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How Conversational AI is Transforming the Customer Experience – ReadWrite

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Deanna Ritchie


A lot of people are talking to computers. They just don’t know it.

After digging into some research, one Forbes author concluded that up to 84% of consumers had been helped by machines. Yet around half had no idea they weren’t speaking with humans. How is this kind of relationship possible? You can thank the ubiquitousness of artificial intelligence (AI).

AI — Helping Professionals Get Work Done

Though AI has gotten quite a bit of press in recent years, it isn’t as new as you might think. Harvard University reporting places the beginnings of AI squarely in the middle of the 20th century. However, as a piece from The New York Times notes, it’s taken until now for AI to become mainstream. Quite honestly, AI’s integrated into nearly everything we do, right down to turning off lights before bedtime via connected devices.

What makes AI so enticing? Above all else, it’s a way to achieve tremendous efficiency while reducing errors. That’s why many executives are open to incorporating AI into all departments, such as people-heavy HR. Let’s face it: AI-powered software, programs, and solutions don’t get tired. They don’t need breaks or PTO. They don’t quit, either. Instead, they keep performing their algorithms and, in the case of machine learning, get smarter.

Consequently, AI’s been tapped to improve a multitude of business goals, especially the goal of improved, exceptional customer experiences.

Conversational AI — A Boon to Customer Relations

It’s no surprise that many corporations struggle to find the right customer service balance. Trying to meet consumer demand for immediate (and accurate) help can be challenging. Moreover, customers are notoriously fickle when it comes to service expectations, especially after the pandemic of 2020. During Covid, many grew increasingly brand-agnostic, leaving them less likely to hand over loyalty. Yet, organizations aren’t always equipped with the people power to satisfy customers’ expectations.

This is where AI, and especially conversational AI, can lend a helpful hand. Companies across the world are leveraging conversational AI to lift up their customer experience operations.

What is conversational AI? It’s any programming that allows machines to interface with humans in a language-based context. For instance, chatbots are a prime example of conversational AI because they fuel a comfortable person-to-software interchange. In other words, they feel and sound natural, right down to the pauses between responses.

Conversational AI has many applications within the context of customer relations management. Below are just some of the ways that it’s paving the way for improved connections between buyers and brands.

1. Improves customer self-service.

According to Kate Leggett, vice president, and principal analyst at Forrester, people like to feel empowered. This desire spills over into their customer service experiences—and becomes a reason for organizations to try self-service. “Self-service delivers personalized engagement, increases customer satisfaction, and reduces operational costs by deflecting common customer inquiries,” says Legett.

How can you be sure that your self-service mediums don’t feel clunky or robotic, though? Choose a conversational AI system that effectively leverages machine learning and natural language processing to offer a seamless user experience.

Contact center solution, Five9’s Ellen DePodesta explains how advanced Conversational AI systems, such as Intelligent Virtual Agents, set the stage for exceptional self-service. According to Depodesta, “Virtual agents improve outcomes by quickly moving customers through the process to identify and resolve the reason for their call.” She adds that with the proper conversational AI programming in place, customers can enjoy fewer friction points, improving their overall experience.

Bottom line? Giving customers choices about how to resolve issues (with a bit of help from AI) helps them feel more in control. Additionally, it takes the burden off customer service employees to deal with matters that are easily fixed. In the end, all stakeholders end up happier.

2. Levels the playing field.

You can be sure that giants like Amazon use AI throughout the shopping and fulfillment experience. Nevertheless, conversational AI isn’t limited to the “big players.” Any organization can try AI.

With many conversational AI providers on the scene, nearly any business—including startups—can experiment with adding AI to their sales and support toolkit. Yes, larger businesses may be able to afford enterprise-level systems. Still, more minor, emerging technologies are competitively priced to remove barriers of entry into the conversational AI marketplace.

This gives a serious advantage to startups with great ideas and limited capital seeking good conversations with customers. Being able to invest in affordable conversational AI software allows them to appear larger. Plus, it gives companies the opportunity to serve up exceptional customer results without padding the payroll.

