- IBM Community Day: Business Ready Data for AI
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
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
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
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
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.
• 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
- Apache Spark and IBM Streams Working Together in Streaming Analytics
Greetings Streamers !! Spark is recognized as a great analytics engine. One of its benefits is its inclusion of machine learning algorithms that can group, predict, classify and even recommend based on the analysis of a corpus of data. Once the model is created, it can be applied to new data. In some situations, there is a need to score the model while the data is streaming to decide what to do with the new data. In this latest Data Science Central Webinar event, you will learn how to process the data to arrive at a model and how the resulting model can be used to score streaming data using IBM Streams. Register Online Here: http://bit.ly/2o4YZag
- Streaming Data Analytics with Apache Spark Streaming
Streaming analytics and Internet Of Things ( IOT) are gaining momentum in the data and analytics industry. Apache Spark established itself as a leader in fast data processing with its ease of use. With its single execution engine and unified programming model for batch and streaming workloads, it stands out from other distributed stream processing engines. Join this webinar to go over basics and internals of the Streaming module of Apache Spark along with code samples. This topic is intended for audiences with some familiarity or working experience with Apache Spark core. Webinar is 3:00 pm EST. Please adjust to your time zone: http://bit.ly/2iHw6yy Apache Spark Streaming: - Architecture and Execution Model - Spark Streaming I/O - Programing model and Streaming Operations (api) - Fault tolerance and reliability - Performance Considerations Presenter Bio: Suresh Matlapudi is an Open Source Analytics Solution Engineer with IBM. He is a hands-on Engineer with deep experience in distributed data processing, Big Data, Data Warehousing and Hybrid Information Architectures. His current work involves supporting sales teams with pre-sales and technical specifications for Open Source Analytics tools, specifically Hadoop/Spark and execution of several outreach programs to support Open Source adoption by Analytics teams. Before joining IBM he was involved in building some of the large-scale data processing systems at companies like eHarmony, Deem, American Express, Knights Bridge Solutions.
- DataFirst Launch Event – Experience new ways to put your data to work
On September 27, 2016, leading minds in data and analytics will come together and unveil the latest in cloud technology, enabling you to more efficiently put data to work. Experience how Spark, Hadoop, Python, and more are being used to bring together all types of data professionals –from data engineers, to data scientists, developers and business analysts –to work in new collaborative ways. The IBM DataFirst Launch Event will unite data and analytics leaders and practitioners from the open source community, startups, and enterprises. Check the event site (http://www.ibm.com/analytics/us/en/events/datafirst/index.html) for the latest lineup of guest speakers. The event takes place @ 6pm at the Hudson Mercantile Building, NYC. Here’s the plan: • The Big Reveal –Experience new ways to work for data engineers, data scientist, developers, and business analysts, both individually and collectively. •Hands-on sessions – With interactive experiences for each of these professions. •Use Cases –Community leaders and guest speakers will share their expertise and vision •Networking Opportunity – Food, drinks, data, collaborative demos, and a party on the rooftop Learn more here: DataFirst Launch Event Check-in and networking begins at 6:00 PM. Food and drinks will be served. You must register for this event. To get your ticket, and attend in person, click HERE (https://www.eventbrite.com/e/ibm-datafirst-launch-event-registration-26725283041). Can't attend in person? We'll be live streaming this event. Register for the LIVE STREAM (https://www.eventbrite.com/e/livestream-ibm-datafirst-launch-event-registration-26906650516)and we'll send you a calendar update and login link.
- Show Us Your Apps - Apache Spark Maker Build Global Hackathon
THIS IS A GLOBAL ON-LINE HACKATHON THAT BEGINS MAY 23, 2016 AND NOW ENDS AUGUST 23, 2016. SUBMISSIONS DUE AUGUST 23rd BY 5:00 PM EST. We’re extending the hackathon deadline to August 23 - that’s 20 additional days to build your Spark enterprise app. (View the revised competition calendar HERE (http://apachespark.devpost.com/details/dates). We're giving you more time because.... We’re adding new enterprise data resources to the site and we want to give you a chance to incorporate these into your projects, if you so choose. Our awesome data co-sponsors Yelp (http://www.yelp.com/nyc) and Uncharted Software (https://uncharted.software/) have generously shared some of their enterprise data sets for you to use during the hackathon. Yelp’s data includes 2.2M reviews by 552K users for 77K businesses. The Uncharted data includes Bitcoin network transactions from processing the Bitcoin blockchain as of mid-2014 and Amazon product reviews from 1995 through 2003. For a fuller description and data access, visit our resources page (http://apachespark.devpost.com/details/resources#datasets). Uncharted Software also has a couple cool Spark data visualization libraries you should check out: Salt (http://unchartedsoftware.github.io/salt/) and SparkPipe. (http://unchartedsoftware.github.io/sparkpipe-core/) And, in case you’d like to weigh the effects of weather on business operations, we’re also offering access to the full suite of Weather Company APIs (http://apachespark.devpost.com/details/weather_data) for the duration of the hackathon. Finally, if you’re looking for a hosting solution for your Spark app, we’re now offering extended Bluemix trials for all hackathon participants. Using Bluemix services to build your project is totally optional, but might be a good way to get your app up and running — particularly with the IBM Analytics for Apache Spark service. You can request your extended Bluemix trial code here. (http://apachespark.devpost.com/details/bluemix_promo) For all hackathon participants, trials will extend through November 1, 2016. Now go forth and optimize for the enterprise! --------------------- Build an Apache Spark application to address a real business problem or core concern related to customer care, marketing, risk management or operations. Join IBM and Devpost for a global hackathon using Apache Spark Makers Build (http://apachespark.devpost.com/?utm_source=facebook-partner&utm_medium=wall-post&utm_campaign=apachespark). There are $100,000 in cash prizes. Submissions can be sent in up to August 23rd. Participation Details: To participate in the global virtual hackathon, you can register here (http://apachespark.devpost.com/?utm_source=facebook-partner&utm_medium=wall-post&utm_campaign=apachespark). Please review all registration guidelines. For the hack, you will apply Apache Spark's powerful analytics capabilities to enterprise and other relevant data so data scientists and software developers can build an analytics or mobile/web app that tackles a key business problem in marketing, customer case, operations or risk management. The grand prize is $50,000, and the top three winners each get a meeting with the judge or Spark community expert of their choice; the judging panel includes data experts from Tesla, Netflix, and Silicon Valley Data Science. Go to apachespark.devpost.com (http://apachespark.devpost.com/?utm_source=facebook-partner&utm_medium=wall-post&utm_campaign=apachespark) for full details and registration. Please review all registration rules. Questions? We're here to help. If you have any questions about the hackathon, post on the discussion forum (http://apachespark.devpost.com/forum_topics) or email [masked] and we'll respond as soon as we can.