Persistent Systems, a leading global company in digital engineering and enterprise modernization, has announced the launch of Persistent iAURA, a suite of AI-driven data solutions aimed at fostering business growth. These solutions leverage AI and ML to uncover hidden patterns, enabling data-driven decision-making, enhanced business intelligence, and automated data quality assurance and reconciliation.
In today’s data-driven world, organizations face the challenge of processing large volumes of data while ensuring quality, governance, and cost control. This often requires specialized technical expertise, impeding strategic decision-making and hindering growth, especially with the emergence of AI, which demands access to and integration of large quantities of high-quality data. Companies looking to harness AI encounter obstacles in data utilization, such as extracting actionable insights, ensuring quality, and automating migration processes. iAURA provides tailored solutions that accelerate the transition to AI-driven enterprises, offering a comprehensive approach from data acquisition to insights through analytics and accelerators.
The iAURA portfolio comprises various AI-driven solutions for comprehensive enterprise data management, including:
– iAURA Insights: Empowers teams to interact with their data in natural language and gain relevant business insights.
– iAURA Migrate: Automates and expedites the migration and modernization of data technologies using GenAI-powered tools. This includes a comprehensive suite of solutions encompassing business intelligence, ETL, and data warehousing.
– iAURA Data Ops: Ensures AI-driven data quality, data reconciliation, and data currency.
– iAURA Platforms: Supports customers in managing tool selection, governance, security, and costs through data and AI platform services.
Initial deployments of iAURA have yielded significant benefits. With iAURA Insights, Persistent has developed virtual agents powered by GenAI that guide users step-by-step from business requirements to offerings. This enabled a leading pharmaceutical company to reduce response time for proposals by 90%.
iAURA is compatible with all major hyperscale platforms and leading LLM providers, giving customers the flexibility to utilize their preferred technologies. By combining advanced software solutions, robust platform capabilities, and extensive implementation expertise, iAURA offers unparalleled flexibility in deployment models. It integrates Persistent’s IP as accelerators and APIs, ensuring seamless integration and optimal performance.
Bidish Sarkar, Senior Vice President – Data and Analytics at Persistent, expresses excitement about introducing iAURA, a state-of-the-art suite of AI-driven data solutions designed to drive business growth. Sarkar emphasizes iAURA’s optimization of data management and acceleration of the transformation from data acquisition to actionable insights. This expansion enables companies to accelerate decision-making, go-to-market strategies, and scaling of GenAI use cases.
Nandini Tare, Associate Practice Lead, Digital Engineering at HFS Research, highlights the crucial role of data in GenAI solutions and the challenges that businesses face in accessing and deriving insights from enterprise data. Tare commends iAURA for unlocking the true potential of data, promoting growth by enabling informed data-driven decisions. The seamless integration and compatibility with hyperscalers ensure infrastructure flexibility, and the ability to contextualize and visualize data accelerates decision-making. The comprehensive suite of iAURA solutions transforms enterprise data into valuable outcomes.
About Persistent:
With over 23,800 employees in 21 countries, Persistent Systems is a global provider of digital engineering and enterprise modernization services and solutions. As a participant in the United Nations Global Compact, Persistent is committed to aligning its strategies and business operations with universal principles for human rights, labor standards, environmental protection, and anti-corruption efforts, while proactively promoting societal goals. According to Brand Finance, Persistent is the fastest-growing Indian IT services brand, experiencing a growth of 268% since 2020.
For more information, visit www.persistent.com.
In addition to the information provided in the article, there are several key facts, trends, and challenges associated with the subject of AI-driven data solutions for business growth:
1. Current Market Trends:
– Increased adoption of AI: Businesses across industries are increasingly leveraging AI to gain insights, automate processes, and drive growth.
– Focus on data-driven decision-making: Organizations recognize the importance of data in making informed decisions and are investing in solutions that enable effective data utilization.
– Emphasis on data quality: The quality of data is crucial for accurate AI-driven insights. There is a growing focus on ensuring data quality through automated processes and reconciliation.
– Migration to advanced data technologies: Many companies are modernizing their data technologies to keep up with the demands of AI and leverage the benefits of advanced analytics and data processing capabilities.
2. Forecasts:
– The AI-driven data solutions market is expected to grow significantly in the coming years. According to a report by Market Research Future, the market is projected to reach a value of USD 140 billion by 2026, with a compound annual growth rate of 24.5% from 2020 to 2026.
– The demand for AI-driven data solutions is expected to rise across various industries, including healthcare, finance, retail, and manufacturing, as organizations seek to leverage the power of AI for competitive advantage and business growth.
3. Key Challenges and Controversies:
– Data privacy and security: The use of AI-driven data solutions raises concerns about the privacy and security of sensitive data. Organizations need to ensure robust data protection measures to maintain customer trust and comply with regulatory requirements.
– Skill gap: The adoption of AI-driven data solutions requires specialized technical expertise. Companies may face challenges in acquiring or developing the necessary skills within their workforce.
– Ethical considerations: As AI becomes more prominent in decision-making processes, there is a need to address ethical considerations, such as bias in algorithms or unintended consequences of AI-driven decisions.
Advantages of AI-driven data solutions for business growth include:
– Enhanced decision-making: By leveraging AI and ML, these solutions enable data-driven decision-making, providing organizations with valuable insights for strategic planning and operational efficiency.
– Improved business intelligence: AI-driven data solutions can uncover hidden patterns and trends in large volumes of data, allowing businesses to gain a deeper understanding of their customers, markets, and operations.
– Automation and efficiency: These solutions automate data quality assurance, reconciliation, and migration processes, saving time and resources while ensuring accuracy and consistency.
Disadvantages of AI-driven data solutions include:
– Implementation challenges: Integrating AI-driven data solutions into existing IT infrastructure can be complex and require careful planning and customization.
– Cost considerations: Implementing and maintaining AI-driven data solutions can be costly, especially for smaller organizations with limited budgets.
– Risk of reliance on AI: While AI can bring significant benefits, there is a risk of over-reliance on automated decision-making processes, potentially leading to errors or missed opportunities for human judgment.
For more information on AI-driven data solutions and their impact on business growth, you can visit the Persistent Systems website: Persistent Systems.