6 Reasons Why you Should be Using AI in 2023

AI content creation tools can boost your content team’s productivity multi-folds and help you scale content production to meet rising demands. From generating ideas, to writing SEO blogs, social media copy and even creating video content, AI has revolutionised how content creation can be done on a smaller budget. The biggest dilemma is finding the right tool to meet your needs, but we’ve done the heavy lifting for you and have outlined the Top Ten AI Tools to Use as Content Creator.

If you work in marketing you will know that finding the balance between operational efficiency and customer experience is key. AI technology can support several different areas.

• Market research - AI tools can analyse these at scale customer feedback with no manual tagging required from you or your teams and insights centralised for easy access**.**
• Search Engine Optimization (SEO) – Machine Learning (ML) algorithms are now being used to get a better grasp of the intent behind search term usage as well as the substance of searches. Another application is to analyse competitor SEO tactics in order to identify any holes that may exist on your own, or to take advantage of keywords that competitors aren’t using. AI can also create SEO-friendly marketing material for your own website.
• Competitor Analysis - Use AI to categorise competitor analysis by topic or themes and notify you of trends.

Streamline customer interactions with AI's ability to automatically assess messages for tone and context. Dedicating resources to monitoring customer messages is money-and-time-consuming. Not only this but customer mails can fluctuate and you might find your customer support team actively responding to queries one day and sitting around the next.

Automatically assess customer messages - AI tools use advanced technologies to detect the tone and purpose of incoming messages from customers. More than just detecting a certain keyword like ‘complaint’, AI will assess the entire context of the message. Meaning even the most long-winded text can be categorised correctly and sent to the appropriate team. This is a very popular tool that you’ve likely encountered when contacting your bank or a large business — they will filter you through an AI persona first to see if your answer can be answered quickly through FAQs and help articles before they transfer you to a member of the team.

Known as AIOps, the use of AI in business operations is already helping businesses on the path toward a successful digital transformation.

Inventory Management - Machine Learning, a subset of AI, uses image recognition abilities to increase efficiency and productivity across a wide variety of processes, one example of this is inventory management. It's as simple as uploading image data to an AI tool that can detect defects, or categorise and label the images. You can even connect these apps to your existing tool stack or online shop meaning the labels are automatically assigned.

Human resource teams are in a drastically different environment than they were prior to the COVID-19 pandemic. Hybrid and remote working is continuing to increase in popularity. Virtual recruiting, as well as a greater emphasis on diversity and inclusion, have introduced new dynamics and reinforced existing ones. New platforms and technologies are required to stay competitive, and AI is at the centre of this growth.

Analysing candidate profiles – many companies have invested in AI to help with the hiring process. Using AI, HR managers can analyse a potential candidate's past work experiences and interests and match them with the best roles.‍

AI can automate tedious activities, improve accuracy and efficiency, and uncover hidden trends. It can upload files, read them, and classify them in the correct accounting codes.

Performing repetitive tasks – repetitive actions like recording data, categorising transactions, reconciling accounts, entering and correlating data from scanned receipts and invoices to transactions, evaluating employee expense reports, and tracking pricing changes are just a few things that take up a lot of accountants' time. AI can do all of these tasks with much less error than a human.

Semi-automating complex processes like payroll – Looking ahead to the future, it’s predicted that AI is likely to alter the way payroll is done for companies. Unlike automation, which is based on cause-and-effect, true AI systems can analyse data, learn from failures, and solve issues strategically.

As we’ve mentioned, AI and Machine Learning have revolutionised and will continue to revolutionise businesses for many years to come. From content creation to marketing to customer service, implementing AI into business environments cuts down on time spent on repetitive tasks, improves employee productivity, and enhances the overall customer experience. It also helps avoid mistakes and detect potential crises.