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Business Intelligence and Analytics

  • Enhancing Analytics with Machine Learning: How AI is Changing the Knowledge Game
    Enhancing Analytics with Machine Learning: How AI is Changing the Knowledge Game
    Melanie Turek VP | Connected Work, Frost & Sullivan Recorded: Aug 16 2019 50 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.
  • How to save +80% in data center costs migrating to Google Cloud Platform (GCP)
    How to save +80% in data center costs migrating to Google Cloud Platform (GCP)
    Jamie Sidey, Chief of Staff for Optiva and Keith Millar, SVP Services Business at Pythian Recorded: Aug 16 2019 35 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
  • Accelerating Data-Centric Transformation with Workload Optimized Solutions
    Accelerating Data-Centric Transformation with Workload Optimized Solutions
    Patti Shaffner Jordan, Director, Data Center Solutions Mktg & Chris Peters, Program Director, Intel Select Solutions, Intel Recorded: Aug 15 2019 51 mins
    Intel® Select Solutions are pre-defined, workload optimized solutions designed to minimize the challenges of data center infrastructure evaluation and deployment. Solutions are validated by OEMs/ODMs, certified by ISVs, and verified by Intel. Intel develops these solutions in extensive collaboration with hardware and software partners and with the world’s leading data center and service providers. Every Intel Select Solution is a tailored combination of Intel's data-centric compute, memory, storage, and network technologies that delivers predictable, trusted, and compelling performance.

    Join this webinar to gain an overview of Intel Select Solutions and learn about our broad portfolio across data-centric workloads from AI to analytics to hybrid cloud and network.
  • Deliver a Better Digital Workspace Experience featuring Forrester
    Deliver a Better Digital Workspace Experience featuring Forrester
    Calvin Hsu, VP of Product Marketing at Citrix, Andrew Hewitt, Analyst Serving Infrastructure & Ops Professionals at Forrester Recorded: Aug 15 2019 65 mins
    As your enterprise looks for better ways to drive employee productivity through a better technology experience, the infusion of intelligence, automation, and personalization into the digital workspace offers exciting potential. In this webinar, digital workspace thought leaders Andrew Hewitt (Forrester Analyst/Guest speaker) and Calvin Hsu (Citrix VP of Product Marketing) will explore the impact of digital workspaces powered by intelligence and automation.

    Attendees of the webinar will learn:
    -The top challenges organizations face in creating a technology experience that enables productivity
    -The evolution of digital workspace technology, and particularly the impact of intelligence and automation within the workspace
    -A day-in-the-life scenario of a digital workspace end user that shows specific processes and advantages
  • Scaling DevOps Episode 2: Scaling CI Environments
    Scaling DevOps Episode 2: Scaling CI Environments
    Roni Dover, Director of Sales Innovation & Meni Besso, Product Manager Recorded: Aug 15 2019 16 mins
    It can be easy to do cutting edge DevOps for small teams working on small-scale projects. However, different problems start to emerge when scaling DevOps processes and operations to multiple (sometimes distributed) teams, complex deployments, multiple technologies (Kubernetes, instances, and serverless functions), and critical production systems with millions of users being affected by each change.

    In the second episode in the series, we will discuss the specific challenges DevOps engineers and developers face in scaling cloud environments for continuous integration and CI tools such as Jenkins or Teamcity. We will discuss how we view the 'shift left' movement and how it impacts the complexity of developing scalable end-to-end automation for your cloud environments.
  • Unlocking Your Offline and Online Customer Data to Boost Campaign Conversions
    Unlocking Your Offline and Online Customer Data to Boost Campaign Conversions
    Kris Irizawa - Director, Analytics and Gio Avila - Director, Business Development Recorded: Aug 15 2019 59 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 

