Organizations are looking deeper into data to gain a competitive advantage, implementing machine learning and artificial intelligence to achieve new business objectives and to move ahead of competitors in the industry. The adoption of AI and machine learning is critically impaired by the necessity of high-quality data. Changes must be made organization wide to identify and reduce pouches of bad data and create mechanisms that allow the organization to adapt quickly to the data needs and embrace the full potential of these technologies. From starting to being able to deliver a successful AI strategy goes a distance. The capability to build a secure, centralized, and scalable data repository, being able to combine large volumes of disparate data from multiples data sources, is the first challenge to overcome.

How important is to handle data as any other business asset? Data governance includes the people, processes, and technology used to manage the data asset, aligned with a clear data strategy that is focused on establishing the conditions for data to support business. Becoming data-driven begins with establishing a strong data foundation, that will increase the quality and efficiency of corporate decision processes, positively affecting business operations, strategy, and performance. Bottom line, business success depends on the execution and implementation of those decisions, and they are only as good as the data that supports them. The true measure of success is the quality of the organization's decision processes; the organizations best able to make the best insight-driven decisions faster will gain the competitive edge.

There's greater accountability that is expected of data controllers or data processors, and this heralds the arrival of a compliance burden on entities. Join us to discuss: · The case for regulation of personal data usage · Expectations of the regulator · How do you comply with the regulations? Come, let's talk about #privacy. Pathways International and Jose Almeida will host a webinar on personal data protection, titled: Data Protection Act - Roadmap to Compliance.

The business landscape is rapidly evolving - with the emergence of new business innovations and new forms of competition, catalysed by advances in digitization, analytics, artificial intelligence, machine learning, internet of things or robotics - the availability of quality data is more than ever a critical requirement.