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QCODE has announced the release date of their all-new fantasy epic podcast series Birds of Empire. I received an early release of episode one, and it’s an amazing audio experience that’s worth sitting in a comfy chair, pouring a cup of coffee, closing your eyes, and letting your imagination transfer your mind to another world. It’s unlike any audiobook or podcast you’ve experienced thus far.
The upcoming series from the writer and producer Jason Lew (HBO’s Insecure) is being described as a “modern folk-epic in the vein of Game of Thrones that blends history, fantasy, and myth.” According to QCODE, it’s the company’s biggest release so far. The series features eight episodes that each run about 45 minutes in length.
If I were to describe it in a single sentence, I would say it’s on par with the first time I watched the Lord of the Rings in the theater, but in a cinematic audio experience. When paired with quality headphones (I used the new AirPods Pro), it’s a completely immersive experience. The show is set in New Dakota, but it’s 15,000 CE, and it’s been thousands of years since the fall of civilization.
The Earth has reclaimed the cities and glories of the modern world, reducing humankind to prehistoric tribal life. The old world is known only through myths and fables handed down through lost generations. Having barely survived, humanity has returned to a way of life more closely resembling civilizations of the ancient past: The Bears, The Rams, The Birds, and The Wolves.
Book 1 — The Dawn Age serves as an introduction to each of the four young people from the clans as we see the rise of the first empire of the new Earth. The first season (Book 1) includes 8 episodes — four full cast episodes with each focusing on one of the clans and in between each one there are four “Legends and Lore” episodes which give more of the history of the world from the perspective of the storyteller character (The Keeper).
The cast of the Birds of Empire is led by Bianca Norwood (We Crashed), Jorge Diaz (American Carnage), Jacques Colimon (The Society), Michelle C. Bonilla (911: Lonestar), and Ashley Romans (Y: The Last Man). The show will be QCODE’s first attempt at the world of immersive fantasy storytelling. In addition, the QCODE Sound design team partnered with Randy Torres, who has previously worked on projects such as Tenet, Interstellar, and Dunkirk. Book 1 is mixed in spatial audio with DOLBY ATMOS for an incredible experience.
The series is set to arrive on Apple Podcasts (with a QCode+ option), Spotify, Overcast, or wherever podcasts are available on November 28. As someone who’s already experienced (yes, experienced is the only word to describe it), it’s set to be one of the most-listened-to podcasts of the holiday season.9to5Mac’s take on audio experience on Apple devices
As someone who’s been listening to audiobooks for 20+ years, I am so happy to see the continued rise of dramatic storytelling for audio-only experiences. I love letting my mind transport me into another world as I close my eyes. From an accessibility perspective, it allows people who cannot enjoy the normal cinematic experience an option to immerse themselves in another world. If Birds of Empire of any indication of what’s to come from audio-based storytelling, the future is bright. QCODE has over two dozen shows mastered in Dolby ATMOS and ready for distribution as soon as that technology is supported by the various podcast platforms.
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After announcing its 2023 App Store Awards including the Podcast of the Year, Apple shared eight new Podcast charts for 2023 including the top shows of the year, top new shows, top shared shows, and top free channels.
Apple shared the new year-end charts in its Podcasts app.
“These year-end charts are available to listeners in nearly 100 countries and regions and reflect the most popular podcasts in each local market. This means listeners in the U.S. can browse the Top New Shows among listeners in the U.S. while listeners in France can browse the Top New Shows among listeners in France — helping people discover popular podcasts that are relevant to them and in their local language.”Apple Podcasts 2023 top charts
Apple also shared highlights from the US top charts:
Audiochuck is the most popular podcaster in the country. The Indianapolis-based network founded by Ashley Flowers is the Top Free Channel for the second consecutive year. Its flagship show, Crime Junkie, is the Top Show, Most Followed Show, and Top Shared Show in the U.S. One of the company’s newest series, The Deck, is the Top New Show and among the top five Top Followed Shows in the U.S.
The New York Times represents the most podcasts in Top Shows of 2023 with The Daily (#2), This American Life (#6), and Serial (#8). The New York Times is also the second Top Free Channel for the second consecutive year. The Trojan Horse Affair is also one of the Top New Shows (#4).
The majority of podcasts included in Top Shows of 2023 are at least five years old.
Wondery continues to be the most popular podcast subscription with the Top Subscriber Channel since the subscriber charts launched this summer. Wondery also distributes 16 of the 20 Top Subscriber Shows.
All Top Subscriber Shows are broadly distributed and have free, ad-supported episodes, meaning creators do not face a trade-off between reach and revenue with Apple Podcasts and subscriptions.
