Intelligent Tech Channels Issue 79 | Page 37

FUTURE TECHNOLOGY
Key takeaways
Reality check
• Businesses have witnessed tectonic shift from outdated , rigid , siloed systems to modern digital platforms that give modularity and agility .
• Integrating legacy systems involved custom-coded interfaces , point-to-point connections , which were inflexible and hard to maintain .
• System integration today focuses on connecting modern digital platforms using APIs , microservices , cloud-native architectures .
• This shift allows for scalability , flexibility , interoperability , enabling businesses to adapt to new technologies and demands .
• One of the advancements we have seen is around real-time data processing that gives businesses ability to make wellinformed decisions .
Challenges
• Every piece of technology comes with its own set of standards and protocols .
• Rapid advancements in technology can put channel partners into a constant and continuous learning curve .
• This involving substantial investments and efforts in training failing which SI services can become obsolete .
• Rapid pace of technological change requires continuous learning and adaptation which can strain resources .
• Integrating disparate systems , particularly in hybrid and multicloud environments can become complex and requires deep technical expertise .
• Ensuring data security and compliance across various platforms is another critical challenge .
• Managing client expectations and delivering consistent , highquality service amid evolving demands can be difficult .
• Integrating diverse systems and platforms can be complex , and ensuring security across interconnected environments poses significant risks .
• Competitive landscape requires partners to deliver quick , costeffective solutions while managing resource constraints and maintaining margins .
• These challenges demand a strategic approach and robust capabilities to meet client expectations effectively .
Skill sets
• Providing modern SI services requires a diverse skill set .
• Learning AI models and how they can be deployed on legacy or modern systems and frameworks is a major prerequisite as well .
• Strong project management skills act as a line determining the success of a project .
• Technical skills in cloud computing , AI , and machine learning are essential for designing and implementing advanced solutions .
• Proficiency in programming languages , API management , and microservices architecture is crucial for integrating various digital platforms .
• Knowledge of cybersecurity practices is vital to protect data and ensure compliance .
• Soft skills such as communication , project management are important to collaborate with stakeholders and deliver successful projects .
• Continuous learning and certification in emerging technologies are crucial to stay competitive and meet client demands .
Innovation
• Upgrading to digital platforms has opened new opportunities for channel partners to enhance their system integration services .
• Channel partners can now excel in assessment of existing IT environments , planning and execution of projects , adding layers of cloud security .
• Channel partners can offer designing and implementing hybrid cloud environments , developing AI and ML solutions , and automating workflows .
• Channel partners can offer specialised expertise in deploying advanced technologies , enabling businesses to optimise IT infrastructure .
• Modern opportunities allow channel partners to differentiate themselves and offer comprehensive solutions for clients .
INTELLIGENT TECH CHANNELS 37