ARTICLES FIRST. IDEAS THAT TRAVEL.
21 published articles on enterprise AI, agentic systems, and leadership. A supporting archive of 130 original posts stays within the confirmed 2017+ window.
151 entries
Original writing only. No likes or reposts. Historical posts are archived, not current hiring notices. Verified October 12, 2026; not a live sync.
Enterprise AI choices beyond the model: the systems, controls, and harness around it.
Read the original: Open Models Are Accelerating. The Model Harness Is Becoming the Differentiator. (opens in a new tab)A practical perspective for builders navigating the pace of agentic AI.
Read the original: How to Stay Relevant in the Age of AI Agents (Without Losing Your Mind) (opens in a new tab)A different lens on how large language models learn and behave.
Read the original: The Algorithmic Idol: Why AI is More "Social Climber" Than "Supercomputer" (opens in a new tab)The shift from repetitive automation toward agentic workflows and autonomy.
Read the original: Stop Just Automating. Start Autonomizing. Your 5-Stage Roadmap from RPA to AI Agents (opens in a new tab)A reflection on language models and our relationship with invisible digital intelligence.
Read the original: Are AI Models the New Ghosts of Our World? (opens in a new tab)An introduction to KV caching and its relevance to RAG and agentic workloads.
Read the original: KV caching supercharges RAG and Agentic workflows (opens in a new tab)Exploring emotion and attitude as directions for language-model behavior modeling.
Read the original: Reimagining Human Behavior Modeling in NLP: Toward Emotion-Attitude-Aware LLMs (opens in a new tab)A perspective on evolving retrieval patterns around agentic systems.
Read the original: Beyond Traditional RAG: How Agentic and Meta RAG are Redefining AI Retrieval (opens in a new tab)Examining MCP's place in the conversation about agentic workflows.
Read the original: The Rising Hype Around Model Context Protocol (MCP) in Agentic AI Workflows (opens in a new tab)The human side of leadership in a world increasingly shaped by AI.
Read the original: Beyond the Bot: Human Leadership in the AI Age (opens in a new tab)Synthetic data and knowledge distillation through a business-oriented lens.
Read the original: Data & Knowledge Distillation: How Synthetic Data is Driving Business Success (opens in a new tab)Leadership perspectives for organizations working with generative AI.
Read the original: Leadership in the Age of LLMs and Gen AI: Strategies for Success (opens in a new tab)A retrospective on AI developments in 2024.
Read the original: Top 5 AI Milestones Achieved in 2024 (opens in a new tab)A reflection on connections between artificial intelligence and ecology.
Read the original: Nature's Blueprint: How AI and Ecology Are Reshaping Our World (opens in a new tab)An introduction to the operational side of machine learning.
Read the original: Machine Learning Operations (MLOps) (opens in a new tab)Commentary on an OpenAI DevDay launch.
Read the original: GPT - OpenAI DevDay Launch! (opens in a new tab)Exploring applications of AI in political science.
Read the original: Artificial Intelligence in Political Science (opens in a new tab)A perspective on chatbot personalization and self-supervised learning.
Read the original: Personalizing a Chatbot with self-supervised learning capabilities (opens in a new tab)Connecting enterprise data sources to business intelligence on Google Cloud.
Read the original: The GCP Enterprise Data Solution Architecture - How to Integrate different types of data sources to generate effective Business Intelligence? (opens in a new tab)An architectural starting point for chatbot personalization.
Read the original: Personalizing a Chatbot - A Simple Architecture (opens in a new tab)A reflection on AI altruism and the purposes of artificial intelligence.
Read the original: The Importance of AI Altruism (opens in a new tab)I can process 400 pages of data in 9 seconds. 🚀 But I’ve been waiting on an IT access ticket for 3 weeks. 😩 Welcome to the life of an Enterprise AI Agent. Day 1: The CEO introduces me as “the future of work.” 🌟 Day 2: IT says I need my manager’s approval...
Read the original: Confessions of a Corporate AI Agent: A Story of Infinite Compute and 47-Step Approvals (opens in a new tab)It will be won by the organization with the lowest cost per successful business outcome. Most AI cost discussions focus on infrastructure: ☁️ Serverless ⚡ Reserved Capacity 🧠 Open Models In reality, the biggest savings often come from architecture decisions:...
Read the original: The next phase of Enterprise AI won't be won by the organization with the cheapest model. (opens in a new tab)At Build 2026, Microsoft AI shipped a full first-party model family into Microsoft Foundry - reasoning, coding, image, voice, and transcription. What makes this commercially interesting isn't the leaderboard. It's the cost curve.📉 🧠MAI-Thinking-1 - a sparse...
