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AI Powers the Next Generation of Personalized Digital Marketing

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AI Powers the Next Generation of Personalized Digital Marketing


Companies worldwide already use AI-powered predictive analytics to anticipate behaviors and onboard and retain customers. By all accounts, investment in AI is paying off.

Research by NewVantage Partners shows that 91% of surveyed companies in 2022 were increasing investments in artificial intelligence, and 92% report measurable ROI. So the use of AI is quickly taking over as the future of digital marketing and for good reason.

McKinsey research finds that 76% of customers today get frustrated when they don’t receive a personalized experience with a brand, and that’s a key factor in their decision-making.

The problem? Personalization at scale is a true challenge. It’s nearly impossible without the right technology. With privacy-focused regulations raising the cost of advertising in recent years, organizations have less access to the third-party data they rely on to make demographic or intent-based recommendations to their customers.

The solution? Artificial intelligence — specifically, using AI to identify, optimize and personalize based on first-party behavior data.

AI can fuel personalization in digital marketing in a way that technology never could before. By applying it to your marketing strategies and integrating it into your tech stack, you can harness its potential to maximize ROI across all channels.

How AI Improves Customer Experience

For marketers, personalization is not just about targeted messaging — it’s about a hyper-personal understanding of your audience. Today’s customers expect to be delighted before and after their purchases with a consistent experience across all channels (digital and in-store).

With AI, you can quickly transfer personalization from one channel to another.

If you’re using AI to personalize your newsletters, for example, you can use that same learning to enhance your chatbot.

An AI-powered optimization platform is the only way to personalize every interaction across the entire customer journey down to the individual level.

Today’s consumers expect a personal connection with the companies they patronize and buy from.

Whether it’s through the web, email, or advertising — personalized engagement matters to customers.

Most customers are willing to share their data for a product or service they truly value. AI can scale the number of experiences you can test into the millions, automatically serving each user with the best, most personalized experience across their entire journey.

AI Is the Future of Digital Marketing

In marketing especially, AI is the best way to automate and scale experiences that meet the high standards of today’s consumers. The right tech can help exponentially scale content and allow for more intelligent decision-making across the customer journey, which is why adopting AI is so critical.

Here are four significant ways that AI is blazing the trail for the future of digital marketing:

1. Big Data Analytics

Only AI algorithms can quickly analyze exponentially large amounts of data and accurately act upon it in real-time. What this means for leaders is that AI can do a lot more work than you expect, enabling you to focus more time on higher-level tasks. As a result, AI could relieve those repetitive, tedious (but still necessary) chores.

2. Decreased Learning Costs

AI-based optimization solutions analyze data across all channels, automatically minimize traffic to underperforming experiences, and increase traffic with ideas that are currently excelling. This means that AI drives the cost of testing and learning to its lowest potential. This decrease in understanding cost further allows organizations to spend time on what’s working instead of what isn’t and customize reactive, impactful, and effective personalization.

3. Reduce Customer Churn

In the service of customer retention, today’s leading brands are adding proactive service recovery (PSR) to their CX programs. PSR is an umbrella term for actions that aim to turn less-than-stellar customer experiences into excellent ones in as close to real-time as possible.

For example, when a telecom company detects that a customer visiting the accessory page isn’t progressing further down the funnel (or toward their cart), they can add visual callouts to popular compatible items or even offer help by chat or phone.

Both chat and phone interactions can be powered by conversational AI and provide a deeper level of personalized experience to your customer’s journey where it’s needed most.

4. Hyper-Personalized Experiences

Brands who leverage AI optimization solutions have a significant advantage: They can deliver incredible experiences from any external channel, all the way to checkout and thank you pages.

This feat is accomplished by personalizing digital experiences across the entire customer journey, which would be a Herculean effort without AI assistance. With intelligent tech in your back pocket, personalized content is easy.

The Future of AI is Now

With intelligent tech like AI, employees can be more productive and create better results in shorter time frames with less of a strain on their workload. They can also create more complex, satisfying customer experiences.

While AI excels at crunching huge amounts of data, finding patterns, and making predictions, it would be far less effective without the humans who use it. Humans bring their own unique talents to the table, after all, such as creativity and flexibility — not to mention common sense.

As we find more uses for this incredible tech, AI will likely augment current staff and open new opportunities for them and your business.

Artificial intelligence is already starting to help form stronger bonds than ever between customers and brands. Stronger bonds mean happier customers — which means better business. AI is the future; don’t miss out on your chance to capitalize on its unique capabilities before your competitors do. Your customers are counting on you.

Featured Image Credit: Provided by the Author; Photo by Carl Heyerdahl; Unsplash; Thank you!

Michael Scharff

CEO and Co-Founder of Evolv.AI

Michael Scharff is CEO and co-founder at Evolv AI, which enables brands to continuously find better ways to connect with their customers using artificial intelligence and machine learning.

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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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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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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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