Ethical AI Frameworks: Moving from Principles to Practice January 15, 2021 3 min read As organizations worldwide enter 2021 amidst a prolonged pandemic, the role of artificial intelligence (AI)... AI-ethics governance fairness accountability transparency regulation bias
GPT-3 in the Enterprise: Early Applications and Limitations December 15, 2020 3 min read As 2020 comes to a close, one of the most groundbreaking developments in artificial intelligence... GPT-3 OpenAI NLP enterprise-AI language-models bias explainability
Edge AI: From Cloud-Centric to Real-Time Intelligence at the Edge November 15, 2020 3 min read By the end of November 2020, the push toward decentralization in AI had reached a... edge-AI IoT real-time NVIDIA-Jetson Google-Coral latency pandemic
Synthetic Data: Unlocking AI Potential While Protecting Privacy October 15, 2020 3 min read As we move through the latter half of 2020, synthetic data has emerged as a... synthetic-data privacy GANs GDPR COVID-19 differential-privacy healthcare
MLOps vs. DevOps: Creating a CI/CD Pipeline for AI Models September 15, 2020 3 min read As AI adoption accelerates, the question of how to operationalize machine learning models effectively is... MLOps DevOps CI-CD machine-learning model-deployment automation pipelines
Transfer Learning in Practice: Fine-Tuning AI Models for Domain-Specific Use Cases August 15, 2020 3 min read Transfer learning is no longer a promising frontier—it’s an established practice that’s transforming how enterprises... transfer-learning BERT fine-tuning domain-adaptation COVID-19 NLP computer-vision
AutoML Matures: Democratizing Model Development Without Sacrificing Control July 15, 2020 3 min read Automated Machine Learning (AutoML) is reaching an inflection point in mid-2020. What was once the... AutoML democratization H2O Azure SageMaker automation MLOps
Explainable AI: From Lab to Regulatory Compliance in Finance & Health June 15, 2020 3 min read Explainable AI (XAI) has evolved rapidly from a research-focused endeavor to a critical requirement for... XAI SHAP LIME regulatory-compliance finance healthcare transparency
Serverless AI: Running Models Without Managing Infrastructure May 15, 2020 3 min read As businesses adapt to rapidly evolving digital landscapes and unpredictable workloads, the need for scalable,... AI serverless AWS-Lambda inference FaaS scalability
COVID-19 and the Cloud Surge: Stress Testing Scalability April 15, 2020 3 min read As global lockdowns continue in response to the COVID-19 pandemic, the internet and cloud computing... COVID-19 cloud AWS Azure scaling remote-work
AI for Crisis Response: Lessons from Pandemic Modeling and Forecasting March 15, 2020 3 min read As the world grapples with the spread of COVID-19, artificial intelligence is playing a vital... AI COVID-19 epidemiology forecasting public-health
Federated Learning: Enabling Privacy-Preserving Collaboration Across Enterprises February 15, 2020 R. Dubnick 3 min read In a time when data privacy and security are under heightened scrutiny, enterprises face an...
MLOps Foundations: Building Repeatable and Reliable AI Pipelines January 15, 2020 R. Dubnick 3 min read As machine learning moves from research labs into mainstream enterprise deployments, the demand for robust,...
BERT in Production: Natural Language Understanding at Scale December 15, 2019 R. Dubnick 3 min read It has been just over a year since Google released BERT (Bidirectional Encoder Representations from...
Hybrid Cloud Strategy: Balancing Flexibility, Control, and Cost November 20, 2019 R. Dubnick 3 min read Cloud computing is now a cornerstone of enterprise IT strategy. Yet many organizations are torn...
AI Model Transparency: Preparing for Explainability in Regulated Industries October 15, 2019 R. Dubnick 4 min read As artificial intelligence (AI) systems become more deeply embedded in industries such as finance, healthcare,...
Planning a Multi-Cloud Solution September 07, 2019 R. Dubnick 4 min read Hybrid Architecture Potential
Data Pipelines July 07, 2019 R. Dubnick 4 min read It has become clear that managing data is a lot more complicated and time consuming...
Dreaming Deeply with Neural Networks May 29, 2019 R. Dubnick 8 min read Deep Dream algorithm and image over-processing
Factor Models & Risk Exposure September 04, 2018 R Dubnick 12 min read Factor Models & Risk Exposure One of the first principles underlying Financial market dynamics concerns...
Machine Learning Models May 07, 2018 R. Dubnick 2 min read Ubiqity of algorithmic intuition We’re challenged by a world of increasing speed and complexity where...
Attribution & Aggregation May 06, 2018 R. Dubnick 1 min read Quantative Trade Strategies Algorithmic Trading is a technique of deploying algorithms that automatically buy and sell...
