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Quality Time

  • Three traits of a mature Agile team

    What it takes to have successful mobile project development might surprise you. Expert Jennifer Lent shares the secrets around creating a mature Agile team.  Continue Reading

    Jennifer Lent
    By
    • Jennifer Lent
  • Four principles for staying true to real Agile

    Over time, software teams develop their own variants of Agile. Here's how to make sure your practice remains aligned with the spirit of Agile.  Continue Reading

    Jennifer Lent
    By
    • Jennifer Lent
Latest TechTarget resources
  • AI & Emerging Tech
  • Cybersecurity
  • Data Technologies
  • Enterprise Software
  • IT Strategy
AI & Emerging Tech
  • Zoom launches AI-powered revenue OS to compete in CRM market

    Zoom is aiming to diversify its product offerings amid declining enterprise adoption. However, the video communications vendor ...

  • Prompt engineering and other tips to prevent AI sycophancy

    AI sycophancy can reinforce biases and lead to poor business outcomes. But what are the signs that AI has become sycophantic, and...

  • Physical AI's challenge: Making humanoid robots work in the real world

    The next stage of physical AI will depend on improving human-robot interactions.

Cybersecurity
  • CISOs more confident -- and more stressed -- than ever

    Security leaders are growing more confident in their abilities to withstand cyberattacks, yet the pressure on them continues to ...

  • CISA Cyber Storm exercise offers blueprint for enterprise CISOs

    The launch of CISA's Cyber Storm X puts national incident response to the test. For enterprise CISOs, the exercise serves as a ...

  • The growing case for deputy CISOs in the enterprise

    Cybersecurity teams need a leader -- or do they need two? As the pressures on security professionals grow, the deputy CISO role ...

Data Technologies
  • Neo4j intros graph-based suite for fighting financial crime

    The vendor is adding tooling from its GraphWise acquisition to go beyond fraud detection and differentiate itself from those ...

  • Why AI should build on, not copy, your data stack

    The model might be the face of AI, but the data architecture performs the heavy lifting. Its strength determines the consistency ...

  • Lakebase: Another vendor buzzword or a useful new technology?

    Two vendors now offer lakebase platforms that blend data lakes and databases. Like the data lakehouse, it's a buzzy-sounding ...

Enterprise Software
  • 5 of the top transportation management systems

    Learn more about some of the top transportation management systems on the market, including the products’ features as well as the...

  • The hidden cost of AI automation: Preserving organizational expertise

    Organizations are embedding AI in enterprise systems and adopting human-in-the-loop strategies to automate routine tasks while ...

  • 4 fleet management challenges that CSCOs should be aware of

    Global energy market volatility remains a concern for fleet managers. Learn about some other challenges that CSCOs and COOs ...

IT Strategy
  • AI control is becoming an architecture problem for CIOs

    CIOs face multiple AI control layers across orchestration, models, data, identity and governance. The challenge is understanding ...

  • Failed sustainability projects and the lessons learned

    Failed sustainability projects often arise from poor data, siloed teams and unclear ownership, leading to costly mistakes and ...

  • Why enterprise AI fails at the org chart, not the model layer

    AI models are easy to access. Organizational authority is not. David Linthicum explains why the org chart -- not the model layer ...

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