application programming interface

What is an API? Where did the term come from? What does an API do, and why are they important for developers? 

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Elon Musk, is now planning to charge a monthly fee for Twitter's API tool to help generate revenue. What problems could arise from this decision? Would it even succeed?

supporting links

1.     Elon Musk suggests charging governments and corporations [The Verge] 

2.     Elon Musk and Twitter, One Quarter Later [SLATE]

3.     Elon Musk’s reach on Twitter is dropping — fires a top engineer over it 
          [The Verge]

4.     API [Wikipedia] 

5.     What Is an API (Application Programming Interface)? [Amazon/AWS]

6.     What is an API (in 5 minutes) [YouTube]

7.     Researchers, disaster relief groups in ‘crisis mode’ [Northeastern Global News]

8.     Social media is an important tool in helping disaster victims [Northeastern Global News]

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“Don’t be afraid of long copy; be afraid of insufficient clarity,” Flint McGlaughlin taught in Website Wireframes: 8 psychological elements that impact marketing conversion rates (https://meclabs.com/course/sessions/website-wireframes/).

I thought of that quote when my latest guest talked about how often being afraid drives marketing and business leaders, and so they resort to focus groups and consultants to cover for themselves in case something goes wrong. But she called this the dangerous delusion of safety, that playing it safe can hurt you more than you know. And she shared a story from her career illustrating that lesson.

You can hear that lesson, and many more lesson-filled stories, from Jasmin Guthmann, Head of Corporate Communication, Contentstack (https://www.contentstack.com/), on this episode of the How I Made It In Marketing podcast.

Guthmann manages a global team of eight people that she has built from scratch over the past six months, along with a $1 million budget (her part of the organization’s overall marketing budget). Contentstack has raised $89 million in funding over three rounds.

Guthmann is also Vice President of MACH Alliance  (https://machalliance.org/). MACH stands for Microservices based, API-first, Cloud-native SaaS and Headless. The not-for-profit industry body has 70 member companies, ranging in size from startups to Google.

Listen to my conversation with Guthmann using this embedded player or click through to your preferred audio streaming service using the links below it.

Stories (with lessons) about what she made in marketing

Some lessons from Guthmann that emerged in our discussion:

• Be the person who doesn’t give up when things get complicated. Be the one to simplify them. Then, your creative teams can do phenomenal things.
• The Dangerous Delusion Of Safety: Playing it safe can hurt you more than you know.
• There’s no way you can think your way into predicting what your customers need. Seriously. Stop trying. 
• “If you want it, don’t be afraid to ask for it.”
• “Large meetings are not for decisions” and “Be the calm in the storm.”
• “Don’t be afraid to ask for better from your people. But make sure you walk the talk!”

Related content mentioned in this episode

Customer-First Marketing: A conversation with Wharton, MarketingSherpa, and MECLABS Institute (https://sherpablog.marketingsherpa.com/consumer-marketing/wharton-interview-customer-first-marketing/)

Using the Science of Habit Formation in Customer-First Marketing (interview with Charles Duhigg) (https://sherpablog.marketingsherpa.com/marketing/charles-duhigg-interview-part-two/)

About this podcast

This podcast is not about marketing – it is about the marketer. It draws its inspiration from the Flint McGlaughlin quote, “The key to transformative marketing is a transformed marketer” from the Become a Marketer-Philosopher: Create and optimize high-converting webpages (https://meclabs.com/course/) free digital marketing course.

Apply to be a guest
If you would like to apply to be a guest on How I Made It In Marketing, here is the podcast guest application – https://www.marketingsherpa.com/page/podcast-guest-application

This article was published in the MarketingSherpa email newsletter.

“Attention precedes interest. Interest precedes engagement; engagement proceeds relationship,” Flint McGlaughlin teaches in Headline Writing: 4 principles that could drive down your website bounce rate (https://meclabs.com/course/sessions/headline-writing/).

When I asked my latest guest how she builds those relationships with her marketing, she talked fondly of learning directly from real people, whether in her early days in a trade show booth or more recently using digital technology. The end goal of listening to customers is the same – to help her organization and team of marketers understand customers as real people, which will ultimately help them build more relationships with customers.

