In his post-Budget webinar address on “Unleashing the Potential: Ease of Living With Technology,” Prime Minister Narendra Modi stated that technology like 5G and AI (Artificial Intelligence) may alter a variety of industries, including medicine, education, agriculture, and many more.
The prime minister also requested participants to list 10 issues that the average person faces that can be resolved with AI.
In addition, PM Modi stated that technology will assist India in achieving its goal of being a developed country by 2047. The benefits of the digital revolution will be distributed to all citizens, according to the Prime Minister, who described the cutting-edge digital infrastructure being built.
The administration wants to lower the cost of compliance for small enterprises, the prime minister added. “We want to lower small enterprises’ compliance expenses. Can you (the industry) compile a list of compliances that are not necessary and can be cut back? 40,000 compliances have been completed “stated PM Modi.
The Prime Minister added that India is building a cutting-edge digital infrastructure and the government is making sure everyone benefits from the digital revolution. He continued that the technology is being used to bring about a qualitative change in people’s lives.
With the ever-increasing demand for more realistic gaming experiences, game developers are turning to ever more sophisticated development tools to bring their games to life. Unity3D has become one of the most popular game engines among developers with its powerful graphics and added bonuses such as cross-platform play and cheap licensing.
In this article, we will look at the advantages and disadvantages of using Unity3D for game development, including online instructions, superb graphics, constant support from a local community, and captivating visuals. You can hire Unity3d developers on IT outstaffing service talmatic.com.
Introduction to Unity3D
Unity3D is a cross-platform game engine developed by Unity Technologies and used to create video games for computers, consoles, mobile devices, and websites. Unity3D is notable for its ability to target matches to multiple platforms, including iOS, Android, Windows, Mac, Xbox 360, PlayStation 3, and more.
With Unity3D, developers can create 2D or 3D games. The engine offers a wide range of features to help programmers build the best games possible. Some of these features include a powerful visual editor, support for both C# and JavaScript programming languages, advanced lighting, and physics engine options, and much more.
Despite its many advantages, there are also some potential disadvantages of using Unity3D that developers should be aware of. These include the fact that it can be difficult to debug games built with Unity3D, as well as the potential for licensing fees if developers want to use the full range of features offered by the game engine.
Advantages of Unity3D Game Engine:
Unity3D is a powerful, cross-platform game engine that enables developers to create amazing games and experiences.
With Unity3D, you can target multiple platforms with a single codebase, including iOS, Android, Windows, Mac, and more.
Unity3D features a state-of-the-art editor that makes creating and editing your game content easy.
Unity3D provides access to a wealth of assets and tools to help you create the best possible games.
Unity3D is constantly evolving, with new features and enhancements being added on a regular basis.
Cross Platform Play
Regarding game development, there are many different engines and platforms. But what sets UnityD apart from the rest? One of the key advantages of UnityD is its cross-platform capabilities. With UnityD, you can target multiple platforms with a single codebase. This means that you can reach a wider audience with your game without having to worry about porting your code to different platform SDKs.
However, cross-platform play is not without its challenges. One main issue is compatibility between game versions across different platforms. For example, if you release an update for your game on iOS, it may take some time for that update to become available on Android. This can lead to frustration for players who are using different versions of the game.
Another thing to keep in mind is that not all features are available on all platforms. For example, certain features may only be available on high-end devices or may require specific hardware that not all devices have. This can limit your ability to reach certain players with your game.
Overall, cross-platform play is a double-edged sword. It can be a great way to reach more players with your game, but it comes with its own set of challenges that you need to be aware of before making your decision.
Easy to Learn and Use
Unity is a powerful game engine that provides developers with a comprehensive set of tools to create games. The machine is easy to learn and use, making it a popular choice for game development. However, some pros and cons of Unity should be considered before choosing it for your project.
Some of the advantages of using Unity include:
it is easy to learn and use. Even those with no prior experience in game development can quickly get started with Unity.
the engine is very versatile and can create games of all genres.
unity comes with many built-in features and tools, making it possible to create high-quality games without having to code everything from scratch.
there is a strong community of unity programmers who are willing to help out and share their knowledge.
