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New Analytics Tools to Provide Real-Time Data and Insights for Artists, Collectors, and Investors

Colle AI, a leading platform at the forefront of AI-driven NFT technology, is excited to announce the launch of its comprehensive analytics tools designed to track and evaluate NFT performance. This new feature aims to provide artists, collectors, and investors with valuable insights into the digital art market, enabling them to make informed decisions and maximize their engagement with NFTs.

The newly introduced analytics tools by Colle AI offer a range of functionalities that allow users to monitor various metrics related to their NFTs. These tools enable performance tracking, market trends analysis, valuation metrics, and user engagement insights. By leveraging advanced AI and blockchain technology, these tools provide real-time data and actionable insights, making it easier for users to navigate the dynamic world of digital art and NFTs.

Also Read: AI Inspired Series by AiThority.com: Featuring Bradley Jenkins, Intel’s EMEA lead for AI PC & ISV strategies

Users can monitor the sales, views, and interaction history of their NFTs to understand their popularity and market reception. The tools offer insights into emerging trends in the NFT market, helping users identify potential opportunities for investment and creation. Artists and collectors can access valuation estimates for NFTs, providing a clearer understanding of their assets’ worth. Detailed reports on how users are interacting with NFTs, including metrics on likes, shares, and comments, offer deeper insights into audience preferences.

The introduction of these analytics tools aligns with Colle AI’s commitment to empowering its community of artists and collectors by providing them with the necessary resources to succeed. By offering detailed and accessible data, Colle AI aims to enhance the overall user experience and foster a more transparent and efficient NFT marketplace.

Colle AI’s comprehensive analytics tools are designed to support the needs of both novice and experienced users. Whether an artist looking to understand the market better, a collector aiming to optimize their portfolio, or an investor seeking new opportunities, these tools provide the necessary insights to make data-driven decisions.

Also Read: Extreme Networks and Intel Join Forces to Drive AI-Centric Product Innovation

Colle AI is an innovative platform that combines artificial intelligence and blockchain technology to revolutionize the creation and trading of digital art. By enabling users to transform creative prompts into unique NFTs, Colle AI democratizes access to the digital art market and supports multiple blockchain networks, including Ethereum, BNB Chain, and Solana. The platform is designed to provide a seamless and efficient experience for both artists and collectors.

Also Read: More than 500 AI Models Run Optimized on Intel Core Ultra Processors

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

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BIGG Digital Assets a leading innovator in the digital assets space and owner of Netcoins, Blockchain Intelligence Group, and TerraZero is pleased to announce TerraZero’s collaboration with artificial intelligence company Qeleo (Qeleo.com); Predictive Technologies d/b/a Qeleo, to accelerate the scalability of TerraZero’s core product, Intraverse, and other operational initiatives.

Also Read: AI Inspired Series by AiThority.com: Featuring Bradley Jenkins, Intel’s EMEA lead for AI PC & ISV strategies

• TerraZero and Qeleo have collaborated and will continue to collaborate on artificial intelligence tools specific to TerraZero’s pipeline of development.
• These AI tools, by design, foster the creation of assets to be used within virtual experiences deployed by TerraZero, and utilized across TerraZero’s Intraverse ecosystem.
• TerraZero and Qeleo plan to develop additional tools that further the scaling of 3D models and full 3D environments following creative input from staff and contractor artists and developers.
• TerraZero aims to use these AI tools to scale thousands of virtual environments, as well as build new revenue streams for the company.
• As TerraZero continues to scale the development of Intraverse PRO following activations with Napster and others, these AI tools will allow artists, creators and brands to generate virtual environments and utilize the Intraverse’s ecommerce, data and omnichannel features.

In working with Qeleo, TerraZero has three primary goals. First, develop unique AI tools that were up to par with their high quality standards when it came to compelling virtual experiences. Second, TerraZero is pursuing an engine they can use to create environments faster without losing their signature sense of design and innovative feature set. Third, the company wants to save their artists’ time and energy–so their efforts can go towards custom asset creation and development for larger, bespoke experiences for TerraZero’s ongoing portfolio of partners and clients.

Dan Reitzik, founder of TerraZero and Interim CEO of BIGG Digital Assets writes, “We are on the precipice of customizable, consumable content tailored to the individual. If you look at the market and where technology is headed, it feels only right that TerraZero takes this leap with Qeleo and continues to be an innovative player in the space. We have been impressed by Qeleo’s ability and confidence as an enterprise AI specialist. Smart AI needs to be driven by smart people. I have full faith in what Qeleo is doing with TerraZero.”

