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Artificial Intelligence: Its Advantages in Digital Marketing

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Deanna Ritchie


Artificial intelligence is all about making intelligent machines that can carry out cognitive activities. Once those machines have access to enough data to recognize patterns and trends, their capacity to think like humans will continue to advance. Moreover, artificial intelligence, data, and analytics play a significant role in digital marketing.

As a result, any online endeavor must be able to extract the proper insights from data to succeed. Therefore, it makes sense to assume that AI will be essential to digital marketing. This is especially true given the enormous growth in data and its sources that digital marketers need to learn more about.

Experts expect the volume of data gathered across these newer customer touchpoints to become unmanageably large. This will happen in the coming years as businesses continue to add more. As a result, artificial intelligence (AI) is now more critical than ever for digital marketing. The following are a few reasons AI tools and technology can access enormous amounts of inaccessible data. AI can then transform that data into useful insights that influence immediate decisions.

AI-Driven Content Marketing

Content-based marketing has become the standard advertising method across a wide range of various industries. This is thanks to the growth of social media marketing and consumers’ growing desire for online content.

Here, artificial intelligence can aid your marketing efforts interest by assisting you in determining the kinds of content that interest your current and potential clients. It can also choose the most effective ways to reach them.

In addition, finding techniques for making advertisements that inspire people to discuss and spread the word to their friends has long been a goal of advertising creatives. Now, you can use various AI-powered solutions to accomplish this effectively. For example, you can use algorithms for creating headlines. You can track their performance and adjust their output to obtain better metrics. These metrics include the open rate for emails or the sharing rate for posts on social media.

By creating material and visuals that it anticipates will be well-received by its target, AI is becoming more and more capable of handling the entire content development process itself. In addition, personalization offers individual clients material uniquely tailored to them. It does this by using data and reference points that AI “understands” are important to them. Understandably, personalization is a big buzzword in this industry.

AI is also becoming more helpful in determining a customer’s stage in the purchasing process. It can provide content to set your service or product apart from rivals. This happens when it notices that the user is “shopping around” and comparing the various products and services. When it detects that a customer prepares to buy, it might send them time-sensitive advertisements. These ads urge them to “act immediately” to take full advantage of a limited offer.

Real-Time Tracking

Platforms with AI integration enable users to learn more about the effectiveness of their content in real-time. That implies that people utilizing digital marketing for their companies can immediately see the outcomes and adjust their next strategy.

A digital marketer can simultaneously see the results analytics of many postings with different content. They can then tabulate their results and evaluate, examine, and compare them. Users may then promote the most effective material for their customers while identifying the least effective content, saving time and money.

Dynamic Pricing

Offering discounts is a sure way to boost sales. However, some clients may still buy with a minimal or zero discount.

To increase sales and profitability, AI can dynamically set product prices. It does this based on criteria such as demand, supply, client, and profiles. A graph for each product will demonstrate how the price changes in response to the season, consumer demand, and other elements.

Frequent travelers have experienced a fantastic example of dynamic pricing in action. For example, they look to book a flight and then return to buy it a few days later…only to discover that the price has increased by a few hundred bucks.

Better Security

The biometric authentication system that employs AI technology is among the most secure mechanisms for gathering and transferring data. It has also boosted the effectiveness of the sharing process along the way.

Massive amounts of data are now transmitted considerably more securely, which previously appeared unachievable. Furthermore, modern data collection and dissemination have also increased the simplicity of evaluating vast amounts of data. This has resulted in enhanced insights and faster decision-making.

Since data is at the core of customers’ customized experiences, a mechanism like biometric authentication has now assisted organizations in safeguarding customer data much more securely. AI technology goes a long way in maintaining the relevance and validity of digital marketing data.

Customer Service Chatbots

Customers now frequently use messaging applications such as Facebook Messenger and WhatsApp to communicate with firms. However, maintaining active customer care workers on these platforms can be expensive.

Some businesses are already adopting chatbots to deal with frequent customer inquiries. Chatbots provide instant responses at any moment to decrease workload and give customers a quicker response. In addition, users can train chatbots to offer predetermined answers to frequently requested queries. They can also forward inquiries that are too complex for a human operator.

In other words, you cut down on customer service time. In addition, you lighten the burden, freeing the agents to handle issues requiring a more personal response.

People are becoming more accustomed to chatbots thanks to virtual assistants such as Siri, Google Assistant, Alexa, or Cortana. In some situations, they even prefer them to actual people. Recently, AI word recognition algorithms have made incredible strides. This has opened the door for machines to take the job of human sales and customer support representatives.

In addition to being more affordable than adding additional team members, chatbots can handle customer concerns more quickly and, in some cases, even more humanely. Furthermore, unlike humans, bots never experience a bad day. You can count on them to be courteous, engaging, and likable.

You can enhance your digital marketing strategy with the aid of artificial intelligence. However, artificial intelligence is not here to replace marketer and advertiser jobs. Instead, it supports them in maximizing their genuine strategic and creative talents. To succeed, marketers and advertisers must adapt their practices and marketing strategies to the current AI trends.

Image Credit: Mikael Blomkvist; 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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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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