StatsAdelen aka embedsværkets elitekorps af partisoldater, har for længst beregnet sig frem til en cost benefit model og kommet frem til et resultat, der brænder de 800.000 offentlige ansattes lys af i begge ender.
DE OFFENTLIGE ANSATTE koster for meget, af have siddende (godt gammeldaws Venstre politik)
Til gengæld, har erhvervseliten og banksektoren, fået en hjælpende håndsrækning med garantien om konstante fyringsrunder, hvor mennesker, bliver erstattet af ROBOTTER, lige siden Sophie Løhde, blev ny minister for offentlig innovation...
Sophie Løhde er IKKE en CYBORG lige nu, men en Genetisk Modificeret Politiker, som vil ændre Danmark med hidtil uset form for digitalisering- & robotiseringsteknologier... mennesker, primært beskæftiger sig med ADMINISTRATION og SUNDHED..
Med andre ord, Sophie Løhde står i spidsen for ny teknologi, digitalisering, innovation og disruption. En minister som er tvungen ind i teknologibevægelsen »The Singularity« eller Singularity University (sponsorer som Google, NASA, Cisco og biotekgiganten Genentech) der henter inspiration fra NASA Ames Research Center i USAs tech-mekka Silicon Valley. Her finder de svarene på, hvordan vi overlever og skaber forretning i en fremtid befolket af selvflyvende droner, selvkørende biler, selvlærende robotter, biologiske 3D-print, kunstig intelligens og et arbejdsmarked, uden MENNESKER 👶👦👧👩👴👵 ...
Noget der passer perfekt til den danske industri, den offentlige sektors sparerunde og finanssektorens strategi om simplificering, standardiserede it-systemer og global arbejdsdeling. Som skabt ud af lobbyisternes støbeform til danske Erhvervsvirksomheder ... | You can take that to the bank!...
When it comes to applications for machine learning, few can be more widely hyped than medicine. This is hardly surprising: it’s a huge industry that generates a phenomenal amount of data and revenue, where technological advances can improve or save the lives of millions of people. Hardly a week passes without a study that suggests algorithms will soon be better than experts at detecting pneumonia, or Alzheimer’s—diseases in complex organs ranging from the eye to the heart.
The problems of overcrowded hospitals and overworked medical staff plague public healthcare systems like Britain’s NHS and lead to rising costs for private healthcare systems. Here, again, algorithms offer a tantalizing solution. How many of those doctor’s visits really need to happen? How many could be replaced by an interaction with an intelligent chatbot—especially if it can be combined with portable diagnostic tests, utilizing the latest in biotechnology? That way, unnecessary visits could be reduced, and patients could be diagnosed and referred to specialists more quickly without waiting for an initial consultation.
As ever with artificial intelligence algorithms, the aim is not to replace doctors, but to give them tools to reduce the mundane or repetitive parts of the job. With an AI that can examine thousands of scans in a minute, the “dull drudgery” is left to machines, and the doctors are freed to concentrate on the parts of the job that require more complex, subtle, experience-based judgement of the best treatments and the needs of the patient...