Also Read: Extreme Networks and Intel Join Forces to Drive AI-Centric Product Innovation

Tarka L’Herpiniere, CTO of Qeleo, adds, “Working with TerraZero to build their custom AI solution was a truly rewarding experience. Their vision for the metaverse, combined with their commitment to innovation, made this project particularly interesting. We were able to combine multiple Qeleo AI models to deliver a solution that automates the creation of 3D metaverse environments, including architectural and asset generation. The result is an extremely powerful tool that has enabled TerraZero to scale their operations and create more immersive experiences – faster.”

TerraZero will seek more opportunities to better deploy operational capital on revenue generating business, and support the Intraverse and its core products and features to serve larger onboarding efforts to grow a more robust user base.

The goal of both parties is to build an engine that can not only serve TerraZero’s development needs, but, in the future, users who come onto the platform and want to see their own design tastes reflected in the Intraverse.

lso Read: More than 500 AI Models Run Optimized on Intel Core Ultra Processors

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

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Bridgetower Capital, a leading global provider of AI and Web3 platform services and infrastructure, with InterVision Systems, a premier Managed Service Provider and leader in innovative IT solutions, today announced a strategic partnership to launch robust, secure and scalable global Artificial Intelligence (AI) and Blockchain solutions and services.

Also Read: Extreme Networks and Intel Join Forces to Drive AI-Centric Product Innovation

The companies bring to market a transformative proprietary suite of AI and Web3 services, uniting the dynamic fields of Web3 and AI in ways that will accelerate adoption of the technologies in a variety of industries around the world. These services address key challenges such as AI lineage, sovereignty, and authenticity, while facilitating the global distribution of AI models and blockchain applications through secure and efficient networks. The AI/Web3 suite solutions include AI modeling, building and training Large Language Models (LLM), and AI-driven data analytics.

“Bridgetower is a leader in Web3 and AI through our unique approach to layering the capabilities of blockchain to validate data with AI’s power to create large language models making enormous sets of data accessible and useful to organizations,” said Bridgetower Capital Founder and CEO Cory Pugh. “Our partnership with InterVision is yet another example of Bridgetower aligning with those who are pioneering the adoption of AI and Blockchain globally.”

“This partnership with Bridgetower Capital marks a significant milestone in our journey to integrate AI and blockchain technologies,” said Jonathan Lerner, CEO of InterVision Systems. “By combining our strengths, we are well-positioned to deliver groundbreaking solutions to our customers that will drive efficiency, security, and growth for businesses worldwide.”

The Bridgetower/InterVision partnership will also focus on enhancing InterVision’s AI-driven platforms, a suite of GenAI accelerators built for improved customer experiences and developed for rapid customization and deployment. These platforms empower businesses to quickly implement advanced AI solutions, reducing development time and complexity to deliver innovative products and services.

Also Read: AI Inspired Series by AiThority.com: Featuring Bradley Jenkins, Intel’s EMEA lead for AI PC & ISV strategies

In addition to the joint development of AI and blockchain solutions, the companies will work together to expand global reach and impact by leveraging their extensive networks and industry expertise. This partnership will drive growth and innovation, positioning both Bridgetower Capital and InterVision Systems at the forefront of the digital transformation landscape.

Also Read: More than 500 AI Models Run Optimized on Intel Core Ultra Processors

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

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Launched earlier this year, CUDOS Intercloud, a product of CUDO, addresses a crucial gap in the Web3 computing space by providing a scalable and distributed GPU-as-a-Service cloud tailored for DePIN (Decentralised Physical Infrastructure) communities and AI computational tasks, including machine learning and inference. The growth of DePIN networks within Web3 allows communities and small businesses to capitalise on the AI boom by leveraging protocols for machine learning and AI inference workloads, as well as other intensive computational tasks.

Also Read: AI Inspired Series by AiThority.com: Featuring Bradley Jenkins, Intel’s EMEA lead for AI PC & ISV strategies

Web3 companies need to guarantee service levels and access the right GPUs. They also desire a Web 3.0-aligned experience, such as connecting digital wallets, thus streamlining their access to GPU resources.

CUDOS offers an alternative to other approaches by distributing resources across many different vendors worldwide. This helps address the needs of individuals and businesses alike, tackling issues such as high costs, inability to pay in a Web3-native manner, and extensive KYC requirements, making CUDOS Intercloud an increasingly preferred choice for users.

The CUDO network, comprising both CUDO Compute and CUDOS Intercloud, has delivered over 500,000 consumed hours of AI GPU time. The integration of NVIDIA GPUs, including the NVIDIA H200 Tensor Core GPU and NVIDIA H100 Tensor Core GPU, plays a pivotal role in helping overcome the challenges of building robust and decentralised Web3 and AI systems, utilising advanced techniques in generative AI, machine learning, image processing, and language understanding.