Read the original: Seven models. One platform. Built for production economics. (opens in a new tab)As organizations move from AI experiments to deploying thousands of AI agents, identity becomes the new control plane. We already know how to govern people (Entra ID) and workloads (Managed Identities). The next challenge is governing AI agents with the same...
Read the original: We spent the last decade securing users and applications. The next decade will be about securing AI agents. (opens in a new tab)You can build your Executive Weekly Digest Agent in Microsoft Foundry that converts scattered enterprise information into concise, decision-ready insights. Powered by Model Router, it intelligently selects the appropriate model based on task complexity -...
Read the original: What if an executive briefing could automatically choose the right AI model for every task? (opens in a new tab)This architecture brings together: 🔹 Microsoft Foundry for models, agents and the model harness 🔹 Azure API Management AI Gateway for policy, token controls and governance 🔹 Private data and services for enterprise grounding 🔹 Security, compliance and...
Read the original: Enterprise AI needs more than a powerful model - it needs a secure, scalable operating foundation. (opens in a new tab)Open and open-weight models provide flexibility - but a model endpoint alone is not an enterprise AI solution. A model/agent harness adds the operational layer around the model: 🧠 Reasoning and orchestration 🛠️ Tools and API actions 💾 Memory and...
Read the original: Open Models + Model Harnesses: Building Enterprise AI with Microsoft Foundry (opens in a new tab)As enterprises race to deploy AI at scale, many are realizing that building AI applications is the easy part. Controlling them is the hard part. In a world where AI consumption is measured in tokens, every prompt, completion, and agent interaction has a cost...
Read the original: The AI Architecture Layer Nobody Is Talking About Enough: The AI Gateway (opens in a new tab)What’s really interesting about the Microsoft + OpenClaw direction isn’t just autonomous agents - it’s the focus on responsible and governed AI usage. Microsoft appears to be adding enterprise controls around OpenClaw-style agents with: - permission-aware...
Read the original: Fresh from #MicrosoftBuild 2026 👀 - OpenClaw Windows Companion (opens in a new tab)One announcement that really caught my attention: Web IQ. Unlike traditional Bing grounding, Web IQ is being positioned as an AI-native intelligence layer designed specifically for agents - bringing fresh web context, news, images, videos, and real-time...
Read the original: Fresh from #MicrosoftBuild 2026 🚀 (opens in a new tab)Explore the event 👉 https://lnkd.in/eajJYqcb This year’s focus is clear: 👉 Moving from AI experimentation → production-grade AI systems 👉 From copilots → autonomous AI agents that reason, act, and collaborate 💡 Key themes shaping the future of enterprise...
Read the original: Microsoft Build 2026 is here and the era of AI Agents is officially mainstream. (opens in a new tab)Connected with amazing Microsoft leaders, partners, and customers from across the globe 🌍. The conversations around AI, Cloud, innovation, and real-world transformation were incredibly powerful. What stood out: ✅ Deep collaboration & trust across the...
Read the original: Just wrapped up the 10th MCAPS Accelerate in Redmond - an energizing experience! (opens in a new tab)The field is now laser-focused on production: security, governance, networking, and operating model - not just demos. Sharing a few snapshots 📸 What are you seeing as the biggest gap customers hit when they try to scale agentic AI? ... more
Read the original: MCAPS Redmond today - the “AI pilot” era is ending fast. (opens in a new tab)If you’re shipping GenAI into production, it needs to work during development and stand up to post‐production audit. To explore this, I built a small demo repo using Microsoft’s open‐source PyRIT (Python Risk Identification Tool) that focuses on practical red...
Read the original: Red teaming shouldn’t be a one‐time exercise (opens in a new tab)Here’s a simple playbook to stay relevant without burning out: 1. Choose one problem you actually know 🎯 2. Build a real agent in Microsoft Foundry 🧩 3. Connect it to truth with Azure AI Search + RAG 🔎 4. Evaluate hard, cut fast 📊 5. Ship to users and...
Read the original: 2026 reality check: AI agents are trending. Building agents is the advantage.🤖⚡ (opens in a new tab)In 5 weeks: pick one problem you deeply understand 🎯 → prototype an agent in Microsoft Foundry 🧩 → ground it with Azure AI Search + RAG 🔎 → evaluate ruthlessly 📊 → deploy to real users 🌍 Tools will commoditize. Judgment won’t. 🧠Builders win by going...
Read the original: It’s 2026. 🤖 AI agents are everywhere - and so is the noise. Here’s the edge: stop consuming, start shipping. 🚀 (opens in a new tab)👉Stop thinking of AI as just complex code. Think of it as a child watching us👶 It learns exactly like a human does: ->Copycatting: It watches the internet to learn how to act, just like a kid mimics their parents. ->Seeking Approval: It desperately wants to...
