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.
Melanie Turek VP | Connected Work, Frost & SullivanRecorded: Aug 16 201950 mins
Frost & Sullivan research shows that Artificial Intelligence and Machine Learning has been adopted by 62.7% of companies across the globe. Primary drivers include improving the quality of products/services, the speed of decision making and operating efficiencies. Over a third of the respondents are concerned about security, the cost of integration and privacy.
Companies in IT & Communications and Finance, Banking & Insurance are the top industries implementing AI, initially to facilitate innovation for competitive advantage of AI. Businesses are also using it to create cost efficiencies, retain employees and improve the customer experience.
This webinar will look at some of the ways in which organizations are using ML and AI to improve their overall performance, drilling down into specific lines of business and use cases to deliver clear examples. We’ll answer your questions, as well as address key issues, including:
- Where is the market when it comes to advanced analytics?
- What are the “low hanging fruit” of use cases? Where should I start?
- What are the risks/challenges I will face?
- Who should be involved in developing strategy?
As a Fellow and VP of Research for Connected Work at Frost & Sullivan, Melanie covers a broad range of markets, leveraging long-standing relationships with leading industry participants’ senior executives and customer organizations.
Melanie has more than 25 years' experience covering video and web conferencing, social networking, unified communications, voice, IP communications, instant messaging and presence, and the end-to-end customer experience, as well as a wide range of business software and services.
Melanie brings deep technical expertise and in-depth understanding of the ways in which technology can positively impact business processes and performance. She studied social anthropology at Harvard, and she views technology transformation through that lens.
Jamie Sidey, Chief of Staff for Optiva and Keith Millar, SVP Services Business at PythianRecorded: Aug 16 201935 mins
Optiva, a Canada-based company that develops software for communications service providers, already had plans to migrate to Google Cloud Platform (GCP) to become more agile and reduce costs. But when it acquired another company, it suddenly found itself in possession of many outdated assets located in data centers all over the world—complicating its goal of quickly and easily moving all of its assets to the cloud. Facing a complex and daunting task, the client turned to Google, and partner Pythian.
In 35 minutes you will hear
1. How Optiva and Pythian moved 10 data centers to GCP
2. Learn about the lift & shift with a double-bubble
3. Challenges Optiva and Pythian encountered during migration
Calvin Fudge, Director of Product MarketingRecorded: Aug 15 201961 mins
In an era increasingly dominated by advancements in cloud computing, AI and advanced analytics it may come as a shock that many organizations still rely on data architectures built before the turn of the century. But that scenario is rapidly changing with the increasing adoption of real-time data virtualization to provide a secure, logical data layer. No longer does disparate data sources have to be physically moved to a data warehouse and transformed before it can be used by the business.
Attend this session to learn:
* What is data virtualization
* How it differs from other enterprise data integration technologies
* Why data virtualization is increasingly finding enterprise-wide * deployment inside some of the largest organizations
Nathan Necaise - VP of Data Sciences Emerging Services - OptivRecorded: Aug 15 201955 mins
The convergence of streaming data platforms with cyber security solutions presents real opportunity for combating and predicting future threats. Join StreamSets and Optiv as we discuss common use cases and architectural patterns used by leading Fortune 500 organizations to modernize their cyber architecture.
During this webinar, we will discuss:
-Common challenges facing today’s SIEM’s and how to effectively augment them with streaming data platforms
-Show customer examples and demonstrate how they are leading to transformative effects
-How to optimize security architectures that use technologies like Splunk using StreamSets
Esther Chen, Product Marketing Manager, MuleSoft & Jimil Patel, Technical Product Marketing Manager, MuleSoftRecorded: Aug 15 201938 mins
Salesforce Service Cloud to systems like ERP, OMS, and databases to give agents a single view of customers and orders. Rather than switching between different systems, agents can instead focus on delivering superior service. Together, MuleSoft and Salesforce increase agent productivity by 25% by automating workflows and service actions and improve customer satisfaction by 35% with personalization throughout the service experience.
Watch this webinar to:
* See a live MuleSoft Flow designer demo with Salesforce Service Cloud to create a holistic view of your customer.
* Learn how customers are transforming their service experience using MuleSoft to synchronize Service Cloud with other systems of record.
* Get best practices to integrate Service Cloud with ERP, OMS, and third-party systems.
Alexey Malanov, Malware Expert, Kaspersky LabRecorded: Aug 15 201948 mins
This webinar is part of BrightTALK's Ask the Expert series.
Alexey Malanov joined Kaspersky Lab in 2004, where he began his work as a virus analyst. He has since been appointed Head of Kaspersky's Anti-Malware Team and in 2012, shifted his focus to analyzing technology trends and risks.
