Although the vast majority of labs use digital viewing systems for quality assurance and professional development, the use of digital pathology in routine workflows remains relatively uncommon, and whole-scale adoption is even rarer. Cash-strapped providers are often reluctant to back digital pathology. "Linking the business case to lack of staffing helps, but the efficiency savings in existing senior staff time, as well as multidisciplinary team time savings are the real levelers," says Jo Martin, President of the Royal College of Pathologists.
The IT industry is positioned to experience major technology shifts within the next few years as a result of the rise of cloud adoption. According to Gartner, more than $1 trillion in IT spending will be affected by the shift to the cloud by 2020 - making cloud computing "one of the most disruptive forces of IT spending since the early days of the digital age." As enterprises prepare for, or continue to run on, the cloud, it is important for them to have a strong grasp of the cloud adoption process and the requirements for ongoing management of cloud environments. Here are five major trends that will shake up the industry in 2017. As enterprises fight to stay ahead of the competition, many will choose to pursue acquisitions to both bolster their existing capabilities and fill the gaps in their cloud portfolios.
Adoption is fundamentally the number one deliverable of any collaboration solution. It is very hard to justify ongoing focus and investment in collaboration if it is not actually used. In my last post we had a look at the importance of business requirements. These underpin both the technology decisions, as well as the motivation for change and adoption in the user base. As concluded, they are not optional.
Artificial intelligence is about business expansion and opportunity. According to PwC, the adoption of artificial intelligence by firms will add $15.7 trillion to global GDP annually by the year 2030. The sectors most likely to benefit are insurance, manufacturing and the automotive industry. The drivers for the adoption of artificial intelligence are data and data analytics. Companies have at their disposal access to ever more data and there is a need for new technologies to make sense of the vast amounts of information.