Category Archives for "Technology"

What Is Home Automation & Is It Secure?

What Is Home Automation & Is It Secure?

Smart technology is booming.  Smart homes ie home automation is becoming increasingly popular with people investing more and more into automated technology.

It’s getting to a point where everything can seemingly can be automated and controlled by an app.

This post will be discussing what home automation is and whether or not it is safe to use.  After all, anything that is smart can technically be hacked… including your kettle!

What is home automation?

Also referred to as domotics, home automation is, as the name suggests, building automation for a home.  Machine learning and data mining play an important role in most home automation systems.  It helps to predict user activity.

The process involves hooking up the device with internet in order to be activated.  The modern systems are controlled by mobile phones, computers, tablets or off-site systems that have access to the internet.

Although not usually linked with home automation, early forms include the invention of the washing machines, refrigerators, dishwashers and tumble dryers.

Nowadays, most home automated systems are being controlled by apps.   Examples include:


This is the area where most smart home technology is being developed.

Home security applications like the Nest are one form of home smart security applications, ranging from cameras to alarms.

Some of the applications can be programmed to recognise the homeowners face so if there is an intruder and the camera picks them up, the technology will know that the person is not a friendly face.

Updates can be sent to the user’s mobile phone via the application to give them all necessary notifications in real time.

Light and heat

Hive are a company that specialise in providing smart heating and lighting to someone’s home.

The user simply attaches the hub to their boiler or heating system which is then controlled remotely by the user’s phone.  They can then set the remotely temperature to their desire.

The same process works for the lighting.  You simply insert a light bulb into the socket and then control it via the mobile phone app.

Home entertainment

I’m sure you’ve heard of the term smart TV by now.  It’s the latest buzzword all over the adverts.

This means that a television can be connected up to the internet meaning that a user can browse the web, on demand catch up TV and access online streaming services like Netflix.

The software is loaded into the TV’s operating system and available through the application, similar to accessing apps on a smart phone.

This same techonolgy can also be found on games consoles, DVD and Blu-ray players.

Kitchen appliances

Kitchens are getting increasingly ‘smarter’.  Technology is advancing so that ordinary appliances can be connected to the internet to provide an even easier use.

Refrigerators are becoming automated.  Smart refrigerators let a user see the contents of their fridge on their mobile device.

Home automation can also be used by radios or television units by connecting them to the home WiFi.

You can now even buy smart kettles.

A user can control the exact temperature they want their water to reach when boiling.

All from the convenience of a mobile phone application.

Of course all these examples have one thing in common: they are all intended to make life that much easier to things you do every day.

Even the kettle!

With all this technology however, there are a lot of concerns.

Is home automation safe?

There are a few common questions that crop up:

Can all this technology be hacked?  Will it work when I need it the most?  Will it turn on by itself?

Considering a lot of smart technology that is being developed is being used in the security business, it’s pretty important that the answers to these questions can put to bed any fears people may have.

To sum it up as simply as possible: home automation is safe.

Connecting all your security equipment and other appliances up to the internet is safe and secure.  The data that is shared between your device and the internet is encrypted so even if there is a breach, an intruder can’t do anything with it.

As long as your internet passwords are strong, it is unlikely that anyone can get access to your network in the first place.

Stay secure

Here are a few tips to keep in mind if you have or looking to installing any smart technology in your home:

  • When setting up your new or existing devices, change the default password to something memorable that only you would know.
  • Use a different password for each different device and keep them on a need-to-know basis.  If you only use a single password for everything and there is a intrusion, the hacker can access everything.
  • Include a combination of at least an uppercase letter, lowercase letter and number in each password.
  • If you haven’t got one already, make sure your phone has a password or some sort of security on the lock screen.  All your apps can be accessed on this one device so keep it secured.
  • Install all updates that are available.  Most updates will always include some sort of security upgrade to keep you as safe as possible.

All these are simple to follow and easy to implement straight away.

Keeping your network and devices is the most important thing to do when integrating automation into a home.

Once you have done all these, you will be secure and enjoy the many benefits of smart technology in your household.

A smart home is a very efficient way of living in modern society.  They are very convenient and make usually easy tasks, such as flicking a light switch, effortless.

Just bear in mind how many devices you really need to connect to your network.

Do you really need that kettle to tell you the exact temperature your water is at?  Pick only the equipment and appliances you really need to access the internet and you will be less vulnerable to potential breaches.


Mental Health Week – AI’s Developing Relationship with Mental Health Solutions

AI’s Developing Relationship with Mental Health Solutions


Mental health is something which society has come to recognise as an important issue, with this year’s recent Mental Health Awareness Week just one of many vital initiatives. One of the less common words mentioned in the broader conversation is the role of technology and more specifically, AI. Yet, take a closer look and you will find that the relationship between mental health and AI is only growing.


