Better data practises, confidence in AI, and business integration will result in additional profits of around USD 460 billion.

Infosys Data+AI Radar: Making AI Real: Companies can earn over USD 460 billion in incremental profit . Companies that embrace data-sharing movement gain more value from their data .

Bangalore (Karnataka) (India), November 16 (PRNewswire): Companies can earn over USD 460 billion in incremental profit if they do three things: improve data practices, trust in advanced AI, and integrate AI into their business processes, according to Infosys' Data+AI Radar: Making AI Real, but most organizations are new to AI and face daunting challenges to scale.Among the 81 percent who used their first true AI system in only the last four years, 50 percent in the last two years, according to the survey, 63% of AI models work only at basic capability, are run by humans, and they often fall short of data validation, data collection, and data strategies.Only 26 percent of researchers are satisfied with their data and AI solutions.Despite the siren song of AI, something is certainly missing.

Companies that embrace the data-sharing movement gain more value from their data.When data is treated like money and distributed in hub-and-spoke data management schemes, it increases in value ($105 billion in incremental value).Companies that update data with low latency earn more revenue, revenues, and subjective measures of value.Transform from data security to data trust.

These requirements address the challenges of data mining and manipulation, build confidence, and allow researchers to leverage deep learning and other advanced algorithms.Extend the AI team beyond data scientists.Businesses that apply data science to practical needs create value.According to the report, businessdata scientist collaboration improves accuracy and value extraction (additional $45 billion profit growth).Business and IT are at the crossroads of intelligent data.

According to Infosys survey, the financial services industry had the highest satisfaction with its data and AI applications, followed by retail and hospitality, healthcare, and high-tech.According to Satish H.C., EVP and Co-Head Delivery, Infosys, companies that have built foundations to trust and share their data are more agile and scale their AI.Companies that do not trust their data risk a vicious cycle of pilot purgatory, relying on data and AI to solve simple problems.The two approaches to improve business performance and financial rewards are the Infosys DATA+AI Radar 2022, which is available online.

The researchers recruited professionals, subject matter experts, and corporate leaders to gain additional quantitative data.Infosys is a global leader in next-generation digital services and consulting.Over 300,000 of us work to enhance human potential and create the next generation of opportunity for individuals, companies, and communities.With more than four decades of expertise in tasked with directing clients' digital transformation through the cloud, we have an impressive track record in assisting in more than 50 countries.We enable them with an AI-powered core, empower the organization with agile digital at scale, and ensure continuous improvement by continuously improving by means of continuous learning, such as machine learning, and insights from our innovation ecosystem.

Infosys may make additional written and oral forward-looking statements from time to time, including statements made in the Company's filings with the Securities and Exchange Commission and our shareholder reports.Except as required by law, the Company undertakes not to update any forward-looking statements made by or for the Company.

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