It has been found that taking a look at standard ECG tests, AI can help identify patients who are more likely to die of any medical reason within a year. The researchers from Geisinger Health System in Pennsylvania reached this conclusion after analyzing the results of 1.77 million ECGs and other records from almost 4,00,000 patients. The team of researchers used that data to compare ML-based models. The model can either directly analyze the raw ECG signals or depend on aggregated human-derived measures and commonly diagnose disease patterns. The neural network model was found to be more efficient which can directly analyze the ECG signals for predicting the one-year risk of death.

Today, companies across all industries are leveraging Artificial Intelligence as it's offering great potential to streamline business processes, lessen operational costs and automate dreary tasks. Since the progression of Cloud Computing, Big Data, and Internet of Things (IoT) could empower further market growth in the AI space, the global market for this emerging technology is predicted to touch $190.61 billion by 2025. However, in its recently issued market analysis report, market intelligence firm Tractica expects that the annual global market for AI software revenue could be worth $105.8 billion by 2025. While AI has been disrupting all the industries in the past few years, it is majorly impacting the marketing, security, healthcare, and automotive industries. Healthcare sector is one of the most AI technology adopter that is leveraging this technology to ease burden from the physicians, reduce human errors throughout the diagnosis process, save costs, and improve better outcomes.

Stamford based global research and advisory firm Gartner has put forward the estimates of the worldwide spending on RPA (Robotic Process Automation) software. According to Gartner's report, the global expend on RPA will boost up to $2.4 billion in 2022 from $680 million previous years. The major factor for this upsurge is the basic necessity of the enterprises to instantly digitize and automate their legacy work through RPA. Saikat Ray, senior research director at Gartner said, "Organizations are adopting RPA when they have a lot of manual data integration tasks between applications and are looking for cost-effective integration methods." The report also foresees the deployment of RPA by 85 percent of the big organizations by the end of 2022.