    Save your seat today! 
  • Ask the Expert: Ethics in AI
    Ask the Expert: Ethics in AI
    Alexey Malanov, Malware Expert, Kaspersky Lab Recorded: Aug 15 2019 48 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.
  • Make Your Data Dance – Qlik Virtual Forum Talkshow
    Make Your Data Dance – Qlik Virtual Forum Talkshow
    Robert Fleming, Qlik; Tom Pringle, Ovum; Thomas Barker, Humana; James Fisher, Qlik; Dan Potter, Attunity, a Division of Qlik Recorded: Aug 15 2019 38 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.
  • Top 5 Podcasts: Digital Transformation From Cisco to GE and Beyond with Bill Ruh
    Top 5 Podcasts: Digital Transformation From Cisco to GE and Beyond with Bill Ruh
    Ed Maguire, Principal Partner, Momenta Partners & Bill Ruh, CEO of Digital Business at LendLease Group Recorded: Aug 15 2019 58 mins
    Bill Ruh is CEO of Digital Business at Lendlease Group, a global developer and construction company for high rise and other real estate developments. Previously, he was the Chief Digital Officer for all of GE and CEO of GE Digital. Our conversation explored the nature of digital transformation, the considerations for creating goals and aligning the organization for success. One of the key insights is that transformation for industrial firms draws from best practices of technology companies, and the core principle is that technology companies’ missions are tied to asset optimization and better outcomes. He also shared how large companies need to think of transformation in two speeds – shorter term and longer term, where Speed 1 is the quarter to quarter focus and Speed 2 is the long term “moon shots”. He compares and contrasts the innovation mindset and approaches between startups and established companies, and shares best practices for larger companies to bridge the cultural gaps between their legacy and digital businesses. He also shares his views of the future of the construction and real estate industries enabled by the transformative impact of new technologies, which he is spearheading in his new role at Lendlease.
  • Is Data Still the New Currency?
    Is Data Still the New Currency?
    Primitive Logic CEO Jill Reber & President Kevin Moos Recorded: Aug 15 2019 36 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)
  • Actian Avalanche Live TechTALK
    Actian Avalanche Live TechTALK
    Rob Horton - Senior Sales Engineer Recorded: Aug 15 2019 31 mins
    Join Rob for an overview of Actian Avalanche Multi-Cloud Data Warehouse service. This live webinar will include a demo and live Q&A
  • Total BS: Using Brain Science to Debunk & Transform the Business of Speaking
    Total BS: Using Brain Science to Debunk & Transform the Business of Speaking
    Alyssa Dver, CCO at American Confidence Institute Recorded: Aug 15 2019 62 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.
     
    Learn:
    -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

    About Alyssa

    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. 
  • 5 Lessons learnt from 5 real-world AI Deployments
    5 Lessons learnt from 5 real-world AI Deployments
    Iain Brown, Head of Data Science, SAS UK&I Recorded: Aug 15 2019 46 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
  • How to Make a Recipe with H2O Driverless AI
    How to Make a Recipe with H2O Driverless AI
    Michelle Tanco, H2O.ai Recorded: Aug 14 2019 60 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's bio:
    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.
  • Open Source Testing – The Good, The Bad, The Ugly
    Open Source Testing – The Good, The Bad, The Ugly
    Elise Carmichael, Enterprise Evangelist, Tricentis Recorded: Aug 14 2019 33 mins
    At some point we all commit to automating some of the riskiest use cases because, let’s be honest, something bad happened in production. But how do you proceed? Do you standardize your projects and teams on a single framework or framework style such as BDD? Do you let each team do what they think is best? How will you maintain this new behemoth that you’re about to create? Learn how to answer these and other critical “getting started” questions — as well as track the KPIs vital for demonstrating the ROI on your automation investment.
  • The Truth About Personalization: Using a CDP to Personalize Marketing
    The Truth About Personalization: Using a CDP to Personalize Marketing
    Erik Archer Smith, Director of Marketing, Arm Treasure Data Recorded: Aug 14 2019 59 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.
  • A Data Science Playbook for Explainable ML/AI
    A Data Science Playbook for Explainable ML/AI
    Domino Chief Data Scientist Josh Poduska, and VP of Marketing Jon Rooney Recorded: Aug 14 2019 78 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
  • Why IT Needs Real BI
    Why IT Needs Real BI
    Howard Dresner, CRO Dresner Advisory Services ; Gaurav Rewari, CEO Numerify Recorded: Aug 14 2019 57 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
  • Prognosis for UC Live Demo [August 2019]
    Prognosis for UC Live Demo [August 2019]
    IR Senior Solutions Engineer Recorded: Aug 14 2019 38 mins
    Join one of our Senior Solutions Engineers for a demo of Prognosis for UC, with live Q&A.
  • FREE WEBINAR: Make Your Mark – Bridging the Gender Gap in Telecoms & Tech
    FREE WEBINAR: Make Your Mark – Bridging the Gender Gap in Telecoms & Tech
    Funke Opeke, MainOne | Amy Marks, XSite Modular | Katia Gonzalez Gutiérrez, BICS | Sarah Calveley, AWS Recorded: Aug 14 2019 54 mins
    In celebration of the first inaugural Global Women in Telco & Tech Awards and Summit, Capacity speaks to leading female executives from across the wider telecoms and technology sector about how we close the gender diversity gap in our market, and bring about meaningful change.