Serial’s “Adnan Is Out” (S01, E13) is the Top Shared Episode of the year in the U.S. “The Alibi” (S01, E01) is the third Top Shared Episode of the Year in the U.S. Serial remained one of the most followed and shared shows of the year.
Listeners use and share podcasts to help navigate complex subjects and situations, according to the titles of the Top Shared Episodes. Sounds obvious, but the data is illuminating. Topics include “What Alcohol Does to Your Body, Brain & Health,” (Huberman Lab), “Inside the Adolescent Mental Health Crisis” (The Daily), “We Need to Talk About Covid” (The Daily), “How to Raise Untamed Kids” (We Can Do Hard Things), “The Rise of Workplace Surveillance” (The Daily), “Tools for Optimizing Sleep” (Huberman Lab), “Eating Ourselves to Death” (Honestly with Bari Weiss), and “Grateful for Grief” (All There Is with Anderson Cooper).
Podcasts 2023 Charts – US
Top Shows of 2023
Top New Shows of 2023
Top Subscriber Shows of 2023
Top Followed Shows of 2023
Top Shared Shows of 2023
Top Shared Episodes of 2023
Top Subscriber Channels of 2023
Top Free Channels of 2023
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Podcasts have officially been around since 2003, but in the past few years, the medium has gone mainstream. It seems like every hit TV show has a podcast to go along with it. Topics that used to be niche can now have a global following. Regardless if a show is done by a mainstream media company or a one-person operation, anyone can have a podcast. There has been a lot of talk about Apple investing in original podcast content. Still, I think there is another way Apple could invest in the podcast industry: Building out the tools to enable business customers to use Apple Podcasts as a corporate training tool.Why Apple Podcasts as a corporate training tool?
Podcasting would be an ideal tool to deliver corporate training on all sorts of topics. Companies could publish podcasts on various topics (sales, marketing, HR, safety, etc.), and then employees could listen at their convenience. It would be great for new employees as they could be given access to the corporate podcast feeds. It would take a lot less time than sitting in meeting rooms staring at PowerPoint slides. A company could record the training once, and then use it for new employees, retraining, etc.How do you secure corporate podcast content?
There are many options that Apple could build out for enterprise customers who want to deliver corporate training on Apple Podcasts.MDM Profile
One option would be that the RSS feed would be delivered into Apple Podcasts from a mobile device management system profile like a solution like Jamf could deliver. Apple could build out APIs to allow companies to control the content release schedule, content included, and who can access it. If Apple didn’t want to be in the business of actually hosting the RSS feeds, they could allow MDM vendors to host audio, generate the podcast feeds, and control the schedule.Add username/password support to Apple Podcasts
While apps like Overcast and Castro have had support for signing into a protected feed for some time, Apple has yet to add support for it in Apple Podcasts. If Apple built out a solution in Apple Podcasts Connect (Podcast Training) that would connect to Apple Business Manager to authenticate, companies would know that only authorized users would have access to their training content.What would a Podcast Training feature in Apple Podcasts Connect offer?
In my thinking about this solution, it would be a turn-key experience. Apple should build a native macOS and iOS recording solution that would automatically upload files to the training system. A company representative could then log in to the web solution, create new shows, schedule a content drip schedule, etc. Another way to extend it would be to allow for simple quizzes at the end of a podcast series to test how well an employee understood the content. Employees could then listen on their Mac, iPhone, iPad, or even Apple Watch.Wrap up on Apple Podcasts as a corporate training tool
I love consuming content from a podcast feed. As we’ve seen the growth of audio storytelling using Apple Podcasts, it’s clear that the mass market is comfortable to subscribe to and listen to content on the go. I think that if Apple invested in corporate training infrastructure, it could be a big hit with employees, but save corporates a considerable amount of time and resources with the delivery of training.
What do you think? Would you like your company to deliver training using Apple Podcasts?
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Podcasting has become a mainstream media, well almost. Major news outlets like CNN and PBS use it, not mention the countless niche shows out there that cover technology news and your favorite sports team. You can find almost anything if you search around. Apple does a great job of managing with iTunes, but that is of little use to Android customers.
Fortunately there are apps available for Android, and my favorite is BeyondPod, which works in conjunction with Feedly to help you manage your shows.
At the time BeyondPod got started, it used a little known feature called Google Listen, which added a section to Reader where the podcasts you subscribe to resided. But that died along with the RSS program, leaving BeyondPod to scurry for a solution. The developers settled on that same Listen folder, but moved it to Feedly.
