Webinar: Building Customer-Targeted Search with FusionLucidworks
Customers ask questions, but often those questions are vague or incomplete. Simply showing male customers men’s shoes when they search for “shoes” is no longer enough. You now need to “know your customer” including who they are, where they are, what they’re interested in, what they looked at last time, and what similar customers looked at next. By providing a custom search experience to every user you can increase relevancy – and revenues.
Webinar: Building Conversational Search with FusionLucidworks
Traditional approaches put the burden on the user to specify fields and learn more about how the information is stored before composing a query. New approaches enabled by Fusion allow the end user to type in their normal everyday business language and get back meaningful results.
Webinar: Site Search in an Hour with FusionLucidworks
Using Lucidworks View and Fusion 3, you can easily build and deploy site search in less than one hour. Even with multiple data sources, data transformations, and user interface development, a full enterprise search project can be completed in just an hour compared to the usual 6 months.
Webinar: Lucidworks + Thomson Reuters for Improved Investment PerformanceLucidworks
Learn how the Lucidworks Fusion and Thomson Reuters Intelligent Tagging joint solution can help financial services professionals make better, faster investment decisions.
Webinar: Personalized Retail Search & Recommendations with FusionLucidworks
At Lucidworks, we work with top tier retailers trying to increase conversions and survive in the Age of Amazon. Our Fusion platform enables you to own every aspect of the search and shopping experience using best in class search and machine learning. Join Lucidworks CTO and cofounder Grant Ingersoll to learn how to deliver better search results, personalization, recommendations, and analytics using Fusion.
Fusion 3.1 comes with exciting new features that will make your search more personal and better targeted. Join us for a webinar to learn more about Fusion's features, what's new in this release, and what's around the corner for Fusion.
Webinar: Building Customer-Targeted Search with FusionLucidworks
Customers ask questions, but often those questions are vague or incomplete. Simply showing male customers men’s shoes when they search for “shoes” is no longer enough. You now need to “know your customer” including who they are, where they are, what they’re interested in, what they looked at last time, and what similar customers looked at next. By providing a custom search experience to every user you can increase relevancy – and revenues.
Webinar: Building Conversational Search with FusionLucidworks
Traditional approaches put the burden on the user to specify fields and learn more about how the information is stored before composing a query. New approaches enabled by Fusion allow the end user to type in their normal everyday business language and get back meaningful results.
Webinar: Site Search in an Hour with FusionLucidworks
Using Lucidworks View and Fusion 3, you can easily build and deploy site search in less than one hour. Even with multiple data sources, data transformations, and user interface development, a full enterprise search project can be completed in just an hour compared to the usual 6 months.
Webinar: Lucidworks + Thomson Reuters for Improved Investment PerformanceLucidworks
Learn how the Lucidworks Fusion and Thomson Reuters Intelligent Tagging joint solution can help financial services professionals make better, faster investment decisions.
Webinar: Personalized Retail Search & Recommendations with FusionLucidworks
At Lucidworks, we work with top tier retailers trying to increase conversions and survive in the Age of Amazon. Our Fusion platform enables you to own every aspect of the search and shopping experience using best in class search and machine learning. Join Lucidworks CTO and cofounder Grant Ingersoll to learn how to deliver better search results, personalization, recommendations, and analytics using Fusion.
Fusion 3.1 comes with exciting new features that will make your search more personal and better targeted. Join us for a webinar to learn more about Fusion's features, what's new in this release, and what's around the corner for Fusion.
Silicon Valley Code Camp 2010: Social Platforms : What goes on under the hoodManish Pandit
In this session I'd share the design, architecture and implementation of some of the most common elements of any social platform - Open API, profiles, searches, lists and activity streams. These "pillers" of a social platform bear most of the weight behind a jazzy UI, and scaling them has its own challenges. I will also talk about how we built the Social Platform at IGN from ground up, including not-so-unique challenges like integration with legacy systems.
Topics covered:
1. Generating a new Remix project
2. Conventional files
3. Routes (including the nested variety)
4. Styling
5. Database interactions (via sqlite and prisma)
6. Mutations, Validation, and Authentication
7. Error handling
8. SEO with Meta Tags and much more
At a major telco company in Belgium we have designed and implemented a cutting-edge architecture using microservices and hypermedia (REST level 3/hateoas) for the entire customer- and business-facing Web portfolio.
Throughout this session you will learn what the microservices hype is all about, including its benefits and pitfalls based on our experiences of running microservices (including the Netflix OSS) in production at a major company in Belgium.
To manage hundreds of microservices you need to apply certain patterns such as circuit breakers, gateways, service registries and so on. You will learn how these patterns work, how they are applied through the Netflix stack and how easy it is to use them in your architecture through code examples and demos.