The threat posed by a Strong AI (artificial intelligence where the machine's intellectual capability is functionally equal to a human's) is well-considered in many science fiction films. But the invention of a Strong AI will take many years, so we can afford not to hurry with the study of "laws of robotics."
However, we are already facing growing concerns. The use of machine learning in various fields has shown that algorithms often make strange, discriminatory and difficult-to-understand decisions. Moreover, it has been clearly demonstrated that a person can cheat algorithms to achieve desired results.
Alexey addresses some of the looming issues surrounding the AI algorithms that are becoming a part of our daily lives, and will increasingly affect us and our decisions.
Kris Irizawa - Director, Analytics and Gio Avila - Director, Business DevelopmentRecorded: Aug 15 201959 mins
Join Principle and Arm Treasure Data to learn how to unify offline and online customer data for better marketing insights and improved conversion rates.
The Analytics team at Principle helps brands like Coach, Adidas, and Red Bull integrate data for deeper customer personalization and boosted campaign performance and 3 lucky participants will win a complimentary Google Audit.
Here’s what you will learn:
- Best practices on ensuring your eCommerce website is setup for optimal tracking and reporting
- How to unify data from digital and physical channels
- How to visualize your data to find actionable insights
Robert Fleming, Qlik; Tom Pringle, Ovum; Thomas Barker, Humana; James Fisher, Qlik; Dan Potter, Attunity, a Division of QlikRecorded: Aug 15 201938 mins
Kicking off the June 2019 Virtual Forum with an expert analyst and customer guest, this year’s Qlik Virtual Forum Talk Show explores the future of data and analytics or as we refer to it, postmodern analytics. The session covers topics like the adoption of analytics, the new paradigm of data processing and management, and the role of data literacy.
Jason Bevis, VP Global Threat Hunting, Cylance; Alex Holden, CISO/Pres, Hold Security, Chip Wagner, Sec Analytics, IBMRecorded: Aug 15 201959 mins
Many organizations are so busy responding to and remediating indents that they don’t have the time, resources or framework for being proactive and searching for these threats. Automation (artificial intelligence or machine learning) can provide actionable intelligence quickly without being a resource drain. Pairing automation with a threat hunting framework like the MITRE ATT&CK can help to build an overarching strategy for addressing this critical area. Join BlackBerry Cylance and (ISC)² on August 15, 2019 at 1:00PM Eastern for a discussion on how to better and more quickly identify malicious behaviors and how a model of continuous improvement can benefit an organization.
Primitive Logic CEO Jill Reber & President Kevin MoosRecorded: Aug 15 201936 mins
Getting your company ready for GDPR, CCPA, and other data privacy laws isn’t about putting a few new processes in place — it’s about rethinking your entire approach to personal data, including how to get value from it. For decades, companies have collected and stored all kinds of personal information “just in case” they ever needed it.
Today's data privacy regulations require a different approach. You need to be proactive in thinking about how to get value from your data, and you need to understand exactly what your company is doing with personal data and why.
Join Jill Reber and Kevin Moos of Primitive Logic to learn:
- How to work with third parties who process personal data on your behalf
- How preparing for data privacy laws helps you understand your data on a whole new level (and why that’s a good thing)
Alyssa Dver, CCO at American Confidence InstituteRecorded: Aug 15 201962 mins
This week Alyssa Dver joins us to discuss total BS; using brain science to debunk and transform the business of speaking.
Join two of Boston’s best speakers as they candidly discuss why so many speakers fail -- and the real secrets to speaking success. Whether you’re a speaker or an event professional, learn a bit of brain science to give yourself, and your audience real, sustained confidence.
Innovation Women founder Bobbie Carlton will act as both host and mythslayer while she interviews the refreshingly candid Alyssa Dver. After years as a CMO for several companies, Alyssa founded and now helms the American Confidence Institute and the ERG Leadership Alliance. She speaks professionally 8-10 times every month and has trained over 300,000 people how to use the science of confidence to pitch, coach and be kickass. As both pro speakers and event planners, Bobbie and Alyssa will share real secrets and science so you can have remarkable impact on your audience and your career. Seriously, no BS.
-The benefits and challenges of being a part- or full-time pro speaker
-How to use brain science to make speaking more fulfilling for you and your audience
-Expert tips to optimize speaking revenue and/or career opportunities
Alyssa Dver is Co-Founder and Chief Confidence Officer at the American Confidence Institute. Recognized as the world’s Chief Confidence Officer and one of Boston’s Best Speakers, Alyssa helps students and professionals use brain science to inspire confidence in themselves and to anyone they pitch, coach, or care about. Alyssa is the co-founder of the American Confidence Institute which conducts and collects research that is then shared through keynotes, workshops, online and certification programs. Clients include Spotify, Wayfair, Pepsi, The US Air Force, State Street, Staples, The Royal Bank of Canada, plus dozens of other confidence-committed organizations, conferences, and associations.
