The integration of machine learning models into healthcare analytics is poised to revolutionise the industry. By enhancing predictive accuracy, optimising resource utilisation, and improving clinical outcomes, these advanced technologies are making a significant impact. This synthesis explores the myriad applications and benefits of machine learning models, particularly language models, within the healthcare sector. 🌟🩺
Machine learning (ML) has emerged as a powerful tool for predicting the onset of lifestyle diseases, which are often linked to unhealthy habits and behaviours. These diseases include diabetes, heart disease, chronic kidney disease, and others.
By leveraging large datasets and advanced algorithms, ML models can provide early warnings and personalised risk assessments, potentially improving patient outcomes and reducing healthcare cos
Machine learning (ML) has emerged as a powerful tool for predicting the onset of chronic diseases such as obesity, type II diabetes (T2DM), and heart disease. By leveraging large datasets and sophisticated algorithms, ML models can identify patterns and risk factors that traditional methods might miss, thereby enabling early intervention and personalised treatment plans.
The integration of machine learning models into corporate wellness programs is transforming how companies manage employee wellbeing. By enhancing predictive accuracy, optimising resource utilisation, and improving overall health outcomes, these advanced technologies offer significant benefits.
In the digital age, health platforms are increasingly turning to advanced technologies to enhance patient care. One of the most promising advancements is the use of natural language processing (NLP) models. These models are poised to revolutionise how we manage obesity, pre-obesity, diabetes, and pre-diabetes by changing behaviours and improving health outcomes.
In recent years, a remarkable scientific discovery has been quietly revolutionising our understanding of human health and nutrition. Hidden within our gastrointestinal tract lies a complex ecosystem known as the gut microbiome, teeming with a vast array of microorganisms that play a pivotal role in shaping our overall well-being.
To deliver exemplary user experiences within the confines a chatbot requires not viewing data as just a by-product of the apps, but a critical feature that enables organisations to identify the goals of visitors to their platforms, apps and websites.
What are users’ goals, and how do you leverage chatbot data in a way that helps them take action, make decisions and achieve their goals?
A key success factor for chatbots and natural language user interfaces is how well they can support user needs in the conversational process seamlessly and efficiently.
The weather affects 70% of companies globally, with weather variability costing more than €560bn in Europe. And an estimated US$2 trillion worldwide for businesses operating in retail, consumer goods, apparel, transportation, utilities and food processing.
Climate change will make the winters in the UK wetter and the summers more prolonged and extreme. According to weather ads, in the USA 33% of business activity is sensitive to weather fluctuations.
Analysis of online transactions across a multitude of devices and social media channels, industries and product categories in any part of the world. Demonstrate a significant shift to the online activity by veterans of the internet and first-timers.
56% of Gen Zs reported more online spending, the increase is also driven by older consumers, with the largest increases occurring amongst Gen X (60%) and millennial cohorts
According the World Health Organisation (WHO) counterfeit drugs are estimated to have kill 250,000 children a year. With an estimated 1 million adults suffering a similar fate. Counterfeit drugs have also contributed to an increase in drug resistance in treating serious global diseases.
Counterfeiting is a high-volume high profit business the poses health risks, infringes on intellectual property rights, medicines legislation and other aspects of criminal law. Indirect impacts are loss of revenue for pharmaceutical companies, brand damage and decreased public confidence.
Data is being created and transferred at an unprecedented rate, fuelling the growth in business intelligence and analytics BI&A. Primarily for the discovery of opportunities to optimise supply chain collaboration, improve supplier and customer ecosystems and the development of new product and services.
Potential buyers of retailer's data include direct suppliers, data aggregators, analytics service providers, and even competitors. Three major trends are enhancing the potential for data monetisation in the retail space, Big Data, BI&A, and the cloud.
The global market for data monetisation is forecasted to grow from US$1.26bn in 2017 to US$3.12bn by 2023. At a compound annual growth rate (CAGR) of 17.1% during the forecast period according to market and markets.
Data monetisation is a strategy adopted by organisations to create additional revenue streams from the discovery, capture, storage, analysis, dissemination and use of said data. Gartner research defines “Data Monetisation” as the process of using data for quantifiable commercial benefit. Data may be sourced internally or externally to create maximum value. Download our document titled “Are you exploiting the Data Dividend?”
The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.
Near – field communications, real-time localisation and embedded sensors turn everyday objects into smart objects that can understand and react to their environment.
There are a total of 325,000 mHealth apps available worldwide, in various app stores, with an estimated 3.7 billion downloads in 2017. The number of downloads in 2010 was 200 million an increase of approximately just over 1800% over 7 years.
mHealth apps widen access to healthcare information and have fewer temporal (what does this mean?), geographical and organisational barriers.
Companies with online platforms in social media, healthcare, finance, travel, hospitality, and education, have built business models, that enable the monetisation of data. Through the leveraging of proprietary technologies, network effects, and the exploitation of economies, of scale and scope. From the massive amounts of online users generating behavioural data.
The next stage in data monetisation will focus on leveraging devices as machines to harvest user data to create insights that can be deployed in -house or sold to third parties.
An app users’ intention to pay is determined by perceived value, a comparison of the benefits and sacrifices and the trust of the developer. Perceived value is influenced by perceived effort, and perceived usefulness.
Perceived value enhances the consumer switching intentions, by lowering sacrifices and increasing interest, and cognitive locking indirectly reducing the switching intentions, by influencing perceptual benefits positively and perceptual sacrifices negatively.
The current cost of developing a new drug is approximately US$2.5b. This number has been steadily on the rise, nearly doubling every nine years. According to Frost and Sullivan AI has the potential to improve outcomes for medical imaging and diagnosis process by 30-40% and reduce costs of treatments by as much as 50%, with a greater impact on patients as a result of earlier diagnosis.
We are migrating to a world that is being transformed fundamentally from and analogue, to digital to a data-driven world. The Blockchain is the next major infrastructural layer of the internet. Blockchains are the fundamental new architecture for data, identity, and financial transactions.
This transformation encompasses all societal systems, such as traffic, healthcare, government, and supply chains. It is enabling these systems to be quantified, drive efficiency, remove opacity and complexity across a myriad of industry sectors.
In fact, a World Economic Forum survey suggested that 10% of global GDP will be stored on the Blockchain by 2027.
The blockchain is a distributed database of records or public ledger of digital events or transactions of virtual currencies. That is executed and shared across a large network of untrusted participants.
In other words, it is a continuously updated record of who holds what. The records are split into linked blocks and secured using cryptography through maths and code. Automated trust is achieved via smart contracts, that are held on a distributed ledger.
The Competition and Markets Authority decided to use Open Banking as the vehicle to drive competition in retail banking. The CMA was mandated to establish the Open Banking Working Group (OBWG) to deliver an open standard for Application Programming Interfaces in UK banking.
With the following objectives; to aid customers in controlling their data and create an environment where financial technology companies (FinTech’s) or businesses make use of bank data on behalf of customers in innovative ways.