That is all very easy, but getting your subscriptions into the Android mobile app is perhaps a bit more confusing than it needs to be. First of course, you will need to head to the Google Play store and grab BeyondPod. You also may wish to purchase the unlock key for certain features. You must first install the app, before buying and installing the key. There are separate phone tablet versions of the app, but one key will work for both.
Open the app and tap the settings button, which is three vertical dots at the top right of the screen. Choose “More” and then select “Import or Export Feeds and tap “Import from Feedly”.
This will bring up a list of all of your Feedly folders. Look for the one marked “Listen Subscriptions” and tap to select it. This results in a list of all RSS feeds contained within the folder. You will now be able to tap on each show you want on your device, and choose categories for them, such as sports or technology. To setup categories, return to the main screen and, once again tap the menu button, followed by “More” and then “Manage Categories”.
There are also numerous settings to choose from – you can set the skip interval, set auto-delete for listened to episodes, enable auto-updating, and more. Drilling down into some of these sections can reveal even more choices, enough to be overwhelming, in fact.Conclusion
There are several popular podcast clients in the Google Play store, and I can’t pretend to speak for the competition, as I chose BeyondPod when I got rid of my last dedicated MP3 player. However, being able to easily add new feeds from my computer and have them show up on my phone and tablet is a big factor in why I think BeyondPod is the way to go.
Alan is an avid fan of all things technology, including Microsoft, Android, Google, and more. When not writing about or using gadgets and software, he can be found on the trails hiking or mountain biking.
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While ChatGPT has gained popularity and recognition, it is important to note that it is not possible to directly buy ChatGPT stock. OpenAI, the company behind ChatGPT, is not publicly traded. As a privately-held company, OpenAI has not made its stock available for public investment.
Also Check: AI Companies to Invest In: A Guide for Investors
ChatGPT’s impressive performance and potential impact on investment decisions make it an intriguing prospect for investors. Recent studies have shown that ChatGPT outperforms some of the most popular investment funds in the United Kingdom. The ability of ChatGPT to guide the decisions of retail investors is significant, offering a unique and valuable tool in the investment landscape.
OpenAI, the creator of ChatGPT, has experienced significant growth and investment in recent years. The company’s current market value is estimated to be around $29 billion. In January 2023, OpenAI attracted a $10 billion investment from Microsoft, further validating the potential of ChatGPT and AI technology.
OpenAI’s valuation has more than doubled since 2023 when it was valued at approximately $14 billion. In April 2023, OpenAI completed a $300 million share sale, further cementing its position in the AI market. The substantial investments and increasing market value of OpenAI demonstrate the confidence and interest from industry leaders in the potential of AI technology.
Must See: How to invest in ChatGPT
Microsoft is one of the key investors in OpenAI and has made substantial commitments to the company. Microsoft’s increased stake in OpenAI reflects its ambition to compete with Google-parent Alphabet in the fields of internet search and office productivity tools. By investing in OpenAI, Microsoft aims to leverage AI technology to enhance its products and services, positioning itself at the forefront of innovation in the industry.
The growing interest in AI and its potential applications have led to significant implications for the stock market. Here are a few key points to consider:
Must See: How to make money with ChatGPT in 2023 for beginners
AI-powered Trading: AI algorithms are increasingly being used in trading and investment strategies. These algorithms analyze vast amounts of data, identify patterns, and execute trades with high speed and accuracy. AI’s ability to process and interpret large datasets can potentially lead to improved investment decisions and enhanced trading strategies.
Automation and Efficiency: AI technology has the potential to automate various tasks involved in stock trading and portfolio management. This can lead to increased operational efficiency, reduced costs, and improved decision-making processes. Automated trading systems powered by AI can execute trades based on predefined rules and algorithms, eliminating human bias and emotions from the equation.
Data Analysis and Insights: AI can analyze vast amounts of financial data, news articles, social media sentiment, and other relevant information to generate insights and predictions about market trends. This data-driven approach can help investors make more informed decisions and identify potential investment opportunities.
Risk Management: AI algorithms can assess and manage risks in real-time by continuously monitoring market conditions, identifying potential risks, and suggesting appropriate risk mitigation strategies. This can be particularly useful in volatile market conditions where quick decision-making is crucial.
Enhanced Investor Tools: AI-powered tools and platforms can provide individual investors with access to sophisticated investment strategies and insights that were previously only available to institutional investors. This democratization of investment knowledge can empower retail investors and level the playing field in the stock market.
