{"id":11485,"date":"2022-06-14T07:00:00","date_gmt":"2022-06-14T15:00:00","guid":{"rendered":"https:\/\/formtek.com\/blog\/?p=11485"},"modified":"2021-09-03T11:10:45","modified_gmt":"2021-09-03T19:10:45","slug":"artificial-intelligence-ai-in-the-enterprise","status":"publish","type":"post","link":"https:\/\/formtek.com\/blog\/artificial-intelligence-ai-in-the-enterprise\/","title":{"rendered":"Artificial Intelligence: AI in the Enterprise"},"content":{"rendered":"\n

Three-quarters of US enterprises are building solutions that use artificial intelligence, according to a report by Forrester.<\/a> <\/p>\n\n\n\n

What is the right path and how should enterprises dive into using AI?<\/a> Choose practicality over experimentation whenever possible. Experimentation has the potential to produce some interesting results, but if there was no forethought about how the project could be integrated or applicable, there is a chance that the results will be abandoned.<\/p>\n\n\n\n

Where to start? Igor Ikonnikov<\/a>, analyst at Info-Tech Research Group, said that<\/a> \u201cAI is not a magician with a powerful wand. It will not change our world overnight. It’s a highly automated and adaptable data processing unit. Identify where you can benefit from AI, where you have a lot of data to process, and where you have a lot of complexity. Always start by discussing the business scenario.<\/em>“<\/p>\n\n\n\n

Vikram Mahidhar<\/a>, AI solutions business lead at Genpact, said that<\/a> “technology decision makers must first identify the best areas to apply AI and define the ultimate goals of the project. For instance, these tools may be used to create new products or offerings, improve a current product, optimize internal operations, improve customer experience, or lighten workloads for staff members.”<\/p>\n\n\n\n

What kind of solutions? Thomas Davenport<\/a>, business process innovator, suggests that<\/a> “it is useful for companies to look at AI through the lens of business capabilities rather than technologies. Broadly speaking, AI can support three important business needs: automating business processes, gaining insight through data analysis, and engaging with customers and employees<\/em>.”<\/p>\n\n\n\n

Davenport said that “we believe that every large company should be exploring cognitive technologies. There will be some bumps in the road, and there is no room for complacency on issues of workforce displacement and the ethics of smart machines. But with the right planning and development, cognitive technology could usher in a golden age of productivity, work satisfaction, and prosperity.”<\/p>\n

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Three-quarters of US enterprises are building solutions that use artificial intelligence, according to a report by Forrester. What is the right path and how should enterprises dive into using AI? Choose practicality over experimentation whenever possible. Experimentation has the potential…<\/span><\/p>\n

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