We deliver software tailored to your needs backed by our AI-driven platform, global talent network, and a decade of building cloud-based teams.
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Joined October 2014
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Don't let assumptions hold you back: evaluate your organization's AI readiness. Take this 10-minute assessment and see where you stand: gigster.com/ai-readiness
A thorough readiness check is the first step towards successful AI adoption.
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.
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.
gigster.com/blog/gpt-vs-gemi…
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
gigster.com/blog/7-reasons-w…
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.
gigster.com/blog/what-is-age…
Cost-saving AI software development tips:
• Assess your needs beforehand 💲
• Leverage existing models 💲
• Optimize cloud costs 💲
• Outsource development 💲
gigster.com/blog/artificial-…
Assembling the best software development teams involves considering both technical skills and soft skills including personality types, emotional intelligence, and team dynamics. Taking these factors into account will help you deliver successful projects.
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To avoid enterprise AI adoption pitfalls, organizations should:
• Understand AI's organizational impact
• Align stakeholders
• Address resistance
• Create training programs
• Monitor adoption success
• Develop a change management plan
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Outcome-based software development focuses on achieving specific user-centric goals and solving problems rather than just implementing features, emphasizing clear communication, well-defined objectives, and a detailed roadmap to ensure project success.
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Custom software development services need to handle ideation, team assembly, project management, and risk management effectively to ensure successful project outcomes. Here's a complete guide for using them well:
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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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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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The benefits of the #humancloud are clear, but how exactly can businesses adopt them when outsourcing software development?
Has your organization cracked the logistics of managing distributed teams & contingent work? What tools & processes work for you?
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Contingent workforces can help companies:
💁Fill gaps with efficient and agile teams
💁Gain global talent and niche expertise
💁Achieve greater flexibility and productivity
💁Reduce software development costs
#futureofwork #softwareoutsourcing
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Companies need to embrace global remote work and skills-based hiring to stay competitive in the evolving talent landscape. Orgs should leverage a worldwide workforce, remove degree reqs, and utilize fractional work.
New article by @humbertomoreira:
smartbrief.com/original/stay…
The future of work could lead to either a tech-enabled utopia with global collaboration and improved work-life balance, or a dystopia where workers are mere cogs in the machine. Which path will we take? #FutureOfWork #RemoteWork #AI
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According to @ADP "The Big Quit" of 2022 and 2023 could be easing into "the Big Stay.” This doesn’t mean employers should roll back on all the changes they made to engage and incentivize workers #futureofwork
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Managers have called the rising practice of working two jobs theft, unethical, and deceptive.
But who cares?
If your org fears employees working multiple jobs, you should re-evaluate how you are making use of the #futureofwork.
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Research shows that cognitive biases can cripple innovation when companies are too insulated from outside perspectives. Does your company use #outsourcing to get fresh thinking and diverse experiences? #softwaredevelopment
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How much weight does your company put into manager performance reviews vs quantitative performance metrics? Have quarterly performance reviews become a thing of the past? #futureofwork #HR
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