12 201863 mins
In a digital World data is really everywhere. It enables innovative use cases, optimizes internal processes and will significantly affect tomorrow´s businesses.
The growing interconnectedness of people, companies, and devices has led us to a vast volume of data from an ever-widening variety of sources. This has resulted in the rising awareness of the necessity to implement a data strategy.
In this webinar Jacqueline Bloemen, Senior Analyst BI at BARC and Becky Smith, Senior Marketing Manager at Denodo, provide an overview of the current state of data strategy and data governance initiatives from companies around the world, based on the findings of a recently conducted study.
Key Questions this webinar will address:
- What are the most striking benefits of data governance?
- Which technological approaches are companies taking to control and provide data?
- What are the critical success factors of effective data governance?
1) Introduction and Challenges (Denodo)
2) Insights into the current state of data strategy and data governance initiatives (BARC)
3) Key Takeaways
Кирилл Сорокин, Системный инженерRecorded: Dec 12 201828 mins
Новое поколение ЦОД состоит из пулов ИТ-ресурсов с разделяемым доступом: вычислительные мощности, ресурсы хранения и сетевые фабрики могут быть доступны любой задаче по запросу. Узнайте как Кинетическая Инфраструктура PowerEdge MX, первое модульное решение спроектированное для построения компонуемых ЦОД, позволяет создать легко изменяемую ИТ-среду, повысить уровень утилизации ИТ-ресурсов и обеспечить защиту инвестиций.
BI workloads are an increasingly important part of your big data system and typically consist of large queries that analyze huge amounts of data. Because of this, BI users frequently complain about the responsiveness of their applications.
Learn how Pepperdata enables you to tune your big data system and applications to meet SLAs for critical BI workloads.
Moderator: Alex McDonald, SNIA SSSI Co-Chair; Presenters: Tom Coughlin, Coughlin Associates & Jim Handy, Objective AnalysisRecorded: Dec 11 201858 mins
Join SSSI members and respected analysts Tom Coughlin and Jim Handy for a look into their new Emerging Memory and Storage Technologies Report. Tom and Jim will examine emerging memory technologies and their interaction with standard memories, how a new memory layer improves computer performance, and the technical advantages and economies of scale that contribute to the enthusiasm for emerging memories. They will provide an outlook on market projections and enabling and driving applications. The webcast is the perfect preparation for the 2019 SNIA Persistent Memory Summit January 24, 2019.
Bharath Kadaba, Chief Innovation Officer, IntuitRecorded: Dec 11 201860 mins
The landscape of voice and chatbot-to-customer interactions is blowing up. Whether it’s a trusted AI assistant like Alexa or Google Home, or an integrated voice or chatbot tool within a brand interface like Kayak’s customer service experience, customers are increasingly willing to engage with brands via voice chat.
AI assistants are getting smarter, and becoming capable of helping consumers sort through the avalanche of choices available in every decision, from buying phone plans to toothbrushes. And your marketing efforts will have to shift priorities in a major way to capture the attention of these newly connected customers as assistants get smarter and customers learn they can rely on their results.
To hear about actual voice chat use cases, the differences between integrated bots and AI assistants, and how to leverage voice and bots for amaze-and-delight experiences right now, don’t miss this VB Live event!
Register here for free.
Attend this webinar and learn:
* How bots and voice are uniquely positioned to help customers make purchasing decisions
* How brands can address the advantages of integrated bots and an AI trusted assistant like Alexa
* The best ways to leverage voice and bots to optimize the customer experience
* What's next for voice and bots
Jen Stirrup, DataRelish; Gordon Tredgold, Leadership Principles LLC; Joanna Schloss; Lyndsay Wise, Information BuildersRecorded: Dec 11 201862 mins
Join Jenn Stirrup (Director, DataRelish), Gordon Tredgold (CEO & Founder, Leadership Principles LLC), Joanna Schloss (Data Expert) and Lyndsay Wise (Solution Director, Information Builders) as they discuss what it takes to take a business from needing analytics to leveraging analytics successfully.
Marcus MacNeill, SVP, Product Management, ASG TechnologiesRecorded: Dec 11 201839 mins
In the digital era, an organization’s business strategy is inextricably linked to its data strategy.
