ITTech Pulse Weekly Brief: The Hottest IT Insights & Trends from Sept 22 -26th
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Welcome to this week’s ITTech Pulse Roundup! From 15 -19 Sept, we’ve captured the most exciting developments in AI that are shaping the tech landscape. Dive into stories on cutting-edge Artificial Intelligence, Natural Language Processing purpose-built AI innovations, and the evolving role of AI in cloud computing. Explore how large language models and AI are transforming product development, and gain insights from industry leaders on trends driving the future of technology. Whether you’re looking to stay informed or get inspired, this week’s roundup brings you closer to the ideas and breakthroughs defining the data management, frontier.
Tech Trends Weekly: What’s Happening in IT
Infobip & Oracle Partner to Enhance Customer Conversations via WhatsApp and SMS
Oracle and Infobip, have integrated WhatsApp and SMS into Oracle Fusion Cloud Service, available on Oracle Cloud Marketplace. This upgrade lets businesses engage customers across popular messaging channels with AI-driven automation and chatbots for faster, accurate responses. It streamlines omnichannel communication, improves satisfaction, and eases agent workload by handling routine queries while allowing seamless human escalation for complex issues. The collaboration strengthens Oracle and Infobip’s partnership, helping businesses build stronger customer connections, drive engagement, and boost operational efficiency in the digital age.
Abu Dhabi TII, NVIDIA Launch Middle East’s First AI and Robotics NVAITC Lab
The Technology and Innovation Institute (TII) has partnered with NVIDIA,to launch the Middle East’s first joint AI and robotics lab in Abu Dhabi. The TII-NVAITC Joint AI and Robotics Research Institute will focus on developing advanced AI models, robotics platforms, humanoid technologies, and embodied AI systems. Combining TII’s robotics expertise with NVIDIA’s accelerated computing, the lab will drive innovation in intelligent systems, support real-world applications, and strengthen the UAE’s leadership in global AI and robotics while promoting open innovation and knowledge exchange.
Concentric AI Earns TX-RAMP Certification, Validating Its AI Solution’s Data Security Governance
Concentric AI has earned TX-RAMP certification, proving its compliance with Texas’ rigorous cybersecurity standards for state agencies and public education institutions. The certification validates its Semantic Intelligence™ platform for secure, AI-driven data governance, covering data discovery, protection, and continuous monitoring across cloud, on-premises, and GenAI applications. By meeting NIST SP 800-53–based requirements, Concentric AI helps agencies safeguard sensitive data like PII and IP, ensure compliance with regulations, and strengthen defenses against insider threats, vendor risks, and misclassified data.
Dell Technologies Data Center Breakthroughs Drive Smarter, Faster, Secure Private Clouds
Dell Technologies has launched Dell Private Cloud and major upgrades across PowerStore, PowerFlex, PowerMax, and PowerProtect to help organizations manage traditional and modern workloads with speed, security, and efficiency. Key highlights include:
- Dell Private Cloud: Simple, automated deployment with AI-driven management.
- PowerStore: New QLC model, AI-powered automation, Nutanix Cloud Platform integration.
- PowerFlex Ultra: Up to 80% storage efficiency, 10x9s availability, reduced costs.
- PowerMax: 25% performance boost, enhanced automation, advanced security.
- PowerProtect: Stronger cyber resilience with centralized management and scalable data protection.
Cloudera Helps Customers Become AI Native with Additions to Enterprise AI Ecosystem
Cloudera, expanded its Enterprise AI Ecosystem at EVOLVE25 NYC by partnering with ServiceNow, Fundamental, Galileo.ai, and Pulse. These collaborations strengthen AI-powered workflow automation, predictive modeling for structured data, document intelligence, and AI observability. With its AI-powered lakehouse, Cloudera helps enterprises move beyond pilots to embed AI across operations like compliance, fraud detection, supply chain, and IT. The goal is to make organizations AI Native with trusted, transparent, and scalable systems, supported by an open partner network including AWS, NVIDIA, and Google Cloud.
Hitachi Announces NVIDIA AI Factory to Accelerate Physical AI Innovation
Hitachi, Ltd has launched a global AI Factory built on NVIDIA’s AI Factory reference architecture to accelerate physical AI development across its core sectors. Powered by Hitachi iQ with NVIDIA GPUs and Spectrum-X networking, the AI Factory enables advanced models that interpret real-world data, make decisions, and take action. Distributed across the U.S., EMEA, and Japan, it provides unified infrastructure for global teams. This initiative supports Hitachi’s Lumada 3.0 vision, driving digital and green transformation while boosting efficiency, productivity, and safety worldwide.
Weekly Roundup: Expert Views on AI Trends
ITTech Pulse Exclusive Interview with Dilip Kumar Global Head of Technology Solutions at NTT DATA
ITTech Pulse’s Weekly Voice: From the Expert
Dilip Kumar, Global Head of Technology Solutions at NTT DATA, shared insights on AI-ready enterprise solutions and leadership. His early passion for connecting people, data, and systems shaped his career from operations to digital transformation. The NTT DATA–Cisco partnership addresses legacy infrastructure challenges, delivering AI-ready networks, advanced security, and outcome-based modernization for enterprises. Kumar emphasized leadership, systems thinking, AI fluency, and change management as critical skills. He stressed that AI readiness is less about technology and more about leadership, culture, and building scalable, impactful infrastructure.
Autonomous Agents 2.0: Redefining Enterprise IT Operations
Autonomous agents 2.0 are transforming enterprise IT operations by combining AI, symbolic reasoning, and real-time adaptability. They monitor, diagnose, and resolve incidents autonomously, optimize cloud workloads, and improve infrastructure performance while freeing IT teams for strategic work. Key capabilities include self-evolving monitoring, context-aware decision-making, compliance automation, and enhanced security. Built on modular, event-driven architectures, these agents support scalability and governance. Future trends include multi-agent collaboration, cross-domain intelligence, and integration with generative AI, making them central to resilient, efficient, and innovation-driven IT ecosystems.
Don’t Miss These Must-Read Articles of the Week
Debugging LLMs – Strategies, Tools, and Best Practices for Enterprise AI
Large Language Models (LLMs) transform enterprise IT but are unpredictable, with outputs sometimes inaccurate or biased. Debugging them requires monitoring data quality, model drift, prompts, and infrastructure across edge, cloud, and hybrid environments. Enterprises now use tools, evaluation frameworks, and human-in-the-loop systems to trace errors. Advanced approaches include autonomous debugging agents, self-correcting mechanisms, and predictive debugging, ensuring reliability, compliance, and scalability. Systematic debugging makes LLMs trustworthy, reduces risks, and enables AI to drive IT operations, governance, and decision-making effectively.
AI Quote of the Week
AI readiness is not just a technical challenge—it’s a leadership challenge. Organizations get stuck in pilot mode, testing AI in silos, instead of building scalable, secure infrastructure to drive real transformation. AI isn’t just a tool; it’s a catalyst for business reinvention.”–with Dilip Kumar Global Head of Technology Solutions at NTT DATA.