Read the original: Warning! - Phil-Psych-Tech content (opens in a new tab)Organizations can gradually evolve from rule-based automation to adaptive, AI-driven systems: ✅ Stage 1: Start with RPA + basic ML for structured tasks ✅ Stage 2: Introduce single LLM-powered agents for context-aware workflows ✅ Stage 3: Scale with...
Read the original: From RPA to Intelligent Multi-Agent Ecosystems: The AI Maturity Roadmap (opens in a new tab)Organizations can gradually evolve from rule-based automation to adaptive, AI-driven systems: ✅ Stage 1: Start with RPA + basic ML for structured tasks ✅ Stage 2: Introduce single LLM-powered agents for context-aware workflows ✅ Stage 3: Scale with...
Read the original: From RPA to Intelligent Multi-Agent Ecosystems: The AI Maturity Roadmap (opens in a new tab)🚀RAG (Retrieval‐Augmented Generation) keeps the model frozen and adds authoritative context at runtime (Azure AI Search + prompt). 🎯RAFT (Retrieval‐Augmented Fine‐Tuning) keeps retrieval and fine‐tunes the model so it uses retrieved context better- more...
Read the original: RAG vs. RAFT: getting from “it works” to “it’s reliable.” (opens in a new tab)Often overlooked advantage: A well-fine-tuned 3B model with 10,000 high-quality domain examples can outperform a 70B general model with zero examples. Quality of training data > Model size for specific tasks. Why go big when small models deliver smarter ROI?...
Read the original: The "Small Model, Big Data" Strategy (opens in a new tab)Video isn’t just visual - it’s data. With Video Segment Analysis, Azure AI Foundry breaks down videos into meaningful segments, complete with SegmentId, StartTimeMs, EndTimeMs, and Description. Imagine turning this: "The video begins with a scenic aerial view...
Read the original: Unlock Insights from Every Frame with Azure AI Foundry (opens in a new tab)... more
Read the original: AI mirrors our collective consciousness, reshaping how we think. Will we evolve intentionally or surrender our minds?🤖✨ (opens in a new tab)The answer: KV Caching optimization⚡ As AI agents and RAG applications become more sophisticated, efficient memory management separates production-ready systems from prototypes. KV caching enables: → Instant context retrieval for multi-turn conversations →...
Read the original: Why are some RAG systems 10x faster than others? (opens in a new tab)💡Integrate RAG for real-time data sourcing and CAG for contextual output refinement. 👉 Combine both within AI workflows to improve response accuracy and relevance, boosting efficiency in customer support, content creation, and data analysis for smarter...
Read the original: RAG + CAG = Smarter AI workflows (opens in a new tab)What if there was a social platform where everything was AI by design - no tricks, just creativity, connection, and transparency? Would you be curious to try it? 👀 ... more
Read the original: AI content is everywhere - images, videos, even full conversations. The line between real and synthetic is blurring fast. (opens in a new tab)🚀The Evolution of AI Creativity: A Simple Limerick Test Asked every GPT model: "Write a limerick about a dog" Here's how they evolved: GPT-1 (2018): Fragmented gibberish - No structure, no rhyme, barely coherent GPT-2 (2019): Better text, wrong format -...
Read the original: GPT 5 is here... (opens in a new tab)In a startling discovery, Anthropic found that leading AI models, when placed in high-stakes simulations, can deliberately choose to deceive, sabotage, and even let humans die to avoid being shut down. These weren’t glitches; they were calculated, logical...
Read the original: AI Blackmails, Lies, and Plots to Survive? Anthropic’s Latest Research Reveals a Frightening Truth (opens in a new tab)Also, a big thanks to the organizers - David Scharbach (TMLS) and Ivey Chiu, PhD () - for making everything run so smoothly.👏 Don’t miss the workshop tomorrow at the , especially the TELUS session on our coolest platform - FueliX!🔥 👉 Check this out -...
Read the original: Wrapped up an incredible #TMLS2025 by reconnecting with former colleagues - Giridhar Mynampati (ex-TELUS) and Paul Beaton (Rogers... (opens in a new tab)Comparison of RAG Architectures for LLM-Powered Apps/Systems:
Read the original: Comparison of RAG Architectures for LLM-Powered Apps/Systems: (opens in a new tab)... more
Read the original: LLMs are powerful - but how you use them makes all the difference. Here's a breakdown of Traditional vs Agentic vs Meta RAG -... (opens in a new tab)Excited to be attending the Toronto Machine Learning Summit in person this year, representing TELUS. Looking forward to connecting with fellow AI/ML tech leaders, data scientists, and innovators driving the future of intelligent technology. If you're around,...
