Deepak Aneja

At Diggibyte Technologies Private Limited, we don’t just integrate systems; we accelerate your entire data journeywith a strategic combination of industry expertise, fast deployment, and AI-powered capabilities. By unlocking the full potential of platforms like Databricks, we enable organizations to drive innovation, enhance operational efficiency, and achieve faster time-to-value. Our approach ensures that your data and analytics strategy aligns seamlessly with your business goals, empowering you to make data-driven decisions and stay ahead of the competition. Ready to take your data strategy to the next level? Reach out today, and let Diggibyte transform your data journey into a competitive advantage! 🚀 #DataTransformation #DataAnalytics #AI #AzureDatabricks #DataOps #Innovation

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I am passionate about powering business outcomes and experiences using well engineering data, built on a modern architecture leveraging AI to further enhance value. Thanks Dayle Hall and SnapLogic for the opportunity to discuss my experience, learnings from the great purpose driven organizations like Fidelity, Thrivent. #DatapowersAI #Datadriven.

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What a great event and even greater discussions & sessions... Thanks 3AI for sharing this reel. It illuminates the essence of #innovation zone perfectly. I invite you all to check out my post for more details. https://lnkd.in/gXdCjBvb #youinaction #artificialintelligence #AI #ML #genai #technology #womenintech #leadership #event #financialcrime #antimoneylaundering 3AI Sameer Dhanrajani Nandakumar Ramaiah Kapil Gandhi

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Happy to share that I will speak at CDO Vision, Mumbai, on 30th Aug. I will talk about growth stories driven by data, ML & AI

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Joined a fascinating roundtable discussion powered by Google Cloud and YourStory Media on the future of AI-powered customer engagement representing WebEngage AI. We explored how an AI Lakehouse can revolutionize data management and analytics, enabling businesses to unlock the full potential of their data. SaaS platforms like WebEngage will power AI adoption at scale. WebEngage has launched features like Predictive segments, Best channel, Send time optimization, Gen-AI content generation, Significant factors, Journey optimizer, etc. Curious to read more: https://lnkd.in/gMbMhibi WebEngage is helping 800+ and 150+ BFSI clients worldwide to advance with AI features built for scale. Let's talk about how AI can change your business. If you are a SAAS platform, Do comment your best AI feature. If you are a client, Do comment if a use cases is being implemented in your org and its impact. If you want to build an AI feature on Google Cloud, do reach out for collaboration. Thanks, Harshad Satam Kunal Dixit Aejaz Saiyed Neil D'souza Tina Sarmah Jaydeep Deshpande (JD) Anantharaman Balakrishnan for Inviting me . It was truly an honor to be part of such an esteemed panel with industry leaders such as Ashish Sahni -Chief Technology Officer IDfy , Deekshith Marla-Founder Arya.ai , Abhijit Naik -AVP-Engineering Seclore , Satish Kashyap -CEO & Co-Founder Drona Pay and Dr Divakar Kamath, Professor of Practice, School of Business Management, SVKM's Narsee Monjee Institute of Management Studies (NMIMS), who shared their invaluable insights and truly thought-provoking view points. #WebEngage #AI #Data #CustomerExperience #DigitalMarketing #MarketingAutomation #BFSI #GenAI #AILakehouse #SAAS

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𝗜 𝗸𝗻𝗼𝘄 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝘄𝗵𝗼 𝗿𝗲𝗮𝗹𝗹𝘆 𝗺𝗶𝘀𝘀𝗲𝘀 𝗺𝗲 𝗮𝗻𝗱 𝘁𝗵𝗶𝗻𝗸𝘀 𝗼𝗳 𝗺𝗲 𝗮𝘁 𝗹𝗲𝗮𝘀𝘁 𝗼𝗻𝗰𝗲 𝗲𝘃𝗲𝗿𝘆 𝘁𝘄𝗼 𝗵𝗼𝘂𝗿𝘀... ❤️❤️❤️ Spam Calls in India are relentless, and companies like Bajaj Finserv are at the forefront. The irony? They even have a guide titled “𝘏𝘰𝘸 𝘵𝘰 𝘚𝘵𝘰𝘱 𝘗𝘳𝘰𝘮𝘰𝘵𝘪𝘰𝘯𝘢𝘭 𝘊𝘢𝘭𝘭𝘴 𝘍𝘳𝘰𝘮 𝘉𝘢𝘫𝘢𝘫 𝘍𝘪𝘯𝘢𝘯𝘤𝘦.” If they’re teaching us to block their own calls, 𝘄𝗵𝗼’𝘀 𝗿𝗲𝗮𝗹𝗹𝘆 𝘄𝗶𝗻𝗻𝗶𝗻𝗴 𝗵𝗲𝗿𝗲?  (Source - https://lnkd.in/geYirsz8) Despite all the regulations, 95% of us still get these '5-seconders'—the calls we cut off almost immediately. (source: https://lnkd.in/gZMUiRrN) Are they tracking the sheer number of calls made, or how many of us 𝗵𝗮𝗻𝗴 𝘂𝗽 within the first 5 seconds? Really curious—what are the 𝗞𝗣𝗜𝘀 here? Is this strategy actually working? Anyone else as tired of these calls as I am? Thoughts? #CustomerExperience #CustomerDissatisfaction #SpamCalls #Telecom #BajajFinserv #UnwantedCalls #SPAM

