Blog posts

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.

How AI reshaped my marketing workflow at Deeper Insights, streamlining podcast production and copywriting.

The fusion of Natural Language Processing and Computer Vision, driven by transformer architectures and attention mechanisms, is revolutionizing artificial intelligence, enabling deeper contextual understanding across text and images, and promising transformative applications in various industries.

Great benefits can be achieved by starting an AI project, however, there are important and undiscussed things to consider before starting an AI project.

Here is a guide on how to manage your AI projects. Make sure your AI project moves from a Proof of Value to Production.

Four main overlooked areas of competitive intelligence which we believe there is a great value in applying AI. Learn about AI-driven competitive intelligence.

Data ethics can be a competitive edge for your business. Data ethics can retain skilled workers, protect your company from legal actions and negative publicity.

In an age of mass-information sharing, businesses that have access to web surveillance can instantly sample the emotion and feelings of millions people around the world.

Gain vast and competitive alternative data sets to power your business, trades and decisions with AI systems from unstructured data.

Deep learning has dramatically improved the performance of computer vision systems, and this has translated into improved performance for disease detection.

Healthcare is being disrupted by AI and big data and deep learning have long passed into the social discourse of non-AI practitioners, and have made many promises which are on the verge of being kept.

Why AI is the answer to unlocking unstructured data and becoming a truly data driven business.

Clutch Honors Deeper Insights as a 2021 Global Leader in the AI Development Space.

Competing effectively in a digital economy that is constantly evolving is challenging. The post pandemic workplace has shifted, consumer expectations have altered, and spending habits have moved online.

On 16 March 2022, Deeper Insights founder and CEO Jack Hampson delivered the webinar 'Transforming healthcare using AI - How to move from ideation to a more scalable AI solution' alongside guest speaker Darren Wilson from Smith & Nephew. This article is a summary of the topics covered.

Education will be a $7T global industry by 2025. Changing learner habits and the explosion of online education approaches means traditional learning models are being disrupted. The emergence of specialist digital only challengers offering fast tracked routes to...

The world has seen over a decade of modern Artificial Intelligence (AI) being used in multiple ways from detection, prediction, matching and recommending and it continues to be one of the most talked about topics on the technological landscape.

How hard is it to find a specific picture in your smartphone gallery when you have billions of them, they don't have captions, and you don't even remember the date to help you with the search? A long time I would presume. But what if you could...

At Deeper Insights we solve our customers' impossible problems using the transformative power of AI. In recent years AI has grown to a new level of maturity, one which enables more accessibility and capability than ever before. However, AI is...

Experiment tracking is simply the process of saving all experiment information for each and every experiment you run. That means saving what kind of model you used (or the model itself), what data it was trained/tested on, the training parameters...