5G had aggressive rollout plans anyway and COVID has exasperated the need for this new tech. Aligned to this and the political shenaniganss amidst COVID’s time, Huawei had their Annual Analyst Summit with some interesting takeaways.
Category: Digital Transformation
CIO WaterCooler member Andre Simm, an Interim IT Director, Transformation and Turnaround Specialist with a wealth of experience in IT services shares his best practices for managed services. Andre goes into great detail about the dynamic of the relationship between customer and vendor, and what value looks like. As many IT leaders are taking the route which sees their teams doing more of the “fun” and creative IT work, while outsourcing the BAU items, this article provides excellent advice for how to establish principles for an effective managed services approach.
David Norfolk from Bloor Research provides some perspective on IBM’s Think Conference being hosted online this year. David also shares some of the key developments coming from IBM including advances in edge computing and 5G, with hybrid multi-cloud offerings that bring together Red Hat OpenShift.
5G will make some lagging use cases a wider reality, for example AR and VR and the obvious gains for the gaming and media/entertainment sector. We need to see however 5G delivering more tangible use case benefits around the likes of education (which will bring benefit across the world due to the lower latency) IOT and wearables which all have the opportunity to accelerate and become mainstream commoditised drivers of 5G adoption. 5G needs to demonstrate not just speed and reliability, but drive capability; the capability to do the new ; innovate and being benefits that will drive the users value aligned to the increased costs.
For many businesses, digital has simply been the domain of marketing: web marketing, email marketing, search engine marketing, social media marketing, etc. It was lightly wrapped around existing products and services. As...
With all the hype around the Fourth Industrial Revolution, many organisations are scrambling to implement AI and Machine Learning in their operations and client offerings. Many are failing. Where do you start and what are the steps to ensure a successful implementation?