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While perhaps a bit of a read, I think the points brought out here show the significant challenge facing Digital Leaders because of the broad dichotomy between Operations and Innovation. I do believe that we need to straddle both these as best we can, though! Thanks, Aaratrika Talukdar for the challenging questions that brought out this point of view!

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Exploring the AI Jungle: For our June episode of the Data Book Club, we debated insight in AI strategy and breakthroughs from AI/ML research from six bestsellers on the topic of #AI. 1. Architects of Intelligence - The truth about AI by the people building it 2. The Book of Why - The new science of Cause and Effect 3. The Coming Wave - AI, Power & the 21st Century 4. Generative Deep learning - Teaching machines to Write, Paint, Compose & Play 5. Genius Makers - The Mavericks who brought AI to the world 6. The Master Algorithm - The quest for the Ultimate Learning Machine We discussed AI strategic themes that included: ▪️AI DNA – How do we build prior knowledge into AI? Avoid training from scratch. ▪️AI Learning Strategies – how do we generalise and remember better? ▪️Emotional AI – approaches for managing 'what' and 'how' we goal seek with machine intelligence. ▪️ Causal AI – how do we move from correlation to understand cause and effect relationships in the world around us? ▪️Imaginative AI – how do we create new possibilities, form new ideas and concepts through to testing them? ▪️Unified AI – how do we combine a unified view across the contemporary machine-learning paradigms? AI/ML research is progressing on many fronts for these questions - its a big jungle out there. 🌴 Examples of ideas we discussed: ▫️Learning by Algorithm competition with the evolution of GAN architecture. ▫️Model-free vs. Model-based reinforcement learning using simulation ▫️Causal AI for understanding cause and effect for true explain-ability and counter factual reasoning. ▫️xLM The many flavours of Language Models - from large to small to visual language models. ▫️Human aware AI - from Artificial Social Intelligence, Agentic AI to Large Action models. ▫️and so much more.   Takeaways ● Prepare for an uncertain and fast moving roller-coaster so 'Built for Change' principal will be important for agile, adaptable, open & flexible architecture. 🤸‍♀️ ● Invest in your AI/ML skills. We are still in the early stages of AI adoption; lot of options out there and still lots to be done. 💪 ● #GIGO remain as true today as ever. Without Good data there is no Good AI. ℹ️ ● Learning could become our most important asset & resource (so how are you managing & securing)? 🎓 A fascinating set of books that recommend as AI will be a central force in our future. So much insight we had to break up over two episodes. What AI strategic themes and research ideas are you most interested in? Our #westpac data book club, is our member-driven community for the curious, data inspired and passionate continuous learners. 📚 #databookclub #ArchitectsofIntelligence #GeniusMakers #BookofWhy #ComingWave #MasterAlgorithm #GenerativeDeepLearning #ArtificialIntelligence #DataScience #AdvancedAnalytics #MachineLearning #DeepLearning

