5 Factors Steering the Power of Artificial Intelligence in 2021

Analytics Insight presents Five Factors Steering the Power of Artificial Intelligence in 2021.

Almost everyone in this world is utilising the power of Artificial Intelligence for efficient service in this fast-paced busy life. It is well-known that the combination of the digital transformation and the tech-driven era is contributing to the growth of AI and machine learning models. Reputed organisations and start-ups are motivated to adopt the power of Artificial Intelligence to boost productivity as well as ease the workflow. Ever wondered about what are the factors steering the widespread recognition of Artificial Intelligence? Let's dig into these five factors to understand the reasons behind this revolution.

5 Factors Steering the Power of Artificial Intelligence in 2021

Access to Datasets

Organisations are experiencing data explosion in this data-driven culture. The outbreak of the pandemic also contributed to the ample supply of multiple sets of complex data from various devices. Access to datasets is one of the main factors to steer the power of Artificial Intelligence. Strategic data management is the crucial part of working with machine learning algorithms to reap the quality value of data. These models do not work unless there is an access to sufficient databases for training purposes for the future use. Large scales of historical, as well as current datasets are needed for machine learning models to solve complex problems and predict appropriate outcomes efficiently. Multiple industries are receiving consumers, patients and clients datasets with the help from digital transformation to boost productivity.

Integration of Artificial Neural Network

An artificial neural network is revolutionising the traditional machine learning models for the advancements in computer vision. It mimics the operations of a human brain with the help of the above-mentioned datasets. These factors are inter-connected in some unusual ways. Convolutional Neural Network, steers the power of Artificial Intelligence and deep learning into computer vision for better image processing to detect appropriate business insights for the organisations in this competitive market. Single Shot Multibox Detector and Generative Adversarial Networks are two of the important advancements in computer vision through these artificial neural networks.

Micro processing Chips

The semiconductor industry is focused on developing microprocessing Artificial Intelligence chips to provide strong bandwidth memory and on-chip memory in the upcoming years. It is one of the important factors to steer the power of Artificial Intelligence. These chips will enhance computer vision at a new level for organisations to deal with data management, efficiently. The AI chips have transformed the traditional CPUs into Graphics Processing Unit (GPU). It is essential for smart devices and machines for its tens and thousands of cores that help in the training of machine learning models.

Introduction of Open-Source Software

Multiple open-source software  provides necessary data management tools to utilise in transforming complex data into meaningful outcomes. All these data management tools are 100% open-sourced that help the beginners, as well as the professionals with a source code. Data scientists and machine learning engineers use this incredible open-source software to reduce time in coding and focus more on generating the right solutions to predict the nearby future.   This software also provides data visualisation tools to create interactive and colourful reports and projects with sufficient data and exports it to multiple devices.

Higher ROI

Yes, it is overwhelming to learn about Artificial Intelligence, computer vision, machine learning and data. But, business leaders are motivated to adopt cutting-edge technologies due to higher ROI. There is a bright future ahead in this cut-throat competitive market if an organisation adopts artificial neural networks and data management tools as soon as possible. Machine learning models are successful in boosting productivity, protecting employees from hazardous scenarios and understanding customer behaviour for better customer engagement. Leveraging the power of Artificial Intelligence with the compiled datasets, is providing a better chance of receiving higher ROI in the tech-driven world.