Fintechs

Banks and Virtual Assistants | Are The Banks Following The Fintechs or Staying Behind?

Banks and Virtual Assistants

Banks have been around for centuries, and in that time they’ve seen a lot of change. But in today’s digital age, the stakes are higher than ever before.

Banks need to adapt or they’ll find themselves outpaced by fintech companies who can offer innovative products and services quickly and efficiently. fortunately, banks are embracing digital change with the help of fintech companies.

Here’s how they’re doing it.

AI and Virtual Assistants

According to IoT analytics, by 2025 the world will see around 27 billion connected devices. As such, more and more consumers are looking for convenience – which means it’s vital for banks to be able to provide this type of service if they want to stay ahead of the competition. Nowhere is this need more apparent than with automated assistants, or virtual assistants.

However before we proceed to look at how banks are using virtual assistants, let us first look at the very clear concerns that exist with the mass adoption of A.I.

One of the biggest drawbacks of using AI for banks is that it can lead to biased decision-making. For example, if a bank uses AI to decide whether or not to approve a loan, the algorithm may be biased against certain demographics, such as women or minorities.

Another drawback of using AI for banks is that it can be expensive. Banks need to invest in the technology and staff who can maintain and operate it. Additionally, banks need to ensure that their data is secure and protected from hackers.

There’s always the risk that AI will make mistakes. If an AI system makes a bad decision, it could cost the bank money or even cause it to lose customers.

Finally, the biggest drawback or at least a talking point, for now, is the impact of AI on the human workforce. If banks and other businesses adopt AI-based workflows, this will lead to a significant reduction in the human workforce, leading to unemployment. While this has always been a clear concern related to automation, it has not been able to impede the speed at which AI is “taking over”.

What is a Virtual Assistant?

A virtual assistant is an artificial intelligence-based software program that performs tasks or services for a user. Virtual assistants can be used for a variety of purposes, such as scheduling appointments, managing to-do lists, and providing customer service.

Virtual Assistants are cost-effective?

The number of mergers and acquisitions of banks and fintechs has gone up in the last few years. Banks have now come to a full realization that they can no longer overlook the fintech revolution because it is directly impacting their business.

As a result, many banks are acquiring fintech firms and incorporating their products and services to manage both back and front end activities. Some banks are taking matters into their own hand by diversifying into the fintech sector by developing in-house solutions.

Whatever the case, fintech is taking over the banking industry. One of the first use cases that we saw of fintech in banking is the widespread use of virtual assistants.

Banks are saving money with virtual assistants by automating processes that would otherwise require human employees. For example, a virtual assistant can be used to answer customer inquiries, which can reduce the need for bank employees to handle customer service calls. Virtual assistants can also be used to monitor account balances and transactions, which can help banks prevent fraud.

How are banks using virtual assistants?

Banks can use virtual assistants in a number of ways, but most often they provide them to customers as:

  • A personal assistant for banking and financial needs (such as paying bills and checking account balances)
  • An advisor that provides personalized insights into the user’s finances (for instance, suggestions as to where a user can save money)
  • A concierge for completing tasks the bank doesn’t normally handle (for instance, booking travel or managing car loans)

With these services readily available to their customers, banks are able to stay competitive without sacrificing convenience.

Uses Cases of Virtual Assistants

Fintech companies like Kasisto, for example, take advantage of advances in artificial intelligence (AI) to create virtual assistants that can communicate directly with customers. One such assistant is KAI, an intelligent assistant that uses natural language processing and machine learning to answer questions about banking and personal finance issues. The data collected by KAI is then anonymized and provided to banks so that they can improve their products.

Analysts predict that virtual assistants will become even more popular in the future. We are already seeing them everywhere, including on the web, at home, in cars, and on phones in the form of Siri and Alexa.

Another example is Ally Bank. The bank has developed Ally Assist, which is a text and voice-based AI assistant for their mobile banking application. Ally Assist can be used to answer customer inquiries such as information requests, payments, deposits and transfers. Ally Assist uses machine learning to learn from its users and then it builds upon its data to anticipate user needs.

Bank of America has a number of AI applications that it uses for a variety of purposes. These include fraud detection, providing customer service, and increasing efficiency. The bank also uses IBM’s Watson to provide customer service agents with an intuition engine, which helps them better understand and react to customers’ needs.