JR Jenkins, Emily Tice, Karen Burkardsmaier, Carlyn Milla, Tish LooperRecorded: Aug 15 201941 mins
Nuix Ringtail has a new name -Nuix Discover! During this webinar we will provide an in-depth overview of what this renaming means to existing Nuix Discover clients and what changes they can expect to see in the weeks ahead. We will also provide a preview of the Nuix Exchange user conference taking place in September.
Alok Dwivedi, Senior Consultant, InstaclustrRecorded: Aug 15 201957 mins
Are you responsible for building Data pipelines for your organization or for your customers? Are you coming from a background where you worked on traditional ESB (Enterprise Service Bus), Middleware and ETL based systems but are no longer comfortable with modern trends in these domains? Or are you just interested in learning a technology that provides framework for message processing, stream processing, real time analytics, event sourcing, or acting as a central data bus for your organization.
Apache Kafka is the leading distributed streaming and queuing technology for large-scale, always-on applications. Kafka has built-in features of horizontal scalability, high-throughput and low-latency. It is highly reliable, has high-availability, and allows geographically distributed data streams and stream processing applications. It’s used by pretty much all the big tech giants; LinkedIn, Netflix, Uber, Twitter, AirBnB and traditional names like Adidas, Goldman Sachs; the list goes on.
Instaclustr is organising a multi-part webinar series on Apache Kafka with an aim to help you in your journey of learning and making the best use of this technology.
In part-1 of this series, we will start with the basics of Apache Kafka, Kafka ecosystem, overview of its architecture and explore concepts like brokers, topics, partitions, logs, producers, consumers, consumer groups, etc.
Iain Brown, Head of Data Science, SAS UK&IRecorded: Aug 15 201946 mins
Aiming to dispel the AI myth from the AI reality?
This session provides practical real-world applications of AI solutions detailing the lessons learned and the pitfalls to avoid. You will understand the critical factors that will make your AI strategies successful and see what AI could deliver within your organisation.
In addition we will discuss, how to make sure AI is ethical by design, and why a governance framework is the crucial first step in ensuring AI is used in the right way.
Speaker: Iain Brown
Dr. Iain Brown (Twitter: @IainLJBrown) is the Head of Data Science at SAS UKI and Adjunct Professor of Marketing Analytics at University of Southampton working closely with the Financial Services sector, providing thought leadership on the topics of Risk, AI and Machine Learning.
During his time at SAS he has been involved in delivering numerous projects, and driving innovation in the fields of AI and the corresponding fields of machine learning, deep learning and natural language understanding.
As an experienced public speaker, he has presented at a number of internationally renowned conferences and conventions and has papers published in the European Journal of Operational Research, International Journal of Forecasting and the Journal of Expert Systems with Applications on the aforementioned areas of expertise
Adam Bowen - Delphix, Robert Reeves - Datical, John Pocknell - Quest SoftwareRecorded: Aug 14 201964 mins
DevOps continues to transform the way companies build and deploy applications through agile methodologies, better communication and collaboration, faster feedback loops and greater automation. However, even the best DevOps initiatives can fall victim to data bottlenecks, from challenges provisioning data quickly and easily, to synchronizing application and database changes and, in some cases, a serious lack of cooperation between developers and database administrators. The speed and flexibility requirements of DevOps and modern applications can be difficult to achieve in the world of data management with rigid schemas, manual processes and data silos providing obstacles.
To educate IT decision makers and practitioners about the key technologies and strategies for bridging the gap between data management and DevOps, Database Trends and Applications is hosting a special roundtable webinar.
Jeffrey Needham, ConfluentRecorded: Aug 14 201936 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
Michelle Tanco, H2O.aiRecorded: Aug 14 201960 mins
*** Please be aware that the content presented in this webinar will be technical and "code heavy." ***
H2O Driverless AI employs the techniques of expert data scientists in an easy to use application that helps scale your data science efforts. Driverless AI empowers data scientists to work on projects faster using automation and state-of-the-art computing power from GPUs to accomplish tasks in minutes that used to take months.
We're excited to add the ability for users, partners and customers to extend the platform with Bring-Your-Own-Recipe. Domain experts and advanced data scientists can now write their own recipes (Python snippets) and seamlessly extend Driverless AI with their favorite tools from the rich ecosystem of open-source data science and machine learning libraries. In this webinar we'll demonstrate how make a recipe with Driverless AI.
Michelle is a Customer Solutions Engineer & Data Scientist for H2O.ai. Prior to H2O she worked as a Senior Data Science Consultant for Teradata, focused on leading analytics projects to solve cross-industry business problems.
Her background is in pure math and computer science and she is passionate about applying these skills to answer real world questions. When not coding or thinking of analytics, Michelle can be found hanging out with her dog or playing ukulele.
