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.
Ulf Mattsson, Head of Innovation, TokenExRecorded: Jan 24 202061 mins
With sensitive data residing everywhere, organizations becoming more mobile, and the breach epidemic growing, the need for advanced data privacy and security solutions has become even more critical. French regulators cited GDPR in fining Google $57 million and the U.K.'s Information Commissioner's Office is seeking a $230 million fine against British Airways and seeking $124 million from Marriott. Facebook is setting aside $3 billion to cover the costs of a privacy investigation launched by US regulators.
This session will take a practical approach to address guidance and standards from the Federal Financial Institutions Examination Council (FFIEC), EU GDPR, California CCPA, NIST Risk Management Framework, COBIT and the ISO 31000 Risk management Principles and Guidelines.
Learn how new data privacy and security techniques can help with compliance and data breaches, on-premises, and in public and private clouds.
Grant Duke - NA Commercial Lead | Microsoft and Rob Furrow - Field Marketing Manager | Dell TechnologiesRecorded: Jan 24 202040 mins
The way we work and the anticipated experience from our end users is rapidly changing. Dell has solutions in market today to address these challenges, and a plan for what the future hold.
In this webinar we will explore the best in class productivity solutions from Microsoft and Dell. We will review how Dell PC’s work best with Windows 10 Pro and Office 365 to deliver client solutions that IT trusts and end users love.
Robert Furrow | Dell
Robert has over 13 Years with Dell as a Sales Leader, Trainer, Customer & Product Consultant. Currently, Rob is a field marketing manager helping support our Commercial and Medium Business sales teams.
Grant Duke | Microsoft Corporation
Grant has nearly 20 years of experience in mobile computing with Microsoft and other technology leaders. In his current role with Microsoft he leads Commercial Sales with Dell North America by aligning the combined strategies of Dell’s Workforce Transformation and the Microsoft Modern Workplace.
Paul Brebner, Technical Evangelist, InstaclustrRecorded: Jan 23 202038 mins
Join our Technical Evangelist, Paul Brebner, in a journey of exploration upriver with "Kongo", a scalable streaming IoT logistics demonstration application using Apache Kafka, the popular open-source distributed streaming platform. Along the way you'll discover: an example logistics IoT problem domain (involving the rapid movement of thousands of goods by trucks between warehouses, with real-time checking of complex business and safety rules from sensor data); an overview of the Apache Kafka architecture and components; lessons learned from making critical Kaka application design decisions; an example of Kafka Streams for checking truck load limits; and finish the journey by overcoming final performance challenges and shooting the rapids to scale Kongo on a production Kafka cluster.
Harold Byun, VP Products, BaffleRecorded: Jan 23 202054 mins
As concerns over data privacy and data theft continue to mount, companies are searching for solutions to help secure their customers' data and mitigate the risk of data theft, all without breaking business processes. The more recent data privacy regulations will significantly increase the cost of non-compliance and have the potential to stifle business intelligence and big data efforts as well.
The challenge that companies face is implementing the appropriate data level security without adversely impacting the business while still facilitating ways to leverage and monetize information. Historically, achieving this type of balance was impossible and methods to appropriately secure data often broke applications or made data useless for analytics.
Modern approaches to privacy preserving analytics are now available to easily protect your data for compliance, yet still allow for data processing on information without ever violating data privacy. Attend this webinar to learn how you can perform analytics and share data while still ensuring the appropriate level of data security and privacy.
This session will provide a review of various data-centric protection methods (data masking, tokenization, BYOK, field and record level encryption) including privacy preserving analytics and how they can be easily implemented to protect information in the cloud and on-premise.
Join this webinar and learn about the following:
- Key requirements of recent data privacy regulations and compliance strategies
- Common threat models that unknowingly leave data exposed to data theft
- Various data-centric protection methods that can help mitigate data security risks
- Privacy preserving analytics use cases that can
This webinar introduces methods that can uncover discrimination in your data and predictive models, including the adverse impact ratio (AIR), false positive and false negative rates, marginal effects, and standardized mean difference. Once discrimination is identified in a model, new models with less discrimination can usually be found, typically by more judicious feature selection or by tweaking hyperparameters. Mitigating discrimination in ML is important for both consumers and operators of ML. Consumers of ML deserve equitable decisions and predictions and operators of ML want to avoid reputational and regulatory damages.
If you are a data scientist or analyst working on decisions that affect people's lives, then this presentation is for you!
Geert van Teylingen, Microsoft & Kirk Ryan, NetAppRecorded: Jan 23 202052 mins
The 65% of enterprise workloads that continue to be on-premises are looking to adopt cloud methodologies but don’t want to sacrifice performance, reliability, and enterprise data management capabilities. Plus, no one wants to refactor or rearchitect their on-prem systems, applications, or processes!
