Wednesday, June 7, Microsoft Barcelona

“BIG DATA SAVES LIVES”. WE TRANSFORM YOUR BIG DATA INTO VALUE

Would you like to continue the conversation about how to use Big Data to save lives? Join our group on LinkedIn.

 

PREDICTIVE MODEL OF THE INTERVENTION IN SOCIAL SERVICES IN CATALONIA APPLIED TO ENERGY POVERTY AND ADVANCED HOME CARE

Gallery: See the photos of the day’s events here

 

SCHEDULE

09:30 – 10:00 Credentials. Welcome coffee & networking

10:00 – 10:10 Presentation

The world ages fast. What are the challenges we have to face?

  • Bismart. Managing Director. Albert Isern

10:10 – 11:00 Government Round Table

How can a sustainable model of action be implemented over time? What are the most important problems that we will have to overcome? How can the participation of the actors involved be encouraged? How can an adequate co-responsibility be established between the different actors?

  • Consorci AOC. Managing Director. Manel Sanromà (Moderator)
  • Generalitat de Catalunya. Secretary for Social Affairs and Families. Francesc Iglesies Riumalló
  • Diputació de Barcelona.
  • Ajuntament de L’Hospitalet.
  • Ajuntament de Barcelona. Director de Planning and Innovation of the Social Rights Area. Lluís Torrens
  • Ajuntament de Lleida. Mayor. Àngel Ros
  • Consell Comarcal Vallès Oriental. Area Manager. Social Policies and Equality Area. Montserrat Rossinés

11:00 – 11:40 Suppliers Round Table

How can private actors contribute to a model of prevention of energy proverty in households at risk? What are the problems and challenges that the private sector is facing? What are the needs to be solved for suppliers?

  • CESICAT. Security Strategy Director. Tomàs Roy (Moderator)
  • Gas Natural Fenosa. Customer Service Management. Josep Codorniu
  • Factor Energia. Managing Director. Emili Rousaud
  • Endesa
  • Agbar

11:40 – 12:10 Coffee break & networking

12:10 – 13:00 Organizations and Foundations Round Table

What are the difficulties and challenges faced by social entities? What are the needs to solve? What are the most important problems to overcome? How should the actors relate to each other? How do you consider that a follow-up model should be designed and implemented to evaluate the results of the actions in home care.

  • Microsoft. Managing Director Catalunya. Jordi Marin (Moderator)
  • Col·legi Oficial de Treball Social de Catalunya. Social worker. Coordinator of the Commission of Basic Social Services of the Col·legi Oficial de Treball Social de Catalunya. Head of the Social Inclusion Plan Office of the Viladecans City Council. Mercè Civit
  • Table of entities of the Third Social Sector of Catalonia. Managing Director. Toni Codina
  • ABD Associació Benestar i Desenvolupament. Deputy Director. Pilar Rodríguez
  • Fundació Pare Manel. Management.

13:00 – 14:00 Big Data. Artificial Intelligence. Practical demonstrations

Digital transformation allows governments, cities, private companies and social entities to transform and unleash their full potential through innovative digital services. Its aim is to face the new and complex challenges of society and the current economy, improve efficiency and quality of life of citizens, more socially integrated, healty and sustainable.

  • Big Data to identify groups and needs in the territory
  • Predictive Systems for proactivity and planning
  • BoTs. Smartphones and tablets to improve communication and support
  • Internet of Things (IoT) for efficiency, monitoring and emergency management
  • Social Media. CRM to improve the relationship and exchange of information and knowledge

The world is aging rapidly. People over 65 represent 12.3% of the world’s population, and by 2050 this number will increase to 22%. Life expectancy is increasing through better nutrition, hygiene, health, education and economic wellbeing.

The aging of the population presents major social and economic challenges, an adequate set of policies can help individuals, families and societies to meet these challenges and take advantage of their benefits.

The government offers grants and social services in a reactive way to those in need who request it and meet the requirements. But there are a lot of older people who do not know how to access the aids, some who do not know they exist or, simply, do not use them because they are very difficult situations to deal with.

Thanks to Big Data and predictive tools we analyze multiple data sources to proactively identify situations of all kinds of vulnerability.

This early identification will be beneficial to the areas of action of social services, to foresee emergency situations, such as energy poverty and the need for home care.

Click here for a summary of the key points from “Big Data Saves Lives.” Thank you to everyone who attended and shared their insights.

Also, if you’d like to continue the conversation about how we can work together to save lives using Big Data, you can join us on our LinkedIn group. Feel free to participate in the discussion and invite your colleagues to join.

Leave a Comment

  Acepto la política de privacidad

Contact Us

We're not around right now. But you can send us an email and we'll get back to you, asap.

Not readable? Change text. captcha txt