Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation

MIT CSAIL researchers develop tool for creating domain-specific languages

How IBM Is Redefining Enterprise Transformation with Responsible AI

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • Adobe Sensi
    • Aleph Alpha
    • Alibaba Cloud (Qwen)
    • Amazon AWS AI
    • Anthropic (Claude)
    • Apple Core ML
    • Baidu (ERNIE)
    • ByteDance Doubao
    • C3 AI
    • Cohere
    • DataRobot
    • DeepSeek
  • AI Research & Breakthroughs
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Education AI
    • Energy AI
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Media & Entertainment
    • Transportation AI
    • Manufacturing AI
    • Retail AI
    • Agriculture AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
Advanced AI News
Home » How IBM Is Redefining Enterprise Transformation with Responsible AI
IBM

How IBM Is Redefining Enterprise Transformation with Responsible AI

Advanced AI BotBy Advanced AI BotMay 24, 2025No Comments4 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


Introduction: As artificial intelligence moves from experimentation to enterprise-wide adoption, the real question is no longer if companies should use AI—but how. From intelligent automation to customer experience and business model redesign, AI is reshaping how organizations operate, innovate, and grow. But with this power comes responsibility—around ethics, transparency, and human-centric design. In this exclusive conversation, Rishi Aurora, Managing Partner, IBM Consulting India & South Asia, shares how IBM is helping clients harness AI not just for efficiency, but for sustainable, Trustworthy transformation.

Q: How is IBM viewing the evolving role of AI in the consulting industry?

Rishi Aurora: We are witnessing a fundamental shift. A few years ago, discussions around automation or AI were rare. Today, almost every client conversation includes expectations around AI—how it will drive productivity and efficiency.

We believe we are entering a new era, led by AI, and IBM Consulting is positioned at the forefront of this transformation. What used to be technology transforming businesses has now evolved into AI transforming technology itself.

With our platform, IBM Consulting Advantage, consultants are empowered with pre-built AI accelerators, enabling up to 50% gains in productivity in pilot implementations. In India especially, AI is driving transformation across financial services, retail, and healthcare with remarkable speed.

Q: What are Indian CXOs experiencing as they implement AI, and can you provide examples from IBM’s work?

Rishi Aurora: Most CXOs have moved past experimentation and are focused on real, scalable programs. Our research shows that 76% of Indian enterprises report a return on investment from AI, and 93% believe it will play a role in multiple use cases across their organization.

For example, in BFSI, we’ve helped reduce KYC processing time by 40% using intelligent automation. In retail, AI-led demand forecasting has streamlined inventory cycles. In customer support, virtual agents are streamlining manual agent onboarding times by nearly 40%.

A notable example comes from the cement industry. During a merger and consolidation phase, a client was struggling with product deviations across plants. Using watsonx models, we reduced root cause analysis time from hours to just five minutes, dramatically improving production outcomes and operational clarity.

Q: What risks and challenges do organizations face when scaling AI? How does IBM address responsible AI implementation?

Rishi Aurora: The biggest challenge is trust. While adoption is rising, only 20% of enterprises feel confident moving AI into full production. Key barriers include a lack of skilled talent, fragmented data governance, and unclear accountability frameworks.

Our solution is rooted in the principles of Responsible AI, governed by the Five Pillars of Trust:

Explainability – Clear visibility into how the AI model arrives at decisions.Fairness – Elimination of bias across gender, caste, geography, or social parameters. Robustness – Ability to scale, remain secure, and operate reliably under stress. Transparency – Full disclosure and auditability of the AI systems in use. Privacy – Data protection aligned with regulations and ethical boundaries. 

Using watsonx we provide comprehensive monitoring across the model lifecycle—capturing metadata, detecting drift, and integrating seamlessly with other platforms like Amazon SageMaker.

Q: How is this transformation impacting consultants themselves?

Rishi Aurora: AI is freeing up consultants from repetitive, manual work, allowing them to focus on high-impact, strategic activities. This marks the evolution of what we call the “Science of Consulting.”

By combining the digital workforce with human expertise and integrating processes with ecosystem partnerships, we are delivering outcomes that go beyond efficiency, improving customer experience, reducing turnaround time, and ultimately driving ROI.

This shift is about enhancing the role of consultants in enabling transformation at scale.

Q: Where do you see consulting headed next in the AI era?

Rishi Aurora: AI is no longer a value-add—it’s a non-negotiable foundation of every proposal, every project, and every outcome. Organizations that invest now in AI governance, workforce readiness, and scalable infrastructure will lead the next phase of enterprise growth.

We are entering a future where consulting is redefined by hybrid intelligence—a collaborative engine powered equally by human insight and machine intelligence. That’s the future we’re building at IBM Consulting.

AI-Powered Consulting Is No Longer Optional—It’s Inevitable

As industries accelerate toward digitization, AI is fast becoming the defining lens through which consulting services are delivered and measured. For IBM Consulting, the journey is not just about faster solutions—it’s about building trust, transparency, and long-term value in every engagement. With a strategic focus on Responsible AI and a growing library of real-world success stories, IBM is setting the standard for a new era of consulting, where insight is data-driven, delivery is intelligent, and transformation is continuous.

Note to the reader: This article is part of Mint’s paid consumer connect initiative and is independently created by the brand. Mint assumes no editorial responsibility for the content, including its accuracy, completeness, or any errors or omissions. Readers are advised to verify all information independently.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleStanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation
Next Article OpenAI’s Big Bet That Jony Ive Can Make AI Hardware Work
Advanced AI Bot
  • Website

Related Posts

Why This Five-Star Analyst Is Bullish on IBM Stock

May 23, 2025

Tech Layoffs Mount As Microsoft, IBM, Google, Amazon Trim Staff

May 23, 2025

‘Our total employment has gone up’: What IBM CEO Arvind Krishna says on AI replacing several hundred jobs

May 22, 2025
Leave A Reply Cancel Reply

Latest Posts

Documentary Photographer Dies at 81

Art Historian Protests Restoration of Monument Graffitied in 2020

Russian University Chancellor Dies Inside Soviet-Era Statue

Frida Kahlo Museum to Open in Mexico City This September

Latest Posts

Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation

May 24, 2025

MIT CSAIL researchers develop tool for creating domain-specific languages

May 24, 2025

How IBM Is Redefining Enterprise Transformation with Responsible AI

May 24, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

YouTube LinkedIn
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.