• IBM Community Day: Business Ready Data for AI

    Needs a location

    REGISTER HERE: http://bit.ly/2vmYZYN NOTE: This is a global event online - Event is Eastern Daylight Time. Join us for IBM Community Day: Business Ready Data for AI to be held on April 25th from 7:00 am to 5:00 pm. This is a free one-day virtual conference targeted for Enterprise Architects, Data Architects, Data Governance Leaders, GRC Leaders, CAO, CDO, Data Stewards, Data Engineers as well as a multitude of other roles, who want to learn about how to govern trusted data for use with AI. AI is not magic; it requires a thoughtful and well-architected approach. Most AI failures are due to poor data preparation and organization, not the AI model themselves. Building a trusted, business-ready analytics foundation is a necessary step in unlocking the value of AI across organizations. This multi-track event is designed for live interactions between speakers and attendees, and will introduce a technical track as well as strategy and innovation sessions and success stories with Business Partners and Clients. Attendees will have the option to schedule a one-on-one meeting with speakers (dependent upon availability) after the conference for additional information. The one-on-ones are conducted through the conference platform. Here is an example of some of the topics that will be covered: • Successful Data Lakes • Master Data Management • Cognitive Data Governance • Application Modernization • Unstructured Data Management • Data Integration • Data Quality • Data Catalog • Information Server & Data Stage It's a packed full day and we're positive that you will learn a lot. REGISTER HERE: http://bit.ly/2vmYZYN (please note that you must register at the above link to be part of the Community Day, and not just RSVP)

  • Think 2019 - Crowd Chat

    Needs a location

    Live on January 17th at Noon EST! Learn how to chart your path on the journey to AI. Join a Crowdchat with Wikibon and IBM experts On January 17 at noon EST to learn about AI-related technologies and get a preview of topics, demos and sessions at Think 2019. https://ibm.co/ThinkCrowdChat This event is Eastern Standard Time.

  • Think 2019: Not Just Another Tech Conference

    Needs a location

    We listened. More importantly, we heard! That's why we designed Think 2019, and it's companion Community Day, with your specific wants and needs in mind. * "I want to see what you're planning for the future with your products and solutions and how it applies to me and my company!" * "I want to hear from people that I find interesting and that have something important I can learn." * "I'm a technical person. This isn't going to be just a bunch of marketing fluff, is it?" * "Can I please get some hands-on time with your products?" * "I want to hear from your developers, not just high-level folks!"u * "I want to hear from your executives about your company's technology directions!" * "I need to hear from your customers how they have successfully implemented solutions with your products!" * "Will I be able to network before, during AND after the conference events, especially for different brands, products, and services?" To answer your questions and give you a taste of what's ahead, IBM executives Rob Thomas (General Manager, IBM Analytics) and Denis Kennelly (General Manager, Cloud Integration) will host a short, to-the-point webinar about the event. REGISTER HERE: https://bit.ly/2BH4697 So join us on January 3rd at 11AM EASTERN STANDARD TIME, bring your questions, and find out why we're so eager to have you with us in San Francisco this February 11-15, 2019. If you can't make the live broadcast click here for the recording - https://ibm.co/2GGSxVh Check out the IBM Community at https://ibm.co/2rImppU to receive your discount for registering for Think 2019 - February[masked]

  • IBM Community Day: Artificial Intelligence

    Needs a location

    REGISTER HERE: http://bit.ly/2x65Rup NOTE: This is a global event online - Event is Eastern Standard Time. Join us for IBM Community Day: Artificial Intelligence to be held on October 11th from 10:00 am to 4:00 pm. This is a free one-day virtual conference targeted for application developers, data stewards, data scientists, data engineers, business analysts, as well as a multitude of other roles, who want to learn about the technologies that prepare data platforms for AI. This multi-track event is designed for live interactions between speakers and attendees, and will introduce technical concepts, IBM and partner solutions, and live demos. All sessions will be recorded for a three-month replay. Attendees will have the option to schedule a one-on-one meeting with speakers (dependent upon availability) after the conference for additional information. The one-on-ones are conducted through the conference platform. Here is an example of some of the sessions you may hear: - Model Asset Exchange - AI and Spark - how do they fit together? - AI Ethics - AI's Elephant in the Room - Building a Secure and Transparent ML Pipeline using Open Source Technologies - No Data, No AI - How to build a stream/real time app that uses ML - Building custom AI web services - Operationalizing ML and A/B test patterns - Governed data science - Automatic ML infused classification for Governance and GDPR compliance - Fast data ingest and analytics - Infrastructure for AI … and more REGISTER HERE: http://bit.ly/2x65Rup (please note that you must register at the above link to be part of the Community Day, and not just RSVP) Agenda and sessions will be updated regularly on the website.

