scispace - formally typeset
Search or ask a question

Data analytics automation: progress or threat? 


Best insight from top research papers

Data analytics automation represents progress in various fields, including cybersecurity, pipeline monitoring, risk analysis, and IoT platforms. Automation tools aid in anomaly detection, risk management, and root cause analysis, enhancing efficiency, reducing errors, and improving decision-making processes . While big data can be a blessing for more reliable risk analysis, it necessitates fully automated analysis methods, especially in safety-critical domains like airplane landings . Cloud-based solutions like SageMaker, Vertex AI, and Azure ML are evolving to balance analytical autonomy and automation, increasing productivity for data-driven decision-making . Overall, data analytics automation is a significant advancement that streamlines processes, enhances accuracy, and empowers organizations to leverage data effectively for better outcomes.

Answers from top 5 papers

More filters
Papers (5)Insight
Progress. The paper discusses automating data analytics in IoT platforms using advanced analytics and ML models to optimize accuracy and provide interpretable root cause analysis, enhancing efficiency and insights.
Automating data analytics, as discussed in the paper, is seen as progress due to enabling more reliable risk analysis with the abundance of extreme data, particularly beneficial for safety issues like airplane landings.
Progress. Predictive analytics automation in pipeline monitoring reduces time, errors, and costs. Enhances early threat detection, safety, and productivity, benefiting operations like PETRONAS in managing third-party threats and geohazards.
Data analytics automation in cybersecurity, as explored in the paper, signifies progress by enhancing threat detection against malicious advertisements, contributing to cybersecurity advancement.

Related Questions

How does automation risk affect job satisfaction?5 answersAutomation risk has a negative impact on job satisfaction. Workers who fear that their jobs may be replaced by automation in the future experience lower job satisfaction in the present. This effect is particularly pronounced among low-skilled workers who perform routine-based tasks and are more vulnerable to automation. Additionally, workers whose jobs are at a high risk of automation show less trust in the government and less satisfaction with the country's development. Highly automatable occupations are associated with lower levels of job satisfaction and poorer self-rated health, indicating lower job quality. Perceived occupational health risks, which can be associated with automation, also negatively affect job satisfaction. Therefore, the introduction of automation and the associated risk of job displacement have a detrimental effect on workers' job satisfaction and overall job quality.
What are the challenges and opportunities of using autonomous data collection software?5 answersThe challenges of using autonomous data collection software include the presence of redundant information in large datasets, the time-consuming and expensive process of collecting and processing these datasets, and the need for high-quality data for training learning-based models. However, there are opportunities to address these challenges. One approach is the concept of an active data-collecting strategy, which involves increasing the collection density of high-quality data to improve the overall quality of the dataset. This strategy can lead to similar or even better results than the original dataset, while reducing labeling costs and dataset size. By implementing this approach, the performance of autonomous driving systems can be improved.
Can AI be a threat in near future?3 answersAI has the potential to be a threat in the near future. Current and near-term AI technologies can contribute to existential risks, even without the development of artificial general intelligence (AGI). The risks of AI accidents are already evident in both newly deployed AI systems and older technologies, highlighting the potential for future damaging scenarios. The impact of AI on employment and income distribution is a significant concern, with changes in the labor market and potential difficulties in finding employment. The challenge lies in aligning AI's goals with human objectives and specifying its objective function precisely to avoid harmful consequences. While the current threat of AI may be overstated, it presents new challenges for regulation, law, and professional practice.
How many jobs are at risk of automation?5 answersOn average across 21 OECD countries, the share of automatable jobs is estimated to be 9% when considering the heterogeneity of tasks within occupations. In Mexico, the estimate is that 63% of all jobs and 64.5% of manufacturing jobs are at risk of being automated. In the EU, about 14% of adult workers face a very high risk of automation, with the risk higher among males and lower-skilled workers. The distribution of high automatability is skewed towards routine jobs with low demand for transversal and social skills. Overall, the threat from technological advances seems less pronounced compared to occupation-based approaches, and differences in automatability exist across countries, reflecting differences in workplace organization, previous investments in automation technologies, and worker education.
Why automation is important in technology?2 answersAutomation is important in technology because it allows for the automatic monitoring and control of industrial processes, resulting in improved quality, consistency, and cost-effectiveness. It reduces the effort spent on manual work and enables the realization of activities beyond human capabilities, such as speed, strength, and precision. Advances in automation can provide innovative automated services and support market competition effectively and efficiently. Automation also reduces human workload and improves human performance, although it can complicate cognitive activities and contribute to errors and failures. In the process industries, automation enhances product quality, improves process safety and plant availability, and efficiently utilizes resources. It also helps in lowering emissions and is particularly in demand in industries such as chemicals, power generation, petrochemicals, and pharmaceuticals. Automation technology continues to evolve, with the traditional barriers between information, communication, and automation technology gradually disappearing.
Is supply chain management going to be automated?9 answers