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Artificial Intelligence

5 Questions Business Leaders Should Ask When Considering Artificial Intelligence

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5 Questions Business Leaders Should Ask When Considering Artificial Intelligence

Artificial Intelligence (AI) can offer organizations breakthroughs in their production systems and even a competitive advantage if used thoughtfully and in the right context. The digital transformation and its multiple advances have generated pressure on companies, derived from the fear of being left behind, which in turn has resulted in a pre-willingness among leaders to implement these technologies in their companies. Despite the benefits offered by Big Data, many business leaders are hesitant to adopt it because they are still confident with the same old blueprint that worked for them in the past. However, the business landscape is changing rapidly, and business strategies need to adjust accordingly. Here are 5 questions business leaders should ask when considering AI technology

 

What is this AI craze all about?

Whether it’s AI, blockchain technology or Internet of Things – every new technology entices business leaders to adopt it and enhance their business grades. Artificial intelligence has the efficiency in combining its epidemic performance skills with any machine/platform including computer hardware, big data, the blockchain, the IoT and also deep learning, data mining, neural networks, cognitive computing, and robotics.

 

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How can we centralize the data?

Many companies are looking to centralize their data, and the main options are a private or public cloud, or some combination of the two, depending on your business needs. Just move what you need to solve a particular problem and build from there. This allows for a natural progression of data migration saving time and effort. Too many companies conducting mass migrations have been ill prepared for the amount of effort necessary to make use of the data once centralized.

 

Have you created a strategic approach?

To get the most out of artificial intelligence, businesses must understand the prospective advantages of AI and how it can be implemented to grow their businesses. Such an approach needs strategic planning, where companies need to determine their goals and projects that can help the company develop and thrive.

 

What’s its potential?

The place to start is to educate management about its potential and undertake internal analysis of where it could be deployed and what competitors are doing. The key is to use non-trivial applications to learn from but to deliver them quickly so the organization can get a true sense of AIs potential.

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How will AI impact customer experience?

While almost every organization might have faced the similar issue of running out of resources and products, AI is here to empower the customer experience. With the onset of newest features and technology, customers’ expectations are also rising dramatically. People are able to shop and make transactions with just a few clicks from their laptops and cell phones.

The post 5 Questions Business Leaders Should Ask When Considering Artificial Intelligence appeared first on Analytics Insight.

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Adobe Stock

Adobe Enables Contributors To Earn Royalties For AI-Generated Content

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Adobe Enables Contributors To Earn Royalties For AI-Generated Content

Adobe Stock specifies new standards for generative AI-generated material, enhancing human creativity

In order to increase how users can improve their creative endeavors, Adobe Stock, a global marketplace with more than 320 million creative assets, has established new rules for submissions of graphics made with generative AI. Early developments in generative AI have led to concerns regarding its right use. Adobe has given these issues careful thought, and they have created a new submissions policy that, in our opinion, will guarantee that both authors and users of their material utilize AI technology responsibly. In order to produce visuals more quickly by employing words, sketches, and motions, generative AI uses the extraordinary potential of machine learning. This represents a significant advance for creators. Contributors to Adobe Stock are leveraging AI techniques and technologies to expand their creativity, diversify their portfolios, and boost their earning potential.

These submissions must now adhere to the rules for AI-generated material, particularly the need that contributors to designate such entries. “There is a proper technique to integrate generative AI. I think Adobe can execute it properly given its size. Whoever implements it earliest and how responsibly businesses connect their communities with these technologies will win, in my opinion,” said Alex Q. Although some legitimate concerns have been raised about early generative AI technologies, Adobe is dedicated to leading the evolution of this technology into tools that support artists while never attempting to replace their creative faculties. In the right hands, generative AI can be an effective tool to boost creativity, expediting the creative process to the advantage of both users of digital goods and the contributory community who create those materials.

Additionally, Adobe is still making investments in innovations related to attribution, such as digital provenance technology created by the Adobe-led Content Authenticity Initiative (CAI). With more than 800 members, the CAI is expanding beyond merely Adobe products to enable credit for authors and provide openness about the details and sources of digital content. The generative AI policy gives artists control over these tools by allowing them to receive royalties for AI-generated content in accordance with Adobe’s licensing policies, just like they do for other content.

“I’m a believer in AI and I’m here for how AI will affect the future of Art,” Madison B said in her response. Some apps have significantly improved since I initially used them, and I’m interested to see how businesses like Adobe will incorporate generative AI into their creative tools.

