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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PersonalAIze and Cube Forge Groundbreaking Partnership to Accelerate AI-Driven Healthcare Platform and Point of Care Diagnostics

2024-09-19T13:00:00Z

Strategic partnership aims to further develop Cube’s award-winning AI guided platform for Software as a Service (SaaS) for the private sector and large healthcare systems and diagnostic to support clinicians and patients in making informed therapeutic decisions from early detection to personalized treatment and disease monitoring, for improved health outcomes

AMSTERDAM, Sept. 19, 2024 (GLOBE NEWSWIRE) -- (NASDAQ: RENB) PersonalAIze and RenovaroCube are proud to announce a strategic partnership to develop, validate, and commercialize Cube’s AI-driven, multi-omic platform for early detection of cancer and other diseases. This strategic partnership aims to provide services to many AI companies and healthcare systems while also creating the next generation of medical diagnostics through cutting-edge AI by driving greater accuracy, transparency, and trust in healthcare solutions.

Prof. Mark Hoogendoorn, Co-CEO and Co-Founder PersonalAIze: "The strategic partnership between PersonalAIze and Cube has the potential to provide a transformative leap in healthcare diagnostics, uniting cutting-edge AI with trusted, high-performance capabilities and industry related in-depth expertise.”

Frank van Asch, Founder and CTO of RenovaroCube,” Together, we are pioneering a future where healthcare outcomes are improved by training models for multiple decisions through the entire health journey, ensuring the right accuracy for therapeutic decisions in every disease stage.”

The first phase of the collaboration focuses on establishing a strong foundation for the partnership, with PersonalAIze providing critical expertise in the integration of AI into healthcare. It will enhance existing collaborations with Academic and corporate partners and create new ones to build an eco-system to help develop and bring to the market a cutting-edge SaaS model and the next generation highly accurate diagnostics, starting with cancer.

Prof Sandjai Buhlai, Co-CEO and Co-Founder PersonalAIze: “This collaboration signals a bold step forward in utilizing the full potential of AI potentially to help revolutionize early-stage medical interventions and diagnosis at the earliest stage of cancer before imaging has been able to detect the tumors.”

Key contributions from PersonalAIze include:

  • Ethical AI: Ensuring the AI models are free from harmful biases and trained to support fairness and inclusivity in medical diagnostics.
  • Legal Guidance: Providing expert advice on legal responsibilities tied to AI outputs, including issues of AI accountability and potential liability.
  • Regulatory Compliance: Assisting in navigating existing and emerging regulations such as NEN, ISO, GDPR, and the AI Act, ensuring the platform adheres to all relevant healthcare regulations and clinical guidelines.
  • Medical and Diagnostic Input: Offering support in clinical validation in collaboration with medical scientists to ensure the AI is reliable and effective in real-world medical environments.
  • Explainable AI: Developing AI models that are transparent, fostering trust and confidence from both healthcare providers and patients.

Key Resources and Support from PersonalAIze
As part of the collaboration, PersonalAIze will contribute:

  • Expert Personnel: Including a Principal Investigator (PI) to lead clinical AI efforts, a project manager to coordinate the collaboration and a strategic advisor to oversee the scientific strategy and execution.
  • Research and Talent Capacity: Leveraging academic partnerships to ensure access to cutting-edge research and innovation and facilitating talent scouting to support the project’s development.
  • Academic Spin-Out Opportunities: Supporting the commercialization of academic research through potential spin-out ventures related to AI diagnostics.
  • Co-Development of AI Platform: Jointly developing a science-driven, evidence-based AI platform that meets rigorous clinical and regulatory standards.
  • Ongoing Research and Publications: Contributing to the body of research through support with peer-reviewed publications in collaboration with clinical experts that will help build trust within the medical community and among regulatory bodies.
  • Architecture and Strategy Guidance: Continuously advising on the platform’s architecture and strategic direction, ensuring it stays aligned with the latest industry trends and scientific advancements.
  • Trusted AI: Developing a trustworthy, explainable AI platform that inspires confidence among healthcare providers and patients through clear and transparent decision-making processes.

About PersonalAIze
PersonalAIze focuses on building solutions that improve healthcare by leveraging state-of-the-art AI techniques. It has been founded by four experienced professors bringing together decades of research experience in AI and healthcare with the aim to bring the latest scientific AI developments into healthcare practice faster. PersonalAIze does this through both consultancy and product development and targets clinical decision-making systems as well as improvement of health care operations such as capacity planning.

About Renovaro
Renovaro aims to accelerate precision and personalized medicine for longevity powered by mutually reinforcing AI and biotechnology platforms for early diagnosis, better-targeted treatments, and drug discovery. Renovaro Inc. includes RenovaroBio with its advanced cell-gene immunotherapy company and RenovaroCube.

RenovaroCube has developed an award-winning AI platform that is committed to the early detection of cancer and its recurrence and monitoring subsequent treatments. RenovaroCube intervenes at a stage where potential therapy can be most effective. RenovaroCube is a molecular data science company with a background in FinTech and a 12-year history. It brings together proprietary artificial intelligence (AI) technology, multi-omics, multi-modal data, and the expertise of a carefully selected multidisciplinary team to radically accelerate precision medicine and enable breakthrough changes in disease agnostic decision support.

Forward-Looking Statements
Statements in this press release that are not strictly historical in nature are forward-looking statements. These statements are only predictions based on current information and expectations and involve a number of risks and uncertainties, including but not limited to the success or efficacy of our pipeline, platform and fundraising. All statements other than historical facts are forward-looking statements, which can be identified by the use of forward-looking terminology such as “believes,” “plans,” “expects,” “aims,” “intends,” “potential,” or similar expressions. Actual events or results may differ materially from those projected in any of such statements due to various uncertainties, including as set forth in Renovaro’s most recent Annual Report on Form 10-K filed with the SEC. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date hereof. All forward-looking statements are qualified in their entirety by this cautionary statement, and Renovaro Inc. undertakes no obligation to revise or update this press release to reflect events or circumstances after the date hereof.

For media inquiries, please contact: karen@renovarocube.com

Source: Renovaro Inc.


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