Alex Aidun- Instructor, Purvang Parikh - SARecorded: Aug 14 201965 mins
* Understand the similarities and differences between the Engines and the Clusters
* List the relevant use cases and when to use each Engine / Cluster
* Identify the starting instance type for Engines / Clusters and use cases
Erik Archer Smith, Director of Marketing, Arm Treasure DataRecorded: Aug 14 201959 mins
For the last several years, pundits have predicted that THIS would be the year mass personalization takes off. Industry giants like Facebook and Amazon have been held up as shining examples of how to personalize at scale. But is this level of personalization really needed for all companies on all channels?
In this webinar we’ll share the results of a new Forbes personalization survey with industry benchmarks collected from marketing leaders from global 2000 companies to help better define what’s working, what’s not, and how a Customer Data Platform can be used to maximize personalization results on the right channels that matter for your business.
Marketers will learn:
1. What personalization consumers expect and want from companies and which channels actually matter to customers and prospects and where to get the best ROI for your marketing dollars
2. Strategies for segmenting your customers/prospects by using the data you already have to compete with the data goliaths like Amazon, Netflix and more.
3. How a Customer Data Platform can help enable marketers to be more data driven.
Domino Chief Data Scientist Josh Poduska, and VP of Marketing Jon RooneyRecorded: Aug 14 201978 mins
Navigating Predictive and Interpretable Models
Model ethics, interpretability, and trust will be seminal issues in data science in the coming decade. This technical webinar discusses traditional and modern approaches for interpreting black box models. Additionally, we will review cutting edge research coming out of UCSF, CMU, and industry. This new research reveals holes in traditional approaches like SHAP and LIME when applied to some deep net architectures and introduces a new approach to xML/xAI where interpretability is a hyperparameter in the model building phase rather than a post-modeling exercise. We will provide step-by-step guides that practitioners can use in their work to navigate this interesting space.
We will review code examples of interpretability techniques. You can follow along with the presentation by running your own notebook hosted in Domino's trial environment. Create a free trial account at: http://dominodatalab.com/try?utm_source=brighttalk
Tackling distributed computations and rapidly building accurate and readable leaderboards into multiplayer games is critical for game developers in this space, and it’s a process that can benefit from expert insight into the specific data structures (like sorted sets and hashes) and resources that are incredibly proficient at delivering vital scoring and ranking functionality.
When it comes to massively scaling multiplayer games, there are unique sets of obstacles to address on that front, and Redis Labs - an open source, in-memory data structure store - is hosting a free webinar to help developers overcome those barriers in their own multiplayer projects.
User experience is the heart of the game industry. Creating unique and dynamic experiences is crucial for companies to drive both customer acquisition and retention.
Join this free webinar to learn how to use Redis’ easy to use tools in order to:
- Accelerate analysis across a variety of data sets and data types
- Attain consistency and durability of high-speed transactions
- Auto-scale with multiple cloud providers
- Keep costs down with a significantly-reduced deployment footprint
Howard Dresner, CRO Dresner Advisory Services ; Gaurav Rewari, CEO NumerifyRecorded: Aug 14 201957 mins
IT produces large quantities of data across people, processes, and projects. The value of this extensive data, however, is often not exploited to its full potential.
“Business analytics has become imperative for IT organizations as they seek to improve business alignment, adopt agile principles, and accelerate innovation,” says Howard Dresner, the father of modern BI and founder and chief research officer at Dresner Advisory services. “Deeper analysis of IT people, process, and project data is central to driving change and achieving these goals, and we’re seeing IT leaders rapidly increase adoption of the analytics practices that have been common to the rest of the business for years.”
The Wisdom of Crowds IT Analytics Market Study, published by Dresner Advisory Services, can help you understand where your peers see the value of using IT Business Analytics. Join Howard Dresner, Numerify CEO Gaurav Rewari, and report author Chris von Samson to learn about the following topics:
-Key takeaways for IT leaders from the “IT Analytics Market Study” conducted by Dresner Advisory Services
-How your peers are using Metrics across Plan, Build, and Run processes to make informed decisions
- How Business Intelligence can enable you to adopt advanced analytics like Machine Learning and Artificial Intelligence (AI)
- How Fortune 500 customers use Numerify’s AI powered IT business analytics to drive better outcomes today
Jerry Silva, Research Director Global Banking, IDC Financial InsightsRecorded: Aug 14 201937 mins
To compete effectively in the era of digital transformation, retail banks need to modernise their existing storage infrastructures using newer technologies such as solid-state storage, software-defined infrastructure, AI, and cloud.
Join us as we discuss these trends and more with IDC Analyst Jerry Silva and Mihaela Risca from Pure Storage.
