MSSBTI

MARCH 20, 2019

must be flexible and agile to support increasingly dynamic requirements as digital business models evolve. Emerging technologies like Internet of Things/Edge, Artificial Intelligence, Blockchain, 5G, microservice, micro satellites, robotics and automation, and many others are simultaneously maturing into practical applications.

Strategy 40

Strategy Strategy Artificial Inteligence Roadmap 40

Paul Hobcraft

NOVEMBER 22, 2016

wearables, Internet of Things (IoT), artificial intelligence, virtual and augmented reality), companies will need a resilient infrastructure that adapts to not only mobile’s “micro-moments,” but also the impact of all these trends and new devices over time. With the runway for disruptive technologies still ahead (e.g.,

Technical Review 100

Technical Review Report Survey Artificial Inteligence 100

Innovation 360 Group

SEPTEMBER 17, 2019

The industry will need to add manufacturing software engineers, robotics specialists, machine learning specialists, automated systems engineers, cybersecurity specialists as well as designers, product engineers, developers, analysts, pricing strategists and procurement specialists, many of which are forecast to be in short supply in years ahead.

Leadership 40

Leadership Artificial Inteligence Technology Culture 40

The Inovo Group

APRIL 17, 2017

There is no reason and no way that a human mind can keep up with an artificial intelligence machine by 2035. In 10-15 years time, an Artificial Intelligence (AI) could be helping to run your company. Gray Scott, Futurist & Techno-philosopher. the more traditional enterprises).

Disruption 40

Disruption Artificial Inteligence Technical Review Tips 40