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We recently built MahindraVision.AI, a computer vision platform/product. Think of this tool as a no-code AWS Rekognition. It offers similar functionalities to AWS Rekognition and GCP Vision but focused on Mahindra group use cases. It aims to give impetus to computer vision (CV) assisted solutioning for Mahindra group companies and down the line research. It has a three-pronged strategy: 1) Reduce GTM time – typically, a CV project takes 4-6 months to complete end-to-end, which includes development, validation, and deployment. We aim to reduce it to 1 month. 2) Easy to build - unlike AWS/GCP, it does not require a steep learning curve. This tool/platform eliminates repetitive processes and packs all steps into one tool. Any person with a basic understanding of CV can build a solution quickly. 3) Easy to deploy - reducing deployment time and the need for a skilled person. Think one click deployment. We are building and exploring solutions across group companies. Thanks to the Mahindra group and the Mahindra Digital engine team (Mohit, Vineet, Rucha, and Neeraj) for featuring our work! #ComputerVision #AI #Product #MahindraDigitalEngine #Mahindra

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One of the most significant challenges India faces is overcoming the computational hurdles in the realm of advanced technologies. To put things into perspective, storing a single model parameter (32-bit float) requires 4 bytes of memory. For a model with 1 billion parameters, this translates to 4 GB of memory. When it comes to training a model—such as a 1 billion parameter Large Language Model (LLM)—the memory requirements escalate dramatically to 80 GB, assuming 32-bit full precision. Here’s the breakdown: model weights require 4 bytes, the Adam optimizer needs 8 bytes, gradients take up 4 bytes, and activation plus temporary memory demands an additional 8 bytes. This totals 20 bytes per parameter, far exceeding the capabilities of consumer-grade hardware. To handle such computational demands, one would need an Nvidia A100 80GB Tensor Core, which costs approximately Rs. 1.4 million, or $0.87 per hour on an A2 virtual machine from a leading cloud service provider. Moreover, the challenge is even more pronounced when dealing with Indic languages. Unlike English, where three characters typically make up a token, Indian languages may have a 1:1 ratio of characters to tokens, further increasing the computational load. The dual challenges of computational power and the high cost of GPUs are substantial for India. While some relief can be achieved through techniques like quantization—reducing integer precision from 32-bit full precision to Bfloat16 to lower memory usage—or through distributed data parallel (DDP) or Fully Sharded Data Parallel (FSDP) frameworks. While classical processors (CPUs/GPUs) are well-suited for general-purpose computing and parallelizable tasks, quantum processors (QPUs) are tailored for highly specialized tasks that leverage quantum mechanics. These two types of processors serve distinct purposes, and as quantum computing technology evolves, it may complement or even surpass classical computing in specific areas. However, classical processors will continue to play an essential role in everyday computing tasks. Quantum technology's potential to break many of the defenses currently securing the internet and other critical applications poses a serious threat to cybersecurity. Most of today’s secure transactions, communications, and online account passwords are protected through encryption algorithms like RSA or SSL/TLS, which rely on the complexity of factoring large numbers into primes—a problem that quantum computers excel at solving. A task that would take a classical computer 100 years could be accomplished in mere seconds with a quantum computer. This not only jeopardizes personal account passwords but also exposes private communications, company data, and even military secrets. As India advances towards becoming a digitally rich nation, it is essential to invest wisely. The National Quantum Mission (NQM) and the initiatives it has set forth are steps in the right direction to address these challenges.

