Devoogle tiene indexados actualmente 14562 recursos relacionados con el desarrollo de software.

The boom of data ethics by Óscar Méndez, Stratio; Jóse Luis Flórez, Minsait; Louvere Walker-Hannon, Mathworks; Nicolas Maillard, Databricks; Ross Perez, Snowflake and Sara Fernandes, Tableau. #BIGTH20 #AI #Cloud #DataScience #BigData #MachineLearning Session presented at Big Things Conference 2020 17th November 2020 Home EditionDo you want to know more? https://www.bigthingsconference.com/
Location data is being generated at an unprecedented rate and right now is even more important as we navigate the new normal: a world where social distancing, contact tracing & spatial data analysis are critical for governments to respond rapidly and for businesses to survive. With a growing number of Data Scientists being asked to create spatial models for their organizations, it’s important to consider how their stack of data warehouses and AI / machine learning platforms can come together to deliver accurate & relevant predictions. In this session, Javier de la Torre (founder and Chief Strategy Officer of CARTO) will look at real examples of Spatial Data Science in action in verticals such as cities and government, retail and CPG. He will show how new types of Big Data such as human mobility, credit card transactions and social media data (among others) can help the organizations of tomorrow respond to changing citizen and consumer behavior through effective location-based market analysis. #BIGTH20 #DataScience #Visualization #BigData Session presented at Big Things Conference 2020 by Javier de la Torre, Founder and Chief Strategy Officer at CARTO 18h November 2020 Home Edition Do you want to know more? https://www.bigthingsconference.com/
In this talk, Manuela will overview opportunities to bring AI to Finances, while focusing on the interaction between AI and users. #BIGTH20 #AI #Cloud #DataScience #BigData #MachineLearning Session presented at Big Things Conference 2020 by MANUELA VELOSO JP Morgan, Head of AI Research 17th November 2020 Home Edition Do you want to know more? https://www.bigthingsconference.com/
Successfully building and deploying a machine learning model is difficult. Enabling other data scientists to reproduce your pipeline, compare the results of different versions, and rollback models is much harder. And when the underlying data that you used to train your model changes, this challenge becomes exponentially harder. This talk will introduce the open-source projects MLflow & Delta Lake as a solution for tracking and reproducing your ML experiments. #BIGTH20 #AI #Cloud #DataScience #BigData #MachineLearning Session presented at Big Things Conference 2020 by BROOKE WENIG Machine Learning Practice Lead at Databricks 17th November 2020 Home Edition Do you want to know more? https://www.bigthingsconference.com/
Over the past several months, Plaiground, Minsait’s new AI company, has led the design of different alternatives to use geo-positioning and contact tracing technology to prevent the chains of transmission of COVID19. The best known of these initiatives has been the development of this Contact Tracing app. On these speech we will describe the ethical dilemmas between privacy and security, the areas of improvement and the lessons learned for the future. #BIGTH20 #AI #Cloud #DataScience #BigData #MachineLearning Session presented at Big Things Conference 2020 by JOSÉ LUIS FLÓREZ CEO at Plaiground 16th November 2020 Home Edition Do you want to know more? https://www.bigthingsconference.com/
As companies mature through their Machine Learning journey, a pattern of “many models” often emerges. In the real world, many problems can be too complex to be solved by a single machine learning model. Whether that be predicting sales for each individual store, building a predictive maintenance model for thousands of oil wells, or tailoring an experience to individual users, building a model for each instance can lead to improved results on many machine learning problems, as opposed to training a single model to make predictions for all instances. However, the infrastructure, procedures and level of automatization required to operate this kind of pattern poses a challenge at all levels. #BIGTH20 #MLOps #DevOps Session presented at Big Things Conference 2020 by María Medina, Senior Data Scientist at Microsoft and Hosein Alizadeh, Principal Data Scientist at Microsoft 18th November 2020 Home Edition Do you want to know more? https://www.bigthingsconference.com/
Intelligent systems must be able to handle the complexity and uncertainty of the real world. Markov logic enables this by unifying first-order logic and probabilistic graphical models into a single representation. Many deep architectures are instances of Markov logic. An extensive suite of learning and inference algorithms for Markov logic has been developed, along with open source implementations like Alchemy. Markov logic has been applied to natural language understanding, information extraction and integration, robotics, social network analysis, computational biology, and many other areas. #BIGTH20 #AI #Cloud #DataScience #BigData #MachineLearning Session presented at Big Things Conference 2020 by PEDRO DOMINGOS University of Washington, Professor 16th November 2020 Home Edition Do you want to know more? https://www.bigthingsconference.com/
In her talk, Nuria will describe the work that we have done within the Commissioner for AI Strategy and Data Science against COVID-19 for the President of the Valencian Region. As commissioner, I have led a multi-disciplinary team of 20+ scientists who have volunteered since March 2020. We have been working on 4 large areas: (1) human mobility modeling; (2) computational epidemiological models (both metapopulation and individual models); (3) predictive models; (4) citizen surveys, with the launch of the covid19impactsurvey, one of the largest citizen surveys about COVID-19 to date with over 300.000 answers (https://covid19impactsurvey.org) I will describe some of the work we have carried out in each of these areas and will share the lessons learned in this very special initiative of collaboration between the civil society at large (through the survey), the scientific community (through the Expert Group) and a public administration (through the Commissioner at the Presidency level) #BIGTH20 #AI #Cloud #DataScience #BigData #MachineLearning Session presented at Big Things Conference 2020 by NURIA OLIVER, PHD Co-founder and Vice President at ELLIS 16th November 2020 Home Edition Do you want to know more? https://www.bigthingsconference.com/
How technology can support business in times of crisis by José Ruiz, Paradigma Digital; Pablo Carlier, Google Cloud; Jaume Brunet, Denodo; Ignacio Cabrera, IBM; Jim Webber, Neo4j; Alicia Domarco, Fujitsu; Guy Korland, Redis Labs. #BIGTH20 #AI #Cloud #DataScience #BigData #MachineLearning Session presented at Big Things Conference 2020 16th November 2020 Home Edition Do you want to know more? https://www.bigthingsconference.com/
A typical machine learning pipeline begins as a series of preprocessing steps followed by experimentation, optimization and model-tuning, and, finally deployment. Jupyter notebooks have become a hugely popular tool for data scientists and other machine learning practitioners to explore and experiment as part of this workflow, due to the flexibility and interactivity they provide. However, with notebooks it is often a challenge to move from the experimentation phase to creating a robust, modular and production-grade end-to-end AI pipeline. Elyra is a set of open-source, AI centric extensions to JupyterLab. Elyra provides a visual editor for building notebook-based pipelines that simplifies the conversion of multiple notebooks into batch jobs or workflows. #BIGT20 #AI #Visualization #Analytics #MachineLearning #DataScience #DeepLearning, Session presented at Big Things Conference 2020 by Nick Pentreath, Principal Engineer at IBM 18th November 2020 Home Edition Do you want to know more? https://www.bigthingsconference.com/