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3 weeks ago | 
cioinfluence.com | Rishika Patel
Staying ahead in today’s tech-driven world means keeping a pulse on the innovations reshaping enterprise IT. This week’s roundup brings you a concise briefing on the forces propelling digital strategy—from the evolving role of cloud infrastructure to the rise of intelligent automation and the tightening grip of cyber threats. As businesses double down on digital resilience, cloud platforms have become the launchpad for scalable innovation.
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3 weeks ago | 
aithority.com | Rishika Patel
Why Agentic AI Is the Next Big Shift in Workflow OrchestrationAgentic AI is redefining how go-to-market teams orchestrate their operations. Gone are the days of fragmented automation tools and brittle scripts scattered across the tech stack. In their place, intelligent agents now operate with a level of autonomy that mirrors strategic human decision-making, only faster, more scalable, and always on.
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3 weeks ago | 
cioinfluence.com | Rishika Patel
Testing cloud-native Java applications presents a unique set of complexities driven by the distributed nature of microservices, dynamic infrastructure, and the need for continuous delivery. As organizations migrate workloads to containerized environments and adopt orchestration tools like Kubernetes, traditional testing methodologies often fall short.
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3 weeks ago | 
cioinfluence.com | Rishika Patel
As enterprises race toward digital transformation, cloud hosting has emerged as a cornerstone of operational agility, offering unmatched scalability, enhanced reliability, and robust security. Yet, for organizations operating in highly regulated industries such as healthcare, finance, and government, the journey to the cloud remains far from straightforward. The hesitation isn’t unfounded.
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3 weeks ago | 
aithority.com | Rishika Patel
Noam Maital, Co-founder and CEO of Darwin in this quick catch-up shares about ethical and responsible AI adoption, building secure AI stacks, AI compliance enforcement and policy for safe AI adoption in governance. Hi . Tell us about your journey in AI and what led you to start Darwin. The idea for Darwin really started with my previous company, Waycare.
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3 weeks ago | 
aithority.com | Rishika Patel
In the fast-evolving world of enterprise AI, Retrieval-Augmented Generation (RAG) has emerged as a foundational technique to improve the relevance and accuracy of large language model (LLM) outputs. By dynamically retrieving information from external sources, such as vector databases or document repositories, RAG extends the utility of pre-trained models far beyond their static knowledge boundaries.
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4 weeks ago | 
cioinfluence.com | Rishika Patel
Enterprise IT is undergoing a structural transformation, not just a speed upgrade. CIOs and tech leaders now face the dual challenge of integrating next-gen technologies while architecting systems that are flexible, secure, and built for long-term impact. This week, the spotlight is on the rapid advancement of cloud-native strategies, where agility and scalability are driving infrastructure redesigns.
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4 weeks ago | 
cioinfluence.com | Rishika Patel
Securing modern enterprise networks is no longer a task that can be handled manually. The rise in threat complexity, coupled with the growing scale of hybrid environments, demands a new approach—Network Security Automation. By leveraging automation tools and intelligent workflows, organizations can offload repetitive, time-consuming tasks like vulnerability scans, intrusion detection, and incident response.
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4 weeks ago | 
aithority.com | Rishika Patel
While conversational AI tools like ChatGPT and Claude have captured widespread attention, a more transformative shift is underway—one driven by autonomous AI agents. These agents are not just reactive assistants but proactive systems capable of perceiving their environment, reasoning through complex scenarios, and taking actions with minimal human input. Unlike traditional automation solutions that rely on static workflows, AI agents operate dynamically.
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1 month ago | 
cioinfluence.com | Rishika Patel
From powering AI-driven applications and business automation to enabling everyday mobile experiences, software continues to shape the way we live, work, and connect. Within this dynamic ecosystem, full stack development has emerged as a cornerstone of modern software engineering. It represents a holistic approach where developers operate across both the frontend and backend layers, enabling tighter integration between user interfaces, server-side logic, and data systems.
