Tag Archives: BEB

DEFINING AI Based on Capabilities

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The earlier versions of the AI applications that we commonly interact with were based on traditional machine learning models. These models rely on learning algorithms created and managed by data scientists, requiring human intervention to process new information and perform tasks beyond their original training.

With the introduction of artificial neural networks,  machines are able to learn through reinforcement and mimic the information processing of the human brain.

With the continuous evolution of AI, the field is in a state of constant change and rapid development. Our comprehension of both realized and theoretical AI is constantly shifting, leading to variations and overlaps in AI categories and terminology across different sources. Nonetheless, a comprehensive understanding of AI can be gained by examining two overarching categories: AI capabilities and AI functionalities.

Artificial Narrow Intelligence, also known as Weak AI, is the current state of artificial intelligence that exists today. It is designed to perform a specific task or set of tasks more efficiently than a human mind. However, it is limited to the narrow range of tasks it has been trained for and cannot operate outside of those parameters. Examples of Narrow AI include virtual assistants like Siri and Alexa, as well as IBM Watson.

On the other hand, Artificial General Intelligence (AGI), also known as Strong AI, is a theoretical concept that encompasses the ability for AI to use previous knowledge and skills to perform new tasks in different contexts without the need for human intervention. AGI has the potential to learn and perform any intellectual task that a human can.

Artificial Superintelligence, also known as Super AI, goes even further beyond AGI in terms of theoretical capabilities. If realized, Super AI would possess cognitive abilities that surpass those of human beings, including the ability to think, reason, learn, and make judgments beyond human capacity. Super AI would have evolved to understand human emotions and experiences, and potentially even develop emotions, needs, beliefs, and desires of its own.

Why Online Content Disappears and What It Means for Us

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In today’s digital age, the internet serves as a massive repository of information, connecting users worldwide to a wealth of resources. However, a recent analysis by the Pew Research Center sheds light on the fleeting nature of online content.

A staggering quarter of webpages created between 2013 and 2023 are no longer accessible as of October 2023. This phenomenon of “digital decay” is prevalent across various online platforms, with news websites, government sites, and even Wikipedia pages experiencing broken links and disappearing content.

The Pew Research Center’s study also delved into social media and found that nearly one-in-five tweets become inaccessible within just a few months of being posted. Accounts are often suspended or deleted, leading to the disappearance of tweets from public view.

The implications of this digital decay are significant. It raises questions about the permanence of online information and the reliability of sources in our digital landscape. As users, we must be aware of the transience of online content and take measures to preserve and protect valuable information for future generations.

The internet may be an ever-expanding universe, but it’s essential to recognize that content can vanish in an instant. Let’s start a conversation about the preservation of online information and the impact of digital decay on modern society.

What Is Data Driven Markeing?

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Put simply, data-driven marketing is the practice of basing your brand’s marketing and communications strategies on the quantitative information you’ve gathered about your target audience.

While traditional marketing practices were based on long-held assumptions or “gut” feelings, data marketing is based on quantifiable facts from consumer data. What once would have been an untargeted marketing campaign based on an educated guess is now a factual effort based on what you know to be true.

By combining the consumer data collected by your brand and reliable third-party sources reflecting additional information about your customers’ lifestyles, interests, and behaviors—as well as consumer trends and propensities—you have all of the information you need to handcraft the perfect campaign to reach your target audience.

The benefits of data marketing are vast. When you improve both the accuracy and speed of marketing campaigns, your efforts are more efficient and effective, allowing you to:

  • Enhance targeting and personalization. Gathering and analyzing vast amounts of customer data—such as demographics, preferences, behavior patterns, and purchase history—helps guide segmentation and enables marketers to create more personalized campaigns. This targeted approach increases the chances of engaging customers, building stronger relationships, and driving higher conversion rates.
  • Improve campaign performance. Data-driven marketing empowers marketers to continuously monitor, measure, and optimize campaign performance. By tracking performance metrics in real time, marketers can quickly identify underperforming campaigns or channels and make data-informed adjustments to improve results.
  • Achieve a higher ROI. Businesses that use data marketing strategies drive five to eight times as much ROI compared to businesses that don’t. That’s because making data-driven decisions leads to increased efficiency and cost savings, as businesses use data to optimize their campaigns and target their resources more effectively.
  • Stand out against competitors. With accurate data, you can stay up-to-date with market trends and make more informed business decisions. As a result, 64% of marketing executives “strongly agree” that using a data-driven marketing strategy helps them stand out from and succeed against their competitors.
  • While you may be able to reach these same conclusions with traditional trial-and-error marketing practices, a data-driven strategy drastically improves the process and outcome.

Let us help you fill in the gaps of your in house data by applying additional data points using third-party data allowing you to get a complete picture of your customers.

Almost 1 in 5 Stay-At-Home Parents Are Dads

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It’s interesting to see the trends and changes in the share of stay-at-home parents over the years. According to a Pew Research Center analysis of U.S. Census Bureau data, the share of parents in the United States who are not employed for pay has remained fairly stable in the last five years. In 2021, 18% of parents didn’t work for pay, which was unchanged from 2016. However, there are differences in the share of stay-at-home parents between men and women, with 26% of mothers and 7% of fathers choosing to stay at home.