  • Change the Game: Winning with AI

    Global Online Event

    Are you looking for a game changer, the winning play that will unlock the value of your data and harness the power of AI? Watch Change the Game: Winning with AI on September 13 at 6:30 PM EDT. ESPN’s Hannah Storm hosts IBM clients who will share how they are changing the game in their industries: where they see opportunity, challenges they have overcome, and the winning plays they are using to give them the edge. IBM experts will analyze these winning plays and how and why they work. They will also provide a strategic view of today’s data landscape: the transformative potential of AI, the importance of a multi-cloud architecture, and the steps you can take today to ladder up to AI. Watch and learn more at https://ibm.co/2Q4ZBLP

  • Machine Learning Everywhere. Build your ladder to AI.

    Needs a location

    • What we'll do This event is 1:00 pm Eastern Standard Time. To set a calendar reminder go to: https://ibm.co/2npfi3K 2018 is shaping up to be the year machine learning gains widespread implementation as enterprises prepare for the future of artificial intelligence. Are you ready? Want to leverage your IT and data investments as you make the climb? Join us on February 27th at 1:00 pm Eastern Standard Time as IBM experts and industry leaders share a fast, scalable approach toward reimagining IT with machine learning. This one-hour special broadcast will take you through the steps to prepare for the big move, including demos on how to best collect, oranize, secure and analyze your data. Learn how machine learning will accelerate the journey to AI as it penetrates businesses and enterprise functions while it redefines entire industries. Rob Thomas, General Manager of IBM Analytics will host the webcast. Hear from leaders in the industry: - Katie Linendoll, Writer & Contributor for TODAY show - Jeremiah Owyang, Founding Partner, Kaleido Insights - Vitaly Tsivin, EVP Business Intelligence for AMC Networks - Alissa Hess, Executive Director of Enterprise Machine Learning, USAA - Sam Lightstone, IBM Fellow, Master Inventor and Author - Trisha Mahoney, Product Marketer & Data Scientist, IBM Data Science Experience - Dinesh Nirmal, Vice President, IBM Analytics Development - Madhu Kochar, Vice President, IBM Analytics Product Development & Client Success - And SPECIAL GUEST - Garry Kasparov, World Champion of Chess, founder of the Kasparov Chess Foundation. You will also see demos of machine learning in leading-edge data and analytics products: - See how IBM infuses machine learning into the way it interacts with customers - See how you can securely train a model behind your firewall, then easily deploy on the cloud with one click - See futuristic technology that takes database performance to a new level - See how ML accelerates the process of classifying data while increasing its quality This event is hosted in New York City, USA and will be broadcast at 1:00 pm Eastern Standard Time. If you cannot make this time, sign up for the calendar reminder to access the replay date and time. Sign up now for a calendar reminder on February 27th - https://ibm.co/2npfi3K • What to bring • Important to know

  • Fast Track Your Data - Live from Munich, Germany

    Infinity Hotel & Conference Center

    NOTE: • FACE-TO-FACE EVENT BEGINS AT 11:30 CEST (Central European Standard Time) and ends at 20:00. • LIVE STREAM BEGINS AT 13:00 AND ENDS AT 15:00 CEST. Live in Munich and streamed around the world, get the information you need to take advantage of the single biggest advantage you have – your data. You will see live machine learning and data science demos to get your team started making the most of your data right away, while helping you get ready for current and upcoming regulations, such as GDPR (General Data Protection Regulations). Speakers include IBM customers such as ING, industry insiders such as Hilary Mason and Dez Blanchfield, and IBM leaders Rob Thomas, General Manager of IBM Analytics, and Marc Altshuller, General Manager of IBM Business Analytics. Join us on June 22nd in Munich, Germany, to learn more. You can register for the in-person event here. http://ibm.biz/ibmmachinelearning (https://www.ibm.com/analytics/us/en/events/machine-learning/). (please note: You must register for either the in-person event or the livestream. RSVP's are not allowed) Agenda ( CEST): 11:30 - 13:00 - Registration, Lunch & Demonstrations 13:00 - 15:00 - Keynote Session - Hosted by: Kate Silverton - Television Journalist, and Rob Thomas - IBM General Manager (NOTE: this 2 hour session is available via live web broadcast and replay) • Turning Insight into Data Products and Business Advantage - Hilary Mason(Data Scientist in Residence at Accell, Co-founder of Fast Forward Labs) • Data Science is a Team Sport - Dez Blanchfield (Data Science Evangelist, Consultant), Marc Altshuller (General Manager, IBM Business Analytics) and Hilary Mason • Changing Regulations into Assets - Seth Dobrin (Vice President & Chief Data Officer, IBM Analytics), John Bowman (Senior Principal, Promontory Financial Group and GDPR Expert), Henrik van Bruggen (Head of Enterprise Architecture, ING) • The biggest balancing act: Hybrid data management - Dinesh Nirmal (Vice President, Development, IBM Analytics) 15:15 - 17:00 - Breakout Sessions - Engineering our Data Driven Future - Hilary Mason - Presentation and Audience Q&A - Ask a Data Scientist - Audience Q&A with Data Scientists from IBM's Machine Learning Hub in Boeblingen - Data Science and the Business Professional - Dez Blanchfield - GDPR & Compliance - Seth Dobrin, Rob Langhorst (Executive Project Manager and GDPR Specialist, IBM Global Business Services) - Demo: Experience where data goes next: Read your customer's mind 17:15 - 20:00 - Reception. 25+ Demonstrations from IBM and Partners - John Thomas (Distinguished Engineer and Director, IBM Analytics) If you are unable to attend the in-person event in Munich, register for the Web Broadcast by clicking the link below (note: click Register twice to get to choice): http://ibm.biz/ibmmachinelearning (https://www.ibm.com/analytics/us/en/events/machine-learning/). Please note that RSVP's do not guarantee you a seat at the event. Once you register you will be given the URL for the Web Broadcast and replay.

