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Nov 20, 2018

How the Future of Banking Will Look Like

Vikas Bansal Regional Sales Director

The current prevalence of digital banking is largely focused on the Customer Acquisition and Customer Experience domains. In future, this will evolve to a more holistic ‘financial wellbeing’ focus with banks potentially becoming utility players...
Get! Set! Smart!
The next industrial revolution is already here. The Internet of Things (IoT) is the answer to the question on what could come next after automated machines and smart computers. The manufacturing industry is at the forefront of adopting IoT, far...
Risk & Compliance
This is said that by 2025, there would be fundamental differences in the risk functions pertaining to banking and financial sector in comparison to today and we could see enormous transformation in next ten years than last few decades. This is not...
Manufacturing is an area where the incorporation of different parts of AI is taking place. AI encompasses a range of technologies that are learned over time, as they are exposed to more data. AI has brought a new dimension which helps analyze data,...
Transport Industries
Automation with AI is a transformation of transportation within the city. AI also can be used to help predict maintenance events and diagonise problems. A mechanic can use data from sensors in the vehicle to make a diagnosis. 
Blockchain is the technology that underlies cryptocurrencies like bitcoin and Ethereum. It records transactions on a public, distributed ledger and gets rid of the need for a third party in most cases. The technology is touted as faster and more...
AI and Automation, the terms that bring excitement and fear simultaneously on the face of any ma
Organizations, today, are to adopting new innovative technologies to stay ahead of the competition. One such technology is collaborative robots (cobots), which help manufactures learn about the benefits of sharing the work space by humans and robots...
The Industrial Internet of Things (IIoT) encourages work toward developing more sophisticated technologies in order to transform the manufacturing process and computerize and automate it. The trend is popularly described as Industry 4.0, the fourth...

Jul 12, 2018

Demand sensing and Inventory Optimization

Arindam Sen Director, Manufacturing Solutions

Demand sensing is a new technique of forecasting. This technique uses mathematical methods on real-time information to calculate a forecast of demand with higher accuracy. The higher accuracy of demand sensing reduces forecast error by a significant...
comes to breaking such a triangle by disrupting the status quo. Industries such as commercial aviation and computing went through disruptions which made services affordable, accessible, and better over time. The same is possible for the healthcare...
Tech Giants have invested heavily in building IoT platforms and OEMs have launched AR/VR headsets providing some very unique consumer experiences. While IoT devices collect billions of real-world data points for analysis and visualization, VR/AR is...
Digital Customer Experience
Consumers expect digital services that are personal, self-servicing and available 24/7. For many Utilities providers, the first step toward digital customer experience transformation is delivering a best-of-class, on-demand system for customers to...
Unleashing the Potential of Blockchain Blockchain’s Applications in the Telecom, Media and Entertainment Industry
Data Analytics Game
How can we use machine learning in the insurance industry? Machine Learning could change the dynamics of the insurance industry sector. As an essential tool for insurers, it could help in improving underwriting, pricing policies and detecting fraud.
Digital Customer
The advent of smartphones, smart appliances, artificial intelligence (AI), and machine learning (ML)-enabled cars has caused a shift in the way customers experience services. With the role of technology in the lives of customers increasing every day...
Rising Tide
The next-generation patient engagement portal (PEP) will track patient journeys from end to end. Automated health chatbots will become an integral functionality of PEPs. Healthcare organizations will be able to use artificial intelligence (AI) to...
Focus: A leadership superpower

Jun 10, 2019

Focus: A leadership superpower

Martin Burns EMEA Director

Continually asking for things, being promised them, and not getting results is one of the most frustrating situations that leaders experience. Identifying and pursuing the wildly important thing to completion helps to increase team output, de-...

Rise of Chatbots
Sandip Bhattacharya - ASSOCIATE VICE PRESIDENT SAP Practice | April 12, 2019

A chatbot is loosely defined as a computer program which conducts conversation via auditory and textual methods. It is derived from the word “ChatterBot”, coined by Michael Mauldin in 1994. There are several derivatives – verbot, smartbot, talkbot, IM bot, interactive agent, conversational interface, AI conversational entity, and so on.

Interestingly, this idea was perceived in 1950 by a brilliant British mathematician and scientist with years of expertise, Alan Turing. While Turing theorized on text-based conversational interactions, the technology has evolved over the years.

So, what has changed? Well, in the last three to four years there has been an exponential proliferation of chatbots, an underlying technology component for delivering higher business value with human-like intelligence (the Turing criterion). How do these chatbots work? Typically, there is a user interface that allows a user to type in or ask using AUI questions (or phrases, expecting a response), the same is processed by an NLP (natural language processing) engine to convert to a structured code. This code is then run on a target system or application to get the result and the reverse loop is completed similarly.

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Capital Markets – Regulatory environment for 2019
Kinsuk Mitra - Director of Finance, Risk and Compliance | April 11, 2019

What's ahead of regulations for Capital Markets?

In today's rapidly evolving marketplace environment, let us take a closer  look at the regulatory requirements of capitals markets this year which can help to address the key business issues that are converging with impacts. 

