As AI models like ChatGPT, other types of LLMs, and generative AI applications have integrated into our frameworks, the spotlight on ethical AI and need for standards has intensified. The adaptability of AI in human interactions requires the establishment of regulations and guidelines to ensure responsible usage

GlobalLink NEXT 2023 featured an insightful panel on the evolving landscape of generative AI. Our brilliant and entertaining speakers from Etsy, JP Morgan & Chase, TransPerfect and DataForce delved into the transformative potential of AI creativity, sparking engaging discussions with the audience. The event offered a unique exploration into the future of innovation.

In today’s fast-paced financial industry, data-driven decision-making has become increasingly important. Financial institutions are constantly looking for ways to improve their operations, better serve their customers, and stay ahead of the competition. To achieve these goals, they are turning to data to gain insights into customer behavior, market trends, and other factors that can impact their bottom line.

The world of artificial intelligence (AI) and machine learning (ML) has evolved at an unprecedented pace over the last few years. With the advent of new technologies, algorithms, and tools, businesses across industries are looking to automate tasks, make data-driven decisions, and improve efficiency.

In today's fast-paced digital era, businesses face numerous challenges when it comes to providing exceptional customer support and must stay ahead of the curve to meet the diverse needs of their global clientele. Among the countless innovations revolutionizing customer support, multilingual chatbots stand out as an indispensable asset.

In our rapidly evolving technological landscape, the introduction of Open AI’s ChatGPT, society's uptake of AI, and conversational AI (CAI) have emerged as major topics of discussion. Various AI-powered models have seamlessly integrated into our daily routines, from providing customer support to addressing our most pressing inquiries.

Customers are the lifeblood of any business. In today's competitive and accessible landscape, delivering exceptional customer experience is more critical than ever. A positive experience can foster loyalty and advocacy, and ultimately, drive growth. Incorporating data annotation into AI-powered processes can do just that.

Call centers play a critical role in delivering high-quality customer service, generating leads, and providing valuable insights into customer behavior and preferences. However, working through call center data/call center data preparation can be daunting, especially when dealing with large volumes of data from multiple channels, such as inbound customer calls, chat, email, and social media.

In the last two blogs, we discussed which jobs will benefit from generative AI and how generative AI could be used for malicious purposes. Let's see now how we can prevent the use of generative AI for malicious purpose. Preventing the malicious use of generative AI requires an approach that involves various stakeholders, including researchers, developers, policymakers, and the general public. Here are some steps that could be taken:

Industry leaders want to slow down the evolution of generative AI because they fear it may get out of control. Can AI really be a threat, and if yes, in what ways?

One of the most frequent conversation topics surrounding artificial intelligence (AI) is "which jobs will bereplaced by generative AI?" While we can't deny certain jobs are at risk, let's take a look at the opportunities that lie ahead, and which jobs can actually benefit from the latest wave in AI.