3. Acts in an assistive capacity.

Though CNBC concludes around 27% of young workers fear AI will take over their jobs, AI isn’t an either/or proposition. In fact, conversational AI software can serve alongside human customer service representatives. This allows agents to conduct work faster and gain an edge over the competition.

Consider a customer service agent taking a live call. During the exchange, a conversational AI program could transcribe the dialogue in real-time. Consequently, what the caller says could be analyzed by the AI software for immediate action.

As an example, pretend a customer tells the agent that she wants to know the business’s refund policy. The AI software could then fetch information about refunds, so the agent doesn’t have to move from screen to screen. Instead, the answer is right in front of the agent. Shaving off even one or two minutes from calls leaves agents able to help more people.

Conversational AI — The Future of Customer Engagement

Every year, businesses are finding more ways to integrate conversational AI into their best practices. Even now, researchers have experimented with technology that can transform conversational AI bots into virtual faces. In other words, the bots start to take on visual attributes that make them seem more normalized and lifelike. The hope is that this anthropomorphism of conversational AI solutions enables even stronger customer and brand interplays.

There’s no doubt that conversational AI has already moved the customer experience forward. As it continues to evolve, companies and their buyers will become the beneficiaries of this emerging technology. No one can tell exactly how far conversational AI will go, of course. Nonetheless, it’s bound to become a primary differentiator between companies.

Image Credit: shvets production; pexels; thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

Politics

Fintech Kennek raises $12.5M seed round to digitize lending

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Google eyed for $2 billion Anthropic deal after major Amazon play


London-based fintech startup Kennek has raised $12.5 million in seed funding to expand its lending operating system.

According to an Oct. 10 tech.eu report, the round was led by HV Capital and included participation from Dutch Founders Fund, AlbionVC, FFVC, Plug & Play Ventures, and Syndicate One. Kennek offers software-as-a-service tools to help non-bank lenders streamline their operations using open banking, open finance, and payments.

The platform aims to automate time-consuming manual tasks and consolidate fragmented data to simplify lending. Xavier De Pauw, founder of Kennek said:

“Until kennek, lenders had to devote countless hours to menial operational tasks and deal with jumbled and hard-coded data – which makes every other part of lending a headache. As former lenders ourselves, we lived and breathed these frustrations, and built kennek to make them a thing of the past.”

The company said the latest funding round was oversubscribed and closed quickly despite the challenging fundraising environment. The new capital will be used to expand Kennek’s engineering team and strengthen its market position in the UK while exploring expansion into other European markets. Barbod Namini, Partner at lead investor HV Capital, commented on the investment:

“Kennek has developed an ambitious and genuinely unique proposition which we think can be the foundation of the entire alternative lending space. […] It is a complicated market and a solution that brings together all information and stakeholders onto a single platform is highly compelling for both lenders & the ecosystem as a whole.”

The fintech lending space has grown rapidly in recent years, but many lenders still rely on legacy systems and manual processes that limit efficiency and scalability. Kennek aims to leverage open banking and data integration to provide lenders with a more streamlined, automated lending experience.

The seed funding will allow the London-based startup to continue developing its platform and expanding its team to meet demand from non-bank lenders looking to digitize operations. Kennek’s focus on the UK and Europe also comes amid rising adoption of open banking and open finance in the regions.

Featured Image Credit: Photo from Kennek.io; Thank you!

Radek Zielinski

Radek Zielinski is an experienced technology and financial journalist with a passion for cybersecurity and futurology.

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Politics

Fortune 500’s race for generative AI breakthroughs

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Deanna Ritchie


As excitement around generative AI grows, Fortune 500 companies, including Goldman Sachs, are carefully examining the possible applications of this technology. A recent survey of U.S. executives indicated that 60% believe generative AI will substantially impact their businesses in the long term. However, they anticipate a one to two-year timeframe before implementing their initial solutions. This optimism stems from the potential of generative AI to revolutionize various aspects of businesses, from enhancing customer experiences to optimizing internal processes. In the short term, companies will likely focus on pilot projects and experimentation, gradually integrating generative AI into their operations as they witness its positive influence on efficiency and profitability.