    Key takeaways include:
    1) Explore ways to best navigate and manage day-to-day challenges
    2) How can the industry at large best engage with female talent and improve retention
    3) The importance of mentors and sponsors in the advancement of women

    Speakers:

    Funke Opeke
    Funke Opeke, is founder and CEO of MainOne, a broadband infrastructure services provider that built West Africa’s first privately owned, open-access submarine cable system interconnecting Lagos, Nigeria; Accra, Ghana; and Seixal, Portugal in 2010.

    Amy Marks
    As CEO of XSite Modular, Marks has become the preeminent prefabrication consultant and design-builder of Critical Infrastructure Buildings, worldwide.

    Katia Gonzalez Gutiérrez
    Katia is Head of Fraud Prevention Operations and Services at BICS, a leading global wholesale carrier in the Telecom industry. With more than 14 years of experience in the Mobile and Wholesale Telecom industry, Katia also chairs the i3Forum Fraud Group.

    Sarah Calveley
    Sarah Calveley is a Senior Business Manager for the UK and Ireland at Amazon Web Services (AWS) where she is responsible for leading a team and driving strategy to help customers adopt the cloud and digitally transform their business.
  • Makeover Monday Viz Review - week 33, 2019
    Makeover Monday Viz Review - week 33, 2019
    Eva Murray, Head of BI & Tableau Zen Master at Exasol | Sarah Bartlett, Data Visualisation Consultant at Slalom Recorded: Aug 14 2019 55 mins
    Get live feedback on your MakeoverMonday viz in this weekly webinar. Submit your viz by tagging #MMVizReview on Twitter.

    VIZ REVIEW is our way to provide comprehensive feedback for those who want to learn more.

    Find out everything you need to know about Makeover Monday on www.makeovermonday.co.uk (http://www.makeovermonday.co.uk/) and join the conversation on Twitter by following Eva (@TriMyData) as well as the #MakeoverMonday community.
  • Data-Driven Banking in the Digital Era
    Data-Driven Banking in the Digital Era
    Jerry Silva, Research Director Global Banking, IDC Financial Insights Recorded: Aug 14 2019 37 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.
  • Open Source Testing – The Good, The Bad, The Ugly
    Open Source Testing – The Good, The Bad, The Ugly
    Elise Carmichael, Enterprise Evangelist, Tricentis Recorded: Aug 14 2019 33 mins
    At some point we all commit to automating some of the riskiest use cases because, let’s be honest, something bad happened in production. But how do you proceed? Do you standardize your projects and teams on a single framework or framework style such as BDD? Do you let each team do what they think is best? How will you maintain this new behemoth that you’re about to create? Learn how to answer these and other critical “getting started” questions — as well as track the KPIs vital for demonstrating the ROI on your automation investment.
  • How to Optimize Spark Data Pipelines on Azure Databricks
    How to Optimize Spark Data Pipelines on Azure Databricks
    Aengus Rooney, Head of Solution Engineering - International, Unravel Data Recorded: Aug 14 2019 33 mins
    Join Unravel expert Aengus Rooney to develop an understanding of the performance dynamics of modern data pipelines and applications. In this session, you will learn about uncovering and understanding the key datasets, metrics, and best practices needed to develop mastery with Spark performance management on Azure Databricks.
  • Das mobile.de Data Warehouse: DSGVO konform - powered by Exasol & Data Vault
    Das mobile.de Data Warehouse: DSGVO konform - powered by Exasol & Data Vault
    Matthias Wegner, cimt - Michael Schulz, mobile.de - Christian Langmayr, Exasol Recorded: Aug 14 2019 63 mins
    Aufbewahrung, Bereitstellung und Verknüpfung von Daten sind die Grundidee eines Data Warehouse und insbesondere von Data Vault. Dieses Vorgehen steht in manchen Punkten im Konflikt zu den Vorgaben durch die Datenschutzgrundverordnung (DSGVO).

