Search results for: 'hing ai'

Artificial intelligence (AI) and machine learning (ML) have been adopted widely across industries over the years due to the multifaceted benefits that the technologies bring about. AI and ML have been also increasingly adopted across industries, from such as healthcare, education, information and communication technologies (ICT), logistics, marit...

Traditional cloud computing models sends data from the device to the cloud for data analysis and the decision is sent back to the device for implementation. The agility of cloud computing is great but not enough to overcome certain challenges such as latency, bandwidth, processing the data for real-time decision making, costs associated with data t...

The convergence of artificial intelligence and augmented reality is transforming business applications and is likely to have a profound impact on customer experience and the way businesses work. Computer vision, an artificial intelligence technology, allows computers to understand the objects seen through cameras, which are identified and labeled u...

Pharmaceutical drug discovery and development processes suffer from declining success rates and a stagnant pipeline. Artificial Intelligence (AI) supported by Big Data could be a key element that can provide an effectual solution. There has been a rapid growth in the data generated within the life sciences and pharmaceutical industries. This stems ...

In a connected world, customers across industries are looking for faster and more efficient ways to connect with brands. Companies at the same time are trying to cut manual processes and to automate menial and repetitive tasks in order to reduce their labor costs and to inculcate more efficiency into their business processes. Robotic process automa...

The Internet of Things (IoT) is a complex ecosystem that integrates Information Technology (IT) with Operational Technology (OT) to generate data that can be analysed to increase revenues and improve business productivity. The IoT has moved from the machine-to-machine (M2M) era in which monitoring an asset was the main objective to sensing, gatheri...

Data is quickly becoming one of the greatest assets businesses own. When exposed to analytics, data offers insights that enable businesses to differentiate themselves from competitors. However, this need to capture and analyze data is a double-edged sword: while it helps businesses maintain a competitive edge, it also presents challenges in how to ...

Most enterprises don’t have the time, interest or skill to continually monitor their cloud environments for efficiency—for example, to ensure that their instance sizes are adequate as application usage fluctuates; that they aren’t running idle virtual machines (VMs); or that they aren’t paying more than they need to. To help customers optimize thei...

Once affordable only to massive research organizations, AI solutions are now accessible to any business. Across industries and segments, organizations are leveraging various forms of AI to streamline business operations, improve customer experience, and identify new revenue streams. As a result, businesses are scrambling to amass data of every kind...