Watch this joint webinar from Microsoft and NetApp to learn how to easily migrate complex file workloads and applications that are typically hard to run in the cloud–including SAP HANA, Oracle databases, and HPC workloads–to get to the cloud faster today and achieve more tomorrow.
In this webinar, we’ll cover:
• How organizations can make the move from on-prem environments. Hear tips for transitioning enterprise workloads to the cloud easily to reduce risk, resources spent, and time investment
• Microsoft and NetApp’s solution for migrating the unmigratable, Azure NetApp Files. See a demo of the fastest-growing Azure service and hear customer use case examples.
Pradeep Bhanot - Director of Product Marketing at ActianRecorded: Jan 23 202030 mins
Pradeep Bhanot, who has worked with databases for more than three decades, will present a short overview of Actian Avalanche Data Warehouse service. This live webinar will include a demo of setting up the data warehouse and connecting Looker. It will include a live Q&A.
Chris Santiago, Solution Engineering Director, Unravel DataRecorded: Jan 23 202059 mins
Make your on-premise Hadoop platform faster, better & cheaper with Unravel by joining Chris Santiago, Solution Engineering Manager to learn how to reduce the time troubleshooting and the costs involved in operating your data platform. During this webinar we will demonstrate how Unravel complements and extends your existing on-premise data platform to:
Instantly understand why technologies such as Spark applications, Kafka jobs, and Impala underperform or even fail!
Define and meet enterprise service levels through proactive reporting and alerting.
Reduce the overall cost of Cloudera/MapR/Apache Hadoop/Spark through better cluster utilisation resulting to an immediate reduction in MTTI and MTTR
Greg Tevis, Cobalt Iron VP of Strategy and Tony Owens, Arrow Electronics Solutions ArchitectRecorded: Jan 23 202040 mins
Spectrum Protect is a mature, scalable enterprise backup software on the market today. It provides reliable backup for more applications and platforms than any other product. However, with the massive scalability and long list of enterprise features comes significant complexity. Spectrum Protect requires a high degree of education and expertise simply to manage the day to day operations.
Increasingly, Spectrum Protect invested customers want to take advantage of modern data protection techniques such as SaaS, multi-cloud, multi-tenant, orchestration, deep cyber security, automation, and analytics to name a few. All of this is now available to Spectrum Protect customers without a painful rip and replace process through Cobalt Iron’s Compass product.
Attendees will learn
•How to modernize the data protection estate
•How analytics and automation can reduce management time by 80-90%
•How to leverage existing Spectrum Protect licensing investments
•How backup can become a first class citizen in the enterprise through orchestration and self-service
•How SaaS and automation can reduce CapEx up to 50%
Join our discussion to learn how to enhance and extend Spectrum Protect to deliver more value and modernize your data protection.
Jennifer Belissent, Principal Analyst, Forrester and Stephanie McReynolds, VP of Marketing, AlationRecorded: Jan 23 202064 mins
Companies today strive to be insights-driven – systematically using data to improve customer experience, streamline operations and create competitive advantage. Yet insights-driven decisions don’t come easily. Fewer than one-third of decision-makers report that their requests for support with business intelligence and advanced analytics are fulfilled within days or weeks.
Hail to the new chief (of data). Now, 51 percent of firms globally have chief data officers. While the role itself has been around for years, the mandate has shifted in recent years from locking down data to driving its use and deriving value. Top of mind for 87 percent of CDOs is getting data into the hands of users – data preparation and access through catalogs and self-service tools.
This webinar unveils new Forrester original research on the role of the CDO and describes how key technologies are supporting organizational development in insights-driven organizations. Register to learn how data catalogs have assisted with CDO strategic initiatives at organizations from the City of San Diego to Pfizer.
Jasdeep Singh Kaler, Edgeverve & Rich Lane, ForresterRecorded: Jan 23 202060 mins
AIOps, the convergence of AI and traditional IT operations, is gearing up to become the next big thing in IT management. When the power of AI is applied to IT operations, it will redefine the way enterprise infrastructure is managed. Traditionally, the complex IT deployment landscape hampers the connection between task executions and business outcomes.
Additionally, multiple monitoring tools and non-standard reporting make it difficult to diagnose the root cause of issues. This makes enterprises react to various scenarios, impeding their overall productivity and efficiency.
What enterprises need is to be able to predict incidents before they hinder business performance with an intelligent diagnosis system that allows quick resolution. This is where AIOps steps in.
Join this webinar to learn how AIOps empowers enterprises to become truly digital.
Charles Betz, Principal Analyst, ForresterRecorded: Jan 23 202066 mins
IT Leaders are under a constant mandate to drive and support innovation throughout their entire organizations. All too often, however, this mandate is not accompanied by increased budget and resources forcing leaders to "do more with less." It is vitally important for IT leaders to have the visibility they need to continually monitor and tune their operations, enabling them to shift from fixing issues to driving innovation.
