Hughes Systique Corporation (HSC)

🚀 The AI revolution is here - but are we ready for it? 🤖⚖️ The rapid adoption of AI across industries has sparked critical discussions about responsible deployment. As enterprises integrate AI into their core strategies, they must address real challenges around bias, security vulnerabilities, and decision-making transparency. Read More: https://lnkd.in/gehDqyY8 ✅ How can businesses build Responsible AI? 🔹 Addressing the unintended consequences of AI—bias, reliability issues, and security risks. 🔹 Enhancing LLM observability to improve AI oversight and accountability. 🔹 Implementing a practical framework for fairness, explainability, robustness, and privacy. 🌍 Success in the AI era depends on balancing innovation with responsibility. Enterprises that establish clear governance structures will be better positioned to leverage AI's full potential while maintaining stakeholder trust. #AI #ResponsibleAI #EthicalAI #ArtificialIntelligence

Why Hasn’t Enterprise 5G Taken Off Yet? Network APIs Might Be the Missing Piece. 5G was supposed to be a game-changer for enterprises, improving upon latency and bandwidth, among other things. Yet, adoption remains slow. Why? Read more: https://lnkd.in/gNiAkbRN ➡ High infrastructure costs – Deploying private 5G networks demands significant investment. ➡ Integration challenges – Many enterprises struggle to merge 5G with their existing IT and cloud ecosystems. ➡ Uncertain ROI – Businesses need clearer monetization pathways before making the leap. This is where Network APIs come in. By exposing network capabilities like slicing, quality-of-service controls, and location intelligence via APIs, enterprises can leverage 5G without massive upfront costs. Think of it as “5G-as-a-service,” enabling pay-as-you-go models and new revenue streams for telcos and businesses alike. Network APIs could finally make enterprise 5G adoption profitable. Are we about to see a shift? 🚀 #5G #NetworkAPIs #Enterprise5G #Connectivity

HSC helps its clients enhance the longevity, performance, and cost-efficiency of their mature products, focusing on reducing the total cost of ownership (TCO). HSC has performed multiple platform migrations from legacy systems to modern, cloud-native architectures, reducing OPEX costs. Here are some of the services offered by HSC in the value engineering process: ✅ Product Augmentations & Feature Extensions ✅Technology Enhancement ✅Product Customization ✅Platform Development ✅Cost Optimization The idea behind value engineering is to enhance the functionality or value of mature products. It involves refining or repurposing existing features to deliver better value without impacting costs. #valueengineering #managedservices #costoptimization #productaugmentation #technologyenhancement #platformdevelopment

🚀 From Vision to Impact: Applied AI in Action We are at a juncture where AI holds huge potential in transforming industries. Yet, as this landscape evolves, enterprises must navigate how to best leverage AI to create the most impact. This is where Applied AI comes into play. Find out more: https://lnkd.in/g2ywHFvS The road to successful AI implementation lies in aligning advanced technologies with business-ready solutions that drive change where it matters most. 💡 Explore these insights in our post below to discover how you can unlock the true potential of AI for your organization. 👉 Swipe through the slides to learn more and let us know: How is your organization applying AI today? What challenges are you solving? #ArtificialIntelligence #AppliedAI #Innovation #Scalability

Mr Vinod Sood, Chairman, CII-NR Committee on Digital Transformation (DX) and Co-Founder & Managing Director, Hughes Systique, at the Confederation of Indian Industry Big Data & Analytics Conclave in New Delhi today. Truly #BigData and #Analytics are reshaping India’s economy together by enabling data-driven decision-making, increasing productivity, and fostering innovation across sectors.  🪴 In agriculture, precision farming with data analytics helps farmers optimize irrigation and crop management, leading to higher yields and less wastage. 🩺 In healthcare, predictive analytics transforms patient care by enabling early diagnosis and personalized treatment plans and improving hospital management efficiency. 💸 The finance sector benefits from real-time analytics for risk assessment, fraud detection, and customer insights, thereby improving financial inclusion and services. 🏭 Manufacturing has moved to smart factories, where data-driven insights help with better resource management, predictive maintenance, and more efficient production processes. Big data and analytics are helping India move towards a fully digital economy by enabling better governance through data transparency, offering personalized services in sectors like retail and education, and providing deeper economic insights.

