Systems | Development | Analytics | API | Testing

July 2024

The AI Advantage: How Retailers are Winning with Intelligent Technology

The Nvidia study found that AI has already been a game-changer for retailers, with 69% reporting an increase in annual revenue attributed to AI adoption and 72% of retailers that already use AI saying they experienced a decrease in operating costs. According to recent reports, the global AI in the retail market is expected to reach $40.74 billion by 2030, witnessing a CAGR of 23.9% from 2022 to 2030. The increasing market size can be attributed to the increased digitization across the retail sector.

Maximizing Efficiency and Savings with a Cutting-edge Test Data Management Framework

In today’s regulatory environment, organizations are compelled to adopt stringent security measures to mitigate the risk of PII (Personally Identifiable Information) data breaches in their production environments. However, the pressure to provision more test data in non-production environments, often sourced from production data, has introduced new vulnerabilities.

Unveiling the New Cigniti Logo | Coforge | Cigniti

We are thrilled to unveil the new Cigniti logo, marking a significant milestone in our integration with Coforge. Our logo now proudly includes the tagline "A Coforge Company," symbolizing our unified commitment to delivering unparalleled AI & IP-led digital assurance and digital engineering services. Both, Coforge and Cigniti Technologies share a common vision of harnessing technology to empower our global clients and end users. Together, we will leverage our combined strengths to drive innovation and exceptional value for our clients, staying ahead in a rapidly evolving tech landscape.

Digital Trust: The Cornerstone of BFSI

Digital trust is paramount for growth and sustainability in the Banking, Financial Services, and Insurance (BFSI) industries. As organizations rush to embrace digital transformation, the significance of digital trust cannot be overstated. Establishing digital trust involves a multifaceted approach encompassing robust cybersecurity, stringent data privacy measures, unwavering transparency, and ethical technology usage.

Why CSOs Should Embrace The Power of AI-Based Self-Healing Test Automation

85% of enterprises will prioritize a cloud-first approach by 2025, propelling their digital transformation initiatives – Gartner Businesses across industries are rapidly migrating to the cloud. This shift is crucial for fostering innovation, scaling efficiently, and responding to market demands with agility. Cloud adoption enhances performance and customer experiences, keeping companies competitive. However, despite these clear advantages, manual software testing can hinder digital acceleration.

Top 7 Anonymization Techniques to Sustain Data Privacy and Compliance Standards

In an era where data breaches generate headlines and data privacy is an increasing concern, how can organizations use the massive amounts of data they acquire without jeopardizing individual privacy? The solution could be found in a unique amalgamation of data anonymization approaches. As we dive into this fascinating topic, we discover how technology is transforming how we anonymize data, ensuring that the insights we gain are useful and respectful of privacy.

Mitigating Risks and Costs: The Imperative to Migrate to SAP S/4HANA Now

Businesses today face constant pressure to stay competitive, agile, and efficient. One of the key strategies for achieving these goals is migrating to SAP S/4HANA, the latest enterprise resource planning (ERP) suite from SAP. The SAP HANA migration is more than just a technical upgrade; it’s a strategic move that can transform your business operations. Here’s why transitioning to SAP S/4HANA is essential and the potential risks of delaying this crucial step.

How An Effective TDM Strategy Can Provide Valuable Business Benefits

Test data management (TDM) is a time and resource-intensive process for numerous big corporations. To illustrate, at one American insurance company, test data collection accounted for 16% of all testing activities, translating into $3 million spent on TDM for a project costing $20 million. By introducing sophisticated TDM processes, the company managed to cut testing expenses by $450,000.

3 Ways Analyst Relations Professionals Can Leverage AI

How to leverage artificial intelligence to enhance the value and impact of analyst relations. Analyst relations (AR) is a strategic function that aims to build and maintain positive relationships with industry analysts, influencers, and experts who provide insights, guidance, and recommendations to technology buyers and vendors.

How to Unlock & Transform Quality Engineering | Joe Colantonio | Rajesh Sarangapani

"As I see it, the future of quality is a harmonious blend of human expertise and AI innovation, driving towards a future where quality is not tested but built into every phase of the software development process," says Joe Colantonio, founder of TestGuild. ✓ The Current State of the Market: Discover challenges organizations face in achieving successful digital delivery and quality engineering. ✓ Transformational Strategies: Learn how BlueSwan accelerates digital delivery, improves software quality, reduces costs, and enhances customer experiences.

Embracing T+1 Clearing and Settlement in the U.S. Financial Markets: A New Era for Financial Markets

The efficiency and speed of trade settlements are critical to maintaining stability and trust in today’s fast-paced world of financial markets. The settlement periods for trade are becoming increasingly shorter due to continuous technological advancements. On May 28, 2024, this evolution took a significant leap forward when the settlement period for most U.S.

Revolutionizing Wealth Management: Legacy Modernization and Streamlining Application Portfolio for Next-Gen Efficiency

In the ever-evolving landscape of wealth management, technology plays a pivotal role in determining the efficiency and effectiveness of operations. Wealth management firms, facing constant pressure to innovate and optimize, must continually evaluate their technological and business process landscapes for cost, time, and functionality efficiencies. This blog delves into providing a structured approach to address these needs and unlock significant value for wealth management firms.

Gen AI in Healthcare: Harnessing its Potential in Innovation & Personalized Care

GenAI can unlock a trillion-dollar opportunity in healthcare, says McKinsey. But how would this unfold? Tune into this podcast where Senior healthcare IT leader Ajay Behuria shares deep insights and vision for GenAI's transformative potential—from reshaping healthcare delivery to optimizing remote patient assistance and ensuring fairness in AI solutions. In this session, Ram Mamidanna, SVP of Digital Engineering Services at Cigniti, delves into real-world implementation journeys, strategies for adoption, and overcoming challenges in integrating GenAI with enterprise architecture.

Ensuring Accuracy and Reliability with ML Model Validation

As demand for machine learning (ML) grows, rigorous testing and quality assurance are crucial. ML models need quality training data and robust algorithms. Without thorough testing, inaccurate outcomes can occur, especially in sectors like healthcare, finance, and transportation. A 2023 ScienceDirect report found data leakage in 294 academic publications across 17 disciplines, highlighting the need to address this issue in ML-based science.

Pioneering the Future: Generative AI's Impact on Medical Devices

According to the World Health Organization (WHO), Up to 50% of medical errors in primary care stem from administrative issues. There is a projected shortfall of 10 million health workers by 2030. Given the statistics highlighting device errors and a shortage of maintenance professionals exacerbate healthcare challenges, Generative AI in medical devices offers diversified solutions.

3 Critical Areas Where Intelligent Automation is Revolutionizing Banking

In the world of banking, where customer expectations are continually evolving, and regulatory landscapes are becoming increasingly complex, the integration of intelligent automation stands out as a pivotal solution. Intelligent automation, which combines artificial intelligence (AI) with robotic process automation (RPA), allows banks to streamline operations, enhance customer experiences, and maintain compliance with ever-changing regulations.

Avoiding Bias and Building an Inclusive Future: Championing AI

Shaping the future of AI goes hand in hand with discussions of diversity, equity, inclusion (DE&I), and women’s leadership. As AI increasingly pervades, revolutionizes industries, and reshapes the daily lives of people, the question of addressing intrinsic biases and ensuring inclusivity in the development of AI becomes critical.