In the age of Machine Learning, RPA, Analytics, Natural Language Processing, Chatbots and continuously evolving technologies, ‘Reskilling’ isn’t a choice anymore.
In earlier days ‘Reskilling’ was considered more of a fancy term than a requirement. Enter Covid-19 crisis, it has pushed the need of digital presence multifold creating a huge requirement and void at the same time which can only be filled in by reskilling of existing workforce.
Social distancing norms offers a remarkable opportunity for financial institutions to bolster their digital engagement journeys for products and services that have traditionally been exchanged via face-to-face interaction at the branches. There are plenty of opportunities where the right technology can not only facilitate an enhanced customer experience, reduce costs, and improve employee engagement, safety, and productivity, but also differentiate the enterprise by positioning it towards a higher value proposition.
Most of the organizations are good in managing structured data, but still there is so much of industry-critical data that exists in an unstructured format causing an exponential increase in data storage cost due to its maintenance of hot tiered Storage and DC footprint cost. Data is critcal for every business’s success and it’s considered to be one of the most valuable resource for any organization. However, every data is not an active data since there are more than 40% of customer data which is deemed to be ROT (redundant, obsolete or trivial), not well-known to any one, it is concealed from view, easy to ignore and hard-to-access as well as analyses.
A strong Dark data assessment solution delivers enterprise with a 360˚ view into corporate content for the more advanced analytics. This will enable service integrators (like HCL) to go beyond the cost management and start to innovate and creating new value to the customers with the insight that is extracted from massive and growing content. Analyzing file share (SMB/CIFS/NFS) to understand enterprises file data which bring business values to manage overall Data life cycle (Visualize, Analyze, move and manage), driven data placement to discard unwanted data, archive to S3, DC consolidation to lower overall TCO, risk mitigation, and data management simplification to modernized customer digital journey.
The industrial revolution built the leading cities of the world we live in today. In the early 1900s, the advent of mass production and assembly lines transformed the job market. The age of mass production gave birth to new skills and introduced new roles. Factories were hiring machine operators, maintenance workers and quality controllers. Those who wanted a break from rural living migrated to thriving and enticing cities looking for new opportunities, better pay, and a new lifestyle. They also learnt new skills and built a career for themselves. After World War II, there was large-scale globalization and it created a new global demand and supply chain.
In a thriving world of fast-paced business environment and ever-changing business requirements, traditional linear approaches towards SDLC are fast becoming obsolete. The need for the new generation is to adopt nimble and agile approaches that employ iterative and collaborative methods to reduce the overall time-to-market. While an Agile method of development entails active participation of the business team that has shifted the focus from comprehensive functionality development to creating an operational product at the shortest time possible, DevOps is a further evolution of the process that takes an integrative approach with operations and continuous automation to ensure that the team responds to requirements immediately and the program is deployed in a seamless manner. With this blog, we try to elucidate the parallel aspects of both Agile and DevOps methodologies and establish why they need to be deployed in sync due to their complementary nature.
A key feature in the life sciences industry, IT compliance activity work in tandem with the quality management team. Good practices process is therefore is an essential feature for manufacturing, laboratory, research, and other systems from execution to automation. Every GxP qualified systems will undergo periodic quality assessment for compliance. Risk assessment forms the basis for compliance activities. Most of the organizations manage compliance along with quality, leading to a shift toward an internal, independent team that monitors compliance for all change management procedures. In fact, compliance management metrics is a key performance indicator during the change. This ensures the quality, control, and governance of the organizations’ IT environment.
The Med tech industry is also struggling to ramp up production, bring advancements in design & price and at same time ensure delivery of critical care equipment is made available to patients. There is a shift in the way patients and healthcare providers will engage post this situation is handled. MedTech have a lot of research going in this area and pressure to bring innovation. They are speeding up adoption of digital solutions including analytics to manage most of it. Supply chain mechanisms also have to be digitalized to all possible extent bringing agility & providing more visibility & predictability to demand and manufacturing disruptions globally, using data analytics models. There has been a restriction in movement of human workforce and this has impacted business operations in Med Tech industry domain also. Med Tech technicians since don’t possess direct life-saving skills, there is a requirement for them to work remotely to maximum possible extent. Introduction of digital remote work based solutions have been successful in handling reduced presence of industry technicians into healthcare provider premises while ensuring continuity of business.
The Covid-19 pandemic has seen nations adopting new policies and reforms backed by modern tools and technologies heralding nothing less than a healthcare revolution. The use of electronic information and telecommunication technologies in telehealth would become a crucial aspect in healthcare. Automation in healthcare can save labor, reduce cost, human delays, and errors resulting in rapid successful recovery outcomes. Preventive care would be backed by using and developing IoMT (Internet of Medical Things) devices such as wearable, trackers, and smart pills. There will be new online tools for insurance enrollment with less user interaction to increase scale. There will be increased usage of new collaboration tools among healthcare professionals around the world.
Organizations are grappling with the challenges of an ever-evolving business architecture landscape and are in the quest of business strategies, tools, and applications to ride over these challenges. From modernizing legacy systems to creating new applications to identifying the right business strategies, the idea is to align enterprise architecture (EA) with IT. This enterprise architecture approach is significant and relevant in today’s world. It’s intricate and challenging enough for many businesses. The most common way to define architecture elements is via standard architecture frameworks such as TOGAF, Zachman, DODAF, BIZBOK, FEAF, etc., which defines a robust meta-model. The need of the hour is to understand the nuances of enterprise architecture and manage it to realize long-term business goals.
Enterprises today, regardless of size, are made up of SaaS (Software as a Service), COTS (Commercial Off the Shelf), and set of bespoke apps. These are tools that assist decision making, business insights and customer journeys. Placing all three in a hybrid model made it easier to run things, but can we move forward from here? Highlighted in this blog is a quick look at automation as a solution, the challenges, possibilities, bottlenecks and benefits entailed. Also, included is a demonstration of applying unusual methods to enhance DORA (DevOps Research Association) driven maturity.
