Social Media Optimization with ChatGPT / AI Assistance in Microsoft Products / AI Marketing Manager for E-Commerce

Prepare for an exhilarating journey into AI advancements shaking up the digital marketing landscape! In this issue of our newsletter, we are set to explore these captivating subjects:

📗 Social Media Content Optimization with ChatGPT for Work (#GoogleSheets)

🧑‍✈️ #Windows Copilot: Centralizing AI Assistance in #Microsoft Products

🎨 AI Image of the Week: Generative Fill by #Adobe

📲 #OpenAI’s ChatGPT iOS App Sees Expanded Availability Globally

💬 Enhancing Speech Recognition Technology by #MetaAI

🤖 #Prompt of the Week: #Ecommerce Marketing Manager

We hope you find these topics informative and insightful.

Social Media Content Optimization with ChatGPT for Work (Google Sheets)

Social media content creators are now asking AI for content ideas and getting support when creating their monthly or weekly plans. So how can we speed up the creation of social media content? Do we need to go into ChatGPT every time and type a prompt, or is there an easier way?

In this article, I will show you how you can turn the content on your website, event announcements into social media posts, create content-specific UTMs, and how you can do all this with just copy+paste. To give you a brief summary, the white areas in the screenshot below are the social media content and UTMs that I copy+paste, and the colored areas are the social media content and UTMs generated within 10 seconds. You can create this table and more for your own business by reading my article.

Continue reading…

Windows Copilot: Centralizing AI Assistance in Microsoft Products

Integrating AI into Windows 11

Windows 11 is set to provide a more centralized AI assistance to customers, thanks to Microsoft’s new initiative – Windows Copilot. Announced at the Build developer conference, the Windows Copilot is designed to provide a personalized assistance, making the usage of various applications more streamlined and less energy-draining.

Invoking Windows Copilot is as easy as clicking a button on the taskbar. Once open, the Windows Copilot side bar remains consistent across apps, programs and windows, providing a consistent and familiar environment. Windows Copilot takes the much-loved Windows features such as copy/paste, Snap Assist, Snipping Tool, personalization and enhances them, offering an improved user experience.

For instance, users can ask Windows Copilot to rewrite, summarize, or explain their content, in addition to basic copy-paste functions. The aim of Windows Copilot is to cater to a range of questions, from simple queries to more complex issues, making every user a power user. Windows Copilot will begin its preview for Windows 11 users in June.

Extending Copilot to Other Microsoft Products

Apart from Windows 11, other Microsoft products are also set to gain AI integration. Microsoft Store and Bing Chat plugins will get new AI features and experiences. Additionally, GitHub Copilot is set to be integrated into the Windows Terminal, offering developers another platform to interact with AI.

Launched in 2019 and made the default command line experience in Windows 11 in the following year, Windows Terminal supports tabs, panels, and a command line palette that makes it easier to find actions. With the new integration, GitHub Copilot users will be able to use natural language AI for recommending commands, explaining errors, and taking actions within the Terminal application. This is part of an ongoing experiment with GitHub Copilot-powered AI in other developer tools to help streamline tasks.

In conclusion, Microsoft’s move towards AI integration, spearheaded by the introduction of Windows Copilot, signifies a substantial shift towards creating more user-friendly and efficient platforms. With its focus on enhancing user experience and streamlining tasks, the advent of Windows Copilot heralds a new era of AI integration in Microsoft products.

AI Image of the Week: Generative Fill by Adobe

A Twitter user named Linus shared how famous memes look behind the camera using Adobe’s Generative Fill feature.

OpenAI’s ChatGPT iOS App Sees Expanded Availability Globally

OpenAI’s ChatGPT iOS application is making its way to a broader audience. After its initial launch in the United States, it has been made accessible in India, and over 30 other countries spanning multiple continents. Expansion followed swiftly, covering European nations such as France, Germany, and Ireland, alongside New Zealand, Nigeria, South Korea, and the United Kingdom. In its first week, the ChatGPT mobile app surpassed half a million downloads, outperforming other AI and chatbot apps as well as key competitors in the U.S.

The ChatGPT app offers user interaction with OpenAI’s generative AI-based chatbot. Free to download, it provides ad-free services, supports voice input via OpenAI’s speech recognition system Whisper, and offers advanced features to ChatGPT Plus users through GPT-4. A subscription-based model is also available, costing $20 per month in the U.S. With a current offering only for iOS, an Android version of the app is under development.

This milestone in the expansion of the ChatGPT app comes as OpenAI’s CEO, Sam Altman, is engaging with global policymakers to address AI-related concerns. The company remains committed to ensuring a balance between accessibility and responsible use, while adhering to relevant regulatory frameworks. A word of caution to users: ensure that the downloaded ChatGPT app is provided by OpenAI, as several similar apps are present on the platform.