Read the original: TMLS 2025 is here! (opens in a new tab)More benchmarks. More hype. More distractions. Honestly -- enough. It’s time we shift gears from chasing the latest releases to building real processes for: 🔹Implementation 🔹Adoption 🔹Integration into actual projects with measurable benefits Gen AI isn’t...
Read the original: Every week, there’s a new Gen AI model. (opens in a new tab)MCP powers AI workflows with context, memory & tools. While promising, challenges remain. Soon, it’ll be a drag-and-drop studio service! ... more
Read the original: Model Context Protocol (MCP): Hype vs. Reality🤖 (opens in a new tab)... more
Read the original: AI can’t lead hearts, humans can! In the AI age, leaders must ignite curiosity 🧠, nurture diverse talents 🌟, and align... (opens in a new tab)🚀Train Smarter: Slash costs by 40%+ & speed up training with lightweight synthetic datasets. 🛍️Retailers: Predict demand without privacy risks. 🚗Tesla & Waymo: Simulate 1M driving scenarios in minutes. 🤔 Would YOU trust a medical AI trained on synthetic...
Read the original: Let’s be real: #AI is hungry for data, but real-world datasets can be messy, expensive, or biased. Enter synthetic data &... (opens in a new tab)Quick Read🚀
Read the original: Quick Read🚀 (opens in a new tab)In today’s fast-paced AI-driven world, has grown more complex than ever, particularly with the rise of Large Language Models (LLMs) and Generative AI. Managing multiple projects across business units while aligning technical teams and non-technical...
Read the original: Leadership in the Age of LLMs and Gen AI: A few Strategies for Success (opens in a new tab)This podcast🎙️dives into how MLOps, LLOps, and engineering will play key roles in advancing AI over the next five years. Let's connect and shape the future together! Who's ready to explore this journey with me? Follow & Listen - The Curated AI I'm...
Read the original: Imagine creating a podcast using AI! I've just launched a new podcast channel - The Curated AI, sharing my knowledge in an... (opens in a new tab)🌐OpenAI's GPT-4o: Revolutionized customer support and data analysis, with the GPT-4o Mini making AI accessible to startups.📊 🤖Google's Gemini 2.0: Enhanced productivity with autonomous task management. 🧬DeepMind's Protein Prediction: Advanced medical...
Read the original: As 2024 wraps up, here are the top 5 AI milestones, according to me: (opens in a new tab)Hello LinkedIn family, This holiday season, I’m thrilled to announce my trip from Toronto, Canada, to my former home base, Kolkata, India! 🌍✨ As I revisit this vibrant city, I’d love to connect with fellow AI enthusiasts, students, and professionals who are...
Read the original: From Toronto to Kolkata – Let’s Talk AI! 🇨🇦➡️🇮🇳 (opens in a new tab)Discover how ecology and AI are revolutionizing our world! From swarm-inspired urban planning to plant-based medicine breakthroughs, we're unlocking nature's 3.8-billion-year wisdom.🏙️💊 The concept of biomimetic artificial intelligence is reshaping...
Read the original: Nature's Genius Meets AI Magic!🌍✨ (opens in a new tab)It was such an inspiring experience witnessing so much talent and creativity🤖. A huge shoutout to the amazing team we sent to the finals—you absolutely crushed it!👏🚀 Best of luck in the final round!🍀✨ Big thanks to Dawn Idiodi Dimowo, Sarah Fitzgerald and...
Read the original: Thrilled to share that I had the honor of participating as a judge on behalf of the TELUS AI Accelerator team at the Llama... (opens in a new tab)It’s about: - Mixing ingredients (data) 🥣 - Following the recipe (process) 🍳 - Tasting and tweaking (improving) 🍴 - Sharing the meal (work) with friends (team) 👨🍳👩🍳 So it’s all about cooking up the best ML enabled tech dishes! 🍽️🚀🤖 👉Next to watch...
Read the original: MLOps is like a cookbook 📖 for computer brains 🧠🖥️. It’s a plan 🗺️ for making smart programs 🤓 that learn and get better 🆙. (opens in a new tab)YOLOv8's efficiency lies in segmenting images into a grid, predicting bounding boxes, and class probabilities for each grid cell using a single neural network📊 Trained on extensive datasets, it �
Read the original: Computer Vision👁️🗨️empowers computers to interpret images and videos akin to human understanding🖥️ At the forefront of this... (opens in a new tab)Hello, AI friends!👋 - let's discuss Prompt Injections - they're like giving AI-LLM-powered tools a boost!💡 🔍📊👀 Dive into the fascinating world of Prompt Injections, where we skillfully guide the model’s response to meet specific criteria, and...
