AI

Artificial Intelligence Software Development on a Budget

Cost-saving AI software development tips include assessing needs, leveraging existing models, optimizing cloud costs, and considering outsourced development.
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6 Change Management Strategies To Avoid Enterprise AI Adoption Pitfalls

To avoid enterprise AI adoption pitfalls, organizations should implement six key change management strategies: understand AI's organizational impact, align stakeholders and leadership, address resistance, create training programs, monitor adoption success, and develop a comprehensive change management plan.
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How Much Does it Cost to Develop Artificial Intelligence Applications?

AI development costs vary, but understanding key factors and exploring options like fine-tuning existing models or off-the-shelf solutions can help manage budgets effectively.
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How to Evaluate Artificial Intelligence Development Services

Evaluate AI development services by assessing their industry expertise, technical knowledge, track record, use of automation, custom software development experience, data security protocols, and delivery model.
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How to Detect (and Avoid Creating) Bad Generative AI

To avoid creating bad generative AI, understand its limitations, use high-quality data, implement guardrails, and validate with real-world testing to prevent issues like bias, hallucinations, and brittleness.
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Taking Generative AI from Proof of Concept to Production

Learn how to write an effective business case for custom software development. This guide explains how to secure project approval, articulate goals and opportunities, and make informed decisions through a comprehensive assessment.
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How Businesses Can Discover and Prioritize AI Opportunities

Prioritize AI business opportunities with 3 proven steps: determine strategic alignment, identify bottlenecks, and research industry trends.
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AI and Manufacturing: Enhancing Efficiency, Accuracy and Safety

Across a broad variety of applications, manufacturers are adopting AI and machine learning tools at a rapid pace.
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What's the Difference Between AI and ML?

We'll discuss the differences between AI and ML to help you understand these distinctions to navigate the tech landscape better and harness their unique benefits for innovation, efficiency, and growth.
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How AI Shapes the Future of Critical Thinking

Understanding how Artificial Intelligence shapes the future of critical thinking provides valuable insights into how your company can leverage AI to enhance decision-making processes, problem-solving abilities, and overall organizational intelligence.
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9 Best ChatGPT Alternatives in 2024 (Free & Paid)

ChatGPT has been the leading online AI chatbot since its launch. Check out our list of the 9 best alternatives to ChatGPT to aid with research, coding, & more.
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Why AI-Powered Distributed Teams Will Have an Advantage in 2023

Combining AI with distributed, global teams promises to revolutionize how we work, collaborate, and approach software development in the enterprise in ways that were previously unimaginable. This article explores the power of AI-powered distributed tools and teams and why it’s the way to go in 2023 and beyond.
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