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#Allaboutai Reel by @live_mint (verified account) - Agentic enterprise: Why Indian industry is primed to lead the AI shift | #AllAboutAI Ep 16 On Mint's series partnered with @salesforce we talk about
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@live_mint
Agentic enterprise: Why Indian industry is primed to lead the AI shift | #AllAboutAI Ep 16 On Mint's series partnered with @salesforce we talk about the how India today has the right mix of talent and technology to lead the global shift towards building enterprises with agentic AI at its core. Watch Episode 16 where Abhishek Singh, Deputy Editor, Mint is joined by Srini Tallapragada, President & Chief Engineering & Customer Success Officer and Arun Kumar Parameswaran, EVP and MD of Salesforce South Asia.
#Allaboutai Reel by @atpinsights - Enterprise adoption of AI agent platforms is reaching an inflection point, according to Anirudh Narayan from lyzr.ai. Within the next year, major orga
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@atpinsights
Enterprise adoption of AI agent platforms is reaching an inflection point, according to Anirudh Narayan from lyzr.ai. Within the next year, major organizations will gain the knowledge and capability to build and deploy agents independently, reducing their reliance on external delivery services. The shift is already visible in partnerships with global system integrators like Persistent and IBM. These large firms are requesting platform access, hands-on training, and three to six month engagements to build out AI agent capabilities internally. The pattern suggests enterprises are moving toward self-sufficiency. Rather than outsourcing agent development, organizations want to acquire the skills and tools to drive this technology internally. This represents a natural maturation curve, similar to how companies evolved from consulting-dependent cloud adoption to in-house cloud engineering.
#Allaboutai Reel by @dr_sunetri_ayurveda - The ONE strategy AI can't beat Everyone keeps debating whether AI will replace jobs. But a smarter question is emerging, where do you go next? A sm
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The ONE strategy AI can't beat Everyone keeps debating whether AI will replace jobs. But a smarter question is emerging, where do you go next? A small group of people already knows the answer. And they’re quietly positioning themselves there.
#Allaboutai Reel by @smartaibyteshq - India's IT workforce has a new threat - and it's inside the boardroom. CFOs globally are now budgeting with AI replacing routine roles. Agentic syst
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India's IT workforce has a new threat — and it's inside the boardroom. CFOs globally are now budgeting with AI replacing routine roles. Agentic systems already run 47-agent enterprise pipelines in production. If your skills are routine, you are already on someone's cost-cutting slide. The professionals who understand and operate AI will not be on that list. Follow @SmartAIBytesHQ for daily signals from the AI frontline. #AI #ArtificialIntelligence #AIAgents #FutureOfWork #TechLeadership #DigitalTransformation #FinTech #IndianTechProfessionals #AIJobs #SmartAIBytes #SmartAIBytesHQ
#Allaboutai Reel by @financialsranjan - AI Agents Replacing Software? | Impact on TCS & Infosys! #AI #OpenAI #SaaS #Software #TCS #Infosys #ArtificialIntelligence #Tech #Finance #Business #
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@financialsranjan
AI Agents Replacing Software? | Impact on TCS & Infosys! #AI #OpenAI #SaaS #Software #TCS #Infosys #ArtificialIntelligence #Tech #Finance #Business #shorts
#Allaboutai Reel by @automatewithmarcus - AI Startups' Secret! Google and Accel unveil 5 top picks from 4000 pitches. Discover why these matter for business automation! #AI #TechNews #Innovati
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@automatewithmarcus
AI Startups' Secret! Google and Accel unveil 5 top picks from 4000 pitches. Discover why these matter for business automation! #AI #TechNews #Innovation
#Allaboutai Reel by @atpinsights - Enterprises are increasingly building multi-agent systems rather than relying on single AI tools, says Anirudh Narayan from lyzr.ai. Several factors d
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@atpinsights
Enterprises are increasingly building multi-agent systems rather than relying on single AI tools, says Anirudh Narayan from lyzr.ai. Several factors drive this shift. Vendor lock-in is a key concern. Recent political developments have heightened awareness of dependency risks. Concerns about data usage and model training have also motivated organizations to diversify their AI provider base. Beyond business considerations, each AI model has different strengths. Specialized models excel at specific tasks. For research-heavy work, one might use Perplexity or Claude, known for comprehensive information gathering. For reasoning and content creation, other models have clear advantages. Video processing requires different optimization. A multi-agent architecture allows each agent to run the most appropriate model for its specific function. Infrastructure platforms like lyzr.ai enable this by letting organizations independently select models and optimize each agent for its particular workflow. This modular approach provides both resilience and performance optimization across diverse AI workloads.