Just one area that this is most apparent within, is that of early detection. We know that early detection is of crucial importance to the prompt and successful treatment of patients. Detect markers that indicate a high probability of cancer at very early stages is already an easy task for AI. With voice technology becoming a household reality, it now has the unique capacity to analyse complex data and establish patterns in our speech, where even highly skilled doctors cannot. This presents real potential for AI to provide tell-tale signs of early-stage developmental disorders, mental illness and degenerative neurological diseases and consequently, help doctors and patients better predict, monitor and track these and other related conditions.


This does not mean that diagnosing patients has to be left solely to AI. Rather, the technology can become an important tool alongside health professionals and most importantly, by aiding early diagnosis, it can save lives.


With 1 in 4 people experiencing mental health problems, mental health has become the single biggest cause of disability in the UK. This has consequences for individuals and business; 12.5 million work days are lost every year because of stress, depression or anxiety. In 2017, NHS England spent £9.7 billion on Mental Healthcare. According to IBM Research, the global cost of mental health conditions is set to surge to a phenomenal 6.0 trillion US$ by 2030. Another valuable aspect of AI, therefore, is its potential to remove the fear of judgement and reduce the perception of social stigma. These are still common barriers for people seeking professional help.


Integrating AI into mental health solutions has become both an exciting and important field within health, with developments in technology across the world. In Australia, Simon D’Alfonso of The National Center of Excellence in Youth Mental has developed the Health Moderate Online Social Therapy (MOST) project.


A multidisciplinary group of scientists from Australia and China are also leading a virtual counsellor program. Here, the virtual counsellor takes the place of a psychologist and offers both advice and support alongside stress management. Meanwhile, UK Researchers from Harvard University and their colleagues at the University of Vermont have successfully combined machine learning tools and Instagram to improve depression screening. Using indicators such as colour analysis, metadata, and algorithmic face detection, they have achieved 70 percent accuracy in detecting signs of depression. Previous studies solely involving GPs have resulted in 42 percent accuracy.


AI tools are also creating new treatment protocols. One of these is Woebot. Woebot is an AI-based chatbot app designed by Alison Darcy, a clinical psychologist at Stanford. It offers users cognitive-behavioural therapy (CBT). Unlike traditional clinical therapy, it is available whenever someone needs it. The benefit of Weobet is that it can, therefore, widen access to such therapy and in doing so, remove some of the barriers to seeking help while building conversational (and emotional) intelligence as they learn from their patients.


With these developments, AI is set to become an integral part of mental health solutions.

Artificial Intelligence and Smart Production in Factories

Artificial Intelligence and Smart Production in Factories

We are on the brink of a fourth industrial revolution which will change the way we use and consume everything from cars to shoes.

(4-minute Read)


Modern consumers are pickier than ever. We all want customised, personalised and unique products and prefer local, smaller producers over large-scale manufacturers as well as requiring them to be cheaper than their mass-produced counterparts. Therefore, factories power plants and manufacturing centres across the globe must turn to Process Automation, Machine Learning, Computer Vision and other fields of AI to meet rising consumer demands, ultimately transforming the way in which we make, move and market anything.

The first three industrial revolutions made mechanisation, mass production and automation what is now considered as mainstream amongst today’s production methods. Now, more than half a century after the first robots worked on production methods still being used today, Artificial Intelligence and Machine Learning are shaking things up again.


So, what is Artificial Intelligence currently capable of?

Artificial intelligence is just now finding its niche in manufacturing with production line managers discovering that applications consisting of AI algorithms are able to make complex decisions on an instant real-time basis – something no human employee could possibly be capable of. With AI’s future becoming ubiquitous, the future of Artificial Intelligence in manufacturing is already becoming a staple within emerging markets through their unrivalled sensory abilities, capabilities; not just on the factory floor, but also predicting what will be needed and when.

AI is essential for survival. Innovative manufacturers already use various types of artificial intelligence to tackle many of their challenges. The next few points will assess the ways in which the ‘industrial revolution 4.0’ is shaping trends in smart factories such as data exchange, predictive maintenance and adaptive manufacturing. So what really are the key benefits AI offers to manufacturing organisations?

Informed Decisions

With the right foundations in place, manufacturers will be able to monetise AI, making informed decisions at each stage in the production process in real-time.