The contracts between these microservices should be well defined and loosely coupled. Using hypermedia as the engine of application state (hateoas), we can benefit from independent evolution and decoupled implementation. How we can implement these using Spring Hateoas, correctly document using Spring REST Docs, integrate with the HAL browser and version using JsonViews will become clear in the second part of this session.
Silicon Valley Code Camp 2010: Social Platforms : What goes on under the hoodManish Pandit
In this session I'd share the design, architecture and implementation of some of the most common elements of any social platform - Open API, profiles, searches, lists and activity streams. These "pillers" of a social platform bear most of the weight behind a jazzy UI, and scaling them has its own challenges. I will also talk about how we built the Social Platform at IGN from ground up, including not-so-unique challenges like integration with legacy systems.
Topics covered:
1. Generating a new Remix project
2. Conventional files
3. Routes (including the nested variety)
4. Styling
5. Database interactions (via sqlite and prisma)
6. Mutations, Validation, and Authentication
7. Error handling
8. SEO with Meta Tags and much more
At a major telco company in Belgium we have designed and implemented a cutting-edge architecture using microservices and hypermedia (REST level 3/hateoas) for the entire customer- and business-facing Web portfolio.
Throughout this session you will learn what the microservices hype is all about, including its benefits and pitfalls based on our experiences of running microservices (including the Netflix OSS) in production at a major company in Belgium.
To manage hundreds of microservices you need to apply certain patterns such as circuit breakers, gateways, service registries and so on. You will learn how these patterns work, how they are applied through the Netflix stack and how easy it is to use them in your architecture through code examples and demos.
The contracts between these microservices should be well defined and loosely coupled. Using hypermedia as the engine of application state (hateoas), we can benefit from independent evolution and decoupled implementation. How we can implement these using Spring Hateoas, correctly document using Spring REST Docs, integrate with the HAL browser and version using JsonViews will become clear in the second part of this session.
Etsy Search: How We Index and Query 26 Million One-of-a-kind ItemsC4Media
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1rXaVvn.
Aaron Gardner pulls back the covers on the Etsy Search ecosystem and how they got here -- the good, the bad, and the funky. Filmed at qconsf.com.
Aaron Gardner is Engineering Director for Buyer Experience at Etsy, a marketplace where people around the world connect to buy and sell unique goods. Previous gigs include Meetup, Comcast, and some startups.
Building tiered data stores using aesop to bridge sql and no sql systemsRegunath B
Slides from my talk on building tiered data stores using Aesop to bridge SQL and NoSQL data stores. Aesop is a pub-sub like change data capture and propagation system.
Netflix Global Search - Lucene Revolutionivan provalov
Talking about the challenges of supporting autocomplete (instant) search in different languages. Search configuration in Solr, scoring, tokenization, custom components and testing issues are discussed.
Search At AstraZeneca. An Agile AppStore (search-based apps) Created On A Ric...Nick Brown
Presentation by Rob Hernandez, data science lead in my team at Data Summit 2015 in New York on Tuesday May 12 2015. Overview about how creating a single repository with over 150 million unstructured documents, can drive multiple business intelligence applications.
This tutorial gives an overview of how search engines and machine learning techniques can be tightly coupled to address the need for building scalable recommender or other prediction based systems. Typically, most of them architect retrieval and prediction in two phases. In Phase I, a search engine returns the top-k results based on constraints expressed as a query. In Phase II, the top-k results are re-ranked in another system according to an optimization function that uses a supervised trained model. However this approach presents several issues, such as the possibility of returning sub-optimal results due to the top-k limits during query, as well as the prescence of some inefficiencies in the system due to the decoupling of retrieval and ranking.
To address this issue the authors created ML-Scoring, an open source framework that tightly integrates machine learning models into Elasticsearch, a popular search engine. ML-Scoring replaces the default information retrieval ranking function with a custom supervised model that is trained through Spark, Weka, or R that is loaded as a plugin in Elasticsearch. This tutorial will not only review basic methods in information retrieval and machine learning, but it will also walk through practical examples from loading a dataset into Elasticsearch to training a model in Spark, Weka, or R, to creating the ML-Scoring plugin for Elasticsearch. No prior experience is required in any system listed (Elasticsearch, Spark, Weka, R), though some programming experience is recommended.
RecSys 2015 Tutorial – Scalable Recommender Systems: Where Machine Learning...S. Diana Hu
Search engines have focused on solving the document retrieval problem, so their scoring functions do not handle naturally non-traditional IR data types, such as numerical or categorical. Therefore, on domains beyond traditional search, scores representing strengths of associations or matches may vary widely. As such, the original model doesn’t suffice, so relevance ranking is performed as a two-phase approach with 1) regular search 2) external model to re-rank the filtered items. Metrics such as click-through and conversion rates are associated with the users’ response to items served. The predicted selection rates that arise in real-time can be critical for optimal matching. For example, in recommender systems, predicted performance of a recommended item in a given context, also called response prediction, is often used in determining a set of recommendations to serve in relation to a given serving opportunity. Similar techniques are used in the advertising domain. To address this issue the authors have created ML-Scoring, an open source framework that tightly integrates machine learning models into a popular search engine (SOLR/Elasticsearch), replacing the default IR-based ranking function. A custom model is trained through either Weka or Spark and it is loaded as a plugin used at query time to compute custom scores.
