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Top 10 The Most Anonymous Cryptocurrency Wallets in 2023 – PhillyBite Magazine

June 17, 2023 | Author: admin

Philadelphia, PA - Anonymous wallets are the most relevant option for storing cryptocurrency since its inception. Such wallets refer to decentralized or non-custodial wallets. Decentralization is a key principle of cryptocurrencies. All blockchain networks are ideally peer-to-peer systems where users work directly with each other without any intermediaries and independent of third-party censorship.

As we move toward 2023, the world of cryptocurrency continues to evolve and grow at an impressive rate. One of the major trends shaping the cryptocurrency space this year is the rise of crypto wallets. These digital wallets are quickly becoming an essential tool for anyone looking to enter the cryptocurrency world, and are playing an increasingly important role in the overall acceptance and use of cryptocurrencies.

Cryptocurrency wallets are essentially digital wallets that allow users to securely store, send and receive cryptocurrencies. They work similarly to traditional bank accounts, but instead of physical currency, they store digital assets such as Bitcoin, Ethereum, and other cryptocurrencies. One of the main advantages of cryptocurrency wallets is that they allow users to retain control over their digital assets without relying on a third party or central authority to manage their transactions.

Many different types of cryptocurrency wallets are available, including hot wallets and cold wallets.

Hot wallets are software wallets connected to the Internet, while cold wallets are hardware devices that are disconnected from the Internet, making them much more secure.

It is an open-source cryptocurrency hardware wallet. Unlike other ways that can be compromised, Trezor is the most secure, secure and anonymous device. It supports the storage, receipt, and transfer of more than 1,400 cryptocurrencies: from Bitcoin to obscure altcoins.

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This is the first created wallet for BTC cryptocurrency. It is considered the most reliable (as confirmed by royaljokerbet.net), but it is quite difficult for beginners.

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Electrum is one of the oldest Bitcoin wallets, that was launched back in 2011. You don't have to download all 400 GB of blockchain. The code is open and available for MS and Android.

While installing, you can create a regular wallet, with two-factor authentication or with a multi-signature wallet. You can also import an existing wallet with private keys.

Pros:

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A non-custodial mobile Bitcoin wallet. Samourai has many non-standard features: Stonewall removes digital footprint from metadata; PayNym hides address from everyone except sender and recipient; Batching reduces mining fees; Scrambled PIN prevents screen hijacking by viruses; remote SMS commands erase and restore crypto accounts in case the smartphone is lost or stolen. The wallet is perfect for experienced users with a strong need for anonymity.

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Bitlox is a credit card-sized hardware cryptocurrency wallet that allows you to store Bitcoin cryptocurrency. It is equipped with a full-fledged alphanumeric keypad, which eliminates the possibility of interception of entered data. It has several levels of security, including PIN authorization and an additional recognition code. The code of the device software is in the public domain.

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Atomic Wallet is a multiplatform cryptocurrency wallet supporting over 500 assets. It refers to decentralized anonymous wallets - no registration is required, and the keys are stored on the user's device. The wallet is supported in several operating systems, including Windows, macOS, Linux, Android, and iOS.

A key feature of this wallet is the Atomic Swaps feature, which allows DeFi exchanges. The wallet supports cryptocurrencies such as Bitcoin and Ethereum and is a suitable platform for novice traders.

The only downside of this wallet is that it does not support hardware wallets. Moreover, it charges a 0.5% fee plus commissions from affiliate exchanges.

ZenGo has a clean interface. This wallet is easy to use, allowing you to enjoy a good user experience. It is possible to buy, sell, exchange, and even save cryptocurrencies without prior knowledge of cryptocurrency. It is also the first cryptocurrency wallet that does not require a key. Instead of passwords, it uses facial recognition technology, which is safer and more convenient. ZenGo Wallet also provides user security when browsing the web. Thus, the risk of losing cryptocurrencies and NFT is reduced.

Guarda is one of the most functional cryptocurrency wallets; it is available on all major mobile and desktop platforms and supports 400,000+ cryptocurrencies and tokens (all assets on 60 blockchains). The wallet is non-custodial, meaning it gives the user complete control over their keys.