Demand-Driven Production

Lost revenues (either in the form of stagnant inventory or lost sales) can derive from overestimating or underestimating consumer demand. Real-time demand visibility can be achieved by connecting consumer apps and IoT with industrial IoT – developing a proactive rather than reactive environment. With the rise in the popularity of products such as Google Home, Amazon Echo and the Apple HomePod, consumer trends and behavioural data can inform downstream supply chain and manufacturing activities


Sensors are able to spot defects amongst products on the production line as well as throughout the production process. This data is then uploaded simultaneously to the cloud so that it can be verified, immediately removing the defective part and order a replacement. These faster feedback loops allow manufacturers to overcome obstacles such as low yield.


As AI’s use cases are constantly evolving and expanding, Artificial Intelligence will become pivotal in all areas of an organisation from fraud prevention to predictive ordering and opportunity assessment; all of which bring time productivity and cost benefits which can be passed onto the customer.

Powerful Insights & Cost Saving

With the ability to have real-time problem-solving, manufacturers could potentially solve millions of pounds in recalls, repairs and lost business. These intelligent insights have the potential to produce powerful information and have the ability to turn them into tangible outcomes.


Future Trends and Developments

With AI gradually being implemented into more and more organisations and steadily being considered as ‘mainstream,’ a sense of trust and dependability will surface, bringing a level of intelligence that becomes mission critical to industries.

Manufacturers are building their own technology foundations through the use of this technology due to its proven cost-effective implementation and guaranteed efficiency. The advancement to de-centralised Artificial Intelligence – where AI solutions can ‘speak’ at every level of the supply chain from customers through to vendors, data sharing and decision-making. This in effect will be performed immediately and instantaneously whereas it would have taken teams of people days and weeks to replicate.

With emerging technologies (Blockchain, Augmented Reality and AI) coming to the fore, inevitably, the convergence of these trends will happen promptly, meaning that manufacturers should look to embrace the direction of the manufacturing process and invest in these smart technologies in order to gain a competitive advantage whilst taking a cost-effective approach – disruptors stand to gain the most from these new and exciting technologies.


Key Takeaway for Manufacturers in any field

With data being the core ingredient for AI, big data, machine learning and computer vision working in tandem with complementary technologies such as 3D printing and IoT, will enable the modular manufacturing required to meet rising consumer needs.

Order-driven production not only enables dynamic supply chains, but it also reduces any manufacturing waste. Manufacturers are able to leverage real-time digital platforms connecting consumer and industrial data to configure the assembly of products on an ad hoc basis. With the ability and flexibility of having production lines quickly reconfigured, they will be cost-effectively and be able to create new, unique products, in which both the consumers and the manufacturers benefit.


For more information on how ARTIMUS can help implement Artificial Intelligence solutions into your manufacturing plant or production line, please contact us on 02920 099 610 or via email at


ARTIMUS is a Bespoke Solutions company based in the South West region of the UK. They Specialise in Artificial intelligence solutions and pride themselves on being able to provide the best, highest quality development and project management services that you can find on the market. Their mission statement is to “Focus on innovation: we want to create unique, outstanding technologies that will help us get one step closer to the simplest future possible. We are fully committed to bringing in artificial intelligence and multi-use solutions that work for companies all over the globe.”

How is Artificial Intelligence revolutionising the Medical Landscape?

How is Artificial Intelligence revolutionising the Medical Landscape?

AI is improving our healthcare and quality of life by giving us the opportunity to create highly-specialised personalised medicine like never before and aid in the research and prevention of diseases.

(4-Minute Read)


Imagine contracting an illness and yet being able to receive an accurate diagnosis alongside a recommended treatment plan in just 10 minutes with minimal consultation times between patients. Sounds like something that can be done in the future, right? Well, this is actually happening right now with the help of Artificial Intelligence (AI).

AI has the ability to learn from every single bit of data it is exposed to and rapidly re-evaluate its analysis as more and more data is compiled. This grants doctors and researchers with the ability and possibility to accurately identifier misnomers, subsequently, providing us with better solutions to our health problems.


So, how exactly is AI contributing to the prevention of Illness?

Artificial Intelligence is not just limited to analysing traditional data from spreadsheets – as is commonly perceived. AI has the function of interpreting and aggregating imaging, text, handwritten notes, speech, test results, sensory data and even cross-reference and analyse large amounts of demographic and geo-spatial data. Through this, AI is able to identify commonalities and produce insights which were previously impossible with data silos or the extent of time needed for humans to individually examine large datasets.

With the ability to simultaneously cross-examine and analyse, AI is able to consider what could have been described as seemingly unrelated external factors which doctors and researchers may not consider as relevant at the time. For example, environmental factors such as humidity, pollution, elevation, agriculture and proximity to certain dense mineral deposits (such as: AI in the medical research sector has identified that continuous exposure to erionite found in gravel in some parts of the world increases the risk of contracting mesothelioma). This ability to rapidly analyse data and potential correlations have allowed us to create a data-driven comprehensive and holistic insight into a person’s health along with all their factors considered.