However, there are some disadvantages to using Unity that should be considered as well:
while Unity is easy to use, it can still take some time to learn all of its features and tools.
like any game engine, there is a learning curve associated with using Unity. This means that it may take some time for new developers to become proficient in its use.
some users have reported experiencing technical issues when using Unity, such as crashes or bugs. While these problems can usually be fixed by updating to the latest version of the engine, they can still be frustrating for those affected by them.
Cost Effective Licensing
One of the main advantages of Unity is it’s cost-effective licensing. For indie game developers and small studios, Unity’s low cost of entry is a major advantage. There are three main versions of Unity: Personal, Plus, and Pro. Personal is free to use for anyone, while Plus and Pro have monthly subscription fees. However, even the monthly subscription fee for Pro is only $125, which is very affordable compared to other game engines.
High Visual Quality
One of the main reasons to choose UnityD for game development is its high visual quality. UnityD games tend to look very polished and professional, with high-quality graphics and sound. They also tend to have a very smooth gameplay experience, thanks to the Unity engine’s optimization.
Of course, not all UnityD games are created equal – some may have lower visual quality than others, depending on the skills of the developers and artists involved. But overall, you can expect a pretty impressive visual experience from most UnityD titles.
Great Community Support
At UnityD, we take pride in our community support. Our developers are always available to help you with your game development needs. Whether you need help with coding, debugging, or just need someone to talk to about your game development journey, our community support is here for you.
We also have a massive selection of resources available to our community members. Our forums are full of helpful topics and discussions, and our wiki is a great place to find tutorials and information on all things UnityD. If you ever have a question or need help with something, just reach out to our community support, and we’ll be happy to help you out.
Disadvantages of Unity3D Game Engine:
You might not want to use Unity3D for your game development project for several reasons. First, it can be difficult to find skilled Unity3D developers, as the platform is still relatively new. Second, Unity3D can be slow and buggy, particularly when compared to more established game engines like Unreal Engine 4. Finally, you may need to purchase additional tools and plugins to get the most out of Unity3D, which can add to the overall cost of your project.
Lack of Native Software Platform Support
Native software platforms are those that are specific to a given operating system or device. They provide the foundation on which applications can be built, and usually include a set of tools and APIs for developers to use.
UnityD does not currently have any native platform support. This means that coders will need to use third-party tools and services in order to create games for specific platforms. While this is not necessarily a bad thing, it can be a bit of a learning curve for those who are new to game development. Additionally, it can add some extra cost and time to the development process.
Limited AI Capabilities
The main advantage of UnityD over other game engines is its ability to create sophisticated AI systems. However, this advantage is also its biggest drawback. The reason for this is that UnityD does not support all the features required to create truly intelligent agents. For example, it lacks support for advanced pathfinding and decision-making algorithms. This means that if you want to make a game with complex AI, you must use a different engine.
Conclusion
Unity3D is a compelling and versatile platform for developing games, one that offers a wide range of advantages. From its user-friendly interface to its ability to deploy multi-platform titles with ease, Unity3D provides game developers with the freedom and the tools necessary to create unforgettable experiences. Although there are some drawbacks, such as slightly higher development costs and a slight learning curve depending on your previous experience with game development, it’s clear that Unity3D has established itself as one of the premier platforms for today’s modern video games.
In the world of app development, creating a Minimum Viable Product (MVP) is often the first step toward success. An MVP is a prototype version of your app that includes only the core features necessary for users to accomplish their goals. This approach helps to validate the product idea, minimize risk, and save time and resources. But how do you go about designing an MVP? In this article, we’ll explore the MVP design process and discuss some best practices for successful app development.
What Is an MVP?
An MVP (Minimum Viable Product) in app development is a basic version of an app that includes only the core features necessary for the app to be usable and to provide value to users. The purpose of an MVP is to validate the app idea and test the viability of the product before investing significant resources into full-scale development.
Creating an MVP allows app developers to gain user feedback early in the development process, which can help to identify areas of improvement and guide future development efforts. An MVP is typically built using a simple, iterative design process that allows for quick modifications and enhancements based on user feedback. Once the MVP is tested and validated, developers can use that feedback to build a more comprehensive version of the app.
An MVP helps to minimize the risks associated with app development by reducing the amount of time and resources invested in a product that may not have a market. By testing the core features of the app and gathering feedback early, app developers can make informed decisions about the viability of their app idea and reduce the risk of failure.
