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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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Costanoa Ventures Closes Oversubscribed Early-Stage Fund, Expands Investments in AI-Enabled B2B Tech

2024-09-18T14:11:37Z

Firm surpasses $2 billion in total assets under management as it targets AI-enabled SaaS, AI & Data Infrastructure, Cybersecurity, Fintech and Defense Tech sectors with promotion of new general partner

SAN FRANCISCO, Sept. 18, 2024 (GLOBE NEWSWIRE) -- Costanoa Ventures, a boutique early-stage venture capital firm, today announced the successful close of two new funds: Costanoa Fund V, a $275 million early-stage fund, and Opportunity Fund III, a $119 million fund for investing in later rounds of its early-stage winners. With these additions, the firm’s total assets under management now exceed $2 billion.

Costanoa invests as early as Day One in Seed and Series A startups in high-growth sectors across AI-enabled SaaS, Cyber- and National Security and Fintech. In recent years, the firm has doubled down on critical sectors that lay the foundation to grow and scale AI’s use in business.

"Our goal has always been to be the best possible partner to incredible founders building extraordinary companies that can solve big problems,” noted Greg Sands, Costanoa's founder and managing partner. “The huge leaps forward we're now seeing in AI make this a tremendous time to be an early-stage investor.”

In Fund V, Costanoa has continued to expand its focus on Cybersecurity and Defense Tech. Costanoa also announced that John Cowgill has been promoted as its newest General Partner. Cowgill has built Costanoa’s cybersecurity and space practices and has led investments in category standouts like AppOmni, Cyberhaven, Muon Space and Kepler Communications.

“Costanoa is building the most founder-aligned early stage venture firm in the industry. I couldn’t be more excited for the extraordinary companies we’ve partnered with and the amount of innovation that still lies ahead,” said Cowgill.

One of the firm’s standout investments in Defense Tech is Vannevar Labs, founded by two Stanford GSB students and incubated in Costanoa’s Palo Alto office in 2019. Vannevar has since emerged as a leader in providing state-of-the-art technology for the defense industry. Other investments in the sector include Cape, Auterion, Kepler Communications and Muon Space, among others.

“Costanoa has been part of our team through all the highs and lows and every phase of company building,” said Nini Hamrick, President and Co-Founder of Vannevar Labs. “The Costanoa team feels like an extension of our team at this point, with a very different level of engagement than we see from other investors that is hyper specific to this early stage of company building. They are also just really great people who want to have a really big impact on the world, and we can't imagine building Vannevar without them."

Costanoa sets itself apart by building a highly concentrated portfolio focused on outstanding technical founders, where it can add real value with the world-class expertise of its BuilderOps Team. They provide the hands-on support these teams need in go-to-market strategy, company building and talent recruitment. With a boutique approach, Costanoa offers a tailored, high-touch approach that early-stage founders need and value.

For more information about Costanoa and its portfolio companies, please visit https://costanoa.vc/.

About Costanoa Ventures:
Founded in 2012, Costanoa Ventures partners with builders as early as company formation, with a focus on apps and infrastructure in data, dev, security and fintech. Costanoa is a long-term, boutique partner to entrepreneurs from the earliest stages of company building with expertise from its BuilderOps team. For more information, please visit www.costanoa.vc.

CONTACT: Media Contact For Costanoa Ventures:
Angela Petersen
SamsonPR
Costanoa@samsonpr.com

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