Whether automating tasks or increasing efficiency, generative AI has numerous benefits that can help businesses save time and resources. It’s essential to choose tools that have proven performance.
Generative AI enables businesses to tailor solutions to their unique needs and preferences. This increases customer engagement and satisfaction. It also enhances brand consistency.
Artificial intelligence tools have gained traction recently for automating various internal tasks and reducing human error. Generative AI is making a splash with its ability to generate content and ideas that can replace traditional worker efforts.
For instance, using AI for e-commerce personalization allows brands to create tailored experiences that meet customer needs and expectations—a must in today’s highly competitive online market. One of the benefits of generative AI for business is that it can help streamline this process by analyzing client data and generating personalized product recommendations.
In addition, generative AI can also improve creativity in the workplace. By using AI to generate ideas, workers can focus on other business areas and get more done daily. For example, generative AI can give users unique image and text outputs to flesh out creative concepts. This can be text-to-speech for AI chatbots or a photorealistic image generated by an AI art generator like Google’s Bard. This type of automation can reduce human error, save time, and reduce costs. This is especially true for high-level knowledge work that requires extensive and complex processes.
Make data available
Generative AI makes data accessible and automates tasks requiring much manual time. It also provides new ways to access and analyze unstructured data, such as videos, drone images, and satellite maps.
For example, a marketing team could use an open-source generative AI platform to deliver more personalized responses and better search results for customer support calls. It can also help reduce back-end workload by reducing the number of support tickets and freeing staff to focus on other critical business projects.
Using generative AI in customer service can help companies stay ahead of competitors who can offer tailored online experiences. It can also increase revenue and loyalty by allowing marketers to dive deeper into e-commerce personalization.
When using generative AI, businesses must consider the legal implications of its use. This includes ensuring that the tool is configured with data that does not violate state and federal data protection laws. It’s essential to do due diligence on vendors and review contractual terms so the business understands how the vendor will use the data it provides. Additionally, it’s critical to update privacy notices when AI use cases expand the collection and disclosure of information to individuals.
Automate repetitive tasks
Unlike previous generations of automation technologies, generative AI is particularly well-suited to tasks that are cognitive rather than physical. This makes it an excellent tool for automating work that requires complex knowledge, higher wages, and educational requirements.
For example, a generative AI-powered chatbot could handle customer support requests and act as a more advanced virtual shopping assistant. This would allow back-end staff to service more customers and focus on other business areas.
Generative AI can also help automate repetitive tasks by analyzing and learning from existing data. This allows it to generate alerts based on specific triggers and automate processes, such as saving attachments or updating social media. This is done using Logic Machine Learning (LMM) technology, which uses a machine learning model to learn and apply rules based on existing data.
By releasing staff from low-value duties and allowing them to concentrate on more significant or valuable projects, this kind of automation can help firms save time and resources. It can even improve productivity by reducing the number of manual steps needed to complete a task.
Automate tasks that require human interaction
Generative AI can be used to automate tasks that traditionally would require human interaction. This includes complex and time-consuming work with a known outcome (like assembly line repetition or accounting).
AI models can be generated for text-based work like transcription or translation, image or video creation, music composition, and marketing data. It also can be used to create and customize content that requires a high level of skill, like the text-based ChatGPT chatbot that produces highly human-like responses to users’ plain-English requests.
Companies can also use generative AI to help with organizational tasks, expedite research and product first drafts, educate workers on new disciplines, or suggest novel ways to solve problems. It can also be used to optimize processes and improve a company’s products, like speeding up product development times to deliver better medications, safer household cleaners, faster diagnostics, or new alloys for automobiles. It can even accelerate service calls to quickly locate and provide solutions to customers who have problems—rather than the old phone tree and call transfer that often frustrates them.
Automate tasks that are repetitive
Generative AI is a subset of machine learning that creates new data, aiding tasks like organization, processing, augmentation, and synthesis. It also helps streamline decision-making by automating repetitive, labor-intensive work. For example, generative AI can automatically produce images and music based on text descriptions, speeding up creative applications like graphic design and video creation. It can also translate foreign language texts and generate marketing data and code.
This enables organizations to focus on more critical and impactful work. For instance, a healthcare company could use generative AI to create personalized patient-specific medication schedules, speeding up diagnosis and treatment. In retail, generative AI can produce customized advertisements based on customer demographics, leading to higher sales and improved customer experience.
As a result of these productivity gains, generative AI tools are rapidly changing how people work. However, workers should carefully evaluate each device to ensure it improves their jobs and provides value for the business. Some recommend connecting every generative AI project to KPIs, ensuring it improves operational efficiency, delivers net new revenue, or better customer experiences.