• Promise and Peril of Quantum Computing - Session II

    1155 Borregas Ave

    EVENT SUMMARY Within the next decade it’s realistic the bit will be replaced by the qubit, a change that will radically transform society and prepare Homo Sapiens like no other technology since fire, to step boldly into the solar system and beyond. Attending this event is an especially time (and cost) effective way to become acquainted with both the technology and major players in this vibrant emerging sector. Even more, to acquaint a wider audience with why Quantum Computing deserves attention, we're offering a pre-session learning opportunity at 5PM - ‘Q4U’ – Quantum for The Unfamiliar. (More below.) In the main session, you’ll hear from a panel of highly accredited experts describe their work and discuss key issues like: - What approaches both corporations and countries are taking, along with their timetables for deployment - Which applicant sectors are receiving attention - Who’s attracting venture capital and from whom they’re receiving funding - What resources are available for you to become more engaged NOTE: Seating in venue is limited by Fire Marshal regulations. Given the exciting topic and no charge, it's likely the space will fill up quickly. So it’s highly recommended you RSVP now, assuring you a seat. EVENT DETAILS If a commercial scale quantum computer can be built, it will solve a wide range of important problems exponentially faster than even today's best supercomputers. So far, no one has built an industrial grade quantum computer, but as you’ll learn by attending, many companies – some large, other startups – as well as globally recognized research institutions, along with several nations are all working hard to deliver a commercially viable machine. If you’re an ambitious and results-driven entrepreneur, keeping up to speed on the latest developments in Quantum Computing is the best move you can make to assure your continued success. PANELISTS Moderator - Bill Reichert, Garage Technology Ventures Joe Latone, IBM Quantum Stefan Leichenauer, GoogleX Nima Alidoust, Rigetti Yewon Gim, AT&T Palo Alto Foundry Hratch Achadjian, Google Quantum Computing & AI Krithik Puthalath, Cambridge Quantum Computing Fabio Sanches, QCWare NOTE: PRE-SESSION LEARNING OPPORTUNITY - 'Quantum for The Unfamiliar' - ‘Q4U’ If you're struggled with the science behind why Quantum Computers will radically transform society or a bit rusty on what makes quantum devices operate, then come at 5PM and we'll bring you up to speed on 'superposition', 'entanglement' and related cool (literally, near Absolute Zero) quantum phenomena. In summary, attending these highly informative sessions on Quantum Computing is an excellent opportunity to jump into the loop on this technology sure to make a historical impact in both commerce and culture. Lacking the insights the panel will address, you’ll be at a disadvantage to those who are informed of the timetable of this genuinely transformative technology. 5:00 – 6:00PM Pre-Session ‘Q4U’ – Quantum for The Unfamiliar 6:00pm Check in, Networking, Food & Refreshments 6:00 - 6:15 - Introduction 6:15 - 7:15 - Quantum Computing Firms Presenting Product & Progress 7:15 - 8:15 - Panel Discussion 8:15 - 9:00 - Meet Panelists & Networking SPONSORS – Because our sponsors believe in contributing to the startup community, we have access to a great venue, including food/drinks, so you feed both your mind and stomach. VENUE – Google Cloud – Committed to open source and industry leading price performance, Google Cloud platform is fully featured for all enterprises, delivering secure core infrastructure, data analytics and machine learning. FOOD/DRINKS – Buchalter, a regional law firm with offices in Los Angeles, Napa Valley, Orange County, Sacramento, San Diego, San Francisco, Scottsdale and Seattle providing the full suite of business services necessary to assure a company’s commercial success. Questions/comments? Contact Niki Gastinel | [masked] | Nathan Schor | [masked] |[masked]

