Read about the latest trends in blockchain, NFTs, artificial intelligence / machine learning, IOT, and cloud from some of the world’s foremost subject matter experts:
3 Steps to Build a Great Dedicated Software Development Team
Assembling the best software development teams involves considering both technical skills and soft skills - including personality types, emotional intelligence, and team dynamics.
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.
How To Ensure Successful Outcome-based Software Development
Outcome-based software development focuses on achieving specific goals and solving problems rather than just implementing features, emphasizing clear communication, well-defined objectives, and a detailed roadmap to ensure project success.
Complete Guide to Custom Software Development Services
Custom software development services need to handle ideation, team assembly, project management, and risk management effectively to ensure successful project outcomes.
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.
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.
How Software Development Outsourcing Benefits from the Human Cloud
Outsourcing software development provides cost savings, access to a global talent pool, faster time to market, and enhanced flexibility and scalability through the human cloud, which consists of freelancers and contingent workers hired as needed.
How Contingent Workforces Improve Software Outsourcing
Leveraging contingent workforces in software outsourcing allows companies to efficiently tap into specialized global talent, enhance flexibility and productivity, and reduce costs by engaging experts only when needed.
Data-driven decision-making, automation, and performance tracking could either result in a utopian or dystopian reality. Does the future of work mean an improved work-life balance, or workers being treated as expendable resources?
Talk of “The Big Stay” Misses the Point of the Future of Work
While the narrative around "The Big Stay" suggests a shift in power back to employers, this perspective fails to recognize the lasting importance of flexible, meaningful work.
The Science Behind Why Outsourced Development Teams Succeed
Outsourced development teams drive innovation by providing fresh perspectives, mitigating cognitive biases, and overcoming in-house analysis paralysis.
Why Quarterly Performance Reviews Have Become Irrelevant
As organizations become more distributed and data-driven, traditional quarterly performance reviews are becoming obsolete in favor of real-time, quantitative performance metrics that provide more immediate and objective feedback.
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.
Why Software Companies Need Product Ideation to Ensure Business Success
Software companies need product ideation to effectively gather, prioritize, and implement ideas, ensuring that their products address critical problems and align with user needs.
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