Cloud is becoming an increasing popular option for organisations to store data to power data analytics and business intelligence functions: data that is growing rapidly in volume and variety. However migrating data to the cloud and managing it in the cloud creates multiple challenges. This has given rise to a new discipline in enterprise IT:…
Data has always been fundamental to business, but as organisations continue to move to Cloud based environments coupled with advances in technology like streaming and real-time analytics, building a data driven business is one of the keys to success. There are many attributes a data-driven organisation possesses. Deloitte lists these as: Creating and shaping a common data…
To support real-time decision-making organisations need real-time data, in huge volumes. This data comes in many formats from multiple sources and multiple devices and may be stored in multiple silos. Individual business units might leverage the power of shadow IT: storing, analysing and gaining insights from their data, beyond visibility of and management by IT…
Today’s CIOs and IT leaders are increasingly being asked to balance three key priorities in their enterprises: transform digitally to scale faster and find new revenue sources; achieve operational excellence by reducing costs; and enhance the employee and customer experience by increasing satisfaction to grow revenue. In the recent State of the CIO 2022 research,…
Rahul Shinde, CIO of Coca-Cola Vietnam, joins James Henderson for CIO Leadership Live in ASEAN, produced by CIO.com and Foundry. Rahul highlights how the future of work is changing in Vietnam and the knock-on impact on employee requirements, in addition to articulating the value of automation in a post-pandemic world. Watch this episode: #id628c3ae27907b .jw-wrapper::before…
Enterprises moving their artificial intelligence projects into full scale development are discovering escalating costs based on initial infrastructure choices. Many companies whose AI model training infrastructure is not proximal to their data lake incur steeper costs as the data sets grow larger and AI models become more complex. The reality is that the cloud is…
The traditional approach for artificial intelligence (AI) and deep learning projects has been to deploy them in the cloud. Because it’s common for enterprise software development to leverage cloud environments, many IT groups assume that this infrastructure approach will succeed as well for AI model training. For many nascent AI projects in the prototyping and…
As more companies deploy artificial intelligence (AI) initiatives to help transform their businesses, key areas where projects can go off the rails are becoming clear. Many problems can be avoided with some advanced planning, but several hidden obstacles exist that companies don’t often see until it’s too late. With a need for speed, organizations must…
Lots of attention is being paid to how hybrid IT or multicloud fits into data-first business transformation, yet plenty of companies count colocation facilities as an important pillar of their IT landscape. Why? They offer scalability, agility, and cost-efficiency advantages as a way to power up data-first business without onerous data center investments. Driven by…
IT and security are at it again. Both teams are struggling to adapt to the recent move to hybrid technology environments. IT is struggling to bring their new endpoints under management, while security is struggling to lock down as many of these new systems as possible. Neither team can agree on which is more important…