Looking at the data from 1989 to 2021, it’s clear that the share of stay-at-home parents has fluctuated, rising during periods of higher unemployment. Interestingly, while the share of mothers who were not employed for pay decreased slightly from 28% to 26% during this period, the share of fathers who were not working increased from 4% to 7%. These diverging trends have resulted in an increase in the proportion of stay-at-home dads, from 11% in 1989 to 18% in 2021.

When it comes to the reasons why parents choose to stay at home, there are differences between mothers and fathers. In 2021, the majority of stay-at-home moms (79%) cited taking care of the home or family as the reason for not working, while smaller shares mentioned being ill or disabled, unable to find work, retired, or being students. On the other hand, stay-at-home dads had more varied reasons for not working, with 23% staying home to care for the home or family, followed by reasons such as illness or disability, retirement, inability to find work, and going to school.

In terms of demographics, stay-at-home dads differ from dads who work for pay. Stay-at-home dads are less likely to have completed at least a bachelor’s degree, with only 22% having this level of education compared to 42% of working dads. Additionally, stay-at-home dads tend to be more economically disadvantaged, with 40% living in poverty compared to only 5% of dads who work for pay. Stay-at-home dads also tend to be older, with 46% being aged 45 or older, compared to 35% of working dads.

Lastly, when it comes to race and ethnicity, stay-at-home dads are a more diverse group compared to working dads. Non-Hispanic White fathers make up half of stay-at-home dads but 60% of dads who work for pay. Non-Hispanic Black fathers have a larger share among stay-at-home dads (18%) compared to working dads (9%), while Hispanic fathers represent 21% of both groups, and non-Hispanic Asian fathers account for 7% of stay-at-home dads and 8% of working dads. It’s also worth noting that a majority of stay-at-home dads (68%) and dads who work for pay (85%) are married.

These trends highlight the various factors influencing parents’ decisions to stay at home or work outside the home, as well as the differences between stay-at-home dads and moms, and the implications for their education, economic status, and demographic characteristics.

Americans’ attitudes about artificial intelligence (AI)

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Sharing information from a Pew Research Center survey on Americans’ attitudes about artificial intelligence (AI).

Pew Research Center surveyed 11,201 U.S. adults between July 31 and August 6, 2023.

The survey found that a growing number of Americans are expressing concern about the role AI plays in daily life. Specifically, 52% of Americans feel more concerned than excited about the increased use of AI, while only 10% are more excited than concerned, and 36% feel an equal mix of both emotions.

The survey also revealed that concern about AI outweighs excitement across all major demographic groups, though there are some differences by age. Older adults, aged 65 and older, are mostly concerned (61%) about the growing use of AI.  Younger adults, aged 18 to 29, also showed concern; concerned (42%) and excitement (17%).

The rise in concern about AI aligns with a rise in public awareness. Nine out of ten adults have heard at least a little about AI, with a 7-point increase in the share who have heard a lot about AI since December 2022. Those who are more aware of AI are 16 points more likely to express greater concern than excitement about it. Those who have heard a little about AI are also 19 points more likely to express concern compared to December 2022.

Despite the overall concern, opinions about AI’s impact in specific areas are more mixed. For example, 49% of Americans believe that AI helps more than hurts when it comes to finding products and services online. However, when it comes to privacy, 53% of Americans believe that AI does more to hurt than help in keeping personal information private.

The survey also found notable demographic differences. Americans with higher levels of education tend to view AI’s impact more positively across various use cases. Men also tend to view AI’s impact more positively than women. However, when it comes to privacy, both college graduates and adults with lower levels of education expressed concern about AI’s negative impact.

It’s important to note that these attitudes and opinions are still developing as AI continues to advance and be integrated into various aspects of daily life.

 

WHO ARE GEN ALPHA?

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Read a super interesting article by Arielle Feger on Insiderintelligence.com. It was called, “What Marketers Need To Know About Gen Alpha.

Who are Gen Alpha? They are people ages 9 through 24; the children of millennials and Gen Z.  It’s fascinating to see how Gen Alphas are shaping up to be a unique generation. According to Razorfish, they are more than just a younger version of Gen Z. Gen Alphas value sharing their views and opinions, even at a young age, and they want to be empowered with a voice. They have high expectations and are mindful of the world around them.

Interestingly, when it comes to managing their mental health, Gen Alphas prefer activities like going outside or exercising, rather than relying on technology. This shows a different approach compared to Gen Z, who tends to practice self-care through pampering themselves.

One factor contributing to this difference is their early exposure to technology. Gen Alphas have grown up with devices from an early age, leading to a higher level of brand maturity at a younger age. This might translate into holding brands to higher standards and demanding accountability as they grow older.

Gen Alphas have also shown a strong inclination towards YouTube, with over half of them discovering brands through YouTube videos. This generation finds excitement and control in self-directed content, such as unboxing videos or watching YouTubers play video games. As marketers, it’s crucial to recognize the influence YouTube has on Gen Alpha and consider incorporating it into brand strategies.

To effectively connect with Gen Alpha, marketers should craft unique messaging that resonates with their values and aspirations. Additionally, brands must go beyond traditional technology to provide innovative digital experiences. Finally, being present on YouTube is essential for marketers who want to capture Gen Alpha’s attention.

In summary, Gen Alphas are shaping up to be a digitally native, purpose-driven generation with high expectations. Understanding their distinct characteristics and preferences will be key for marketers looking to engage with this influential demographic.