• 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 Standard 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

  • Introduction to Artificial Intelligence (AI)

    IBM Silicon Valley Lab

    This is an AI beginner level discussion. We'll be discussing what Artificial Intelligence is, the problems that AI is trying to solve, and some use cases for deploying the technologies. Also discussed will be some of the challenges organizations might experience getting AI initiatives off the ground, and software and hardware requirements for getting started. We will also have some AI demonstrations. Speaker: Jeff Boleman is a Cognitive Technical Architect with IBM. He is an experienced IT thought leader for technical sales, consulting, software development, financial services and academia. He brings his BS and MS in Computer Science education combined with real world experience to applied areas including cloud, automation and large scale architecture needed for ERP, HPC, Big Data and AI/ML/DL. Jeff has written and instructed on operating systems, systems architecture, networking, virtualization and cloud. His most recently published whitepaper in May 2018 addresses the skills needed for a cloud enabled workforce. Refreshments will be served. PLEASE NOTE - YOU MUST PROVIDE YOUR FULL FIRST NAME AND LAST NAME FOR IBM SECURITY.

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  • DataWorks Summit San Jose - IBM Meetup

    San Jose Convention Center

    Join IBM for some networking and very interesting topics. You do not have to be registered for Data Works Summit to attend the meetup. 6:00 - 6:30 - Welcome and networking 6:30 - 6:50 - Machine Learning Models in Production Data Scientists and Machine Learning practitioners, nowadays, seem to be churning out models by the dozen and they continuously experiment to find ways to improve their accuracies. They also use a variety of ML and DL frameworks & languages , and a typical organization may find that this results in a heterogenous, complicated bunch of assets that require different types of runtimes, resources and sometimes even specialized compute to operate efficiently. Enterprises also require additional auditing and authorizations built in, approval processes and still support a "continuous delivery" paradigm whereby a data scientist can enable insights faster. Not all models are created equal, nor are consumers of a model - so enterprises require both metering and allocation of compute resources for SLAs. We will take a look at how machine learning is operationalized in IBM Data Science Experience (DSX), a Kubernetes based offering for the Private Cloud and optimized for the HortonWorks Hadoop Data Platform. DSX essentially brings in typical software engineering development practices to Data Science, organizing the dev->test->production for machine learning assets in much the same way as typical software deployments. We will also see what it means to deploy, monitor accuracies and even rollback models & customer scorers as well as how API based techniques enable consuming business processes & applications to remain relatively stable amidst all the chaos. Speaker: Sriram Srinivasan, Architect, DSX, IBM Analytics 6:50 - 7:10 - Enabling a hardware accelerated deep learning data science experience for Apache Spark and Hadoop Large unstructured data sets such as images, videos, speech and text are great for deep learning, but impose a lot of demands on computing resources. New types of hardware architectures such as GPUs, faster interconnects (e.g. NVLink) and RDMA capable networking interfaces from Mellanox available on OpenPOWER and IBM Power Systems are enabling practical speedups for deep learning. This session will show how to deploy interactive and batch model training and deployment for deep learning using a combination of Docker, Kubernetes, Spark and Hadoop running on accelerated hardware. Speaker: Indrajit Poddar, STSM, IBM Cognitive Systems, Systems 7:10 - 7:30 - Exploring Graph Use Cases with JanusGraph Graph databases are relative newcomers in the NoSQL database landscape. What are some graph model and design considerations when choosing a graph database in your architecture? Let's take a tour of a couple graph use cases that we've collaborated on recently with our clients to help you better understand how and why a graph database can be integrated to help solve problems found with connected data. Speaker: Jason Plurad, Software Engineer - Open Technology 7:30 - 7:50 - Achieve Better Analytics and Deeper Insights With IBM Digital Insights Platform Managing big data is a constant challenge; now you can derive deeper insights in a more timely and cost effective fashion from your data to achieve impactful business outcomes. This data and analytics-as-a-service approach allows organizations to meet the challenging cost of data management and digital transformation at scale. IBM's Digital Insights Platform allows for rapid development of analytic capabilities with its pre-assembled packages of data management, cognitive technologies and industry-specific processes. With Hortonworks as the base platform, the Digital Insights Platform brings speed and scale to your enterprise so you can start using your data to generate value quickly. Speaker: Tony Giordano, Partner & VP, Data Platform Services, IBM 7:50 - 8:00 - Q&A

  • Machine Learning meets Data Warehousing

    IBM Watson

    Gaining the intuition and skills necessary to manage infrastructure to solve problems with data science and machine learning is challenging. Organize your data on premise or in the Cloud and learn how to take advantage of Machine learning and Data science to put your data to work for your company. If your organization is faced with data challenges like accessing new data sources, working with a variety of formats or siloed data sources, getting the insights you need from the data you depend on, regardless of where it lives, is critical. We will share ideas related to recent shifts in engineering approaches relevant to deploying machine learning and data science with enterprise data, giving users access to powerful data science and machine learning tools. Learn about our common SQL engine providing federation, low latency and support for ad-hoc and complex queries for your data users. Hands on demo of Machine Learning with the latest data model technologies. Speakers: Hemant Suri: Hybrid Data Warehouse Offering Manager, Christopher Reuter: Hybrid Data Warehouse Evangelist IBM Security requests that you use your full name when RSVPing. Please ensure you have a photo available at check-in.

  • Deep Learning & Cognitive Computing Briefing & Coding Lab

    PLEASE NOTE THAT THIS WORKSHOP IS FOR FINANCIAL SERVICES INDUSTRY ONLY. TO RESERVE YOUR SEAT, YOU MUST REGISTER AT THE LINKS BELOW FOR BOTH DAY 1 AND DAY 2. Day 1 Agenda - At this briefing you'll be provided with training by instructos from NVIDA's Deep Learning Institute on the latest techniques for designing, training, and deploying neural networks. IBM and NVIDIA experts will also discuss the transformation from processor to cognitive centric systems and introduce how deep learning and machine learning can help your enterprise analyze and unlock data to deliver faster insights to make better decisions. • Introductions • AI Trends and Directions • Object Detection with DIGITS • Lunch Break – Provided • Text Classification with Keras • Analytics, Machine Learning and Deep Learning with PowerAI, AI Vision, Conductor with Spark, deployed on IBM’s OpenPower Server Line Audience: • Data Scientists & Data Analysts • IT and Line of Business Executives REGISTER HERE: https://www.eventbrite.com/e/deep-learning-cognitive-computing-briefing-bay-areatickets-44885092520 Day 2 is optional - Hands-on Workshop with TensorFlow - full day of training with NVIDIA Deep Learning Institute Instructor on Financial Deep Learning Use Cases. Lab 1: Trading Strategy for Finance using LSTMs (Level beginner) Lab 2: Deep Auto encoder based Statistical Arbitrage Strategy (Level intermediate) Lab 3: Deep Reinforcement Learning for Optimal Trade Execution (Level Advanced) REGISTER HERE: https://www.eventbrite.com/e/deep-learning-coding-laboratory-bay-area-tickets-44885666236 Both days will have food and beverage provided. Please NOTE that you must register to reserve your seat in both classes. Once you register, drop an email to [masked] so that we know you are coming.

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  • 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