How is Artificial Intelligence being used today in the medical industry to anticipate and contribute to future prevention?

Organisations such as the Institute of Cancer Research in London and The National Cancer Institute in the USA are developing Artificial Intelligence frameworks which aim to enhance and contribute to exponential growth within cancer research. With the help of these intelligent frameworks implemented in their research, AI leverages, studies and extracts millions of patient records autonomously and simultaneously on a constant basis with the goal of understanding how cancer spreads and reoccurs – a prime example of AI being used to analyse large amounts of data within the medical sector which allows doctors to draw quick conclusions.


A study found in the Neurobiology of Ageing concluded that with the help of AI, intelligent software could be able to detect signs of Alzheimer’s in patient’s brain scans before doctors. Currently, AI frameworks are being used to analyse scans of healthy brains alongside brains diagnosed with Alzheimer’s so that intelligent systems are able to continuously learn and identify the telling systems of the disease.



AI will ‘design’ specialised medication in an instant

Increasing advancements in the development of Narrow Artificial Intelligence has allowed these intelligent technologies to revolutionise industries. The impact this has had has been significant throughout the medical industry as explained above, particularly on medical imaging, radiology and scanning, but the technology has far greater potential to achieve a much more comprehensive transformation in healthcare.

Let us look at pharmaceutical supply chains for example. AI solutions could potentially alter the traditional process of designing drugs. Intelligent systems are able to reduce the drug production circle, therefore, helping pharmaceutical companies discover new and more effective drugs without the burdening trials as well as achieving a significant reduction in accumulating costs.

The ‘traditional’ and current drug discovery and production method consists of a ‘trial and error’ process which can take up to 12 years and nearly £1.15 billion to bring a new effective drug to the market. It should also be taken into account that many of these drugs fail the rigorous testing methods which means that there are only very few experimental drugs that ever see the medicine cabinet – a huge inefficiency for the medical industry on precious time and resources which could be used elsewhere for other research areas.

Thanks to Artificial Intelligence, smart algorithms use the power of intelligent systems to teach themselves (click to see Machine Learning for more info) complex biochemical principals and the factors that are ultimately the most predictive in relation to the effectiveness of a drug. With this technology present, it could transform the way we analyse hundreds of millions of molecules and their interactions, whether it be linear or non-linear, on a simultaneous basis. Companies in the medical sector are continuously implementing Artificial Intelligence solutions to design personalised drugs and treatments faster than any form of traditional healthcare, with the goal of improving the current treatment process and overall quality of life through the discovery of the best possible medication.


For more information on how ARTIMUS can help implement Artificial Intelligence solutions into your business strategy, please contact us on 02920 099 610 or via email at


ARTIMUS is a Bespoke Solutions company based in the South West region of the UK. They Specialise in Artificial intelligence solutions and pride themselves on being able to provide the best, highest quality development and project management services that you can find on the market. Their mission statement is to “Focus on innovation: we want to create unique, outstanding technologies that will help us get one step closer to the simplest future possible. We are fully committed to bringing in artificial intelligence and multi-use solutions that work for companies all over the globe.”

AI & Humans Are Collaborating To Redefine The Way We Work



AI is undoubtedly shaping our future within the world of work. There is a new realm of possibilities which can be achieved with this match made in heaven.

4-Minute Read

Ever since the industrial revolution, businesses are bringing forward ideas which leverage the newest technology to augment human workers in order to streamline efficiency and productivity whilst cutting unnecessary costs. You may be thinking that Artificial Intelligence may indeed make us redundant, but the reality is, that this is most probably not the case. Although, thanks to the recent advancements in AI, we can now retrospect a different working environment to one that we have become accustomed to. So, what does Business Process Automation (BPA), Machine Learning (ML) and Artificial Intelligence (AI) propose and mean for tomorrow’s workforce? The reality is that the future workplace will likely involve hybrids which involve both human and machine intelligence working in harmony towards achieving common business goals.

Shaping The Way We Work

Automation isn’t a relatively new ground-breaking concept – it’s been around for over a hundred years. There are many areas in the workplace where monotonous tasks can be permanently shifted from human employees to intelligent learning software so that work can be completed faster and eliminating the risks of any human error. Subsequently, this improves overall efficiency levels, leading to a better bottom line for the organisation as a whole. Due to the increases in the output of the quality of work, service levels are also seen to take a positive hit – so in theory, everybody wins. However, automation powered by Artificial Intelligence has taken this relatively basic concept to an entirely new level. This form of intelligence doesn’t just involve programming a machine simple tasks as is often the assumption. Rather, it is about relying on technology which is ‘smart’ enough to learn and adapt over time without the need of any human input. Let’s take chatbots as an example; a technology which is capable of using continuous data gatherings from customer inquiries to develop a robust catalogue of answers – the more it is used, the smarter it becomes.