7 Steps of MVP Design Process
The MVP design process is a crucial step in app development, as it provides a framework for creating a functional and usable version of an app with a minimal feature set. By following this process, app developers can create a product that validates the app idea and meets the needs of the target audience while minimizing risk and resource investment. Here’s a detailed look at the MVP design process:
Step 1: Define Your Idea
The first step is to define the app idea and identify the core features that are essential for the app to provide value to the user. This can be done through market research, user surveys, and competitor analysis, and the goal is to identify the key pain points that the app will solve and create a list of features that will address those pain points.
Step 2: Create a User Flow
Once the core features have been identified, the next step is to create a user flow. A user flow is a visual representation of the path a user takes through the app to achieve their desired outcome. It maps out the user journey and helps identify potential issues and opportunities for improvement in the user experience.
Step 3: Build a Wireframe
The next step is to build a wireframe. A wireframe is a low-fidelity, black-and-white sketch of what the app will look like, and it helps to refine the user flow. The wireframe is a basic visual representation of the app’s layout and functionality and provides a basic framework for the app’s design and functionality.
Step 4: Create a Prototype
With the wireframe in place, the next step is to create a prototype. A prototype is a functional version of the app that users can interact with to test the core features. This can be done using prototyping tools, or even by building a simple version of the app. The prototype should be a simplified version of the app that includes only the core features, allowing users to experience the functionality without getting bogged down in details.
Step 5: Get User Feedback
Once the prototype is built, it’s time to get user feedback. User feedback is crucial to the success of the app, as it helps to identify issues and opportunities for improvement in the user experience. It’s important to get feedback early and often, as this helps to identify problems before they become too difficult to address.
Step 6: Iterate and Refine
Based on the user feedback, it’s time to iterate and refine the app. This means making changes to the design, functionality, and user experience to improve the app’s usability and appeal. It’s important to continue getting user feedback throughout this process to ensure that the app is meeting the needs of the target audience.
Step 7: Launch
Once the app has been iterated and refined, it’s time to launch. This involves making the app available to users and promoting it through various marketing channels. It’s important to continue to gather user feedback after the launch, as this can help to guide future development efforts.
Who to Hire?
An MVP (Minimum Viable Product) can be designed by various individuals or teams, depending on the resources available and the complexity of the project. Here are some options for who can design an MVP:
In-house Development Team
If a company has an in-house development team, they can design the MVP themselves. This team may include developers, designers, project managers, and other professionals who have the necessary skills and expertise to design and develop the app.
Freelance Developers
Freelance developers can also design an MVP. They may work independently or as part of a team and can provide specialized expertise in specific areas such as design, development, or testing.
App Development Agencies
App development agencies can also design an MVP. Agencies, like Purrweb, typically have a team of professionals with expertise in various areas of app development and can provide end-to-end services, from design to development and deployment.
No-Code/Low-Code Platforms
There are also no-code/low-code platforms available that allow non-technical individuals to design and develop an MVP without requiring specialized coding skills. These platforms typically provide pre-built templates, drag-and-drop interfaces, and other tools that simplify the design process.
Pros and Cons of Creating an MVP
Pros:
Reduced Cost: MVP development allows companies to test their product ideas without investing too much time and money. It helps to reduce the cost of development and avoid the risk of overbuilding a product that doesn’t meet the market needs.
Faster Time to Market: An MVP can be developed in a relatively short amount of time, allowing companies to launch their products faster and gain early market feedback. This feedback can then be used to refine the product before investing in additional features.
Market Validation: The main goal of an MVP is to validate the product idea and test its potential in the market. By launching an MVP, companies can get real user feedback, identify key pain points, and make changes to the product to better meet the needs of their target audience.
Focus on Core Features: An MVP focuses on the core features of a product, which helps to ensure that the product is streamlined and easy to use. This also allows companies to identify the most important features and prioritize their development efforts accordingly.
Cons:
Limited Features: An MVP typically has limited features, which can be a disadvantage if the product requires more features to be useful. This can result in a product that is not appealing to a wider audience.
Limited User Experience: The limited features of an MVP can also result in a limited user experience. This can be a disadvantage if the product doesn’t provide enough value to users and fails to engage them.
Risk of Negative Feedback: An MVP can receive negative feedback from early adopters who may be dissatisfied with the limited features. This can be a risk for companies that rely heavily on user feedback to validate their product ideas.
Limited Market Insights: The feedback received from an MVP may not be representative of the larger market. This can result in missed opportunities if the product idea is not appealing to a wider audience.