AI-driven data engineering is revolutionizing data processing, analysis, and utilization by automating tasks, applying advanced analytics to the data, and improving data quality. In a way, it transforms how organizations manage and utilize their massive data. Subsequently integrating AI into data engineering, organizations can drive innovation at an industrial scale, derive actionable insights from the data, and gain a competitive edge in this data-driven landscape. Consider a use-case around retail where a brand collects various data points of its customers, like: ℹ️ Previous orders and browsing history ℹ️ Information about billing, shipping, and location ℹ️Information about customer support, reviews, and other behavioral info All these data sets are independent. Data engineering can help obtain a comprehensive view of customers, enabling unification and pre-/post-processing of these data sets. This helps find relevant answers to questions such as, “What kind of orders are in, and what region requires high customer support?” #dataengineering #actionabledata #dataanalytics

Mr. Amit Gupta, AVP – Engineering, was invited to participate and share his insights in a panel discussion on “Leveraging AI and other emerging technologies for advanced automation in the ER&D sector”, at nasscom’s Technology Confluence. The theme of the conference was “Propelling Innovation for Endless Opportunities.” The conference was attended by tech enthusiasts, industry trailblazers, and forward-thinking visionaries at the Pullman Hotel in New Delhi. The panel explored “how to leverage AI and emerging technologies to foster innovation, optimize operational efficiencies, and enhance the competitive advantage of the ER&D sector.” Mr. Gupta focused on the current use cases where AI-enabled automation can lead to digital transformation and shared his forecast for the AI industry in the upcoming 2-3 years. Before concluding, Mr. Gupta also talked about how AI Validation & Verification standards and risk management will give “requisite confidence to business executives to adopt AI for critical use cases”. #digitaltransformation #innovation #digitalinnovation #V&V #AI #emergingtech #automation

Managed Security Operations Centers (MSOCs) work around-the-clock to ensure ensure your business stays immune against threats. These MSOC teams work in rotating shifts to detect and eliminate threats and vulnerabilities. Find out more about how they operate: https://lnkd.in/ghksd8bB Lets us have a look into the day-to-day activities of an SOC analyst: 🔍 Morning: Starting with threat analysis and vulnerability assessments to preemptively eliminate risks. 📋 Midday: Reviewing past incidents and assessing the quality of implemented solutions for continuous improvement. 🤝 Afternoon: Collaborating across diverse expertise to redirect incidents to the right skills, ensuring quick, effective responses. But there’s more to the role: 📚 Continuous Learning: Analysts frequently upgrade their skills through certifications and conferences to stay ahead of attackers. ⚡ Unpredictable Challenges: Surprise attacks or system downtimes demand immediate action—isolating threats to contain damage and restoring normalcy. For businesses, MSOC operations bring the benefit of continuous monitoring by dedicated experts, freeing bandwidth of that the business can focus on its core competencies. #ManagedSOC #CyberSecurity #ThreatIntelligence #SOC #CyberDefense

In today’s digital-first world, Network Security Monitoring (NSM) stands as the frontline defence for safeguarding enterprise networks. It continuously collects and analyses traffic to escalate alerts, identifying and responding to potential intrusions. Read more: https://lnkd.in/g7hxtXFP But what value-add does it bring over Network Monitoring? > Network Monitoring ensures the performance and availability of network components like servers, routers, and switches, guaranteeing smooth operations. > NSM, on the other hand, focuses on the security of these operations, ensuring they are protected from vulnerabilities and threats. Together, they create a robust system where performance and security go hand in hand. 🛡️ Primary Use Cases for NSM 1️⃣ Intrusion Detection: Detects and blocks unauthorized access or attacks. 2️⃣ Threat Hunting: Identifies suspicious patterns proactively. 3️⃣ Incident Response: Provides critical data for quick recovery post-breach. 4️⃣ Compliance: Ensures adherence to regulatory requirements. 5️⃣ Security Optimization: Highlights vulnerabilities for improved defenses. NSM is a value-add to an organization's security posture, ensuring a secure, compliant, and resilient network. #Cybersecurity #NetworkSecurity #DigitalTransformation

Test automation frameworks are the backbone of efficient, scalable, and reliable testing operations. Key components of these frameworks like test case design, scripting languages, and CI/CD integration enable seamless testing. Find out more: https://lnkd.in/gXX6zESn Lets also understand how these elements provide value to businesses: 🔑 Adaptability is Key Modern frameworks support diverse test environments—think mobile, IoT, and cloud-native apps. Businesses can’t afford to be locked into rigid tools. 🌟 Efficiency Meets Collaboration The integration of low-code platforms and CI/CD pipelines in frameworks empowers cross-functional teams. The result is faster releases and better software quality. 📊 Actionable Insights from Data Frameworks now offer detailed analytics, helping teams identify bottlenecks and optimize performance. This helps QA teams to make data-driven decision. 🔗 Future-Proofing with AI We’re also seeing AI integration into these frameworks, which are being used for predictive analytics, self-healing tests, and better resource allocation. Leveraging the power of these modern automation frameworks is the first step towards scaling QA efforts in any organization. #TestAutomation #SoftwareTesting #QualityAssurance