1. AI will be the new normal
2. Unstructured Data gets its due
3. Monetizing data will be a key imperative
4. More Transparency in model building
5. Data Translators will become more valuable than Data Scientists
Technology has changed every aspect of the way businesses operate, and never in history has that change occurred so fast. The velocity of change we are seeing in the technology is unprecedented. We are witnessing the fourth industrial revolution, where Volatility, Uncertainty, Complexity and Ambiguity (VUCA) challenges are primary, and the boundaries between man and machine are questioned.Read More
Discover the evolution of automation in the Financial Services sector. Following through this evolution, Incedo looks at the key drivers and barriers to complete automation of the Retail Banking sector.Read More
Automation is (back?) riding the crest of the innovation news cycle these days. Our clients and prospects often discuss with us automation solutions to their problems. Is maximizing automation from the get-go always the path to maximum value? – is a question that comes up often. Not surprising, given the current stage that the automation hype cycle is in. However, does the front loading of maximum (or complete) automation always drive maximum benefits? Or are there other approaches that can lead to optimal value? I discuss a real-life case that we worked on recently, where we were faced with this very question.Read More
The Internet of Things (IoT) is already here, changing the world as we know it. An explosion of mobility, cloud and big data, along with IoT is incessantly shaping the industry landscape. While most of us are familiar with IoT in the consumer world of smart homes, wearable technology and connected cars, there’s much more brewing in the world of Industrial IoT – the blend of data, network and intelligent machines is creating a compelling impact on productivity, efficiency and operations in every vertical. Industries like healthcare and pharma, home automation, industrial automation and automobile have been quick to adopt and gain from IoT.Read More
Robotic Process Automation or RPA is a relatively new technology that’s clearly coming of age and is now ready for some PrimeTime- enough for the “discerning” Decision makers to take notice. As the word gets around, this guide attempts to answer few critical questions decision makers need to consider and decide for themselves if it’s right for them.Read More
The last few years have seen a gradual deviation towards newer technologies around the core telecommunication sector. As data usage and data generation grows dramatically, it's not hyperbolic to say that telecom trends in 2016 will reveal the course of operator services for years to come.
We have witnessed innovation around the non-traditional business model, how evolving technologies preset both business challenges and become the epicenter for transformation and disruption.
In a previous post (see here), I have written about how the buzz around big data technologies is forcing financial services (and indeed, other) organizations to take a fresh look at their data ‘pipelines’ – the mechanisms they use to store data and ferry it between its sources and its consumers.
Arguably, the most critical process related to the data pipeline that is undergoing the maximum change due to these technologies is the extraction /loading /transformation (ETL) of data.
A multi-national bank to move its “production” global HR data warehouse to a new technology platform by Q4 2016. A leading wealth management company builds an Enterprise Reporting Data Hub – the first use case already live “in production”. A large bank wants to improve operational efficiency in its AML processing by using external data for entity resolution Corporate IT in a bank wants to move its old data to a low TCO archival mechanism, but at the same time, retain rapid access to that data.Read More
Merchant attrition has been a problem that the payments industry has been grappling for quite some time now. The industry participants have been exploring the use of analytics to get a better handle on this problem. However, the use of technology has delivered underwhelming results - no significant headway seems to have been made in finding an effective solution till date. Does this mean that the problem is one that cannot be solved by technology, or is the time right for some new thinking in the use of analytics in the merchant attrition context?Read More
Organizations that are increasingly investing in Business Intelligence (BI) technologies on their journeys towards data-driven decision-making find themselves facing tool proliferation and increasing costs of ownership, with a feeling of lower overall control. These themes are actively gaining CIO mindshares, and possible solutions are being discussed.
In a series of posts, we throw light on how this situation came to be, the alternatives that are available to CIOs and the facets that must be considered.