#GenAI New unknown Guest or New Friend ?

What Smart phones did to the conventional Telephony is what #GenAI would be doing to your #EnterpriseIT in next 5 years. But But But.... How is GenAI different from conventional AI we thought about so far , how is it different from our conventional Automation Models ?

What if the biggest source of Vulnerabilities , IP thefts or Privacy Issues in Enterprise Environment by 2025 might be Non Enterprise or Non Standard #GenAI solutions getting introduced in ecosystems through Shadow IT and Shadow DevOps ?

Worldwide estimates say more than 25 million Developers are creating 1000s of #GenAI Libraries and models everyday at a speed, unheard in history and whats is frightening is that Enterprises are consuming them consciously or unconsciously without any preview, validations or fine tuning as per their Pre-GAI Enterprise Policies.

Although every AI Model will be a catalyst for Business growth but has a greatest risk of taking control mechanism beyond your wisdom and perceptions. The Job of #CSO #CIO or #CTO hence becomes more than just custodians.

Business will come to them sooner or later or else they may be highly dependent on #GenAISharks where Less Customized as a Service model becomes larger liability.

Whether its #Bard #Bedrock #GPT , as it grows they might become least effective and costly affair for business unless enterprise level remodelling is done with firm compliance procedures.

One has to be certain about the new guests in ones lobby, with trained Models keeping its data and IP safe and relevant for future. Most Enterprises are waiting for #harrypotter to rise when #Draco is there inside the system and you aren't sure about the #SeverusSnape loyalty.

What enterprises generate will be of greatest Value to them but the definitive scratch up Sovereignty needs biggest handle for extensive fine tuning to create High performance Platforms with Integrated GenAI Stacks of functional Hardware to data management modelling.

The results of #BloombergTerminal or #IndexGpt of JPMorgan is one great example from accelerated Computing using #GenAI ready Operating systems, leveraging own Stacks with Expertise.

Like Cloud , early mover advantages might also mean steep learning curves to create AI Expertise indigenously and embedding it their core products.

However , successful Enterprises wont just adopt to the #GenAI but adapt to the H2H Target Operating models using futuristic view of #Nvidea through #Nemo #BioNEMO #Picasso to make sure that #GenAI is their servant and not the future master. Beyond this one must think through that Security & Compliance Policies wont be able to take you into next lap. It time for #readiness in midst of so many uncertainties. Are you writing the extensive Scope for GenAi Workstream for next 10 years in your contracts ?

As you embark the #GenAI journey, #AskusHow the operating models must be remodelled with enterprise led #GenAI edeucated Organisation for #OCM through #GenAI Operating Models.

lets solve #BusinessProblems with TCS as partner to #ExperienceCertainity :) in #GenAI Hybrid World.