Adapted Job Roles

The truth about technology being implemented in our workplace is that Business Process Automation does in fact adapt and create new roles and opportunities for us human workers to pursue. The reality is that there are certain areas throughout the business where technology simply cannot replicate ‘human touch’ – no matter how far the intelligence of the automation, it is something which cannot be replaced. For instance, a chatbot can be programmed to perform basic customer support, although it is not ‘intelligent’ enough to manage complex situations. To break this down even further, let us look at employers. Intelligent Automation could be very effective and efficient in identifying the ideal candidates for a job opening, but the actual hiring process is still and will be a human-centric function.

Humans & Technology in Harmony

Rather than technology and humans working independently, the two should be working together towards achieving the greater good for the organisation. Ideally, the best way to approach this AI overhaul in businesses is to view it from a more holistic perspective. For instance, Process Automation can be leveraged to handle the majority of mundane and repetitive tasks whilst seamlessly transferring more complex issues to human workers – this enables an ideal standard of work. Executives then use this information to make strategic data-driven decisions, project and plan for the future whilst the machines handle the data mining process, identifying and extracting the most relevant data available. Ultimately, this facilitates businesses achieve greater innovation, hence, those who adopt an AI approach will lead the charge in their respective fields.

Redefining Work

Artificial Intelligence is continuously evolving, growing and being increasingly implanted into our day-to-day lives. The main aim of organisations which apply these technologies is to improve their workforce’s efficiency, make tasks more enjoyable and make the lives of their employees much easier. With intelligent technologies becoming smarter, more and more tasks will be carried out through AI-related technologies. Studies indicate that by 2022, many tasks of businesses involving lawyers, doctors, medicine and IT will be handled by intelligent technology. With our experiences working with many service professionals, we can confirm that this is the direction that will improve everyone’s quality of life and satisfaction within their respective fields as well as by improving their quality of service like never before. This doesn’t necessarily mean that there will be certain unemployment for those working on the front lines. 79% of executives were surveyed saying that they expect an increase in new jobs with the adoption of business automation. Furthermore, 94% of executives said that there will be a significant increase in demand for roles which demand soft skills such as communication, creative problem solving and collaboration. Ultimately, the way we work is changing and this reality is what allows us to adapt and evolve as people. For those who welcome artificial intelligence and all of its intelligent subfields and opportunities it presents, the future certainly looks exciting and filled with innovation in a continuously fiercely competitive and updated business landscape.


For more information on how ARTIMUS can help implement Process Automation into your business strategy, please contact us on 02920 099 610 or via email at



ARTIMUS is a Bespoke Solutions company based in the South West region of the UK. They Specialise in Artificial intelligence solutions and pride themselves on being able to provide the best, highest quality development and project management services that you can find on the market. Their mission statement is to “Focus on innovation: we want to create unique, outstanding technologies that will help us get one step closer to the simplest future possible. We are fully committed to bringing in artificial intelligence and multi-use solutions that work for companies all over the globe.”

You interact with artificial intelligence on a daily basis and you don’t even know it!

You interact with artificial intelligence on a daily basis and you don’t even know it!


AI is everywhere! If someone came up to you and said that you’ve spent all day interacting with artificial intelligence, you’d probably try and recall any potential instances of accidentally running into a robot.

5-Minute read

AI comes in many forms, shapes and sizes – some of which may surprise you. Not only has artificial intelligence been made mainstream within a number of industries, but it is also allowing us to streamline our businesses and optimise our lives. From social media to public services, we are all coming across some form of AI every single day and it may surprise you on how broadly it is being incorporated without us even taking notice.


According to a 2015 report by the Texas Transportation Institute at Texas A&M University, commute times are steadily climbing year-on-year, resulting in over 42 hours of rush hour traffic delay per commuter in 2014 – more than a full work week per year carrying an estimated $150 billion loss in productivity. This presents a valuable opportunity for AI technologies to be implemented in order to create a tangible, visible impact in everyday life.

Reducing real-time commute times for each individual person, 24 hours a day and 7 days a week is something a human being is simply not capable of. A single trip may involve multiple transportation methods (i.e. driving to the train station, taking the train and using ride-share services to get to your final destination), not to mention the expected and unexpected events which constrict traffic flow: traffic, road works, accident, diversions and weather conditions. Here is how you interact with AI:

1) Google’s AI-Powered Predictors

By using anonymised location data from smartphones, Google Maps can analyse traffic flow at any given moment in time. Not only that, but with its acquisition of crowdsourced traffic app Waze, Google Maps can easily incorporate user-reported traffic incidents. The access to these vast amounts of data being uploaded into its proprietary algorithms results in Google Maps diverting and warning you beforehand about any unexpected incidents to ensure your commute remains efficient.