How can you leverage IT Business Analytics to deliver value across your organization?
Join Srikant Gokulnatha (Chief Product Officer at Numerify) and our guests, Charles Betz (Lead DevOps Analyst at Forrester), and Line Larrivaud (Forrester Consulting) as they share:
- Why IT needs Business Analytics to transform customer experience, now more than ever
- How you can save $4M through reduced incident volume, analytics automation, and better vendor management
- What are the best practices for using AI and BI across the IT Planning, Development, and Operations functions
- How customers can achieve a three-year 214% ROI with Numerify IT Business Analytics and other independent findings from our commissioned Forrester Consulting Total Economic Impact™ (TEI) study
The AI Lab team @ Dataiku - Alexandre Abraham, Aimee Coelho, and Leo Dreyfus-SchmidtRecorded: Jan 23 202029 mins
This technical discussion of what's to come in 2020 will take a closer look at the hottest topics in machine learning research, including:
- Active learning and semi-supervised learning
- Reproducibility in ML
- ...and much more
Three research scientists will discuss what they're most excited about as well as possible practical applications of ML research. This webinar will be presented by The Lab research team at Dataiku, which seeks to contribute to the academic machine learning community as well as develop tools to assist everyone on their data journey.
Join us as we continue our webinar series 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 topics include project work presented by two interns from our HPCC Systems academic community:
Elimar Macena - Federal Institute of Espírito Santo (IFES) - Campus Serra, Brazil - Studying Crime Patterns in São Paulo state between 2006 and 2016.
Intelligence led policing (ILP) refers to technology-driven crime data analysis activities to support the design of effective crime prevention and prosecution strategies. This is a new approach to fighting crime that has been gaining strength due to the convergence of two technological streams: the digitization and release of public information related to the occurrence of crimes and the development of technological platforms that allow the proper handling of such information, such as the HPCC Systems platform. Elimar's project used the HPCC platform to analyze crime patterns in the state of São Paulo in Brazil between the years of 2006 and 2016.
Muiredach O'Riain - Goldsmiths, University of London - Machine Learning and the Forensic Applications of Audio Classification: An exploration of the forensic applications of sound classification using Artificial Neural Nets
Muiredach will present how he used HPCC Systems to help build a reliable classification model that is able to accurately classify an input sound file to its location. His project intends to not only demonstrate a proof of concept for this technology, but also to lay the groundwork for what could be the next step in forensic audio analysis and a new means of gathering information through sound.
Michael Osterman of Osterman Research; W. Curtis Preston Chief Technologist, DruvaRecorded: Jan 23 202037 mins
Do you think Office 365 is enough to protect your business data? Would you bet your career on it? Hear from industry expert, Michael Osterman of Osterman Research on how to step up your data protection game.
Join us for this live webinar and learn how to:
•Protect against ransomware, accidental deletion, or corruption
•Better align and respond faster to compliance and legal inquiries
•More efficiently manage departing employee and long-term archiving of data
Mark Palmer, SVP and General Manager of Analytics at TIBCO Software & David Skerrett, Digital Transformation LeaderRecorded: Jan 23 202059 mins
Delve into the FSI computing trends that will facilitate next-generation banking systems. From adaptive data science for real-time and predictive intelligence, to visual intelligence that helps humans effectively “query the future,” this webinar examines:
- How artificial intelligence is innovating the industry and how humans and machines can combine to achieve strategic enhancement
- How FSI leaders can make sense of millions of data points and turn them into meaningful insights, and how AI is making this easier than ever before
- How data analytics is transforming risk and fraud management
- Discussions and participant poll results surrounding the good, the bad, and the ugly of AI
Sushant Kumar, Product Marketing Manager, Denodo and Chris Day, Director, APAC Sales Engineering, DenodoRecorded: Jan 23 202063 mins
At the rate which enterprise data volume is increasing, replicating data to a central repository for analysis purposes is slow and expensive which might not even be a necessary part of the data integration process in many situations. With technologies such as data virtualization, companies can now place a single secure virtual layer between all disparate data sources (including both on-premise and in the cloud) on one side and various consuming applications on the other. Data replication for data integration is now an option and not a necessity.
In this session you will learn:
- What data virtualization really is
- How it differs from other enterprise data integration technologies
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations
As we concluded 2019, what can you expect in 2020 in terms of key data trends, particularly when it comes to cloud data lakes? Who will emerge as the winner in the cloud data game?
Data usage is growing exponentially, and with this growth comes a variety of new use cases, challenges, and opportunities. Join this live webinar on January 21 at 11 am PT with Jason Nadeau, Dremio VP of Strategy, who looks to next year to predict the data technology trends that will impact businesses in 2020.