  • Learn Canvas with Rashid Khan, Cisco Answers Machine, Elastic usecases @ Cisco

    821 Alder Drive Cisco Building 22, Argentina Conference Room, Milpitas, CA

    Come and join us at Cisco on May 2nd. Doors open at 6 pm. The evening's program features: Canvas - Kibana creator Rashid Khan will be on hand to demo and discuss Canvas, a new tool for creating stunning, presentation quality info-graphics backed by live data. He will also show the new SQL language support and how it is used as an expression language inside Canvas. Lighting recap of Elastic {18} - We will highlight significant new features that are coming to the Elastic stack. Cisco's Elasticsearch use cases - Sujith Joseph, is an Enterprise Search Architect (IT) at Cisco. He has been designing and developing enterprise search solutions powered by search engines for over 14 years. The enterprise search platform at Cisco powers cisco.com search and over 50 intranet and internet based search applications. He is passionate about Big Data Analytics, Machine Learning, Search Engines, Container technologies and Photography. In this session, Sujith will give an overview of Cisco's elasticsearch usecases and share learnings from the deployment of Elastic Cloud Enterprise (ECE) for more than a year, on Cisco's UCS infrastructure. He will also share strategies used to achieve large volume indexing using ECE. Cisco Answers Machine (CAM) – (Alok Raj) - CAM uses Machine Learning and Natural Language Processing to extract knowledge from Cisco documentation to answer products related questions. This talk will describe the system architecture for CAM, and explain how it uses ML/NLP to answer natural language questions. Alok Raj is an IT Architect at Cisco Systems. He has designed Wireless Networking, DSP systems, and Collaboration and Content Management systems in the past. Currently he is designing the Cisco Answers Machine that can answer questions about Cisco products. He will be talking more about it in this session.

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  • Smarter Search, Big Data, and Machine Learning

    Cisco Building 18

    For our holiday meeting, we're fortunate to have Lucidworks' Chief Data Engineer Jake Mannix, who tells me he lives at the intersection of search, recommender-systems, and applied machine learning, with an eye for horizontal scalability and distributed systems. Currently Chief Data Engineer at Lucidworks doing research and development of data-driven applications on Lucene/Solr and Spark. To create "smarter search" in today's search engines, we need to understand a) what our users are looking for, b) what kinds of questions they've generally been interested in the past, c) what previous attempts to satisfy this search question have been, d) what others have been feeling were successful answers to this (and related) questions. These questions are difficult in general, but with our user's collective behavior to guide us, an "80% solution" can be achieved by doing that most effective "machine learning model": counting. The next 80% relevance gain can be found in a combination of collaborative filtering recommender systems wired through your search engine, and simple supervised machine learning for query intent classification. If you really need to get the remaining 80% of relevance gains left, you'll need to roll up your sleeves and do some NLP or knowledge graph mining, but first, let's see if you even need to get that far. Have a safe holiday this week and see you in December!

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  • Swiftype: Implementing Enterprise Search in Minutes not Months

    We know Enterprise Search is meant to be an intuitive way for employees to search and access content across multiple cloud data sources, when and where they need it. Unfortunately, we also know that implementing a solution like this has to take months before it's operational, right? Wrong. You don’t have to wait months to ingest content, setup workflow integrations, deploy and start making huge gains in employee productivity. You can get Swiftype Enterprise Search up and running for your company in minutes. With Swiftype’s proprietary Predictive AI Technologies, our Enterprise Knowledge Graph analyzes and normalizes the content and relationships inherent to your corporate data, allowing Swiftype to immediately understand queries exactly the way humans do. Once data sources are selected from a robust connector framework and connected to Swiftype, content can be consumed from a large number of clients and the Enterprise Knowledge Graph begins to correlate relationships, data, users, and behaviors to further personalize searches and suggestions. Join us to discuss how Swiftype is modernizing Enterprise Search and to see a live demo highlight the rich features and ease of implementation for a cloud-based rollout. Presenters: Quin Hoxie, CTO, Swiftype Quin is the co-founder and CTO of Swiftype, which powers enterprise search for companies and search engines for websites and mobile applications. After graduating from University of Arizona in 2008 with a B.S. in Computer Science, Quin worked on search at AboutUs before joining Scribd in 2010 to work on their search team. His experiences building the search platform at Scribd led him to start Swiftype with fellow Scribd engineer Matt Riley in 2012. Agenda: 6:30 - 7:00 – Networking / Food & Drinks 7:00 – 7:40 – Quin Hoxie, CTO, Swiftype 7:40 – 8:00 – Live Demo 8:00 – 8:15 – Q&A 8:15 - 8:45 – Optional - Onsite Swiftype Enterprise Search Trial Test

