The insurance industry has undergone significant changes over the years. The integration of advanced technologies such as artificial intelligence (AI) has paved the way for further evolution, offering improved efficiency, reduced costs and enhanced customer experience. Various AI applications are currently in use in the insurance industry, ranging from underwriting to claims processing. AI can help insurers evaluate risk more accurately by analyzing large amounts of data such as historical claims data, credit scores and social media activity--thereby enabling insurers to offer personalized coverage to customers and price policies more accurately. It can also aid in detecting and preventing fraud by analyzing data patterns and identifying suspicious activity, which can help insurers save money by reducing the number of fraudulent claims they pay out.

Nicholas Domnisch is the CEO & Partner of EES Health, an NYC-based software development agency empowering innovation in digital health. Since the release of ChatGPT, talk of artificial intelligence has taken over, and rightfully so. It presents a leap forward in our ability to automate processes and optimize cost efficiency. In the midst of a hype cycle, however, it is good to remain cautious. Do you remember when everyone got sucked into the NFT craze?

Peter van der Made is the founder and CTO of BrainChip Ltd. BrainChip produces advanced AI processors in digital neuromorphic technologies. The artificial intelligence (AI) revolution is upon us, and companies must prepare to adapt to this change. It is important to make an inventory of the current skills within the company to identify which additional skills the employees need to learn. The company does well in developing an AI strategy to outline the areas where AI is most effective, whether in a product or a service.

Boris Kontsevoi is a technology executive, President and CEO of Intetics Inc., a global software engineering and data processing company. AI used to be the stuff of sci-fi movies, but now it's all around us--computer vision and chatbots have become part of the standard business processes. Recently, artificial intelligence has reached its peak and made a breakthrough that has affected almost every industry, from high tech, telecoms, finance and healthcare to pharmaceuticals. The global AI market is expected to grow by more than $500 billion between now and 2030, according to various studies. IDC, a market research firm, predicted that the AI market will be worth over $500 billion by 2024.

Your digitally enabled workforce is swimming in communication at every turn. From email, Slack, Jira and back, there is no end to the volume of text and data corporate employees are tasked with reading. Is it any surprise that our reading habits have changed dramatically over the last decade? It turns out the modern workforce tends to skim and skip rather than read deeply for comprehension and introspection. Many digital influences, from our habitual scrolling through social media to the frantic pace of all-day meetings, have trained employees to minimize diligent reading and thorough comprehension practices.

By now, you've heard of ChatGPT--or more likely, you've heard that it's coming to take your job whether you're a programmer, journalist, musician or almost anything else. The OpenAI chatbot has been accessible to all for mere months, yet it has already amassed millions of users, impressing with its ability to write everything from code to essays and lyrics. You may have also heard that ChatGPT is about to set a fire under an already bubbling-hot cyber threat landscape, helping scammers write engaging, convincing and grammatically correct phishing emails or perfect malware code in seconds. While ChatGPT is certainly impressive, do we really need to worry about it upping the ante on already menacing threats? In short, the answer is no--but there's little to celebrate about that.

Artificial intelligence (AI) is an excellent and rapidly growing field that involves the development of algorithms and systems that continuously tend to perform tasks that typically require human intelligence. AI systems can process vast amounts of data, identify patterns, make predictions and automate repetitive tasks. Recent years have seen a rapid advancement in AI capabilities, resulting in its adoption across various manufacturing and finance industries. Despite the impressive capabilities of AI, it is essential to recognize that it still has limitations. While AI systems can process vast amounts of data and make predictions, they need more independent thought and creativity, often essential for scientific exploration and discovery.

Artificial intelligence (AI) made its presence known toward the end of the last year. Within a few months, more people uncovered that AI is more than just chat responses. The primary role of this kind of AI is to act as an expert and advisor in various fields. But AI now goes a step further and challenges--and sometimes even defeats--human skill to produce content and find resolutions. AI has also presented us with another side of the coin, which we have yet to decide how to trade: AI's impact on education and effort--how to engage children, students and even adults to not use AI as a cheat sheet but instead to leverage AI to enhance their analytics muscles, to get more angles to the story and to research subject matters in depth.

President of McorpCX and global CX influencer, helping companies radically improve how they connect with (and profit from) their customers. Generative artificial intelligence (AI) is having a moment. Essentially a broad category of AI algorithms that can create new content based on the data that's been used to train them, it includes text-driven algorithms like OpenAI's ChatGPT and Google's Bard chatbot, as well as image generators like DALL-E and Midjourney. This means you can ask one of these algorithms a question or to create something, and it does--something new and unique, based on the vast volumes of data they can learn from, interpret and respond to. At a cocktail party a few weekends ago, a friend jokingly asked ChatGPT to "write a country song in iambic pentameter about an accordion and a broken heart."

With Microsoft Bing amped up with its own generative artificial intelligence (AI) chat programming, there is little doubt that we are now in the era of AI being publicly part of our world. All the hype aside, will AI-type chat become as pervasive as we are hearing? I believe we will certainly get there, but there is still a long road ahead before it can be done successfully. Digital transformation is the process of using digital technologies to fundamentally change the way a business operates, delivers value to customers, and achieves its objectives. With, at best, only 26% of digital transformation being successful, what can leaders do to make sure they succeed when incorporating new digital tools?