Transport and AI2) Ridesharing Apps (Such as Uber and Lyft)

Ever wonder how these apps determine the price of your fare, reduce wait times and how they pair you with other passengers to minimise detours? Thank Machine Learning (ML). It is what allows us to create such efficient transportation services available at your fingertips.

Jeff Schneider (Uber’s lead engineer) discussed how the company uses ML to predict the rider demand which ensures that the “surge pricing” (short periods of sharp price increases to decrease rider demand and increase driver supply) is relative to the supply and demand of passengers and drivers. Not only is machine learning used in Uber’s taxi systems, it is also used for ETAs, determining optimum pickup locations and fraud detection within its payment services.

3) AI in commercial flights

A surprisingly early use of AI technologies which dates as far back as 1914 comes from the autopilot systems used within the aviation industry. The New York Times reports that the average flight of a Boeing plane involves only seven minutes of human-steered flight, which is typically reserved only for take-off and landing.


Banking and Personal Finance

Machine learning is playing an integral role in the many phases of the financial ecosystem which range from loan approval, asset management and risk assessments. There are now more uses for machine learning in the banking and finance sector than ever before which is made available by the SMART technologies we create.

1) Mobile Banking

Most banks now grant you the ability to deposit and transfer cheques and funds via their smartphone and web apps – eliminating the need for us to physically go to the bank. According to the Security and Exchange Commission, the vast majority of banks now heavily rely on AI and ML technologies to decipher and convert handwriting on cheques into text via OCR in order to ensure authenticity and prevent fraudulent activities.

2) Fraud Detection

Due to the volume of financial transactions being far too high for humans to manually review each transaction (correlated to the popularity of online banking and fast payment systems), AI and neural networks are implemented to work in conjunction; learning what types of transactions are fraudulent via specific algorithms. This works by detecting factors which affect the neural network’s final output such as transaction frequency, size and parties involved.

3) Credit Decisions

Every time we apply for a loan or credit card, financial institutions quickly determine whether they accept or decline our application to be entitled to access their services. Their use of AI and ML technologies essentially determines your credit and risk scores, ultimately influencing interest rates and credit amounts for each and every individual customer. MIT researchers found that machine learning could be used to reduce a bank’s losses on delinquent customers by up to 25%.


Social Media

So how do we interact with artificial intelligence through our social media? The truth is, AI is what helps our everyday user experiences on social media platforms get better. The development of deep learning technologies to sort through large amounts of data helps adjust the platforms’ suggestions, news feeds, trending topics, hashtags and even tagging your appropriate friends in photos – all without spending too much manpower in data analysis.

1) Facebook

When you upload your photos to Facebook, the platform automatically detects faces and suggests tagging the people in it. How does Facebook do this? Well, Facebook uses AI and neural networks to recognise faces and power the facial recognition software. Their use of AI doesn’t stop there. Facebook also uses AI to personalise your newsfeed, ensuring that you see posts which match your interests and from paid advertisements. Better targeted ads mean that you’re more likely to purchase something from these advertisers because of your matched interests, avoiding ads which are not relevant to you.

2) Instagram

Instagram uses machine learning to identify the contextual meaning of emojis which have been steadily replacing slang (for example, a laughing emoji could replace the word “lol”). By algorithmically identifying the sentiments behind emojis, Instagram can create and auto-suggest emojis and emoji hashtags. Although this may seem like a trivial application of AI, Instagram has seen a substantial increase in emoji use amongst all demographics, therefore, being able to understand and analyse this emoji-to-text translation at a large scale sets the basis for further analysis on how people use Instagram.

3) Snapchat

For those not familiar, Snapchat introduced their facial filters back in 2015. These filters tracked facial movements, allowing users to add animated effects and digital masks which adjusted when their faces moved (similar to Apple’s animoji concept). So how does this work? The filters are powered via machine learning which tracks movements in real-time video which allows us to interact and personalised our “selfies” in ways never before imaginable.


To wrap it up

Data Modelling ConclusionWe have just scratched the surface of the abundance of AI, ML and neural networks encountered in our everyday lives. Many industries still form a greater habitual interaction with artificial intelligence far beyond what’s explored in this article. But AI doesn’t necessarily have to be limited to corporate uses. AI can also be applied to activities such as our own hobbies. For example, casual chess players are now using AI-powered chess engines to analyse their games and practice custom tactics. But it doesn’t stop here. Bloggers often use their ML optimised mailing lists to optimise reader engagement and open rates.

