Next Meetup

CROSS PROMOTION: Scale By the Bay 2018 Conference
CROSS PROMOTION: **IBM, Apple, Twitter, Salesforce, Microsoft, Stripe, Lightbend at Scale By The Bay | San Francisco, Nov 15-17, 2018** Don't miss Scale By the Bay 2018 (, an iconic, independent developer conference taking place at Twitter HQ in San Francisco this November. IBM, Apple, Twitter, Salesforce, Microsoft, Stripe, Lightbend, and many other exciting companies’ top experts are speaking, covering three main tracks: Functional and Thoughtful Programming, Reactive Microservices and Streaming Architectures, and End-to-end Data Pipelines all the way up to Machine Learning and AI. Spaces are limited, so book your ticket now. Use the code MEETUP15 for 15% off. Scale By the Bay 2018, our sixth year of the flagship, and by now iconic, independent developer conference By the Bay. The conference follows the established three-day, three track structure, hosted for the third year in a row by Twitter HQ in its wonderful modern building, with all of its spacious tracks, community spaces, cozy booths, and the commons area where so many connections are made during the hallway track. This year, Martin Odersky, the creator of Scala, opens the main conference on November 15. Neha Narkhede, the co-creator of Kafka and cofounder of Confluent, is keynoting the day 2. The three tracks are Functional and Thoughtful Programming Reactive Microservices and Streaming Architectures End-to-end Data Pipelines all the way up to Machine Learning and AI The 100 sessions include technology leaders such as Twitter, IBM, Microsoft, Salesforce, Fauna, DataStax, Databricks, Confluent, Credit Karma, Sumo Logic, GoPro, Buoyant, Workday, MapR, Twilio, Zignal Labs, and many more. We cover your tools with JetBrains, your shopping with Best Buy and Target, your vacations with HomeAway, your listening with Spotify, your viewing with Netflix, your reading with Medium, and your banking with JP Morgan Chase. The list goes on and on and on – we have all the advanced stacks and approaches employed by the best that Silicon Valley offers to the world at scale shared as best practices, with code, yours to learn, take home, and build on it. Our speakers span the whole spectrum for the first-time presenters from the leading companies to veterans of SBTB going all the way back to 2013, evolving their craft before our eyes. You can follow their progress by watching their talks on and the photos of the past conferences. The three panels, closing each day, are Thoughtful Software Engineering Data Engineering for AI, and Cloud, Edge, and Silver Lining Each day begins with a hot breakfast, that begins an uninterruptible supply of Philz coffee through the whole day, and lunch is provided. On the first two days, the flooding panels are followed by our signature happy hours, with great drinks, food, and conversation. The hallway tracks are legendary. SBTB is famous for its bespoke, all-day, build-yourself-a-company training. This year, we double it. Cliff Click, the legend of software engineering, is teaching a full day Advanced Software Engineering workshop on 11/13, followed by Ryan Knight, now of Fauna, teaching cloud-native data pipelines on 11/14. The workshops are limited by 80 participants each, so get your spot early. As last year, we'll plan an unconference track for those who want to share focused ideas in an intimate setting.

Needs a location

    Past Meetups (54)

    What we're about

    This group is for anyone interested in IBM Watson Solutions and IBM Watson Eco System. ALL skill levels are welcome. IBM Watson is an example of a Cognitive System, the next wave of computing. IBM Watson represents a new class of industry specific analytic solutions that leverages deep content analysis and evidence based reasoning. IBM Watson can ingest and analyze Big Data (both structured and unstructured) and discover new patterns and insights in a matter of seconds. A unique combination of three capabilities set IBM Watson apart from other systems: 1. Natural language processing to help understand the complexities of human communication both a means of user interaction and to extract knowledge from sources of data, 2. Hypothesis generation and evaluation by applying advanced analytics to weight and evaluate a panel of responses based on only relevant evidence, 3. Evidence-based learning based on outcomes to get smarter with each iteration and interaction.

    Members (3,055)

    Photos (42)