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Predictive AI is Still the Mainstay, Even Though Generative AI is Becoming More Popular

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Predictive AI is Still the Mainstay, Even Though Generative AI is Becoming More Popular

The implementation of completely new procedures and infrastructure is not necessary for generative AI.

Enterprise CEOs and boards of directors have made generative artificial intelligence (genAI) a top focus since the introduction of ChatGPT in November 2022. For example, according to a PwC survey, 84% of CIOs anticipate using genAI in 2024 to support a new business model. Without a question, genAI is a truly revolutionary technological advancement. However, it’s also critical to keep in mind that this is only one type of AI and that not all use cases will benefit from its utilization.

The definition of artificial intelligence evolves with time. A program that played tic tac toe would have been considered a form of artificial intelligence fifty years ago; not so much these days. However, the history of AI can be broadly divided into three groups.

Conventional Analytics: For the past forty years, businesses have employed analytical business intelligence (BI). However, as technology has evolved and grown more complex, the term “BI” has been replaced with “analytics.” In general, analytics uses historical data to uncover insights about past events.

Predictive artificial intelligence (AI) is a forward-thinking technology that uses historical data analysis to identify patterns that may be applied to the present to produce precise future projections.

Generative AI: GenAI examines text, photos, audio, and video content to create new content based on user requirements.

“We work with a lot of chief data and artificial intelligence officers (CAIOs),” said Thomas Robinson, COO at Domino, “and, at most, they see generative AI accounting for 15% of use cases and models. Predictive AI is still the workhorse in model-driven businesses, and future models are likely to combine predictive and generative AI.”

Predictive and generative AI are actually already being used in tandem in certain use cases. For example, reports on preliminary diagnoses can be generated by studying radiological pictures, or reports on stocks that are expected to rise in the near future can be produced by mining stock data. This means that companies will require a shared platform for creating fully functional AI, according to CIOs and CTOs.

Every kind of AI has its own stack and is not treated as such in complete AI development and deployment. It’s true that genAI might need a little more power from some GPUs, and networking might need to be strengthened for better performance in some parts of the system, but constructing a new stack from the ground up isn’t necessary unless a company is operating a genuinely massive genAI deployment on the order of Microsoft or Meta.

Additionally, testing and governance procedures don’t have to be entirely redesigned. Predictive AI-powered mortgage risk models, for instance, need to undergo extensive testing, validation, and ongoing oversight, much as genAI’s large language models (LLMs). Once more, there are distinctions, like the well-known issue with “hallucinations” with genAI. However, risk management procedures for genAI will typically resemble those for predictive AI.

One in five Fortune 100 firms rely on Domino’s Enterprise AI platform to handle AI tools, data, training, and deployment. Teams working on MLOps and AI can use this platform to manage all aspects of AI, including generative and predictive AI, from a single control center. Organizations may enable full AI development, deployment, and management by consolidating MLOps under a single platform.

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Google experiments with Android tablets’ desktop windowing

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Google is testing a new feature for Android tablets that would allow you to easily rearrange apps on your screen and resize them, which will facilitate multitasking. Developer previews of the “desktop windowing” functionality are now accessible, and you can even run multiple instances of the app simultaneously if they support it.

At the moment, Android tablet apps always open in full screen mode. Each program will show up in a window with controls to let you move, maximize, or close it when the new mode is enabled. Moreover, your open programs will be listed in a taskbar at the bottom of the screen.

It sounds a lot like Stage Manager for the iPad, which allows you to do the same with windows on your screen, or with almost any desktop operating system. For years, Samsung has also provided its DeX experience, which gives Android apps on Galaxy phones and tablets desktop-like window management.

When the functionality becomes available to all users, you may activate it by tapping and holding the window handle located at the top of an application’s screen. The shortcut meta key (Windows, Command, or Search) + Ctrl + Down can also be used to enter desktop mode if a keyboard is connected. (You can drag a window to the top of your screen to dismiss the mode, or you can close all of your open apps.)

Apps that are locked to portrait orientation can still be resized, according to Google, which could have odd visual effects if some apps aren’t optimized. Google intends to fix this in a later release, though, by scaling non-resizable apps’ user interfaces without changing their aspect ratios.

For the time being, users with the most recent Android 15 QPR1 Beta 2 for Pixel Tablets can access the developer preview.

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Sony Faces Backlash for Pricing PlayStation 5 Pro Well Above Xbox

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Sony Group Corp. has set the price of its new, faster PlayStation 5 Pro at $700, significantly higher than Microsoft’s Xbox Series X, which costs $600. The PlayStation 5 Pro, launching on November 7, comes at a $200 premium over the original PS5, suggesting Sony is targeting a loyal audience willing to pay extra for enhanced performance.