Conclusion
MVP (Minimum Viable Product) design process is an essential step in app development that allows companies to test their product ideas in a cost-effective and efficient manner. By focusing on the core features of the product and launching an MVP, companies can gain early market feedback, validate their product idea, and make necessary changes before investing in additional features. While there are both pros and cons to the MVP approach, it remains a popular strategy for app development due to its ability to reduce cost and time to market while prioritizing user feedback and market validation. Ultimately, the success of an MVP depends on a combination of careful planning, design, and execution, as well as the ability to make timely adjustments based on user feedback and market insights.
Artificial intelligence is one of the numerous ground-breaking concepts that will significantly impact e-commerce companies as they shape the future of the online market. Robots are already taking over your neighborhood’s retail industry. AI is changing the e-commerce and retail sectors with customized consumer experiences, automated warehouse operators, face recognition software payment systems, anti-counterfeiting technology, and more.
One of the most prominent users of AI technology is Apple, Alibaba, Amazon, etc. Yet, not all businesses are created equal regarding their capacities and investments in the AI area. The ranking and position of a firm among the most important themes may be a key indicator of that company’s likely future profitability and overall competitive advantage. So, let’s take a look at how different online shops adopt AI strategies.
Macy’s
To demonstrate the increasing presence of cognitive computing and predictive analytics in the retail business, Macy’s is testing a mobile Web-based artificial intelligence system that encourages customers to submit product-related questions and find answers.
Macy’s is utilizing IBM Watson’s Satisfi engagement technology to power its new mobile service. Queries may cover a range of subjects, including information on store layout, product selection, and accessible in-store activities. For instance, a person may inquire on the platform about the location of the section for women’s shoes. And locate its specific placement. Customers may also enter a keyword search for a single item into Macy’s on Call to find out whether it is available and where it is located in the mall.
Results are generated using an interface powered by IBM Watson’s Natural Language Classifier. The system allows Macy’s to discover more about the services, attributes, and goods that delight shoppers.
Alibaba
Alibaba is making a significant investment in artificial intelligence because it can predict what consumers want to buy, which is crucial for the biggest e-commerce platform in the world. The website’s product information is created utilizing NLP to be easily searchable.
The business declared in 2020 that it would invest $28 billion in the cloud, AI, and other technologies over the following three years. 2019 saw the launch of Alibaba’s first AI inference chip. Within five years, its Pingtouge chip division may overtake the market.
Alibaba wants to invest $1 billion in expanding its AIoT ecosystem, which includes its voice assistant and smart speaker, in order to catch up to its US and local competitors. The claimed focus is on connecting the information and services from the larger ecosystem, which includes amusement, wellness, and academia. Alibaba has also made several smart choices, notably in SenseTime, a well-known unicorn in artificial intelligence.
Shopify
Product descriptions heavily influence customers’ purchasing decisions; optimizing them may enhance site visibility and conversion rates. The process of getting a new merchant’s store ready to go live takes a lot of time. And carefully created product pages and descriptions are among the most crucial elements for a store’s initial success. Countless items are for sale throughout all Shopify businesses, many of which lack even a description.
Shopify tackles the issue by using AI-Generated Product Descriptions.
The software will instantly create a product description on the item setup page in the retailer’s admin once a user enters a few data regarding their item or keywords they would like to appear for in search results. The days of having writer’s block are over.
The ability to introduce goods to the website and begin receiving payments is now quicker than before. For retailers with huge product inventories, users can now rapidly create captivating product descriptions with a consistent voice throughout their online marketplace. Users now have a built-in copywriter in their admin, regardless of how many items they provide, allowing them more time to concentrate on managing the operation.
Zalando
In 2018, Zalando introduced the Algorithmic Fashion Companion (AFC). This machine-learning system can recognize various pieces of apparel and offer ideas for an ensemble depending on the user’s prior buys. Zalando has tried to employ AI to ensure that things purchased fit the consumer adequately and appear as they were represented on the screen to decrease the number of refunds, which now sits at approximately 50%.
The business uses AI to improve its service, handle logistical problems as effectively as possible, prevent fraud, and meet seasonal demand.
