Gigster

To get to where you want to go in AI, you need to know where you stand today. Your industry peers are already assessing their AI readiness across critical dimensions: ?? Data Readiness: data availability, quality, and infrastructure. ?? People and Skills: in-house expertise, training programs, and leadership understanding. ?Technology and Infrastructure: computational resources, development tools, and integration capabilities. ?Existing AI Projects: current initiatives' success and scalability potential. ?? Strategy and Vision: alignment with organizational goals and executive support. Don't let assumptions hold you back: evaluate your organization's AI readiness. Take this 10-minute assessment and see where you stand:?https://lnkd.in/gdgwa2Wk A thorough readiness check is the first step towards successful AI adoption.

97% of companies are rushing to AI. Only 13% are actually ready. The AI readiness gap is widening, not closing. A structured AI readiness assessment is essential before investing. It helps avoid costly missteps and failed implementations. Comprehensive assessment evaluates five critical areas: ? Technology & Infrastructure ?Data Readiness ?Strategy & Vision ?People & Skills ?Existing AI Projects Understanding your readiness level reveals your position on the AI maturity spectrum: Level 1: Preparation & Exploration Level 2: Pilot & Experimentation Level 3: Production & Scale Level 4: Optimization & Expansion Are you at Level 1 or Level 4? Understanding your current AI readiness position clarifies your next strategic steps. Here's an in-depth breakdown of how to conduct a proper assessment: https://lnkd.in/eeZGqg9j

AI is complex. Jargon makes it worse. Confusion over terms like foundation models, brittleness, or neural networks can slow you down. We created a go-to glossary so you can find any AI term in one place—fast! We hope you find it useful! Check it out here https://lnkd.in/ezyARP3X

In 2025, companies will finally commit to remote, in-office, or hybrid working. No more back-and-forth. No more waiting to see what others do. With that decision comes a new challenge: having the right talent, at the right time. - AI-powered tools will redefine how teams collaborate. - Staff augmentation will bridge gaps in expertise. - Generalist hires will stay in demand. - Flexibility isn’t just an advantage, it’s a necessity. How is your company preparing for the shift? https://lnkd.in/d6S6Nf-n

AI is making work more efficient. But is it making us less capable? 73% of organizations say it’s important to keep human imagination on pace with AI. Only 9% are making real progress. Overreliance on AI can weaken critical thinking, creativity, and analytical skills. It reduces problem-solving ability and increases the spread of misinformation. But AI doesn’t have to replace thinking—it can enhance it. - Automate busywork to free up time for strategy and innovation. - Redefine jobs to focus on creativity and problem-solving. - Invest in training to strengthen critical thinking in an AI-powered world. Read the full story https://lnkd.in/dNr84ggx

Cloud platforms like AWS are evolving faster than ever, and keeping up is critical for developers. In this interview, Gigster's Jeremy Branham shares insights on staying current with platforms like AWS and Google Cloud, the role of certifications, and practical advice for developers—from early-career tips to navigating evolving cloud trends. Read Jeremy's take on why continuous learning and hands-on experience are key to mastering cloud development?https://lnkd.in/dTJ5kRCz

Choosing the right cloud provider for your enterprise AI application is as crucial as selecting the LLM itself. Key factors include: infrastructure compatibility, integration ease, privacy, scalability, and budget considerations. https://lnkd.in/gQvTgcVw

Enterprise AI applications fail due to 7 critical factors: 1. Unclear expectations 2. Overcomplicated implementations 3. Poor data quality 4. Incomplete system integration 5. Generic solutions 6. Model-specific issues 7. Inadequate change management https://lnkd.in/g6uVxdyP

Agentic AI enables autonomous, multi-step task execution, offering new business capabilities, but companies should first prepare data, infrastructure, and core AI systems before adopting it.

Cost-saving AI software development tips: ? Assess your needs beforehand ?? ? Leverage existing models ?? ? Optimize cloud costs ?? ? Outsource development ?? https://lnkd.in/gZ-DTS47