Executive Summary
The era of GenAI is upon us, with IT service leaders gearing up to tackle the forthcoming challenges. GenAI-driven applications are set to revolutionize business processes in every industry. However, success in this new landscape hinges on technology teams equipped with the right GenAI development skills.
This comprehensive guide aims to assist you in navigating the future of GenAI. Whether you’re integrating GenAI into your software development practices or creating innovative GenAI applications for various business functions, investing in upskilling your teams today will pave the way for sustained success. Uncover your primary challenges, identify key opportunities, and explore essential learning paths to bridge the GenAI skills gap.
How Can Implementing GenAI Help Businesses Innovate Everywhere?
One major opportunity for IT services firms today is creating and implementing GenAI apps to boost business productivity. This presents a new era for software engineers, developers, and machine learning experts, where expertise in GenAI can fuel innovation. Research shows that utilizing generative AI within its limits can enhance worker performance by 40%, with a 19% drop in performance when used beyond those limits.
GenAI app developers will seize a unique chance to utilize their skills and create GenAI-powered applications that significantly impact businesses and industries.
GenAI app developers will need to do more than design new apps. Engineers must grasp GenAI governance, ethics, and risk management to shape project planning and execution.
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Here Are Some Of The Critical Learning Pathways That Your Teams Should Follow
When creating an upskilling strategy, many companies now opt for live, instructor-led training online. Especially for areas like Generative AI, learners need a guided learning model with expert instructors, a practical curriculum, and industry-focused projects to apply their knowledge effectively. Here is a breakdown of typical learning paths that can be adopted by upskilling teams:
- Essential GenAI Skills for Everyone—Virtually every organizational role will need upskilling for GenAI. Workers will increasingly see use cases that impact their work days every day, and they will need to be prepared to use and interact with GenAI capabilities on a number of fronts.
- GenAI Skills for Software Engineers and Business Functions – Software developers will require GenAI to automate repetitive coding tasks, improve code quality, and enhance time management for more valuable engineering tasks. Furthermore, in business functions like product research and development, sales and marketing, customer service, data analytics and more, the use of GenAI will drive productivity and ensure seamless, efficient delivery of quality outputs.
- GenAI Skills for Development Teams to Innovate—For professionals building and deploying GenAI applications, broaden their engineering skills to delve into advanced GenAI models, LLM apps, image generation, AI governance, and change management. This effectively addresses workflow disruption and organizational policies.
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Download the complete whitepaper to gain valuable insights and understand the implementation, scalability, and impact of GenAI adoption on businesses.
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