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To make sure that new assets satisfy consumer demands, Adobe Stock regulates AI-generated content according to the same guidelines we follow for other submitted content. In the unlikely event that a claim is made over an asset, conventional IP indemnity is included, and releases are still needed for identifiable people and property. Additionally, without sufficient consent, contributions based on third-party content are prohibited by our generative AI policy. This includes word prompts that relate to persons, places, things, or an artist’s aesthetic. The same license conditions apply to AI-generated content as they do to content from other sources. By the guideline, creators of generative AI content are required to proactively name it; further capabilities to increase transparency will shortly be added by Adobe. We think generative AI deserves a spot in our Stock collection when it is appropriately employed and labeled to create valuable and appealing content, ensuring that clients are aware of the provenance of the assets they are choosing.

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Artificial Intelligence

Now Groove With Nike! The Giant Launches Its “1st Native Web3 Sneaker”

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Now Groove With Nike! The Giant Launches Its “1st Native Web3 Sneaker”

Now you can take selfies with the help of AI with Lensa

If your Instagram is awash in algorithmically generated portraits of your friends, you aren’t alone. After adding a new avatar generation tool based on Stable Diffusion, the photo editing app Lensa AI went viral over the last few days, with users sharing their uncanny AI-crafted avatars (and the horrible misfires) in stories and posts.

Lensa’s fun, eminently shareable avatars mark the first time many people have interacted with a generative AI tool. In Lisa’s case, it’s also the first time they’ve paid for computer-generated art.

Stable Diffusion is free, and many people are playing around with it for research or fun. But Lensa and other services like it — Avatar AI and Profilepicture.AI, to name a few — are making money by selling the computing cycles required to run the prompts and spit out a set of images. That certainly changes the equation a little.

Lensa is built on Stable Diffusion’s free, open-source image generator but acts as a middleman. Send Lensa 10-20 selfies and $7.99 ($3.99 if you sign up for a free trial), and the app does the heavy lifting for you behind the scenes, handing back a set of stylized portraits in an array of styles like sci-fi, fantasy, and anime. Anyone with sufficient processing power can install Stable Diffusion on a machine, download some models and get similar results. Still, Lensa’s avatars are impressive and Instagram-ready enough that droves of people are more than happy to pay for the convenience.

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While the tech world has celebrated the advancements of AI image and text generators this year — and artists have watched the proceedings warily — your average Instagram user probably hasn’t struck up a philosophical conversation with ChatGPT or fed DALL-E absurdist prompts. That also means that most people haven’t grappled with the ethical implications of free, readily available AI tools like Stable Diffusion and how they’re poised to change entire industries — if we let them.

Stable Diffusion, the AI image generator that powers Lensa, was originally trained on 2.3 billion captioned images — a massive cross-section of the visual internet. Swept up in all that stuff, including watermarked images, copyrighted works, and a huge swath of pictures from Pinterest. Those images also include many thousands of photos pulled from Smugmug and Flickr, illustrations from DeviantArt and ArtStation, and stock images from sites like Getty and Shutterstock.

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AI Innovation Needs a Stronger Catalyst

AI Innovation Needs A Stronger Catalyst For Meaningful Development

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AI Innovation Needs A Stronger Catalyst For Meaningful Development

AI innovation needs a stronger catalyst if researchers want an ecosystem with meaningful developments

To create a more productive business environment, leaders must know how to analyze the factors those and formulate a strategy that will benefit AI innovation. The complex, evolving work of digital transformation and AI innovation should not tackled with minimum number of resources. Instead, these venture capitalists are helping out AI startups to innovate efficiently.

 

Tempus

Tempus is a technology company advancing precision medicine through the practical application of artificial intelligence in healthcare. Tempus analyzes the DNA, RNA, and specific proteins of cancer cells to understand the patient’s disease at the molecular level so it can identify personalized treatment options designed to specifically target their unique cancer.

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Tencent

Tencent is a world-leading internet and technology company that develops innovative products and services to improve the quality of life of people around the world. Founded in 1998 with its headquarters in Shenzhen, China, Tencent’s guiding principle is to use technology for good. Our communication and social services connect more than one billion people around the world, helping them to keep in touch with friends and family, access transportation, pay for daily necessities, and even be entertained.

 

Toyota AI Ventures

Toyota Ventures is a venture capital subsidiary of the Toyota Research Institute (TRI). The firm invests in entrepreneurs from around the world who share TRI’s commitment to improving the quality of human life through artificial intelligence, with a focus on autonomous mobility, robotics, data, and the cloud.

 

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True Ventures

True Ventures is a seed and very early-stage venture capital firm. The firm partners with entrepreneurs at the earliest stages in the highest-growth segments of the technology market. True Ventures targets the newest entrants into emerging technology markets, including commerce, consumer devices, infrastructure services, media, mobile, and software and services.

 

Twilio

Twilio powers personalized interactions and trusted global communications to connect you with customers. Create the exact solution you need to engage customers at every step of their journey. Twilio Customer Engagement Platform combines flexible APIs for any digital channel, first-party customer data, and global infrastructure to support you at scale.

The post AI Innovation Needs a Stronger Catalyst for Meaningful Development appeared first on Analytics Insight.

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