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In just a few short years, search has quickly evolved from being a small text box in the nether regions of a website to being front and center in our lives. Increasingly, however, search engine technology is also being used for practical, real time recommendations, events processing, complex spatial functionality and time series analysis capable of not only matching user's queries in text, but also driving real time decision making and analytics. In fact, open source Apache Lucene/Solr can do all of this and more by taking advantage of new data structures and algorithms that complement more traditional IR approaches. In this demo-driven talk, Lucene committer Grant Ingersoll will take a look at some of the new and exciting ways users are leveraging Lucene/Solr and related technology to drive deeper insight into information needs that go beyond keywords in a text box.

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REST (REpresentational State Transfer) continues to be the dominant way to provide a standard method for data access in a web environment. There are a lot of discussions on what makes a good RESTful API, but examples are sometimes hard to come by. How do you structure your code to enable REST but also ensure that you can update and maintain the code over the long haul? It this talk I will walk through some of the things that I have learned in implementing a RESTful API. We will discuss some of the following topics: * Landmines - what are some things not to do when developing your REST stack * Pure data vs hypermedia (HATEOAS anyone?) * Layering the stack to enable automated testing at all tiers * Securing your endpoints * Testing -- tools to explore and validate your endpoints

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This talk is aimed at understanding how ranking of documents works with Solr and ways to improve relevancy your search application. The first part of the talk will cover how a user query gets parsed in Solr and the default scoring which comes with it. The second part of the talk covers how to customize scoring to work better with your dataset by experimenting with the available similarity implementations and writing your own similarity implementation. Finally I will talk about adding different relevancy signals into your ranking algorithm and customizing results for your top N queries.

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Newer REST-based APIs are starting to use HATEOAS, which stands for Hypermedia as the Engine of Application State. The central idea of HATEOAS is to allow the server to control the state transitions instead of hard coding all the links into the client. We've integrated a HATEOAS layer in the Ext JS framework based on the HAL standard (http://stateless.co/hal_specification.html) and into the Ext JS model and store system. We will be showing the techniques we used to accomplish this in a way that keeps the Ext JS model and store usage the same as the standard mechanism.

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Analytics in Search Many companies including Lucidworks have embraced the Kibana open source code to add visualization and analytics to enhance search management. Ravi Krishnamurthy , VP of Professional Services at Lucidworks, will show Silk, Lucid's implementation of Kibana, which provides all the capabilities of the open source code but adds enterprise-critical capabilities like authentication and security to protect restricted content.

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Search engines are known for "relevancy", but the relevancy models that ship out of the box (BM25, classic tf-idf, etc.) are just scratching the surface of what's needed for a truly insightful application. What if your search engine could automatically tune its own domain-specific relevancy model based on user interactions? What if it could learn the important phrases and topics within your domain, learn the conceptual relationships embedded within your documents, and even use machine-learned ranking to discover the relative importance of different features and then automatically optimize its own ranking algorithms for your domain? What if you could further use SQL queries to explore these relationships within your own BI tools and return results in ranked order to deliver relevance-driven analytics visualizations? In this presentation, we'll walk through how you can leverage the myriad of capabilities in the Apache Solr ecosystem (such as the Solr Text Tagger, Semantic Knowledge Graph, Spark-Solr, Solr SQL, learning to rank, probabilistic query parsing, and Lucidworks Fusion) to build self-learning, relevance-first search, recommendations, and data analytics applications.