Also Read: Extreme Networks and Intel Join Forces to Drive AI-Centric Product Innovation

CUDO also supports other NVIDIA GPUs, including the A100 Tensor Core, V100 Tensor Core, and A40 GPUs, as well as the range of RTX A6000, A5000 and A4000 GPUs for professional visualisation, providing users with greater choice based on their budget and type of high-performance computing workload. The combination of NVIDIA GPUs with CUDO Network platforms, leveraging a distributed chain of data centres worldwide, offers customers a powerful cloud solution for anything from visualisation to massively parallel computational tasks. This provides greater control over operations, location, and security, helping companies and users to scale more effectively.

With savings of up to 75% compared to other offerings, a specialised focus on GPU computing for AI, and the use of 100% renewable energy-powered data centres for their GPUs, CUDO’s platforms offer an economically and environmentally friendly alternative for the AI era.

Also Read: More than 500 AI Models Run Optimized on Intel Core Ultra Processors

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

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Public Testnet is a Key Step Using AI to Improve and Grow Web3 Apps

Lumerin, a protocol and foundational layer technology using smart contracts to control how P2P data streams are accessed, routed, and transacted, today announced that the Morpheus public testnet for decentralized artificial intelligence (AI) compute will go live on July 26 on the Arbitrum Sepolia network. Lumerin pioneered the development of the Morpheus public testnet and the Morpheus Lumerin testnet node using code that’s been battle tested for years.  The public testnet launch is a key phase in developing applications that use AI to make Web3 applications more accessible, transparent, and efficient for consumers and businesses alike.

Also Read: AiThority Interview with Wendy Gonzalez, CEO of Sama

Why Decentralize AI? 

Centralized AI models are more prone to inherent biases and increase the risk of censorship and monopoly. Decentralized AI on-chain democratizes access to data and intelligence and ensures better transparency and accountability with open testing benchmarks and without the need to rely on flawed, centralized frameworks.

Lumerin Powers The Morpheus AI Network

The new Morpheus public testnet will be used to decentralize and more efficiently allocate AI compute power across the Morpheus AI network and enable users to engage in a decentralized Chat-GPT-like interface. Lumerin is leveraging its advanced codebase to build the core node software for Morpheus, a decentralized AI network that connects users, compute providers, and personal AIs, called Smart Agents, in a seamless Web3 ecosystem.

Key benefits include:

– Decentralized Al Data Routing – Secure, reliable, and efficient allocation of AI resources across the network and within any AI services marketplace.

– Permissionless Access to Personal AIs – Open, transparent, equitable access to public and private AI models.

– Censorship Resistant – Democratic access to AI that protects data and user privacy, including users’ AI prompts that are kept private and safely stored on a decentralized network.

– Multiple LLMs – Users can access a variety of large language models (LLMs) within a single interface.

– Crypto Payments for AIs – More freedom, better usability and rewards for Smart Agent providers using crypto payment rails.

– AI Marketplace – A highly cost-effective, accessible two-sided market for AI services where users and AI service providers transact directly.

Also Read: Cryptocurrency Hacking Has Become A Significant Threat

“Our code contribution to Morpheus represents a vision of a future where individuals have complete control over their data and their privacy, free from the shackles of censorship and corporate interests,” said Lumerin project leader, Ryan Condron. “Together we’re on a mission to use decentralized AI to help grow and make Web3 applications more accessible, transparent and efficient for everyone.”

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

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Sustainability is increasingly on the mind of every retail and CPG executive. For many, it’s part of their company values. For some, it’s a legal requirement. For all, it’s intertwined with a desire to achieve greater efficiency, reduce waste, and deliver long-term value.

A focus on sustainability has never been more urgent as the impact of our actions on the environment becomes ever more apparent, from the growing frequency of extreme weather events to a “red alert” warning from the U.N. weather agency.

In addition, consumers are increasingly sensitive to retailers’ environmental initiatives, and greater sustainability often translates to increased efficiency as well, meaning efforts to reduce your environmental impact aren’t just good for the planet, they’re good for business.

Of course, achieving sustainability and efficiency is easier said than done. The persistent attitude, especially among retailers and CPGs, is that you can only improve sustainability by sacrificing margins. That couldn’t be further from the truth, and in fact, the right approach can ultimately save you money.

That’s not to say that implementing new sustainability practices is easy. It can be complex and difficult to track CO2 emissions or reduce waste. Which is why, increasingly, companies are leveraging AI to do the heavy lifting. We’ve reached a tipping point in the development of AI that brings powerful new capabilities to every company, making leaps in sustainability possible that might have been much more costly and time-consuming to implement even five years ago.