Yet increases in data volume, variety and velocity continue to challenge data management strategies and capabilities making it difficult for enterprises to effectively satisfy defensive (run the business) and offensive (drive the business) needs.
In this session, we’ll explore the state of data management including key trends and their impact on the direction and evolution of ASG’s Data Intelligence offering.
Kevin Moos, Kina Ratanjee, and Sarah DavisRecorded: Dec 11 201838 mins
Join Primitive Logic at our next webinar, where we'll bust the most common myths about data privacy as we show you how to adapt to the demands of our current environment and prepare for what lies ahead.
You will learn:
The most common myths around data privacy … and the real truth behind them
How to build a foundation for alignment with present and future data privacy laws
How to address the four key areas of data privacy compliance
The realities of where technology products can help your compliance efforts
Common challenges and pitfalls to avoid
Kevin Moos, President, Primitive Logic
Kina Ratanjee, Delivery Director, Primitive Logic
Sarah Davis, Senior Consultant, Primitive Logic
You’ve heard about the top trends in IT - but how do you use this information to take meaningful action? How do you encourage collaboration between the business, developers, and operations? How do you up-level IT as a service provider that reduces manual processes and troubleshooting without context to focus on strategic initiatives that impact important KPIs? By avoiding these 8 mistakes IT practitioners makes!
In this webinar, we’ll talk through avoiding:
-Friction between IT and the business
-Cumbersome and difficult root cause analysis
-Not preparing for Incident response
-And many others!
You’ll walk away with an understanding of how to apply lessons learned to your own organization and operate maximum scale, and maybe how Splunk can help!
Chris James, Senior Product Manager and Aileen Christensen, Marketing Manager, SciValRecorded: Dec 11 201860 mins
SciVal gives you the flexibility to analyze any researcher or group of researchers from any institution, create groups or even recreate your institution’s complete hierarchy with a few easy steps.
Senior Product Manager, Chris James, will walk you through some practical examples on how to:
• Populate and share institutional structures in SciVal, so your users have a unified starting point for their analyses
• Create a master spreadsheet and the minimum input required
• Add new researchers to your existing structure and synchronize the hierarchies using a master spreadsheet
• Do 'what if' scenario modeling. If I add a certain researcher to my team, how would my team perform?
• Synchronize hierarchies developed in Pure to SciVal
Join us live to ask your questions, or watch the recording at a later date.
Isabelle Nuage (Talend), Brajesh Goyal (Cavirin), Vincent Lam (Talend), Erin Junio (BrightTALK)Recorded: Dec 11 201862 mins
Whether you're just starting your cloud analytics journey, or you're a seasoned veteran, the question remains: Is your cloud analytics strategy delivering the insights you need? This panel of experts will help you discover the right way to harness your cloud data to give your big data team the resources they need to make informed business decisions. From preventing your cloud data lakes from becoming data swamps, to scaling your cloud environment to accommodate all your data sources, learn how to activate your cloud BI strategy & achieve powerful analytics results
About the Presenters
Brajesh Goyal is an industry veteran in the hybrid cloud space, bringing to Cavirin more than 20 years of high tech engineering experience. He was the founder & CEO for ITAPP, a disruptive cloud management company that was purchased by ServiceNow in 2016. At Oracle, he defined the term “enterprise grid computing” (former name for cloud) and wrote books on the topic. He continued to lead initiatives for enterprise grid computing, virtualization, and cloud at NetApp. BG holds a Master's degree, in Computer Science and Engineering from University of Minnesota, and a Bachelor of Technology Degree in CS from the Indian Institute of Technology
Isabelle Nuage is Director of Product Marketing at Talend. Her field of expertise include Data Integration, Big Data and Analytics. Isabelle brings 20+ years of experience in the software industry holding various leadership positions in product marketing at SAP & Business Objects. She holds a post graduate degree in computer science applied to GIS from the Pierre & Marie University in Paris, France
Vincent Lam is Head of Cloud Product Marketing at Talend. Throughout his career he has held leadership roles in marketing, product management & product development involving innovative technology solutions to complex problems. Mr. Lam is author of several patents and his background includes innovation across technology firms, Wall St, & entrepreneurship
Артем Булкин, Системный инженерRecorded: Dec 11 201845 mins
На каждом сервере PowerEdge «живет» умный и бдительный менеджер, который ждет вас. Присоединитесь к этой сессии, чтобы пообщаться с профессионалами со всего мира и узнать о том, как максимально использовать встроенные возможности серверов PowerEdge.