Regulatory Considerations: The increasing use of AI in the stock market raises regulatory considerations and challenges. Regulators need to ensure fairness, transparency, and accountability in AI-driven trading systems to maintain market integrity and protect investors’ interests.
High-Frequency Trading: AI’s speed and ability to process large volumes of data in real-time have given rise to high-frequency trading (HFT) strategies. HFT firms leverage AI algorithms to make split-second trading decisions and execute large numbers of trades within milliseconds. This has led to increased liquidity and trading volumes in the stock market.
Market Manipulation and Surveillance: The use of AI in trading also raises concerns about market manipulation. AI algorithms can be programmed to exploit market inefficiencies or engage in illegal activities. As a result, regulators and exchanges are increasingly using AI-based surveillance systems to monitor trading activities and identify potential instances of manipulation.
Volatility and Flash Crashes: The speed and interconnectedness of AI-powered trading systems can amplify market volatility and contribute to flash crashes. In some cases, AI algorithms may exacerbate market downturns or create sudden spikes in trading activity. This highlights the need for effective risk management and safeguards to prevent market disruptions.
Algorithmic Trading Strategies: AI algorithms can analyze historical market data and identify patterns or correlations that humans may overlook. This enables the development of complex trading strategies based on mathematical models and statistical analysis. These algorithmic trading strategies can be used to execute trades automatically based on predefined rules, minimizing human intervention.
Sentiment Analysis: AI can analyze vast amounts of textual data, including news articles, social media posts, and earnings reports, to gauge market sentiment. By understanding public sentiment, AI algorithms can potentially predict market reactions to specific events or news. This information can be valuable for traders and investors in making informed decisions.
Portfolio Optimization: AI algorithms can help optimize investment portfolios by considering various factors such as risk tolerance, diversification, and expected returns. By leveraging AI’s analytical capabilities, investors can construct portfolios that align with their specific investment goals and preferences.
In summary, AI has the potential to revolutionize the stock market by enhancing trading strategies, automating processes, providing data-driven insights, and improving risk management. While there are significant benefits, it’s important to be mindful of the potential risks and regulatory considerations associated with the increasing use of AI in the financial industry.
IoT is often viewed as the new enormous modern upset after the Internet. Notwithstanding connecting machines with machines and with individuals, it is likewise promoting an upgraded feeling of attention to our environment. From washing machines to coffee makers, everything would now be able to be connected and controlled. It doesn’t come as unexpected that spending on IoT around the world across business sectors is anticipated to ascend from $737 billion of 2023 to an incredible $1.29 trillion by 2023. Machine learning matched with complex AI algorithms hold the capacity to totally change the intents and purposes of any industry. Most definitely, the insurance industry isn’t a special case. Since its beginning, the insurance business has been fueled by science and maths; initially just a financier could ascertain solid risk rates and offer adequate payouts that would not close down the insurance agency. With the development of AI, it is conceivable to utilize it to repeatable operations that depend on rationale and mathematics at a higher authenticity quality rate than that done by people. Insurance officials must comprehend the components that will add to this change and how AI will reshape claims, distribution, and endorsing and costing. With this understanding, they can begin to fabricate the skills and abilities, take hold of the developing technologies, and make the way of life and point of view needed to be fruitful players in the insurance business of the future. AI and IoT are already shaping the insurance industry. Let’s look at how AI and IoT will help shape theData Explosion from Connected Devices
In industrial settings, tools with sensors have been omnipresent for quite a while, yet the coming years will see an enormous increment in the number of connected consumer devices. The infiltration of existing gadgets, for example, vehicles, fitness trackers, home assistants, cell phones, and smartwatches will keep on expanding quickly, joined by new, developing classifications, for example, apparel, eyewear, home appliances, medical gadgets, and shoes. The subsequent torrential slide of new data made by these gadgets will enable bearers to comprehend their customers all the more deeply, bringing about new product classifications, more customized pricing, and growingly real-time service delivery.Risk Assessment and Big Data
Most of the leading insurance agencies are blending their data analytics algorithms with probably the most recent AI innovation so as to enhance the precision of risk calculations. The explanation behind this is that insurance agencies need huge amounts of information so as to enhance their appreciation of customer hazard.Physical Robots Developments in Cognitive Technology Digital Transformations
The power that AI processing will pick up specifically relies upon the size and the nature of data that is accessible to it. Basically, the more data AI has about its clients, the better rate it can offer; it won’t be restricted to giving you the best sort of inclusion, however, it will likewise have the capacity to give you a superior cost. By connecting with sensors and IoT gadgets, policies may change in real-time by adapting increasingly around an enrollee’s conduct and risk profile.
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