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Search engines, and Apache Solr in particular, are quickly shifting the focus away from “big data” systems storing massive amounts of raw (but largely unharnessed) content, to “smart data” systems where the most relevant and actionable content is quickly surfaced instead. Apache Solr is the blazing-fast and fault-tolerant distributed search engine leveraged by 90% of Fortune 500 companies. As a community-driven open source project, Solr brings in diverse contributions from many of the top companies in the world, particularly those for whom returning the most relevant results is mission critical. Out of the box, Solr includes advanced capabilities like learning to rank (machine-learned ranking), graph queries and distributed graph traversals, job scheduling for processing batch and streaming data workloads, the ability to build and deploy machine learning models, and a wide variety of query parsers and functions allowing you to very easily build highly relevant and domain-specific semantic search, recommendations, or personalized search experiences. These days, Solr even enables you to run SQL queries directly against it, mixing and matching the full power of Solr’s free-text, geospatial, and other search capabilities with the a prominent query language already known by most developers (and which many external systems can use to query Solr directly). Due to the community-oriented nature of Solr, the ecosystem of capabilities also spans well beyond just the core project. In this talk, we’ll also cover several other projects within the larger Apache Lucene/Solr ecosystem that further enhance Solr’s smart data capabilities: bi-directional integration of Apache Spark and Solr’s capabilities, large-scale entity extraction, semantic knowledge graphs for discovering, traversing, and scoring meaningful relationships within your data, auto-generation of domain-specific ontologies, running SPARQL queries against Solr on RDF triples, probabilistic identification of key phrases within a query or document, conceptual search leveraging Word2Vec, and even Lucidworks’ own Fusion project which extends Solr to provide an enterprise-ready smart data platform out of the box. We’ll dive into how all of these capabilities can fit within your data science toolbox, and you’ll come away with a really good feel for how to build highly relevant “smart data” applications leveraging these key technologies.

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Join Lucidworks Senior Director of Product Avi Raju and Technical Engagement Manager Andy Oliver for a guided tour of what’s new and improved with our latest release of Fusion 4.1, including: - App Studio integration so you can go from data ingest to a working search application in minutes. - Fusion Apps, a grouping of objects that can be exported and shared amongst Fusion instances, reducing time to deployment for new applications. - New data acquisition capabilities to load and analyze massive amounts of data from data stores like Cassandra, Hive, and HBase. - An improved Connectors SDK that allows data to be ingested from any data source. - Improved SQL capabilities to query your index with commands and tools you already know with subsecond (~250ms) response time across billions of documents including endpoints to connect with popular BI tools like Tableau, Microsoft Power BI, and Apache Zeppelin.

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LucidWorks App for Splunk Enterprise is the first of its kind, specifically designed to allow companies to analyze and manage the health and availability of their Solr deployments in Splunk software. The solution integrates multi-structured data indexed by Solr directly into Splunk® Enterprise, giving system administrators the ability to look at the intersection of documents, customer records or other unstructured data sources as they relate to machine data. This enables companies to optimize their Solr applications, glean insights from search and usage patterns and spot security concerns to improve end user experiences and derive more business value from data-driven applications. This webinar will explore the features of the App, and provide attendees with valuable information on the following key components: Solr Monitor: Monitor the health and availability and utilization of LucidWorks and/or Solr deployments with pre-defined data inputs, dashboards and reports Search Analytics: Perform user behavior and click-stream analysis with pre-built search analytics reports and fields NoSQL Lookups: Using Splunk’s lookup facility enrich your Splunk reports with data of any structure using Solr’s fully indexed and searchable NoSQL-datastore Search Time Joins: Join Splunk data with human generated and other unstructured data sources stored in Solr at search time for developing data-driven applications

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With ecommerce experiencing explosive growth, it seems intuitive that the B2B segment of that ecosystem is mirroring the same trajectory. That said, B2B has very different needs when it comes to transacting with the same style of experiences that we see in B2C. For instance, B2B ecommerce is about precision findability, whereas B2C customers can convert at higher rates when they’re just browsing online. In order for the B2B buying experience to be successful, search needs to be tuned to meet the unique needs of the segment. In this webinar with Forrester senior analyst Joe Cicman, you’ll learn: -Which verticals in B2B will drive the most growth, and how machine-learning powered personalization tactics can be deployed to support those specific verticals -Why an omnichannel selling approach must be deployed in order to see success in B2B -How deploying content search capabilities will support a longer sales cycle at scale -What the next steps are to support a robust B2B commerce strategy supported by new technology Speakers Joe Cicman, Senior Analyst, Forrester Jenny Gomez, VP of Marketing, Lucidworks