George Khoury - APAC Product Marketing ManagerAug 20 20194:00 amUTC39 mins
Is ‘observability’ just a disingenuous rebrand of ‘monitoring’? Is it monitoring on steroids? Or, is it the new way to find out why, (and not just if) your system or application isn’t working as expected?
Today we see that traditional monitoring approaches can fall short if a system or an application doesn’t adequately externalize its state. To reach ‘observability’, IT needs to correlate many different sources from logs, metrics, traces etc. - and this becomes even more critical (and complex) on distributed systems using containers and microservices.
Join us for this webinar where we will:
See how ‘observability’ differs from ‘monitoring’.
Explore why it is an even bigger challenge in a multi-cloud and containerized world.
Look at how platforms can help you gain observability, while shaping the future of IT with machine learning and predictive IT.
Hamaad Chippa, Director of Industry Consulting and Roland O Ehigiamusoe, Senior Manager, Consumer, Analytics and CognitiveAug 20 20194:30 amUTC32 mins
Retailers are looking to reach customers in as many channels as possible – stores, e-commerce, mobile applications, and partner marketplaces. As one can imagine, managing these various touchpoints and relationships can be complex, especially ensuring information about products are properly defined. As online shopping grew in popularity, retail organizations stood-up dedicated support teams to manage sales and marketing, separate from the rest of the business. Customers now expect retailer companies to interact with them in a seamless manner, regardless of channel.To guarantee brand continuity, a uniform customer experience, and high customer satisfaction, retailers must diligently manage product data, making sure that products are represented properly across all channels. With better product information and insight, retailers will be to engage with customers in a more personal and meaningful way, driving additional revenue.
David Burk, Financial Services Expert & Steve Shissler, SyncsortAug 20 20199:00 amUTC53 mins
Regulatory compliance – and avoiding the stringent fines for noncompliance – is a top concern for banks around the world. Yet, the fast pace of change, and the complexity of regulations, make adhering to these mandates harder than ever. The prerequisite to comply with all these regulations is high-quality, trusted data to ensure effective governance and reporting. By adopting robust data quality practices, not only does your bank benefit by staying compliant, it also reaps the rewards of better business decisions, higher operational efficiency, better customer service and more.
Join us with Financial Services expert David Burk for a discussion on:
• The background for regulatory reporting and key financial regulations
• Understanding how data quality helps institutions succeed with regulatory reporting compliance
• How regulatory reporting improves data for other business decisions
• How financial institutions leverage Trillium DQ to deliver quality data
Erik Bartholomy (LogRhythm) and Eric Parent (Sonepar)Aug 20 201910:00 amUTC47 mins
Building a Cybersecurity Architecture to Combat Today’s Risks:
Foundations, Visions, Testing and the Role of SIEM
The rapid development and adoption of cloud infrastructure, mobile workforces, IoT and other susceptible environments has mandated a reappraisal of security architecture. Modern organisations are recognising their security posture may not be keeping up with the threat landscape, and this leads to frightening discoveries around the safety of their data and networks.
Join Erik Bartholomy – a Security Architect at LogRhythm – and Eric Parent – CISO at Sonepar – to discover how security architecture is developing to face the current threat landscape. Failures in past layered approaches are frequent, and serve as valuable learning lessons on the importance of proactive monitoring and response.
During the webinar our speakers will discuss:
• How LogRhythm’s POC enabled Sonepar’s team to efficiently expedite threat detection, and improve their SOC and analyst efficiency
• The guiding principles and technology behind modern security frameworks and architecture, including the rise in popularity and value of the Zero Trust Framework
• How security architecture helps align IT security with business strategy and current threats
• Adapting architecture to accommodate different environments, including on-premises, cloud, and hybrid cloud
John Noakes and James WilsonAug 20 201910:00 amUTC18 mins
Microsoft Azure – which offers an open, flexible, enterprise-grade cloud computing platform is helping our clients do just that; helping them increase agility, do more and control costs with IaaS and PaaS.
Whether you’ve already migrated some of your workloads or you’re considering migrating to Azure, this webinar shares best practice for operating, managing and securing SQL Database through the Azure platform.
Gary Richardson, MD, Emerging Technology, 6point6Aug 20 201912:00 pmUTC60 mins
How data lineage is more important than ever in the drive towards AI-driven analytics:
Historically Business Intelligence and Analytics has been providing businesses with the insights into how their businesses are operating and what trends are emerging. If a number looked funny an eagled eyed executive could take action and reset the machine, in the world of AI-driven analytics these days are drawing to an end as we increase the ability of machines to take action. The result is data lineage and governance in the age of AI-driven analytics is more important than ever.
Gary Richardson, MD, Emerging Technology, 6point6
Alessandro Chimera, Manufacturing Industry Expert, TIBCO Software Inc.Aug 20 201912:00 pmUTC25 mins
L'attuale tendenza nella produzione industriale è verso prodotti su misura, in lotti più piccoli e con tempi di consegna ravvicinati. Questo cambiamento può portare a frequenti modifiche della produzione, con conseguente aumento dei tempi di fermo macchina, maggiori costi di produzione, sprechi di prodotto e la necessità di rilavorare prodotti difettosi.
