AI is a powerful tool, and people are adopting this technology with open hands. When you become familiar with the capabilities of large language models (LLM), you can find many applications for them in your daily tasks.

With a bit of creativity and good prompting, people drastically cut down on boring and repetitive manual work. Research is also much easier, not to mention the possibilities with generative AI and the possibility of finding solutions even in creative work.

It's no wonder that 51% of employees report that AI help them achieve a healthier work-life balance. They can now complete tasks faster and accomplish daily routines in less time, leaving more room for their creativity and expertise. They can also reduce their workload and increase their free time.

Considering all of this, an AI personalized for the organization opens up a whole new world of using AI and applying it to business-specialized tasks.

What Does Personalized AI Bring to The Business? 

Unlike generic AI, personalized AIs are trained on a company's specific data (sales figures, customer interactions, internal documents). This allows them to understand the nuances of the business and answer questions directly related to its operations. 

Given how quickly people get accustomed to AI and its many applications, many areas in business have already significantly improved with the advent of AI. With business-personalized AI, the application is limited only by its user's creativity. 

Some of the benefits of personalized AI include:

• Instantaneous insights: Employees can instantly get answers to data-driven questions, eliminating the need for manual report generation or complex queries.
• Automated reporting: AI can be trained to automatically generate reports in specific formats (daily, weekly, monthly) with the most relevant data and save countless hours.
• Improved communication:  AI can improve internal communication by summarizing meeting notes, generating email drafts, or translating documents.

• Predictive analytics: Personalized AI can analyze vast amounts of data to identify trends and predict future outcomes, aiding in strategic decision-making.
• Root cause analysis: Quickly identify the root causes of issues by having the AI analyze customer feedback data, social media sentiment, or internal reports.
• Data exploration: Employees can ask exploratory questions about the data without needing extensive data analysis skills. The AI can identify patterns and suggest further investigation.

• Personalized marketing: Create targeted marketing campaigns by having the AI analyze customer data and preferences to personalize content and offers.
• Product development: Use the AI to brainstorm new product ideas based on customer feedback and market trends.
• Content creation: Create creative text formats, such as social media posts, blog articles, or even scripts, based on your brand voice and target audience.
• Risk management: Identify potential risks by having the AI analyze financial data, legal documents, and industry trends.
• Compliance management: Train the AI on compliance regulations to ensure documents and procedures adhere to specific standards.

As of today, about 43% of employees report they would use AI to understand data and trends to improve decision-making. Personalized AI would allow employees to use AI in their work environment, a setting that is highly relevant to them and their job duties and that helps them finish what is important for them and the business as a whole.

Personalization with Akooda

The first step in utilizing AI for business is integrating with existing tools and applications and connecting all the dots across your business.

This way, you can keep track of all efforts and how they compare to objectives. With your business interconnected, you can now use Akooda enterprise search to get personalized and indexed search results in real-time. This means that the answers and data you get are always relevant and up to date.

Once you unlock the ability to dive into specific areas of interest, including the people, projects, and keywords unique to your organization, you can now utilize generative AI in a setting relevant to your employees and their needs.