Generative AI has the potential to revolutionize the way businesses operate. However, successfully adopting Generative AI requires careful planning and execution. An implementation roadmap serves as a detailed guide that outlines the steps needed to integrate AI into your business processes. In this blog post, we’ll explore the key components of a successful Generative AI
As businesses increasingly look to Generative AI to drive innovation, improve efficiency, and stay competitive, strategic planning becomes a critical step in ensuring successful adoption. A well-thought-out plan lays the foundation for integrating AI into your business operations, aligning it with your goals, and maximizing its potential benefits. In this blog post, we’ll dive into
Today’s enterprises are increasingly turning to Generative AI to drive innovation, improve efficiency, and gain a competitive edge. However, before diving headfirst into adopting this transformative technology, it’s crucial to assess whether your organization is truly ready. This involves a careful examination of various factors, including your organizational culture, the clarity of your business objectives,
Customer service can be a hit or miss experience. One bad call with a customer service agent can easily sour your mood for the entire day. But what if artificial intelligence (AI) could transform this experience for the better? According to a recent survey by Cogito, a company specializing in AI-driven customer service, the answer
In the evolving landscape of artificial intelligence (AI), a crucial shift is taking place that promises to revolutionize how businesses harness the power of AI. Traditionally, the approach has been to bring data to AI models. However, a more effective strategy is emerging: bringing AI models to the data. This shift in perspective can address
Artificial intelligence (AI) is a present-day reality transforming how businesses operate. A recent survey by Cloudera reveals that while most enterprises (90%) are adopting AI, many are struggling to unlock its full potential. This struggle is primarily due to outdated infrastructure and significant skills gaps. Understanding these challenges and addressing them empathetically can help businesses
Yesterday, CrowdStrike, a well-known cybersecurity company, experienced a significant issue with its threat-monitoring software, Falcon Sensor. This problem led to a massive global IT disruption affecting numerous industries. In this post, we’ll break down what happened, the technical issues involved, how the problem was resolved, and the overall impact of the outage. CrowdStrike’s Falcon Sensor
In the fascinating world of AI, hallucination doesn’t refer to seeing pink elephants. Instead, it means when an AI confidently provides information that’s completely fabricated. Picture asking your phone for the nearest pizzeria and it gives you an address for a restaurant that doesn’t exist. That’s an AI hallucination. Practical Examples of AI Hallucination Why
Despite the significant hype around generative artificial intelligence (GenAI), most companies are hesitant to invest heavily in the technology. A recent report by Genpact and HFS Research reveals that only 5% of global organizations have achieved mature GenAI initiatives, while 45% are adopting a wait-and-watch approach. This hesitation stems largely from a narrow perception of
Frustrated customers often receive incorrect products, damaged items, or packages in poor condition. To tackle these issues, Amazon is deploying computer vision and AI to ensure products arrive in pristine condition and to bolster its sustainability efforts. Dubbed “Project P.I.” (short for “private investigator”), this initiative operates within Amazon’s North American fulfilment centres, scanning millions