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  • Enterprise Search & Analytics Meetup: Coveo Search with Machine Learning

    Come join the South Bay Enterprise Search and Analytics on Tuesday, Apr 25 at 7PM, hosted by Cisco. Enterprise Search and Analytic is more than a search box and 15 blue links. Modern enterprise search is based on complex machine learning algorithms and solid technology to improve result relevance and the user experience, helping offset the poor reputation that search has sometimes suffered from when companies would launch search projects with a "fire and forget" mentality, expecting it to work 'just like Google" with no additional effort. Now it's time to "use the force". Machine Learning: The future is here ... From winning chess games to diagnosing illness, artificial intelligence and machine learning are darlings of the tech media. But will these technologies actually have an impact for businesses? Enter “pragmatic AI” or the artificial intelligence-powered technology that is already having an impact on businesses, specifically in the world of enterprise search. Come learn why Coveo was named the leader in the latest Gartner MQ for Insight Engines as well as an opportunity to take a dive under the hood and see how Coveo leverages machine learning to tune relevancy. This talk will demystify the use of machine learning and artificial intelligence in enterprise search, and give you an overview of what's possible when you build on top of Coveo's Platform. You will discover what we do differently and how we do it. Presenters Gauthier Robe, vice president of platform at Coveo™ will explain the technical aspects of machine learning within Coveo™ Machine Learning (Coveo™ ML), and Daniel Cadoch, partner manager at Coveo™, will discuss the journey to relevance with machine learning for companies with the Coveo™ Relevance Maturity Model. Real-Time Search Insights & Analytics Tool from SeaUrchin We'll also have a brief session after Coveo's presentation on some exciting new analytics tools for search. SeaUrchin (seaurchin.io) is a a powerful website analytics tool that gives you insight into user behavior on your web site. It proves insight for both eCommerce and corporate web sites through a variety of capabilities and reports, measuring click-through, conversions, and other critical search-related activities. SeaUrchin partner Miles Kehoe will present its capabilities at a high level, and discuss how this tool can provide valuable insights into user behavior on your website. Agenda 6:30 - 7:00 – Networking / Food & Drinks 7:00 – 7:45 – Coveo Search with Machine Learning & AI / Q&A (Gauthier Robe, Vice President of Platform at Coveo) 7:45 – 8:15 – Search Relevancy with Machine Learning / Q&A (Daniel Cadoch, Partner Manager at Coveo) 8:15 - 8:45 - Real-Time Search Insights & Analytics for your website using SeaUrchin (seaurchin.io) / Q&A (Miles Kehoe, Partner @ SeaUrchin) Address - Cisco Building N, 125 Rio Robles, San Jose, CA 95134

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  • Enterprise Search & Analytics Meetup: Machine Learning in the Elastic Stack