As you can see, AI is developing an important role in our current and future lifestyles. Without it, arguably, we would feel a bit lost seeing as so much of these technologies are implemented into our daily activities.




ARTIMUS is a Bespoke Solutions company based in the South West region of the UK. They Specialise in Artificial intelligence solutions and pride themselves on being able to provide the best, highest quality development and project management services that you can find on the market.

Their mission statement is to “Focus on innovation: we want to create unique, outstanding technologies that will help us get one step closer to the simplest future possible. We are fully committed to bringing in artificial intelligence and multi-use solutions that work for companies all over the globe.”

To see how ARTIMUS can assist you with any of these services please contact us on 02920 099 610 or via email at


5 ways Artificial Intelligence can aid in the conservation and protection of our environment

5 ways Artificial Intelligence can aid in the conservation and protection of our environment

There is no denying mother earth is in a continual state of decline due to humanity’s constant contribution to pollution, forest destruction and climate change. Here is how Artificial Intelligence can help.

5-Minute Read


Artificial Intelligence Technologies are able to comprehend, reason and learn. Therefore in harmony with humans, AI could become an extremely important ally in the fight to protect our planet. The urgency in becoming a green (environmentally friendly) society has increasingly brought environmental sensing and mapping technologies into effective action. These methods have broadened the varieties and volumes of data collected on the environment.


IBM Green Horizon Researcher, Jin Yan Shao, sadly states how her son becomes extremely happy if he sees a blue sky. Shao believes a sight “so common for previous generations is currently a luxury in many cities”. Situations such as these have led Shao and numerous other scientists, citizen activists and businesses to rapidly join forces in an attempt to protect the planet for generations to come. With an increasing demand to track environmental issues, Artificial Intelligence Technologies can provide assistance in aiding these challenges.



5 ways AI can aid in the conservation and protection of our environment


Related image
1) Improving the preservation of natural resources

It is no secret that humans overuse all the resources provided by the natural world. However, it is also true that technology today is extremely advanced. Therefore by combining the use of satellite imagery, environmental sensors, Artificial Intelligence and machine learning, it is possible to reduce water usage throughout operations and precisely locate variables which contribute to better soil health.


2) Increasing availability of sustainable options

The topic of sustainable energy has always been one of much dispute. Whilst, in theory, it would solve an impeccable amount of environmental issues, in practice, there have been a lot more barriers than anticipated. For instance, sustainable energy is essentially the product of power received from the natural world, for example, wind, solar and tidal energy. Image result for technology farming illustrationTherefore the location of these renewable energy sources and the issues with weather forecast accuracy have created a large barrier to the widespread use of ethical power.

However, AI Technology is making sustainable energy easily accessible by providing improved product options for consumers. For example, through the use of progressive weather forecasting models based on machine learning, power companies are making reasonable progress in developing a more precise, computer-powered renewable energy forecast for wind and solar power.

3) Detecting pollution

One of the largest contributions to global warming is pollution. The National Geographic states that within the last 150 years, enough carbon dioxide has been pumped into the atmosphere “to raise its levels higher than they have been for hundreds of thousands of years”. A system using Artificial Intelligence Technology merged with advanced machine learning and self-organizing mesh networks are enabling establishments to identify causes of pollution – whether it stems from a methane leak or general air pollution, faster and more precisely. A system like this allows for more targeted mitigation actions that are beneficial for both businesses and the environment.


Related image4) Connecting AI with the road

Although technology advancements have been at an all-time high for some time now, AI may hold the key to the next level. If we focus on the automotive industry, we can see how due to smart features, vehicles of the 21st century have become extremely technologically advanced. However, this does not mean they have become more environmentally friendly. In fact, pollution derived from vehicles is among the world’s largest contributions to greenhouse gas emissions. The implementation of Artificial Intelligence in the auto industry will allow vehicles to get from A to B more efficiently and at a minimum time frame. Through these SMART systems, there will be a constant reduction of vehicles on the road, and therefore, a decline in carbon emissions.


5) AI and Farming

With a world that is on the brink of overpopulation, there is a sufficient amount of overconsumption. Due to this, there will eventually be a struggle for food production to be on par with high population rates. With the use of Artificial Intelligence Technologies, farming methods could become more efficient meaning an increase in production rates and a substantial reduction in wastage without harmfully affecting our environment.


So how is Artificial Intelligence being used to protect our environment?

Various companies have already incorporated different Artificial Intelligence Technologies into their day-to-day practices. Let us look at John Deere’s AutoTrac. It is a system which has been designed to “raise productivity by reducing input costs and boosting efficiency”. AutoTrac is capable of planting crops in a far more precise manner and also reduces overlap in agricultural processes, therefore, far fewer chemicals are exposed to the environment. There has also been a significant increase in sensor and drone usage in agriculture companies. The use of these AI-related technologies could foresee issues from over a year in advance, allowing farmers to react against adverse conditions and avoid wastage.