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🚀 Last Tuesday marked the introduction of 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭'𝐬 𝐠𝐫𝐨𝐮𝐧𝐝𝐛𝐫𝐞𝐚𝐤𝐢𝐧𝐠 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐕𝐀𝐒𝐀-𝟏. Let's dive deeper into this cutting-edge technology: 𝐕𝐀𝐒𝐀 𝐢𝐬 𝐚 𝐫𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐚𝐫𝐲 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐝 𝐛𝐲 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐟𝐨𝐫 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐧𝐠 𝐥𝐢𝐟𝐞𝐥𝐢𝐤𝐞 𝐭𝐚𝐥𝐤𝐢𝐧𝐠 𝐟𝐚𝐜𝐞𝐬 𝐰𝐢𝐭𝐡 𝐚𝐩𝐩𝐞𝐚𝐥𝐢𝐧𝐠 𝐯𝐢𝐬𝐮𝐚𝐥 𝐚𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐞 𝐬𝐤𝐢𝐥𝐥𝐬 (𝐕𝐀𝐒) 𝐠𝐢𝐯𝐞𝐧 𝐚 𝐬𝐢𝐧𝐠𝐥𝐞 𝐬𝐭𝐚𝐭𝐢𝐜 𝐢𝐦𝐚𝐠𝐞 𝐚𝐧𝐝 𝐚 𝐬𝐩𝐞𝐞𝐜𝐡 𝐚𝐮𝐝𝐢𝐨 𝐜𝐥𝐢𝐩.   - Synchronised lip movements with audio, 𝐞𝐧𝐡𝐚𝐧𝐜𝐢𝐧𝐠 𝐚𝐮𝐭𝐡𝐞𝐧𝐭𝐢𝐜𝐢𝐭𝐲   - Wide range of facial nuances and natural head movement, 𝐞𝐧𝐫𝐢𝐜𝐡𝐢𝐧𝐠 𝐥𝐢𝐟𝐞𝐥𝐢𝐤𝐞𝐧𝐞𝐬𝐬   - Superior performance across various dimensions, 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐢𝐧𝐠 𝐡𝐢𝐠𝐡-𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝐯𝐢𝐝𝐞𝐨𝐬 This technology holds immense potential across various domains:  - 𝐕𝐢𝐫𝐭𝐮𝐚𝐥 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭𝐬: Enhance virtual assistance, improving user engagement and interaction  - 𝐆𝐚𝐦𝐢𝐧𝐠: Create realistic facial animations for virtual characters enhancing the gaming experience  - 𝐄𝐧𝐭𝐞𝐫𝐭𝐚𝐢𝐧𝐦𝐞𝐧𝐭: Filmmakers can use it for synchronised lip movement and facial dynamics  - 𝐄𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧: Create interactive tutorial with lifelike facial expressions and speech capabilities While VASA presents innovative opportunities, there are scenarios where its application may be perceived as unsettling or inappropriate. Few use cases:   - 𝐃𝐞𝐜𝐞𝐩𝐭𝐢𝐯𝐞 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Creating virtual characters for deceptive purposes or spreading misinformation can erode trust and lead to ethical concerns  - 𝐃𝐞𝐞𝐩𝐟𝐚𝐤𝐞𝐬: Creating videos for malicious purposes, manipulating public figures' images and voices without their consent Overall, it's essential to critically assess the appropriateness and potential impact of using VASA in various contexts, ensuring its application aligns with ethical principles, respects individuals' rights and privacy, and avoids causing harm or discomfort. For this, 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐡𝐚𝐬 𝐫𝐞𝐜𝐞𝐧𝐭𝐥𝐲 𝐬𝐡𝐨𝐰𝐜𝐚𝐬𝐞𝐝 𝐕𝐀𝐒𝐀'𝐬 𝐜𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 𝐛𝐮𝐭 𝐡𝐚𝐬 𝐧𝐨𝐭 𝐲𝐞𝐭 𝐦𝐚𝐝𝐞 𝐢𝐭 𝐩𝐮𝐛𝐥𝐢𝐜𝐥𝐲 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐮𝐧𝐭𝐢𝐥 𝐭𝐡𝐞𝐲 𝐚𝐫𝐞 𝐜𝐨𝐧𝐟𝐢𝐝𝐞𝐧𝐭 𝐢𝐧 𝐢𝐭𝐬 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐥𝐞 𝐮𝐬𝐞. Let me know what you think of this technology and where it can be used/misused according to you. 𝐏𝐚𝐩𝐞𝐫: https://lnkd.in/d3PjJVjC #microsoft #ai #visual #technology #vasa #innovation #ethics #deepfakes #visualbots #dalle #advancement

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Amid the excitement around Generative AI and applications like ChatGPT, Google Bard, and Bing Chat, CIOs are evaluating whether this technology is just hype or a true game-changer. Implementing Generative AI involves balancing diverse perspectives and understanding its long-term impact on customers, operations, and workforces. CIOs must weigh business value, risk, and ethical concerns. Rackspace Technology polled over 80 CIOs from various industries at a recent forum. Key findings include: ✳️ 82% believe Generative AI will transform their industry and workflows. ✳️ 32% plan to implement a tool within the next 6 months. ✳️ Top barriers: regulatory/ethical concerns (54%) and data quality/availability (38%). This opinion piece by CDO Magazine offers six practical applications to help guide CIOs and CDOs in their strategic approach to effectively navigate the scope of generative AI and prepare for its future: 1. Collaborate: Create a steering committee with diverse representatives for AI integration. 2. Engage Experts: Partner with knowledgeable AI experts to stay updated on regulatory and ethical landscapes. 3. Set Policies: Develop internal guidelines for responsible AI use. 4. Evaluate Data: Assess data governance and operations to ensure high-quality data. 5. Host Workshops: Organize workshops to foster innovation and streamline AI development. 6. Encourage Experimentation: Inspire your team to explore AI possibilities within policy guardrails. Generative AI offers immense potential. CIOs must proactively harness its power, embracing it to shape a future of innovation and growth. Read more here: https://lnkd.in/eGHkMJeT #GenerativeAI #Leadership #AI #CIO