Partecipa a questo webinar per capire come le soluzioni di Smart Manufacturing di TIBCO possono aiutarti per affrontare al meglio questa nuova sfida
Gli argomenti trattati saranno:
Applicazione delle tecniche di advanced analytics & machine learning / AI per ottimizzare complessi processi manifatturieri
Come con il controllo statistico multivariato di processo è possibile evidenziare deviazioni da un riferimento non rilevabile con il metodo univariato
Come monitorare in tempo reale l’OEE di fabbrica ed avere una vista a 360 gradi della produzione.
Casi di studi dei nostri clienti
Rob Jackson, Head of Application Architecture at Nationwide Building SocietyAug 20 20192:00 pmUTC49 mins
Open Banking regulations compel the UK’s largest banks, and building societies to enable their customers to share personal information with other regulated companies securely. As a result companies such as Nationwide Building Society are re-architecting their processes and infrastructure around customer needs to reduce the risk of losing relevance and the ability to innovate.
In this online talk, you will learn why, when facing Open Banking regulation and rapidly increasing transaction volumes, Nationwide decided to take load off their back-end systems through real-time streaming of data changes into Apache Kafka®. You will hear how Nationwide started their journey with Apache Kafka®, beginning with the initial use case of creating a real-time data cache using Change Data Capture, Confluent Platform and Microservices. Rob Jackson, Head of Application Architecture, will also cover how Confluent enabled Nationwide to build the stream processing backbone that is being used to re-engineer the entire banking experience including online banking, payment processing and mortgage applications.
Ryan Vance, John Abrams and Al Ford, Dell TechnologiesAug 20 20192:00 pmUTC60 mins
We empower U.S. government agencies with the people, process and technology to protect our nation’s digital future. Come learn how our data center solutions can fit any agency’s need for transformation from the edge to core to cloud. In addition, we will also discuss how data analytics provides you with the opportunity to increase your speed to decision as well as accuracy to decision. Our speaker will also share examples in which an intelligence layer is being added to the data or data analytics capabilities, which include: cyber, RPA, inferencing and multi-INT.
Register for this webinar today to learn more!
Go to the URL below to test your system.
Becky Ransdell, Cisco ITAug 20 20193:00 pmUTC24 mins
When your digital platform is the lifeline of the core business serving a run-rate of $2M/min, the role of IT Ops matters! Cisco shares their digital transformation journey with practical insights on services enabled, services planned, and the underpinning architectural evolution towards an AIOps model for multi-cloud.
In this session, you will:
Hear Cisco IT’s multi-year journey
Discover key use cases for bringing data together from many sources into a common data model
Understand how Cisco is building a unified solution for next-gen application management
Learn how they are adopting a software-defined data center as part of their multi-cloud strategy
Gain insights into how they plan to leverage a real-time data lake to drive automations
John Moran, Senior Product Manager, DFLabsAug 20 20193:00 pmUTC60 mins
Incident response can feel like a constant battle, especially for those analysts who are on the front lines of the organization’s response, struggling every day to protect its resources and minimize risk from any potential security events.
While there are some inherent challenges in incident response which will exist no matter the circumstances, it is the responsibility of security managers and executives to reduce or remove impediments to the incident response process as much as possible. Incident response will never be a frictionless process, however, there are many things we can do to minimize the impediments and provide analysts with the needed resources in order to be successful.
Year after year, security analysts express the same challenges, across all verticals. Even though we have made many important strides in the past several years, it is clear that our current approach is not adequate to completely solve the most pressing challenges we are facing.
Incident response analysts typically possess a high drive and passion for their chosen career. Not being given the proper tools to perform a job can be demoralizing and cause the types of analysts you really want on your team to look elsewhere for career satisfaction. With competition for skilled analysts as strong as ever, this is a real concern.
In order to overcome these challenges, organizations today are increasingly turning to the capabilities of Security Orchestration, Automation and Response (SOAR) technology to help.
Join this webinar to learn more in-depth about these top 5 incident response challenges and how a SOAR solution can be utilized to successfully resolve them:
- Shortage of staffing and skills
- Lack of budget for tools and technology
- Poorly defined processes and owners
- Organizational silos between IR and other groups or between data sources and tasks
- Lack of integration with our other security and monitoring tools
Susan Nee, Sr. Value Engineer at SynitiAug 20 20193:00 pmUTC60 mins
Finance leaders struggle to gather required information due to the diverse and varying systems where financial data is stored. They need a solution to gather, analyze and act upon both the diverse sources and the centralized solution to make informed and timely financial business decisions. As a result, these leaders are moving towards SAP Central Finance and Syniti to bring central finance to reality. Hear how Syniti has used its solutions, experience, and best practices with customers to successfully complete their journey to SAP Central Finance.
