The recent pandemic has already caused damage to economies around the world and requires a fast and accurate resolution. There are several ways of tackling the virus that range from blocking its entry into cells to inhibiting its replication. Either way, a treatment is urgently needed. Considering the length of time required for a new drug to be approved, repurposing approved drugs is a valuable option to accelerate the drug discovery process. Virtual screening plays an important role at the early stages of drug discovery. This process generally takes a long time to execute since it typically relies on measuring similarities among molecules. This is a computationally heavy and expensive exercise, and a major challenge for today’s computers. Most of the well-known methods for this type of evaluation use 2D molecular fingerprints to encode structural information. Although they are efficient in terms of execution times, these methods lack the consideration of relevant aspects of molecular structures. #BIGTH20 #VirtualScreening Session presented at Big Things Conference 2020 by Albert Mercadal,Global Head of Advanced Analytics CoE at Fujitsu and Borja Menéndez, Sr. Operation Research Engineer at Fujitsu 18th November 2020 Home Edition Do you want to know more? https://www.bigthingsconference.com/

Welcome Note at Big Things Conference 2020 The responsibility to drive the future. #BIGTH20 #AI #Cloud #DataScience #BigData #MachineLearning Session presented at Big Things Conference 2020 by Carmen Vidal, Ceo & Founder at Paradigma Digital and Óscar Méndez, CEO at Stratio. 16th November 2020 Home Edition Do you want to know more? https://www.bigthingsconference.com/

“Containers are the new ZIP format to distribute software” is a fitting description of today’s development world. However, it is not always that easy and this talk highlights the development of a container strategy for datastores over time: Docker images: A new distribution model. Docker Compose: Local demos and a little more. Helm Chart: Going from demo to production. Kubernetes Operator: Full control with upgrades, scaling,… Besides the strategy we are also discussing specific technical details and hurdles that appeared during the development. Or why the future will be a combination of Helm Chart and Operator (for now). Session presented at Big Things Conference 2020 by PHILIPP KRENN Developer at Elastic 18th November 2020 Home Edition Do you want to know more? https://www.bigthingsconference.com/

While “software is eating the world”, those who are able to best manage the huge mass of data will emerge out on the top. The batch processing model has been faithfully serving us for decades. However, it might have reached the end of its usefulness for all but some very specific use-cases. As the pace of businesses increases, most of the time, decision-makers prefer slightly wrong data sooner, than 100% accurate data later. Stream processing – or data streaming – exactly matches this usage: instead of managing the entire bulk of data, manage pieces of them as soon as they become available. In this talk, I’ll define the context in which the old batch processing model was born, the reasons that are behind the new stream processing one, how they compare, what are their pros and cons, and a list of existing technologies implementing the latter with their most prominent characteristics. I’ll conclude by describing in detail one possible use-case of data streaming that is not possible with batches: display in (near) real-time all trains in Switzerland and their position on a map. I’ll go through the all the requirements and the design. If time allows, I’ll try to impress attendees with a demo. Session presented at Big Things Conference 2020 by NICOLAS FRÄNKEL Developer Advocate at Hazelcast 18th November 2020 Home Edition Do you want to know more? https://www.bigthingsconference.com/

Machine Learning (ML) is separated into model training and model inference. ML frameworks typically use a data lake like HDFS or S3 to process historical data and train analytic models. Model inference and monitoring at production scale in real time is another common challenge using a data lake. But it’s possible to completely avoid such a data store, using an event streaming architecture. This talk compares the modern approach to traditional batch and big data alternatives and explains benefits like the simplified architecture, the ability of reprocessing events in the same order for training different models, and the possibility to build a scalable, mission-critical ML architecture for real time predictions with muss less headaches and problems. The talk explains how this can be achieved leveraging Apache Kafka, Tiered Storage and TensorFlow. Session presented at Big Things Conference 2020 by KAI WAEHNER Field CTO, Confluent 18th November 2020 Home Edition Do you want to know more? https://www.bigthingsconference.com/

