logo
Spotify's Audiobooks+ add-on is now available to some Premium subscribers

Spotify's Audiobooks+ add-on is now available to some Premium subscribers

Engadget3 days ago
It's likely that you predominantly associate Spotify with music and podcasts, but if you're a Premium member, you also get 15 hours of audiobook access per month. For some members, though, that clearly isn't enough, as Spotify has introduced a new add-on subscription that doubles that listening time.
Audiobooks+ was first trialled in Ireland and Canada, and is launching initially for Premium Individual and Plan members in a number of countries in Europe, as well as Australia and New Zealand. Once you've added it to your existing subscription, you'll get an additional 15 hours of listening to audiobooks included in Spotify's catalog , on top of what's already included in the base plan. For individuals, Spotify Premium on its own costs $12 per month.
For those on Premium Family ($20 per month) or Duo ($17 per month) plans, the plan manager has to purchase the add-on, and they're also able to buy a one-time top-up of 10 hours if they run out before their entitlement resets each month.
Spotify does already offer an Audiobooks Access plan to customers in the US only, which is separate from the Premium offering and also includes access to music and podcasts with ads.
Pricing for Audiobooks+ varies by market, but will cost £9 per month in the UK (around $12), where an individual Premium plan costs £12 (about $16). We'll find out what it costs here when it arrives in the US, which Spotify told Engadget will happen in the "coming weeks". If you buy something through a link in this article, we may earn commission.
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Move over premium bonds: here's how to earn passive income on the stock market
Move over premium bonds: here's how to earn passive income on the stock market

Yahoo

time6 hours ago

  • Yahoo

Move over premium bonds: here's how to earn passive income on the stock market

For years, premium bonds have been a popular choice for UK savers seeking minimal risk. However, the passive income available from high-yield dividend stocks should be so much more appealing. Here's why I think Britons need to look more carefully at investing, and put premium bonds to the back of their minds. Premium bonds currently offer an annual 'prize fund rate' of roughly 3.8%. This figure is not a guaranteed yield, as it reflects an average return based on luck in monthly draws. Importantly, most bondholders will earn less, and many never win at all. In contrast, several prominent UK stocks are delivering dividend yields that far exceed this rate. Stock Forward dividend yield (%) Legal & General 8.4% Phoenix Group 9% Lloyds 4.5% Greggs 3.9% Premium Bonds 3.8% (not guaranteed) While dividends are by no means guaranteed, these payments are arguably more predictable that the 'luck' of a premium bond prize. They are also typically paid biannually or quarterly, providing regular cash flow. The best FTSE income stocks are clearly outpacing premium bonds on yield. For those willing to accept modest stock market risk, dividends from companies like Legal & General or Phoenix Group can offer an inflation-beating source of passive income. And in the current market, I'd suggest it's entirely possible to create a portfolio of 10 stocks with an average yield of 6%. And the portfolio would be composed of dividend-paying stocks that appear sustainable. All these factors make me think premium bonds look less and less attractive by comparison. And it's even more compelling if an investor wishes to compound for wealth accumulation. For example, £10,000 would grow to £31,000 after 30 years in premium bonds, while that figure would be £60,000 in investments returning 6% per year. More seasoned investors averaging 12% per annum could turn £10,000 into £359,000. One investment to consider Yü Group (LSE:YU) is an AIM-listed stock that stands out for dividend investors. The forecast dividend yield is 4.6% and is expected to exceed 5% by 2027, based on strong projected increases in payouts — from 60p per share in 2024 to 95p by 2027. Buying Yü Group shares now would allow an investor to lock in today's attractive yield and benefit directly from anticipated dividend hikes over the coming years. A crucial strength is Yü's balance sheet. The group holds £80.2m in net cash, equivalent to 30% of its £273m market capitalisation. This significant cash buffer not only underpins dividend sustainability, but also signals further potential for increases, especially given a conservative payout ratio of about 33%. Moreover, the core business benefits from sector trends such as smart metering rollouts and demand for green energy. It's a licensed supplier of electricity, gas, and water to UK firms. A key risk to monitor is volatility in wholesale energy prices, which, despite effective hedging, could impact long-term margins. Still, the company's earnings strength and balance sheet resilience make its rising dividends especially compelling for long-term investors. I've got it on my watchlist. It may be worth broader consideration. The post Move over premium bonds: here's how to earn passive income on the stock market appeared first on The Motley Fool UK. More reading 5 Stocks For Trying To Build Wealth After 50 One Top Growth Stock from the Motley Fool James Fox has positions in Lloyds Banking Group Plc. The Motley Fool UK has recommended Greggs Plc and Lloyds Banking Group Plc. Views expressed on the companies mentioned in this article are those of the writer and therefore may differ from the official recommendations we make in our subscription services such as Share Advisor, Hidden Winners and Pro. Here at The Motley Fool we believe that considering a diverse range of insights makes us better investors. Motley Fool UK 2025 Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Integrating AI in Mobile App Development- Enhancing User Interaction and Business Intelligence
Integrating AI in Mobile App Development- Enhancing User Interaction and Business Intelligence