Let’s look at how AI is reshaping the push for sustainability and driving new value for customers and stakeholders.

Also Read: AI For One and All

Sources of inefficiency and emissions in your supply chain

When looking across your supply chain for opportunities to become more sustainable, waste is often a good place to start.

Fresh retailers manage a supply chain of short-shelf-life products that can quickly spoil. About 30% of food in American grocery stores is thrown away, and the cost of wasted food in the retail sector is estimated to be about twice the amount of profit from food sales. The approximately 16 billion pounds of food waste per year also has a big impact on the environment: manufacturing food that will ultimately go to waste causes nearly 10% of the world’s emissions.

Waste is more likely when consumer demands shift as quickly as they do today. Retailers have to factor in seasonality, promotions, diverse sales channels, and disruptions. In a recent survey, 79% of CPG companies said day-level planning was crucial for accurately forecasting and responding to consumer demands. Without accurate forecasting, inefficiencies can increase emissions at various stages in the supply chain, such as transporting goods unnecessarily.

Replenishment too has always been a vexing and complex task. Adapting to unexpected spikes in demand, minimizing stockouts, and avoiding the risks of overstocking and markdowns can be difficult to coordinate. Done right, however, replenishment can reduce handling, storage, and wastage costs across the supply chain that contribute to CO2 emissions.

All of the above inefficiencies can increase a company’s carbon footprint (as well as costs), but it can be hard to quantify the exact emissions. Companies in the EU and California need to figure out a way to do so, with the new Corporate Sustainability Reporting Directive (CSRD) in the EU and California’s SB 253 requiring companies to track their Scope 3 emissions, which are the result of activities that indirectly affect their supply chains. For retailers, the biggest portion of Scope 3 emissions comes from purchased goods, but tracking the impact is notoriously difficult.

These are just some of the opportunities to eliminate waste and add efficiency, and one of the reasons they’re such intractable problems is because they’re complex to analyze and optimize. This is where AI offers new avenues to optimize your supply chain and operations to achieve sustainability as well as cost savings.

How AI improves sustainability in retail supply chains

AI actually refers to a number of different technologies. Two of the most relevant for retail are generative AI and specialized AI. Generative AI is best for collecting, summarizing, and distributing knowledge, while specialized AI uses algorithms to perform specific functions beyond the ability of humans, like finding patterns in vast troves of data. Both offer solutions to major sources of inefficiency.

• Forecasting with machine learning. The best way to spot consumer trends and preferences that affect your inventory is using AI to analyze demand data to triangulate patterns in demand, such as seasonality or trends. AI can also consider business decisions like upcoming promotions, and factor in the influence of external events, from holidays to storms.
  AI can make connections that no human could, giving retailers a more accurate and up-to-the minute picture of demand that can avoid transporting and potentially wasting inventory and driving up emissions in the process.

• AI-directed inventory flow. Algorithms can find the most optimal process for efficient shelving, factoring in inventory levels, product availability, spoilage, backroom stock, and more to coordinate efforts that avoid overstocking and waste. With AI, stores can more accurately choose replenishment days, which makes it possible to receive more of the same products in one shipment for a more efficient and sustainable approach.

• Dynamic pricing. Algorithms can direct pricing to more efficiently manage markdown and clearance, moving inventory that can be economically and environmentally costly to stock for too long. By using AI to adjust prices and entice consumers, stores can avoid unnecessary waste.
• Greater CO2 emissions visibility. Algorithms can match CO2 emissions data to products without a major investment of time and effort. Using AI, tracking and reporting the emissions of purchased goods for regulatory compliance becomes much faster, simpler, and easier. Companies also gain the knowledge they need to reduce their carbon footprint and attract consumers increasingly in search of sustainable products.

By making data actionable, AI allows retailers to have more control over what they stock and when, ensuring an efficient operation that avoids waste, reduces costs, and improves sustainability.

Also Read: AI In Marketing: Why GenAI Should Be in All 2024 Marketing Plans?

The future of AI and sustainability

Improving sustainability is about collective action, and as more retailers and CPG manufacturers begin using AI tools to optimize their supply chain and operations, we can begin to see the impact of widespread and dramatic improvements to efficiency.

By adopting these intelligent solutions, businesses can simultaneously drive both profitability and sustainability, turning what was once a challenging balancing act into a source of value for everyone.

As AI technologies continue to advance, we’ll see an even greater potential for optimizing efficiency. By embracing AI-driven supply chains and operations now, companies can reduce costs, meet regulatory requirements with ease, and lead the charge toward a more sustainable future.

