What sets high performing IT organisations apart from the rest? It could very well be their ability to anticipate. The days of IT thinking it needs to ‘align’ with the organisation are over.
With so much market hype around Artificial Intelligence (AI), Big Data, Machine Learning (ML) and other technologies, most companies are finding it difficult to ingrain data as a key driver of business decisions.
Agile construction methodologies are dramatically changing how IT infrastructure is being built. Those construction practices will, in turn, give CIOs more flexibility in how they do IT planning and save money on a fast-growing aspect of their budgets at the same time.
SLA adherence is no guarantee of outsourcing success. Here’s how to avoid seeing red when all the lights on the service delivery dashboard are green.
Hyper- Availability of data 24*7*365 becomes critical for survival in the digital disruption era. A robust plan for business continuity is critical too, as businesses rely heavily on data and applications to drive their business and increase customer engagement.
A recent Gartner report stated that by 2020, 1.8 million jobs will be eliminated owing to the permeation of AI. AI-naysayers sharpened their knives and joined chorus against the technology. In the commotion, nobody noted the second bit of information: that 2.3 million new jobs will be created, which need AI-related skills.”
Awareness, compliance, and technology complexity are the major challenges that businesses face as the EU General Data Protection Regulation (GDPR) comes into force on 25th May 2018.
There’s a happy medium between full transformation and none at all, and it comes down to knowing what you have and what you need
With fresh inspiration emerging from the new radical wave of start-ups and their simple business models, large enterprises are continuously looking at acquiring start-ups and implementing such models, across the globe in their business and technology environment.