Outsourcing has been an important part of many big businesses’ plans since the 1990s. Many businesses have moved operations to places like Brazil, the Philippines, and India in the past to save money on labor costs. These countries now have inexpensive call centers and IT services. Because of this setup, which was made possible by fast data networks, work could be done almost as quickly as if it were done in person, but for a lot less money.

Artificial intelligence (AI) was the subject of an informative webinar titled “Navigating the CS Jungle,” hosted by Liam Martin, co-founder and chief innovation officer of Time Doctor, and featuring GQ Fu, CEO of LTVplus. AI is an essential part of modern customer service. As businesses strive to boost efficiency and enhance client experiences, artificial intelligence (AI) is becoming increasingly significant in the customer service industry.

For non-developers, AI can seem like a black box. The concept of AI prompting sends a chill down our spines, especially when we’re bombarded with complicated examples and techniques. Multi-agent prompting? Prompt chaining? ReAct prompting? Sounds too much like the CompSci 101 course we failed in college. But according to Ethan DeWaal, Asana’s AI Program Manager, AI prompting doesn’t have to be complicated.

We recently heard from some in the Slack community that our published privacy principles weren’t clear enough and could create misunderstandings about how we use customer data in Slack. We value the feedback, and as we looked at the language on our website, we realised that they were right. We could have done a better job of explaining our approach, especially regarding the differences in how data is used for traditional machine learning (ML) models and in generative AI.

AI’s starring role in workplace transformation is now undeniable. CEOs everywhere are asking senior leaders to create strategies for maximum AI impact, while frontline managers and their teams must navigate rolling out this new reality. AI feels like an imperative within all corners of the org chart. Eager to dig deeper, we turned to the latest research from Asana’s Work Innovation Lab, a think tank developing human-centered, cutting-edge research to help businesses evolve.

The EU parliament has approved its AI act, the world’s first recognized set of rules designed to regulate this technology. Under the act, AI solutions will be divided into risk categories, including an ‘unacceptable’ tier that will see models that pose systemic risk banned. The bill will come into force 12 months after it is made law and is subject to formal approval from ministers of EU member states.

Discover InsightsAI: the latest add-on from Insightful, designed to enhance workforce management with real-time data insights. Find out how the feature can simplify your decision-making process and help you build a more productive and agile workforce!

Zendesk was founded on the belief that CX could be better, bringing a beautifully simple, easy-to-use solution to the legacy world of expensive call centre technology. Nearly two decades later, we’re here to disrupt the industry once again – this time with AI.

By providing access to vast amounts of data and increasing computational power, AI and machine learning are changing how we work. In product development, this new technology is creating an opportunity for Agile teams to overcome the limitations of traditional processes and instead focus on more meaningful work.