Category: DataOps and Integration
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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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10 Important Data Management Questions for CIOs in the GenAI Era
Navigating the complex landscape of data management platforms is increasingly challenging, with numerous solutions for pipeline monitoring, data governance, and AI integration. Experts emphasize the need for automation, robust governance, and trust in data to ensure efficiency and mitigate risks. CIOs must prioritize these areas to optimize data utilization and AI applications.
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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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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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This Most Boring Gen AI Use Case Saves Millions in Regulated Industries
By 2025, generative AI will drive significant business value, focusing on practical, less glamorous use cases like document processing, intelligent automation, and AI agents. These advancements promise to increase accuracy and reduce costs, particularly in regulated industries like financial services, insurance, and life sciences. Private AI implementation within secure environments will be essential for maximizing…
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6 Important AI and Data Governance Non-Negotiables
The importance of clear governance for CIOs, CTOs, and CDOs in fostering innovation while addressing the complexity of governance policies. One-pagers, termed “non-negotiables,” serve as essential communication tools to simplify governance concepts, align expectations, and ensure adherence to data and AI governance standards for organizational success.
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5 Digital Trailblazer Competencies: An Entrepreneur Architect’s Perspective on Leadership
Tyler Johnson, CTO of PrivOps shares his top competencies of digital transformation leaders, including having an agile mindset.
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Agile Co-Creation: Changing the Mindset from Outsourcing to Winning Partnerships
Innovating with partners requires transforming people’s mindset away from outsourcing and onto agile collaborations.
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It’s Finally Time to Integrate and Modernize These Five Enterprise Workflows
Modernize these enterprise workflows : employee onboarding, procurement, and lead management
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Connecting Everything: 7 Integration Types in Digital Transformation
Integrated customer and employee experiences, data flows, and other workflow integrations are key digital transformation capabilities.
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How to Persuade CEO to Sponsor Proactive Data Governance
Data governance creates an organizational vocabulary, reduces risks, avoids cost, and is the back office to citizen data science
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Becoming Data-Driven and Improving Data Health with Talend’s CTO Krishna Tammana
Data health is an ongoing challenge, but can be simplified with ETLT, machine learning, dataops, and data literacy