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Articles related to "decision"


Tell-All Book by Trump’s Niece Can Be Released, Judge Rules

  • Simon & Schuster can move forward with plans to release a tell-all book by President Trump’s niece after a New York appellate judge overturned a temporary restraining order against the publisher.
  • The six-page order Wednesday, written by Justice Alan D.
  • Scheinkman, reversed a lower-court decision handed down a day earlier to delay publication.
  • While an injunction against author Mary Trump remains in place, the ruling means Simon & Schuster can continue with its plan to distribute “Too Much and Never Enough: How My Family...

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What’s Next After Machine Learning?

  • Machine learning leverages mathematical models and big data to solve business problems.
  • Within data engineering, the evolution of cloud computing has allowed big data to be stored inexpensively.
  • However, machine learning is NOT the summit of a data analytics evolution journey.
  • To address physical fatigue, organisations are investing in automation.
  • This is primarily due to complex factors associated with organisational decisions, despite the abundance of data and information.
  • To address decision fatigue, organisations are investing in machine learning.
  • The typical root cause is often associated with exponential demand increase due to organisational data maturity growth.
  • To address insights fatigue, organisations need to invest in data democratisation.
  • Most importantly, with the machine learning hype, it is important to acknowledge that data democratisation may be the next important step.
  • About the author: Albert Suryadi is a proven leader in enabling advanced analytics and data science capability in blue chip organisations.

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What’s Next After Machine Learning?

  • Machine learning leverages mathematical models and big data to solve business problems.
  • Within data engineering, the evolution of cloud computing has allowed big data to be stored inexpensively.
  • However, machine learning is NOT the summit of a data analytics evolution journey.
  • To address physical fatigue, organisations are investing in automation.
  • This is primarily due to complex factors associated with organisational decisions, despite the abundance of data and information.
  • To address decision fatigue, organisations are investing in machine learning.
  • The typical root cause is often associated with exponential demand increase due to organisational data maturity growth.
  • To address insights fatigue, organisations need to invest in data democratisation.
  • Most importantly, with the machine learning hype, it is important to acknowledge that data democratisation may be the next important step.
  • About the author: Albert Suryadi is a proven leader in enabling advanced analytics and data science capability in blue chip organisations.

save | comments | report | share on


What’s Next After Machine Learning?

  • Machine learning leverages mathematical models and big data to solve business problems.
  • Within data engineering, the evolution of cloud computing has allowed big data to be stored inexpensively.
  • However, machine learning is NOT the summit of a data analytics evolution journey.
  • To address physical fatigue, organisations are investing in automation.
  • This is primarily due to complex factors associated with organisational decisions, despite the abundance of data and information.
  • To address decision fatigue, organisations are investing in machine learning.
  • The typical root cause is often associated with exponential demand increase due to organisational data maturity growth.
  • To address insights fatigue, organisations need to invest in data democratisation.
  • Most importantly, with the machine learning hype, it is important to acknowledge that data democratisation may be the next important step.
  • About the author: Albert Suryadi is a proven leader in enabling advanced analytics and data science capability in blue chip organisations.

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Princeton, Woodrow Wilson and my father

  • Since my father was one of the few Princeton alumni who achieved his level of academic stature, they set out to lure him back with a seemingly attractive offer to chair a new "Afro-American Studies Program" and a tenured position at the Woodrow Wilson School.
  • He was the only tenured faculty member in the program, and he had to patch together a course offering featuring administrative staffers with an interest in Black history, visiting junior professors from other colleges, and occasional guest lecturers, including a book editor and aspiring novelist named Toni Morrison.
  • As Princeton's Provost in the '80's, Neil Rudenstine helped the university lure Cornel West; then as president of Harvard in the '90's, Rudenstine hired and empowered Black scholar Henry Louis Gates Jr. to build the best Department of African-American Studies in the world.

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Opinion: After Supreme Court defeat, abortion foes are at a crossroads

  • On Monday, Justice John Roberts joined his liberal colleagues in a 5-4 decision voting to strike down a Louisiana law that required abortion doctors to have admitting privileges at a clinic within 30 miles.
  • No one ever stopped talking about a right to life, but major players in the antiabortion movement often pivoted to a different strategy: arguing that women had never benefited from abortion rights in the first place.
  • Louisiana argued that admitting privileges protected patients against dangerous doctors -- and insisted that doctors should not have been able to sue over this law in the first place because abortion hurts women.
  • And for this reason, the Court's decision is likely to supercharge a trend already all too visible in abortion politics: a refocus on fetal rights.
  • Pro-lifers have lost twice in the Supreme Court when pushing a law that claims to protect women.

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John Roberts shatters expectations for the Supreme Court

  • In a series of striking rulings over the last two weeks on immigration, LGBTQ rights and now abortion, Roberts has sided with the court's four liberal justices and established himself as one of the most influential figures in America today.
  • Now overseeing the final weeks of the high court's annual session, Roberts' pattern demonstrates that the strategic jurist has seriously recalibrated in the era of Trump, a president who gave the court two new justices and appeared to cement a 5-4 conservative-liberal lock for years to come.
  • In the LGBTQ case, for example, Trump appointee Justice Neil Gorsuch cast the decisive fifth vote in the dispute over interpretation of Title VII of the 1964 Civil Rights Act. The immigration decision was similarly grounded in a statutory, not constitutional, reasoning and can be reversed or altered in time by the Trump administration -- or a Joe Biden administration.

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Why Building an AI Decentralized Autonomous Organization (AI DAO)

  • Beyond the already complex challenge of implementing AI, some companies have started analyzing the possible benefits of building an AI Decentralized Autonomous Organizations (AI DAOs).
  • In this article, I will help you understand what we mean by Decentralized Autonomous Organizations (DAOs), their strategic importance from a business model perspective as well as the key role of AI in the rise of DAOs. Let’s start by defining the key concept of this article.
  • It could begin with the automation of a small percentage of both managerial and administrative roles, but these percentages would increase over time as the company becomes more data-driven and smart contracts handle more and more complex tasks.
  • I believe large firms should already try to build proofs of concept to better understand how this new organization can impact their business models.

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Why Building an AI Decentralized Autonomous Organization (AI DAO)

  • Beyond the already complex challenge of implementing AI, some companies have started analyzing the possible benefits of building an AI Decentralized Autonomous Organizations (AI DAOs).
  • In this article, I will help you understand what we mean by Decentralized Autonomous Organizations (DAOs), their strategic importance from a business model perspective as well as the key role of AI in the rise of DAOs. Let’s start by defining the key concept of this article.
  • It could begin with the automation of a small percentage of both managerial and administrative roles, but these percentages would increase over time as the company becomes more data-driven and smart contracts handle more and more complex tasks.
  • I believe large firms should already try to build proofs of concept to better understand how this new organization can impact their business models.

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Why Building an AI Decentralized Autonomous Organization (AI DAO)

  • Beyond the already complex challenge of implementing AI, some companies have started analyzing the possible benefits of building an AI Decentralized Autonomous Organizations (AI DAOs).
  • In this article, I will help you understand what we mean by Decentralized Autonomous Organizations (DAOs), their strategic importance from a business model perspective as well as the key role of AI in the rise of DAOs. Let’s start by defining the key concept of this article.
  • It could begin with the automation of a small percentage of both managerial and administrative roles, but these percentages would increase over time as the company becomes more data-driven and smart contracts handle more and more complex tasks.
  • I believe large firms should already try to build proofs of concept to better understand how this new organization can impact their business models.

save | comments | report | share on