    Come join the re-boot of the South Bay Enterprise Search and Analytics on Thursday, March 30 at 6:30 PM, hosted by Cisco. Agenda 6-6:30 – Networking / Food & Drinks 6:30 – 7:30 - Machine Learning in the Elastic Stack / Q&A (Anoop Sunke, Elastic) 7:30 – 8:00 - Cisco's Journey to Cloud Native / Q&A (Gaurav Goyal, Cisco Systems) 8:00 - 8:30 - ELK in Mesos Cluster / Q&A (Sundar Rajan, Bhuvana Kadapakkam, Cisco Systems) 8:30 - 8:45 - ElasticSearch as a Service using Elastic Cloud Enterprise - Demo, Learnings / Q&A (Sujith Joseph, Cisco Systems) Machine Learning in the Elastic Stack Complex, fast-moving datasets make it nearly impossible to spot infrastructure problems, intruders, or business issues as they happen using rules or humans looking at dashboards. Elastic's machine learning features automatically model the behavior of your Elasticsearch data — trends, periodicity, and more — in real time to identify issues faster, streamline root cause analysis, and reduce false positives. Hear and see from Anoop how it works! Anoop Sunke is a data nerd, coffee lover, and a Solutions Architect at Elastic. As an SA his primary job is to help customers solve tough problems like distributed search, analytics, metrics, and exploding unicorns using the Elastic Stack. Prior to Elastic, Anoop worked at Hortonworks building large scale Hadoop architectures and at Microsoft implementing SQL Server solutions. Cisco's Journey to Cloud Native Gaurav is an IT Architect at Cisco. In his role, Gaurav leads the entire e-Commerce ordering platform for Cisco, focusing on Java/J2EE, MongoDB, Elastic Search, Kafka and other related technologies. His areas of expertise include enterprise data design, systems integration, migrating native applications to the cloud. Gaurav likes to take a pragmatic approach toward delivering software, with a focus on building highly scalable, fault-tolerant and highly supportable applications. Cisco's Commerce Platform, a suite of 35 applications and 300+ services, powers product configuration, pricing, quoting, export compliance, credit checks, and order booking across all Cisco product lines. With a high average, financial value of each transaction, the Platform is a critical part of Cisco's business. In order to improve customer experience and business agility, Cisco decided to transition the Platform to cloud-native technologies, starting with modernizing the underlying database layer. In this session, Gaurav will share details around how they've implemented a 180+ node Elasticsearch deployment to query reference data, and are now experiencing significant resiliency advantages and zero downtime deployment and performance. ELK in Mesos Cluster Cisco IoT data connect team uses ELK for log collection, indexing, search, visualization and alerting. Logs are produced by both infrastructure components as well as applications running as microservices in docker containers. In this session, Sundar will talk about how their team solved some unique challenges for ELK running in a mesos cluster. Sundar Rajan is a tech lead in Cisco’s IoT Data Connect infrastructure team, and works on logging, monitoring, and the CI/CD pipeline. Bhuvana Kadapakkam is a developer in the same team and builds on micro-services in the IoT Data Connect core team. ElasticSearch as a Service using Elastic Cloud Enterprise - Demo, Learnings Sujith Joseph, is the Enterprise Search Architect at Cisco. He has been designing and developing enterprise search solutions powered by search engines for over 12 years. The enterprise search platform at Cisco powers http://Cisco.com search and over 50 intranet and internet based search applications. He is passionate about Big Data Analytics, Machine Learning, Search Engines, Container technologies and Photography. Elastic Cloud Enterprise is an Elastic’s offering, which allows you to provision and use elastic clusters within an Elastic Cloud environment on an enterprise's own docker infrastructure at the click of a button or an API call. In this session, Sujith will give an overview of the Elastic Cloud Enterprise, as well as give a live demo of Elastic Cloud Enterprise, where he will provision, secure and scale an Elasticsearch cluster with just a few clicks. He is going to share his learnings of evaluating this new beta elastic offering on Cisco's UCS infrastructure. Cisco Building O is near Tasman and North First in San Jose.

