Four Use-Cases for AI Automation in 2024by@jonstojanmedia
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Four Use-Cases for AI Automation in 2024

by Jon Stojan MediaApril 17th, 2024
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Artificial intelligence (AI) is reshaping industries by boosting productivity, enhancing creativity, optimizing supply chains, and transforming finance. From creating better work cultures to improving sustainability practices, AI's potential across various business domains promises to drive innovation and efficiency in the digital age.
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Artificial intelligence (AI) has emerged as a game-changer in many industries. Predictive AI technology has helped reshape age-old processes, saving organizations time, money, and frustration. A litany of different organizations have leveraged AI solutions to streamline their operations and ultimately drive productivity, changing industries ranging from art to finance.

While some have bemoaned the rise of AI, wringing their hands over a possible AI takeover, others have recognized the power of machine learning, algorithms, and computer vision to transform their jobs and allow them to get back to the innovating that truly moves the needle towards progress.

AI for Boosting Productivity

AI has proven to be a boon for productivity within many organizations. By automating repetitive tasks and allowing employees to focus on the parts of their jobs that carry higher value, AI paves the way for more creativity, innovation, and problem-solving.

“By analyzing trends in task completion times and quality and assigning specific team members based on past performance and partnerships, AI encourages a culture of recognition and motivation,” says Brianna Van Zanten, Customer Success Manager at InCheq. “When workers' achievements are acknowledged through data-driven insights, it provides a tangible record of their individualistic abilities.”

With more workers taking heed of the message of the Great Resignation and seeking work that is personally and professionally rewarding, utilizing AI to create a better work culture can help companies with talent retention and employee satisfaction, not to mention productivity. With actionable insights from performance data, AI can not only make the workplace better for the employees but also significantly improve the overall performance of the organization as a whole.

AI for Content Creation

With the rise of AI, many in creative fields have feared that predictive AI creations signal the end of human creativity. However, several organizations have learned to use AI not only to help them be more productive but also to give them the space they need to be more creative.

“As a podcast host, I can attest to AI's transformative potential for the podcasting industry,” explains Heidi Moore, host of Wine Crush Podcast. “When we integrate AI into existing podcast workflows, it's not merely an additive process — it’s a paradigm shift. The capability of AI to sift through vast datasets allows it to predict and generate engaging topics that resonate deeply with the audience's preferences and current trends. This predictive prowess is instrumental in crafting content strategies that captivate listeners and foster a loyal audience base.”

By automating the routines that take away from the creative process, creative entrepreneurs and leaders can focus more on experimenting and enjoying the fun parts of working within a creative space. If they view AI as a collaborative partner in their creative work rather than a hindrance, they may come by a more efficient process.

AI for the Supply Chain

As we saw laid bare during the pandemic, the efficiency and health of the global supply chain are critical for business. The introduction of AI has allowed those in the supply chain space to optimize traditional processes and explore technology-informed ways of making things run smoothly worldwide.

“AI and RFID technology can be pivotal in transforming supply chain operations, particularly in enhancing the efficiency and sustainability of eco-friendly products,” says Joseph Schlossberg, VP of Global Sales at Sourcing Solutions International. “By integrating RFID's real-time tracking capabilities with AI's analytical prowess, we could significantly streamline supply chain processes, ensuring accurate inventory management and reducing unnecessary waste. This synergy is vital for adapting to rapid market changes and managing resources more effectively.”

AI use within the supply chain significantly impacts the recent push for sustainability. “By evaluating extensive data on lifecycle impacts, supply chain practices, and product usage, AI facilitates more sustainable decision-making and innovation,” Schlossberg explains. “It helps us improve product design and predicts the environmental impact of materials and processes that we use.”

AI in Finance

AI also has a significant role to play in an industry like finance, where accuracy is paramount. “As more and more financial advisors embrace advancements in technology, AI continues to play a larger role,” says Aaron Cirksena of MDRN Capital. With the power to analyze vast data sets and uncover valuable insights for investors, AI can unlock new opportunities within the complex world of finance.

“We can use AI in a multitude of ways, whether it is used to manage investments, give predictive AI-driven recommendations, or assist advisors in the day-to-day operations of their firms,” Cirksena notes. “Additionally, more advisors are embracing AI for client communication and assisting them with finding new lead sources.”

Financial entities that embrace these technologies within the financial space stand to gain an advantage over those competitors who choose not to evolve or even bend with the changing times. As AI becomes more a part of everyday life, more investors and everyday banking consumers will come to expect the value and efficiency that AI can bring, gravitating towards those organizations that can offer it.

AI automation has left its fingerprints in nearly every industry. As we head into the future, the potential for AI in areas from healthcare to the arts promises to reshape the way we work, produce, and innovate.

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