DOXLON November 2016 - Data Democratization Using SplunkOutlyer
In this session, Neil Roy Chowdhury - Lead Splunk Consultant @ Strft - looks at Splunk to foster collaboration between dev and ops teams in a safe and secure way. We focus on the need for semantic logging and what part data models can play in everyone speaking the same language, not just for dev and ops teams, but for information security and other business areas too.
Options for Data Prep - A Survey of the Current MarketDremio Corporation
Data comes in many shapes and sizes, and every company struggles to find ways to transform, validate, and enrich data for multiple purposes. The problem has been around as long as data, and the market has an overwhelming number of options. In this presentation we look at the problem and key options from vendors in the market today. Dremio is a new approach that eliminates the need for stand alone data prep tools.
Architect’s Open-Source Guide for a Data Mesh ArchitectureDatabricks
Data Mesh is an innovative concept addressing many data challenges from an architectural, cultural, and organizational perspective. But is the world ready to implement Data Mesh?
In this session, we will review the importance of core Data Mesh principles, what they can offer, and when it is a good idea to try a Data Mesh architecture. We will discuss common challenges with implementation of Data Mesh systems and focus on the role of open-source projects for it. Projects like Apache Spark can play a key part in standardized infrastructure platform implementation of Data Mesh. We will examine the landscape of useful data engineering open-source projects to utilize in several areas of a Data Mesh system in practice, along with an architectural example. We will touch on what work (culture, tools, mindset) needs to be done to ensure Data Mesh is more accessible for engineers in the industry.
The audience will leave with a good understanding of the benefits of Data Mesh architecture, common challenges, and the role of Apache Spark and other open-source projects for its implementation in real systems.
This session is targeted for architects, decision-makers, data-engineers, and system designers.
Geek Sync | Deployment and Management of Complex Azure EnvironmentsIDERA Software
You can watch the replay of this Geek Sync webinar in the IDERA Resource Center: http://ow.ly/pg7N50A4svf.
Today's data management professional is finding their landscape changing. They have multiple database platforms to manage, multi-OS environments and everyone wants it now.
Join IDERA and Kellyn Pot’Vin-Gorman as she discusses the power of auto deployment in Azure when faced with complex environments and tips to increase the knowledge you need at the speed of light. Kellyn will cover scripting basics, advanced Portal features, opportunities to lessen the learning curve and how multi-platform and tier doesn't have to mean multi-cloud.
Attendees can expect to learn how to build automation scripts efficiently, even if you have little scripting experience, and how to work with Azure automation deployments. This session will allow you to begin building a repository of multi-platform development scripts to use as needed.
About Kellyn: Kellyn Pot’Vin-Gorman is a member of the Oak Table Network and an IDERA ACE and Oracle ACE Director alumnus. She is the newest Technical Solution Professional in Power BI with AI in the EdTech group at Microsoft. Kellyn is known for her extensive work with multi-database platforms, DevOps, cloud migrations, virtualization, visualizations, scripting, environment optimization tuning, automation, and architecture design. She has spoken at numerous technical conferences for Oracle, Big Data, DevOps, Testing and SQL Server. Her blog, http://dbakevlar.com and social media activity under her handle, DBAKevlar is well respected for her insight and content.
Historic Opportunities: Discover the Power of Ignition's HistorianInductive Automation
The ability to store and query historical data easily and efficiently is vital to digital transformation. The Ignition Tag Historian Module has long provided a superb solution for this need and recent improvements have broadened the scope of what it can do. Is your organization harnessing the full power of historical data for a successful future?
Electric power companies are no exception when it comes to the flood of data now available to support business decisions and practices. To leverage the value in that flood rather than being overwhelmed, new automated analytic systems are critical. This presentation describes an environment that allows the deployment of robust automated systems that integrate data from disparate sources and present targeted proactive notifications and enterprise wide dashboard visualizations.
Streaming Data Analytics with ksqlDB and Superset | Robert Stolz, PresetHostedbyConfluent
Streaming data systems have been growing rapidly in importance to the modern data stack. Kafka’s kSQL provides an interface for analytic tools that speak SQL. Apache Superset, the most popular modern open-source visualization and analytics solution, plugs into nearly any data source that speaks SQL, including Kafka. Here, we review and compare methods for connecting Kafka to Superset to enable streaming analytics use cases including anomaly detection, operational monitoring, and online data integration.
