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Business & Government Intermediate read

IBM Tries To Sell Watson Health Again

Big Blue wants out of health care, after spending billions to stake its claim, just as rival Oracle is moving big into the sector via its $28 billion bet for Cerner. IBM spent more than $4 billion to build Watson Health via a series of acquisitions. The business now includes health care data and analytics business Truven Health Analytics, population health company Phytel, and medical imaging business Merge Healthcare. IBM first explored a sale of the division in early 2021, with Morgan Stanley leading the process. WSJ reported at the time that the unit was generating roughly $1 billion in annual revenue, but was unprofitable. Sources say it continues to lose money.

Business & Government Intermediate read

What Ever Happend to IBM's Watson?

After Watson triumphed on the gameshow Jeopardy in 2011, its star scientist had to convince IBM that it wasn't a magic answer box, and "explained that Watson was engineered to identify word patterns and predict correct answers for the trivia game." The New York Times looks at what's happened in the decade since.

Watson has not remade any industries. And it hasn't lifted IBM's fortunes. The company trails rivals that emerged as the leaders in cloud computing and A.I. — Amazon, Microsoft and Google. While the shares of those three have multiplied in value many times, IBM's stock price is down more than 10 percent since Watson's "Jeopardy!" triumph in 2011. The company's missteps with Watson began with its early emphasis on big and difficult initiatives intended to generate both acclaim and sizable revenue for the company, according to many of the more than a dozen current and former IBM managers and scientists interviewed for this article.

O que aconteceu com o Watson da IBM?

Depois do sucesso de Watson no programa de televisão "Jeopardy" em 2011, o principal cientista da IBM teve de explicar à empresa que o supercomputador não era uma máquina mágica de acertar perguntas e "explicou que o Watson havia sido projetado para identificar os padrões de palavras e prever respostas corretas para o jogo de perguntas e respostas [na televisão]". O New York Times investigou o que aconteceu na década que se seguiu ao ocorrido.

O Watson não provocou grandes transformações em nenhuma indústria. E nem aumentou a fortuna da IBM. A empresa ficou para trás de rivais que emergiram como líderes no ramo de cloud computing e IA - Amazon, Microsoft e Google. Enquanto as ações dessas três empresas multiplicaram seu valor em muitas vezes, as ações da IBM desvalorizaram em mais de 10% desde o sucesso de Watson no programa "Jeopardy" há dez anos. Os deslizes da empresa com o Watson começaram com sua ênfase inicial em iniciativas grandes e complicadas que tinham como intenção generar tanto aclamação quanto um lucro significativo para a empresa, de acordo com mais de uma dúzia de gerentes e cientistas que trabalharam e trabalham na IBM e foram entrevistados para esse artigo.> Watson has not remade any industries. And it hasn't lifted IBM's fortunes. The company trails rivals that emerged as the leaders in cloud computing and A.I. — Amazon, Microsoft and Google. While the shares of those three have multiplied in value many times, IBM's stock price is down more than 10 percent since Watson's "Jeopardy!" triumph in 2011. The company's missteps with Watson began with its early emphasis on big and difficult initiatives intended to generate both acclaim and sizable revenue for the company, according to many of the more than a dozen current and former IBM managers and scientists interviewed for this article.

Developers Intermediate read

Training AI Systems to Code

IBM has released an open dataset of coding samples, which demonstrate programming tasks, to help train AI systems to write code. The dataset, known as Project CodeNet, includes 14 million code samples in 55 different programming languages. Researchers at IBM have already begun using the dataset to train AI systems to write code and found that the systems achieved a 90 percent accuracy rate in most code classification and code similarity experiments.

Treinando sistemas de IA para programar

A IBM liberou um dataset aberto de amostras de códigos que demonstram tarefas de programação para ajudar a treinar IAs a escrever código. O dataset, conhecido como Projeto CodeNet, inclui 14 milhões de amostras de códigos em 55 diferentes linguagens de programação. Pesquisadores da IBM já começaram a utilizar o dataset para treinar sistemas de IA para programar e descobriram que os sistemas alcançaram um índice de precisão de 90% na maior parte dos experimentos de classificação e similaridade de códigos.

Business & Government Intermediate read

IBM ends all facial recognition business as CEO calls out bias and inequality

IBM CEO Arvind Krishna announced today that the company would no longer sell facial recognition services, calling for a “national dialogue” on whether it should be used at all.

IBM encerra todos os negócios de reconhecimento facial, enquanto CEO fala sobre preconceito e desigualdade

O CEO da IBM, Arvind Krishna, anunciou hoje que a empresa não venderia mais serviços de reconhecimento facial, pedindo um "diálogo nacional" sobre se deve ou não ser utilizado. Ele também expressou apoio a um novo projeto de lei com o objetivo de reduzir a violência policial e aumentar a prestação de contas.