To leverage the many opportunities offered by new digital technologies, enterprises are changing their approach and adopting an “automation-first” mindset. RPA is usually the first step on their automation journey, providing highly effective process automation, integration and increased productivity. However, it still relies on the “human touch” to interpret unstructured data, provide conversational understanding and decision-making. To move towards full automation, solutions need to be smarter.
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.
Data Science or Analytics is an art of leveraging data streams to improve decision making. It uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
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.
After 5 years of the first enterprise level implementation of RPA, the recent traction that is being noticed in the corporate world is an indicator of the IT landscape warming up to the concept, and gaining insight into the dynamics of tactical application of robotics.
An ancient proverb says, ‘Knowledge is like a garden; if it cannot be cultivated, it cannot be harvested.’ At Mastek, we firmly believe in knowledge sharing and actively create opportunities to provide Mastekeers and industry professionals with the right platform to interact and initiate dialogues.
We recently hosted the 21st Chapter of the Agile Testing Group in Mumbai. The event provided testing professionals with a platform to interact with test associates and industry experts; enabling them to share experiences, get insights on the latest innovations and trends in software testing as well as a chance to participate in hands-on sessions.
Agile Government Digital Service (Agile 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.
Modern innovations, such as Robotics Process Automation (RPA), Cognitive Process Automation (CPA) and Artificial Intelligence (AI) allow businesses to accelerate their digital transformation journey and reap the rewards of increased customer engagement and improved worker productivity, faster.
On the first floor of the Imperial War Museum, William Orpen gazes out of his 1917 self-portrait, ‘Ready to Start’, into the Orpen Boardroom. On 16 July 2019, the First World War artist’s gaze fell upon a group of senior leaders gathered to discuss the delivery of public services in uncertain times.