  • Machine Learning Launch


    The demand for machine learning is booming! Calling all IT executives, data scientists, Chief Data Officers, data architects and other data geeks. Join us on February 15th from 2:00-5:30 pm ET via livestream (replay available starting February 16th) , and discover how machine learning is fundamentally changing the way we work and live. Hear about cognitive applications that anticipate behavior and learn from data without being explicitly programmed. You'll learn about the latest breakthrough developments on machine learning as well as Spark, data and analytics. Mike Gualtieri, Vice President and Principal Analyst, Forrester, will present his view on how to best leverage technologies such as big data, predictive analytics, Hadoop/Spark, machine learning, data science, and AI. Rob Thomas, General Manager, IBM Analytics will host an agenda which will include guest speakers and cover the following topics: • Machine Learning Overview • Top Trends in Machine Learning & Cognitive Applications • Cognitive Analytics and Machine Learning for the Enterprise • Live Product Demonstration & Client Roundtable on Machine Learning • Data Innovation with Hybrid Transaction/Analytical Processing • Spark & Machine Learning for Enterprise Systems For additional details and to REGISTER, please visit MACHINE LEARNING. (http://www.ibm.com/analytics/us/en/events/machine-learning/) Register NOW and we'll send you a reminder!

  • Architecting Applications with Apache Hadoop

    Bohemian Auditorium, CSU (Rockwell Hall, #116)

    Abstract Implementing solutions with Apache Hadoop requires understanding not just Hadoop, but a broad range of related projects in the Hadoop ecosystem such as Hive, Pig, Oozie, Sqoop, and Flume. The good news is that there’s an abundance of materials – books, web sites, conferences, etc. – for gaining a deep understanding of Hadoop and these related projects. The bad news is there’s still a scarcity of information on how to integrate these components to implement complete solutions. In this tutorial we’ll walk through an end-to-end case study of a clickstream analytics engine to provide a concrete example of how to architect and implement a complete solution with Hadoop. We’ll use this example to illustrate important topics such as: • Modeling data in Hadoop and selecting optimal storage formats for data stored in Hadoop • Moving data between Hadoop and external data management systems such as relational databases • Moving event-based data such as logs and machine generated data into Hadoop • Accessing and processing data in Hadoop • Orchestrating and scheduling workflows on Hadoop Throughout the example, best practices and considerations for architecting applications on Hadoop will be covered. This talk will be valuable for developers, architects, or project leads who are already knowledgeable about Hadoop, and are now looking for more insight into how it can be leveraged to implement real-world applications. Biography: Mark Grover is a co-author of O'Reilly Hadoop Application Architectures. He is also a committer on Apache Bigtop, a committer and PMC member on Apache Sentry (incubating) and a contributor to Apache Hadoop, Apache Spark, Apache Hive, Apache Sqoop, Apache Pig and Apache Flume. He is a section author of O’Reilly’s book on Apache Hive – Programming Hive. He speaks and blogs frequently on the big data ecosystem and works as a Software Engineer at Cloudera.

  • Predictive Analytics w/ Mike Schumacher

    Community Room @ Council Tree Library

    The digital marketing industry, specifically display advertising, has provided many opportunities for analytical optimization and predictive modeling. In this discussion, Mike will share some of the "Big Data" techniques that solve problems like: • Who is most likely to download a new iPhone app, such as 'DoodleJump'? (technique: Naive Bayes) • How likely is it that a given consumer will purchase from a retailer (e.g. REI) in the next 30 days? (technique: Random Forest) • What is the likelihood that a given iPhone and a laptop belong to the same individual? (technique: rules-based vs. statistical model) About Mike: Mike Schumacher is a marketing analytics professional with experience building predictive models, measuring the effectiveness of digital marketing campaigns, and solving problems through data analysis. Mike has held analytic leadership positions with Mattel, Datalogix/Oracle, and most recently, Alliance Data/Epsilon. Mike holds a MS from Ohio State in Applied Statistics and a BA from the University of North Dakota in Econ/Stats.