Computers have long helped us at work. But with artificial intelligence we can now work with them in more collaborative and intuitive ways.
People are no longer patients, but instead they are consumers of healthcare. This blog explores how the healthcare ecosystem must evolve to support this shift in consumerism, the increased patient data that is available, the IoT, electronic medical records (EMRs), shifts in politics, and the transformation to outcome based care.
Some cynical predictions for Business Intelligence and Analytics in 2017...
Artificial intelligence is quickly knocking down the dominoes of complex tasks that computers have long struggled with.
In today's ever changing and smarter world consumers want to be able to influence the products they consistently buy with their ideas. Taking the fashion industry as an example: new trends are only one factor that determine the newest collections. Customer satisfaction has always been and will always be a crucial factor for businesses to stay competitive in their respective markets.
Multinational companies directly drive the major part of global businesses. Often the business of subsidiaries, dedicated Line of business, acquisitions or divestitures are run with the ERP system of the headquarters, but there are cases where it is advantageous to run the subsidiary with their own independent ERP system.
Though many analyst firms agree that finance applications are gradually moving to the cloud, the concrete benefits might not be equally understood. Apart from the benefits of lower TCO, cloud deployment of financial applications primarily provides three strategic benefits:
Answers to some key questions about the use of machine learning and artificial intelligence in enterprises.
Data is at the very core of the business models of the future - and this means wrenching change for some organizations.
Of 120 healthcare professionals surveyed, 2/3 reported improved patient outcomes due to personalized medicine initiatives and three-quarters of respondents expect to see value on their organizations in the next two years. By leveraging high speed in memory analytics technology, healthcare organizations can now comprehend astronomical amounts of data to improve patient outcomes.
Being able to pay your coffee with your smartphone is something only little people could have imagined just a few years back. But the trend of people paying without cash took the next step by eliminating the credit or debit card and using the thing everyone is always carrying around anyway. Read more via this use case.
Digital Transformation in Consumer products industries: For companies in this field it is necessary to enable appliance manufacturers to sell not only products but also services. To achieve this, the company needs to equip their products with sensors, and collect and analyze product performance data through predictive analytical models.
October is Breast Cancer Awareness Month. Read how Kym Martin saved her own life by advocating for her health and insisting on data-based healthcare treatment decisions. Interview conducted at SAPPHIRE NOW 2016.
Many businesses have already begun to transition themselves towards digital transformation as they realize that it is not something to be left for tomorrow. With this series we want to illustrate, on industry specific use cases, how businesses can re-imagine their business models, processes, products, and services, for the purpose of achieving the benefits of the digital transformation.
Today digital transformation is a well-known concept. The growing connectivity of people, machines and even businesses has changed the demands of the markets. In order to keep up and stay competitive, business have to adjust to these demands by digitizing their processes and business models.