Ian Rowlands, ASG; Bob Cumberbatch; Consultant; Gaurav Bansal, RCloud Consulting; Garry Manser, VisaRecorded: Dec 10 201860 mins
Over the past few years, about 90% of data management has been dedicated to the operational requirements of data governance and regulatory compliance, but this is changing rapidly as financial institutions look to exploit and drive business value from data.
At a growing number of institutions, close to 70% of data management resource is focused on understanding data and implementing analytics that help the business work faster, smarter and identify new opportunities.
How can you shift the balance between operations and business analytics safely and successfully, and ensure investment in data management initiatives delivers proportionate business value?
Join this webinar to find out more about:
- The shift from operations to business led data management
- Ongoing challenges and solutions of regulatory compliance
- How to identify value in data and drive business benefit
- Approaches to balancing operational and business needs
- Technology tools and solutions to sustain the balance
- Ensuring return on investment in data management initiatives
Ayelet Biger-Levin, CISSP, Senior Consultant, Product Marketing, RSARecorded: Dec 7 201854 mins
When it comes to making access decisions, it’s all about being smart. In the speed of today’s business agility requirements, we cannot stop users at the door all the time and ask for their ID. We need to know them. Intelligent Authentication provides the benefit of reducing friction AND adding security to protect applications and data that are critical to the business. It provides security and convenience, considering the needs of the modern workforce. In this session we will discuss a simple process to gain visibility into the right listening posts, derive actionable insights and then drive action to protect the organization’s most valuable assets from rogue access and drive Identity Assurance.
Elizabeth Winkler, Director of Product Management @ AnacondaDec 12 20187:00 pmUTC30 mins
The rush to adopt machine learning practices has become ubiquitous in every industry. Enterprise data scientists want their AI models to be deployed into production to propel their organizations forward. Meanwhile, IT is looking for ways to enable their data scientists to build, train, and deploy their models in a way that does not compromise the security of their organizations, while making efficient use of resources like costly GPU clusters.
Anaconda, the creator of Conda, has adopted Kubernetes as the standard for building and deploying ML models at speed and scale in Anaconda Enterprise. Learn why in this presentation from Anaconda Director of Product Management Elizabeth Winkler.
Elizabeth Winkler has devoted her career to building SaaS products that leverage natural language processing and machine learning to extract meaning out of massive amounts of data. She is currently the Director of Product Management at Anaconda, the most popular Python data science platform. Previously, she built products at Atlassian, Salesforce, Spredfast, and a medley of startups.
Elizabeth was born and raised in Mexico City and has lived in Paris, Milan, and San Francisco before calling Austin home. She is an avid world traveler and a polyglot fluent in English, French, and Spanish and quasi-fluent in Italian.
Mike Gualtieri, Principal Analyst at Forrester Research, Pradeep Bhanot, Director of Product Marketing, at ActianDec 12 20188:00 pmUTC45 mins
Businesses must operate in the moment to maintain their competitive advantage. To do this they need fresh operational insights. In this presentation Mike Gualtieri, our guest speaker will share his views on the requirements for next-generation data warehouses. Pradeep Bhanot will describe how an Operational Data Warehouse (ODW) can deliver fresh analytics.
About the presenters:
Mike Gualtieri, Principal Analyst at Forrester Research
Mike's research focuses on software technologies, platforms, and practices that enable technology professionals to deliver digital transformations that lead to prescient digital experiences and breakthrough operational efficiency. His key technology coverage areas are AI, machine learning, deep learning, AI chips and systems, digital decisions, streaming analytics, prescriptive analytics, big data analytical platforms and tools (Hadoop/Spark/Flink; translytical databases), optimization, and emerging technologies that make software faster and smarter. Mike is also a leading expert on the intersection of business strategy, artificial intelligence, and innovation.
