Insights

As artificial intelligence continues to transform the business landscape, today’s CEOs face critical decisions surrounding AI's role in the workplace. To navigate this rapidly evolving environment, it’s essential for leaders to have a clear grasp of the most important AI terminology and foundational concepts. Understanding what AI models are, what they can actually deliver for your business, the considerations for their secure implementation, and how to strategically leverage these technologies are now critical skills for executive leadership.

Join PulseOne on September 17th for a live event at the Microsoft Tech Center in Irvine, "The AI Advantage: Unleashing Copilot Agents Across Microsoft 365 and Dynamics 365". The event will feature speakers from Microsoft, Queue Associates, AvePoint, TouchBrick, and PulseOne to deliver insights and real-world strategies for integrating Copilot capabilities into your Microsoft 365 and Dynamics 365 workflows.

In this episode, Chad talks with Jason Melo, CTO and Co-Founder of TouchBrick, to explore its solution that strengthens organizational data security when working with generative AI chatbots. Jason holds over 15 years of expertise in developing secure, scalable systems across web, mobile, AI, blockchain, and cloud platforms.

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As small and mid-sized businesses (SMBs) increasingly leverage data for AI initiatives, they face a critical challenge: how to utilize sensitive information while maintaining privacy, security, and compliance. Traditional approaches like redaction—simply removing or masking sensitive elements—often strip data of its utility for AI training and analysis.

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As AI adoption accelerates among small and mid-sized businesses, the focus often centers on capabilities and benefits. However, equally important—yet frequently overlooked—are the significant risks associated with AI training data. From compliance violations to bias perpetuation, the data you use to train AI systems can introduce substantial business, legal, and reputational risks.

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In today's rapidly evolving technological landscape, AI has moved from buzzword to business necessity. But for small and mid-sized businesses, the path to AI implementation isn't always clear. While enterprise organizations deploy dedicated data science teams and custom solutions, SMBs need more accessible approaches. This is where AI augmentation shines – offering targeted AI capabilities that enhance existing systems and workflows rather than replacing them wholesale.

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Artificial Intelligence (AI) has become an essential tool for executives looking to gain a competitive edge, streamline operations, and improve decision-making. For small-to-medium business (SMB) executives, Large Language Models (LLMs) offer capabilities that were once reserved for enterprise-level organizations. From automating workflows to generating insightful analyses, these tools can help you stay ahead in a fast-paced market.

This blog post compares the leading LLM models available today, highlighting their strengths, limitations, and practical use cases. We’ll focus on ChatGPT, CoPilot Agents, Claude, Gemini, and Grok, providing insights into how each model can be a powerful tool for SMB executives. Additionally, we’ll examine how certain LLMs leverage tools like web search, vision, and text-to-video generation, providing added value through their subscriptions.

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Artificial intelligence (AI) offers unparalleled opportunities for businesses to innovate and grow. Yet, as powerful as AI can be, it also brings challenges—especially around data privacy, security, and ethical use. For small and medium-sized businesses (SMBs), understanding and addressing these issues is not just important but essential to mitigating risks, building trust, and maximizing AI’s benefits.

This article explores the compliance and ethical challenges posed by AI and offers actionable strategies to help SMBs navigate these complexities while leveraging tools like Microsoft Copilot responsibly.

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Small businesses are reaping the benefits of AI by boosting productivity and enhancing customer experiences. With 73% of businesses reporting time savings and 55% saving money through AI, the potential for transformation is undeniable.