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 eu1.hubs.ly/H09Kclt0

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 eu1.hubs.ly/H09Pb100

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. eu1.hubs.ly/H09_qV_0

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 eu1.hubs.ly/H0b5lyR0

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 eu1.hubs.ly/H0bc5vp0

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 Humberto Moreira: smartbrief.com/original/stay-…

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 eu1.hubs.ly/H0bldyT0

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? eu1.hubs.ly/H0bsQ_70

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. eu1.hubs.ly/H0bBsQT0

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. eu1.hubs.ly/H0bGCNn0

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: eu1.hubs.ly/H0bPxGp0

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. eu1.hubs.ly/H0bYt1M0

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 eu1.hubs.ly/H0c59-40

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. eu1.hubs.ly/H0crMRG0

Cost-saving AI software development tips: • Assess your needs beforehand 💲 • Leverage existing models 💲 • Optimize cloud costs 💲 • Outsource development 💲 gigster.com/blog/artificia…

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-a…

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…

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-ge…