Search is the Tip of the Spear for Your B2B eCommerce Strategy

Customer loyalty starts with quickly responding to your customer’s needs. When it comes to resolving open support cases, time is of the essence. Time spent searching for answers adds up and creates inefficiencies in resolving cases at scale. Relevant answers need to be a few clicks away and easily accessible for agents directly from their service console. We will explore how Lucidworks’ Agent Insights application automatically connects agents with the correct answers and resources. You’ll learn how to: -Configure a proactive widget in an agent’s case view page to access resources across third-party systems (such as Sharepoint, Confluence, JIRA, Zendesk, and ServiceNow). -Easily set up query pipelines to autonomously route assets and resources that are relevant to the case-at-hand—directly to the right agent. -Identify subject matter experts within your support data and access tribal knowledge with lightning-fast speed.

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Lunch and Learn during Retail TouchPoints #RIC21 virtual event. *** Crate & Barrel’s previous search solution couldn’t provide its shoppers with an online search and browse experience consistent with the customer-centric Crate & Barrel brand. Meanwhile, Crate & Barrel merchandisers spent the bulk of their time manually creating and maintaining search rules. The search experience impacted customer retention, loyalty, and revenue growth. Join this lunch & learn for an interactive chat on how Crate & Barrel partnered with Lucidworks to: -Improve search and browse by modernizing the technology stack with ML-based personalization and merchandising solutions -Enhance the experience for both shoppers and merchandisers -Explore signals to transform the omnichannel shopping experience Questions? Visit https://lucidworks.com/contact/

How Crate & Barrel Connects Shoppers with Relevant Products

Learn how to guide customers to relevant products using eCommerce search, hyper-personalisation, and recommendations in our ‘Best-In-Class Retail Product Discovery’ webinar. Nowadays, shoppers want their online experience to be engaging, inspirational and fulfilling. They want to find what they’re looking for quickly and easily. If the sought after item isn’t available, they want the next best product or content surfaced to them. They want a website to understand their goals as though they were talking to a sales assistant in person, in-store. In this webinar, we explore IMRG industry data insights and a best-in-class example of retail product discovery. You’ll learn: - How AI can drive increased revenue through hyper-personalised experiences - How user intent can be easily understood and results displayed immediately - How merchandisers can be empowered to curate results and product placement – all without having to rely on IT. Presented by: Dave Hawkins, Principal Sales Engineer - Lucidworks Matthew Walsh, Director of Data & Retail - IMRG

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Many companies claim personalization and omnichannel capabilities are top priorities. Few are able to deliver on those experiences. For a recent Lucidworks-commissioned study, Forrester Consulting surveyed 350+ global business decision-makers to see what gets in the way of achieving these goals. They discovered that inefficient technology, lack of behavioral insights, and failure to tie initiatives to enterprise-wide goals are some of the most frequent blockers to personalization success. Join guest speaker, Forrester VP and Principal Analyst, Brendan Witcher, and Lucidworks CEO, Will Hayes, to hear the results of the Forrester Consulting study, how to avoid “digital blindness,” and how to apply VoC data in real-time to delight customers with personalized experiences connected across every touchpoint. In this webinar, you’ll learn: - Why companies who utilize real-time customer signals report more effective personalization - How to connect employees and customers in a shared experience through search and browse - How Lucidworks clients Lenovo, Morgan Stanley and Red Hat fast-tracked improvements in conversion, engagement and customer satisfaction Featuring - Will Hayes, CEO, Lucidworks - Brendan Witcher, VP, Principal Analyst, Forrester

