What Generative AI Hopefuls Can Learn from Cloud Computing Trial and Error

Facebook
Twitter
LinkedIn

AI-First CIOs: Balancing Innovation and Governance for Business ImpactETCIO

Transformative Impact of Generative AI for Business

NEW YORK, July 16, 2025 /PRNewswire/ — At AWS Summit New York City, Automation Anywhere, the leader in Agentic Process Automation (APA), announced today that it has achieved the AWS Generative AI Competency. This recognition reflects Automation Anywhere’s proven technical expertise and customer success in designing, deploying, and operationalizing generative AI solutions on AWS. Centralize data pipelines, training frameworks, evaluation systems and responsible AI practices, enabling teams to focus on innovation rather than infrastructure maintenance. Anchor AI efforts in genuine business challenges and customer needs rather than following transient trends.

Business Insider tells the innovative stories you want to know

Transformative Impact of Generative AI for Business

Read said this reflected a lower level of marketer confidence, given the prolonged macroeconomic uncertainty. He added that the latest business opportunities tended to be smaller than usual. While some of WPP’s woes are specific to the company, analysts and other industry insiders told Business Insider the ad group faces challenges that apply to the broader ad agency market. Evaluate and adopt open-source and commercial platforms that accelerate time-to-market and mitigate vendor lock-in risks. For these cases, “where they’ve all shown evidence of infringing output, Kadrey v. Meta has absolutely no bearing,” said Madigan. With cases that focus on output, “you don’t have to get into sort of these more abstract doctrinal discussions about transformative use and whether training is transformative in purpose. You just have to show side-by-side verbatim copies,” he continued.

  • Begin with small, proof-of-concept pilots to validate critical assumptions before scaling.
  • It recently announced an investment in Stability AI, the developer of the AI image generator Stable Diffusion.
  • Last month, Barclays analysts downgraded the stocks of WPP, IPG, and Omnicom, citing the immediate risks to the agency business posed by artificial intelligence.
  • Many leaders focus on short-term product gains rather than multi-year investments.
  • When teams are measured solely by feature delivery speed, they rarely invest the time and resources required for transformative initiatives.

Putting Cloud Lessons into GenAI Practice

Shares of rival ad groups, including Omnicom, Publicis, IPG, and Havas, were also down. Begin with small, proof-of-concept pilots to validate critical assumptions before scaling. This might include incorporating milestones like reusable training pipelines or early-stage architectural validations for foundational AI. Sandeep Jha is an award-winning AI expert and Principal Staff / Director TPM at LinkedIn, where he drives the company’s GenAI strategy.

Closing this maturity gap requires continual course correction, often coming down to deployment roadblocks, such as significant expenses, distrust of unproven technologies, and regulatory risks. If these challenges sound familiar, they should – when IT teams first jumped to embrace the cloud as the next big thing, many of the same barriers surfaced. The AWS Competency Program aims to assist customers in connecting with AWS Partners who possess extensive knowledge and technical expertise in using AWS technologies and best practices to adopt Generative AI. These partners facilitate the seamless integration and deployment of AWS-based solutions to meet the unique needs of both startups and global enterprises. Foundational AI investments demand more than technological breakthroughs—they require disciplined, long-term execution.

James Gunn & The Superman Cast Answer The 50 Most Googled Superman Questions

Artificial Intelligence has moved beyond hype to become a strategic imperative. From factory floors to customer support, supply chains to boardrooms, AI is reimagining how enterprises operate and compete.But for CIOs, embracing AI is not just about adopting the latest tools. It’s about leading a complex, high-stakes transformation — one that demands sharp judgment, strategic patience, and relentless focus on business outcomes.Through conversations with India’s leading CIOs, ETCIO identified three critical balancing acts that define the AI journey today. These are not just challenges to overcome — they are choices that will determine which enterprises thrive in the AI era and which falter. Just as cloud technology exposed gaps in governance, skills, and long-term strategy, so has GenAI. Should employees adopt GenAI tools without oversight or use the technology outside the bounds of acceptable use policy, the risks of shadow IT may reappear, along with the difficulties of securing GenAI pipelines and ensuring compliance at scale.

  • AI interfaces “just work,” and that’s a problem for advertising companies, O’Kelley added.
  • Should employees adopt GenAI tools without oversight or use the technology outside the bounds of acceptable use policy, the risks of shadow IT may reappear, along with the difficulties of securing GenAI pipelines and ensuring compliance at scale.
  • In 2024, researchers from the Imperial College London Business School and the Berlin School of Economics published a paper analyzing how generative AI is affecting the labor market.
  • For its part, the UK-headquartered WPP said it planned to invest £300 million, about $407 million, annually in AI and other technologies.
  • “It’s clear that more needs to be done to turn WPP’s future around, and while the hunt for a new CEO continues, it’s unlikely that WPP will regain its crown as the world’s biggest advertising agency,” said Aarin Chiekrie, an equity analyst at Hargreaves Lansdown, in a note to clients Wednesday.
  • Shares of rival ad groups, including Omnicom, Publicis, IPG, and Havas, were also down.

Striking the Right Balance with GenAI Innovation

Transformative Impact of Generative AI for Business

Niladri Ray is the Country Head, India and VP-Engineering for Flexera, with his roster of responsibilities spanning across Global AI/ ML, Data Intelligence, FinOps, SAAS, Sustainability and Security Vulnerability Management in Hybrid IT contexts. With 27+ years of experience, he has specialised experience in both FinTech and DeepTech areas, scaling these around multiple business domains & technology contexts. He is also a NASSCOM DeepTech Mentor and an Angel Investor/ Board Member for several Global Tech Startups.

My Services

These parallels will continue to surface as GenAI moves from experimentation to widespread enterprise integration, requiring the same robust cybersecurity frameworks, incident response plans, and governance structures found within the cloud. AI is evolving at an unprecedented pace, yet most organizations struggle to turn research breakthroughs into scalable, production-ready systems. While AI-driven features can deliver quick wins, foundational AI investments such as generative AI, core AI infrastructure and enterprise-scale machine learning (ML) models demand years of sustained effort, disciplined execution and cross-functional collaboration. GenAI is set to remain a powerful force, with 70% of CEOs reporting that they expect the technology to impact their business models over the next three years. Clearly GenAI’s transformative potential is proving valuable to executive decision makers, but sustainable, large-scale impact still depends on addressing trust, governance, and integration barriers. “Achieving the AWS Generative AI Competency underscores the strength of our AI-powered agentic automation system and validates the real-world impact we’re delivering to enterprise customers,” said Adi Kuruganti, Chief Product Officer of Automation Anywhere.

Jackson Wang Answers More of The Web’s Most Searched Questions

“This recognition affirms our ability to combine generative AI, automation, and orchestration at scale—helping organizations unlock productivity, reduce friction in work, and make faster, smarter decisions with the trust and agility of AWS.” A major challenge with foundational AI initiatives is not the technology itself but the organizational mindset. Many leaders focus on short-term product gains rather than multi-year investments. When teams are measured solely by feature delivery speed, they rarely invest the time and resources required for transformative initiatives. Kadrey v. Meta and Bartz v. Anthropic are often lumped together because they both focus on the inputs of pirated books as data to train AI models.

Mehr entdecken

Leave a Comment

Your email address will not be published. Required fields are marked *

Scroll to Top