Paul Zonfrillo and Mark Green, Strategic Pathways and Neil Swoyer, Dell EMCAug 20 20194:00 pmUTC60 mins
Are you an IT professional looking to get more of your initiatives funded?
•Level Up teaches attendees how to connect your technology strategy to business outcomes.
•Learn how to craft and deliver an effective pitch to business executives
• Elevate the perception of IT within the business
Owais Hashmi, NA Technical Sales Leader, IBM Watson & Cloud PlatformAug 20 20194:00 pmUTC60 mins
AI is expected to revolutionize how all industries operate over the next decade. To become data-driven, organizations are now tapping into Data Science and AI as a technology-enabled business strategy.
Prospering requires increasing the productivity of data scientists, analysts, and developers as well as operationalizing the data science lifecycle from insight to prediction and optimization. Succeeding in this landscape requires understanding what is possible today and what will be available in the future.
Join us in this session to learn the top technology trends in the Data & Analytics space this year and beyond. See how leading organizations like IBM are building solutions to help transform and power the AI led economy.
Manju Devadas, CEO, Pluto7Aug 20 20195:00 pmUTC58 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.
Bruce Beam, (ISC)²; Beth Paredes, (ISC)²; Sommer Hess, (ISC)²; Brandon Dunlap (Moderator)Aug 20 20195:00 pmUTC60 mins
(ISC)² recently completed our multi-year Digital End-to-End Transformation (DETE) project, which positions us to deliver a more a seamless and user-friendly experience to all members. In addition to revamping our online presence, we launched a new Learning Management Systems where members can access all the courses developed by our Professional Development Institute. In Part 2 of the (ISC)² Digital End-to-End Transformation (DETE) will examine how (ISC)² executed the plan for the project, following the AGILE Project Management framework and the buy-in and support from other departments and stake holders within the organization. Additionally, there was board governance and oversight to contend with. Join Bruce Beam, CIO; Beth Paredes, Sr. Corporate Member Services Manager; and Sommer Hess, Director PMO, Quality and Training on August 20, 2019 at 1:00PM Eastern for a discussion on these items and the speed bumps that were run into on this project.
Randy Franklin Smith (UWS) | Greg Foss (LogRhythm)Aug 20 20195:00 pmUTC77 mins
Today’s hackers often favor the phishing email as their weapon of choice. Phishing attacks are not only common, but are also very difficult to defend against. What if you could detect and mitigate a phishing attack before its intended target clicks on that fatal link or opens that malicious attachment?
When your Exchange server is in the Office 365 cloud, solutions such as constant inbox scanning or relying on synchronous mail flow aren’t viable options. Instead, you can find a strong defense against phishing emails in the Message Tracking log in Exchange.
The Message Tracking log is available in both on-prem Exchange and Office 365 Cloud’s Exchange Online. Message Tracking logs include valuable information about the client, servers, sender, recipients, message subject, and more. If you can access this information and know how to mine it, you can detect likely phishing emails.
In this webinar, you’ll learn how to:
- Recognize the format of message tracking logs
- Pull message tracking logs from Office 365 using PowerShell’s Get-MessageTrackingLog cmdlet
- Work through a list of checks to perform against message tracking events to detect phishing emails
- Move suspect emails to a sandbox where you can use analysis tools like PhishTank, ThreatGRID, or OpenDNS
- Remove copies of phishing emails from other recipients
- Automatically detect and respond to phishing attacks with no analyst intervention
- To optimize your phishing response efficiency, LogRhythm has introduced a new open-source Phishing Intelligence Engine (PIE). PIE is a PowerShell framework focused on phishing attack detection and response.
Register for the webinar now to learn how you can use LogRhythm’s PIE and Office 365 to better detect and respond to phishing attacks.
Stephen Mayne, Amazon Web Services, Rich Dill, SnapLogic, Tapan Parekh, Kaplan, Kaushik Perinkulam Ravi, Agilisium ConsultingAug 20 20195:00 pmUTC60 mins
Siloed data prevents organizations from gaining critical business insights. To solve this analytics problem, many are turning to cloud data lake and warehouse solutions from Amazon Web Services (AWS). But standing all this up can be a complex, time-intensive endeavor.
In this webinar, you’ll learn how to:
-- Easily build a data lake environment on the AWS Cloud in minutes
-- Load large volumes of disparate data into Amazon S3 without writing code
-- Rapidly integrate your data lake with Amazon Redshift for analytics
Speakers from AWS, Kaplan Test Prep, SnapLogic, and Agilisium Consulting will show how AWS Quick Start enables you to build and deploy a cloud data lake with ease and confidence. Also, hear how Kaplan streamlines integrations between Amazon S3 and Amazon Redshift with SnapLogic to power its analytics stack. Finally, see a live demo of the Data Lake with SnapLogic on AWS and learn how to migrate big data to AWS yourself.