The California Customer Privacy Act (CCPA)
Prakash Menon - AVP & Industry Principal - Utilities | April 9, 2019

California’s new, landmark privacy law “The California Consumer Privacy Act” (CCPA), was unanimously passed by California lawmakers and signed into law by the Governor on June 28th, 2018. It gives California consumers unprecedented personal data protections and sets the tone for similar legislation in other states. This is based on the recent data breaches, and the negative public reaction to them, have underscored the low tolerance consumers have for the perceived misuse of their data, especially as they are constantly being asked to share more and more of it. Governments worldwide are responding to the growing calls for legislation around the protection of personal data. This would require significant changes to their data, information management and information systems for companies dealing in personal data.

Artificial Intelligence in Tech Industry
Sandip Bhattacharya - ASSOCIATE VICE PRESIDENT SAP Practice | April 8, 2019

There are many concepts within the domain of artificial intelligence (AI), including machine learning (ML), deep learning, neural networks, natural learning processing (NLP), virtual reality (VR), Augmented Reality (AR), LSTM, and a few others. All of these deal with a vast amount of data in various shapes and forms - sound, image, video, electrical pulses, temperature, pH values, viscosity, biome markers, structured and unstructured data, and so on. Various techniques (like modeling) are used to process such data or a combination thereof using oversimplified as learning and scoring. AI is enabling facial recognition on your phone. Conversational AI is reducing the tactile footprint of human interaction, creating increased “naturalness” in ever increasing user surface area. Advancements in AI is transferring cognitive burden from user to the device. We are experiencing AI every day in some shape or form.

Edge computing puts low-level compute power in front of end devices, rather than sending all the data to a centralized hub. Instead of sending terabytes of data generated by an F1 car to a central server, each device (like tire pressure sensor) has small compute capacity and sends only relevant data to the next sensor or the central server. LSTM, on the other hand, handles large chunks of data by breaking into smaller relevant pieces with the ability to forget and pass-on.

Role of IoT and Data Mining in the Tech Industry
Saravana Nallakamu - SAP Digital CX Practice Lead – North America | April 8, 2019

The Internet of Things (IoT) is the network connecting the world of tangibles to that of the intangibles, that is, a network of physical objects connected to the software cloud. With the increasing popularity of IoT, new solutions are designed using IoT which have an overwhelming amount of data pouring from all directions. Data mining algorithms are being developed to tackle these problems. With the smartphone revolution, app developers needed a smartphone platform like iOS and Android created by Apple and Google. Similarly, in the case of IoT, tech giants have been expected to set the protocols, infrastructure, and an established framework for the future development of IoT and data mining techniques.

Neural Networks: Inception and Insights
Saravana Nallakamu - SAP Digital CX Practice Lead – North America | April 5, 2019

The human brain has always been an object of fancy and of fantasy for the scientists of the world. Not just scientists and neurologists, but every human being has, at some point, thought of the infinite mysteries that lie inside their own heads. Technology companies like Google, Adobe, Facebook, and Instagram use this framework widely in their products. A futuristic vision is that a computer should be able to understand and interpret data based on images and videos fed through neural networks. One of the Modular Neural Networks, GAN system, is basically a robot artist that can be trained to create images, videos, etc. that are astoundingly similar to things one sees in real life.

Importance of Digital Customer Experience in Tech Industry
Saravana Nallakamu - SAP Digital CX Practice Lead – North America | April 5, 2019

The advent of smartphones, smart appliances, artificial intelligence (AI), and machine learning (ML)-enabled cars has caused a shift in the way customers experience services. With the role of technology in the lives of customers increasing every day, it is safe to say that streamlining business strategies to improve digital customer experience is crucial now more than ever. Digital design and data analytics sectors of a company must work together when it comes to digital customer experience. A few digital experiences can be annoying and sometimes even obnoxious.

Potential Use Cases for Big Data and Analytics in Healthcare Payer Organization
Manmanth Kumar - Senior Management Trainee – Healthcare Sales Support | February 25, 2019

The only way to find out how Big Data is making the world a better place is by tracing its uses in healthcare. As per HIMSS, the amount of healthcare data being generated is increasing at an exponential rate of 48% a year, hence, healthcare organizations are looking for ways to manage and leverage the same.

To better understand the impact of Big Data and analytics, we can segment the healthcare payer organization into three operational areas, i.e., front office, back office, and middle office.

Digitalized Subrogation – A Focal Point for Loss Ratio Improvement
Prasannavenkadesh Sankar - Senior Business Manager | February 14, 2019

Optimized Processes in Claims Lifecycle and Straight Forward Claims Settlement in Fast track are some of the Buzzwords being articulated repeatedly when the Insurers look for improving their Loss Ratio.

5 Reasons Why: "AI" - A Double-edged Sword for Cybersecurity in Financial Services
Sudip Lahiri - Head - Financial Services, Europe | February 14, 2019

The blog lays out the top five reasons why AI acts as a double edged sword for Cyber Security in Financial Services. Written by Sudip Lahiri, Head of Financial Services for Europe, the blog contends that institutions must be careful to look at AI as an enabler, rather than a replacement for human intervention.