Search results for: 'close da1a learning'

Medical devices utilizing single imaging technology have been used for decades. While single imaging technology has its merits, multimodal or combination of different imaging techniques have the potential to improve the diagnostic accuracy of the physician and help achieve better treatment outcomes. With the introduction of whole-body PET-CT and SP...

Clinical decision support systems (CDSS) provide actionable information for improving the decision making abilities of the health professionals. However, the traditional CDSS platforms have drawbacks such as alert fatigue, diagnostic errors, workflow disruptions that can have detrimental effect on patients health outcomes as well as healthcare prov...

Respiratory diseases are related to the airways and the structures of the lungs. They can affect air sacs, interstitium, blood vessels, pleura, and chest wall. Common respiratory diseases include chronic obstructive pulmonary disease (COPD), asthma, pulmonary hypertension, and occupational lung disease. According to the World Health Organization, m...

Social media analytics is the process of evaluating and examining data about conversations on social media platforms to understand customer preferences and gain competitive intelligence. Social media analytics can be predictive, prescriptive, or descriptive and help businesses understand different parts of a problem, thereby enabling them to tackle...

The need for adapting Microelectromechanical Systems (MEMS) technologies is rooted in the requirement to enable high and faster on-chip data processing needs across all industries. MEMS technology has drastically evolved over the years with a high need for miniature smart sensors with high efficiency. The key factors that are driving the MEMS tech...

The proliferation of internet of things applications, such as smart manufacturing and smart transportation, has resulted in the explosion of artificial intelligence (AI) and big data. These applications heavily rely on complex AI and machine learning algorithms, requiring computational solutions to handle varying workloads. Power-intensive, costly,...

The automotive industry defines life on board as the time occupants will spend on board a future connected and automated vehicle. Level 4 automated driving will transform how vehicles are designed, from the inside out. With minimum-to-no driving activity involved, vehicle control systems such as steering, braking, and accelerating will be hidden aw...

10 Jan 2022  |  Global  |  Market Research

Global AI-enabled Business Intelligence Growth Opportunities

Transformative Mega Trends of AI-enabled Business Intelligence Solutions to Democratize Enterprise Analytics

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Conversations around the value of business intelligence platforms are currently shifting from being focused on data visualization to emphasizing the benefits of augmented analytics. Business intelligence vendors have introduced new artificial intelligence (AI) tools that allow users with limited training and statistical knowledge to seamlessly acce...

As companies align their environmental, social, and governance (ESG) goals with the United Nations Sustainability Development Goals (SDG), they increasingly adopt the Internet of Things (IoT) and Big Data technologies to improve their performance. Integrating IoT with other digital technologies, such as blockchain, data analytics, artificial intell...