Pradeep Bhanot, Director of Product Marketing, at Actian
Pradeep’s focus at Actian is on analytic database solutions. Pradeep has worked with databases since 1984, starting with IBM VSAM, SQL/DS and DB2. Over 13 years at Oracle Pradeep held several technical and business roles. Since 2002 Pradeep has been working with Microsoft SQL Server and Actian’s Vector columnar, in-memory analytic database.
Ben Slater, Chief Product Officer, InstaclustrDec 12 201810:00 pmUTC45 mins
Instaclustr recently extended their managed service for Apache Cassandra to include support for Apache Kafka, this presentation will walk through the key challenges and lessons learned in extending Instaclustr’s provisioning and management system for Kafka.
Specific details will include: benchmarking, choosing appropriate cloud provider configurations, and security configuration.
Сергей Гусаров, Старший системный инженер Dell EMCDec 13 20189:00 amUTC60 mins
На этой сессии мы расскажем, как сетевая фабрика Dell EMC помогает решать текущие задачи современных ЦОД. Мы представим облачный сервис Fabric Design Center: помощник в проектировании и развертывании сетевых фабрик Dell EMC. И рассмотрим возможности масштабируемой сетевой фабрики для модульной платформы PowerEdge MX.
Esther Spanjer, Director of Business Development EMEIADec 13 201810:00 amUTC45 mins
The heavy demands of safe city initiatives, IoT workloads, and other time-sensitive data sets are hitting memory constraints at scale. New datacenter architectures become more and more memory-centric to address the pursuit of greater data processing at lower latency. But IT managers are confronted with cost of high capacity DIMM modules, limited amount of DIMM slots available within the server and low CPU utilization.
In this webinar, Esther Spanjer, Director of Business Development EMEAI will discuss the technical constraints of memory-intensive applications, and how they can be solved by Western Digital’s newly announced Ultrastar DC ME200 Memory Extension Drive. You will learn more about:
1. Market trends and challenges for memory-intensive applications
2. Technical implementation of the Ultrastar DC ME200 inside a server, enabling up to 24TiB of byte-addressable memory in a 1U server
3. Real test data on applications, such as Memcached, Redis, MySQL and SAP Hana
Speakers: Priya Shivakumar, Director of Product, Confluent + Konstantine Karantasis, Software Engineer, Confluent + Rohit Pujari, Partner Solutions Architect, AWS
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 AWS. By implementing a central-pipeline architecture using Apache Kafka to sync on-prem and cloud deployments, companies can accelerate migration times and reduce costs.
In this online talk we will cover:
•How to take the first step in migrating to AWS
•How to reliably sync your on premises applications using a persistent bridge to cloud
•Learn how Confluent Cloud can make this daunting task simple, reliable and performant
•See a demo of the hybrid-cloud and multi-region deployment of Apache Kafka
Kathryn Inscoe, Sales Executive & Six Sigma Green Belt | David Park, Technology Engineer & Data ScientistDec 13 201812:00 pmUTC60 mins
MondoBrain invented Enterprise Augmented Intelligence (EAI), human-centric and explainable Artificial Intelligence, that unlocks & leverages Human and Collective Intelligence empowering organizations and individuals to make optimal performance decisions with undisputed consensus and transparency. With MondoBrain's revolutionary hypothesis-free Algorithm, using algebraic-geometry, it uniquely extracts the critical drivers and ranges that have the strongest impact on any given Key Performance Indicator (KPI). Understand how you can impact every line of your P&L, gain a competitive advantage and empower all decision makers by using MondoBrain's video game like simplistic user interface to view KPI Trees & Intelligent Dashboard on-demand with implementation in less than a week. This is Next Level Intelligence! To make critical and impactful operational decisions, Just Ask MondoBrain!
Kurt Muehmel, Dataiku VPDec 13 20184:00 pmUTC75 mins
Many organizations with the hope of becoming more data-driven ask the question: self-service analytics, or data science operationalization - which will get me where I need to be? And the answer is: you need both together.
The fact is, it's the interplay and balance between operationalization (o16n) and self-service analytics (SSA) initiatives that makes a successful data-powered company that executes on all projects to its fullest potential. While at first glance the two appear to be completely different (maybe even contradictory), it’s precisely because they differ in value, scale, and more that they round out a complete data strategy.
