Want to win in the age of AI? You can either build it or build your business with it

Obstetric artificial intelligence (AI) provides interesting functional opportunities for both technology and MAVENS. Unlike the previous types of technologies, there are two paths that one can follow – either to build artificial intelligence or use artificial intelligence to build their business.

Recent research conducted by Aditya Challepallly, Lead’s Microsoft Applied Science, explores these two tracks for the success of artificial intelligence.

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For information technology professionals, this means providing solutions quickly to stay at the top of rapid business changes – Technical career path. “IT professionals must explore new tools such as Github Copilot, Cursor, Claude Code and others to stay at the forefront.” In many organizations, I saw the developers gaining a 10x reputation by taking advantage of these tools effectively, and this feature tends to continue even with others. “

From the perspective of work, artificial intelligence cannot work in a technical vacuum-there is a need for artificial intelligence experts to adapt technology with specific work requirements-and this is it The functional track field experience. “When artificial intelligence models become more commodity, specialized field knowledge becomes increasingly value,” said Chadali. “What distinguishes real experts is their deep understanding of their specified industry, along with the ability to determine a place and how Gen AI can be applied effectively.” Often, he warned that robots alone cannot transmit such specific knowledge.

With the interview of 50 business leaders about their need for artificial intelligence, and in view of the view that in-depth knowledge of Amnesty International in high demand-and the special needs of technical sectors and commercial cunning are converging. “The leaders classified this as more important than managing traditional projects or business duties such as providing a convincing product vision or good coordination,” he said.

How does the best non -technicians and develop their careers succeed in artificial intelligence? (Average assessments on a scale of 1-10)

• It understands technology in depth (10)
• Vision Product (7)
• You can do or do the requirements of the product (6)
• Assembling requirements and defense (5)

He said that business leaders refer to the most intense need at this time “for professionals who pay the worlds – those who understand the depth of work requirements while absorbing the technical basics of Amnesty International.” Instead of pure technicians, they are looking for individuals who combine traditional acts of works with artistic literacy. This is the type of people who can formulate products visions, understand basic coding concepts, and collect advanced requirements that are compatible with technological capabilities with work goals. ”

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For those on the artistic side, it is important to “master the art of providing these tools to provide accurate results,” said Chalali. “I really think the real power of IT professionals is now in their ability to manage different coding factors and tools efficiently.”

At the same time, he noticed that “some experienced developers tend to reduce these new tools, and their rejection as a departure for beginners. However, these tools can simplify the workflow and the tasks of the smaller coding significantly, and those who benefit from them find them very useful.”

“It is devoted to time every week to try emerging models, frameworks and tools, even if they ignore the vast majority of them.”

Challapally gave the following advice to technology specialists:

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• Adhere to the principles of developing basic software. “These tools make the principles of traditional software engineering for standard design, good thinking in systems design and understanding the product requirements are more important,” he said. “I have seen information technology professionals using high -speed development, enabling artificial intelligence, as well as good thinking or working to work to clarify their career.”

• Learn. “Take two to four weeks and focus on foundational knowledge,” he said. “Learn the basics of AI and Gen AI, learn about common tools such as ChatGPT and Dall-E, and develop basic engineering skills. With a little effort, these LLMS can be pushed to do wonderful things.”

• Be a fast master. “The claim is the most important skill for successfully using Gen AI and usually takes four to six weeks to master it.” “Professionals must apply from simple entry/output tasks to advanced technologies such as multi -channel claim and json coordination. The goal is to achieve consistent outputable outputs from LLMS and evaluate Gen AI accurately for specific tasks.”

• Choose an advanced path. “Once the technical basics drop, you will need to determine how to specialize depending on the context of your career,” he said. “Foundation’s professionals may want to focus on the structure of systems, data flow and the integration of Gen AI. On the other hand, independent professionals need to master low -code/non -code and basic coding coding with the help of LLMS, providing rapid preliminary models and development.”

On the part of the work, things are no longer in the point where difficult technical skills may not be necessary to develop applications. “Today’s Amnesty International is good in building simple applications – get about 80 % of the road there,” Chalabali said. “But the completion of the last 20 % still needs a real technical knowledge to correct errors and make things work in the real world. This may improve to 95 % soon, but only for direct applications.”

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For business professionals, challapaly provides the following advice:

• A map for the withdrawal of artificial intelligence in your field. “Spending two to three weeks in studying the current GEN AI applications in your field,” advised. “Understanding successful applications, failed attempts, and emerging opportunities.”
• Understanding user behavior. “Invest in understanding how your industry users interact with artificial intelligence systems,” he said. “You can do this easily by trying the main AI tools in your field.”
• Know how to shop. “With the spread of GEN AI applications, one of the best things that the action specialist can learn to learn how to make the Gen AI app highlight and attract attention.”