Category: What’s New in Technology

The adoption of super apps in the West has been slower and more fragmented compared to Asia. While user preferences are shifting toward integrated digital experiences, regulatory and market dynamics have challenged the widespread adoption of super apps. However, elements of the super app model are gradually being incorporated into existing Western apps as companies explore ways to provide users with a broader range of services within their ecosystems. A good example is the acquisition of Twitter, rebranded to X by Elon Musk, intending to turn it into an everything app.

According to research on the global super apps market, the value of the market in 2022 was $58.6 billion. The market size value is expected to reach $722.4 billion by 2032. This signals the enduring presence of super apps, requiring businesses to adapt in order to maintain their competitive edge.

The Impact on Traditional Business Models

Super apps have challenged established business models in many industries, including finance, retail, and transportation, among others. In retail, super apps often include marketplaces that offer users a wide range of products and services. This has disrupted traditional brick-and-mortar retailers and standalone e-commerce platforms. As users spend more time within super apps, they are less likely to use separate e-commerce apps, leading to a shift in the retail landscape.

In finance, super apps frequently integrate financial services, such as mobile payments, digital wallets, and personal financial management. This has upset traditional banking models by offering a more accessible and user-friendly way to manage money. The convenience and speed of financial transactions within super apps are compelling, drawing users away from traditional banking.

In transportation, super apps have revolutionized the industry with ride-sharing and mobility services. Traditional taxi companies and car rental agencies are facing stiff competition from these apps, which offer efficient, cost-effective, and user-friendly alternatives for getting around.

Super apps have also transformed the food and delivery industry by offering a seamless way to order meals, groceries, and other goods. This has challenged traditional restaurants and grocery stores to adapt to the changing market dynamics.

How Businesses Benefit from Super Apps

1. Super apps provide a platform for businesses to reach a vast and diverse user base, leading to increased brand awareness and customer acquisition. They also allow businesses to upsell and cross-sell existing products or services to their customers, increasing sales.
2. By offering a wide range of services, super apps create new revenue streams for businesses and increase customer loyalty as users can access all their favorite services in one app.
3. By bringing together multiple service providers inside their ecosystem, super apps promote cooperation and innovative ways to solve client problems.
4. Businesses may invest in joint ventures and collaborations with other businesses using the super app, resulting in the development of distinctive products and value-added services.
5. Super apps simplify processes for businesses by bringing together multiple service providers. This lets businesses give undivided attention to their core competencies and leave other services to the super app.
6. Super apps allow businesses to build stronger brand loyalty by providing a more convenient, personalized, and cost-effective user experience.
7. Super apps can help businesses reduce costs by eradicating the need to develop and maintain multiple standalone mobile apps. Besides, building a single super app is less expensive than managing multiple apps, and it allows developers to focus on a single product and eradicate unnecessary costs involved in the app development process.

Conclusion

Super apps are here to stay, and their impact on traditional business models is undeniable. They offer users unparalleled convenience, forcing traditional businesses to rethink their strategies. To thrive in this evolving landscape, businesses need to embrace digital transformation, innovate, and consider how they can leverage the reach and capabilities of super apps to their advantage.

Data breaches have been on the rise as cybercriminals keep coming up with new ways to steal user-sensitive information. Just in the second quarter of 2023, 110.8 million user accounts were breached. Of these accounts, 49.8 million were from the United States, accounting for 45 percent of the global figure. However, amid the rising threats, a revolutionary concept known as decentralized identity systems has created a solution to reduce data breach cases.

Data Breaches and the Current State of Identity Management

A data breach happens when unauthorized individuals or entities gain access to sensitive information, often for malicious purposes. These breaches can happen to anyone, from individuals to large corporations, and they come with severe consequences that could include financial losses, reputation damage, and identity theft.