Join the webinar hosted by Dataiku for a look at how to implement a complete strategy for both, pitfalls to avoid along the way, and case studies of large enterprises who have successfully implemented the two.
Yaacov Ben-Yaacov, CEO, Catch MediaDec 13 20184:00 pmUTC60 mins
In today’s competitive content services space (including music, OTT, eBooks and other licensed content), traditional telcos, content owners and content distributors must compete with the likes of Netflix, Amazon, Facebook and other new economy companies to attract and retain customers. Join our latest Data Disruptors webcast to hear how Catch Media is helping traditional players drive revenue and gain deep customer insights so they can compete in the new world of cord-cutting and over the top and digital content technologies.
Yaacov Ben-Yaacov, CEO of Catch Media, will show how his company enables content owners and distributors to achieve 50%+ increase in engagement through the segmentation of end consumers into distinct audiences that can be targeted in near real-time with messaging and recommendations personalized to their content consumption behavior.
On this webcast you’ll learn:
• Key market trends and challenges facing traditional telcos, pay TV operators, digital content service providers and content owners
• 4 steps needed to engage consumers, drive lifetime value and increase revenue
• Why Catch Media chose Vertica for scale, performance, and flexibility
• How businesses that embed Vertica can deliver higher value to customers
Wael Elrifai, VP for Solution Engineering, Hitachi VantaraDec 13 20184:00 pmUTC60 mins
Wael Elrifai, co-author of the book, “The Future of IoT”, shares his experience of recent changes in IoT technology, new terminology, and the complex challenges of scaling from sensor technologies to whole smart cities. Wael also explains how his passion for sustainable development and innovation come together to achieve good.
David Talby, CTO at Pacific AIDec 13 20185:00 pmUTC60 mins
New AI solutions in question answering, chatbots, structured data extraction, text generation, and inference all require deep understanding of the nuances of human language. David Talby shares challenges, risks, and best practices for building NLU-based systems, drawing on examples and case studies from products and services built by Fortune 500 companies and startups over the past six years. David also highlights some of the differences between language understanding and other machine learning and deep learning applications.
- What gave natural language understanding its reputation as an “AI complete” problem
- The many languages we speak every day and the resulting need to train domain-specific NLP models for most systems
- The evolution from “traditional” machine learning and information retrieval techniques to current state-of-the-art systems, covering both the “simple” parts of common NLP Q&A or bot solutions and where “advanced” AI fits in
- Guidelines to architecting a system that trains and serves large, current, accurate domain-specific NLP models using open source software
David Talby is a chief technology officer at Pacific AI, helping fast-growing companies apply big data and data science techniques to solve real-world problems in healthcare, life science, and related fields. David has extensive experience in building and operating web-scale data science and business platforms, as well as building world-class, Agile, distributed teams. Previously, he was with Microsoft’s Bing Group, where he led business operations for Bing Shopping in the US and Europe, and worked at Amazon both in Seattle and the UK, where he built and ran distributed teams that helped scale Amazon’s financial systems. David holds a PhD in computer science and master’s degrees in both computer science and business administration.
Nathan Rain, Group Manager, Data Governance & Master Data Management, BJC Center for Clinical Excellence (CCE)Dec 13 20185:00 pmUTC60 mins
BJC Healthcare is one of the largest nonprofit health care integrated delivery organizations in the country. In 2016, BJC embarked on a journey to replace multiple instances and multiple types of Electronic Medical Records (EMR) systems with a new single EMR with Epic.
Nathan Rain, Group Manager of Data Governance & Master Data Management at BJC Healthcare, led a team that defined the path to create a trusted golden record across its 15 hospitals, five service organizations, and hundreds of outreach services for residents. Along this journey, Nathan learned a number of valuable lessons including how to:
•Set the objective and explain the need to ensure executive buy-in
•Create a single trusted view of Provider data from multiple sources
•Avoid pitfalls and define optimization criteria in Epic that drives adoption
•Automate processes and achieve high levels of efficiency with existing resources
Join Nathan and Informatica in this webinar to learn more about the value and power of master data management and data governance to fuel trusted data in healthcare.