Antonio Rodriguez works as a Senior Specialist Solutions Architect for Artificial Intelligence and Machine Learning with Amazon Web Services (AWS). He helps customers solving challenges through innovation, and creating new business opportunities with AWS and its services. Antonio has more than 12 years of experience working on exciting projects around data analysis and machine learning for companies of all sizes in America and Europe, in different areas like retail, telco, or power and utilities, among others. Session presented at Big Things Conference 2020 by ANTONIO RODRIGUEZ AI/ML Specialist Solutions Architect at Amazon Web Services 18th November 2020 Home Edition Do you want to know more? https://www.bigthingsconference.com/

In this session we walk through how we’ve built a machine for scientific text understanding, how we’re reinforcing it on a specific research field (chemistry) and how we are developing a suite of modularized tools to solve specific problems for the R&D departments of our clients. The session will be equal parts business and (high level) technology and will outline not just tools and functionalities but also the journey of getting there, and where we go from here. Session presented at Big Things Conference 2020 by ANITA SCHJØLL BREDE CEO at Iris.ai 17th November 2020 Home Edition Do you want to know more? https://www.bigthingsconference.com/

In an age of increasing technological cognitive dominance, how can we protect humans, our societies, and our ability to self govern, and rise to meet the challenges of the 21st century? #BIGTH20 #AI # BigData #Cloud #DataScience #MachineLearning Session presented at Big Things Conference 2020 by AZA RASKIN Cofounder of Earth Species Project 17th November 2020 Home Edition Do you want to know more? https://www.bigthingsconference.com/

Databases are everywhere, but did you ever wonder what goes on inside the box? In this talk we’ll dive into the internals of Neo4j – a popular graph database – and see how its designers deal with common functional and non-functional requirements. In particular we’ll see how data is stored safely and queried performantly by understanding the way Neo4j makes use of the network and file system. So if you’re a curious person looking for a humane and light-hearted introduction to database internals and distributed systems, this talk is for you! #BIGTH20 #AI # BigData #Cloud #DataScience #MachineLearning Session presented at Big Things Conference 2020 by JIM WEBBER Chief Scientist, Neo4j 17th November 2020 Home Edition Do you want to know more? https://www.bigthingsconference.com/

Después del primer vídeo de visión general, comprobar si es necesario migrar y como realizar correctamente la actualización, pasamos a la parte práctica. ¿Qué pasa cuando creo una nueva cuenta de Google Analytics? ¿Cómo puedo configurar mi píxel de seguimiento con la nueva versión? ¿Qué pasa con el resto de eventos? En este tutorial veremos dos casos, una migración con la creación de una nueva propiedad GA4 a través del asistente de configuración. Así veremos cómo aprovechar Google Tag Manager para realizar un simple paso, el seguimiento de la nueva versión. El resto de opciones de seguimiento de eventos y transacciones, deberíamos tener en cuenta otros aspectos que la guía oficial tiene en cuenta sólo una parte y más a nivel técnico deberíamos pasar nota a nuestro departamento de desarrollo. Aquí puedes tener más información con la guía de implementación GA4: https://developers.google.com/analytics/devguides/collection/ga4 La otra parte del tutorial veremos cómo crear una nueva cuenta de Google Analytics donde actualmente podemos elegir entre solo GA4 o GA4 + actual globalTag (o solo esta última). En el primer caso debemos tener en cuenta el desarrollo vía Tag Manager (aún en beta), o vía código, pasaremos las informaciones necesarias a desarrollo. La otra es un híbrido de migración, donde se crearían dos propiedades y podemos aún aprovechar el seguimiento vía globalTag, universalTag o Tag Manager. ¿Sigues confuso? Es normal, Google Analytics parecer que ha dificultado esta parte de implementación, con otras opciones de seguimiento, sin embargo podemos sacar provecho de otra novedad, vincular Google BigQuery también a cuentas que no son enterprise, así sacamos pecho de esta actualización y mejoraremos nuestros análisis. Más info de Google Analytics 4: https://support.google.com/analytics/answer/9306384?hl=es&ref_topic=9303319 ¿Quieres saber más? Sigues nuestro canal de YouTube para las próximas entregas de video tutoriales y webinar de Google Analytics: https://www.youtube.com/c/ParadigmaDigital/playlists Más informaciones en nuestra web: https://www.paradigmadigital.com/blog/ Próximos eventos de Paradigma Digital: https://www.paradigmadigital.com/eventos/