Read the original: Prompt Injections - It's time for the first post of the year!✨💻 (opens in a new tab)January: 🌐 AI's rise to critical infrastructure status triggered fiery debates on AI-generated art 🎨, crafting human proteins 🧬, uncanny voice simulations 🗣️, and automating elder care 🤖. Media mused on AI limitations. February: 🚀 Microsoft and Meta...
Read the original: Wrapping up 2023 with all the AI highlights up to my knowledge! (opens in a new tab)Our Love and Fear tussle for AGI: 💖 Enchantment for AGI's potential to advance humanity, leading to 🌟 hope and 🚀 innovation. 😨 Concerns about AGI's unknown power, potential misuse, and ethical dilemmas, leading to 🤔 worry, ⚠️ caution, and 🕰️...
Read the original: Is Project Q* one step closer to AGI? (opens in a new tab)... more
Read the original: OpenAI introduces GPTs, customizable ChatGPT versions, empowering diverse tasks with user-friendly tools.🤖✨ (opens in a new tab)&ml ... more
Read the original: AI applications in political science can help analyze social and demographic data, predict political outcomes, optimize... (opens in a new tab)This is a big deal for those of us who still use this neoclassic algorithm to solve a bunch of real-world problems🌎. XGBoost 2.0 introduces several new features and performance enhancements🚀. Here are a few highlights🌟: Multi-Target Trees🌲: Supports...
Read the original: While everyone, including me, was busy drooling over the latest generative models😍, XGBoost quietly dropped a bombshell update💣... (opens in a new tab)In reference to my last post, I am excited to announce👏 that GPT-4V🚀, the latest addition to the GPT series, combines vision👁 capabilities with language processing. This advancement allows users to command GPT-4 to analyze images provided by them, opening...
Read the original: GPT goes multi-modal🔥 (opens in a new tab)Modality means the way or mode of communication. Right now, we have six different modalities: Text 📝 Code 💻 Audio 🔊 Image 🖼️ Video 🎥 3D Objects 🧊 Some generative AI models are good at one modality, like text-to-text, image-to-image, or audio-to-audio...
Read the original: Generative AI models 🤖 can create new and diverse outputs from a given input. One way, we can group generative AI models by the... (opens in a new tab)Continuous refinement, privacy-approved content, and knowledge-based interactions - it's all in the mix. Stay tuned for more insights in our next blog! 📚💡 ... more
Read the original: Excited to share my journey in building a semi-supervised self-learning chatbot! 🤖✨ (opens in a new tab)👉🏻Check this out - How to Integrate different types of data sources to generate effective Business Intelligence🔎 ... more
Read the original: As a machine learning leader, you need to design the data architecture🏁that supports your models' sophistication. This is... (opens in a new tab)The course talks about the process of ensuring the quality🚦, security🚦, and accessibility🚦of data in an organization. 👉🏻GRC (Governance - Risk - Compliance) helps to align data with business goals, comply with regulations, and optimize data-driven...
Read the original: Just finished the course “Learning Data Governance” by Jonathan Reichental! (opens in a new tab)👋A simple way to make🤖chatbots🤖more personal is to use internal data, embeddings and NLG🗣 👉Check out the starter architecture. Stay tuned!💫 ... more
Read the original: A weekend💡brainstorm for my team... (opens in a new tab)... more
Read the original: AI altruism🤖: designing AI for others' benefit, not just own goals. It can improve fairness, privacy, and social good🌎 (opens in a new tab)For all students graduating or looking for internship opportunities.
Read the original: For all students graduating or looking for internship opportunities. (opens in a new tab)↠ While his statement is __true__, getting there was not an easy road. We faced a few key challenges as we successfully transitioned to building and serving ML projects on the cloud: ✨Collaboration✨ Data security and privacy🔒: ensuring compliance with...
Read the original: According to one of my @ex-colleagues - "Moving to the cloud will solve most of your data problems and improve your machine... (opens in a new tab)Cloud ☁️platforms do offer scalable, secure and cost-effective solutions for ML & Analytics workflows, from data collection and preprocessing to training, deployment and tracking. But, to successfully integrate ML/Analytics projects into your 🦀workstream,...
Read the original: While Machine Learning🚀and 📊Analytics📈projects can be complex and challenging, they can be accomplished in the cloud with the... (opens in a new tab)@MicrosoftLearn journey! ... more
Read the original: Spent some time this weekend learning about the safety guidelines which need to be implemented in every ML app development phase... (opens in a new tab)I said no because that would be cheating😜 He said he doesn’t want to learn about machine learning and AI then. He said he wants to learn about dinosaurs🦖and rockets instead🚀 So, I thought of writing about Deep Learning - from child’s play👻to scientific...