Watch the webinar to learn:
- What are the key data industry predictions for 2020?
- What’s the future of cloud data lakes?
- How can you take advantage of these data trends?
Wherever you’re at on your data lake journey, don’t miss this chance to hear about the top data industry predictions for 2020. Can’t make it? Register anyway, and we’ll send you the recording.
James E. Curtis Senior Analyst, Data Platforms & Analytics, 451 ResearchRecorded: Jan 22 202048 mins
The cloud has the potential to deliver on the promise of big data processing for machine learning and analytics to help organizations become more data-driven, however, it presents its own set of challenges.
This webinar covers best practices in areas such as.
- Using automation in the cloud to derive more value from big data by delivering self-service access to data lakes for machine learning and analytics
- Enabling collaboration among data engineers, data scientists, and analysts for end-to-end data processing
- Implementing financial governance to ensure a sustainable program
- Managing security and compliance
- Realizing business value through more users and use cases
In addition, this webinar provides an overview of Qubole’s cloud-native data platform’s capabilities in areas described above.
About Our Speaker:
James Curtis is a Senior Analyst for the Data, AI & Analytics Channel at 451 Research. He has had experience covering the BI reporting and analytics sector and currently covers Hadoop, NoSQL and related analytic and operational database technologies.
James has over 20 years' experience in the IT and technology industry, serving in a number of senior roles in marketing and communications, touching a broad range of technologies. At iQor, he served as a VP for an upstart analytics group, overseeing marketing for custom, advanced analytic solutions. He also worked at Netezza and later at IBM, where he was a senior product marketing manager with responsibility for Hadoop and big data products. In addition, James has worked at Hewlett-Packard managing global programs and as a case editor at Harvard Business School.
James holds a bachelor's degree in English from Utah State University, a master's degree in writing from Northeastern University in Boston, and an MBA from Texas A&M University.
Jeff Ready, Chief Executive Officer, Scale ComputingRecorded: Jan 22 202043 mins
As computing needs continue to become more complex and data is being collected and utilized far beyond the limits of the data center, infrastructure at the edges of the network has become critical.
In this event you'll learn how solution providers are addressing this market by deploying edge infrastructure that has the capacity to run various IT/OT workloads, is space-conscious, and can be managed at each individual location.
Jeanne Morain, iSpeak Cloud | Jo Peterson, Forbes Technology Council | Jamie MacQuarrie, Appivo | Lenin Aboyagave, KogniRecorded: Jan 22 202064 mins
GE, Ford and P&G have been highlighted as just a few companies contributing to over $900 billion in losses due to failed Digital Transformation Initiatives. Companies are faced with the quandary of transform or perish yet the projects if not quickly understood get out of control and lead to their own demise. How do you identify when Digital Transformation Initiatives are going astray? What are some key steps you can take from a business, technology and security perspective to fail, find and fix Digital Transformation initiative issues before they lead to failure?
Join Jeanne Morain highly acclaimed author of iSpeak Cloud: Embracing Digital Transformation - and panelists Jo Peterson - Cloud Expert at Forbes Technology, Jamie MacQuarrie - CEO Appivo and Lenin Aboyagaye Chief Security Architect Kogni
With flagship shows in San Francisco, London, New York, Munich, Hong Kong, Singapore, and Cape Town, 2020 will see over 30,000 delegates from businesses globally joining the AI revolution through The AI Summit events.
The AI Summit series uniquely has the support of tech’s elite, with our 2020 Industry Partners featuring Agorai, AWS, IBM Watson, Microsoft, Oracle, Google, WorkFusion, Publicis Sapient, Genpact, Intel alongside 300+ sponsors and partners. Exclusive, inspirational insights from acclaimed speakers are frequently reported by the world’s foremost press including official media partners CBS, Reuters, BBC, The Times, Quartz, Tech Radar.
Dr. Heiko Klarl, CMO, iC Consult Group and Gerhard Zehethofer, Vice President IOT, ForgeRockRecorded: Jan 22 202040 mins
As vehicles become smarter and more connected, their technology relies on digital identity to personalise and secure the customer experience. For the fleet manager, insurance provider, consumer, and anyone else in the modern connected vehicle environment, knowing “who” can access “what” is essential.
In this joint webinar with iC Consult and ForgeRock you learn how to build up your connected identity strategy. Not only will you create synergies with other business areas, you also gain speed and a shorter time to market when rolling out connected services and explore new business models.
Webinars / Webcasts
With your registration you agree that we submit your data to the Sponsor of this webinar to enable them to contact you and to do follow-up marketing. The legal basis for processing your personal data this way is our legitimate interest according to Art. 6 (1) (f) GDPR, which would be the participation of our sponsors, which contribute large portions of the costs of the Webinars / Webcasts.
