Manoj Barua

The global #AI market is booming and #India is emerging as a key player with projections for the sector reaching $17 billion by 2027. In this competitive landscape, organizations need a decisive edge. Superior #AI performance depends on high-quality, #realtime data. This is where #datastreaming transforms the game. I recently explored this critical intersection of data streaming and AI in an ETCIO article, delving into how data streaming bridges the gap between raw information and AI, enabling businesses to build robust data infrastructures that fuel innovation and growth. By harnessing the power of data streaming, organizations can feed their AI systems with a continuous flow of clean, contextual data. This unlocks AI's true potential, enabling faster decision-making, uncovering hidden insights, and driving unprecedented business value. https://lnkd.in/g38az4yH #Confluent #Flink #kafka #datastreamingplatform Kamal Brar Andrew Foo Erica Ruliffson Schultz Stephanie Buscemi

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What an inspiring close to #RedHatSummitConnect 2024 in Mumbai! This year’s theme, “What’s Next,” set the stage for discussions on how AI, hybrid cloud, and open innovation are shaping the future of enterprise technology. In today’s IT landscape, no conversation is complete without mentioning AI — we are truly in a new era. The last two days were power-packed, addressing what customers are seeking next in their digital transformation journey. Day 1 kicked off with the Partner Exchange, where we discussed how coordinated collaboration among technology vendors and solution providers is essential in the era of emerging trends like AI and virtualization. At Red Hat, we focus on understanding how these dynamics impact our partners and customers, aiming to implement an ecosystem-driven approach to IT modernization. On Day 2, we explored the future of enterprise technology, enabling open enterprise AI and modernizing infrastructure to help organisations meet growing demands while balancing IT infrastructure costs. We celebrated the achievements of our key customers, including NSE India, Bank of India, Multi Commodity Exchange of India Ltd., and Tata Motors, who were honored with Red Hat APAC Innovation Awards for their exceptional digital transformation efforts. Seeing these organisations lead with automation, and cloud technologies was truly inspiring. Thank you to Chris Wright, Stefanie Chiras, Leigh Cantrell Day, and Ellie Johnson for their presence and invaluable contributions. A very special thanks to our sponsors for making this event a reality! Thank you to everyone who joined us. Together, we’re not just unlocking what’s next — we’re shaping the future of open-source innovation and AI transformation! Hewlett Packard Enterprise | Microsoft | NxtGen Datacenter & Cloud Technologies | Amazon Web Services (AWS) | Dynatrace | Hitachi Systems India Pvt Ltd | Veeam Software | VDA Infosolutions Pvt.Ltd. | Zextras | CitiusCloud Services LLP | Integra Micro Systems Pvt Ltd | Lauren | #AI #HybridCloud #DigitalTransformation #OpenInnovation #OpenSource #Leadership

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☁ Cloud computing in India has become a key driver of innovation, flexibility, and business growth. But as Harish Kumar G S writes in CXOToday, cloud security incidents have increased 154% this year, making it more crucial than ever to safeguard these environments. Read his article for tips on how to prevent cyber-attacks and build cyber resilience: https://lnkd.in/e-vyitZw #cybersecurity #cloudsecurity

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Please check out the following blog - Embracing the Future: The Convergence of Cloud and Edge Computing, written from one of our SVP's about his thoughts and how Tech M are leading the way in this digital transformation! https://lnkd.in/eUMq3srP

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In an interview with ETCIO, Ravi Rajendran, Area Vice President of ASEAN, Elastic, shares about the challenges that enterprises face when dealing with large volumes of structured and unstructured data, and how Elastic combines search, machine learning and artificial intelligence to revolutionise the way enterprises handle and analyse data. Read more here: https://gag.gl/TqMGiQ

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Recently, I had the pleasure of speaking on the Cloud Currents podcast about the rapidly evolving cloud landscape and how enterprises can navigate it effectively. Here are some key highlights from the discussion: 👉 𝐂𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲 𝐨𝐟 𝐂𝐥𝐨𝐮𝐝 𝐀𝐝𝐨𝐩𝐭𝐢𝐨𝐧: As organizations adopt hybrid models with on-prem, edge, and multi-cloud solutions, the need for in-depth expertise has grown. Decision-making in cloud requires thorough, strategic approaches to ensure efficiency and maximize value. 👉 𝐀𝐈 𝐚𝐧𝐝 𝐂𝐥𝐨𝐮𝐝 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: AI is transforming the cloud landscape in two significant ways: Cloud for AI: Leveraging cloud infrastructure to power AI applications like generative AI and large language models. AI for Cloud: Using AI and automation to optimize cloud operations, from cost efficiency to enhancing resilience and innovation. 👉 𝐒𝐡𝐢𝐟𝐭𝐢𝐧𝐠 𝐓𝐫𝐞𝐧𝐝𝐬 𝐢𝐧 𝐂𝐥𝐨𝐮𝐝 𝐀𝐝𝐨𝐩𝐭𝐢𝐨𝐧: Enterprises are transitioning from rapid adoption to optimizing existing investments, focusing on FinOps and value realization. The rise of generative AI has reshaped priorities, but trends like industry-specific clouds, sustainability, and sovereign cloud initiatives are set to regain focus. 👉 𝐀𝐝𝐯𝐢𝐜𝐞 𝐟𝐨𝐫 𝐂𝐈𝐎𝐬: Enterprises need long-term, strategic cloud roadmaps aligned with business goals. Prioritizing value definition, internal alignment, agile implementation, and regular measurement can ensure cloud investments drive meaningful impact. It was a great conversation covering critical insights and future trends. If you’re navigating cloud strategies or integrating AI into your operations, these are exciting times! Feel free to reach out to discuss how you can best embrace these opportunities. 🚀 Everest Group Zachariah K Chirayil Titus M Deepti Sekhri Kaustubh . Abhishek Singh Yugal Joshi #CloudComputing #AI #CloudStrategies #DigitalTransformation #Leadership #Innovation https://lnkd.in/gcp8cdse