The current identity systems are centralized and have inherent vulnerabilities and limitations. These centralized identity systems involve a central authority, such as a government agency or a corporation, storing and managing individuals’ personal information. This means that if a hacker breaches the central authority’s security, he or she gains access to a vast amount of sensitive data.

Furthermore, since the centralized systems often collect extensive personal information, the practice raises concerns about data privacy. The entities storing user data predominantly control and monetize it, which has led to discomfort and distrust among users.

The centralized systems also create a fragmented user experience. This is because different platforms, such as social media, online retailers, news websites, etc., require users to create accounts. Users then must juggle multiple usernames, passwords, and data formats, complicating the digital experience. Businesses also incur high costs associated with ensuring secure systems, the latest infrastructure, and compliance.

How Decentralized Identity Systems Can Help Prevent Data Breaches

Decentralized identity systems are an alternative to centralized identity management. These systems put individuals in control of their own digital identities. The decentralized identity systems are enabled by technologies such as Web3, a concept based on a trust framework for identity management. Web3 evolution has led to decentralized identifiers, and this allows for secure management of user data and authentication through blockchain wallets.

Using blockchain technology ensures the security and immutability of identity data. Once information is added to the blockchain, it cannot be altered or deleted without the user’s consent.

However, they allow users to have control over their identity information. Users choose what data to share and with whom, enhancing privacy and security. There is no need for third parties to verify user identity.

Since users store data on their devices or a location they choose, it eliminates single points of failure. Instead of a centralized authority, identity data is distributed across a decentralized network of nodes. Additionally, these systems use advanced cryptographic keys, allowing only the user to access their data.

Decentralized identity systems are already making an impact in various industries, such as healthcare, financial services, and government services. The security benefits of decentralized identity include:

• Enhanced Security

Decentralized identity systems offer robust security measures. With data stored on a blockchain, it becomes exceedingly difficult for hackers to breach the system. Even if one node is compromised, the decentralized nature of the network ensures that other nodes maintain the integrity of the data.

• Privacy Control

Users regain control over their personal information. They decide what data to share and retain the ability to revoke access at any time. This puts an end to excessive data collection by corporations and governments.

• Reduced Identity Theft and Fraud

Decentralized identity systems make it incredibly challenging for fraudsters to impersonate individuals or access their data. This significantly reduces the risk of identity theft and related fraudulent activities.

• New Economic Models
  Decentralized identity models can create new economic models where consumers are awarded when they choose to share their data with service providers.

While decentralized identity systems offer promising solutions, they are not without challenges. The widespread adoption of decentralized identity systems presents scalability challenges. Another challenge is usability, as complexity can deter individuals and businesses from embracing this technology. The need for a regulatory framework is another challenge, as it is necessary to address factors related to legal and compliance.

Conclusion

Decentralized identity systems offer hope in an age where data breaches are a constant threat. These systems can revolutionize how users secure their digital identities by putting control back into individuals’ hands. While challenges exist, the benefits of enhanced security, privacy control, and reduced fraud make decentralized identity systems a promising solution in the ongoing battle against data breaches.

Marketing efforts today depend on collecting, analyzing, and leveraging data to make informed decisions. Therefore, business owners need to understand how to harness the power of data and personalization to create targeted campaigns that drive growth.

Importance of Data and Personalization in Modern Business

Businesses today collect loads of data, enabling them to understand their customers’ preferences, behaviors and interests. The data comes from different channels, such as a business website, emails, or social media. It is then used to identify patterns and trends to make informed marketing decisions. This yields valuable insights that help craft highly personalized and effective marketing strategies.

Data is the foundation of personalization strategies. Personalization involves tailoring customer experiences to meet individual interests, needs, and preferences. It aims to build strong customer relationships, encourage engagement, and drive revenue and growth.

Personalization takes different approaches, such as recommendations based on previous purchases, creating unique landing pages, or sending emails based on customer browsing behavior. For example, e-commerce websites recommend products based on user browsing history and search queries.