Time Business News

timea day ago

  • Time Business News

Integrating AI in Mobile App Development- Enhancing User Interaction and Business Intelligence

As technology rapidly evolves, artificial intelligence (AI) is emerging as a key driver of transformation in the mobile app landscape. No longer limited to futuristic or enterprise-scale applications, AI has become a mainstream ingredient in everyday mobile apps, enhancing user experience and enabling businesses to make smarter decisions. From personalized recommendations and intelligent assistants to predictive analytics and automation, AI is reshaping how mobile apps function and deliver value. For businesses, integrating AI into mobile applications is not simply about keeping pace with trends—it's about creating smarter, more responsive digital products that improve user engagement, reduce operational inefficiencies, and uncover valuable insights. This article explores how AI is enhancing user interaction and empowering business intelligence in mobile apps, and what companies should consider when implementing it. Understanding AI in the Context of Mobile Apps Artificial Intelligence in mobile apps refers to the use of machine learning (ML), natural language processing (NLP), computer vision, and predictive analytics to simulate human intelligence and decision-making. These capabilities enable apps to not only react to user input but also learn, adapt, and anticipate behavior. Unlike traditional rule-based systems, AI-enabled apps continuously refine their performance by analyzing data patterns. This dynamic approach allows developers to create intuitive, personalized, and efficient user experiences that can adjust over time. Enhancing User Interaction through AI One of the most powerful advantages of AI in mobile apps is its ability to personalize and streamline the way users interact with technology. Here are some of the key ways AI is transforming user experience: 1. Personalized Content and Recommendations AI algorithms analyze user behavior, preferences, and context to deliver highly personalized content. Whether it's product recommendations in a shopping app, music playlists in a streaming platform, or suggested news articles, AI ensures that users see what matters most to them. This personalization fosters stronger engagement and higher retention, as users feel the app 'understands' them. Netflix, Amazon, and Spotify are leaders in this space, but even smaller apps can leverage recommendation engines using AI toolkits like TensorFlow Lite or Core ML. 2. Voice Assistants and Conversational Interfaces AI-powered voice assistants such as Siri, Alexa, and Google Assistant have redefined user interfaces. Now, many apps incorporate conversational AI to allow users to interact using natural language, both spoken and written. Through NLP, apps can interpret complex queries, understand intent, and respond meaningfully. This makes tasks like booking appointments, setting reminders, or searching for information faster and more intuitive. 3. Image and Facial Recognition AI enables apps to interpret and respond to visual data using computer vision. Apps like Snapchat and Instagram use facial recognition for filters and AR effects, while banking apps use it for biometric authentication. In healthcare, AI-powered mobile apps analyze images to identify skin conditions, while retail apps allow customers to visualize products in their homes using augmented reality. 4. Predictive Text and Smart Keyboards AI improves typing efficiency through predictive text, autocorrect, and context-aware suggestions. These features rely on real-time learning models that adapt to a user's language style, commonly used phrases, and typing habits, creating a smoother communication experience. 5. Emotion and Sentiment Analysis Advanced AI models can interpret emotions in text or speech, helping apps deliver empathetic responses or tailor interactions accordingly. For example, customer support chatbots can adjust their tone based on a user's frustration level, offering human escalation when needed. Driving Business Intelligence through AI Integration Beyond enhancing the front-end user experience, AI plays a crucial role behind the scenes by transforming mobile apps into powerful tools for data-driven decision-making. Here's how: 1. Predictive Analytics AI can analyze large volumes of user data to predict future behavior. For example, an e-commerce app might use predictive analytics to identify which users are likely to churn, what products will be in demand, or when a customer is likely to make a purchase. This insight enables businesses to act proactively—sending targeted offers, optimizing inventory, or tailoring messaging to improve conversion rates. 2. Customer Segmentation Instead of relying on static demographic segments, AI enables dynamic segmentation based on behavior, preferences, and engagement levels. This allows businesses to tailor content, push notifications, and campaigns more precisely, improving ROI and user satisfaction. 3. Fraud Detection and Security AI models can identify unusual behavior or transactions that may indicate fraud. For mobile banking or financial apps, this provides an added layer of real-time security by flagging anomalies and responding immediately—protecting users and reducing financial risk. 4. Automated Insights and Reporting AI can automate the generation of performance insights from user data, usage patterns, or campaign metrics. These insights are presented in digestible dashboards, helping business stakeholders make faster and more informed decisions without manual analysis. 