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In the era of digital transformation, organizations need cutting-edge tools to manage and derive value from their data. Microsoft Fabric Copilot, a powerful AI-driven assistant, enhances data management and analytics by leveraging the capabilities of Microsoft Fabric. Noventiq India's specialized consulting services ensure that your business can maximize the benefits of this innovative tool. What is Microsoft Fabric Copilot? Microsoft Fabric Copilot is an intelligent assistant that integrates with Microsoft Fabric to automate data tasks, streamline workflows, and provide actionable insights. It utilizes advanced AI and machine learning to help users: 1. Automate Data Processes: Reduce manual effort in data preparation and integration. 2. Enhance Analytics: Generate deeper insights with minimal effort. 3. Improve Decision-Making: Deliver predictive analytics and recommendations. 4. Boost Productivity: Enable data teams to focus on high-value tasks. Noventiq India’s Expertise Noventiq India is a leader in deploying AI-driven solutions, and our expertise in Microsoft Fabric Copilot helps organizations leverage this technology to its fullest potential. Our consulting services are designed to support you at every stage of your AI journey. Our Services 1. Assessment and Strategy Development: - Evaluate your current data environment and business needs. - Develop a strategic plan for integrating Microsoft Fabric Copilot. - Define KPIs to measure the impact of the solution. 2. Implementation and Integration: - Seamlessly integrate Copilot with your existing Microsoft Fabric infrastructure. - Customize Copilot to align with your specific data workflows. - Ensure smooth deployment with minimal disruption. 3. AI and Machine Learning Models: - Develop and deploy custom AI models to enhance Copilot’s capabilities. - Train models on your data to ensure relevance and accuracy. - Continuously refine models to improve performance. 4. Automation and Optimization: - Automate repetitive data tasks to save time and reduce errors. - Optimize data workflows for efficiency and scalability. - Implement advanced analytics to uncover actionable insights. 5. Training and Support: - Provide comprehensive training for your teams to effectively use Copilot. - Offer ongoing support and maintenance to ensure optimal performance. - Facilitate knowledge transfer to empower your internal teams. Get Started with Noventiq India Unlock the full potential of your data with Microsoft Fabric Copilot and Noventiq’s expert consulting services. Whether you are beginning your AI journey or looking to optimize existing processes, our tailored solutions are designed to help you succeed. Contact us today to learn more about how we can help you transform your data operations with Microsoft Fabric Copilot and Noventiq India be your trusted partner.

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As cyberattacks become more pervasive and sophisticated, it’s critical to have a robust, adaptable approach to true resilience. Looking forward to Commvault Partner Bootcamp in Bangalore to explore cutting-edge strategies in data protection and security. #Commvault #CommvaultCloud #cyberresilience #datasecurity

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Get Ready to Supercharge <anything> with Search AI. #ElasticON is back in Bengaluru. Secure your seats now and get access to Keynote Sessions, Tech Sessions, Workshops, Engage with experts, Community Sessions, Solution Expo and much more. https://gag.gl/9sl6gp #GenAI #Vectorsearch #RAG #LLM #AI #SIEM #Elastic

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Ensuring an efficient journey to #AtlassianCloud for Edgeware AB. When #Atlassian announced it would end support for Server apps on February 15th, 2024, Edgeware was among many companies looking for another solution. Migrating a large organisation that supports its customers 24/7 and relies on several third-party apps to help with everything from test management and feature automation in #Jira to password management in #Confluence was a huge feat. Find out below how Eficode made it happen: https://efcd.co/4cJznIn

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Revolutionizing Enterprise AI: Insights from RHEL AI Announcement Linux is evolving rapidly, becoming crucial for modern IT. Red Hat's shift from CentOS to CentOS Stream has sparked industry discussion, leading to alternatives like OpenELA by SUSE and Oracle. The rise of AI is driving demand for robust Linux platforms. Red Hat's RHEL AI integrates IBM's open-source AI tools, enhancing enterprise AI deployment. RHEL 9.4 improves hybrid cloud management and security. These advancements position Red Hat as a key player in an AI-driven future. Check out the full article 👇 https://lnkd.in/eq5yrWcJ

