Dealing with small things that can have a bigger impact
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1. Organizations Need to Get Data Fabric in Place for the Success of AI Project :
In 2023, companies aim to implement AI for increased productivity and better decision-
making. However, the main challenge is creating a data framework for AI. Many firms lack
a strong data infrastructure, making it necessary to clean and organize data from various
systems. Companies should treat data as a valuable resource and work with AI solution
providers to improve their data architecture. The goal is to gather diverse data, prepare it
for AI use, and maximize all three ROIs, not just financial ROI.
2. AI White-Labeling Offers Fair Chance for Traditional Enterprises :
Traditional organizations struggle to adopt AI. The demand for a quickly deployable AI
solution is growing. In 2023, using “white-label” AI for customizable solutions will be a
competitive advantage. New AI-integrated products will deliver a smarter experience for
end-users, freeing up operational bandwidth for innovation.
Why AI is Essential for Enterprise Survival in 2023 – 5 Ways to Enhance the AI
Journey
Using transactions in entity framework core
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Using transactions in entity framework core
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3. Establishing a Center of Excellence is Key for AI Implementation :
4. ERP Systems Need to be “AI-ified” :
5. Natural Language Processing and Computer Vision Will Play an Important Role :
Establishing a Center of Excellence (COE) is crucial for successful AI adoption. A COE with
a centralized data infrastructure and a multidisciplinary team of experts is key to
organizing data, driving digital transformation, and ensuring AI success. Investing in a COE
helps organizations reap the benefits of AI and stay ahead in the future.
In 2023, AI toolkits are available to connect ERP systems to leading AI platforms through
middleware for accurate predictions and forecasting. These toolkits must link internal ERP,
CRM, HR, and external data to meet the growing demand for connecting enterprise data