Goldman Sachs’ Cautious Approach to Implementing Generative AI

In a recent interview, Goldman Sachs CIO Marco Argenti revealed that the firm has not yet implemented any generative AI use cases. Instead, the company focuses on experimentation and setting high standards before adopting the technology. Argenti recognized the desire for outcomes in areas like developer and operational efficiency but emphasized ensuring precision before putting experimental AI use cases into production.

According to Argenti, striking the right balance between driving innovation and maintaining accuracy is crucial for successfully integrating generative AI within the firm. Goldman Sachs intends to continue exploring this emerging technology’s potential benefits and applications while diligently assessing risks to ensure it meets the company’s stringent quality standards.

One possible application for Goldman Sachs is in software development, where the company has observed a 20-40% productivity increase during its trials. The goal is for 1,000 developers to utilize generative AI tools by year’s end. However, Argenti emphasized that a well-defined expectation of return on investment is necessary before fully integrating generative AI into production.

To achieve this, the company plans to implement a systematic and strategic approach to adopting generative AI, ensuring that it complements and enhances the skills of its developers. Additionally, Goldman Sachs intends to evaluate the long-term impact of generative AI on their software development processes and the overall quality of the applications being developed.

Goldman Sachs’ approach to AI implementation goes beyond merely executing models. The firm has created a platform encompassing technical, legal, and compliance assessments to filter out improper content and keep track of all interactions. This comprehensive system ensures seamless integration of artificial intelligence in operations while adhering to regulatory standards and maintaining client confidentiality. Moreover, the platform continuously improves and adapts its algorithms, allowing Goldman Sachs to stay at the forefront of technology and offer its clients the most efficient and secure services.

Featured Image Credit: Photo by Google DeepMind; Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

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Politics

UK seizes web3 opportunity simplifying crypto regulations

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Deanna Ritchie


As Web3 companies increasingly consider leaving the United States due to regulatory ambiguity, the United Kingdom must simplify its cryptocurrency regulations to attract these businesses. The conservative think tank Policy Exchange recently released a report detailing ten suggestions for improving Web3 regulation in the country. Among the recommendations are reducing liability for token holders in decentralized autonomous organizations (DAOs) and encouraging the Financial Conduct Authority (FCA) to adopt alternative Know Your Customer (KYC) methodologies, such as digital identities and blockchain analytics tools. These suggestions aim to position the UK as a hub for Web3 innovation and attract blockchain-based businesses looking for a more conducive regulatory environment.

Streamlining Cryptocurrency Regulations for Innovation

To make it easier for emerging Web3 companies to navigate existing legal frameworks and contribute to the UK’s digital economy growth, the government must streamline cryptocurrency regulations and adopt forward-looking approaches. By making the regulatory landscape clear and straightforward, the UK can create an environment that fosters innovation, growth, and competitiveness in the global fintech industry.

The Policy Exchange report also recommends not weakening self-hosted wallets or treating proof-of-stake (PoS) services as financial services. This approach aims to protect the fundamental principles of decentralization and user autonomy while strongly emphasizing security and regulatory compliance. By doing so, the UK can nurture an environment that encourages innovation and the continued growth of blockchain technology.

Despite recent strict measures by UK authorities, such as His Majesty’s Treasury and the FCA, toward the digital assets sector, the proposed changes in the Policy Exchange report strive to make the UK a more attractive location for Web3 enterprises. By adopting these suggestions, the UK can demonstrate its commitment to fostering innovation in the rapidly evolving blockchain and cryptocurrency industries while ensuring a robust and transparent regulatory environment.

The ongoing uncertainty surrounding cryptocurrency regulations in various countries has prompted Web3 companies to explore alternative jurisdictions with more precise legal frameworks. As the United States grapples with regulatory ambiguity, the United Kingdom can position itself as a hub for Web3 innovation by simplifying and streamlining its cryptocurrency regulations.

Featured Image Credit: Photo by Jonathan Borba; Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

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