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  • Meetup - Twigkit in Mtn View next Tuesday Jan 19

    Elastic Search

    Twigkit presentation next week! Sorry for the short notice and the alternate venue in Mountain View - the logistics for this just came together in the last hour! When you work on an enterprise search application, what do you use for for end-user search interface? Search vendors often include either a dumbed-down interface or an overly complex interface that shows off every possible feature - and neither is usually sufficient for real word search apps. Have you wanted a platform neutral search UI too with power and flexibility, that works on any search platform, and be fully customized? Twigkit Twigkit (http://www.twigkit.com/) may be your answer. Next Tuesday, January 19th, Twigkit CEO Stefan Olafsson is in town, and he and group member (and Twigkit employee) Krijn Mosel will introduce us to Twigkit, an exciting and highly customizable engine-neutral front end for search platforms in use around the world. We will hold this month's event at the Elasticsearch office in Mt View, on the ground floor. We'll have refreshments at the event, so bring yourself, your associates, and your question about search front ends - and be prepared to be impressed! Regards Miles

  • Introduction to Algolia Search / Search Analytics

    How do you architect and operate a massive distributed search API for thousands of sites - and do it well 7x24x365? On Thursday July 30th, Sylvain Utard, the VP of Engineering at Algolia Search will talk about how their cloud-based search API delivers high quality results to customers worldwide. Sylvain's skills include technical expertise in search engine implementation, natural language processing, big data analysis and web development. Prior to Algolia, Sylvain led the development of Exalead’s enterprise-oriented document search engine and natural language processing pipeline. Topic - Challenges of building a distributed search API Algolia is a distributed Search-as-a-Service API that processes more than 4 billions user-generated queries per month. Algolia’s DNA is performance: Algolia's service is optimized to reply in milliseconds from any location worldwide while maintaining high availability. Sylvain will provide you details on Algolia architecture, showing how they have designed their fault tolerant service and how they cracked the website & in-app search. Conversations, beverages and food at 630 thanks to our hosts at Cisco; with the program starting at 7PM. Note this is a different Cisco facility than we've had our previous meetups! Please be sure to register so our hosts at Cisco can add your name to the access list.

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  • Exploring Real-Time Aggregations and an introduction to Elasticsearch / ELK

    Exploring Real-Time Aggregations and an introduction to Elasticsearch and the ELK stack - Krijn Mossel, a Solutions Architect with Elastic who has a long history with many different search technologies including FAST, Autonomy and Attivio will be presenting on an Introduction to Elasticsearch and the ELK stack. Andrew Selden, a Core Developer at Elasticsearch, will be presenting on Aggregations for real-time data analytics at scale with Elasticsearch. Many people are familiar with Elasticsearch for its search functionality. Beneath the surface of Elasticsearch is a powerful analytics engine, waiting to be unleashed on your data. 6-6:30 – Networking / Food & Drinks 6:30 – 7:30 - Introduction to Elasticsearch and the ELK stack (45 mins) & Q&A (15 mins) 7:30 – 8:30 - Exploring Real-Time Aggregations (45 mins) & Q&A (15 mins)

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  • March Meeting: Relevancy and Search Quality Analysis

    Cisco Building 18 in the Deep Space Nine Conference Room

    Mark David and Avi Rappoport, our two speakers, have asked me to post the topics they will be addressing: The Manifold Path to Search Quality To achieve accurate search results, we must come to an understanding of the three pillars involved. 1. Understand your data 2. Understand your customers’ intent 3. Understand your search engine The first path passes through Data Analysis and Text Processing. The second passes through Query Processing, Log Analysis, and Result Presentation. Everything learned from those explorations feeds into the final path of Relevancy Ranking. Search quality is focused on end users finding what they want -- technical relevance is sometimes irrelevant! Working with the short head (very frequent queries) has the most return on investment for improving the search experience, tuning the results, for example, to emphasize recent documents or de-emphasize archive documents, near-duplicate detection, exposing diverse results in ambiguous situations, using synonyms, and guiding search via best bets and auto-suggest. Long-tail analysis can reveal user intent by detecting patterns, discovering related terms, and identifying the most fruitful results by aggregated behavior. all this feeds back into the regression testing, which provides reliable metrics to evaluate the changes. By merging these insights, you can improve the quality of the search overall, in a scalable and maintainable fashion. ============ We'll again be meeting at Cisco in Santa Clara, with thanks to them for providing the infrastructure and support for the meet-up! see you then! Miles

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