    Erfahren Sie in diesem Webinar aus erster Hand, wie das 10 Jahre alte Data Warehouse bei mobile.de auf eine zeitgemäße Datenbanktechnologie mit Exasol und eine DSGVO konforme Data Vault Architektur gehoben wird. Das neue DWH ist damit hoch flexibel und extrem performant.
  • The 5 Key AI Takeaways for Today's C-Suite (Presented from the UK)
    The 5 Key AI Takeaways for Today's C-Suite (Presented from the UK)
    John Spooner, H2O.ai and John Howe, H2O.ai Aug 19 2019 10:00 am UTC 60 mins
    Due to popular demand, we are presenting this webinar at a UK-friendly time!

    This discussion will explore real-world examples and how to democratize AI in your organization.

    1. Build a Data science culture
    2. Ask the right questions
    3. Connect to the community
    4. Technology considerations
    5. Trust in AI
  • Lesson Learned Applying Natural Language Processing for AI in Healthcare
    Lesson Learned Applying Natural Language Processing for AI in Healthcare
    David Talby, CTO, Pacific AI Aug 19 2019 2:00 pm UTC 45 mins
    We will review case studies from real-world projects that built AI systems that use Natural Language Processing (NLP) in healthcare. These case studies cover projects that deployed automated patient risk prediction, automated diagnosis, clinical guidelines, and revenue cycle optimization.

    We will cover why and how NLP was used, what deep learning models and libraries were used, and what was achieved. Key takeaways for attendees will include applicable best practices for NLP projects including how to build domain-specific healthcare models and using NLP as part of larger machine learning and deep learning pipelines.
  • How to Move from Monitoring to Observability
    How to Move from Monitoring to Observability
    George Khoury - APAC Product Marketing Manager Aug 20 2019 4:00 am UTC 39 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.
  • Reaching new customers by optimizing your product data
    Reaching new customers by optimizing your product data
    Hamaad Chippa, Director of Industry Consulting and Roland O Ehigiamusoe, Senior Manager, Consumer, Analytics and Cognitive Aug 20 2019 4:30 am UTC 32 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.
  • How AI Can Be Used By Almost Anyone For Powerful Analytics
    How AI Can Be Used By Almost Anyone For Powerful Analytics
    Maurice Flynn, Head of AI, TodaysSimpleAI.com Aug 20 2019 10:00 am UTC 60 mins
    This session will cover: How AI Today Can Be Used By Almost Anyone For More Powerful Analytics. Including: What's The Situation Today? What's Changing? How Does It All Work? What About Ethics? Do I Need It? Today’s Challenges? Top Case Studies? How To Ensure Success?

    Join BrightTALK's LinkedIn Group for BI & Analytics!
    - http://bit.ly/BrightTALKBI
  • Best data practices for implementing Artificial Intelligence & Machine Learning
    Best data practices for implementing Artificial Intelligence & Machine Learning
    James Cotton, iWay Solution Aug 20 2019 11:00 am UTC 60 mins
    Poor data quality is enemy number one to the widespread, profitable use of Artificial Intelligence & Machine Learning.” A scary claim. Especially because so many of us know the issue exists, but we don’t know how to address it. In this webinar, we will explore why the “garbage-in, garbage-out” problem in analytics and decision making has remained intractable for generations, as well as some best practice examples of organisations that are doing it right.
  • The machine says….I don't know where I got that number from
    The machine says….I don't know where I got that number from
    Gary Richardson, MD, Emerging Technology, 6point6 Aug 20 2019 12:00 pm UTC 60 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.