Business owners can’t afford to ignore personalization since customers today are more informed, can easily access information, have more options, and have more control over purchase decisions. Furthermore, customers are more demanding and want to be recognized as individuals, expecting to receive personalized experiences. This has rendered traditional, one-size-fits-all marketing strategies obsolete.

How Businesses Can Use Data and Personalization for Targeted Campaigns and Growth

Using a data-driven approach, a business can create campaigns that deliver the right message to the right audience at the right time by doing the following:

1. Audience segmentation

Capturing the attention of a specific audience segment leads to higher conversion rates. To do this, a business can leverage data insights to segment the target audience. This means it is possible to categorize potential customers based on demographics, interests, or browsing behavior.

2. Crafting personalized content

Once segmentation is complete, it becomes possible to create tailored campaigns that resonate with each segment’s unique preferences. Aside from addressing customers by their names, it involves delivering content that speaks directly to their needs, interests, and pain points. This could include product recommendations based on past purchases or sending targeted offers that align with customer browsing history.

3. Omnichannel personalization

Customers interact with businesses using various channels, such as a business website, social media, emails, and mobile apps. A business can integrate data and personalization efforts to ensure a seamless journey for customers, regardless of where they engage. Additionally, it is crucial to deliver consistent and personalized experiences across these channels.

4. Continuous improvement in data-driven campaigns

Data insights also help guide businesses on the most suitable content and distribution strategies. They can analyze types of content performing well and in which channels. For example, a business can conduct A/B testing to compare campaign and content variations to identify the most effective approach for each segment.  

5. Measuring and analyzing results

To establish the effectiveness of personalized campaigns, a business will need to develop clear key performance indicators (KPIs) and measurement methods. One way to measure the impact of personalization is through customer engagement. This is done by measures such as click-through rates on personalized emails, customer retention rates, customer lifetime value, customer feedback, and number of sales.

It is worth noting that to make the most out of data insights. It is helpful to invest in advanced analytics tools or collaborate with data experts.

6. Adapting to changing trends

The digital landscape is evolving constantly, with new technologies and trends emerging regularly. Businesses must stay updated on these changes and adapt their personalization strategies accordingly. Remaining flexible and open to innovation ensures that the company’s targeting efforts are relevant and effective.

Data Privacy and Security

Although personalization in modern business is crucial, it must be balanced with privacy concerns. First, a business must be transparent about the data it collects and how it will be used. In addition, businesses need to be careful with the data they collect. They must ensure data security by safeguarding data storage and using safe transmission methods, have access control limits, and regularly audit data privacy policies and practices. Customers should be allowed to opt out of data collection and personalization efforts easily.

Customer data must be well protected to ensure compliance with relevant regulations. It also helps build trust with customers. Besides, a breach of trust can severely affect a business’s reputation and growth.

Data breaches are the work of criminals who aim to obtain specific data. Criminals do this through various methods, including phishing attacks, malware attacks, targeted attacks, vulnerability exploits, and loss or theft of devices. However, data breaches are also a result of technical or human errors. For example, a misconfiguration error exposed the car location data of 2 million Toyota customers in Japan and overseas for 10 years; and the work of an insider led to Tesla’s massive data breach.

Unfortunately, data breach cases keep rising. May 2023 alone saw numerous breaches from different organizations, including healthcare organizations, education institutions, the transportation department, and even tech giants.

For companies, the consequences of data breaches are reputation damage, loss of consumer trust, intellectual property theft, financial loss, and fines due to failure to conform with data protection legislation. While cyber criminals mainly target organizations, individuals also experience identity theft and financial crimes. This especially happens when stolen data is sold on the dark web or publicly published.

What action can data-breach victims take?

Unfortunately, no one is immune from a data breach. However, victims can survive a breach with less disruption. Once a data breach has occurred, the U.S. breach notification law requires businesses or governments to notify those affected immediately after its discovery.

