Category: Low-code and automation
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IT Service Operations Is Ready For Its AI Moment
Legacy ITSM platforms hinder employees in mid-market businesses, causing delays in issue resolution. Embracing AI can significantly enhance IT service operations by simplifying processes, providing insights, and improving employee experiences. AI-driven ITSM platforms facilitate faster responses and enable employee self-service capabilities, making them crucial for modern organizations.
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How to Accelerate AI’s Path to Business Value in Industrial SMBs
AI tools can boost individual productivity but require leaders to re-engineer workflows for ongoing business value. By fostering AI literacy among all employees and utilizing platforms, partners, and learning programs, organizations can empower staff to adapt and innovate. Successful AI adoption hinges on collaboration and employee engagement in dynamic workflows.
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Low-Code Development in the AI Era: What CIOs Need to Know
Isaac Sacolick’s experiences with low-code and no-code development as a CTO and CIO, emphasizing their role in empowering citizen developers in the AI era. Highlighting Quickbase’s new AI capabilities and tools like Pave, Isaac advocates for integrating these solutions to streamline operations, enhance efficiency, and connect field and back-office functions effectively.
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The Autonomous Enterprise in the AI Era: What CIOs Need to Know
Can AI agents form the basis of the autonomous enterprise? SAP’s vision for the autonomous enterprise features role-based “assistants” to augment employee capabilities. New announcements include Joule Studio 2.0, AI governance capabilities, and AI industry solutions. SAP shared AI Agent Hub, open spec-driven development, and continuous monitoring for effective AI adoptions and development.
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Critical Process Management in the AI Era: What CIOs Need to Know
Matthew Calkins, CEO of Appian, advocates for a pragmatic approach to integrating AI in mission-critical processes, emphasizing risk management and defined workflows. He warns against fully autonomous AI in regulated industries. A spec-driven development framework that encourages collaboration and minimizes errors, enhances the overall effectiveness of AI applications.
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Why Your Chaotic AI Experiments Aren’t Producing Business Value
Organizations are grappling with AI strategy implementation, torn between extensive experimentation and focused deployment. A McKinsey report highlights that only a small percentage of companies scale AI effectively, with larger enterprises leading. The StarCIO Vision Statement Template offers a streamlined method for evaluating AI initiatives, supporting growth while minimizing risks and complexity.
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3 Breakthrough AI Innovations from SAP to Accelerate ROI
CIOs are under pressure to demonstrate AI investments ROI and business value. While AI job impacts and integration challenges exist, improving developer productivity and agile team velocity can yield better ROI. SAP’s Business Technology Platform offers tools and innovations to accelerate AI implementation and adoption across enterprises, driving digital transformation.
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Culture Change: 4 Ways to Overcome Tribal Knowledge and Inspire Developing Expertise
Organizations encounter knowledge-sharing issues, often resulting in tribal knowledge and outdated processes. Digital leaders advocate for cultural change, emphasizing expertise sharing to enhance innovation and efficiency. Solutions include dynamic management practices, centralized documentation, AI integration, and incentivizing knowledge sharing. Leaders must prioritize community over documentation for sustained growth.
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How Smarter Employees and Integrated AI Agents Will Team Up in the New Work Day
At Workday’s 20th anniversary event, CEO Carl Eschenbach emphasized the future of work as AI-driven and human-focused. Key executives discussed the importance of change management, AI literacy, and the integration of AI agents to drive operational benefits. Workday introduced innovative tools like Workday Build to support this transformative shift in businesses.
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From Vision to Value: A Practical Blueprint for Developing AI Agents
Organizations are increasingly developing strategic AI agents to enhance customer and employee experiences. A hybrid approach involving both build and buy methods is essential for success. Key steps include defining roles, unifying information access, connecting to APIs, and implementing continuous testing. Avoiding development pitfalls will drive effectiveness and improve satisfaction across various sectors.
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3 Hidden Workarounds Killing Productivity And How to Spot The Manual Work
Organizations often struggle with gray work—unstructured, manual tasks that hinder productivity. Employees face inefficiencies due to data movement between systems and lack of integrated tools. As software investments rise, many feel overwhelmed, emphasizing the need for dynamic work management solutions. Identifying gray work areas can lead to more efficient workflows and decision-making.
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What Smart CIOs Know About DevOps That Everyone Else Misses
The evolving landscape of DevOps practices, requires CIOs to prioritize and clarity implementation objectives. It highlights the complexities introduced by various methodologies and the importance of striking a balance between necessary practices and overinvestment. Simplifying requirements and focusing on minimal viable practices can yield significant benefits for organizations.