Our views on business technology trends
Enterprise AI for an A2A ecosystem
Prof. Mohanbir Sawhney shared deep insights into the application of enterprise AI across organizations, more specifically for the marketing function.
How AI gives corporate relationship managers a strategic edge
The role of a corporate relationship manager has grown more challenging in a digital world of fragmented data and time-consuming administrative tasks. An assistant built with artificial intelligence (AI) and natural language processing (NLP) can streamline day-to-day tasks and equip managers with the necessary customer data to build stronger relationships and serve their clients more effectively.
What agentic AI means for financial services
Agentic AI is making an impact on financial services, but obstacles remain. Success depends on a practical plan: A strategic roadmap, business-led focus, strong tech foundations, and responsible, large-scale execution.
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The promise and perils of agentic AI in payments
Autonomous agents could revolutionize payments — if they can overcome today's obstacles.
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How to overcome language barriers: AI translation for the insurance industry
By investing in AI-powered multilingual solutions, insurers can improve customer experience, streamline operations, and unlock new markets.
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How agentic AI in telecom can boost efficiency in operations
Agentic AI is revolutionizing the telecom industry by enabling autonomous network management, hyperpersonalized customer experiences, and significant operational cost reductions.
An AI playbook for retail marketers
The future of retail marketing is AI-powered, but only the smartly integrated will thrive.
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How AI agents will unlock value in CRM systems
AI agents applied to sales and marketing platforms will deliver enhanced value and address persistent problems in enterprise customer relationship management systems.
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How Al transforms underwriting in security issuance operations
The financial securities issuance process is cumbersome and time-consuming. With the help of artificial intelligence (AI)-powered platforms that leverage a mix of traditional and generative AI, the process can be eased.
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From delays to precision: How AI is optimizing last-mile deliveries
Artificial intelligence (AI) helps logistics companies in demand forecasting, fleet scaling, dynamically adapting to real-time factors, creating personalized delivery experiences, and reducing costs related to speedy last-mile deliveries.
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Democratizing alternative investments: Unlocking opportunities for retail investors
Retail investors are increasingly drawn to alternative investments for diversification, but hurdles like valuation, liquidity, and regulation slow adoption. Education, strategic allocation, and tech solutions can help unlock broader participation.
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An AI playbook for retail marketers
The future of retail marketing is AI-powered, but only the smartly integrated will thrive.
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First impressions matter: Why banks must modernize client onboarding
Client onboarding at financial institutions is still an outdated and paper-based process. This hinders efficiency and personalization. Embracing digital solutions and best practices can streamline onboarding, enhance client experiences, and drive growth, positioning banks to thrive in a competitive and evolving landscape.
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Telecom leader transforms customer experience through digital innovation
Telecom leader modernizes legacy systems, consolidates platforms, and automates processes, enhancing customer experience and operational efficiency.
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A strategic roadmap for implementing site reliability engineering practices
Discover a strategic roadmap for implementing site reliability engineering (SRE) practices that enhance system reliability, automate workflows, and align with business objectives to improve performance and customer experience.
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How to pick the right hyperscaler for enterprise AI
Leveraging hyperscalers can ease the challenges of implementing AI for organizations — if they set the stage for them correctly.
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Four steps retailers can take to improve their cloud security
Cloud technology has the potential to transform how retailers operate and satisfy customer demands. Nonetheless, it also introduces security issues that must first be managed.
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Reimagining work: Why AI needs humans
AI is not replacing humans in the workplace but redefining their roles. Organizations that navigate the synergy between AI and humans successfully will thrive.
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Rising demand boosts need for semiconductor firm to build integrated customer experience
Infosys implemented a proactive and efficient customer experience center for a semiconductor client, leveraging advanced ServiceNow capabilities.
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Scaling Generative AI: Strategies for Success
To scale generative AI and drive value, businesses should identify the ideal use case, develop a strong AI infrastructure, and get their people practices right.
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What makes a winning AI-first business transformation
Companies should innovate to arrive at concrete business capabilities that can help them achieve quantifiable outcomes.
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Beauty and the Beast of Consumer Expectations
To continue to remain relevant, the beauty industry must find new ways and employ technologies including AI and AR to deliver superior customer experiences.