Although companies are responsible for securing customer data in their possession, customers also have a role to play in securing their data. Essential steps to take include:

• Being aware of any site claiming to be a data breach check site.
  Such sites could ask for personal information or ask a victim to click a link to verify their details. Hackers also take advantage of a breach and pose as the affected company to lure victims into clicking malicious links, primarily through emails. A user must, therefore, first confirm that a breach happened. This can be in the news or on the affected company’s website.
• Change passwords for accounts exposed.
  In most cases, affected companies will notify victims of their affected accounts, and their security team will provide instructions on how to stay safe. Such instructions include changing passwords on the breached site or any other account that uses similar login credentials.
• Set up two-factor or multi-factor authentication (2FA/MFA).
  This extra security measure will require a one-time user code to log in to an account in addition to the login and password.
• Notify the bank.
  If financial-related data is stolen, such as credit card information, the bank must be notified immediately to freeze the cards.
• Credit freeze.
  Cybercriminals can use stolen data to open new accounts and take loans. To avoid a ruined credit score, individuals can request a credit freeze from major credit bureaus such as Experian, Equifax, and TransUnion.
• Monitor personal accounts for any unusual transactions.
  Although it depends on the type of data breach and exposed data, victims must look out for unauthorized transactions, including bank account transactions, medical bills, insurance claims, and tax refund claims.
• File a report with the Federal Trade Commission (FTC).
  If criminals have already used personal data, filing an identity theft report will serve as proof to clear one’s name or dispute a fraudulent transaction.
• Practice cyber hygiene.
  These are practices that help individuals remain safe online. Aside from account security, consumers must use up-to-date software and operating systems, antivirus software, and avoid publishing too much personal information to minimize online footprints that fraudsters can easily access, such as on social media.

It is worth noting that data breaches are not detected immediately, which means that by the time users get notified, cybercriminals already have had access to the data for some time. And as technology advances, cybercriminals are taking advantage of new technologies, such as generative AI, for phishing attacks. This means that more data breaches may continue to be witnessed.

However, users can help prevent future data breaches by using strong passwords, being cautious of phishing scams, and regularly monitoring financial accounts.

The Pew Research Center and Elon University’s Imagining the Internet Center conducted a nonscientific canvassing to gather expert views about the future of the human agency.

The experts were specifically asked, “By 2035, will smart machines, bots, and systems powered by artificial intelligence be designed to allow humans to easily be in control of most tech-aided decision-making that is relevant to their lives?”

Of the 540 experts from different fields, 56 percent disagreed with the statement, while 44 percent agreed. Some of the main themes raised by the experts who disagreed with the statement include:

• The agendas of commercial interests and governments will determine the future.
• The convenience that comes with automation makes users less vigilant over technology.
• AI technology’s complexity and rapid evolution can be overwhelming, making it difficult for users to assert their agency.

Common themes raised by participants that agreed with the statement include:

• Humans also will evolve with technology, and there is the expectation that AI and tech companies will be regulated.
• Expectations that businesses will protect the human agency to retain public trust and to keep ahead of the competition.
• Technology will allow varying degrees of human agency.

Key Considerations for Upholding Human Agency

Seeing that technology will keep advancing and more automated systems will be witnessed, it’s crucial to implement ways to help uphold human agency. Some considerations include the following:

