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Ena Verma

Education

Weekly News (6 th Sept – 12 TH Sept 2010)

Latest buzz in the Indian IT sector ,[object Object],[object Object],[object Object]

HP, Bharti in talks to offer cloud services for SMBs ,[object Object],[object Object]

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Stevens Institute of Technology predicts that as many as 23 million fully autonomous vehicles will be traveling US highways by 2035. This presents the automobile insurance industry with a significant near-term opportunity. We estimate that the switch to autonomous vehicles will generate at least $81 billion in new insurance revenues in the US between 2020 and 2025. Autonomous vehicles will be owned by original equipment manufacturers (OEMs), over the top players and other providers such as ride-sharing companies, but models designed by Accenture in collaboration with Stevens institute indicate that these decreases will be offset by new insurance product lines. Insurers should be taking action now to change and adapt their business models to convert this opportunity. Read more https://www.accenture.com/us-en/insight-autonomous-vehicles-opportunity-insurers

Insuring Autonomous Vehicles: An $81 Billion Opportunity Between Now and 2025

Accenture Insurance

The rate of adoption for autonomous vehicles can be debated, but there is little doubt that such vehicles will eventually predominate the world’s highways. Automobile insurers should embrace, rather than fear, the future. Our research and modeling conducted in conjunction with Stevens Institute indicates that there will be a significant opportunity for insurers in the near- to mid-term (over the next five to ten years) as the need for cyber insurance and product liability insurance on vehicles outpaces the decrease in individual premium revenues. Taking advantage of this shift will require a major cultural adjustment for auto insurers, as well as close interaction with regulators and other policymakers. However, insurers taking preemptive steps now to convert this opportunity will be in a much better position to succeed as the autonomous vehicle revolution continues and the world shifts, however gradually, to this new mode of transportation.

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Intelligent automation will catapult Indian economy to US $5 trillion dollars in the next five years, up from $2.7 trillion dollars, according to a new study commissioned by Automation Anywhere , a global leader in Robotic Process Automation (RPA.) Today, automation is driving efficiencies for enterprises, resulting in dramatic productivity gains in the back office and enhanced customer experiences in the front office. According to the study conducted by Ernst and Young India (EY,) the country will experience a significant boost to its economy to reach US $5 trillion by as early as 2024. The research, presented today at the IAMAI's India Digital Summit 2020, examined the economic impact of automation and found that large-scale adoption of automation technologies, such as RPA, artificial intelligence, natural language processing and machine learning will drive increased efficiencies and new jobs resulting in economic growth in the next few years.

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2rd Assignment Bank of America Transforms Its Information Technology The Problem After the financial crisis of 2007-2008, Bank of American (BofA: www.bankofamerica.com) executives directed the bank to take measures to eliminate the problems that led to its near-death experience in that crisis. Many of these measures involved BofAls information technology. A Multipart Solution BofA developed a series of strategic goals for its IT function: (1) standardize its IT infrastructure, (2) streamline applications, (3) develop customer-focused innovations, and (4) streamline the physical infrastructure. Bofa's IT organization, called Global Technology and Operations, was directly tasked with achleving the first three goals. (1) IT Infrastructure. In the past, the bank's business flexibility was limited by a huge, global IT architecture that cost billions of dollars per year to operate. For example, the IT department typically allocated separate servers in its data centers for each line of business, such as its mortgage business and its trading applications. To improve efficiency and reduce costs, the bank's first strategic goal was to create a standardized, shared IT infrastructure that all business units could readily access. To accomplish this goal, the bank implemented a software-defined infrastructure (SDI), private cloud (discussed in Technology Guide 3), in which software provides the server, storage, and networking resources to business users as needed. This process is similar to the way cloud service providers offer computing on demand to their customers. The SDI private cloud enabled the bank, which operated 64 data centers in 2008, to plan to operate only eight data centers in 2019. The SDI private cloud enabled the bank to respond more quickly to changing business conditions and to cut costs - as much as 50 percent from the bank's current data center costs. The cloud approach also enabled the bank to perform more computing tasks with less hardware. It also increased the ability of the bank's network, storage, and server capacity to scale up or scale down as business conditions dictate. Essentially, the cloud gives the bank more flexibility and speed to react to changes in the bank's dynamic business environment. The SDI private cloud requires more complex security controls and compliance reporting BofA must be able to prove to auditors that it is securely managing sensitive data, such as bank account numbers and credit card information, in its cloud, In fact, to improve information security and regulatory compliance, the bank is experimenting with tagging or labeling each piece of data so that it can follow the data across its global network, tracking anyone who has had access to it or has made changes to it. (3) Applications. The Bofa has retired more than 18,000 applications, many of them left over from its acquisitions of other companies. For example, the bank spent $100 million to consolidate five Merrill Lynch financial advisor applicat.