5. Process Automation Mobile apps integrated with AI can automate repetitive or manual tasks, such as processing invoices, verifying documents, or routing customer service tickets. This not only saves time but also minimizes human error. Use Cases Across Industries AI is not limited to any single industry—it is reshaping mobile apps across domains: Retail & E-Commerce In the retail and e-commerce industry, AI is revolutionizing the mobile app experience by offering deeply personalized shopping journeys. Through algorithms that analyze user behavior, preferences, and past purchases, AI can recommend products that are more likely to resonate with each individual customer. Intelligent search capabilities, powered by natural language processing, help users find items even when queries are vague or imprecise. Healthcare In healthcare, AI integration within mobile app development is drastically improving the way patients access and manage medical services. One of the most impactful applications is symptom checking, where AI-powered engines can analyze user input and compare it to vast medical databases to provide preliminary assessments. These tools guide users toward appropriate care, potentially reducing unnecessary doctor visits while ensuring urgent cases receive attention. Finance AI is playing a transformative role in the financial services sector, particularly through its integration into mobile app development. One prominent application is the use of virtual financial assistants, which leverage natural language processing to help users manage budgets, track spending, and answer complex financial queries in a conversational manner. Travel The travel industry is leveraging AI within mobile app development to provide smarter, more personalized experiences for users across every stage of the journey. One of the most visible uses is in itinerary creation, where AI analyzes user preferences, budget, travel history, and real-time data to recommend tailored travel plans. Education In education, AI is redefining how students learn and interact with content through mobile app development. Adaptive learning platforms use AI to customize the educational experience based on a student's performance, learning style, and pace. These platforms adjust difficulty levels and recommend resources dynamically, ensuring that each learner receives a personalized curriculum. Considerations When Integrating AI into Mobile Apps While the benefits of AI are clear, successful integration requires strategic planning and a clear understanding of technical and ethical considerations. 1. Data Availability and Quality AI models are only as good as the data they are trained on. Ensure your app collects clean, relevant, and well-structured data. Poor data quality leads to inaccurate predictions and diminished user trust. 2. Model Selection and Training Choose models appropriate for your app's goals—whether supervised, unsupervised, or reinforcement learning. Pre-trained models can accelerate development, but custom training may be necessary for domain-specific needs. 3. Privacy and Compliance AI often requires access to sensitive data. Implement transparent privacy policies, opt-in mechanisms, and comply with regulations like GDPR, HIPAA, or CCPA. Consider using on-device AI processing to reduce cloud dependency and enhance user privacy. 4. Performance Optimization AI models can be resource-intensive. Optimize for mobile by using lightweight models, pruning techniques, or edge AI frameworks. Laggy AI features defeat the purpose of improving user experience. 5. Continuous Improvement AI is not a 'set-and-forget' solution. Regularly retrain models with new data, monitor performance, and update features based on user feedback. Use A/B testing to validate changes and fine-tune algorithms over time. The Future of AI in Mobile Apps As AI technologies continue to mature, their presence in mobile apps will become deeper and more sophisticated. Future developments include: Federated Learning: Enables devices to collaboratively learn a shared model without sharing data, preserving user privacy. Enables devices to collaboratively learn a shared model without sharing data, preserving user privacy. Context-Aware AI: Apps will become more sensitive to real-time context such as location, mood, or environment, allowing ultra-personalized experiences. Apps will become more sensitive to real-time context such as location, mood, or environment, allowing ultra-personalized experiences. AI-Driven Design: AI tools will assist developers in building interfaces, predicting user flow issues, and automating quality assurance testing. AI tools will assist developers in building interfaces, predicting user flow issues, and automating quality assurance testing. Natural Language Generation (NLG): Apps will increasingly generate dynamic content like product descriptions or chat replies using human-like language. Businesses that stay ahead of these trends will not only meet user expectations but exceed them—gaining competitive advantage and building stronger digital brands. Conclusion: AI as a Strategic Asset in Mobile App Development Integrating AI into mobile apps is no longer a novelty—it's a necessity for businesses seeking to deliver impactful, intelligent, and efficient user experiences. From enhancing interaction through personalization, voice, and vision to driving strategic insights through predictive analytics and automation, AI enriches mobile apps in multifaceted ways. The key to successful AI integration lies in aligning technical capabilities with real user needs and business objectives. By thoughtfully embedding AI into the mobile app ecosystem, businesses can build products that are not only smarter but more human—bridging the gap between technology and everyday life. TIME BUSINESS NEWS