1. Implement mechanisms that contest AI systems. An AI system is as good as the information fed to it. Therefore, it can be faulty or deliberately flawed, and there should be ways to request redress. This can be through AI policies that allow users to contest or rectify a decision made by AI systems.
2. Empower users through systems that include meaningful choices and controls, enabling users to decide how to interact with them. For example, a system should allow users to adjust preferences, customize settings and choose the features they want. This promotes a sense of ownership and autonomy over digital experiences.
3. Promote digital literacy and education to teach about technology capabilities and limitations. Technology users must develop critical thinking skills to exercise human agency and make informed decisions.
4. Integrate ethical principles into technology design and deployment. This can be done by creating guiding ethical frameworks that consider the likely societal impacts and consequences of digital systems.
5. Guarantee transparency and explainability in technologies and algorithms, providing users with accessible explanations of how decisions are made and what data is utilized. This transparency fosters trust in the technology and empowers individuals to make informed choices.
6. Establish accountability for the design, development, and implementation of digital systems. Holding individuals and organizations accountable for the impact of their technology helps maintain human agency and promotes ethical behavior.
7. Implement robust measures to safeguard individuals’ privacy and protect their data. This includes incorporating strong data protection mechanisms, giving users control over their personal information, and establishing clear consent mechanisms for data collection and usage, accompanied by transparent policies. Respecting privacy rights is paramount for preserving human agency in the digital realm.

Conclusion

The essence of being human lies in exercising control over the nature and quality of an individual’s life. However, technological advances such as artificial intelligence are raising concerns about this human ability. Humans are responsible for actively embracing and comprehending the possibilities and implications of living in a world where digital systems take over various tasks and processes. Instead of surrendering their agency, humans should view partnering with these digital systems as a means to supplement and strengthen their intelligence rather than surrendering it.

The Organization for Economic Cooperation and Development (OECD) is another international organization where governments work together to solve common challenges and develop global standards. A good example is their recommendation on responsible innovation in neurotechnology, adopted by the OECD Council in December 2019. Other organizations working toward promoting global collaboration and coordination on emerging technology issues include the World Economic Forum (WEF) and the United Nations.

Unfortunately, there is still a lot of work to be done. Continued global cooperation is crucial to ensure that emerging technologies are created and used to benefit society. Currently, there is no global agreement on technology regulation; instead, regulators take different and sometimes conflicting standpoints.

Conclusion

The pace and impact of emerging technologies are likely to keep increasing. Although these developments improve human experiences, the potential for these technologies to disrupt social, economic and political systems worldwide means that it is essential for governments, private companies and civil organizations to work together to ensure that they are developed responsibly.

The acronym internet of behavior (IoB) was coined by Gartner, a tech research firm, as identified among the top 10 trends in their strategic technology report for 2021. However, the concept of using data to influence customer behavior was developed in 2012 by Göte Nyman, a psychology professor at the University of Helsinki, long before the internet of things took hold.

Gartner defines IoB as an extension of the internet of things, focusing on capturing, processing and analyzing the “digital dust” of people’s daily lives.

Simply put, IoB interconnects IoT, consumer psychology and data analytics. The data is analyzed in terms of behavioral psychology to capture patterns that marketing and sales teams can use to influence customer behavior.

How IoB can Influence Customer Loyalty

Aside from products and services, customer experience has become a significant factor in business success. By understanding customer behavior, businesses can leverage IoB data to influence customer loyalty in various ways.

Personalization

Personalization has the power to transform customer experience. This is reflected in a survey that revealed 76 percent of Americans are more likely to complete a purchase because of a personalized experience.

To take advantage of IoB, companies study insights extracted from collected data and use it to decipher customer behavior; that is, their practices, preferences, habits, needs, wants and more. The company can then leverage this data to offer personalized product recommendations, such as insurance premiums, saving plans, travel destinations, etc.

For example, an insurance company can have users install apps on their phones that collect data on distance traveled, car speed, etc., and optimize their car’s premium based on driving behavior.

Timely Improvement of Products and Customer Services

IoB also makes studying how customers interact with specific services or products easy. This saves companies from time-consuming surveys that are used to determine consumer preferences. The collected data is analyzed to identify pain points and issues of concern. The company can then address the issues before they become significant problems, such as by improving on products and services. This is an excellent way to build trust and confidence in a brand, leading to customer retention.

Behavioral Retargeting

Since companies can access customer preferences, recent activities, likes, dislikes, and location data, they can send real-time notifications to customers about discounts and new offers in stores nearby. They also can track loyal customers and offer them rewards. This kind of retargeting will make customers feel like a business values them and caters to their interests.