Emma McGrattan - SVP of Engineering and Pradeep Bhanot,- Director of Product Marketing, at ActianDec 13 20186:00 pmUTC32 mins
This TechTALK introduces the Operational Data Warehouse (ODW). Pradeep Bhanot will introduce the ODW and the Actian Vector analytics database. Emma McGrattan, SVP Engineering will provide an overview of key database technology that enable the ODW uses. Pradeep will close with a demonstration of the Windows edition.
Viewers can ask questions during the event to be addressed during the live Q & A or by email following the event.
Download the Evaluation Edition at https://www.actian.com/lp/try-vector/
Are you building a report for a summer school project? For a mission-critical financial or healthcare system? For fun?
Regardless of your end-goal, knowing how to build a report is the first prerequisite to distributing information effectively to your fellow humans. Modern reporting opens the door to using data from the latest data sources, creating beautiful visualizations, and sharing your creations using smart and powerful distribution methods.
Join us to learn the essentials of creating a report with TIBCO Jaspersoft® embedded BI. In this session, we’ll share best practices and provide live tutorials on:
Connecting to your data
Adding report components & visualizations
Formatting and styling your report
Sharing your report with others
Abinash Tripathy, Co-founder, HelpshiftDec 13 20186:00 pmUTC60 mins
Bots, artificial intelligence, and messaging — cost-effective, easy-to-implement automation technology —- is gaining a major foothold in customer service organizations, and the impact is palpable. Contact centers are on track to shrink by 50 percent in the next three years as routine tasks are taken over by faster, efficiency-saving bots that can triage requests, boost customer satisfaction, and offer an 8.6 percent increase in profit margin per customer.
These technologies are also making it easy to tap into the gig economy, which is producing a growing supply of tech-savvy labor for companies that also saves costs. For workers, it means flexible arrangements with low barriers to entry, plus more satisfying employment, now that the grunt work has been eliminated by automation.
AI and automation is set to level up the workforce, the economy, and your bottom line. For a closer look at the long-term implications of automation, how to invest in the brave new world of work, and more, don’t miss this VB Live event!
Attend this webinar and learn:
* The workforce implications of customer service bots
* How bots and employees can work side-by-side
* What smart companies are doing to lay the groundwork
* Future of work - what does it look like?
* Abinash Tripathy, Co-founder, Helpshift
* Peter Ryan, Principal Analyst, Ryan Strategic Advisory
* Stewart Rogers, Analyst-at-Large, VentureBeat
* Rachael Brownell, Moderator, VentureBeat
Ajay Anand, VP Products & Marketing with Jerrod Gladden, VP Sales at Kyvos InsightsDec 13 20186:00 pmUTC60 mins
Most enterprises today are moving or planning to move their Big Data and applications to the cloud. Cloud not only enables anytime, anywhere access to data, but also offers the benefits of scalability, elasticity, high availability, cost optimization, and more. However, just moving your data to the cloud does not ensure that you will reap all its benefits. The next step should be to move analytics to the cloud and ensure that it is as elastic as the cloud platform itself.
With our latest release Kyvos Version 5, you can build an agile, elastic, and high-performing BI on Big Data platform that helps you achieve sub-second response times on trillions of rows of data both in the cloud and on-premise Big Data platforms.
Join our upcoming webinar to learn how Kyvos 5 can help you:
• Transform BI on Big Data in the cloud
• Achieve high performance with next Generation OLAP designed for Big Data
• Perform smarter analytics with advanced data profiling
• Prioritize analytics for business-critical functions
• Create enhanced visualizations and better collaboration
Join this webinar to learn about deploying H2O in large-scale distributed environments using containers.
Artificial intelligence and machine learning are now a top priority for most enterprises. But it can be challenging to implement multi-node AI / ML environments for data science teams in large-scale enterprise deployments.
Together, BlueData and H2O.ai deliver a game-changing solution for AI / ML in the enterprise. In this webinar, discover how you can:
-Quickly spin up containerized H2O and Driverless AI environments whether on dev/test or production
-Ensure seamless support for H2O running on CPUs or GPUs, and provide a secure connection to your data lake
-Operationalize your distributed machine learning pipelines and deliver faster time-to-value for your AI initiative
Find out how to run AI / ML on containers while ensuring enterprise-grade security, performance, and scalability.