This pricing positions both Sony and Microsoft at the high end of the gaming console market. Four years into their product life cycles, the two most popular home consoles are moving towards premium models. Analysts are split on whether Sony’s pricing strategy will drive sales, especially as it seeks to grow its entertainment portfolio across gaming, anime, and film.

Industry analyst Serkan Toto described the PlayStation 5 Pro as a niche device aimed at hardcore PlayStation users, rather than a mass-market offering. “It’s about Sony skimming the absolute top end of the market,” he said, with the gaming world questioning Sony’s high pricing.

Others speculate that Sony’s pricing strategy is aimed at boosting margins, particularly after recent price hikes in Japan due to rising component costs like chips. The new console will allow for higher resolution and faster frame rates without requiring users to switch between performance modes, delivering 45% faster rendering than the standard PS5, according to lead architect Mark Cerny.

Despite the steep price, some analysts believe Sony could benefit. Citi analyst Kota Ezawa pointed out that no previous game console successor has been priced significantly higher than the original model, and that the PS5 Pro’s improved components may not justify such a big price jump. Nevertheless, the higher price could enhance Sony’s gross margins.

The PlayStation 5, which has sold over 59 million units since its 2020 release, has slightly lagged behind the PlayStation 4. The increased cost of the PS5 Pro may narrow its appeal, as the price edges closer to that of a gaming PC—one of the console market’s biggest competitors.

Reviewers also highlighted the lack of a disc drive in the new model, reflecting a broader industry shift from physical media to digital content. A disc drive will be available separately for purchase.

In a blog post, Sony announced that the PS5 Pro would enhance the performance of older titles, with several popular games such as Hogwarts Legacy, Final Fantasy VII Rebirth, and Spider-Man 2 receiving free updates to take advantage of the console’s new features.

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Apple’s iPhone 16 Launch: A Crucial Test for Consumer AI

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Apple is set to unveil its highly anticipated iPhone 16 lineup on Monday, Sept. 9, during its annual event at its Cupertino headquarters. The keynote, led by CEO Tim Cook, is expected to introduce not only the new iPhones but also the 10th anniversary Apple Watch and updated AirPods.

While the hardware lineup is impressive, Wall Street’s focus is elsewhere—on Apple’s generative AI platform, Apple Intelligence. This AI initiative, designed for iPhones, iPads, and Macs, represents Apple’s major push into the consumer AI space. Initially, investors were concerned about the company’s delay in launching AI compared to Microsoft and Google. However, after the platform was revealed at Apple’s WWDC conference in June, the company’s stock surged by 15%, outperforming tech giants like Microsoft, Amazon, and Google.

Apple Intelligence is now positioned as a key feature of the new iPhones, particularly those from the iPhone 15 Pro and newer models. Analysts believe this exclusivity will drive iPhone sales, with Morgan Stanley’s Erik Woodring predicting AI as a major factor in boosting the iPhone replacement cycle.

However, Apple Intelligence might be more than just a sales driver—it could shape consumer perceptions of generative AI itself.

Apple’s AI Ambitions

Apple’s upcoming event makes it clear that AI is front and center. From the tagline “It’s Glowtime” to the colorful logo reminiscent of Siri’s new look, the company is signaling a major AI focus.

The AI features Apple is integrating into its ecosystem are extensive. Users can expect tools that summarize text conversations, prioritize emails, enhance Siri’s capabilities, and offer access to OpenAI’s ChatGPT. Additional features like AI-powered proofreading and email optimization will also be part of the package, along with new apps developed to leverage AI through Apple’s hardware.

Wedbush analyst Dan Ives forecasts that Apple’s AI integration could bring in an extra $10 billion in annual services revenue, potentially boosting the company’s market cap to $4 trillion.

Though competitors like Samsung and Google have also introduced AI in their devices, Apple’s approach seems more compelling. Its June event showcased how seamlessly AI integrates into its ecosystem, making the technology feel more personal and essential compared to the offerings from Samsung’s Galaxy AI and Google’s Gemini platform.

The AI Risk

However, Apple faces challenges in ensuring Apple Intelligence’s success. The AI needs to avoid errors like those seen in Google’s AI tools, which have been criticized for providing bizarre recommendations. More importantly, Apple must prove that its AI is something consumers will genuinely want to use, rather than just a rushed feature aimed at appeasing investors.

As Apple ventures deeper into AI, its success or failure could shape the future of generative AI for everyday consumers.

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