In recent years, AI has become more powerful and its applications to business have increased dramatically. As a result, companies that hadn’t seriously considered using AI are taking a fresh look. The appeal is obvious: different forms of AI can enhance performance through, prediction, automation of routines, identification of images essential to operational activities, or the identification of key words, phrases and patterns in voice and text for information management.
Where organizations often struggle is in knowing where to invest in an AI project that will really pay off. But if AI hasn’t been a part of your company before, it can be hard to know where the real potential — and risks — lie. While AI may promise valuable gains, those gains come with a pricetag, and leaders should feel confident that they’re picking the right project before they commit.
If your company is thinking about adopting AI, you should consider how it might create value, what good first projects might be, and whether you have the right talent on staff for your efforts to succeed in the long run. A first AI project can be daunting, but knowing which factors to focus on will bring the project down to earth — and clarify whether it’s worth the investment at all.
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Haissam Badih PhD, is the Researcher and Professor at the Department of Math and Computer Science at the Lawrence Technological University, Southfield, Michigan, USA. He earned His B.S. degree in Computer Science from the University of Windsor at Ontario Canada, his M.S. Degree from Lawrence Technological University, and a Ph.D. in Computer Science and Informatics from Oakland University in 2020. He will begin his academic career at Lawrence Technological University in 2021. He has worked in various software companies in software engineering and architecture.He authored numerous journal and conference papers that were peer-reviewed. His current research and development interests and activities in Project DIAMOnD for Automation Alley in blockchain for building a 3D printer marketplace for the supply chain to support all kinds of business, including 4.0 Industry. This work on blockchain for autonomous systems design, sensor fusion, intelligent agents, automation, human/machine interaction, robotic programming, and interfacing/coding. His research dissertation, entitled "Advance and specialize our application of blockchain for webcam/microphone access control" and "Add Blockchain in A.I. for communication," has worked within research on the Blockchain and Decoy deception research project. He worked on blockchain and decoy deception using smart contracts. This project utilized a Blockchain application that enforces limited access to webcam and microphone devices. We utilize Blockchain's Smart Contract to form a contract between the user's computer and another party connected via a network.
