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While artificial intelligence (AI) is becoming a reality for a growing number of organizations in the digital economy today, there is still a strong fear of displacement from the employee population.

In fact, according to a recent poll from Pew Research, 73 percent of Americans are worried about a future where robots replace human jobs. Enterprises play a critical role in educating the workforce to ease these concerns, emphasizing the role of AI in enriching, not replacing, daily responsibilities for workers.

In taking advantage of AI, organizations have the opportunity to make their workforce more efficient, with Gartner predicting that AI augmentation will recover 6.2 billion hours of worker productivity by 2021. Artificial intelligence removes the need for employees to perform repetitive, administrative tasks, and instead frees them up to focus their time on more creative, strategic responsibilities involving critical thinking.

Generating ROI with Artificial Intelligence  

As mentioned, AI has huge potential to impact employee productivity by streamlining routine, and often mundane, tasks in the enterprise. However, the question that many IT teams face in validating this, is how does it impact the company’s bottom line?

When it comes to proving the ROI of artificial intelligence, there are several areas we have started to see a direct impact when it comes to cutting down on time-spent on certain tasks. AI can have broad applications across departments, so it’s critical to first evaluate which areas of the business could most benefit from AI to help streamline processes, increase productivity and also remove some of the risk that often comes from human error. By evaluating these criteria before implementing an AI solution, teams can measure impact from the outset and be better prepared to show results in relation to the company’s bottom line. 

Enriching, not Detracting, from Employee Happiness

Beyond just streamlining processes, artificial intelligence can impact the overall work-life balance of enterprises employees. This is especially critical for the rising generation of millennial employees who often require a more flexible work schedule. AI can help employees work smarter, not harder – this is crucial to help companies retain talent in a competitive market.  In fact, a Bentley University study found that 77 percent of millennials believe that a flexible work schedule would make them more productive and improve work-life balance.

Move AI from Ideation to Reality

Recent research from IDG found that only 28 percent of organizations have an active digital-first approach. As artificial intelligence continues to evolve, enterprises need to be weaving these advanced technologies into their broader company strategy to keep pace in the digital economy. There isn’t a one-size-fits all strategy for implementing AI in the enterprise setting, so organizations must look at the proven reasons for why and how they are using this technology. This will help them adopt AI in a tangible and effective way as they look to make an impact and drive business success.

Interested in learning more? Check out a recent piece for Datanami on why AI shouldn’t be deemed the enemy of the modern worker:

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  1. Suresh Kalyanasundaram

    AI innovation can improve any company’s capacity to assemble and process information and make preparatory estimates in view of evolving conditions. It would take a long time to accumulate and investigate a similar amount of information physically that AI procedures can achieve in seconds. In the present quick moving business condition, speed is basic for the accompanying reasons:

    The rise of AI is undeniable in the digital marketing world. Artificial Intelligence has already started to make us think about what can and should be delegated to automation controlled by AI.

    While piles of data are exciting, creating hypotheses and algorithms to sort that data is a laborious and human-dependent job. An analyst can model one set of data per week, but AI technology can model thousands in a few days.

    Google’s RankBrain algorithm uses machine learning to determine exactly what search results you want to see. Facebook also uses AI to create customer service chatbots on its Messenger platform.

    In both cases, AI is cheaper than hiring developers and mathematicians in the long run, and a better user experience increases traffic and thus advertising spends.



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