Hughes Systique Corporation (HSC)

Mr. Rajat Sharma , Chief Engineer, was invited to speak in a panel discussion at Confederation of Indian Industry’s 8th edition of Automotive Industry 4.0 Summit, which was held at Hotel Leela Ambience in Gurugram. Mr. Sharma presented his thoughts on data privacy and ensuring safety while also discussing the use of AI/ML in vehicle development, the adoption challenges of these technologies, navigating the data privacy concerns, and ensuring safety in increasingly software-driven vehicles. He emphasized that “Automotive companies must establish transparent data policies, clearly informing customers about what data is being collected, how it will be used, and with whom it will be shared. Data must also be safeguarded from unauthorized access during transmission and storage by using strong encryption and authentication protocols”. He concluded his part by sharing a use case of a project for defence equipment, highlighting how “Critical components in a vehicle can have redundancy and built-in self-test”. #automotive #thoughtleadership

Network Function Virtualization (NFV) has become the standard for deploying network services for a few years now. It has seen widespread adoption from enterprises, telecom operators, and managed service providers (MSPs). In basic terms, NFV takes network functions which existed as physical hardware earlier, and virtualizes them as software functions. Some components such as firewalls, encryption, and load balancers now exist on virtual machines (VMs). You can get a better idea of this concept here: https://lnkd.in/gjHWFQBK Post-standardization, the focus of this area has now shifted to supporting emerging tech such as AI/ML and 5G. Here are some of the forward-looking trends in this space: Containerization: Packaging NFVs in containers makes them more flexible, lightweight, and easily scalable. AI/ML: Intelligent algorithms that optimize network performance Edge Computing: Deploying VNFs at the edge of the network to support low-latency use cases 5G: To support 5G requirements such as low latency and high data rates #NetworkFunctionVirtualization #NFV #DigitalTransformation #Automation

Just as India was ahead of other nations in rolling out 5G services across the country, it is also planning to develop and release 6G before anyone else. This was confirmed recently by the Indian Commerce and Industry Minister. India is well on its way to delivering on this claim, as it ranks the top 6 in global patent filings for 6G technology. The Indian government has also initiated a strategy known as the Bharat 6G Vision for this purpose, with an ambitious timeline of 2030. 6G aims to further improve on factors like capacity, throughput, reliability, and privacy, with the goal of enabling AI/ML capabilities and increasing cloud infrastructure demands. To find out more, visit: https://lnkd.in/gzkzMf3w The future of 6G in India is promising, as the leadership is focusing on innovation, IP protection, and international collaboration. #6GTechnology #Bharat6GVision #AIand6G #DigitalTransformation

Mr. Vinod Sood, MD, Hughes Systique Corporation (HSC), delivered the closing speech of Day 1 at South Asian University’s Workshop on Machine Learning and Economics (WMLE): Theory, Applications & Implications. The workshop theme was “Unlocking the Future: Machine Learning Meets Economics — From Algorithms to Policy” and was held at South Asian University’s campus in Delhi. Mr. Sood started by reflecting on the day's sessions and shared his thoughts about how Industry 4.0, which centers on the ability to extract valuable actionable insights from the vast amount of data generated across industries, can act as a catalyst to solving the world’s problems. He said that “In this data-driven era, leveraging the power of cutting-edge technologies like machine learning (ML) and AI is no longer just an advantage. It is critical for driving innovation and staying competitive.” Mr. Sood observed that the “true potential of AI & ML can be unlocked with close collaboration of technical expertise with deep domain knowledge across disciplines. Industry specialists or domain experts and academia need to work together with data scientists for efficient AI & ML solutions which will solve real-world problems”. He emphasized the importance of industry & academia linkages and the necessity for more such workshops in the future, having balanced participation from industry experts and the academic community. Mr. Vinod Sood highlighted the need to prioritize transparency in AI development. He concluded the speech by stating that “striking the right balance between oversight and innovation is crucial to ensure that AI contributes positively to society.”

