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Incorporating AI into Workplace Safety Culture

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Over 2.6 million non-fatal workplace accidents happen annually in the United States. A crucial aspect of any organisation’s operations lies in workplace safety. Over the last few decades, employers are becoming increasingly aware of the ongoing repercussions of poor occupational health and safety measures.

As the world advances with technology, artificial intelligence (AI) is fast becoming a leading factor in helping businesses engage in the industry’s best workplace safety practices. From a physically safe work environment to a focus on mental health, times have evolved exponentially with technology.

It is only natural that companies are adopting the use of AI to better in-house safety measures. Here are some ways AI can be incorporated into a workplace safety culture:

Risk Assessment

The best way for organisations to eradicate potential workplace hazards is to recognise them. This is usually followed by analysing a vast amount of data to discover potential risks in the workplace. Many data types must be analysed, including historical accidents, temperature, humidity, and near-miss incidents. With artificial intelligence, patterns can be detected in a much shorter time. A critical time-saving tool for companies, this allows employers to establish effective risk mitigation measures to prevent history from repeating itself.

Predictive Analysis

Besides analysing historical incidents, AI is a powerful tool for identifying probable hazards. Companies can engage AI to predict the likelihood of safety issues within the workplace. This is incredibly helpful for organisations to generate preventative measures to halt incoming incidents from occurring. Artificial intelligence can retrieve and analyse data from sources to find patterns that indicate potential risk. In addition, resources are also better allocated effectively to different segments of the workplace to avert workplace hazards.

Live Monitoring

One of the best ways to optimise AI in the workplace is to monitor equipment, processes, and environmental factors in real time. The list is endless, from signs of wear and tear on machines to temperature changes, humidity levels, and even employee behaviour. Once companies incorporate live viewing, it quickens the response time from employers to any incidents. Since the response time is faster, damage control can reduce or lessen the severity of fatalities. Plus, AI can automate safety checks such as ensuring all employees have personal protective equipment (PPE) before entering a dangerous zone.

Incident Response

Similar to the efficiency gains that Protex AI explained in this guide, AI is a potent tool that improves incident response times. Real time monitoring incorporates immediate alerts. In some cases, AI can shut down equipment while sending notifications to emergency services. In addition, artificial intelligence allows organisations to provide critical information in each safety incident. By providing first-hand information, employers can mitigate every risk’s impact with damage control techniques that follow accurate information.

Post Incident Analysis

Analysing data to determine preventative measures is crucial, but identifying the root cause is essential. With a post-incident analysis, using AI to explore a vast range of incidents can quickly pinpoint trends from historical times. The use of analysis after every issue is a critical factor in improving workplace safety measures to help a business thrive in engaging in best practices. Based on valuable insights, a firm’s effectiveness in keeping its employees safe is no longer a time-consuming and challenging concern.

In Conclusion

By keeping up with the times, utilising AI can significantly enhance an employee’s well-being mentally, emotionally, and physically. Including organisational success, it is inevitable not to recognise the steps firms can conquer with AI. Identifying root causes in potential hazards, live monitoring, predictive analysis, personalised safety training, and better incident response times are vital to creating a healthier and happier work environment for employees. AI cannot replace humans, but it should adequately optimise human decision-making; helping to reform internal operations for the better.

Artificial Intelligence (AI): A Game Changer for Digital Marketing

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Undeniably, Artificial Intelligence (AI) has changed the way brands communicate with people. Real-time responses have become a thing. Besides, AI has completely altered the way marketing campaigns are managed.

If you are new to the concept of using AI in the digital marketing domain, this post can help.

Artificial intelligence actively helps businesses in: 

  • Coming up with effective digital marketing strategies
  • Enhancing campaigns, and 
  • Tripling returns on investments 

If you observe, you’ll realise there are already many AI applications we use, such as: 

  • Self-driving automobiles
  • Smartphones 
  • Smart lifestyle devices

There are various ways through which AI applications can support digital marketing. We shall talk about some of them in detail below.

AI in Digital Marketing

Artificial intelligence in digital marketing indicates how we can use this technology to: 

  • Drive more online sales
  • Improve customer experience, and 
  • Speed up and optimise various digital marketing tasks.

In the beginning, marketing professionals feared integrating AI in their digital marketing ventures. Soon, big names like Alibaba, Amazon, and eBay started using it. And they extracted incredible results.

AI Benefiting Different Businesses

Amazon was one of the first companies to have integrated AI into their digital domain. They designed a personalised recommendation system by using artificial intelligence.

