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emre ışık

Data & AI Solutions Lead

DIP BİLGİSAYAR YAZILIM TİCARET ANONİM ŞİRKETİ

İstanbul, Türkiye

My organisation

At DIP Bilgisayar Yazılım Ticaret Anonim Şirketi, we specialize in providing cutting-edge software solutions tailored to meet the diverse needs of businesses. Our team is dedicated to innovation and excellence, delivering high-quality services that empower our clients to achieve their goals. We believe in fostering strong partnerships and leveraging technology to drive success in an increasingly digital world. Join us as we explore new opportunities and collaborate to create impactful software solutions.
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About me

Interests

  • data governance
  • Metadata Management
  • Data Lineage
  • Data Masking
  • ETL Automation
  • Low-Code Development
  • Data Analytics
  • Semantic Layer
  • circular economy
  • Compliance Reporting
  • AI in Data Management
  • Smart Data Access

Marketplace (1)

  • Project cooperation

    Looking for R&D Partners in AI-Driven Data Governance and Circular Ecosystems

    We seek partners for collaborative R&D projects focused on data governance, AI, and digital solutions for circular value creation.

    • Already defined
    • Expertise offered
    • Consortium seeks Partners
    • Data technologies | (AI based) process and system control technologies
    • Data technologies | Approaches to support SME fully exploit the value of existing CVC-related data
    • Data technologies | Interoperability of CVC-relevant data ecosystems, quality assurance and traceability across systems
    • Data technologies | Algorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
    • Enabling technologies | Industry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains
    • Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
    • Enabling technologies | Tools and solutions addressing challenges emerging from product focused regulations (such as the ESPR)
    • Data technologies | Simulation models and predictive analytics to assess the scalability of circular processes across industries
    • Enabling technologies | Reverse Manufacturing (e.g. adaptive automation for high variance, sorting, sophisticated logistic systems)
    • Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
    • Data technologies | Data ecosystems for the realisation of circular value creation exploiting the full potential of digitalisation – e.g., harnessing existing, purpose-built platform solutions.
    Author

    emre ışık

    Data & AI Solutions Lead at DIP BİLGİSAYAR YAZILIM TİCARET ANONİM ŞİRKETİ

    İstanbul, Türkiye