You can learn the story behind that lesson from Michelle Huff, Chief Marketing Officer, UserTesting (https://www.usertesting.com/), along with many more lesson-filled stories from her career, on the latest episode of the How I Made It In Marketing podcast.

Huff manages a team of 65 at UserTesting. UserTesting is a publicy traded company on the New York Stock Exchange. It reported $147.4 million in revenue in 2021, up 44% year-over-year.

Stories (with lessons) about what she made in marketing

• Obstacles are opportunities, if you choose to view them as opportunities.
• Utilize customer empathy when trying to involve the customer in marketing efforts.
• Surround yourself with the right people.
• Marketers should get involved with the sales team to learn from them.
• To learn about how your product really works, teach someone else.
• Become a true partner with your Sales counterpart.

Related content mentioned in this episode

Empathy Marketing: 3 examples of empathetic marketing in action (with results) (https://www.marketingsherpa.com/article/case-study/empathy-marketing)

Informed Dissent: The best marketing campaigns come from the best ideas (https://sherpablog.marketingsherpa.com/online-marketing/marketing-dissent-campaigns/)

Healthcare Marketing Leadership: Build communities…not a customer list, walk your own path, take care of yourself (podcast episode #30) (https://www.marketingsherpa.com/article/interview/healthcare-marketing-leadership)

About this podcast

This podcast is not about marketing – it is about the marketer. It draws its inspiration from the Flint McGlaughlin quote, “The key to transformative marketing is a transformed marketer” from the Become a Marketer-Philosopher: Create and optimize high-converting webpages (https://meclabs.com/course/) free digital marketing course.

Apply to be a guest
If you would like to apply to be a guest on How I Made It In Marketing, here is the podcast guest application – https://www.marketingsherpa.com/page/podcast-guest-application

Entrevista com Leonardo Santos CEO na Semantix, falamos sobre do potencial do mercado de Application Programming Interface e as possibilidade de criar um ecossistema integrando BIG Data, Inteligência Artificial e as APIs.

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Ficha técnica
Produção: Vinicius Perrott
Edição: Senhor A - editorsenhor-a.com.br

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April and Emily break down what APIs are, best practices, and how they are relevant to society today.

Show notes, transcription and more at https://ChristinaMoore.us/the-soul-of-an-internet-machine/

In this special "2x" explainer episode of 16 Minutes -- where we talk about what's in the news, and where we are on the long arc of various tech trends -- we cover all the buzz around GPT-3, the pre-trained machine learning model that's optimized to do a variety of natural-language processing tasks. The paper about GPT-3 was released in late May, but OpenAI (the AI "research and deployment" company behind it) only recently released private access to its API or application programming interface, which includes some of the technical achievements behind GPT-3 as well as other models.

It's a commercial product, built on research; so what does this mean for both startups AND incumbents... and the future of "AI as a service"? And given that we're seeing all kinds of (cherrypicked!) examples of output from OpenAI's beta API being shared -- from articles and press releases and screenplays and Shakespearean poetry to business advice to "ask me anything" search and even designing webpages and plug-ins that turn words into code and even does some arithmetic too -- how do we know how good it really is or isn't? And when we things like founding principles for a new religion or other experiments that are being shared virally (like "TikTok videos for nerds"), how do we know the difference between "looks like" a toy and "is" a toy (especially given that many innovations may start out so)?

And finally, where are we, really, in terms of natural language processing and progress towards artificial general intelligence? Is it intelligent, does that matter, and how do we know (if not with a Turing Test)? Finally, what are the broader questions, considerations, and implications for jobs and more? Frank Chen (who's shared a primer on AI/machine learning/deep learning as well as resources for getting started in building products with AI inside and more) explains what "it" actually is and isn't; where it fits in the taxonomy of neural networks, deep learning approaches, and more in conversation with host Sonal Chokshi. And the two help tease apart what's hype/ what's real here... as is the theme of this show.

image source: Gwern.net