Analytics

News, trends and insights for the field of analytics

Data science and social good: Fighting opioid addiction

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This is the second part of a two-part series that explores connections between advanced analytics and corporate responsibility. Recently, two student researchers from the global DXC Internship Program harnessed an innovative analytics solution to unearth insights into the U.S. opioid crisis. The goal was to begin creating a framework for better understanding addiction risks. Comments […]

Accelerate the digital transformation agenda with AI

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Rapid innovation and productivity breakthroughs require an accelerated digital transformation strategy that melds people, business processes, advanced analytics, and new human/machine interaction technologies. Today, it is the supervised machine learning segment of AI that is generating the most economic value. But as digital transformation accelerates, the abundance of data that AI can consume will drive […]

Data science and social good: Stronger communities, better healthcare

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This is the first part of a two-part series that explores connections between advanced analytics and corporate responsibility. If businesses can use analytics to calculate millions of credit scores, predict churn rates and accurately project sales growth, then shouldn’t data science also have the potential to help us address societal challenges with facts and insights? […]

The patient as a customer: Using IoT to deliver new models of care

by David Pare There’s so much talk across healthcare about electronic medical records (EMRs). For many, it seems to be the answer to every question, solving all problems of healthcare. At a recent Health Information Technology WA (Western Australia) conference in Perth, for example, three plenary speakers on the main stage were touting its benefits. […]

6 secteurs bousculés par le machine learning

L’apprentissage automatique (ou machine learning) n’est plus une « technologie d’avenir ». Les entreprises allant du secteur minier à l’industrie manufacturière en passant par la médecine utilisent aujourd’hui l’apprentissage automatique pour mieux répondre aux besoin de leurs clients, doper leur R&D, ou transformer leurs modes opératoires. Voici quelques exemples : Activité minière L’intelligence artificielle (IA) et l’apprentissage […]

Predictive evaluations: Using AI to reward (or punish) employees for future performance

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Human resources professionals are (or soon will be) using artificial intelligence (AI) to recruit and interview job candidates, to measure an employee’s value, and to conduct performance assessments. The next step — which some companies are already taking — is to use AI to assess not past, but expected future performance. From Bloomberg‘s Rebecca Greenfield: Using […]

L’apprendimento automatico viene attualmente utilizzato in questi settori

L’apprendimento automatico non è più una tecnologia “del futuro”. Le diverse industrie, dal settore minerario a quello manufatturiero, e persino nel campo della medicina, utilizzano oggi il machine learning per servire meglio i clienti, alimentare la ricerca e le innovazioni di prodotto e trasformare le operazioni. Ecco alcuni esempi: Settore minerario L’intelligenza artificiale (IA) e […]

How the 2019 digital trends impact Asia – Part 2

DXC recently released six digital trends that will drive the market in 2019. In my previous post, I addressed three trends that center around “data gravity.” In this post, I want to tie together the other three trends: Enterprises adopt next generation IoT platforms. Enterprises enter an age of information enlightenment. Enterprises redesign customer experiences […]

How will healthcare data deliver on its promise?

by Jonas Knudsen One morning in August 2012, I entered my office in the hospital and turned on my PC. As a university hospital chief information officer (CIO) responsible for all mental health hospitals in the region of Southern Denmark, I was tasked with not only keeping the lights green on our digital infrastructure, but […]

Algorithm bosses: No yelling, but lots of micromanaging

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Enterprise workers today use technologies such as computers, smartphones, mobile apps, and cloud platforms as tools that allow them to be more productive and efficient. In the workplace of the future, however, the stakes will be raised: Employees will collaborate and interact with advanced technologies such as algorithms, robots, and artificial intelligence (AI). And some […]