Develop a Tailored Marketing Strategy

Insights from IoB data can help tailor marketing strategies to individual customers. For instance, a retail store can offer products or services based on the mood, age or gender of a customer; thereby providing a satisfying experience that will lead to a stronger emotional connection with the brand.

Key Challenges that must be Addressed for the Success of IoB

Despite the opportunities IoB offers, companies must be aware of some key challenges to fully realize its benefits.

• Privacy Concerns – Although personalization will make consumer lives easier, there is a concern about privacy. Companies must implement strong cybersecurity policies and measures to ensure that customer information is used only for that which a customer has given consent.
• Convincing Users to Share Personal Data – People might not be comfortable sharing their personal data.
• Laws and Regulations – Strict regulations around collecting and using personal data, such as the General Data Protection Regulation (GDPR), require companies to comply in order to avoid fines and legal issues.
• Cybersecurity – As reliance on technology rises, so do cyberattacks. Cybercriminals may access sensitive data on consumer behavior, making consumers susceptible to online scamming and identity theft, among other threats.

Conclusion

Leveraging IoB can provide businesses with a competitive edge and drive revenue growth. Companies seeking continuous success should consider placing IoB at the center of business innovation to create personalized customer experiences. At the same time, they must also examine any challenges that might reduce the effectiveness of IoB.

The use of NLP is growing significantly in enterprise solutions designed to help streamline business operations. Large companies such as Deloitte, Ernst & Young (EY), and PricewaterhouseCoopers (PwC) have implemented various NLP solutions. A good example is Deloitte, which incorporated NLP into its Audit Command Language to improve contract compliance.

How NLP Can Improve the Efficiency of Accounting Processes

Areas in which NLP helps improve efficiency include:

1. Forensic Investigations
   When CPAs want to perform forensic investigations, they have to deal with significant amounts of data from documents such as bank statements, transaction data tables, and data found in emails or deposition transcripts. Analyzing all the data as they try to look for specific patterns or gain insights is challenging. However, the application of NLP can be helpful in the investigative analysis process. NLP using algorithms can identify patterns automatically and reduce the time it would have taken to analyze the documents.
2. Accounting and Auditing
   Auditing is challenging due to the process of reviewing financial statements and ensuring they match regulations and legal standards. Auditors must have excellent analytical and decision-making skills to spot inaccuracies in financial statements. However, NLP helps to optimize the auditing process.
3. Financial Analysis and Automated Generation of Financial Reports
   NLP can automatically extract financial data from balance sheets, income statements, and cash flow statements. This can cut down on time and error-prone work. At the same time, it can obtain insights from massive financial data sets and financial reports. This enables accountants to make data-driven decisions and quickly identify trends and patterns in the data, hence, making it easy to provide guidance to clients on investments and household finances.
4. Automated Data Entry
   NLP can be used to extract data automatically from unstructured text documents, including bills and receipts. It also can be used to automate the entry of data from tax documents and input it into accounting systems. This can cut down on time and error-prone work.
5. Improve Centralized Data Management Solutions
   Incorporating NLP in accounting and procurement helps improve the ability of a centralized data management system to collect and integrate data from different sources. This enables standardization and collaboration. Additionally, the data provided has higher-quality insights. As a result, there is better financial planning and improved risk assessment and management.
6. Customer Interaction
   NLP can be used to enhance the effectiveness of customer interaction. This is done by automating the procedure for responding to client inquiries, such as concerning invoices, payments, and account balances.

Conclusion

Natural language processing is proving to be a powerful technology that can help improve the efficiency and effectiveness of accounting processes. As it continues to evolve, it will likely become an increasingly important tool for accountants and other financial professionals. Most importantly, these advanced technologies take care of manually reviewing unstructured data. This helps businesses scale and – at the same time – reduce costs.