    Speaker:
    Gary Richardson, MD, Emerging Technology, 6point6
  • Manufacturing Intelligence: come tenere i processi sotto controllo
    Manufacturing Intelligence: come tenere i processi sotto controllo
    Alessandro Chimera, Manufacturing Industry Expert, TIBCO Software Inc. Aug 20 2019 12:00 pm UTC 25 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
  • Create a Foundation for Agency Innovation with Dell Technologies
    Create a Foundation for Agency Innovation with Dell Technologies
    Ryan Vance, John Abrams and Al Ford, Dell Technologies Aug 20 2019 2:00 pm UTC 60 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.
    https://www.brighttalk.com/webcast/16007/279983/test-your-system
  • NTT 2019 Digital Means Business Benchmarking Report
    NTT 2019 Digital Means Business Benchmarking Report
    Wayne Speechly -VP: Advanced Competencies – NTT Ltd. Aug 20 2019 2:00 pm UTC 60 mins
    Key highlights from the NTT 2019 Digital Means Business Benchmarking Report which provides insights and analysis from surveying more than 1,150 executives across five regions, 15 countries, and 11 industry verticals.

    Digital is starting to gain meaningful traction in organizations. They’re focusing internally to see quick wins but are still grappling with prioritization and organization-wide execution of digital transformation.
  • Introducing Events and Stream Processing into Nationwide Building Society.
    Introducing Events and Stream Processing into Nationwide Building Society.
    Rob Jackson, Head of Application Architecture at Nationwide Building Society Aug 20 2019 2:00 pm UTC 49 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.
  • Cisco IT: A Transformational Journey to Multi-Cloud Operations | Multi-Cloud
    Cisco IT: A Transformational Journey to Multi-Cloud Operations | Multi-Cloud
    Becky Ransdell, Cisco IT Aug 20 2019 3:00 pm UTC 24 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.



    Learning Objectives:

    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
  • Expert Panel: Advanced Analytics Tools and Strategies
    Expert Panel: Advanced Analytics Tools and Strategies
    Panelists to be announced Aug 20 2019 3:00 pm UTC 60 mins
    Tune in to this live panel to discover how industry experts are utilizing machine learning and AI technology to enhance their analytics strategy.

    You'll learn about:

    - The tools AI and machine learning experts are using to deepen their analytics insights
    - Strategies to streamline adoption of AI and machine learning technology in the enterprise
    - Best practices for optimizing your approach to advanced analytics for big data.

    Join BrightTALK's LinkedIn Group for BI & Analytics!
    - http://bit.ly/BrightTALKBI
  • Data & Analytics Technology Trends in AI
    Data & Analytics Technology Trends in AI
    Owais Hashmi, NA Technical Sales Leader, IBM Watson & Cloud Platform Aug 20 2019 4:00 pm UTC 60 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.
  • Build a data lake on AWS in minutes – Live demo
    Build a data lake on AWS in minutes – Live demo
    Stephen Mayne, Amazon Web Services, Rich Dill, SnapLogic, Tapan Parekh, Kaplan, Kaushik Perinkulam Ravi, Agilisium Consulting Aug 20 2019 5:00 pm UTC 60 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.

    Speakers:

    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)
  • Business Transformation with Machine Learning and AI Use Cases on Google Cloud
    Business Transformation with Machine Learning and AI Use Cases on Google Cloud
    Manju Devadas, CEO, Pluto7 Aug 20 2019 5:00 pm UTC 58 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.
  • Apache Cassandra 101
    Apache Cassandra 101
    Alok Dwivedi, Senior Consultant, Instaclustr Aug 20 2019 5:00 pm UTC 60 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.
  • Unlocking the AI-Enhanced Enterprise with Automated Analytics
    Unlocking the AI-Enhanced Enterprise with Automated Analytics
    Michael O’Connell, PhD, Chief Analytics Officer, TIBCO Software Inc. Aug 20 2019 7:00 pm UTC 60 mins
    While humans’ ability to adapt to technological change is increasing, it’s still not keeping pace with the projected rate of innovation in Artificial Intelligence. To overcome this widening gap, the future enterprise workforce must learn to adapt and develop skills to distill more business insights in less time.

