Trends Identified
Digital currency flow
Decreasing friction in payments & exchange
2018
Corum Top Ten Disruptive Technology Trends 2018
Corum
Data science monetization
Maximizing return with real-time analytics
2018
Corum Top Ten Disruptive Technology Trends 2018
Corum
Focused IT Services
Differentiation drives new value in a sleepy sector
2018
Corum Top Ten Disruptive Technology Trends 2018
Corum
Smart logistics
Moving things & people with a new level of efficiency
2018
Corum Top Ten Disruptive Technology Trends 2018
Corum
Connected health
Linking people to their health services & data
2018
Corum Top Ten Disruptive Technology Trends 2018
Corum
Regtech Systems
Letting computers keep up with compliance
2018
Corum Top Ten Disruptive Technology Trends 2018
Corum
Data security
Building barriers in an age of blurred lines
2018
Corum Top Ten Disruptive Technology Trends 2018
Corum
Reengineering technology- building new it delivery models from the top down and bottom up
With business strategies linked inseparably to technology, leading organizations are fundamentally rethinking how they envision, deliver, and evolve technology solutions. They are transforming IT departments into engines for driving business growth, with responsibilities that span back-office systems, operations, and even product and platform offerings. From the bottom up, they are modernizing infrastructure and the architecture stack. From the top down, they are organizing, operating, and delivering technology capabilities in new ways. In tandem, these approaches can deliver more than efficiency—they offer the tools, velocity, and empowerment that will define the technology organization of the future.
2017
Tech trends 2018
Deloitte
No-collar workforce- humans and machines in one loop- collaborating in roles an new talent models
As automation, cognitive technologies, and artificial intelligence gain traction, companies may need to reinvent worker roles, assigning some to humans, others to machines, and still others to a hybrid model in which technology augments human performance. Managing both humans and machines will present new challenges to the human resources organization, including how to simultaneously retrain augmented workers and to pioneer new HR processes for managing virtual workers, cognitive agents, bots, and the other AI-driven capabilities comprising the “no-collar” workforce. By redesigning legacy practices, systems, and talent models around the tenets of autonomics, HR groups can begin transforming themselves into nimble, fast-moving, dynamic organizations better positioned to support the talent—both mechanized and human—of tomorrow.
2017
Tech trends 2018
Deloitte
Enterprise data sovereignty- if you love your data, set it free
As every organization recognizes data as a key asset, there is an increasing demand to “free” it—to make information accessible, understandable, and actionable across business units, departments, and geographies. This requires modern approaches to data architecture and data governance that take advantage of machine learning, natural language processing, and automation to dynamically understand relationships, guide storage, and manage rights. Those same capabilities are needed to navigate changing global regulatory and legal requirements around data privacy and protection.
2017
Tech trends 2018
Deloitte