22 de março de 2018, Reitoria da Universidade Nova de Lisboa

Big Data, Analytics is the one of the pillars of IDC’s 3rd Platform, a set of business-transforming technologies and applications that also includes cloud services, mobility, and social business. The use of BDA to support business strategies is a multifaceted subject. On the one hand, it is a matter of collecting and aggregating internal and external sources of information — often in real time — as seamlessly as possible to enable analysis. In another sense, it’s about developing the insights from analytics to extract value from those enormous data stores. On yet another level, it’s a question of where and how those insights are applied within the enterprise. As companies experiment with IoT and make initial deployments, they need to cope with many complexities and challenges. Companies worry about upfront costs and security risks, while these systems require new skills and planning to develop new systems and architectures. Furthermore, the impact of these systems can cause further challenges, as process automation can be transformative and drive dramatic changes to the organization.

Each year sees new investment to manage and harness the value of data of all types and forms that could be relevant to drive business value – a sign of continuing interest and increased opportunity. Yet big data and analytics is not one thing, so there is not one future or one opportunity. Big data/analytics is being applied in diverse solution contexts: people (customers, employees), things (products, materials), and money (accounts, investments). And analytics is being deployed in various workloads – real-time operations to offline discovery/exploration to prospective planning and strategy. Ultimately, however, BDA, used effectively, enables a continuous process of leveraging massive streams of structured and unstructured information for business value.

IDC’s Big Data, AI & Cognitive Forum is an opportunity for executives to explore and discuss the challenges, opportunities, and best practices. It is an information-sharing forum providing a networking platform for CxOs and LOB executives from leading local organizations. Attendees will engage in challenging debates and cutting edge knowledge sharing with IDC analysts and industry thought leaders regarding the opportunities that Big Data, AI & Cognitive provides to gain competitive advantage.http://www.idcdx.pt/insights/

Topics to be covered:

  • Use of advanced analytics and AI to build intelligent business processes
  • Key trends in AI: understanding the impact on organisations today
  • Cloud and Big Data: ready for prime time?
  • Monetising data assets: how can you profit from your data?
  • Information governance post-GDPR
  • Best practices to ensure analytics project success
  • Digital assistants
  • Automated advisors
  • Artificial intelligence, deep learning and machine learning
  • Automated recommendation systems

IDC Predicts…

  • By 2018, over 20 million U.S. households will own electronics integrating cognitive systems
  • By 2019, a national debate will surface around recommendation bias from machine learning and cognitive applications, forcing government action around personal data auditing
  • By 2018, 20% of major retailers will use AI to personalize the brand experience from awareness through purchase

This event is best suited to:

  • CIOs, CTOs, COOs
  • IT Directors / Heads of IT
  • Business Intelligence Managers
  • Business Development Managers
  • Data Warehouse Managers
  • Data Scientists / Data Professionals
  • IT Managers
  • Project Managers
  • Analysts / Architects / Developers
  • Application Management Professionals
  • Infrastructure Professionals
  • Other C-Level Executives

Consulte aqui os resultados da edição de 2017 deste evento.

Para mais informações, por favor contacte-nos:

Bibiana Coimbra
Senior Project Manager
bcoimbra@idc.com
……………………………………………….
IDC Portugal
Centro Empresarial Torres de Lisboa
Rua Tomás da Fonseca, Torre G
1600-209 Lisboa
M. +351 91 814 88 16
T. +351 21 723 06 22