After ditching Spotify for a week, I now understand why readers love YouTube Music
After ditching Spotify for a week, I now understand why readers love YouTube Music

Android Authority

timea day ago

  • Android Authority

After ditching Spotify for a week, I now understand why readers love YouTube Music

Andy Walker / Android Authority A few weeks ago, I ran an Open Thread asking readers why they prefer using YouTube Music over many available alternatives, including my service of choice, Spotify. It would be an understatement to say that it received a flurry of comments and strong opinions from our community questioning my views. With just under 400 replies at the time of this writing, not to mention the big win for Google's streaming service in the accompanying poll, it's clear that I was perhaps missing a trick by siding with Spotify. So, as I enjoy reevaluating my opinions, I once again signed up for YouTube Music to see what the fuss is all about. A little over a week later, I'm thoroughly impressed by the strides made by Google's offering. I was a happy Google Play Music user for many years, and regularly defended the service when people recommended alternatives. But when Google announced the end of the service in 2021, I was left disillusioned by its replacement. In its early days, YouTube Music was unintuitive and leaned too heavily on its video-hosting namesake. It often pushed video when I wanted an audio-first service. It was also heavily influenced by my YouTube browsing and viewing habits, and was astonishingly slow in operation. In short, it sucked, and I quickly jumped ship to Spotify. Which is the best music streaming service? 0 votes YouTube Music. NaN % Spotify. NaN % Neither (mention your preference in the comments). NaN % I don't use a music streaming service. NaN % The green team is where I still find myself now, and I've been pretty comfortable with it ever since. The Duo plan allows my partner and me to have separate and combined playlists, and collaborate in real-time via Spotify Jam if needed. I also appreciate Spotify's recommendations and the ease of finding new artists. It fits into my life perfectly. A surprisingly positive return Andy Walker / Android Authority So when I returned to YouTube Music earlier this month, the experience was a shock to my system. A wave of nostalgia hit me as I reencountered some treasured playlists I thought I had lost, from the pop-heavy Turbulence reel for managing my anxiety in the air to Sunny Days, a curated list of tracks that feel like a cool summer morning. From a more objective lens, the app has changed so much since its early days. A tighter, cleaner UI greeted me, frontloaded with playlists I've made or artists and albums I'd always tend to pick first. There's an angle towards content already discovered, which was a refreshing change from Spotify, where my mission was always to find new songs, genres, albums, and slot these into carefully designed playlists. There's something comforting about using Google's product, something functional and purposeful. I'll admit that because of this approach, Spotify can sometimes feel scattered. While YouTube Music keeps new content and known or saved music largely contained within distinct tabs or sensible filters, Spotify lays these cards out everywhere on the home screen. At least this is what it feels like visually. I can't say that I prefer either layout, but I will say YouTube's makes better use of its screen space in almost all areas. YouTube Music promotes content already discovered, which was a refreshing change from Spotify's constant new content push. What about the experience of playing music? I quickly realized why many people like the service, especially those who love deep cuts. Songs that I couldn't find on Spotify, I found here, which usually took the form of a video from YouTube. This included many long-lost EDM remixes from the 2011-2012 era, like Vicetone's remix of Zedd's Clarity. Leveraging the music service gives YouTube Music a huge content discovery advantage, and the option for users to upload their content to the service, even if it's a bit of a schlep to do it via the website, makes it incredibly valuable for those who want to carry their bespoke content selections around with them. Andy Walker / Android Authority Dare I say, I like YouTube Music's Explore tab far more than Spotify's Search tab, even if both act as portals into new content. While Spotify opts for a genre-categorized layout with themed collections above, YouTube Music tempts me with its more analytical system, which includes new releases from artists I already follow and a breakdown of top tracks in my country. Again, Google's service makes far better use of the available space on this tab, switching between recommendations and genuine trending content. This perhaps surprised me the most during my experiment. I have always