This greatly improved the user experience. Their online customers started getting relevant recommendations based on their previous shopping preferences.

Similarly, AI has proved its importance for non-profit digital marketing as well. There are many ways non-profit online marketing campaigns can succeed with the help of AI.

For example, the AI-backed predictive analysis can help NGOs in:

  • Getting more positive responses to direct mails and emails
  • Boosting regular donation programs
  • Targeting donors with the right propensity 

By making AI an integral part of their non-profit digital marketing strategy, GreenPeace AU, Parkinson’s UK, and other NGOs have been able to:

  • Improve segmentation techniques to target potential donors.
  • Send the right message across to relevant segments.
  • Target more donors who are likely to respond to their fundraising campaigns.

Implementation of AI in Digital Marketing

Whether it is an NGO digital strategy or a normal one, AI can make a big impact. Here is how you can implement AI into digital marketing:

Chatbots

One of the best examples of AI in digital marketing is chatbots. Chatbots are computer programs. They use conversational AI to simulate conversation with a human user. It can be done via messenger applications, website chat boxes, and telephones.

Chatbots reduce the reliance on service agents with incredible cost-efficiency. Using rule-based language applications, they can engage customers. This, in turn, elevates the online shopping experience to a whole new level.

For example:

  • Quick Query Resolution: Chatbots can drive conversations with customers via live chat functions. Now, customers don’t have to wait for a service agent. They can get all their answers in real-time. 
  • Data Collection: Chatbots can collect more data from the users. In turn, they provide them with more relevant information.

It’s relatively common and a lot of brands have now used chatbots to up their marketing game. For instance, Sephora has launched a chatbot on its website that gives beauty tips.

Targeted Marketing

How do you get loads of suggestions based on previous searches? Well, that is also AI, using targeted marketing to upscale your search engine results.

It includes: 

  • Creating separate advertisements and marketing campaigns.
  • Targeting separate audiences based on their requirements.

For instance, you could have searched for “hockey sticks”. Later, you got tons of advertisements for hockey sticks from different brands.

So, if you’re wondering how to market non-profits, this technique can give you a good start. By using AI, you can:

  • Collect demographics of potential donors.
  • Send the right message across to a specific group.

Predictive Analysis

As they say, ‘data is the new oil’. It’s a precious asset that companies spend a considerable budget to acquire. They can come up with targeted marketing campaigns based on user data.

Now, think about adding AI to data analysis. What will it do?

  • It will take you beyond merely understanding customer behaviour. 
  • You can predict what the customer is likely to do in the future.

AI algorithms are extremely efficient and fast. So, you can throw in large data and its processed output will be available within seconds.

What’s so interesting about predictive analysis is:

  • They show customer behaviours.
  • Tell you the optimum product prices for better sales.

AI predictive tools will become an essential part of future marketing campaigns.

These tools can also improve a non-profit digital marketing strategy in the same manner. You can use them to know – for instance, how many donors can contribute to your upcoming event.

Content Generation

Can artificial intelligence produce content? Well, with some exceptions, it can!

News portals like Forbes, CNN, and AP are already using applications. For example, Wordsmith and Quill can generate content that increases their visitors.

Of course, AI can’t possibly come up with opinionated articles and columns. However, AI software can create reports and analyses. It can research tons of data to create informative content.

It can be time-saving and generate a lot of clicks on your website, driving way more traffic than before. But still, it’s too early to put all your eggs in the AI basket. It still lacks the element of creativity and human-friendliness of a professional copywriter.

Instead, hiring a professional content marketing service would be better. A professional service knows: 

  • When to leverage AI tools, and 
  • What tools can help you come up with the best content 

For example, tools like Grammarly, Hemingway Editor, and others can reduce content-generation time. These AI-supported tools can help you edit and improve an article written by a human.

Personalised Product Recommendations

Have you ever visited websites that asked for your specific information? Most of you did.

That is the AI talking, and trying to collect your relevant data. This is how it can provide you with personalised product recommendations.

Now think about the experience the first-time visitor will have when they get what they need. This way, the chances of them turning into regular customers are much higher.

AI-backed digital marketing helps you know a lot about your visitors:

  • Personal preferences
  • Likes and dislikes
  • Interests

Based on that, you can recommend products they will surely purchase.

Conclusion

As you have read, AI can play an integral part in the future of digital marketing.

  • It can go through millions of data units that a human can’t.
  • It offers various applications in the digital marketing domain.
  • These applications have been evolving with time.

So, we can expect more targeted results from AI-backed digital marketing.