Roadblocks to implementing AI
Businesses are facing challenges in implementing AI as part of their digital transformation efforts amidst the rapid growth of AI technology.
Digital transformation encompasses various aspects such as IT modernization, digital optimization, and the development of new digital business models. Organizations undertake digital transformations to stay competitive and relevant in the evolving digital landscape.
Despite the potential advantages of technologies like AI, automation, edge computing, and the cloud, businesses encounter obstacles when trying to implement them across different industries.
A Deltek report highlights the importance of digital transformation in achieving growth objectives, with 67% of businesses believing that significant progress in this area will help them maintain market share.
However, a McKinsey report reveals that a significant number of digital transformations, around 70%, end in failure.
Integrating diverse systems, data sources, and infrastructure components into a unified digital framework is a major challenge for businesses. Lenovo’s recent global CIO report indicates that despite AI being a top priority, issues such as speed, security, and organizational readiness hinder progress.
Transitioning AI applications from pilot phases to full-scale production is another hurdle. Concerns about cybersecurity and data privacy also affect decision-making among corporate leaders as data traverses complex hybrid environments.
Additionally, addressing skills gaps and managing cultural change pose further obstacles.
An integrated approach
Lenovo and Cisco aim to simplify the AI and digital transformation journey for businesses by offering a comprehensive solution.
Jonathan Davidson, Executive Vice President at Cisco Networking, emphasizes the benefits of integrated solutions from Lenovo and Cisco in enhancing operational efficiency and business outcomes for customers.
Through pre-engineered, validated, and optimized systems, the partnership seeks to mitigate risks, reduce costs, and accelerate the deployment of transformational IT initiatives.
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