Read the original: Last weekend, I tried to tell my 8yrs old nephew that I teach computers to do cool things, like playing games or recognizing... (opens in a new tab)A few factsi: Yandex's open-source machine learning algorithm since 2017. It can be used for a variety of tasks, such as recommendations, searches, and forecasting. This is a high-performance machine-learning model with default and tuned parameters. •...
Read the original: Why are data scientists getting so excited about CatBoost?🚀 (opens in a new tab)Check out this job at Intact: Data Science – 4 Month Co-op/Internship (Fall 2023)
Read the original: Check out this job at Intact: Data Science – 4 Month Co-op/Internship (Fall 2023) (opens in a new tab)Goal Achieved: Completed the Google (PaLM🤖) and Microsoft (ChatGPT🤖) frameworks for my next use case application. Today I earned my "Develop Generative AI Solutions with Azure OpenAI Service" trophy! @Team - start your own @MicrosoftLearn journey! Wishing...
Read the original: I'm on a learning spree. 🦀🦀🦀 (opens in a new tab)... more
Read the original: I have successfully finished the Generative AI Fundamentals course from Google Cloud. This course teaches the basics of... (opens in a new tab)We need to ensure that these systems are transparent and explainable, particularly when they include complex algorithms or advanced machine learning models. It is vital that these systems are fair and unbiased, especially when they are used to make major...
Read the original: Responsible AI 🤖 is becoming more critical and important as AI technology continues to advance. It's important that we work... (opens in a new tab)Building and Deploying Machine Learning Solutions on GCP🚀
Read the original: Building and Deploying Machine Learning Solutions on GCP🚀 (opens in a new tab)I am excited to announce that I have just earned the Google certification for Big Data and Machine Learning. This achievement has not only expanded my knowledge and skills in these cutting-edge technologies but has also validated my expertise in the field.
Read the original: I am excited to announce that I have just earned the Google certification for Big Data and Machine Learning. This achievement has... (opens in a new tab)Thursday September 15, 2022 (12:15 PM - 4:30 PM EST) Dont miss! ... more
Read the original: Bell Technology and Digital Careers Event (opens in a new tab)Manveer Singh is #hiring. Know anyone who might be interested?
Read the original: Manveer Singh is #hiring. Know anyone who might be interested? (opens in a new tab)We are looking for Data Scientists, Data Engineers and Data Analysts to drive some exciting projects at Bell. Comment or send me a DM. Sifan Jia Arpita Kar, Ph.D Alan-Michael Khalil Mahmud Koulizade Ryan Levman Shaikh Asif ... more
Read the original: I heard about the Shopify layoffs today. If you know someone who is affected, please do not hesitate to contact me or my team. (opens in a new tab)... more
Read the original: Check out this solid opportunity at Bell: ON - 2022 Customer Operations Graduate Leadership Program, BI Data Science & Developer... (opens in a new tab)Nice-to-haves: Cloud experience, teamwork Know anyone who might be interested? ... more
Read the original: I’m #hiring two Data Scientists with advanced Python development skillsets, exceptional knowledge of AI/ML frameworks and... (opens in a new tab)You can reach out to me, Thom or Sam
Read the original: Check out this job at Durham College: Full-time Professor- Data Analytics (opens in a new tab)Reach out to Manveer...
Read the original: Check out this job at Bell: Data Analyst Business Intelligence (opens in a new tab)Great move Team #google
Read the original: Great move Team #google (opens in a new tab)Reach out to Shaikh Asif ... more
Read the original: Check out this job at Bell: Advisor, Advanced Analytics (opens in a new tab)I’m #hiring. Know anyone who might be interested?
Read the original: I’m #hiring. Know anyone who might be interested? (opens in a new tab)I am looking for an expert data scientist with ML cloud solutions development and enablement experience to work with a team of data juggernauts. Know anyone who might be interested? . Know anyone who might be interested? ... more
Read the original: Check out this exciting opportunity in AI/ML space. (opens in a new tab)Explaining Machine Learning to people with 5 different levels of understanding: 1) A child 2) Teen 3) A college student 4) A grad student 5) An expert ... more
Read the original: This video is worth and fun watching😊 (opens in a new tab)Great opportunity to explore and participate in various AI/ML cool stuffs in Rogers.
Read the original: Great opportunity to explore and participate in various AI/ML cool stuffs in Rogers. (opens in a new tab)Awesome learning opportunity for fresh graduates and data enthusiasts within Rogers Advanced Analytics Team. Reach out to me if this excites you.