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Intelligent Policing. Leveraging Data to more effectively Serve Communities. Policing in the next decade is anticipated to be very different from historical methods. More data driven, more focused on the intricacies of communities they serve and more open and collaborative to make informed recommendations a reality. Whether its social populations, NIBRS or organization improvement that’s the driver, the IT requirement is largely the same. Provide 360 access to large volumes of siloed data to gain a full 360 understanding of existing connections and patterns for improved insight and recommendation. Join us for a round table discussion of how the Toronto Police Service is better serving their community through deploying a unified intelligent data platform. Data innovation improves officers' engagement with existing data and streamlines investigation workflows by enhancing collaboration. This improved visibility into existing police data allows for a more intelligent and responsive police force. In this webinar, we'll cover: -The technology needs of an intelligent police force. -How a Global Search improves an officer's interaction with existing data. Featuring: -Simon Taylor, VP, Worldwide Channels & Alliances, Lucidworks -Michael Cizmar, Managing Director, MC+A -Ian Williams, Manager of Analytics & Innovation, Toronto Police Service

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Policing in the next decade is anticipated to be very different from historical methods. More data driven, more focused on the intricacies of communities they serve and more open and collaborative to make informed recommendations a reality. Whether its social populations, NIBRS or organization improvement that’s the driver, the IT requirement is largely the same. Provide 360 access to large volumes of siloed data to gain a full 360 understanding of existing connections and patterns for improved insight and recommendation. Join us for a round table discussion of how the Toronto Police Service is better serving their community through deploying a unified intelligent data platform. Data innovation improves officers' engagement with existing data and streamlines investigation workflows by enhancing collaboration. This improved visibility into existing police data allows for a more intelligent and responsive police force. In this webinar, we'll cover: The technology needs of an intelligent police force. How a Global Search improves an officer's interaction with existing data. Featuring -Simon Taylor, VP, Worldwide Channels & Alliances, Lucidworks -Michael Cizmar, Managing Director, MC+A -Ian Williams, Manager of Analytics & Innovation, Toronto Police Service

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Wish your conversion rates were higher? Can’t figure out how to efficiently and effectively serve all the visitors on your site? Embarrassed by the quality of your product discovery experience? The bar is high and the influx of online shopping over recent months has reminded us that the opportunities are real. We’re all deep in holiday prep, but let’s take a few minutes to think about January 2021 and beyond. How can we position ourselves for success with our customers and against our competition? Grab your lunch and let’s dive into three strategies that need to be part of your 2021 roadmap. You don’t need an army to get there. But you do need to take action and capitalize on the shoppers abandoning the product discovery journey on your site. In this session, attendees will find out how to: -Take control of merchandising at scale; -Implement hands-free search relevancy; and -Address personalization challenges.

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For a personalized search experience, search curation requires robust text interpretation, data enrichment, relevancy tuning and recommendations. In order to achieve this, language and entity identification are crucial. For teams working on search applications, advanced language packages allow them to achieve greater recall without sacrificing precision. Join us for a guided tour of our new Advanced Linguistics packages, available in Fusion, thanks to the technology partnership between Lucidworks and Basistech. We’ll explore the application of language identification and entity extraction in the context of search, along with practical examples of personalizing search and enhancing entity extraction. In this webinar, we’ll cover: -How Fusion uses the Rosette Basic Linguistics and Entity Extraction packages -Tips for improving language identification and treatment as well as data enrichment for personalization -Speech2 demo modeling Active Recommendation -Use Rosette’s packages with Fusion Pipelines to build custom entities for specific domain use cases Featuring: -Radu Miclaus, Director of Product, AI and Cloud, Lucidworks, Lucidworks -Robert Lucarini, Senior Software Engineer, Lucidworks -Nick Belanger, Solutions Engineer, Basis Technology

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Before COVID-19, almost 80% of the US workforce worked service in jobs that involve in-person interaction with strangers. Now, leaders of service organizations must reshape their offerings during the pandemic and prepare for whatever the new normal turns out to be. Our three panelists will share ideas for adapting their service businesses, now that closer-than-six-feet isn’t an option. Join Lucidworks as we talk shop with 3 service business leaders, covering: -Common impacts of the pandemic on service businesses (and what to do about them), -How service teams can maintain a human touch across virtual channels, and -Plans for the future, before and after the pandemic subsides. Featuring -Sara Nathan, President & CEO, AMIGOS -Anthony Carruesco, Founder, AC Fly Fishing -sara bradley, chef and proprietor, freight house -Justin Sears, VP Product Marketing, Lucidworks

