Are you ready to dive into the fascinating world of Generative AI? Look no further! In this blog post, I’ll be sharing a few key takeaways from Udacity’s recent webinar on the red hot topic of Generative AI with Udacity’s Founder, @Sebastian Thrun and @Ed Wiley, renowned AI expert and Udacity instructor. Whether you’re a seasoned AI practitioner or just starting your journey, there’s something for everyone in this recap. Let’s jump right in!
“The formation of Generative AI is similar to the early years of the internet and customer expectations are higher than ever.”~ Ed Wiley
The rise of Generative AI brings to mind the early stages of the internet, a time when revolutionary technologies were emerging and reshaping our society. Just as the internet revolutionized how we work, communicate and access information, Generative AI has the potential to transform multiple industries by pushing boundaries in creativity and problem-solving (in many cases, this is already happening). With its capacity to generate human-like text, images, and music, AI has captured the interest of businesses seeking forward-thinking, non-conventional solutions that can deliver a competitive edge.
As a result, customer expectations have risen to anticipate personalized experiences that meet their specific needs and preferences. Generative AI’s capabilities are increasingly being leveraged by companies to meet the growing demand for exceptional content and seamless, customized user interactions. In an increasingly competitive environment, businesses can meet or exceed these heightened customer expectations by effectively harnessing this technology.
AI will NOT surpass humans, humans need to train the machines.
Artificial intelligence has a difficult time replicating human emotions, as it poses a complex obstacle to measuring up. There are many aspects that make up emotional intelligence, including empathy, interpersonal skills, self-awareness, and emotional regulation. Since these elements are deeply rooted in human intuition, experience, cultural context, and social dynamics, machines cannot fully comprehend them. At the end of the day, humans have a much greater capacity for creativity and innovation than machines.
“Things get done on a Scrum level with Generative AI.”~ Ed Wiley
The Agile practitioner is well aware of the challenges involved in complex projects requiring effective communication and collaboration to meet tight sprint deadlines. You can use Generative AI to foster a collaborative atmosphere during meetings, break down User Stories efficiently, or accurately estimate the effort involved in various tasks.
Take the role of Scrum managers, for example. If their current team can deliver 200 stories in a two week sprint today, imagine what productivity gains can be achieved by the same team leveraging GenAI. Let’s say it can deliver a 25% productivity bump; all of a sudden, you’ve got 250 stories in your two week sprint and more space for that team to start thinking about frontier projects and true innovation.
AI is not going to cause a reduction in roles, it will make responsibilities redundant.
Through the implementation of AI-powered automation, various industries will experience a transformative shift towards streamlined operational processes and decreased need for manual labor, resulting in cost reduction. In this scenario, it’s possible that certain responsibilities within roles will become obsolete.
Organizations can utilize AI to automate tasks such as system monitoring, software deployment, and network optimization—essentially freeing up teams to focus on more strategic tasks. As companies embrace AI, they expand their potential for growth and innovative development.
Watch the Webinar
Don’t miss out on the opportunity to learn about the potential of Generative AI and its impact on the digital workforce. Our webinar, Generative AI: Savior or Saboteur of the Digital Workforce, provides valuable insights from two industry-renowned AI experts that can help you make informed decisions for your business.
View now to start learning about Generative AI and its role in shaping the future of work.