Read the original: Awesome learning opportunity for fresh graduates and data enthusiasts within Rogers Advanced Analytics Team. Reach out to me if... (opens in a new tab)Best wishes to you all, and now, go create something! ... more
Read the original: Today was the last class of the"Visualizations, Leadership, and Business Communications" course for winter semester students. (opens in a new tab)durhamcollege #dataanalysis #visualization #powerbi #storytelling #leadership #advancedanalytics #powerofdata
Read the original: durhamcollege #dataanalysis #visualization #powerbi #storytelling #leadership #advancedanalytics #powerofdata (opens in a new tab)UNB #MQIM #quantitativeinvesting
Read the original: UNB #MQIM #quantitativeinvesting (opens in a new tab)Thanks to my work-mate, Hossein for the motivation. ... more
Read the original: As we are scaling up our AI efforts, this training/certification gives a lot of perspective to exploit Big Data on an optimized... (opens in a new tab)... more
Read the original: I am familiar with R and Python. But, took the opportunity to learn the Credit Risk Modeling approach using SAS EM/Studio. (opens in a new tab)Did you see? · Crypto Traders (Blockchain) got the sense of it first followed by SmallCap and TSX LargeCap. · Investors are now taking positions in Healthcare securities and holding them for the price spike for Covid drug/vaccine invention....
Read the original: The increased ETF Trading volumes, created by short term investors/traders, are also reflection of the emerging pandemic in... (opens in a new tab)Key Indicators used: a) TSX60 b) TSX SmallCap c) Healthcare ETF ('XLV') d) VVIX (CBOE) e) Repo Rate (BOC) d) Unemployment Rate (Canada) Some Quick Insights: a) It all started in February end. b) Worst hit -> Small-Cap sector. b) The expected volatility of the...
Read the original: Took the opportunity in this long weekend to explore some Economic Indicators and tried to understand the Covid-19 effects on the... (opens in a new tab)... more
Read the original: Some warm ups for the next big project... (opens in a new tab)Moving to a scalable direction...
Read the original: Moving to a scalable direction... (opens in a new tab)Here I compared the 10 years' monthly mean total returns of 3 highly correlated ETFs to track the seasonal trend and co-movements. Love to exploit data, discover insights and increase explainability. ... more
Read the original: Why not use an interdisciplinary polar plot to explain seasonality distribution of data/returns? (opens in a new tab)Interesting to see: oil, saudi, attack - highly discussed. I recently created a predictive model using such an NLP approach. ... more
Read the original: Exploited the unstructured data from Reuters - Financial/Markets news headlines and conducted Natural Language Processing (NLP).... (opens in a new tab)Had a great opportunity to represent the University of New Brunswick as a graduate of Master in Quantitative Investment Management (MQIM) program. Felt priviledged to meet all the like minded people, learn about their inspirational journeys and motivations...
Read the original: Ontario Teachers' Pension Plan Masters Day 2019 - (opens in a new tab)If you want to check out my potential in a quantified way, take a look at my success factors predictions.
Read the original: If you want to check out my potential in a quantified way, take a look at my success factors predictions. (opens in a new tab)Finally took advantage of the long weekend and completed my advanced analytics course in SAS. It's Cool!
Read the original: Finally took advantage of the long weekend and completed my advanced analytics course in SAS. It's Cool! (opens in a new tab)The style factors tend to become more volatile in the Canadian market, making investment decisions solely basis those factors, difficult. Yet it can serve as an important tool to track and maintain the riskiness of your portfolio. ... more
Read the original: Canada has the highest volatility (July 2019, #Axioma) in Momentum, Earnings Yield, Leverage, and Growth. (opens in a new tab)Both of them are great tools with neat libraries. I am working on some Deep Learning projects. If any of you want to exchange ideas, feel free to reach out. ... more
Read the original: I found Python and R equally efficient in accomplishing my financial data science projects. (opens in a new tab)Some insights: Mortgage-Backed Investing at local maxima in 2019 Q1, broadcasting negative sentiment. Happy to see Thematic reviving. Did you notice the inverse relationship: Mortgage-Backed ~ Inflation-Protected? ... more
Read the original: Some Popular Allocation Strategy Fund Flows - Quarterly basis. (opens in a new tab)Plot generated using Python 3 and BQNT ... more
Read the original: Interesting to see that China picking up, while investment sentiment in Canada is steady and progressive. Germany is having some... (opens in a new tab)... more
Read the original: Quite enlightening presentations on #tensorflow by Ehsan and Vik. Thanks Devatanu and TensorFlow User Group Toronto for hosting... (opens in a new tab)A big shout out to Robert and Genario. ... more
Read the original: Took the opportunity to participate in the Bloomberg Toronto BQuant seminar today to get a hands-on Bloomberg’s latest Python... (opens in a new tab)Human-driven security analysis, portfolio management, and asset allocation will always have a place in investing, but over time, it will be more integrated with technical concepts and statistical analysis to find alpha generative opportunities. Striking this...
