Tech Talk with SparxWorks
In this episode, Chad speaks with William Newell, CEO and Co-Founder at SparxWorks, about insights on AI adoption for SMBs, emphasizing data readiness, clear objectives, and integration challenges.
In this episode, Chad speaks with William Newell, CEO and Co-Founder at SparxWorks, about insights on AI adoption for SMBs, emphasizing data readiness, clear objectives, and integration challenges.
Part 4 of 4:
Climate change is intensifying natural disasters, and IT outages are on the rise. Is your business prepared for floods, wildfires, or storms that disrupt entire regions? In this post, we explore forward-thinking strategies—from predictive analytics to Internet of Things (IoT) sensors—to help SMBs stay ahead of emerging climate-driven risks.
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Technology alone won’t save you when disaster hits. Even the most advanced IT systems can fail if employees don’t know their roles or communication lines crumble under stress. In this post, we explore how people, processes, and clear communication strategies elevate disaster recovery from a mere technology checklist to a robust, organization-wide discipline.
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Once you recognize the hefty toll of ignoring disaster recovery, the next logical step is to build a resilient IT infrastructure. In this post, we explore strategies—from robust backups to cloud-based failover systems—that ensure your business can bounce back quickly when disaster strikes.
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Natural disasters and disruptive incidents don’t discriminate based on company size. Yet many small and mid-sized businesses (SMBs) still don’t have a solid disaster recovery plan. In regulated industries like finance and healthcare, the stakes are even higher. In this post, we explore the real costs of ignoring disaster recovery—and why proactive planning can be the difference between resilience and ruin.
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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.
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Microsoft Copilot is transforming how SMBs operate by seamlessly integrating AI capabilities into daily workflows. From automating mundane tasks to providing actionable insights, Copilot helps businesses improve productivity and operational efficiency.
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As artificial intelligence (AI) becomes increasingly essential in the modern business landscape, small and medium-sized businesses (SMBs) must evaluate their readiness to adopt this transformative technology. While 30% of SMBs plan to invest in AI soon, only 26% of companies using AI have achieved substantial value, highlighting a significant gap between adoption and impact. This article explores how SMBs can assess their AI readiness, aligning organizational culture and strategic goals to ensure successful integration.
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