Yesterday, I had the privilege of speaking on a panel hosted by the D8Ai Club at Rise in London, where we dove into the powerful (and rapid) shift that AI is driving in the modern workplace. While some claim the AI revolution is coming, the reality is that it’s already here and evolving faster than […]
Embracing the AI-Driven Workplace: Reflections on the D8Ai Panel Discussion Read More »
Machine learning models are powerful tools when used to automate processes and inform data-led decisions. But the effectiveness of models can degrade if left unmonitored and unoptimized. The lifecycle of a machine learning model should include constant tweaks and improvements to maintain and improve accuracy and efficiency. Without a process of machine learning monitoring, this
Getting Started with Machine Learning Monitoring Read More »
Machine learning is becoming an integral part in how the modern world functions. The collection of data has increased exponentially alongside advances in digital technology, and the power of machine learning is evolving too. Machine learning models learn and improve from these huge banks of data that are now available. Models are becoming more powerful,
Explainability in Machine Learning Read More »
Machine learning is already an important part of how modern organization and services function. Whether in social media platforms, healthcare, or finance, machine learning models are deployed in a variety of settings. But the steps needed to train and deploy a model will differ depending on the task at hand and the data that’s available.
Supervised vs Unsupervised Learning Explained Read More »
Originally published September 2021 | Updated December 2024 According to Forrester, over 25% of global data and analytics employees report annual losses exceeding $5 million due to poor data quality, with 7% estimating losses of $25 million or more. This number is staggering and considering machine learning optimization (MLOps) can significantly reduce these losses by
How to Build a Machine Learning Model Read More »
Demand is a key indicator of the operational and expansion prospects for retail organizations, and being able to forecast this can be the difference between retailers surviving and thriving in a competitive landscape. The most critical business factors, such as revenue, profit margins, capital expenditure, supply chain management etc., are directly dependent on demand.
Predicting Customer Demand With Machine Learning Read More »
In the rapidly evolving field of artificial intelligence (AI), keeping up to date on the advancements and trends is essential for businesses aiming to harness AI’s full potential. We believe, the Gartner Hype Cycle for Artificial Intelligence is a crucial resource for understanding the maturity and adoption of AI technologies. “This research helps AI
In the realm of natural language processing (NLP), the advent of Large Language Models (LLMs) has revolutionized the way we approach various tasks, including automated data extraction. LLMs, such as GPT, showcase remarkable capabilities in understanding and generating human-like text. Entity or Data extraction, a crucial component of information retrieval, involves identifying and classifying entities
Harnessing the Power of LLMs for Automated Data Extraction Read More »
The need for effective and production-ready machine learning solutions is more critical than ever. A recent Harvard Business Review study reveals a staggering failure rate of up to 80% for AI projects, almost double the rate of corporate IT project failures from a decade ago. This highlights the importance of investing in the right tools
Core+: A Strategic Investment in Your Long-Term Success Read More »
In November 2022, the launch of ChatGPT marked a groundbreaking milestone in AI, highlighting the need for the evolution of global AI regulations. In fact, demand for this evolving technology is so substantial that Gartner estimates more than 80% of enterprise companies will have utilized Generative AI APIs or deployed Generative AI-enabled applications by 2026.
Global AI Regulations: Navigating the Next Frontier Read More »
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