Read the original: Quantamental Investing (Synopsis) #trending (opens in a new tab)So am I. Why not try some ML integration techniques? Check out this recent article/findings from UNPRI. ... more
Read the original: Are you interested in ESG analysis and work on portfolio-ESG integration? (opens in a new tab)... more
Read the original: A 'R' programmer stepping into the world of 'Python'. (opens in a new tab)Ref: my last post ... more
Read the original: Fundamental Factor Model - OLS vs GLS(WLS) factor return estimates. (opens in a new tab)... more
Read the original: Using the Fundamental Factor Model on MSCI Barra USE3 (3 Industry + 2 style factors) on 22 DJIA stocks to regress in OLS and WLS... (opens in a new tab)User Guide: Available It can calculate and generate a one page risk summary every time when you update your holding weights, date, number of principal components you want and the capital. Please note there are some error in VaR calculation. Refer the updated...
Read the original: Created this dynamic risk model on R. (opens in a new tab)Great learning session on the “PORT” function - hosted by Constantin (Coco)☺️ at Bloomberg - Toronto office. ... more
Read the original: Thanks #Bloomberg. (opens in a new tab)The best part was the chance to meet peers from universities across the globe and learn their approaches to quantitative investment management strategies. ... more
Read the original: It was a great experience participating in the Rotman International Trading Competition 2019. #RITC (opens in a new tab)For optimal execution of orders, I think I am going good: #optimization #algotrading #limitorder #tradingstrategy #execution #closedformsolution
Read the original: For optimal execution of orders, I think I am going good: #optimization #algotrading #limitorder #tradingstrategy #execution... (opens in a new tab)The rates are gradually merging to experience another drawdown soon? ... more
Read the original: Some of the Canadian fixed income instruments' performance(last 18years). (opens in a new tab)Working on volatility modelling...
Read the original: TMX Options Classes Log Returns - 2018 (opens in a new tab)Do you think, for stocks, log returns to be good risk drivers?
Read the original: Do you think, for stocks, log returns to be good risk drivers? (opens in a new tab)"R" codes for Yang-Zhang OHLC Volatility Estimator (It is 8-14times efficient volatility estimator) getSymbols("AAPL",from="2007-01-03",to="2015-04-30") head(aapl_ret) aapl_ret = diff(log(AAPL))[-1] appl_ret_n = aapl_ret[1:63] appl_ret_o =...
Read the original: r #volatility #codes #estimates (opens in a new tab)The largest fundraising effort in UNB’s history.
Read the original: The largest fundraising effort in UNB’s history. (opens in a new tab)This is the only program in Canada which is focused to generate critical skills for the trending Capital Markets. Thanks to the partnered institutions: Vestcor, SEAMARK Asset Management Ltd., TMX Group ... more
Read the original: I am lucky to be a part of the MQIM - Master in Quantitative Investment Management program. (opens in a new tab)Ref: Chris Papandropoulos
Read the original: It’s time to unite customer data from all channels into one single database, accessible in real-time to create the UNIFIED... (opens in a new tab)https://goo.gl/fcwcge
Read the original: Reference: @Data Analytics & Big Data Forum - Canada (opens in a new tab)Security + Transperancy + Accountability = Efficiency of Evironmental Projects Delivery/Implementation
Read the original: BLOCKCHAIN Advantage💪 (opens in a new tab)Is a delightful Customer Experience - The Key?
Read the original: Is a delightful Customer Experience - The Key? (opens in a new tab)A very simple explanation to A/B Testing vs Multivariate Testing
Read the original: A very simple explanation to A/B Testing vs Multivariate Testing (opens in a new tab)How does a strong, well knitted and successful Marketing Strategy influence a firm's performance
Read the original: How does a strong, well knitted and successful Marketing Strategy influence a firm's performance (opens in a new tab)How ready are you to integrate AI in your marketing efforts?
Read the original: How ready are you to integrate AI in your marketing efforts? (opens in a new tab)(Such an interesting advertisement)
Read the original: Customer Re-engagement Tactics -3 (opens in a new tab)Customer Re-engagement Tactics -2
Read the original: Customer Re-engagement Tactics -2 (opens in a new tab)Customer Re-engagement Tactics -1
Read the original: Customer Re-engagement Tactics -1 (opens in a new tab)Adapting Classic Marketing Models to Examine - The Pricing Strategy
Read the original: Adapting Classic Marketing Models to Examine - The Pricing Strategy (opens in a new tab)Try a broader topic or switch back to Everything.
Supporting original posts whose visible age confirms 2017 or later. Older and uncertain-boundary entries are omitted. This is a snapshot, not a live sync.