Blog posts

Explore the benefits of Custom Large Language Models (LLMs) in customer service, contrasting with Open Source LLMs. Read real-world cases where Custom LLMs, tailored with industry-specific data, transformed customer service operations, ensuring consistency, reduced response times, and cost savings.

Discover the transformative power of MLOps, a unified discipline that streamlines the machine learning lifecycle from data collection to model deployment. Learn how MLOps can elevate your machine learning projects, ensuring long-term success, scalability, and sustainability.

While AI's capabilities are expanding, there's a growing demand for Explainable AI (XAI) to make these systems transparent and understandable. XAI aims to reveal the "how" and "why" behind AI decisions, fostering trust and accountability.

The synergy between wearable technology and AI, is paving the way for life-saving insights and proactive healthcare.

From computational demands to a scarcity of specialised talent, explore the array of unspoken challenges of building an LLM. Explore what it takes in terms of technical and human resources to deploy these transformative technologies successfully.

Explore the intricate world of facial recognition through the lenses of neuroscience, psychology, and artificial intelligence. Discover how our brains are wired to recognize faces, the challenges posed by conditions like prosopagnosia, and how AI technologies are learning from human insights.

Studies show that GenAI can boost productivity by up to 60% and contribute trillions to the global economy. While risks exist, they're manageable with expertise, making GenAI adoption a strategic necessity for modern businesses.

Discover how synthetic data is revolutionising healthcare, from aiding stigmatised illness research to impacting COVID-19 studies. Understand its benefits, limitations, and its evolving role in medical advancements in healthcare in the days to come.

We've been updating Skim Engine™ capabilities. This new feature focuses on Geo Tagging, by extracting geographical locations found in-text.

AI brings new methods for insights analytics solutions and reduces the intensity of labour for your team members.

With AI and unstructured data at play, the category will focus on two main areas: Customer Listening and Customer Engagement.

Our chief data scientist shares her thoughts on summarisation, answering some of the burning questions on this exciting discipline of information management.

AI provides Back office Automation solutions by using NLP and Machine Learning systems to uncover the portion of data that RPAs cannot reach.

AI recommender engines find, extract, sort and make sense of data, then match the results with your customers profiles to serve relevant products or content.

In this post we would like to share our journey and the the lessons learned when we set out to extract those four content types. Finally, we present a short evaluation of our extractor's performance.

We've been recognised as Top Development Agency by Clutch. It's an honour to receive this recognition thanks to our amazing clients.

Demand and supply gap for Data Scientists in US and UK in 2019. Here are the benefits of outsourcing AI and Data Science projects for scale-up businesses.

CRISP-DM and TDSP are methodologies used to run Data Science teams. These methodologies are built on industry's best practices to deliver quality results.

AI technologies are revolutionising the traditionally complex and expensive drug discovery process. Integrated into all stages from target identification to clinical trials, AI offers faster and more cost-effective drug development, despite challenges like data quality and ethics.

Unlock the future of healthcare with the synergy of AI and medical expertise. Better understand why healthcare professionals resist AI and how to build trust. Learn how multimodal data like medical imaging and natural language processing can revolutionize patient care.

Deeper Insights' AI solutions are playing a vital role in enhancing Life Cycle Assessment (LCA), particularly in managing complex Scope 3 emissions. By automating data extraction and analysis, AI streamlines the LCA process, allowing businesses to understand their ecological footprint, comply with emerging regulations, and make informed sustainability decisions.