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Thanks #ETCIO for having Naren Kachroo and myself at this ETCIOCDO event. It was real fun presenting those wonderful demos on Google's Gen AI capabilities and we look forward to all the attendees using the goodness of Gemini in their Gen AI journeys . You can listen to this session here : https://lnkd.in/dgMz8Rcf As Enterprises move on from the early "science experiments" on to rapidly deploying production use cases of Gen AI, an effective AI strategy is key to early business outcomes. They can do this in 3 steps : 1) Establishing a clear vision : Integrate AI initiatives with your overall business strategy, aligning them with strategic priorities and identifying specific areas where AI can drive value. Aligning AI Themes /Domains ( bottoms up use cases) to Strategic Business priorities ( top down) drives better outcomes. 2) Prioritization of the right use cases : Evaluate potential AI applications by choosing High Value business cases which also score high on Feasibility and Actionability. 3) Measure and Track Progress : Define clear metrics to assess the performance of your AI initiatives throughout their lifecycle, for example Model Quality, adoption metrics, Operational metrics, System metrics and Business impact. A very important step in getting to successful outcomes while executing a Gen AI Strategy is the choosing of the Platform : Most importantly CIO's/CTO's/CDO's will need to evaluate the overall strength of the End to end AI platform as against just comparing models. a) Check on the Provider's in-house innovation and development. Google’s generative AI builds on over 20 years of internal R&D across search, databases, hardware, and AI. b) A Developer Friendly Platform: With a deeply integrated, vertically differentiated portfolio with 150+ curated State Of the Art Models to choose from including Gemini .#GCP is the only cloud provider to offer 1st party, 3rd party and open source models, which are directly integrated into a developer friendly platform with fully managed infrastructure.  And, our platform ensures you can maintain choice of model, tooling and infrastructure, so you can avoid vendor lock in in the future. All of these mean that Vertex AI is  the easiest way to build, deploy and manage AI agents. c) Enterprise Ready platform with Leading AI infrastructure : In addition to having access to leading (and a Managed) AI infrastructure platform, Enterprises need security, governance, privacy, and Responsible AI in practice. Enterprise readiness .Google is a leader at bringing enterprise-grade generative AI to organizations. 5) Deploying Agents: Lastly, we observe a significant trend in organizations building and using Gen AI agents and we can categorize them in these buckets - Customer Agents, Employee Agents, Creative Agents, Code Agents, Data Agents and Security Agents. We will dive deeper into each of the above in subsequent posts. #ETCIO #GCP #Gen AI

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In an interview with ETCIO, Ravi Rajendran, Area Vice President of ASEAN, Elastic, shares about the challenges that enterprises face when dealing with large volumes of structured and unstructured data, and how Elastic combines search, machine learning and artificial intelligence to revolutionise the way enterprises handle and analyse data. Read more here: https://gag.gl/TqMGiQ

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Attending HPE Discover More AI Mumbai 2024 and the session “Unlocking your AI Ambition with HPE - HPE Private Cloud AI” by Ranganath Sadasiva was an absolute highlight! The discussion on leveraging AI through private cloud solutions to drive business success was thought-provoking. It's inspiring to see how HPE is leading the way in helping organizations turn their AI ambitions into reality. #HPEDiscoverAI #HPEDiscoverAIIndia #HPEDiscoverIndia24 #HPEDiscoverAIMumbai24 #HPEDiscoverMore Hewlett Packard Enterprise

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☁️ In this article on TechTarget, George Lawton shares the top trends shaping the future of #cloud computing. 👉 According to Vishal Ghariwala, Senior Director and CTO, Asia Pacific at SUSE, the future IT computing model will gradually progress from on-premises to #cloud and #edge computing. Vishal also acknowledged that this will lead to businesses needing to develop skills to unify on-premises, cloud and edge environments that accommodate cloud-native development approaches, maximize #AI applications and support a solid #security foundation. 🔗 Read the full article here: https://okt.to/ZskUV6

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☁️ In this article on TechTarget, George Lawton shares the top trends shaping the future of #cloud computing. 👉 According to Vishal Ghariwala, Senior Director and CTO, Asia Pacific at SUSE, the future IT computing model will gradually progress from on-premises to #cloud and #edge computing. Vishal also acknowledged that this will lead to businesses needing to develop skills to unify on-premises, cloud and edge environments that accommodate cloud-native development approaches, maximize #AI applications and support a solid #security foundation. 🔗 Read the full article here: https://okt.to/oNpxbO

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Deepak spoke on how in the ever evolving technology landscape, the role of VARs and partners is shifting from traditional product reseller to strategic allies who are critical for driving innovation, enhancing service delivery and supporting comprehensive solutions. “We have been observant of the fact of how AI is going to reset the future and equip people with digital skills to harness its potential and create future ready workforce.

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