Search is the Tip of the Spear for Your B2B eCommerce StrategyLucidworks
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
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.
How Crate & Barrel Connects Shoppers with Relevant ProductsLucidworks
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/
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
Connected Experiences Are Personalized ExperiencesLucidworks
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
Intelligent Insight Driven Policing with MC+A, Toronto Police Service and Luc...Lucidworks
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
[Webinar] Intelligent Policing. Leveraging Data to more effectively Serve Com...Lucidworks
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
Accelerate The Path To Purchase With Product Discovery at Retail Innovation C...Lucidworks
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.
AI-Powered Linguistics and Search with Fusion and RosetteLucidworks
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
The Service Industry After COVID-19: The Soul of Service in a Virtual MomentLucidworks
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
Webinar: Smart answers for employee and customer support after covid 19 - EuropeLucidworks
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.
Smart Answers for Employee and Customer Support After COVID-19Lucidworks
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
Applying AI & Search in Europe - featuring 451 ResearchLucidworks
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
Webinar: 5 Must-Have Items You Need for Your 2020 Ecommerce StrategyLucidworks
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
Where Search Meets Science and Style Meets Savings: Nordstrom Rack's Journey ...Lucidworks
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
Apply Knowledge Graphs and Search for Real-World Decision IntelligenceLucidworks
Knowledge graphs and machine learning are on the rise as enterprises hunt for more effective ways to connect the dots between the data and the business world. With newer technologies, the digital workplace can dramatically improve employee engagement, data-driven decisions, and actions that serve tangible business objectives.
In this webinar, you will learn
-- Introduction to knowledge graphs and where they fit in the ML landscape
-- How breakthroughs in search affect your business
-- The key features to consider when choosing a data discovery platform
-- Best practices for adopting AI-powered search, with real-world examples
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
9. • Machine Driven: Signals
aggregation learn and automatically
tune relevancy and drive
recommendations out of the box.
• Rules when you need them: Point-
and-click query pipeline
configuration and rules module
allow fine-grained control of results.
• Science, not guessing: Experiment
management and bandits do the
heavy lifting of systematically
testing new ideas
11. • Over 50 connectors and a
robust parsing framework to
seamlessly ingest all your data
• Powerful pipeline stages:
Customize fields, stages,
synonyms, boosts, facets, and
dozens of other powerful search
stages.
• Point and click Indexing
configuration and iterative
simulation of results for full
control over your ETL process
• Your security model
enforced end-to-end from
ingest to search across your
different datasources
13. • 24/7/365 Customer Success:
Support and advice for all of your
search and machine learning
problems
• Backed by the team that makes
Solr
• Enables you to attract and grow
top talent in your organization
Best in class open source
18. Powered by Solr 6.3 and Spark 1.6.3
• Support for Machine Learning
Models
• Additional Kerberos support
• New Query time joins
•New SQL/Streaming features and
operators
•Better support for high cardinality
field faceting
• Improved Memory Mgmt and Perf.
• Query Planner Optimizations
• Faster null-safe joins and columnar
caching performance
• ML Pipeline Persistance
• SQL queries on flat files
19. But Wait, There’s More!
• PySpark, Notebook support (Zeppelin,
Jupyter)
• Clickstream Boosting Out of the Box
• Numerous Performance Improvements
• Streaming document support and better
large/archival doc support
• Faster, more scalable aggregations
• Distributed Index Pipelines
• Content-based Recommendations Pipeline
• More connectivity at Query Time via the
Query REST/RPC Stage
21. Basic Features
• Connect to any Spark Data Source for cross data source joins
• Standard connectivity with ODBC/JDBC so all your existing SQL tools work
• Leverages both Spark and Solr SQL for intelligent query planning and optimizations
22. Fusion Only Features
• Full Solr syntax for search and streaming expressions available means leveraging:
• Solr Query Syntax for the ultimate sort function
• Graph Traversals for complex relationships
• Machine Learning scoring functions built-in
• First class support for text, numerics, spatial and custom data types
• The Fusion Catalog makes it easy to create views and enforce data governance
• Create views for common scenarios and to increase performance of high-usage queries
• Overlay Fusion security for total control of data assets
23. Searching for Pretty Pictures
• Harness the power of Fusion with
existing Business Intelligence
tools and Data Science
Notebooks
• Tableau Public, Desktop, etc. all
work with Fusion 3
• Works with Apache Zeppelin,
Jupyter/iPython and others
24.
25. Resources
• Download Fusion 3.0: https://lucidworks.com/download/
• Contact Us: https://lucidworks.com/company/contact/
• Fusion documentation: https://doc.lucidworks.com/index.html
• Webinar recording will be available at http://lucidworks.com
• Tableau Public Web Data Connector: https://github.com/lucidworks/tableau-fusion-wdc