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The COVID-19 pandemic has forced companies to support far more customers and employees through digital channels than ever before. Many are turning to chatbots to help meet increasing demand, but traditional rules-based approaches can’t keep up. Our new Smart Answers add-on to Lucidworks Fusion makes existing chatbots and virtual assistants more intelligent and more valuable to the people you serve.

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Watch our on-demand webinar showcasing Smart Answers on Lucidworks Fusion. This technology makes existing chatbots and virtual assistants more intelligent and more valuable to the people you serve. In this webinar, we’ll cover off: -How search and deep learning extend conversational frameworks for improved experiences -How Smart Answers improves customer care, call deflection, and employee self-service -A live demo of Smart Answers for multi-channel self-service support

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In the current climate, it’s now more important than ever to digitally enable your workforce and customers. Hear from Simon Taylor, VP Global Partners & Alliances, Lucidworks and Matt Aslett, Research Vice President, 451 Research to get the inside scoop on how industry leaders in Europe are developing and executing their digital transformation strategies. In this webinar, we’ll discuss: The top challenges and aspirations European business and technology leaders are solving using AI and search technology Which search and AI use cases are making the biggest impact in industries such as finance, healthcare, retail and energy in Europe What technology buyers should look for when evaluating AI and search solutions

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In this webinar with 451 Research, you'll understand how retailers are using AI to predict customer intent and learn which key performance metrics are used by more than 120 online retailers in Lucidworks’ 2019 Retail Benchmark Survey. In this webinar, you’ll learn: ● What trends and opportunities are facing the ecommerce industry in 2020 ● Why search is the universal path to understanding customer intent ● How large online retailers apply AI to maximize the effectiveness of their personalization efforts

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Nordstrom Rack | Hautelook curates and serves customers a wide selection of on-trend apparel, accessories, and shoes at an everyday savings of up to 75 percent off regular prices. With over a million visitors shopping across different platforms every day, and a realization that customers have become accustomed to robust and personalized search interactions, Nordstrom Rack | Hautelook launched an initiative over a year ago to provide data science-driven digital experiences to their customers. In this session, we’ll discuss Nordstrom Rack | Hautelook’s journey of operationalizing a hefty strategy, optimizing a fickle infrastructure, and rallying troops around a single vision of building an expansible machine-learning driven product discovery engine. The audience will learn about: -The key technical challenges and outcomes that come with onboarding a solution -The lessons learned of creating and executing operational design -The use of Lucidworks Fusion to plug custom data science models into search and browse applications to understand user intent and deliver personalized experiences

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Manulife - Insurer Transformation Award 2024

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MySQL Webinar, presented on the 25th of April, 2024. Summary: MySQL solutions enable the deployment of diverse Database Architectures tailored to specific needs, including High Availability, Disaster Recovery, and Read Scale-Out. With MySQL Shell's AdminAPI, administrators can seamlessly set up, manage, and monitor these solutions, ensuring efficiency and ease of use in their administration. MySQL Router, on the other hand, provides transparent routing from the application traffic to the backend servers in the architectures, requiring minimal configuration. Completely built in-house and supported by Oracle, these solutions have been adopted by enterprises of all sizes for their business-critical applications. In this presentation, we'll delve into various database architecture solutions to help you choose the right one based on your business requirements. Focusing on technical details and the latest features to maximize the potential of these solutions.

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Miguel Araújo

AWS Community Day CPH - Three problems of Terraform

Andrey Devyatkin

MS Copilot expands with MS Graph connectors

Nanddeep Nachan

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Juan lago vázquez

The Good, the Bad and the Governed - Why is governance a dirty word? David O'Neill, Chief Operating Officer - APIContext Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...