regarded Spotify as the best of the two for naturally discovering new music, and, for the most part, I feel that the Swedish app offers a better hands-off experience in this regard. But if you're the type to flip through vinyls on a Saturday morning slowly, I can appreciate YouTube Music's charm here. In the four years since I last used YouTube Music, I'm surprised by how many elements Google has polished. My partner also mentioned another important point: some artists still boycott Spotify. She was delighted to participate in this experiment, as Spotify does not host Joanna Newsom's music, while YouTube does. That's essential if you're a fan of more obscure or opinionated artists who don't appreciate the latter's financial model. All in all, YouTube Music has a lot going for it. In the four years since I last used the service, I'm surprised by how many elements Google has polished. However, this is a Google product after all, and some quirks largely ruin its otherwise positive glow. Google still has work to do Andy Walker / Android Authority Remember when I said that YouTube Music uses its namesake to increase its music availability? Well, this does have some side effects. I can't help but notice YouTube Music listing a video playlist of CART/Champ Car races stretching from 1979 to 2007. No tracks are found in this playlist, even though the engine sounds could be considered music to some. So why is a video playlist in my music streaming app? This was one of the core reasons I left YouTube Music in the early 2020s, and it seems that Google still hasn't quite drawn a line between playlists on the two services. There are some other odd additions that I wish Google would reconsider. While the Comments feature is excellent in theory, usually remarks left by users offer no insight related to the track itself. It feels like a YouTube comment section, which isn't a good look. I'm not a fan of YouTube Music's Samples tab, either. While Spotify is also slowly trending towards music videos, it's far less intrusive. Dedicating an entire tab for music videos on an audio streaming platform feels counterintuitive. There are some annoyances YouTube Music still haven't shaken, and its silly promotion of video is one of them. But let's come back to Spotify. There are a handful of features that still sell the service to me. As I mentioned earlier, Spotify Jam is essential in my daily life. My partner and I often listen to music while doing chores, cooking, or driving. So, having an option to add individual songs to a playlist queue seamlessly is invaluable. More importantly, the feature has also rolled out to Android Auto, which makes road trips far more enjoyable and easier to manage. YouTube Music offers no equivalent. Then there's Spotify's advanced search chops. For a search giant, Google sure doesn't know how to implement smart search in its products. I can search for artist releases in a specific year using syntax in Spotify. YouTube Music does not. Of course, Spotify Connect is another indispensable feature I use daily on my PS4. I can control music on my phone while enjoying both game audio and my Spotify playlist, and then seamlessly jump that music over to my Nest Mini when I put the controller down. YouTube Music doesn't have this option, so it's either game chat or music for me. I'm sticking with Spotify… for now Andy Walker / Android Authority Although many readers thought I was biased against YouTube Music, I went into this experiment with an open mind. Google's service has genuinely impressed me with its clean UI, innovative use of space, far broader library, and focus on hands-on discovery. However, some of the annoyances that initially turned me off the service still exist today. There are other practical problems that I haven't yet mentioned, one of which is price. YouTube Music doesn't have a Duo equivalent, so I need to buy the whole Family package to share the service with my partner. Although only marginally more expensive than Spotify Duo, this is still a waste of money. YouTube Music may make a fan out of me in the future, but Spotify is a better fit... for now. Of course, Spotify wins on other fronts. As mentioned, Jam and Connect are two unique features that YouTube Music has yet to rival despite Google's expertise in the smart home and service space. The Swedish service is also more broadly available and compatible with the devices I already use and own, while it also offers best-fit plans for my lifestyle. This isn't to say that YouTube Music is trash. I'll give Google its deserved plaudits: it's an excellent music streaming platform, but it's the small things that Spotify offers that I've grown accustomed to and that I can't quite live without. Nevertheless, I can now understand why YouTube Music has plenty of fans, even if it still falls slightly short for me.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store