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Penguin Releases the Decentralized Data Network for Web3.0

Penguin | January 03, 2022

Recently, Penguin team has announced the launch of their decentralized data network for Web3.0. With the advancement of blockchain technology, some innovative new players are entering the market. Some are bringing the offline world to a global audience, while others transform the way we invest in our future. Decentralized applications, DeFi, NFTs, and the Metaverse, hold immense potential for future growth and real-world uses. But what the current crypto arena lacks is an independent & one-stop web service that includes a high-performance smart contract blockchain together with a decentralized storage solution. The Penguin network brings in a universal decentralized data network specifically designed for Web 3.0.

Penguin - The Decentralized Storage Platform

Exclusively designed for Web 3.0, Penguin is a peer-to-peer network of nodes, which jointly provides decentralized storage and communication service. By offering a universal decentralized data network for Web3.0, the platform can fulfill multiple roles for different areas of blockchain space. Moreover, Penguin aims to work with the blockchain industry to create decentralized applications (DApps), products, and services seamlessly accessible in Web 3.0.

A unique feature of the platform is that it offers automatic scaling; that is, an increase in storage space demand would be efficiently handled. This will eventually lead to a lowering of costs for the blockchain arena. Penguin also facilitates efficient data storage capabilities and quick data retrieval. The network is economically automated with a native protocol token, PEN, thanks to its built-in smart-contract-based incentive system.

Therefore, the purported goal of the platform is to extend the blockchain by utilizing decentralized storage and communication to position itself as a world computer that can efficiently serve as an operating system and deployment environment for dApps.

Web 3.0 - The Decentralized Internet of the Future

Web 3.0 is not merely a buzzword that tech, crypto, and venture-capital classes have become interested in lately. It aims to provide a future where distributed users and machines can seamlessly interact with data, value, and other counterparties through peer-to-peer networks, eliminating the need for any third parties. It is built majorly on three novel layers of technological innovation. Those are edge computing, decentralized data networks, and artificial intelligence. Web 3.0, built on blockchain, eliminates all big intermediaries, including centralized governing bodies or repositories.

Moreover, the most significant evolution enabled by Web 3.0 is the minimization of the trust required for coordination on a global scale. It fundamentally expands the scale and scope of human and machine interactions to a far new level. These interactions range from easy payments to richer information flows and trusted data transfers, all without passing through a fee-charging intermediary.

Web 3.0 enhances the current internet service with significant characteristics like trustless, verifiable, permissionless, self-governing, etc. This is why a permissionless, decentralized blockchain like Penguin plays a pivotal part in developing the so-called "decentralized internet of the future." Decentralized data networks like Penguin make it possible for data generators to store or sell their data without losing ownership control, compromising privacy, or reliance on intermediaries or go-betweens.

Blockchain Technology and Web 3.0

Blockchain technology and cryptocurrencies have always been an integral part of Web3.0. It provides financial incentives for anyone who wants to create, govern, contribute, or improve projects. Today the internet needs Web 3.0, a new generation of the Internet protocol that facilitates free identity, free contracts, and free assets. Blockchain technology with its advanced network fundamentals offers a near-perfect solution with in-built smart contracts for self-deployment and access, decentralized addresses as accounts, etc. Penguin, the decentralized data network, provides an available decentralized private data storage solution for all Web3.0 developers.

How Does Penguin Benefit The Development Of Web 3.0

Today we live in a data-driven world, where companies often collect massive amounts of user data and use this data with the intent to deliver value. Data privacy has become a greater concern over the past few years. However, the Internet ecosystem has fundamentally changed several concerns like data privacy and storage. This is referred to as Web 3.0, and it ensures this by deploying blockchain.

Penguin primarily focuses on data storage with zero downtime. It also features permanent versionable content storage, zero error operation, and resistance to intermittent disconnection of nodes.

With its exceptional privacy attributes like anonymous browsing, deniable storage, untraceable messaging, and file representation formats that leak no metadata, Penguin meets with the growing security demand on the web. Penguin also offers continuous service and resilience against outages or targeted attacks. The platform facilitates the creation of many products, where all products rely on APIs and SDKs provided by Penguin.

Penguin - An Infrastructure for A Self-Sovereign Society

Penguin is more than just a network; the protocol sets a strong foundation for creating a market economy around data storage and retrieval. The platform also has entered into a host of prospective and strategic partnerships and collaborations with different projects and protocols in the DeFi, GameFi, NFTs, smart contract, and other metaverse spaces. Moreover, as a platform for permissionless publication, the Penguin network promotes information freedom. The platform’s design requirements can only be met by the network native token PEN.

Some of the significant features that Web 3.0 offers are zero central point of control by removing intermediaries, complete ownership of data, sharing information in a permissionless manner, reducing hacks and data breaches with decentralized data, and interoperability.

On the other hand, Penguin aims to build an infrastructure for a self-sovereign society. Without permission and privacy, Penguin efficiently meets the needs of freedom of speech, data sovereignty, open network market, and ensuring its security through integrity protection, censorship resistance, and attack resilience.

