Call for Submissions
Submission Deadline Extended to June 7, 2019
Activate, the Search and AI Conference, brings together the brightest minds in search, AI, machine learning, data science, analytics, and UX to drive innovation and deliver rich, contextual digital experiences. Key themes include Search Development at Scale, Search Relevance, AI & Machine Learning, Data Science & Analytics, User Experience, and Next-Generation Apps – such as chatbots and virtual assistants – and applications for digital commerce and in the digital workplace. Developer tracks will focus on Apache Solr, Apache Spark, and the Lucidworks Fusion platform.
We are particularly interested in interdisciplinary talks at the intersection of various technologies and use cases. Please use your imagination but examples might include AI-powered search relevance, machine learning and UX, how AI will impact merchandising, chatbots for the enterprise, how AI can augment humans, etc.
Activate invites proposals from practitioners and thought leaders, including technology deep dives, expert-led sessions, practical applications, panels, and case studies. If you are involved in an interesting project or perspective to share, we’d like to hear from you.
Search Development at Scale
Open source Solr development, autoscaling, plugins and components, scaling search in the cloud, large-scale data ingestion, performance, replication & cross-data-center replication, architectural patterns
Relevance ranking, personalized experiences and recommendations, type-ahead, spelling and query corrections, faceted navigation, search UI frameworks, head/tail analysis, harnessing user signals, A/B testing, best practices for user engagement and user experience (UX)
AI & Machine Learning
AI-powered search, AI research & technologies, neural networks, deep learning, semantic search, question answering, reflected intelligence, NLP, learning to rank, ethics of AI, explainable AI, “augmented intelligence” that empowers humans
Chatbots, virtual assistants, voice search, conversational AI, computer vision, image search, ubiquitous search
Data Science & Analytics
Predictive analytics, text analytics, sentiment analysis, data visualization, streaming analytics, knowledge discovery
Data-Driven User Experience
Human centered design built on data and information architecture, machine learning applied to UX, personalized, data-driven user experiences
Search and AI that improves the shopping experience, increasing relevance and personalization to boost add-to-cart and conversion rates, how AI might impact merchandising and other ecommerce roles
Search and AI that connects employees with information, insights, and each other, case studies of connected workplaces that empower people to do their jobs more effectively and drive business results
Projects using Fusion to deliver powerful, intuitive search experiences, enrich data with AI, and connect people with data in rich front end applications
New features in Apache Solr 8, open source contributions, plugins and ongoing development, faceting and streaming analytics, geospatial search, spell checking and autocomplete, and highlighting
Large scale data processing including deep learning, pipelines, and integrations with Tensorflow, Keras, Pytorch, and other libraries
Case studies and executive briefings to build a data-driven organization, including technology strategy and roadmaps, fostering a culture of innovation, change management, methodologies, and assembling the right teams
If you would like to speak on a related topic that is not specifically listed, please go ahead! We are interested in innovations at the edge, and interested in representing diverse speakers and perspectives.