As technology advances, traditional testing methods are struggling to keep up with the complexity of modern software systems. Cognitive QA transforms quality assurance with AI-driven intelligence. Read more: https://lnkd.in/gs-ty-3B Learning and Evolving: It uses machine learning to improve continuously, learning from past test cases and user feedback. This helps in driving better outcomes over time. Inferring Relationships: With knowledge graphs and advanced reasoning engines, it connects the dots between entities. This improves accuracy and delivers deeper insights. Maintaining Context: It maintains context across scenarios, handling complex, multi-step interactions with ease. By automating complex test cases, enhancing precision, and delivering real-time insights, Cognitive QA is shaping the future of QA. #QualityAssurance #CognitiveQA #MachineLearning #Automation

In 2024, many organizations are focusing on OPEX optimization, owing to an inflationary climate and industry pressures. One significant way they're achieving this is through digital transformation initiatives, focusing on emerging trends such as AIOps and sustenance. AIOps streamlines IT processes, bring OPEX efficiency by reducing manual inputs, downtime, and faster issue resolution. At the same time, focus on cost optimization measures such as sustenance is improving long-term ROI for companies. Together, AIOps and sustenance directly impact OPEX by tackling efficiency and ensuring the quality and reliability of IT infrastructure. #AIOps #SustenanceEngineering #ITOptimization #OPEX #DigitalTransformation

Join Mr. Amit Gupta, AVP of engineering, as he speaks at a panel discussion at South Asian University's Workshop on Machine Learning and Economics, which will be held on October 6 at 1400 hrs. He will be talking about the "Impact of Algorithms on Digital Platforms and Society" with special focus on antitrust, innovation and labour markets. To register, please visit: https://lnkd.in/gyangcKg And to know more: https://lnkd.in/gB4mpRbF

As companies undergo rapid digital transformation and business expansion, their network infrastructure has to keep up with scale and offer high availability. This is where network optimization becomes a focus. Network optimization is the umbrella term which covers all the adjustments made to monitor, manage, and improve network performance. The goal here is to ensure efficient functioning of the network to support business demands, while optimizing costs. As network optimization has evolved as a function, it has seen the integration of new age technologies such as automation and predictive analytics to reduce manual dependency and further achieve OPEX efficiencies. #network #networkoptimization #networkmanagement #digitaltransformation

Team HSC will be present at the Governance Now 9th PSU IT Forum 2024, on September 26th, 2024, at the Holiday Inn, Aerocity, New Delhi. The forum represents an opportunity to meet and interact with the top brass from the nation's leading PSUs, giving a glimpse into the government's technological transformation. As the giveaway partner, Hughes Systique is thrilled to be a part of such discussions around cutting-edge technologies such as 5G, AI, blockchain, machine learning, and many others. Meet the Hughes Systique team at the event!

In today’s hyper-connected world, ensuring optimal network performance is crucial for industries ranging from technology to manufacturing. Network optimization is key to achieving peak performance, reducing costs, and enhancing productivity. Read more: https://lnkd.in/gZSvrkcv Network optimization encompasses various techniques to manage latency, bandwidth, and traffic effectively, ensuring that your network operates at its best. Key Benefits of Network Optimization: 1) Enhanced Efficiency & Speed: By optimizing network traffic and minimizing latency, organizations can accelerate data exchange, resulting in faster response times and improved overall efficiency. 2) Cost Savings: Effective network optimization reduces the need for excessive bandwidth and infrastructure, lowering operational costs while maintaining high performance. 3) Increased Reliability: Optimized networks are less prone to congestion and downtime, ensuring consistent and reliable connectivity, which is essential for mission-critical applications. 4) Improved Productivity: Streamlined data exchange and minimized bottlenecks lead to better performance and productivity across all departments. By implementing advanced network optimization strategies, businesses can achieve a cost-effective, high-performing network infrastructure that supports their growth and operational needs.