Furthermore, selecting, packaging, and shipping are all handled by AI as part of warehouse operations. Smart algorithms have improved knowledge of how and when the box will be transported to the consumer based on the selected courier service. Robots at distribution centers have been helping people by detecting, collecting, and transporting things to particular packaging locations.
To Sum Up
While we may not give it much thought, AI is a significant part of most people’s daily lives. It can be as simple as asking to define dissertation paper and getting a custom thesis written for you.
Overall, your customer experience, conversion, revenue, and profit may all be dramatically increased with a solid AI system that uses machine learning. By utilizing AI for e-commerce platforms, online businesses may automate tasks and reduce the amount of human labor. AI can detect both micro and macro patterns more quickly than any individual.
While Google and Microsoft are still vying to dominate AI search, Google launched AI-powered search ads today. This follows a recent discussion Microsoft had with advertisers on how AI search and advertising may cooperate.
Making assets for your advertising with Google AI is one of the new features that Google is introducing. The right ad, together with pertinent assets, will be delivered to the appropriate person through Google’s new AI-powered advertisements.
The difficult part of doing this is coming up with new headlines and descriptions. At Google Marketing Live the previous year, Google offered assets that were automatically created. Based on the text of the ad and the landing page, these characteristics enable responsive advertising to display the best possible selection of assets.
All advertisers can now access automatically generated assets as part of an open beta. According to Google, early adopters who used responsive advertisements saw a 2% boost in conversions at a comparable cost per conversion.
Additionally, Ad Strength will consider current assets and created assets when determining a rating. Assets that are created automatically will use provided inputs, such as keywords, to improve headlines and relevance. Any automatically created assets you don’t want to include in your ads can be removed too.
While Google and Microsoft are still vying to dominate AI search, Google launched AI-powered search ads today. Making assets for your advertising with Google AI is one of the new features that Google is introducing. The right ad, together with pertinent assets, will be delivered to the appropriate person through Google’s new AI-powered advertisements.
Musk approaches AI researchers to develop ChatGPT rival
According to persons with intimate knowledge of the project, billionaire Elon Musk recently approached AI experts about establishing a new lab to create a ChatGPT rival. Igor Babuschkin, a researcher who just left Alphabet’s DeepMind AI unit, has been sought after by Tesla and Twitter CEO Musk, according to the story.
Meta creates separate team focused on AI products
As the competition for artificial intelligence (AI) among Big Tech companies heats up, Meta Platforms’ chief executive, Mark Zuckerberg, announced on Monday that the company is forming a new top-level product division with a focus on generative AI. Zuckerberg said, “We’re starting by pulling together a lot of the teams working on generative AI across the company into one group focused on building delightful experiences around this technology.”
Snapchat debuts its own chatbot ‘My AI’ based on ChatGPT
According to a press statement from the firm, Snapchat has debuted its own chatbot named “My AI” using the most recent version of OpenAI’s fast-expanding generative text engine, ChatGPT. Only Snapchat+ subscribers will currently be able to use My AI. At $3.99 (Rs 329) a month, these subscribers get access to “exclusive, experimental, and pre-release features.”
Indian Youth makes waves with AI, ML inventions
Nikhil JSK, a 24-year-old man from Vizag, became an inventor at a young age due to his technological curiosity and practical skill. Nikhil is presently employed by IBM in Bangalore as a software engineer. The youngster is a member of a small team that has developed three machine learning and artificial intelligence-related technologies and submitted patent applications to the USPTO.
According to persons with intimate knowledge of the project, billionaire Elon Musk recently approached AI experts about establishing a new lab to create a ChatGPT rival, reported Reuters.
Igor Babuschkin, a researcher who just left Alphabet’s DeepMind AI unit, has been sought after by Tesla and Twitter CEO Musk, according to the story.
The San Francisco-based startup OpenAI, which has a close partnership with Microsoft, built a larger collection of technologies that includes ChatGPT. Since then, it has attracted millions of users, many of whom use it for work-related tasks like researching ideas for emails or other projects.
Musk has highlighted a number of odd AI-related incidents over the past several weeks, including ChatGPT’s appearance before the media and Bing Chat’s propensity for making “weird” comments.
He claimed that artificial intelligence (AI) was “far more hazardous than nukes” about five years ago, and he still seems to hold that opinion even as the world becomes fixated on ChatGPT and AI.
The CEO of Tesla and SpaceX said on Friday that this was “not what he had planned” despite being a co-founder of OpenAI, the business that created the popular chatbot.