Luc Esprit –- EMEA DPS Sales Vice - President & Mark Stockham - Global Architect - VMware Data Protection Solutions EMEAJan 28 202010:00 amUTC60 mins
We invite you to attend the webcast showcasing the latest enhancements to PowerProtect Software.
Hear from Luc Esprit and Mark Stockham how Dell EMC in collaboration with Project Velero is providing an enterprise grade solution that allows you to place your production workloads in Kubernetes environment.
Learn how PowerProtect for Kubernetes protects them, and focused on app consistent backups and restores that are always available and durable in a Kubernetes workload or DR situation.
Badr Chentouf, Senior Solution Engineer, H2O.aiJan 28 202010:00 amUTC60 mins
Ce webinar présentera une introduction à l’utilisation de DriverlessAI, la plateforme d’Automatic Machine Learning, qui permet aux datascientistes de tous niveaux d’accélerer leurs projets de datascience.
Dans ce webinar, nous ferons un focus sur le cas des séries temporelles, problématique transverse aux secteurs d’activité pour prédire des consommations, des ventes, des pannes, … sur un horizon de temps donné. Nous verrons comment DriverlessAI permet de répondre à cette problématique, et de gagner en précision et en rapidité grâce aux techniques d’AutoML.
Anwesa Chatterjee - Sr. Director, Product Marketing, Druva and Max Lindauer Sales Engineer, Cloud Solutions, DruvaJan 28 202010:00 amUTC33 mins
Do you want to be great at legacy data protection or do you want to follow best practices for modern data protection for the cloud era?
Find a more efficient way. Druva offers a 100% SaaS data protection solution that requires 0% infrastructure and offers infinite scalability, complete autonomy, and global accessibility. Plus, Druva data protection solution can deliver up to 50% cost savings while reducing complexity, and eliminate the need for hardware, software or skilled resources.
Join this virtual workshop with our solutions expert to learn how you can:
• Manage and protect your data and enterprise workloads with Druva’s differentiated cloud-first approach
•Reduce TCO for your organization, with a flexible consumption-based pricing
•Eliminate complexity with an automated, single-click disaster recovery across cloud, hybrid and on-premises workloads
• Reduce business impact in case of ransomware attacks
Jim Morrish, Transforma Insights; Bassam Zarkout, IGnPower Inc.Jan 28 20204:00 pmUTC60 mins
Digital Transformation (DX) is the strategic realignment associated with the application of digital technologies towards new and improved business, industrial models and processes. A key component in successful transformation is ensuring trustworthiness of your digital systems.
Trustworthiness is the degree to which an industrial system can be relied on to do what it should, and not to do things that it shouldn’t. During this webinar we will explore why Trustworthiness (especially security) is such an important concept, considering that historically OT (Operational Technology) systems were designed to be resilient, reliable and very safe, whilst IT (Information Technology) systems have been built to be secure, private and reasonably reliable.
With the advent of IoT and Digital Transformation, the requirements of IT and OT become intertwined. Different industrial environments have their own unique challenges, and as they are digitally transformed, they become more connected, and potentially more vulnerable. The trustworthiness of industrial environments need to be handled differently than the traditional IT environment and newly IT/OT-converged systems must meet trustworthiness considerations associated with each.
Bottom line: Failure to address the trustworthiness issues of IoT systems (especially security) can put the organization’s DX strategy at risk, resulting in serious negative consequences such as missed market opportunities and wasted critical investments in DX initiatives.
In this webinar we will explore:
•What is Trustworthiness?
•How much trustworthiness do you need?
•The trustworthiness journey
•Best practices for managing trustworthiness
•Applying Trustworthiness to Digital Transformation
Secondary data has become the primary problem. Learn how HPE and Cohesity allow organizations to protect, store, and easily manage their non-latency sensitive (secondary) data starting with backups, and extending to archiving, file & object storage, test/dev and analytics with a web-scale, software-defined platform that spans seamlessly across core, edge and cloud - eliminating legacy infrastructure silos and mass data fragmentation while providing a single point of global control. The joint HPE-Cohesity solution, now complete with HPE Nimble snapshot integration, empowers customers to do more with their backup data, freeing it from being just an expensive insurance policy and enabling them to repurpose it for business advantage.
Network traffic encryption is the pillar on which the Internet, as we know it today, rests on. E-commerce, banking transactions, private and sensitive communications…all occur based on the implicit assumption that our communications are secured. However, ubiquity also means targetable, and Transport Layer Security (TLS) has undergone changes in an effort to stay ahead of the security game. Join (ISC)2 and Gigamon on Tuesday, January 28, 2020 at 1:00PM Eastern as we dive into TLS 1.3, the newest version of the TLS encryption protocol. Areas covered include an overview of statistics associated with encrypted traffic, what changes are introduced in TLS 1.3, and the advantages and challenges associated with them, implementation caveats and gotchas and best practice deployment strategies.