In a world where technology is extremely advanced, AI systems are a step forward into a greener future. Early problem detection and an increase of supply in a wide spectrum of sustainable energy choices will not only aid the environment but also increase a business’ competitive advantage. Contrary to popular belief, Artificial Intelligence can be applied to a wide range of problems and markets therefore by implementing AI within your business you are placing yourself one step ahead of the game.



ARTIMUS is a Bespoke Solutions company based in the South West region of the UK. They Specialise in Artificial intelligence solutions and pride themselves on being able to provide the best, highest quality development and project management services that you can find on the market.

Their mission statement is to “Focus on innovation: we want to create unique, outstanding technologies that will help us get one step closer to the simplest future possible. We are fully committed to bringing in artificial intelligence and multi-use solutions that work for companies all over the globe.”

To see how ARTIMUS can assist you with any of these services please contact us on +44 7826 852 610 or via email at

How Artificial Intelligence Can Create & Process Data To Gain A Competitive Advantage

How Artificial Intelligence Can Create & Process Data To Gain A Competitive Advantage
5-Minute Read

Forrester Research
Image result for forrester research reveals that 58% of businesses have considered AI technologies, but only 12% are actually using these systems. Should you join the AI revolution?



Whatever you do, don’t ignore the potential AI can bring you in terms of growth and productivity because that wouldn’t allow you to harness the power of innovation and its revolutionary concept. AI isn’t just limited to customer service and sales as is frequently the question, instead, AI can be expanded into further departments to magnify its benefits. By increasing the productivity and efficiency across all departments, you can grow your business that much faster.

Early adopters of AI have a great opportunity to pull ahead of competitors; especially in small to medium-sized enterprises (SMEs) looking to build customer bases. AI technologies don’t just act as a differentiating factor amongst SMEs, but they also grant you the opportunity to compete with industry giants.


Market Insights

Data can be considered as the raw material of the digital economy. But much like raw materials, it is rendered useless without the specialised machinery used to extract and process causing it to be stored in some vast cloud databases. Artificial Intelligence would sufficiently provide the resources needed to extract, analyse and interpret data, processing billions of data points in a matter of minutes – it learns, it adapts; maximising your efficiency. Used in conjunction with marketing, it can provide powerful insights in staying ahead of the game – Around 70% of people surveyed expect incumbent competitors in their industry to use AI to gain an advantage.

Data-Driven Marketing

Image result for data black and whiteMarketing departments are continuously building on intuitive and immersive strategies to appeal to new customers. The big data trend in analysing marketplaces allows businesses to compile exhaustive amounts of data on buyer behaviour and their consumption methods. Like market insights, without AI, businesses have no real way to parse it. Adding AI into the mix provides accurate predictions on market trends and qualified leads which would enable businesses to segment and build audiences around data-driven analytics and data modelling. By interpreting future actions, you become flexible in adapting to the customer’s journey so that they can receive the right offers and content at the right place at the right time. AI can even automate emails, close sales, offer personalised products and predict customer sentiment – streamlining your business.


Image result for babak hodjat
Babak Hodjat, co-founder and chief scientist at Sentient Technologies, tells Investor’s Business Daily. “It will become so ubiquitous that we won’t even call it AI anymore.”


Systems Automation

The rise of business process automation has grown in relation to the development of smart technologies. Forbes found that 70% of respondents were personally looking forward to delegating the more mundane, repetitive aspects of their jobs to AI. The integration of AI technologies is automating routine processes the same way industrial era machines automated physical labour. From booking systems to chatbots to emailing systems, AI is accelerating our growth prospects.


Sales & CRM

Sales & CRMImagine there was a technology out there so sophisticated that it knew all the leads and deals you were working on just by analysing your calendar, email and phone interactions – That’s AI in action. The software builds, monitors and analyses your pipeline so that you can focus on conversions rather than manually imputing data. Essentially, AI can be considered as your sales assistant by compiling necessary data and automating your CRM systems. Potentially, it could produce targeted information gathered from market insights, subsequently producing predictive forecasts.

Staying Ahead of The Game

Implementing AI technologies are no different to deploying actionable data or even making the switch from paper-based systems to email and digitised frameworks. The key is to develop the right mindset and adopt a step-by-step approach to each step. AI applications are learning to gain efficiencies over time. Businesses will be using these kinds of apps more and more in the coming years and it is up to you to keep up with your competitors; the sooner, the better. AI is only just beginning to scratch the surface of what can be achieved within the business landscape.

To see how ARTIMUS can assist you with any of these services please contact us on +44 7826 852 610 or via email at