#Allaboutai Reel by @gyde.ai - How to make AI Agents successful in production? Hear Sudhanshu Hate explain what makes them hold up under live use. Catch the full episode 👉(Link i
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@gyde.ai
How to make AI Agents successful in production? Hear Sudhanshu Hate explain what makes them hold up under live use. Catch the full episode 👉(Link in the bio) #AgenticAI #EnterpriseAI #AITransformation #AIinProduction
#Allaboutai Reel by @bangalore.exe - OpenAI has warned prospective investors that its deep reliance on Microsoft poses a significant business risk, according to a recent financial documen
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OpenAI has warned prospective investors that its deep reliance on Microsoft poses a significant business risk, according to a recent financial document. Despite receiving billions in funding from Microsoft and preparing for a potential IPO, OpenAI highlights the need to diversify its partners to avoid adverse effects. #OpenAI #Microsoft #SamAltman #AINews #TechRisk #IPO #Funding #SiliconValley #IndiaTech #BusinessStrategy #Innovation #ArtificialIntelligence #TechPartnership #FutureOfAI #CorporateNews 🔗 Source: https://timesofindia.indiatimes.com/technology/tech-news/after-billions-of-funding-and-multi-year-deal-sam-altman-calls-microsoft-risk-for-openai/articleshow/129768725.cms
#Allaboutai Reel by @neel_mevada93 - 3 Ways AI Agents Will 10X Your Team's Productivity 🚀🤖 #agenticai #aiagentsproductivity #futureofwork #aiatwork #employeeproductivity businessautoma
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@neel_mevada93
3 Ways AI Agents Will 10X Your Team's Productivity 🚀🤖 #agenticai #aiagentsproductivity #futureofwork #aiatwork #employeeproductivity businessautomation workplaceai smartwork aiimplementation startupindia foundermindset businesspodcast airevolution digitaltransformation gruntworknomore
#Allaboutai Reel by @theviviennewei - Context transforms AI into enterprise intelligence. In this episode of AI Heroes & Headaches, I speak with Ravi Loganathan, EVP of Salesforce (@sales
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@theviviennewei
Context transforms AI into enterprise intelligence. In this episode of AI Heroes & Headaches, I speak with Ravi Loganathan, EVP of Salesforce (@salesforce) Data 360, to explore how Intelligent Context is redefining enterprise AI by aligning agents to specific personas, objectives, and real-world workflows. Ravi Loganathan shares how Salesforce moved beyond generic retrieval to design agents that interpret the same content differently based on who is asking and what they are trying to accomplish. This shift encourages enterprise leaders to: - Architect agents around distinct user roles, from dealers to customers to legal teams. - Design for specific use cases instead of treating every query the same. - Move beyond simplified RAG approaches to deliver precise, relevant outcomes. Enterprise AI delivers stronger results when the same content is interpreted differently for different roles. 🔗 Catch the full episode, link in the bio! 👆 #AIHeroesAndHeadaches #AIForAll #AI #AgenticEnterprise #AgenticTransformation #AILeadership #WorkflowIntelligence #DigitalTransformation #Salesforce #EnterpriseAI #CIOLeadership
#Allaboutai Reel by @theofflinenetwork (verified account) - Why Most Teams Fail at AI Adoption? Responding to the gap between AI hype and real adoption, Rishab Ladha, Head of GTM at Epic World, explains why mo
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Why Most Teams Fail at AI Adoption? Responding to the gap between AI hype and real adoption, Rishab Ladha, Head of GTM at Epic World, explains why most enterprise AI implementations fall short. The problem is not access, it is execution. Teams often do not know what “good” looks like, and many AI initiatives fail because the person implementing the solution is not a subject matter expert. His view is that successful AI adoption usually comes down to a two-person dynamic. One, a domain expert who understands the problem deeply. Two, an operator who knows how to leverage AI tools and iterate quickly. He also points to a shift in what enterprises want. Less dashboards, more outcomes. While PLG can help test ideas, real adoption requires going deep into workflows, data systems, and day-to-day operations. That is where the Palantir playbook comes in. Forward deployed engineers working closely with teams to embed AI into core processes and drive actual business impact. The takeaway is clear. Enterprise AI is not a plug-and-play story. It is built in the trenches, where execution, context, and tight feedback loops matter most. #AI #ArtificialIntelligence #EnterpriseAI

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