Geoff Bock, Principal, Bock & Company and Erin McCart, Director, Product Marketing and Management, ASG TechnologiesJan 28 20206:00 pmUTC60 mins
In today’s digitally driven economy, companies struggle to streamline organizational practices and operational activities. Many are saddled with inefficient business processes and outdated content management capabilities. Savvy firms, however, are relying on innovative ways to unlock the business value of information maintained within legacy silos and repositories.
This webinar examines how content federation empowers digital work while leveraging existing IT investments and information resources across the enterprise. Integrating through the web and the cloud, content federation provides a consistent way to:
• Access and view content stored within disparate repositories
• Enable a unified search experience
• Produce actionable results for business process automation
Noted industry analyst Geoffrey Bock, Principal at Bock & Company, and Erin McCart, Director, Product Management and Marketing at ASG Technologies will discuss why content federation transforms digital work. They will describe how organizations can leverage existing content resources, explain how Mobius Content Services from ASG Technologies enables organizations to cost-effectively federate access to different repositories, and identify three essential steps to harness the business value of enterprise information.
MLOps (a compound of “machine learning” and “operations”) is a practice for collaboration and communication between data scientists and operations professionals to help manage the production machine learning lifecycle. Similar to the DevOps term in the software development world, MLOps looks to increase automation and improve the quality of production ML while also focusing on business and regulatory requirements. MLOps applies to the entire ML lifecycle - from integrating with model generation (software development lifecycle, continuous integration/continuous delivery), orchestration, and deployment, to health, diagnostics, governance, and business metrics.
In this webinar, we’ll discuss core practices in MLOps that will help data science teams scale to the enterprise level. You’ll learn the primary functions of MLOps, and what tasks are suggested to accelerate your teams machine learning pipeline. Join us in a discussion with cnvrg.io Solutions Architect, Aaron Schneider, and learn how teams use MLOps for more productive machine learning workflows.
* Reduce friction between science and engineering
* Deploy your models to production faster
* Health, diagnostics and governance of ML models
* Kubernetes as a core platform for MLOps
* Support advanced use-cases like continual learning with MLOps
Steve Moritz, Chief Digital Officer; Ashok Yarlagadda, Chief Information OfficerJan 28 20207:00 pmUTC60 mins
Application development used to be relatively simple. You built one application to solve one problem that users accessed through one type of interface on one type of device. Requirements, data types, and formats were all pretty static. Development was linear and predictable. Skill sets/expertise of developers and user expectations were well-defined, not too diverse, and stable.
Today, organizational innovation as fueled by digital transformation has completely changed this model. A tremendous variety of users (internal and external) demand an experience that delivers flexible functionality accessible across a number of interfaces, using a plethora of access pathways (cloud, mobile devices and apps, wearables, digital assistants, browsers). Their needs/expectations are fluid and the applications built must accommodate a much wider spectrum of requirements.
For organizations to service their customers effectively in this new environment, many are turning outside app dev services to augment their in-house capabilities. These services are turning the traditional model on its head and providing valuable capabilities and capacity to deliver business agility.
Attend this webinar and learn how to use this innovative model to deliver transformative technology and accelerate innovation.
- What is appdev outsourcing and what are the characteristics of organizations that should leverage it?
- What are the typical business benefits of these services?
- How should an organization get started and determine the optimum service solution and provider?
- What’s the future for appdev services?
When: January 28, 2020, 11 am PST
- Steven Moritz, Chief Digital Officer, System Soft Technologies
- Ashok Yarlagadda, CIO, System Soft Technologies
Karen Walker-Asst. Dir of Research Development & Jamie Welch-Competitive Intelligence Analyst, Arizona State UniversityJan 28 20208:00 pmUTC60 mins
Academic institutions are facing increasing obstacles to fulfilling their mission of teaching, research and civic responsibility. The competition for
research funding and faculty has grown ever more intense and making decisions regarding where to allocate resources ever more critical. Gathering competitive intelligence on your academic peers will help guide decision making by transforming dis-aggregated information into actionable intelligence that can be used to capitalize on your institution’s strengths and grow research dollars.
Join to learn how you can use research intelligence tools to support strategic decisions.
• Karen Walker - Assistant Director of Research Development, Arizona State University
• Jamie Welch - Competitive Intelligence Analyst, Arizona State University
Jordan Ilchev, Progress SitefinityJan 29 20204:00 pmUTC33 mins
In a very special encore webinar from ProgressNEXT, join the Sitefinity engineering team as they present technical topics with a live question and answer session on enterprise-grade authentication.
