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Talent, Technology, Management

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Power point partially presented at Nutshell Forum in Karachi on 23rd Jan 2010.

Power point partially presented at Nutshell Forum in Karachi on 23rd Jan 2010.

Published in: Education, Business, Technology

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  • Naveed Ejaz. CP Child. Interested in Computational Finance. BS in Economics from LUMS. Wanted to code complicated financial models. Needed an hour in the morning to get functional. Mphil from Cambridge. Right now a PhD candidate at Imperial College.
  • Adnan Haider wanted to dream bigger dreams. Came to us so that he could understand what made a tech company a tech company before going on to do his MS in technology management as a Full Bright scholar.
  • Branded blue = evil on our psychometrics tests. He is just very good with numbers, details, logic and analysis. Wanted to apply his mind to bigger problems.
  • Picked up a new domain, wrote code like a deamon while flying back and forth between Karachi so that he could participate in the long March.
  • Working mother, wanted her hours, her time, her terms. She became the second part timer in our firm and
  • No in-securities. No input. They did what they wanted to do. And they need anyone consent, guidance or advise.
  • Transcript

    • 1. Alchemy Technologies Technology, Talent, Management Jawwad Farid, CEO www.alchemya.com
    • 2. Context
      • Technology Businesses
      • Talent
      • Working mothers
      • Lessons learnt
    • 3. 8% 30%
    • 4. 3 From this Data Information Tools Product Analysis Action Value
    • 5. Signal Noise
    • 6. Context
      • Talent ( Gifted
      • Individuals
      • Numbers
      • Logic)
    • 7.
      • Some are more equal than others
    • 8.
      • Why Great Talent?
    • 9.  
    • 10.  
    • 11.
      • Don’t be Good…
    • 12. Be better.
      • Air speed
        • 2150 vs 220 km/hr
      • Rate of climb
        • 224 m/s vs 3.4 m/s
      • Takeoff weight
      • 30,000 lbs vs 2,000 lbs
    • 13.
      • What do they look like?
    • 14. Five profiles
      • Naveed Ejaz
      • Adnan Haider
      • Nabil Quraishi
      • Jareer
      • Fawzia Salahuddin
    • 15.  
    • 16.  
    • 17.  
    • 18.  
    • 19.  
    • 20. F-104 Star Fighters
      • Self Sufficient & Self Aware
      • Work Ethic – No supervision
      • High Bandwidth – Large Problems
      • Life long learning
      • Pride of Ownership
      • Team Players
      • Problem Solvers
      • Apprentice to Gurus & Jedi’s – Specialists & Generalists
    • 21.
      • What do they want?
    • 22. F-104 Star Fighters
      • A big problem with their name on it
      • Guilty by association – Great Minds
      • An unfair deal
    • 23.
      • What do they want – part II?
    • 24. Faster, Better
    • 25. Faster, Better
    • 26.  
    • 27.
      • Our secret weapon?
    • 28. Fawzia Technology, Project Management Erum Tech Architect Uzma Client & Delivery Services Rehana Domain, R&D Who built Alchemy?
    • 29.
      • Close
    • 30. More equal than other rules
      • Every one’s a star
        • Its all about the team
      • Two edges of the blade
        • Not good enough to be a generalist or a specialist
      • Reflecting surfaces versus black boxes
        • Information sharing versus hogging
      • Mindset & ambiguity
        • Do or do not. There is no try
      • From apprentice to Jedi
        • Levels of Supervision. Discipline.
    • 31. More equal than other rules
      • Acknowledge Conflict
        • Conflict, Ignorance, problems, issues
      • Bandwidth
        • Capacity, Bigger problems
      • Firmware upgrade
        • Life long learning
      • The knowledge business scale
        • Linear or non-linear
    • 32. www.alchemya.com http://blog.alchemya.com
    • 33.