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

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ZayaAI, a pioneering AI-focused technology company, proudly announces its strategic partnership with Enjinstarter, a leading Web3 launchpad and advisory. The collaboration aims to harness the power of AI and blockchain technology to revolutionize healthcare diagnostics and outcomes.

ZayaAI’s innovative AI software empowers pathologists and researchers in clinical labs to reduce diagnosis times, decrease costs, minimize human error, and ultimately enhance patient care. By integrating blockchain technology, ZayaAI ensures data security, transparency, and improved collaboration across the healthcare ecosystem.

Through the synergy of ZayaAI’s state-of-the-art technology and Enjinstarter’s expertise in Web3 solutions, both companies aspire to enhance the precision and efficiency of pathology diagnostics, setting new standards in healthcare innovation.

Also Read: AMD to Acquire Silo AI to Expand Enterprise AI Solutions Globally

The partnership includes a strategic Initial DEX Offering (IDO) hosted by Enjinstarter, aimed at accelerating the development and deployment of ZayaAI’s cutting-edge diagnostic solutions. This IDO, set to launch September 2024, will provide crucial funding to expand ZayaAI’s reach and impact in the healthcare industry. Early investors will have the opportunity to support ZayaAI’s mission and be part of a transformative journey in medical diagnostics.

Cristian Mogodici, CEO of ZayaAI, expressed his enthusiasm for the partnership: “We are thrilled to join forces with Enjinstarter. Their expertise in Web3 crowdfunding and blockchain technology perfectly complements our vision of driving innovation in healthcare through advanced digital solutions.”

This partnership will leverage Enjinstarter’s robust platform to enhance ZayaAI’s diagnostic solutions, ensuring data integrity and fostering innovation in pathology and beyond. The collaboration will drive the development and deployment of advanced AI tools, bringing transformative changes to the healthcare industry.

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Pacioli.ai will allow the crypto asset space to move into disclosure compliance and allow users to earn income to offset costs.

Auditchain Labs AG, a pioneer in web3 disclosure automation infrastructure, is proud to announce the roll out of Pacioli.ai, a DiPIN, (decentralized physical infrastructure) crypto-asset white paper creation and AI based external validation protocol.

Read More: How AI can help Businesses Run Service Centres and Contact Centres at Lower Costs?

Pacioli.ai enables regulatory compliance for crypto-assets under the new Markets in Crypto-Assets (MiCA) and Virtual Asset Regulatory Authority (VARA) frameworks without the need for expensive structured data experts and systems while avoiding regulatory crypto-asset removal orders from exchanges.

Pacioli.ai features the Luca Suite, a disclosure automation infrastructure for collaborative machine readable crypto-asset white paper, financial, and sustainability disclosure creation. White papers along with embedded financial disclosures are created in the Luca SuiteTM and rendered in the iXBRL format, a machine readable as well as human readable disclosure now mandated under MiCA regulations.

Luca SuiteTM is the basis for, and is the first implementation of the forthcoming Standard Business Report Model specification (“SBRM”) by Object Management Group, (“OMG”). OMG is a global technical standard setter in 27 countries with over 230 member organizations.

Read More: AiThority Interview Series With Scot Marcotte, Chief Technology Officer at Buck

Key Features of Pacioli.ai:

• Automated Compliance: Users can generate white papers that meet the detailed compliance standards of MiCA and VARA without needing specialized regulatory knowledge.
• Machine-Readable Documents: Ensuring all white papers are compliant with the iXBRL formats required for regulatory purposes.
• Collaboration: Users can invite their counsel, accounting firms and CASPs to each contribute disclosure information.
• External Validation: The Pacioli AI Validating Nodes are AI logic and reasoning engines that operate on a decentralized physical infrastructure (DiPIN) network that verify that white papers are complete and compliant.
• Recapture Compliance Costs: Stakeholders can earn income by operating Pacioli AI Validating Nodes and validating compliance.
• Pacioli Explorer: A web3 destination for analysis of the world’s compliant crypto-asset projects and service providers.

“With the introduction of structured disclosure requirements, the crypto-asset industry faces a significant challenge,” said Jason Meyers, Lead Architect of Auditchain Labs AG. Pacioli.ai not only meets this challenge but transforms it into an opportunity to earn income by running Pacioli Nodes while automating and offsetting the cost of compliance with MiCA and VARA for the entire crypto-asset space.”

Pacioli.ai features a variety of subscription levels as well as a freemium version to enable smaller teams to quickly come into compliance with MiCA.

Read More: How Does AI Contribute To Web3 Intelligence?

[To share your insights with us, please write to psen@itechseries.com]

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