One of the main challenges for developers is connecting multiple diverse systems. This is where Sitefinity shines, with standards-based authentication, OData services and built-in connectors that enable enterprises to tackle this critical piece of the puzzle.
This on-demand webinar will discuss:
Why large enterprises choose Sitefinity as their WCM for authentication capabilities
New authentication capabilities, OData services and connectors in Sitefinity
Integration with OAuth and Azure AD and best practices for configuration
See how Sitefinity simplifies the integration of enterprise-grade authentication capabilities!
Yuanzhe Bei, Pratibha Rana and Jeff Healey, VerticaJan 29 20204:00 pmUTC60 mins
The separation of compute and storage architecture of Vertica in Eon Mode delivers a range of benefits to data-driven organizations seeking to manage their variable workloads – on AWS and now on-premises with Pure Storage. There are many core features that enable those benefits, particularly the Depot and subclusters.
Join us for this Webcast to get a deep dive of how the Depot can help you improve query performance and derive maximum benefit by monitoring usage and more. You’ll also learn how subclusters can enable you to isolate your variable workloads – from reporting to ad-hoc to Machine Learning -- to accommodate all your departments and data consumers and simplify database operations.
Krishna Subramanian, COO, KompriseJan 29 20204:00 pmUTC45 mins
By 2025, 175 ZB of data will be created, up from just 33 ZB in 2018, including structured, semi-structured and unstructured data. The result? Costs to store and transmit data , while always a concern, has taken on increased importance in this era of explosive data growth and pressure to become data-driven. How can you keep up with today’s growth while identifying the “who, when and what” of your unstructured data? It starts with knowing your data, improving your organization’s competencies to manage and capitalize data, helping you to better-understand data types, access patterns, and place them strategically in the right infrastructure
Join our upcoming webinar to understand the value of Intelligent Data Management as a critical first step to become a data-driven enterprise. We’ll cover how in three easy steps:
Analyze data prior to making any decision
Move data with zero interference to apps, users or hot data
Access your data whenever, wherever
With black-box AI, people are refused or given loans, accepted or denied university admission, offered a lower or higher price on car insurance, and more, all at the hands of AI systems that usually offer no explanations. In many cases, humans who work for those companies can’t even explain the decisions.
That’s why white-box AI is now getting heaps of attention. But what does it mean in practice? And how can businesses start moving away from black-box systems to more explainable AI?
We’ll delve into the three key components needed for white-box AI success: more collaborative data science, involving all teams from lines of business through IT; trust in data at all levels, including tools that
can be used to increase transparency in data processes; and the role of education and the democratization of data.
And we’ll address why white-box AI brings business value in the first place and how it’s a necessary evolution for AI. Not only do customers care about explainable results of AI systems, but internally, white-
box AI is less risky. Don’t miss this VB Live event on how to move towards explainable AI.
REGISTER FOR FREE
+ How to make the data science process collaborative across the organization
+ How to establish trust from the data all the way through the model
+ How to move your business toward data democratization
+ Triveni Gandhi, Data Scientist, Dataiku
+ David Fagnan, Director, Applied Science, Zillow Offers
+ Rumman Chowdhury, Global Lead for Responsible AI, Accenture Applied Intelligence
+ Seth Colaner, AI Editor, VentureBeat
Doug Austin and Tom O'ConnorJan 29 20206:00 pmUTC75 mins
2019 was another notable year for eDiscovery case law with several significant rulings that stand to impact eDiscovery practices, the admissibility of evidence and the potential of sanctions for discovery violations. How can these key case law decisions affect discovery within your organization? This CLE-approved* webcast session will cover key 2019 case law decisions covered by the eDiscovery Daily blog and what the legal profession can learn from those rulings. Topics include:
+ Biometric Fingerprint Scanning and Privacy
+ Non-party ESI Requests in Litigation
+ Social Media Trends and Judge "Friending"
+ Password Provision and Fifth Amendment Protection
+ Staying Discovery while a Motion to Dismiss is Considered
+ Case Law Trends in Ephemeral Messaging App Discovery
+ Case Law Trends in Mobile Device Discovery
+ Sanctions Trends under Rule 37(e)
+ Sanctions and Case Strategy
+ Inadvertent Disclosures and Sanctions
Doug Austin is the Vice President of Products and Services for CloudNine. Doug has over 30 years of experience in legal technology and is the editor of the CloudNine sponsored eDiscovery Daily blog, a trusted resource for eDiscovery news and analysis.
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.
