World Of AI: Creating An Efficient Environment

Artificial Intelligence has been the need of the era in recent months to cope up with rising needs of the economy aside the pandemic massacre. Increased processing of data as remote access and digital services are more preferred, AI and cloud technologies take over the requirements of the generation to allow real-time modernization of services.

With escalated stake of the economy, AI technologies has evolved over the decades to create new job roles in various sectors. As per the research report by IDC, more than 800,000 direct jobs were estimated by 2021 reaching out to a net figure including the estimate of jobs lost to automation. Further in their 2015 predictions, they had stated,

Further insights reveals that the global AI market is estimated to grow at 29% CAGR, valuing from $42.8 Billion in 2019 to $152.9 Billion in 2029. Analysing into such advancements, as the report of Analytics Insight,

Implementation of these advanced technologies to the existing infrastructure continues to pose challenges to the businesses as they require complete understanding of the varied and automated nature of such. Immersing into such digitalization, complexity of tasks has been formatted to automated manufacturing or service automation.

Studied survey by the Institute of Electrical and Electronics Engineers (IEEE), challenges to business operations involve presence of a permanent hybrid remote and office work structure as security threats continues to elevate its sight on data leaks.

Toby Walsh, an AI professor at University of New South Wales, stated in his new book - 2062: The World that AI Made. The power of computers to remember what it learns from new things is what adds to the uniqueness of Artificial Intelligence.

Surge in the data usage, generating exabytes of data every minutes, human possibilities are restricted to process or analyze such efficiently. Enhancing the performance of completing tasks on a real-time basis, AI forges a path of data management through phases as - Data Discovery, Data Analysis, Data Preparation and Data Modelling. Going through pre-processing datasets and training them on a constant basis enables machine learning to a better and accurate prediction or detection of anomalies in systems.

This is not surprising as people are more connected with devices as smartphones, sensors, drones, robots, Iots and many other technologies in transforming their common living world. Acceleration in adoption has been notably signified by - Iot: 42%, Augmented reality and Virtual Reality: 35%, Video conferencing: 35%. Such a survey on the responses of the Chief Information Officers (CIO) and Chief Technology Officers (CTO) by the Institute of Electrical and Electronics Engineers stated,

Our Services