IT strategy, leadership in digital organisations, and talent and capability management – curated from analysts, CIOs and technology leaders, with a link to every original source.
TopicsIT ProfessionalIT ManagementAI & MLRisk & securityCloud computingStrategy and trend
Core to the cloud total addressable market (TAM) analysis are driving factors such as workload adoption, workload spend, and workload expansion, which we discussed and validated with a number of practitioners and end users in the field.
We ran three scenarios and believe that the one we consider most likely will result in a $2 trillion public cloud market in the foreseeable future (a 10–20-year timeframe)
And here we are, at the dawn of the AI revolution, where the advent of cloud computing and computer processing power, cheap storage, new algorithms, as well as new product and service innovations realises the benefits of a technology – from driverless cars and virtual reality to medical diagnostics and predictive machine maintenance
The Asia-Pacific region has long been a strong manufacturing base and the sector continues to be a strong adopter of the Internet of Things (IoT). But as the latest Microsoft IoT Signals report shows, IoT is now much more widely adopted across verticals, and across the globe, with smart spaces—a key focus for many markets in the Asia-Pacific region—becoming one of the leading application areas.
That’s why I think we’re going to see more companies empower their front-line teams to fully manage the customer experience (CX), from identifying and solving CX problems to deploying solutions quickly and integrating lessons learned into future activities
We’re going to see more organizations use ESG objectives as a driver for reinventing their business models, developing new products and services, and offering unique customer and employee experiences.
Whilst AI will spur the development of even more new creative business applications, it will also help humans to find more time for being creative in their daily work.
Cloud computing alters data center thinking because from IT’s standpoint, the cloud isn’t under direct management.
Two of the most talked-about topics in the world of software development right now are Kubernetes and infrastructure as code (IaC).
In other words, as companies adopt new modern infrastructures (e.g., Kubernetes), novel security challenges arise that are best addressed by modern processes (e.g., DevSecOps).
Powered by the continuous influx of data, our self-learning machine learning (ML) models optimize these predictions every day, which improves outcomes and enables close alignment between Sales and Marketing
You want to build an online store, but with so many eCommerce platforms on the market, you’re unsure which one to choose for your business?
Therefore, it’s best to pick a platform that provides a wide range of features (e.g., plugins, shipping, managing goods, analytics, business tools, email marketing options, POS system, etc.).
IoT, AI, machine learning, and other Azure technologies can help building owners, operators, and occupants save money and live better lives.
Machine learning, Azure IoT Edge, and other technologies can help create safe indoor environments during challenging times.
“When we think about digital transformation and leveraging that digital technology, we tend to think about how it can help on the clinical side [with] things like precision medicine or using AI to detect signs of cancer,” said Hummy Song, a Wharton professor of operations, information and decisions.
DevOps and DevSecOps have created controlled, easily deployable, secure and automated development-to-production processes that allow software updates multiple times per day with less risk.
Because enterprise network security relies on static firewall rules that can only be updated in maintenance windows after a change approval process, securely deploying applications in an automated way will not work in dynamic cloud environments
As part of the continuous cycle of progressive delivery, DevOps teams are also adopting shift-left and shift-right principles to ensure software quality in these dynamic environments.