From the course: Next Generation AI: An Intro to GPT-3

Skills required for AI in business

From the course: Next Generation AI: An Intro to GPT-3

Skills required for AI in business

- What's becoming clear now is that with each day that passes more and more organizations are adopting artificial intelligence, they're incorporating it into their products and they're using it to run better operations, even if it's not deliberate yet, most organizations are already using AI in some form because it's in the applications they use on their devices or it's integrated into industrial machines. Soon it's believed AI will be as ubiquitous as connectivity and electricity with AI taking a larger role in organizations, it will be advantageous to take strategic, tactical and operational approaches to this technology. GPT-3 as an example, demonstrates both the rapid progression of AI value and it opens the possibilities for innovation, it's now time for most organizations to step up to this opportunity. Let's take a look at some of the skills that businesses may want to identify and acquire as a plan and develop for an AI future. At the leadership and management level, it's important to have a vision for AI in the organization, that's going to require education on what's possible, GPT-3 provides strong clues on where the technology is headed in the next few years. Leaders must also attain a good understanding of AI providers, the solutions they are providing, and the roadmaps they are following. Management must also be prepared to take some additional investment risks and be open to experimenting, grooming a culture of innovation becomes even more important. Recent research in "Harvard Business Review" claims that early adopters of innovation using digital technologies are growing twice as fast as many of those who are technologically conservative. For many organizations short to medium-term plans for AI are going to be primarily focused on acquiring existing tools with integrated AI, for example, data analytics, geospatial information systems, financial modeling, and others that are off-the-shelf will generally ship with AI baked in. Many XaaS service or Everything-as-a-Service solutions cloud delivered applications from vendors such as Oracle, Salesforce, SAP and others will include AI-enhanced capability. Some simple examples include optimization techniques and spreadsheets or managing design suggestions in a presentation application. Training will be more important than ever, knowing how to tap into these new functions and leverage their value can enhance employee performance. For a growing number of businesses, there will be enthusiasm to build their own AI-powered solutions, it's a more complex route, but with plenty of upside including attaining competitive advantage, through providing superior products and services. If you're one of these organizations, you will want to explore some of the following roles, intuitively you're going to need some AI engineers that are skilled in writing algorithms for machine and deep learning, tightly related to these roles will be the need for data scientists and data integration engineers. Overall, AI must be fed the right data in the right manner to enable it to function well, with a heavy emphasis on software development, your AI needs will require software engineers that can program in popular AI supporting languages such as Python, C++, and Java. API or application programming interface development in particular will be a value since AI often requires passing data among disparate systems or calling on the functions of other software, GPT-3, as an example is an API-based service. Finally, to compliment the technology team, organizations should consider talent in user experience design, business analysis and agile project management, these are the skills that can assure a contemporary approach to software design and development. Preparing your organization for the challenges and opportunities of the 21st century means being in a forward leaning position, it will require bolder choices, greater risks, uncertain investments, and a culture of innovation, and the bottom line, it'll be all for nothing, if you don't have the right skills available.

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