Goto

Collaborating Authors

 data management infrastructure


Gartner Top 10 Trends in Data and Analytics for 2020

#artificialintelligence

In response to the COVID-19 emergency, over 500 clinical trials of potential COVID-19 treatments and interventions began worldwide. The trials use a living database that compiles and curates data from trial registries and other sources. This helps medical and public health experts predict disease spread, find new treatments and plan for clinical management of the pandemic. Data and analytics combined with artificial intelligence (AI) technologies will be paramount in the effort to predict, prepare and respond in a proactive and accelerated manner to a global crisis and its aftermath. "To innovate their way beyond the post-COVID-19 world, data and analytics leaders require an ever-increasing velocity and scale of analysis in terms of processing and access to succeed in the face of unprecedented market shifts," says Rita Sallam, Distinguished VP Analyst, Gartner. Here are the top 10 technology trends that data and analytics leaders should focus on as they look to make essential investments to prepare for a reset.


AI and Databases: A Symbiotic Relationship

#artificialintelligence

Most Artificial Intelligence (AI) applications are about having the right data at the right time, but also about being able to process them in intelligent ways. The global leaders on AI are already collecting, aggregating, processing and managing very large volume of data. In the future, a proliferating number of enterprises will have to manage very large datasets, as a means of empowering their AI-based processes. This has already a significant impact on the databases of these organizations, which must be more scalable and more intelligent than ever before. However, the relationship between AI systems and modern databases is a two-way one. On the one hand, the quality of the data management infrastructure of an enterprise is a decisive factor for its ability to adopt and fully leverage AI.


Enabling a digital lifestyle using data analytics and machine learning OpenGovAsia

#artificialintelligence

Globe Telecom is the leading full service telecommunications company in the Philippines, serving the needs of consumers and businesses across an entire suite of products and services including mobile, fixed, broadband, data connections, internet and managed services. Accounting for more than 50% of the Philippines' mobile revenues, Globe Telecom leads the mobile market, while also generating one-third of the country's fixed broadband revenues and enterprise data connections. To enhance customer experience for its 60 million customers, Globe Telecom looked into the use of machine learning to deliver real-time targeted marketing and optimised products and services, while maintaining compliance with the latest industry data regulations in the country. According to Chief Technology and Information Officer and Chief Strategy Officer of Globe Telecom Mr Gil Genio, the company strives to enable its customers to live a digital lifestyle that is supported by its robust and pervasive mobile network. Given the increasing number of Internet of Things (IoT) devices, Globe Telecom's mobile data volumes grew by 66% in 2017, reaching 600 petabytes (PB).