Some of its vital meta values are Inclusivity, the need to include the underprivileged in the data economy, lowering the barrier of entry to explain complex data flows, and building decentralized applications.

The integrity of the online persona is necessary. Because Penguin is a network with open participation and offers services and permissionless access to publishing, sharing, and investing your data, users have complete freedom to express their intention and have full authority to decide whether they want to remain anonymous or share interactions.

Incentivization or economic incentives ensure that participants' behavior aligns with the network's desired emergent behavior. Finally, Impartiality guarantees content neutrality and prevents gate-keeping. It successfully rules out other values that treat any particular group as a privileged or express preference for specific content or even data from any specific source. These meta values make Penguin an efficient decentralized, permissionless data network for Web 3.0.

Penguin’s Future-Proof Design Principles - Meeting the Needs of Web 3.0

The information society and data economy have ushered in an era where online transactions and big data are pivotal for everyday life. Therefore, it is essential to have a future-proof and advanced supporting technology like Penguin. The network offers a strong guarantee for continuity. The Penguin network ensures continuity by following some general requirements or system attributes. Some of them are stable and resilient specifications and software implementation. Scalable enough to accommodate many orders of magnitude, more users, and data without lowering the performance or reliability for mass adoption, secure and resilient solution to deliberate attacks, Penguin is a self-sustaining autonomous solution that is independent of human or organizational coordination or any legal entity's business.

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Kinetica Redefines Real-Time Analytics with Native LLM Integration

Kinetica | September 22, 2023

Kinetica, a renowned speed layer for generative AI and real-time analytics, has recently unveiled a native Large Language Model (LLM) integrated with Kinetica's innovative architecture. This empowers users to perform ad-hoc data analysis on real-time, structured data with the ease of natural language, all without the need for external API calls and without data ever leaving the secure confines of the customer's environment. This significant milestone follows Kinetica's prior innovation as the first analytic database to integrate with OpenAI. Amid the LLM fervor, enterprises and government agencies are actively seeking inventive ways to automate various business functions while safeguarding sensitive information that could be exposed through fine-tuning or prompt augmentation. Public LLMs, exemplified by OpenAI's GPT 3.5, raise valid concerns regarding privacy and security. These concerns are effectively mitigated through native offerings, seamlessly integrated into the Kinetica deployment, and securely nestled within the customer's network perimeter. Beyond its superior security features, Kinetica's native LLM is finely tuned to the syntax and industry-specific data definitions, spanning domains such as telecommunications, automotive, financial services, logistics, and more. This tailored approach ensures the generation of more reliable and precise SQL queries. Notably, this capability extends beyond conventional SQL, enabling efficient handling of intricate tasks essential for enhanced decision-making capabilities, particularly for time-series, graph, and spatial inquiries. Kinetica's approach to fine-tuning places emphasis on optimizing SQL generation to deliver consistent and accurate results, in stark contrast to more conventional methods that prioritize creativity but yield diverse and unpredictable responses. This steadfast commitment to reliable SQL query outcomes offers businesses and users the peace of mind they deserve. Illustrating the practical impact of this innovation, the US Air Force has been collaborating closely with Kinetica to leverage advanced analytics on sensor data, enabling swift identification and response to potential threats. This partnership contributes significantly to the safety and security of the national airspace system. The US Air Force now employs Kinetica's embedded LLM to detect airspace threats and anomalies using natural language. Kinetica's database excels in converting natural language queries into SQL, delivering responses in mere seconds, even when faced with complex or unfamiliar questions. Furthermore, Kinetica seamlessly combines various analytics modes, including time series, spatial, graph, and machine learning, thereby expanding the range of queries it can effectively address. What truly enables Kinetica to excel in conversational query processing is its ingenious use of native vectorization. In a vectorized query engine, data is organized into fixed-size blocks called vectors, enabling parallel query operations on these vectors. This stands in contrast to traditional approaches that process individual data elements sequentially. The result is significantly accelerated query execution, all within a smaller compute footprint. This remarkable speed is made possible by the utilization of GPUs and the latest CPU advancements, which enable simultaneous calculations on multiple data elements, thereby greatly enhancing the processing speed of computation-intensive tasks across multiple cores or threads. About Kinetica Kinetica is a pioneering company at the forefront of real-time analytics and is the creator of the groundbreaking real-time analytical database specially designed for sensor and machine data. The company offers native vectorized analytics capabilities in the fields of generative AI, spatial analysis, time-series modeling, and graph processing. A distinguished array of the world's largest enterprises spanning diverse sectors, including the public sector, financial services, telecommunications, energy, healthcare, retail, and automotive industries, entrusts Kinetica to forge novel solutions in the realms of time-series data and spatial analysis. The company's clientele includes various illustrious organizations such as the US Air Force, Citibank, Ford, T-Mobile, and numerous others.

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