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1155061022161547266

Investors Are Usually Wrong. I’m One of Them. https://t.co/dStqBzJ9lL
[snapshot url=”https://www.nytimes.com/2019/07/26/your-money/stock-bond-investing.html?smid=nytcore-ios-share”]
Original tweet: https://twitter.com/giano/status/1155061022161547266

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This is an essay about Frictionless IT, even if the concept is never mentioned > Fast Software, the Best Software — by Craig Mod https://t.co/o5MOvYgaP8
[snapshot url=”https://craigmod.com/essays/fast_software/”]
Original tweet: https://twitter.com/giano/status/1154851668439240704

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You’re already being watched by facial recognition tech. This map shows where https://t.co/zsTJqnIZSk
[snapshot url=”http://feedproxy.google.com/~r/fastcodesign/feed/~3/sa3IefSgLc8/youre-already-being-watched-by-facial-recognition-tech-this-map-shows-where”]
Original tweet: https://twitter.com/giano/status/1154056783998197767

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We insist in building complex products for customers because we insist in overestimating the human capability to handle complexity. I significantly reduced my confidence about it in the latter part of my career thanks to work experience and personal studies in science disciplines
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Original tweet: https://twitter.com/giano/status/1154025001907052544

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A few interesting @Gartner_Inc readings for me today:
– Hype Cycle for Threat-Facing Technologies, 2019
– Hype Cycle for I&O Automation, 2019
– Magic Quadrant for Cloud Infrastructure as a Service, Worldwide, 2019
– Solution Path for Infrastructure Automation
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Original tweet: https://twitter.com/giano/status/1154022749729447936

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Success ultimately depends on how many people agree with you, not on how close you are to the truth. Which is very inconvenient for people that seek the truth.
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Original tweet: https://twitter.com/giano/status/1153976937158778882

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“To succeed, your big data/cloud computing/digital transformation/artificial intelligence/no-more-silos/we-are-as-cool-as-startups project needs top leadership support.” https://t.co/BBN33GqiBR
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Original tweet: https://twitter.com/giano/status/1153621567504637952

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“Four years ago the data science team handed the algorithm to an engineer, and it got recoded in Java and implemented. Two weeks ago, they realized that that it’s been broken for three and a half years.” https://t.co/mVSxyima1o
[snapshot url=”https://venturebeat.com/2019/07/19/why-do-87-of-data-science-projects-never-make-it-into-production/”]
Original tweet: https://twitter.com/giano/status/1152187040974479362

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@vivaldibrowser The browser is performing in this weird way with just 10 tabs open. And I use no web panels. It can’t be this either.

It’s so disappointing because I really like it. I even love the way you guys have implemented the History feature.

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Original tweet: https://twitter.com/giano/status/1152148368950484992

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RT @hplus: Neuralink Launch Event:
https://t.co/UXedIJHpHX
[snapshot url=”https://www.youtube.com/watch?v=r-vbh3t7WVI”]
Original tweet: https://twitter.com/giano/status/1152146806203146241
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Alessandro Perilli
Alessandro
Perilli
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Alessandro is a Vice President, Research at IDC. His current focus is on Enterprise AI Strategies.
Things Alessandro has done in the past:

  • Chief of Research, pioneering R&D solutions for synthetic media generation with Unstable Reality
  • Tech executive, focused on business and product strategy for Red Hat
  • Global analyst, leading research in private cloud computing for Gartner
  • Entrepreneur in the media industry as the founder of virtualization.info
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Alessandro Invented
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  • NoOps: Misguided Hopes, New Ideas, And Three Paths Towards An Attainable Future
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The MIT mentions Alessandro as a subject matter expert in artificial intelligence in a new research paper:
Why They’re Worried
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Milano Finanza interviews Alessandro about the Future of Life Institute (FLI) open letter he signed:
ChatGPT, l’intelligenza artificiale è davvero una minaccia o rimane un affare miliardario?
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Financial Times quotes Alessandro about the impact of automation on human labor:
How cloud automation is changing IT: repair, replicate and correct
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Time Out quotes Alessandro about censoring creative work produced with generative AI:
"I thought people would understand what I was trying to do": The story behind the film too controversial for London's cinemas
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