The Human Resources (HR) department is the backbone of any company. The responsibilities of HR teams are not limited to managing employee data and ensuring compliance but also to look after the strategic decision-making process. Data analytics has made it possible for HR professionals to streamline their operations and improve the efficiency of HR processes.

Despite the accelerating pace of Generative and Conversational AI innovation disrupting contact centers, today’s customer experience (CX) agents are under the same pressure points as always – business performance pressures from one side and demanding customer expectations from the other.

The world is experiencing a defining moment for humanity: after years of advances, artificial intelligence is having its coming out party. When experts compare it to the invention of the printing press or the Internet, that’s not hyperbole. AI will revolutionise huge segments of our society, and while the full ramifications of this technology cannot be fully known – after all, AI continues to rapidly evolve – Zendesk expects it to affect every single customer touchpoint.

Even if you’re not familiar with generative AI or large language models (LLMs), you’ve probably heard of ChatGPT, the remarkably human chatbot that can generate surprisingly conversational answers, passable college essays – and even dad jokes.

As you likely will have heard by now, Google's old Universal Analytics will finally stop processing data on July 1 2023, with the newer Google Analytics 4 (GA4) taking up the mantle. And although most businesses use Google Analytics, most businesses don’t have a dedicated analytics specialist.

Service teams have lots on their plates right now, and customers expect seamless, instantaneous customer support. And while AI can certainly be used to make support agents' lives easier, it's too difficult to implement without an army of developers and accruing high costs…right? Not quite. Zendesk has made AI tools that are accessible to companies and teams of all sizes.

As AI applications become more sophisticated, they can increase productivity in many ways. By automating mundane activities, AI can free up staff time to work on more engaging tasks. Smart algorithms can also help companies identify patterns and trends that traditional methods may have missed. This article explores the potential of AI to improve productivity and reduce labor costs. Whether you’re a small business or a large enterprise, AI can help you be more efficient and save money.

Financial services are at a pivotal point in the industry. The meteoric rise of NFTs and cryptocurrency has given way to rumblings of a pending recession, fuelled by the collapse of several notable banks in recent months. As we emerge from the pandemic, however, some things haven’t changed: virtual work is the new normal. Many employees are still remote and customers expect to connect with your company on their mobile devices.

Even Fintech companies are not immune to financial crises. In the last few weeks, we’ve seen banking systems collapse with yet another rise in interest rates by the Fed. Global financial regulators agree that the banking system is secure, healthy and flowing with cash. However, while that may be so, all that borrowing and decrease in consumer confidence shows just how much strain is on the financial system – and fintech customer experiences.