As the competition for artificial intelligence (AI) among Big Tech companies heats up, Meta Platforms’ chief executive, Mark Zuckerberg, announced on Monday that the company is forming a new top-level product division with a focus on generative AI.
While the tech sector struggles with sluggish growth, loses thousands of employees, and dials down on experimental bets to weather the slump, AI has emerged as a promising area for investment.
Zuckerberg said, “We’re starting by pulling together a lot of the teams working on generative AI across the company into one group focused on building delightful experiences around this technology.”
According to Zuckerberg, Meta is exploring experiences with text (chat in WhatsApp and Messenger), with images (creative Instagram filters and ad formats), with video and multi-modal experiences, but “over the longer term, it will focus on developing AI personas that can help people in a variety of ways.”
According to a corporate representative, Ahmad Al-Dahle will serve as the team’s leader and will answer to Chris Cox, Meta’s chief product officer. According to the spokesman, this will allow Meta to incorporate the research team’s findings more quickly into its products.
According to a press statement from the firm, Snapchat has debuted its own chatbot named “My AI” using the most recent version of OpenAI’s fast-expanding generative text engine, ChatGPT. Only Snapchat+ subscribers will currently be able to use My AI. At $3.99 (Rs 329) a month, these subscribers get access to “exclusive, experimental, and pre-release features.”
The firm announced the new features in a news statement, saying, “My AI can give birthday present ideas for your BFF, arrange a hiking trip for a long weekend, suggest a recipe for dinner, or even write a haiku about cheese for your cheddar-obsessed friend.”
The social media platform issued a warning nonetheless, stating that the chatbot is prone to delusion and can be misled into saying just about anything. Please be aware of its numerous flaws and accept our sincere apologies, it continued.
The company further advised customers not to divulge any secrets to My AInand not to rely on its recommendations. To improve accuracy, the corporation will record and examine the user discussions. The company added, “My AI is meant to avoid biased, erroneous, damaging, or misleading information, but errors may occur.
The outlet claims that My AI is currently just a mobile-friendly rendition of ChatGPT inside Snapchat. The version of the social networking application can only respond to fewer inquiries, and that is the main difference. Also, the bot has been programmed to abide by the company’s trust and safety standards and to refrain from responding with profanity, violence, sexual content, or opinions on things like politics.
Qualcomm demonstrates Stable Diffusion on Android phone
To advance its efforts in working with AI, chip manufacturer Qualcomm has displayed the first demonstration of Stable Diffusion on an Android handset. Stable Diffusion was initially implemented on an Android smartphone running Qualcomm’s Snapdragon 8 Gen 2 platform using full-stack AI optimizations by Qualcomm’s AI Research team.
JPMorgan Chase restricts its employees from using AI chatbot ChatGPT
The largest US financial services company, JPMorgan Chase, has prohibited its employees from using the trendy AI chatbot, ChatGPT, created by OpenAI. The bank did not impose restrictions on the usage of the well-known chatbot with artificial intelligence because of a particular incident. The Wall Street Journal cites sources saying that it was unknown how many employees or for what purposes the chatbot was used.
Airtel, Nvidia partner to deploy AI-powered speech analytics solutions for customer services
The world’s largest telecom company, Bharti Airtel, has teamed with Nvidia to develop and implement an AI-based solution that would enhance the overall customer experience for all incoming calls to its contact centre. Airtel used the NVIDIANeMo conversational AI toolkit and Nvidia Triton Inference Server, a multi-framework inference serving software supported in the Nvidia AI Enterprise software bundle, to develop the technology that enables automated voice recognition.
Baidu CEO says company’s ChatGPT-like AI chatbot to revolutionize its search engine
Several other IT businesses have declared plans to create their own chatbots in response to ChatGPT’s success. Among them is the Chinese company Baidu, which is creating the app Ernie Bot, which is similar to ChatGPT. According to firm CEO Robin Li, the AI chatbot would offer a “revolutionary” version of the company’s well-known search engine.
Nvidia’s value propels by nearly $220 Billion this year
According to stock market gains, Nvidia Inc. is the clear victor in this year’s artificial intelligence frenzy. The Santa Clara, California-based company’s shares increased by as much as 13% on Thursday, putting it on track to increase its market value by roughly $65 billion and bringing its gains for the year to around $219 billion.
