Robotic Process Automation (RPA) robot is a custom program usually used to perform low and middle-level complexity repetitive tasks with/without human intervention. Businesses primarily implement RPA to achieve cost reduction and eliminate human errors in well-defined business processes.  

Technology transformations are often touted as the holy grail of business change and rejuvenation. This feeds into an expectation that the transformation project will change everything for the better overnight. And since it is a 'cloud' system, it will be like stealing candy from a child. Clearly, people have never really tried stealing candy from children – or they wouldn't find the raging tantrum that ensues 'easy'.

Sean Gerety once said, the technology you use impresses no one. The experience you create with it, is EVERYTHING.

We have worked with 50+ Universities over the years, and there has always been talk of a digital campus. It’s something which makes sense, especially in the current global climate, but it’s not as easy as it sounds. 

Should enterprises move their business-critical systems to the cloud? Most enterprises, especially the ones looking to modernise their legacy systems & processes would answer in the affirmative- ‘a resounding yes!’

Cloud adoption is the latest computing paradigm that has taken over the IT industry. Enterprises are adopting cloud computing services to transfer increasingly significant pieces of their business to the cloud to make themselves much more competitive. By leveraging cloud services, they can deploy their software systems over a pool of resources. Recently, Fitbit moved all the data associated with its Care Management and Coaching Platform for healthcare providers to Google Cloud —giving Fitbit the scale it needs to integrate with large hospitals and insurers. Similarly, Kroger Co. USA’s biggest supermarket chain migrated all its websites and mobile applications to cloud. Cloud-based services have amassed popularity among public organisations as well, with almost half of the US government organisations actively using cloud services.

Cloud-based services have gained attention across the industries, however, the potential for increased uptake of the technology is still large. As per Gartner 2019 forecast report over the next three years, 44.6 percent of smaller organisations along with 37.7 percent of midsize and 40.4 percent of larger organisations plan to migrate to the cloud. However, ‘how to migrate to the cloud?’ is still an unanswered question for many organisations. To minimise the potential risks associated with the migration, it is important to have the right migration framework to improve the maturity level and consequently trust into legacy-to-cloud migration.

To ensure successful cloud migration, enterprises should focus on how to move to the cloud. Cloud is more than just a hosting platform and simply moving all the data to a cloud platform cannot be classified a successful migration as it is not sufficient to tap into the possibilities that a good cloud migration strategy could render. It prevents you from taking advantage of the cloud’s unique capabilities to create something entirely new, the right way. Some case studies have illustrated that having the right cloud migration strategy can be a significant differentiating factor between a successful migration vs. failure of investments. 

A successful cloud migration requires the planning and execution of a comprehensive strategy that sets migration goals, creates a timeline, anticipates challenges, and defines the project’s success.

Here are four important stages to ensure a fast and uneventful move to the cloud:

Successful RPA adoption requires successful adoption of the ‘Automation First’ mindset. Businesses embarking on a digital transformation journey should carefully weigh their options, align changes to their growth plans and define a clear set of strategies before taking an exploratory plunge.

To deliver value and accelerate growth, enterprises need to change their fundamental approach and add speed and accuracy to the various business processes. New digital technologies present both game-changing opportunities for and existential threats to companies whose success was built in the pre-digital economy. Digital transformation is a pre-requisite for sustainable growth and in some cases, survival of enterprises in the current dynamic and pace-driven market.

What are some of the AI related challenges and transformational possibilities we are faced with as a company delivering digital transformation for enterprises? This is the question I attempted to answer in my innovation keynote speech at AI Tech North, the first large scale AI conference in the North of England. It was truly exciting to share insights, my perspective and observations with AI enthusiasts, academics, graduates and leaders gathered in large numbers to discuss innovative technologies and data trends.

Agile Government Digital Service (GDS) framework was designed and adopted by the UK public sector to ensure a higher level of agility in their digital services development programmes. This terminology is not new for people and enterprises that are already associated with digital services market or public sector transformation initiatives in the UK.

For all enterprises and professionals involved in digital transformation projects or digital services development, it is vital to have a firm grasp on the historical background and reasons for putting in place a distinct framework.