Cory Minton CEO BigDataBeard; Pratik Verma CEO BlueTalon; Will McKnight CEOMcKnight Consulting; Rob Antczak CTOPowerAdvocateDec 13 20186:00 pmUTC60 mins
The data revolution has resulted in a seemingly endless variety of tools and techniques designed to extract insights from big data and gain a decisive competitive edge in the marketplace. Many successful organizations across major industries like Financial Services, Healthcare and Retail, now analyze the data generated by everyday business activities and use the resulting insights to inform critical business decisions.
Tune in to learn more about how industry leaders are becoming Modern BI powerhouses and get expert panelist advice on how to accelerate your own business intelligence and analytics strategy in 2019 and beyond.
Cory Minton, Principal Systems Engineer at Dell EMC and Founder & CEO of Big Data Beard
Pratik Verma CEO of BlueTalon
William McKnight CEO of McKnight Consulting
Rob Antczak, CTO of PowerAdvocate
Jorge Villamariona, QuboleDec 13 20186:00 pmUTC60 mins
As corporations augment their corporate data warehouses and data marts with cloud data lakes in order to support new big data requirements, the question about how to grant governed access to those data lakes becomes more pressing. Certainly, capturing new and different types of data is important but deriving value from those datasets remains the ultimate goal.
Whether or not the data lake consumers write SQL or leverage 3rd party BI and visualization tools, what matters is that they can continue to be productive using the skills and tools they already know. The difference is that now those tools and skills should be used with back-end engines that can can help them quickly sift through petabytes of data and at the same time provide support for fast interactive queries.
This means that in order for those data lake investments to succeed it is important for data admins to provide: SQL access to all authorized data, support for BI tools, cross-team collaboration capabilities, and governed self-service.
In this webinar we will cover:
- Data collaboration and access using SQL
- Tools that enable fast self-service for different teams
- Considerations for choosing the right SQL back-end for your use case
Dino Eliopulos, Managing Director, EIS & Bryan Kohl, VP, Business Development, EISDec 13 20186:00 pmUTC60 mins
Artificial Intelligence (AI) has the potential to completely revolutionize the B2B selling function. And depending on who you talk to, AI will either enable massive productivity gains from your employees or replace them entirely.
Hype aside, AI is coming, and B2B companies need to understand how to harness it. And despite the promise of ‘plug and play‘ technology, real AI requires varying degrees of knowledge engineering, product and content architecture, and high-quality data sources to be effective.
In this session, EIS's Bryan Kohl, VP, Business Development and Dino Eliopulos, Managing Director demystify AI for your B2B organization.
You will learn:
--How you can leverage best practices to re-think processes for the product content lifecycle, from initial onboarding to post-production syndication
--The infrastructure you’ll need to consider when planning for your AI initiative
--How AI enables new product associations and personalized experiences to drive deeper engagement with your customers
Don Molaro, CTA at WWT & industry expert, Hal Woods, CTO at Datera, and Bill Borsari, Field Technical Lead at DateraDec 13 20186:00 pmUTC45 mins
If you are like many out there, the DATA is at the center of what your organization does and it’s getting in the way of achieving a Software Defined DATA Center that is simple, automated and fast. Hear about the challenges enterprises like yours are encountering and evaluate the options available to architect a new approach that can:
- Automate data storage end-to-end using new capabilities like machine learning
- Harness the latest tech like NVMe to drive performance @ scale
- Consolidate data storage and operations
- Pave the way to adopt new container orchestration technologies like Kubernetes
Don Molaro, Chief Technical Advisor at World Wide Technology joins Hal Woods, CTO at Datera, and Bill Borsari, Field Technical Lead at Datera, to share their experience and advice. Learn the key requirements and technology options available to architect your future data operations, rightsize your budget and transition to a software-driven world.
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spent most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Attend this webinar and learn:
* How data virtualization can accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
* How popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc. integrate with Denodo
* How you can use the Denodo Platform with large data volumes in an efficient way
* About the success McCormick has had as a result of seasoning the Machine Learning and Blockchain Landscape with data virtualization