Erica is an artificial intelligence-powered customer service representative for Bank of America. It can answer customer questions and help them with their banking needs.

With all of this said, one thing is clear: banks are quickly adapting in order to keep up with competition from fintech companies. Virtual assistants are one way and as things progress, we may see banks changing their form altogether in the future.

Banks and Virtual Assistants

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Asia-Pacific Artificial Intelligence (AI) Chipsets Market 2024-2031: Identify and Capitalize on the Countries Showcasing the Highest Growth Potential

2024-09-18T08:30:44Z

Dublin, Sept. 18, 2024 (GLOBE NEWSWIRE) -- The "Asia-Pacific Artificial Intelligence (AI) Chipsets Market Size, Share & Trends Analysis, 2024-2031" report has been added to ResearchAndMarkets.com's offering.

The Asia Pacific Artificial Intelligence (AI) Chipsets Market should witness market growth of 30.3% CAGR during the forecast period, 2024-2031.

The China market dominated the Asia Pacific Artificial Intelligence (AI) Chipsets Market by country in 2023, and should continue to be a dominant market till 2031; thereby, achieving a market value of $21.51 billion by 2031. The Japanese market is registering a CAGR of 29.7% during 2024-2031. Additionally, the Indian market should showcase a CAGR of 31.2% during 2024-2031.

The adoption of AI chipsets is rapidly increasing across various industries and sectors due to their ability to accelerate AI tasks, enhance performance, and enable intelligent applications. Businesses increasingly leverage AI-driven solutions to gain insights from data, automate processes, improve decision-making, and enhance customer experiences. AI chipsets facilitate the execution of complex AI algorithms and machine learning models, driving applications like NLP, computer vision, predictive analytics, and autonomous systems.

Moreover, the continuous advancements in AI algorithms, deep learning models, and neural network architectures drive the need for high-performance hardware solutions capable of handling massive datasets and complex computations. AI chipsets provide the computational power and efficiency to effectively train and deploy AI models. The proliferation of edge computing architectures, wherein AI processing tasks are performed locally on edge devices, drives the adoption of AI chipsets with edge computing capabilities.

The fintech industry in India has experienced rapid growth driven by increasing smartphone penetration, digital payment adoption, and government initiatives promoting financial inclusion. The Fintech business in India is expanding at one of the quickest rates in the world, according to the National Investment Promotion and Facilitation Agency. The market for fintech in India is expected to reach $150 billion by 2025, from $50 billion in 2021. By 2030, the fintech business is expected to generate $2.1 trillion in opportunity. In 2022, fintech startups in India raised $5.65 billion. Between 2021 and 2022, the number of distinct institutional investors in Indian fintech nearly doubled, from 535 to 1019, respectively.

Additionally, as businesses and government agencies in Australia invest in AI technologies to drive innovation and efficiency, there is a growing demand for AI chipsets to power AI-driven applications and services. According to the Australian Government, digital innovations, including AI, could contribute $315 billion to Australia's GDP by 2030. Australian spending on AI systems will grow to over $3.6 billion by 2025, at a compounding annual growth rate of 24.4% between 2020 and 2025. Therefore, the rising fintech industry and increasing expenditure on AI technology in the region drive the market's growth.

List of Key Companies Profiled

  • Intel Corporation
  • NVIDIA Corporation
  • IBM Corporation
  • Micron Technology, Inc.
  • Qualcomm Incorporated (Qualcomm Technologies, Inc.)
  • Samsung Electronics Co. Ltd. (Samsung Group)
  • Apple, Inc.
  • Huawei Technologies Co. Ltd. (Huawei Investment & Holding Co. Ltd.)
  • Texas Instruments, Inc.
  • NXP Semiconductors N.V.

Market Segmentation

By Computing Technology

  • Cloud Computing
  • Edge Computing

By Function

  • Inference
  • Training

By Chipset Type

  • GPU
  • CPU
  • FPGA
  • ASIC
  • Others

By Vertical

  • Consumer Electronics
  • Automotive
  • Healthcare
  • Manufacturing
  • Retail & E-Commerce
  • BFSI
  • Marketing
  • Others

By Country

  • China
  • Japan
  • India
  • South Korea
  • Taiwan
  • Malaysia
  • Rest of Asia Pacific

For more information about this report visit https://www.researchandmarkets.com/r/9spj10

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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