2rd Assignment Bank of America Transforms Its Information Technology T.docx

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Cisco has estimated that the Internet of Things (IoT) has the potential to generate about $19 trillion of value over the coming years. The staggering potential size-of-the-prize has certainly caught the attention of the world’s business community. In a recent survey of senior business leaders around the globe, 96% said their companies would be using IoT in some way within the next 3 years. However, there is a catch – most organizations are yet to derive significant commercial value from IoT. Our research shows that 70% of organizations do not generate service revenues from their IoT solutions. We have looked at why organizations are falling short in monetizing the IoT, and have tried to capture some initial observations on monetization models in what is still a very fast-developing marketplace.

Internet of Things- IoT Monetization Models

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H 9B11E026 MICROSOFT’S GO-TO-MARKET STRATEGY FOR AZURE IN INDIA Aditya Shah, Sujata Ramachandran and Vivek Vikram Singh wrote this case under the supervision of Reema Gupta and Professor Deepa Mani solely to provide material for class discussion. The authors do not intend to illustrate either effective or ineffective handling of a managerial situation. The authors may have disguised certain names and other identifying information to protect confidentiality. Richard Ivey School of Business Foundation prohibits any form of reproduction, storage or transmission without its written permission. Reproduction of this material is not covered under authorization by any reproduction rights organization. To order copies or request permission to reproduce materials, contact Ivey Publishing, Richard Ivey School of Business Foundation, The University of Western Ontario, London, Ontario, Canada, N6A 3K7; phone (519) 661-3208; fax (519) 661-3882; e-mail [email protected] Copyright © 2011, Richard Ivey School of Business Foundation Version: 2011-07-19 Vikas Arora, group director of cloud computing for Microsoft India, returned to his office after a long meeting regarding Microsoft India’s entry into the emerging cloud computing market with their platform, Microsoft Azure. It was July 2009, and a successful time for the Indian information technology (IT) industry. The Indian economy had escaped the brunt of the worldwide recession; spending on IT was up and Microsoft India had exhibited strong growth in the past year. The worldwide launch of Azure in the United States, Europe and Japan was scheduled for early 2010. Arora was mulling over the relative merits and demerits of launching Azure in India. While thousands of Indian enterprises were Microsoft customers via the traditional license model, Azure offered computing resources as a service on a pay-per-use model, which meant substantially lower margins for Microsoft. Moreover, the diverse and complex Indian market presented various challenges such as very low awareness about new trends in the IT products sector, low penetration of IT in the small and medium business (SMB) sector and underdeveloped infrastructure (limited Internet reach and limited bandwidth). In view of these challenges, Microsoft India had commissioned Zinnov Management Consulting to conduct focused research1 on IT opportunities in Indian SMBs and on levels and trends in the utilization of IT services in the Indian market (see Exhibits 1 and 2). The report mentioned that the Indian government had taken a number of initiatives for growth of the SMB segment. It also mentioned, “India has 31.8 million SMBs across different verticals. The PC penetration in these verticals or industries is varied. IT spend in SMBs was $6.2 billion in 2007, which was 30 per cent of the total IT spend in India” (see Exhibit 3). Having received the report from Zinnov (see Exhibit 4), Arora was convinced th ...

H 9B11E026 MICROSOFT’S GO-TO-MARKET STRATEG.docx

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Think about Google if it were only collecting a lot of data but never used or shared that data with anyone. That is how the traditional financial service companies are - they have enormous amounts of data but rarely use that data for any tangible purpose. Dormant data with the financial service providers can be used to not only create new applications but revolutionize credit markets, personal finance, business finance, wealth management, etc. in ways we cannot even totally envisage now. Open Banking is a practice where banks provide access to consumer data to non-affiliated third parties generally through Application Programming Interfaces or APIs. Open Banking in the coming years is expected to lead a paradigm shift in Banking and Finance. During the pandemic, the demand side of the equation for Open Banking is rapidly developing with growth in fintech markets and the adoption of digital channels by the consumers. Both banks and tech companies have immense incentives to grab this opportunity and quickly tap the growth in digital markets and channels. Concerns about data security, compliance with privacy laws, and regulatory uncertainties are acting as impediments to the growth of Open Banking. Banks need to act quickly to leverage data to increase their reach and role. Traditional banking is rapidly getting commoditized and banks need to add data-driven value-added services in their portfolio to remain relevant. Value-added services such as personal financial planning, the alternative credit assessment, and real-time payments can not only create new revenue sources for the banks but provide strategic moats in the competitive landscape. Banks can achieve this through strategic partnerships and acquisitions. In-house development is difficult given the cultural shift needed in the banking sector may take time. Apart from that, the IT in the banking sector is generally focussed on regulatory requirements and not data-driven, customer-focused as required for Open Banking initiatives. Policy uncertainty can severely hamper the growth of Open Banking. Policymakers need to balance caution on security-privacy matters but at the same time clear policy confusion to allow the sector to grow. As per the Akamai report, “2020 State of the Internet / Security: Financial Services – Hostile Takeover Attempts”, cyber attackers are increasingly targeting API endpoints of financial services. As per a Gartner report, by 2021, APIs will account for 90% of the attack surface. By 2022, according to Gartner, API abuses will become the most-frequent attack vector. This is a cause of concern for the Banks contemplating opening up data access using APIs.

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