Category: Digital Workplace and Culture
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Technology Selections in the AI Era: 7 Criteria to Evaluate a Vendor’s Ecosystem
Organizations struggle with technology selection in the AI era, often facing integration issues or overanalyzing criteria. Misjudging value and risk can lead to AI debt. Evaluating technology must focus on value, risk, and ecosystem, considering factors like data portability, integration capabilities, community sentiment, and leadership accessibility to ensure long-term success.
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AI Is Only as Good as Your Talent: Five Ways People Amplify Its Value
As AI transforms the workforce, organizations must adapt talent strategies to leverage human skills that machines cannot replace, such as critical thinking and ethical judgment. Cooperation between talent and AI enhances innovation and drives business value. Companies must prioritize skilled talent nurturing to maximize AI effectiveness, ensuring ongoing collaboration and expertise.
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Should Citizen Developers Vibe Code — or Vibe No-Code?
Are vibe coding tools appropriate for citizen developer – or is what they really need a vibe no-code experience. The choice requires a review of governance models, company culture, and developer skills. Examples of effective implementations, like Quickbase, are showcased, advocating for a careful evaluation of vibe no-coding for empowering developers.
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3 Leadership Skills AI Rewrote — and 2 That Didn’t Exist Five Years Ago
The discussion at Coffee With Digital Trailblazers emphasized the need for mid-career leaders to reskill, focusing on leadership skills tailored for the AI era. Essential skills identified include change management, critical thinking, data governance, and AI agent orchestration, highlighting how AI reshapes leadership roles and enhances business value.
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Scoring AI ROI in Customer Experience: What CIOs Need to Know
CIOs are missing significant ROI opportunities in customer experience, particularly in contact centers, which require attention beyond just infrastructure. Engaging with call center agents and analyzing KPIs can uncover areas for improvement. AI innovations from Verint have demonstrated substantial financial benefits, enhancing efficiency and customer satisfaction. Emphasizing AI in contact centers presents a valuable opportunity…
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5 Essential Questions for CIOs on Planning IT Careers in the AI Era
The rise of AI in IT roles is causing concern among employees about job security and their future IT careers. While CIOs are improving employee skills and career development, a structured career planning approach is lacking. AI is transforming roles, necessitating a focus on new skills and leadership capabilities for future growth.
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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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College Graduates are Very Pissed Off About AI
At a University of Arizona commencement, students voiced their frustration with AI’s impact on job prospects, particularly during Eric Schmidt’s address. Many graduates, facing economic challenges and career uncertainties, were unprepared for AI disruptions. Instead of blaming external factors, they should embrace emerging opportunities and continue learning to shape their futures.
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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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Marketing in the AI Era: What CIOs Need to Know
AI is revolutionizing marketing for both B2B and B2C brands, presenting CIOs with unique opportunities to collaborate with CMOs. Key innovations include Adobe’s CX Enterprise, which integrates AI for scaling marketing, enhances collaborative design through AI agents, and introduces conversational interfaces in customer experience. CIOs must embrace this transformative potential.
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The Future of Work: Here Come the AI-Enabled Devices
AI-enabled devices are transforming work experiences by enhancing user interactions and simplifying IT functions. Emerging technologies like Cisco’s Room Kit Pro G2 and Logitech’s Rally AI Camera exemplify advances in usability and performance. As AI capabilities improve, the focus is on creating devices that foster seamless communication and collaboration in diverse environments.
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Citizen Analytics in the AI Era: What CIOs Need to Know
CIOs should step up citizen data analytics initiatives to drive their data-driven organizations for the AI era. Domo’s capabilities, showcased at Domopalooza, include integrating workflows with analytics, advanced data integration through “Magic ETL,” and developing AI agents. Domo offers a comprehensive solution for organizations seeking to leverage data and AI effectively.