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Small language models are gaining popularity in solving specific domain tasks with less cost. Here in this figure we see, with only 1.3 billion parameters Phi-1.5 exhibits a performance on natural language tasks comparable to models 5x larger. Their efficiency, cost and power of customisation provide us motivation in training efficient small language models and deploying SLMs in enterprise infrastructure. One of the key factors behind the success of SLMs is along with the Instruction dataset, we use Direct Preference Optimisation (DPO) on a feedback dataset. Other efficient mechanisms include step-by-step reasoning and recall-then-generate which help to shrink the models and at the same time outperform other certain #LLMs like Llama-7B, Llama2-7B, or Vicuna-13B. However, as research evolves we will continue to answer how small can language models shrink while preserving compelling capabilities through advanced AI training. And that will keep the excitement 😋 going! Reference: https://lnkd.in/dey2-XzX #artificialintelligence #chatgpt #machinelearning #LLM #ai

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Optimising MLOps for faster model development and deployment is critical for agility as it allows businesses to rapidly adapt their credit risk models as conditions change.   Read my latest article to find outa how an end-to-end MLOps platform can help you fast-track your analytics cycles.    Here's the link https://lnkd.in/dtkjDcrD

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SAS, announced its participation in the newly launched Coalition for Responsible Evolution of AI (CoRE-AI), India’s leading multi-stakeholder coalition, that brings together over 35+ members including India’s AI-first startups, think tanks, research organizations, universities, and industry players. The coalition, hosted by The Dialogue as its secretariat, is set to play a pivotal role in shaping the responsible development, governance, and deployment of AI in India. CoRE-AI aims to provide a collaborative platform for stakeholders to address critical aspects of AI governance, skilling, awareness, and technical competencies. By fostering cross-sector partnerships, the coalition seeks to drive AI innovation while ensuring ethical standards and mitigating potential risks, making everyone feel part of the journey. Read more: https://lnkd.in/gtx-iBEu #IndiaTechnologyNews #SAS #CoREAI #ResponsibleAI #AIInnovation #EthicalAI #AIDevelopment #AIIndia #TechForGood #AIRegulation #AIandEthics #AIFuture #TechInnovation #AIForBusiness

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Improving Pre-trained Language Models: How We Label Datasets Watch the full podcast - https://lnkd.in/g5T47K7Q In this episode, host Rohit Singh Chauhan introduces our exciting new podcast series, which is focused on the groundbreaking work of the Calance Data Team in the data sciences division, particularly in generative AI. Joining Rohit Singh Chauhan are two esteemed guests: Palash Jain: Senior Manager handling the generative AI and machine learning team. Rishi Patel: Consultant and founder of MeetMinutes, a generative AI company. Subscribe to our channel for industry experts' insights into generative AI, machine learning and data science. 🔔 Turn on the notification bell so you never miss an episode! #CalanceData #GenerativeAI #MachineLearning #DataScience #Podcast #LLM #GPT #AI #ArtificialIntelligence #DeepLearning #TechPodcast

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As AI Connectors & Translators we explore different ways to solve business problems and bring business value using emerging technologies such as AI, GenAI, Graph Tech, etc. This Panel will help you understand what are those ways in which industry experts are using these technologies, how we are tackling the risks associated with them and how we are scaling up these solutions at an enterprise level. Join us and learn more ! Register Now 👍🏻✅ #youinaction #3aievents #genai #ai #ml #aiadoption #thoughtleadership #3aispectra #ainobounds Sameer Dhanrajani Nandakumar Ramaiah Kapil Gandhi 3AI

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Demystifying enterprises' growing adoption of innersource over open source, this blog post delves into the perceptible shift in strategy. Highlighting the benefits of Innersource, it explains how this trend boosts efficiency, reduces bugs, and trims costs in software development. Be privy to these insights by reading on!

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