Drew Daniels, CISO, Qubole & Akil Murali, Director, PM Data Governance & Security, QuboleJan 29 20206:00 pmUTC60 mins
Welcome to the first episode of Inside the Brain of Cloud Data Platform Leaders (ITB). A webinar series where we bring to you, an interactive discussion between Data Lake Platform Industry Leaders, to address topics impacting the community right now. Join this series, so you can hear the opinions and perspectives of industry experts, and address your questions directly to them.
In this episode, we’re evaluating the SaaS/PaaS data platform from a CCPA and GDPR perspective. We’ll hear from subject experts:
- Drew Daniels, CISO, Qubole
- Akil Murali, Director, PM Data Governance & Security, Qubole
- Track data usage and consent across many disparate systems in a data lake;
- Comply with de-identification requirements for personal information;
- What it means to have full visibility and control over data platform endpoints and why it has to be the new norm for governance, risk, and compliance
BUT, be prepared to bring in your questions, as this series is live and interactive with our audience members.
Jörg Eggers - Solution Architect, Rackspace André Fenchel - Account ManagerJan 30 20209:00 amUTC30 mins
Welche Hürden bringt die Auswahl eines Managed-Cloud-Partners mit sich?
Viele Unternehmen haben sich bereits für den Weg in die Cloud entschieden. Auch die Nutzung von professionellen Partnern erfreut sich großer Beliebtheit. Sie unterstützen Ihre Auftraggeber in jeder Phase der Cloud Transformation.
Doch trotzdem kommt es häufig zu Komplikationen. Denn Unternehmen wissen oft nicht, wie Sie bei der Auswahl eines passenden Partners vorgehen sollen. Unser Solution Architect Jörg Eggers und unser Sales Executive André Fenchel stellen eine mögliche Vorgehensweise vor.
In unserem Webinar zeigen die beiden beispielsweise, wie man entsprechende Ziele definiert und eine schnelle Integration gewährleistet. Außerdem erklären Sie, wie man in einem ersten RFI (Request für Information) die Anzahl von Anbietern eingrenzt und sich in einem anschließenden RFP (Request for Proposal) auf wenige Managed Service Provider fokussiert.
Melden Sie sich jetzt zu unserem Live-Webinar am 30.01.2020 an – im anschließenden Q&A werden Ihnen unsere beiden Moderatoren Rede und Antwort stehen.
Thomas Been - Chief Marketing Officer Druva - Arnaud Lempereur - ISV Partner Manager France Amazon Web ServicesJan 30 202010:00 amUTC44 mins
Joignez ce webinar pour tout comprendre sur la technologie Druva, une technologie disruptive construite sur la plateforme AWS qui révolutionne le monde de la protection de donnée dans le cloud.
Thomas Been, Chief Marketing Officer, Druva en collaboration avec Arnaud Lempereur, ISV Partner Manager, France, Amazon Web Services (AWS) et Lemon Curl discuteront et répondront sur les préjugés que vous pouvez avoir sur la protection de donnée dans le cloud.
IIs vous apporteront une réponse simple, claire et précise pour vous permettre d’aborder sereinement une transition de protection de donnée cloud avec un partenaire de proximité et de confiance.
Patrick Ludwig, BD manager at AWS Florent Voignier, CTO at Indexima Nicoals Korchia, COO at IndeximaJan 30 202011:00 amUTC30 mins
This webinar is dedicated to best practices for business intelligence and analytics applications in the cloud.
1.Why the future of data & analytics is in the cloud?
2.From tech trends to reality: how to empower instant big data analytics from AWS marketplace with Indexima data hub?
3.Live demo on 20 billion rows and a customer use case
Jeffrey Needham, ConfluentJan 30 202011:00 amUTC35 mins
Of all security breaches, 85% are conducted with compromised credentials, often at the administration level or higher. A lot of IT groups think “security” means authentication, authorization and encryption (AAE), but these are often tick-boxes that rarely stop breaches. The internal threat surfaces of data streams or disk drives in a raidset in a data center are not the threat surface of interest.
Cyber or Threat organizations must conduct internal investigations of IT, subcontractors and supply chains without implicating the innocent. Therefore, they are organizationally air-gapped from IT. Some surveys indicate up to 10% of IT is under investigation at any given time.
Deploying a signal processing platform, such as Confluent Platform, allows organizations to evaluate data as soon as it becomes available enabling them to assess and mitigate risk before it arises. In Cyber or Threat Intelligence, events can be considered signals, and when analysts are hunting for threat actors, these don't appear as a single needle in a haystack, but as a series of needles. In this paradigm, streams of signals aggregate into signatures. This session shows how various sub-systems in Apache Kafka can be used to aggregate, integrate and attribute these signals into signatures of interest.
Watch now to learn:
-The current threat landscape
-The difference between Security and Threat Intelligence
-The value of Confluent Platform as an ideal complement to hardware endpoint detection systems and batch-based SIEM warehouses