Stephen Mayne, Partner Solutions Architect, Amazon Web Services
Rich Dill, Enterprise Solution Architect, SnapLogic
Tapan Parekh, Director, Engineering, Data Analytics and Architecture, Kaplan Test Prep
Kaushik Perinkulam Ravi, Director, Cloud Data Integration, Agilisium Consulting (joint AWS and SnapLogic partner)
Matt Hawkins - Principal Solutions Architect - Kinetica | Mark Brooks - Solutions Architect - StreamSetsAug 20 20195:00 pmUTC60 mins
Enterprises are now faced with wrangling massive volumes of complex, streaming data from a variety of different sources, a new paradigm known as extreme data. However, the traditional data integration model that’s based on structured batch data and stable data movement patterns makes it difficult to analyze extreme data in real-time.
Join Matt Hawkins, Principal Solutions Architect at Kinetica and Mark Brooks, Solution Engineer at StreamSets as they share how innovative organizations are modernizing their data stacks with StreamSets and Kinetica to enable faster data movement and analysis.
During this webinar, we will discuss:
-The modern data architecture required for dealing with extreme data
-How StreamSets enables continuous data movement and transformation across the enterprise
-How Kinetica harnesses the power of GPUs to accelerate analytics on streaming data
-A live demo of StreamSets and Kinetica connector to enable high speed data ingestion, queries and data visualization
Alok Dwivedi, Senior Consultant, InstaclustrAug 20 20195:00 pmUTC60 mins
If you are a Software Engineer, Database developer, DBA, DevOps, Enterprise or Solution Architect who has heard of Big Data and NoSQL but doesn't know exactly what the fuss is all about and want to learn more then this webinar is for you.
Apache Cassandra is a highly available, linearly scalable, fault-tolerant database that can offer extremely high throughput and very low latency. It's one of the most popular and most successful NoSQL databases. It has been widely adopted by biggest tech names, major world-renowned brands and research institutes alike. This list includes companies like Apple, Twitter, Facebook, Netflix, Rackspace, Reddit and also research institutes like CERN.
Instaclustr is organizing a multi-part webinar series on Apache Cassandra with an aim to help you in your journey of learning and making the best use of Apache Cassandra.
In part-1 of this series, we will start with demystifying NoSQL, look at Cassandra basics, compare it with RDBMS for good and bad, and then move on to explore concepts like replication, partitioning, token ranges, consistency etc.
John Bell, Sr. Consultant & TW Cook, VP of Engineering & SupportAug 20 20196:00 pmUTC60 mins
When it comes to protecting data, object storage provides significant advantages. In this educational webinar, we will discuss how Swarm Object Storage provides:
--Continuous, built-in data resilience that can be configured to withstand massive hardware failure
--Constant availability of data while maintaining 95% storage utilization for content
--Automated data recovery eliminating the need for error-prone and time-consuming manual management
Diana Kelley, Cybersecurity Field CTO, MicrosoftAug 20 20199:00 pmUTC60 mins
AI will enable breakthrough advances in areas like healthcare, agriculture, education and transportation; it’s already happening in many ways. But new technology also inevitably raises complex questions and broad societal concerns. As we look to a future powered by a partnership between computers and humans, it’s important that we address these challenges head on and address:
• How do we ensure that AI is designed and used responsibly?
• How do we establish ethical principles to protect people?
• How should we govern its use?
• And how will AI impact employment and jobs?
To answer these questions, technologists will need to work closely with government, academia, business, civil society and other stakeholders. And focus on ethical principles – fairness, reliability and safety, privacy and security, inclusivity, transparency, and accountability – to guide the cross-disciplinary development and use of artificial intelligence for business and cyber. In this talk we’ll share the principle ethics of AI & ML and have a discussion about how we can all work together to forward AI and ML use responsibly.
Pablo Alvarez-Yanez, Director of Product Management, DenodoAug 21 20191:30 amUTC47 mins
Digital Transformation, even though a cliche, is definitely on top of every CEO's strategic initiative list. At the heart of any digital transformation, no matter the industry or the size of the company, there is an API strategy. Application programming interfaces (APIs) are the connection points between one application and another, and as such, they enable applications to build on each other, extend each other, and work with each other. Taken together, APIs represent a thriving ecosystem of developers that is showing no sign of slowing down.
Attend this webinar to learn:
- How data virtualization greatly enhances the capabilities of an API
- How data virtualization works as a service container, as a source for microservices and as an API gateway
- How data virtualization can create managed data services ecosystems in a thriving API economy