Category: AI
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SAP Bets Big on AI Agents—Should CIOs Follow?
At Sapphire 2025, SAP introduced 40 AI agents and a Business Data Cloud to address integration challenges for CIOs. Emphasizing productivity, SAP aims for strategic AI investments for decision-making in rapid data environments, asserting the end of traditional best-of-breed application and integration approaches.
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Cut Costs or Improve Customer Support? GenAI Says You Can Do Both
Generative AI (GenAI) enhances customer support by improving self-service capabilities, reducing costs, and personalizing experiences. Companies using agentic AI show higher self-service rates, cut resolution costs, and achieve increased customer satisfaction. This technology holds the potential to transform customer interactions through improved insights and empathetic responses, benefiting both customers and enterprises.
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Are Engineers Prepared for the Emerging Agentic AI Software Development World?
Agentic AI software development is revolutionizing low-code and no-code platform capabilities. Reports indicate a significant rise in AI-assisted coding among developers. As AI agents become more autonomous, traditional coding may decline, posing questions about the future roles of software engineers and enhancing business capabilities.
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How Appian is Inspiring with AI Agents and Transforming Low-Code App Development
The future of low-code app development is evolving with AI code generators, enabling easier, sophisticated, and scalable app creation. Appian emphasizes collaboration with AI agents to develop proprietary processes. Their AI-driven Appian Composer facilitates iterative app design, focusing on outcomes through value-based storytelling, enhancing customer experience and digital transformation.
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10 Missed GenAI Opportunities in Digital Transformation a CIO Must Be Paranoid On
CIOs must move beyond mere productivity and embrace genAI opportunities in digital transformation. While tactical improvements are significant, focusing solely on them can hinder real change. CIOs should prioritize data architecture, AI governance, and improving customer experiences, while maintaining rigorous evaluation of risks and compliance to maximize the benefits of genAI.
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3 Key Insights on Driving Intelligent Operations in the GenAI Era
Intelligent operations is crucial for executives in construction and manufacturing today. They enhance safety, competitiveness, and growth, especially with the advent of genAI. Emphasizing the human element in operations, leveraging technology, and building trust in AI systems can improve overall performance and attract younger talent, while addressing workforce challenges.
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Who is the Pioneering AI Leader Every Innovative CIO Should Watch for CX?
Who is the crucial AI leader unnoticed by many CIOs, particularly regarding customer experience (CX)? Sacolick reviews advanced tools for enhancing CX, warns about GenAI’s productivity trap, and encourages businesses to focus on creativity. Successful transformation requires strong leadership and collaboration between CIOs and CMOs. Adobe is an AI leader in CX,
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7 Ways Gen AI Drives Outcomes: Help Employees With Work They Couldn’t Easily Do Before
Gen AI drivve outcomes by enhancing employee capabilities rather than solely being viewed as a productivity tool. Its true benefit lies in enabling complex tasks, improving customer insights, enhancing call center performance, simplifying compliance, and facilitating data analysis. Ultimately, Gen AI empowers employees, driving significant business outcomes alongside productivity gains.
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25 Emerging GenAI Roles to Boost HR, Tech, and Security Careers
Organizations seek new roles like AI Change Agents, GenAI Business Analysts, and AI HR Coaches, emphasizing the need for skills development and lifelong learning in the evolving job market. StarCIO’s 25 GenAI emerging roles include AI Career Developers, AI Security Architects, and AI Agent Developers.
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7 Ways Ambitious CIOs Drive Digital Transformation from GenAI
Why CIOs must taget comprehensive digital transformation beyond mere cost-cutting, especially in the context of GenAI. CIOs must focus on growth, trust, collaborative technology, agentic AI, and customer experience improvements. Seven key recommendations provide guidance for successful digital and AI initiatives.
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CIOs Beware: How to Prove GenAI ROI Without Bumbling Into the Productivity Trap
Isaac Sacolick cautions against forecasting ROI for digita transformationl initiatives, particularly AI, emphasizing the importance of defining clear objectives and key results (OKRs) instead. While recent research indicates that generative AI investments can yield significant returns, organizations often struggle to quantify productivity improvements. Successful measurement and communication of business benefits are crucial for CIO, StarCIO…
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AI in Action: 8 Promising Use Cases to Drive Digital Transformation
The potential of Generative AI as a driver of digital transformation, emphasizing the need for meaningful use cases that can significantly impact business models. Highlights various applications across customer service, marketing, fintech, supply chain, and more, advocating for focused initiatives that can enhance customer experiences, scalable efficiencies, and robust security.