This isn't the AI that pop culture has conditioned us to expect; it's not sentient robots or Skynet or even Tony Stark's Jarvis assistant. This AI plateau is happening under the surface, making our existing technology smarter and unlocking the power of all the data that enterprises collect. What that means: Widespread advancement in machine learning (ML), computer vision, deep learning, and natural language processing (NLP) have made it easier than ever to bake an AI algorithm layer into your software or cloud platform. For businesses, practical AI applications can manifest in all sorts of ways, depending on your organizational needs and the business intelligence (BI) insights derived from the data you collect. Enterprises can employ AI for everything from mining social data to driving engagement in customer relationship management (CRM) to optimizing logistics and efficiency when it comes to tracking and managing assets.
Artificial intelligence (AI) is clearly a growing force in the technology industry. Chatbots and virtual assistants are becoming a key part of new products, and robots are taking center stage at conferences and showing potential in their roles in various industries like retail and manufacturing. Meanwhile, companies such as Google, Microsoft, and Salesforce are integrated AI as an intelligence layer into the entire tech stack. Yes, AI is now having its moment. This isn't the AI that pop culture has conditioned us to expect; it's not sentient robots or Skynet, or even Tony Stark's Jarvis assistant.
Artificial intelligence (AI) is clearly a growing force in the technology industry. AI is taking center stage at conferences and showing potential across a wide variety of industries, including retail and manufacturing. New products are being embedded with virtual assistants, while chatbots are answering customer questions on everything from your online office supplier's site to your web hosting service provider's support page. Meanwhile, companies such as Google, Microsoft, and Salesforce are integrating AI as an intelligence layer across their entire tech stack. Yes, AI is definietely having its moment.
This article was written by Sergii Gorpynich, co-Founder and CTO at Star, co-written by Perry Simpson, Managing Director of Star, and was written, edited and published in alignment with our transparent Emerj sponsored content guidelines. While it's easy to find healthcare AI use-cases online, it isn't clear which applications are viable, and which are hype. Healthcare leadership needs to consider the specific data assets, resources, and needs of their organizations before deciding on an AI initiative. In this article, we go into more detail about how executives need to adapt to the changes that AI might bring in businesses. Without a basic grounding in what AI can do and how it works, it can be impossible for executives to find and assess AI opportunity areas.
No organization can afford to sit back and ignore the potential of AI. Yet, rushing to adopt AI just because the technology exists can be just as damaging to a business. To fully realize the potential of AI – indeed, any new technology – you need to approach it with a clear business goal or need in mind. In other words, you need to identify and narrow down to the most valuable AI opportunities for your business (which means your approach could be quite different from that of your competitors). Let's explore each step in a little more detail.