FADI KANAFANI , GENERAL MANAGER MIDDLE EAST , SOFTSERVE
Q & A
EDITOR ’ S
Although AI has been around for quite some time , its use cases for data security have only truly taken flight in recent years . While AI can pose risks to business data through data leakage , vendors and partners that embrace AI transformation will be better equipped to safeguard against cyber threats that exist today . Executives from SoftServe , Check Point Software , NetApp , Forcepoint , share their answers .
The rapid adoption of Generative AI presents a dual-edged reality for channel partners ; one of unparalleled opportunities and notable challenges . Generative AI can enable partners to diversify their offerings by integrating advanced capabilities like natural language processing , predictive analytics , and personalised automation . These tools allow partners to deliver transformative outcomes across industries such as healthcare , finance , and manufacturing .
Navigating Generative AI integration is complex . Ethical considerations , data privacy issues , and infrastructure demands , such as GPU shortages , remain significant barriers . SoftServe ’ s consultative approach can help mitigate these challenges , ensuring ethical AI
AS THE ADOPTION OF GENERATIVE AI PICKS UP PACE , WHAT ARE THE OPPORTUNITIES AND CHALLENGES FOR CHANNEL PARTNERS AROUND GENERATIVE AI ? SHOULD THEY REBUILD THEIR BUSINESS MODELS AROUND GENERATIVE AI OR IS IT TOO EARLY ? WHAT ARE THE SKILLS REQUIRED ?
FADI KANAFANI , GENERAL MANAGER MIDDLE EAST , SOFTSERVE
use , robust data management , and interim solutions like GPU-as-a-service .
Rebuilding business models entirely around Generative AI may be a premature move . Instead , partners should adopt a hybrid approach to enhance current services with AI capabilities while gradually scaling investments as the technology matures . This incremental strategy aligns with SoftServe ’ s recommended approach of addressing
Ethical considerations , data privacy issues , and infrastructure demands , such as GPU shortages , remain significant barriers .
immediate business needs while staying future-focused .
Critical skills for partners include expertise in AI , ML , an understanding of domain-specific challenges , and a commitment to responsible AI practices . Proficiency in implementing cloud-native solutions and integrating AI workflows into existing systems is equally essential . SoftServe ’ s collaborations with global leaders like NVIDIA , AWS , and Google provide access to advanced tools and training , enabling partners to upskill effectively and stay competitive .
The Generative AI revolution demands adaptability , collaboration , and ethical foresight . By leveraging SoftServe ’ s expertise and adopting a balanced approach , channel partners can unlock new revenue streams , enhance operational efficiency , and position themselves as innovators in a rapidly evolving AI-driven landscape .
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