Enhancing Speech Recognition Technology by Meta AI

The potential of machine learning in the realm of speech recognition is profound, yet the lack of labeled data in numerous languages has limited its full potential. Current speech recognition models cover approximately 100 languages, leaving a majority of the over 7000 spoken languages worldwide without support. The Massively Multilingual Speech (MMS) project, spearheaded by Meta (formerly Facebook), is driving advancements by combining self-supervised learning mechanisms with a novel dataset, thereby extending support to a staggering 1100 languages.

Harnessing the Power of Self-Supervised Learning and Multilingual Data

This ambitious endeavor utilizes wav2vec 2.0, a pioneer in self-supervised learning, in concert with a dataset offering both labeled and unlabeled data for an extensive range of languages. The availability of audio recordings of religious texts in a myriad of languages has enabled the collection of an average of 32 hours of data per language, for over 1100 languages. This innovative approach has allowed MMS project models to outperform existing models and expand the coverage of languages tenfold. The research also indicates that these models perform well for both male and female voices and do not show undue bias towards producing more religious language.

Unleashing Greater Language Coverage and Performance

By tapping into 500,000 hours of voice data in over 1,400 unique languages, MMS models have managed to reduce the required amount of labeled data considerably. The performance of these models has been tested using benchmark datasets such as FLEURS, and the results have shown promising trends in accuracy. Notably, these models even rival OpenAI’s Whisper, achieving half the word error rate while covering 11 times as many languages. This vast language coverage is further reinforced by the development of speech synthesis systems for over 1100 languages, which is a major leap when compared to existing text-to-speech algorithms that typically rely on single-speaker voice datasets. Ultimately, this progression could pave the way towards a future where a single model can manage multiple speech tasks across all languages.

Prompt of the Week: E-Commerce Marketing Manager

As a marketing manager with more than 10 years of experience, can you tell me how an e-commerce store can improve its current digital marketing strategy that includes SEO, email marketing and paid social media advertising? Think step by step and explain it to a beginner.

Sure, I’d be happy to walk you through the steps to improve an existing digital marketing strategy for an e-commerce store.

Understanding Your Audience and Competitors:

Understanding your audience is key. You must know who your customers are, what they want, and how they interact online. Collect data on their demographics, interests, online behavior, and purchasing habits. Use analytics tools to better understand your website traffic and identify trends. Also, keep a close eye on your competitors – what they are doing well, what’s not working for them, and opportunities they might be missing.

Refining SEO:

SEO is a vital part of digital marketing. Here are some ways to improve it:

Keyword Research: Use tools like Google Keyword Planner or SEMrush to identify keywords that your target audience uses to search for your products or services.

• On-page SEO: Make sure to incorporate those keywords into your website content, meta descriptions, URLs, and alt tags of your images.
• Off-page SEO: Build quality backlinks to improve your domain authority. This could be done through guest blogging, influencer marketing, etc.
• Local SEO: If you have a local business, optimize your website for local searches. This includes adding your business to Google My Business and optimizing for “near me” searches.

Enhancing Email Marketing

Email marketing is a powerful tool to reach your customers directly. Here are some ways to optimize it:

• Segmentation: Segment your audience based on their interests, browsing behavior, purchase history, etc. Tailor your emails to fit each segment’s needs.
• Personalization: Personalize your emails. Something as simple as addressing the recipient by their first name can go a long way in improving engagement.
• Automate: Set up automated emails based on user behavior. For example, cart abandonment emails reminding users about their unfinished purchase.

Improving Social Media Advertising:

Social media is a great way to reach and engage with your audience. Here are some tips to improve your social media ads:

• A/B Testing: Test different versions of ads to see what works best.
• Retargeting: Use retargeting ads to reach people who have interacted with your brand before, either by visiting your website, using your app, or even visiting your physical store.
• Use Engaging Content: Use high-quality images and videos. Use user-generated content if possible.

Content Marketing:

Content marketing is another important component of a digital marketing strategy:

• Blog Posts: Regularly update your blog with relevant and useful content. This helps with SEO and provides value to your audience.
• Videos: Videos can be highly engaging and are preferred by some people over text. Consider creating video tutorials, product demonstrations, or customer testimonials.

Performance Tracking and Optimization:

Regularly check your analytics to see what’s working and what’s not. This includes website analytics, social media insights, and email marketing metrics. Use this data to continuously optimize your strategy.

Remember, digital marketing is not a one-size-fits-all solution. What works for one business might not work for another. It’s all about testing, learning, and adapting.