    Join this webinar to see how AI-powered techniques are automating guided analytics workflows with the latest advancements in:

    - Smart Recommendations Engines
    - Natural Language Querying
    - Simplified Data Preparation
    - Data Science Functions for Advanced Applications
  • The Ethics of Machine Learning and Artificial Intelligence
    The Ethics of Machine Learning and Artificial Intelligence
    Diana Kelley, Cybersecurity Field CTO, Microsoft Aug 20 2019 9:00 pm UTC 60 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.
  • The Role of Data Virtualization in an API Economy (APAC)
    The Role of Data Virtualization in an API Economy (APAC)
    Pablo Alvarez-Yanez, Director of Product Management, Denodo Aug 21 2019 1:30 am UTC 47 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
  • Keep your AI under Control - Governance of AI
    Keep your AI under Control - Governance of AI
    Dolf van der Haven, Quality and Information Security Manager, Verizon Aug 21 2019 10:00 am UTC 60 mins
    Artificial Intelligence (AI) is becoming widespread and will reach the mainstream soon. With its increasing capabilities, however, how do we ensure that AI keeps doing what we want it to do? What governance frameworks, standards and methods do we have to control AI such that it stays within the bounds of what it was designed for?

    This presentation looks at Governance and Management of AI, including applicable ISO standards, Ethics and Risks.

    Join BrightTALK's LinkedIn Group for BI & Analytics!
    - http://bit.ly/BrightTALKBI
  • Simplify Test Data Management for SAP
    Simplify Test Data Management for SAP
    Andreas Günther, Director of TDM Consulting, Anthem Aug 21 2019 11:00 am UTC 50 mins
    Finding relevant test data is one of the great pains of testing, and GDPR’s restriction on testing with unmasked production data makes a difficult situation even worse. Once you finally receive (or create) appropriate test data, you still have to inject it into the testing framework and transform it across end-to-end tests.

    The complexities of secure, stateful TDM are further exacerbated in SAP environments, where business processes may cross SAP GUI and SAP Fiori, mainframes, and other packaged apps such as Salesforce— and test data may be scattered across Word files, Excel files, databases, flat files, and SAP systems.

    Join this webinar to learn strategies for simplifying test data management across end-to-end tests that involve SAP. You’ll learn:

    - How to choose the best test data approach (synthetic, masked…) for each task
    - Strategies for managing stateful data across end-to-end tests
    - Options for extracting and masking data from SAP environments such as SAP S/4HANA, SAP NetWeaver, and even SAP BW/4 HANA
  • [Ep.1]: AI Drives Measurable Success in Customer Engagement
    [Ep.1]: AI Drives Measurable Success in Customer Engagement
    Robin Gareiss, President & Founder, Nemertes Research Aug 21 2019 12:00 pm UTC 60 mins
    Intelligent Customer Engagement Series [Ep.1] AI Drives Measurable Success in Customer Engagement

    Nearly 50% more companies are using or planning to use AI in their customer engagement initiatives.
    Nemertes recently studied how 518 companies are using AI and analytics to improve their customer experiences. This webinar details:
    • how these companies use AI
    • what measurable improvements resulted.
  • Reimagining Data Governance - The Key to Privacy by Design (1/3)
    Reimagining Data Governance - The Key to Privacy by Design (1/3)
    Paul Garstang & Steve Holyer Aug 21 2019 1:00 pm UTC 75 mins
    With organizations collecting an ever-increasing volume of data, the risk of a data breach or falling foul of a regulator is also increasing, especially as the consequences for non-compliance with data regulations can be enormous. Where private individual’s information is concerned Data security, privacy and protection is clearly a “must have” requirement in most data programs.

    Organizations are starting to realize that effective Data Governance helps an organization to avoid such issues, by defining how its data is to be acquired, stored, backed up, and secured against inappropriate access, theft, or misuse. As the move towards the Democratisation and self-service data platforms increases, the levels of data security inherent in such requirements will need to increase.

    This webinar explores how an effective Data Governance platform must also understand what the sensitive data landscape within the organisation looks like, how that data is being consumed, and therefore how it must be Governed, to ensure Privacy & Compliance standards are achieved.

    As part of the Re-imagining Data Governance series of webinars, Informatica will explore how technology is now bridging the gap between the worlds of Governance and Privacy, to ensure data of the right quality, is accessible when and where it is needed, complete with all the required Privacy & Compliance measures in place. The commercial dividend of this, is to free up project team resource, enabling teams to work faster, with greater freedom and improved agility.