The wallet also provides additional features - stacking, crypto loans, token generation service, own token, and referral program. Supports work with hardware wallets (particularly Ledger).

These USB wallets enable users to perform a wide range of functions, including sending and receiving cryptocurrency or running third-party applications on the device. For example, with wallets, users can run two-factor authentication on popular sites such as Real Money Online Casinos, Google and Dropbox.

All Ledger products combine Secure Element and a proprietary operating system designed specifically to protect the user's cryptocurrency assets.

These wallets also use a 24-word sido recovery phrase that can be used to access a user's cryptocurrency assets if the device containing the private key is stolen.

An anonymous decentralized wallet for storing Bitcoin cryptocurrency. It is presented as a desktop application for Windows, Linux, and MacOS operating systems. It has a fully open-source code. The wallet is suitable both for transactions of individuals and for businesses if its owner wants to ensure the privacy of its clients. The main feature of the service is CoinJoin technology built in to anonymize transactions.

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Applied UV Retains Quantiva to Integrate AI and Machine Learning Capabilities into Its PURONet and Airocide Systems – Yahoo Finance

June 17, 2023 | Author: admin

Applied UV, Inc.

Expected by Q4 2023, PURONet and Airocide to Help Address Estimated $400 Billion a Year Post Harvest Crop Lost Due to Spoilage Along Supply Chain

MOUNT VERNON, NY , June 15, 2023 (GLOBE NEWSWIRE) -- via NewMediaWire Applied UV, Inc. (Nasdaq: AUVI) (Applied UV or the Company), a leading provider of advanced food security and air and surface disinfection technology, has engaged Quantiva, a provider of AI-driven consulting and software engineering services and solutions, to support the further development and expansion of the Companys proprietary indoor air quality monitoring software, PURONet.

The initial objective of the collaboration is to leverage Machine Learning and Artificial Intelligence to expand the capabilities of Applied UVs flagship brand, Airocide, a patented air purification technology originally co-developed by the University of Wisconsin for use by NASA to grow crops in space. The Airocide proprietary technology eliminates airborne pathogens including bacteria, viruses, pollen, mold, yeast, allergens, VOCs, and odors and is known globally for its ability to remove ethylene by utilizing Photo-catalytic Oxidation. It is currently used extensively in the post-harvest food preservation supply-chain with global end users such as Delmonte, Whole Foods and Esmerelda Farms to name a few. According to the Food and Agriculture Organization of the United Nations, there is a world-wide estimated $400 billion per year a post-harvest crop loss due to Spoilage along the supply chain.

Quantiva is working with Applied UV to harness the power of diverse data inputs and Artificial Intelligence for integration into both the Companys existing PURONet indoor air monitoring and control software, and the Companys Airocide product line. This more advanced product offering is expected to improve outcomes in the logistical supply chains of growers to distributors, transportation companies, and grocers; significantly reducing the magnitude of food spoilage and loss which adversely impacts countries, companies, and consumers around the world.

Story continues

Applied UV Founder, CEO and Director Max Munn, stated, We are excited about the opportunity to collaborate with Quantiva to advance the development of our proprietary PURONet indoor air monitoring software, particularly in the rapidly growing field of food preservation and food security. The impact of crop loss is felt all around the world, and we believe our proven Airocide brand can help mitigate this loss, improving societal outcomes globally. We look forward to our next-generation product launch which we anticipate being completed in late 2023.

According to Quativa Co-Founder and Managing Director Tammo Mueller, Our quantitative approach to decision-making involves defining and analyzing opportunities and challenges and delivering effective solutions through a rational, systematic, and scientific process, based on data, facts, and logic. The opportunity to address this global post-harvest problem is at the very core of our values, improving societal outcomes. We look forward to working closely with the team at Applied UV.

In a March 2023 presentation, Maximo Torero Cullen, Chief Economist of the United Nations Food and Agriculture Organization (FAO), detailed that approximately $400 billion of food is lost each year between harvest and retail. Moreover, a staggering 31.15% of all fruits and vegetables are lost globally due to high perishability and a lack of adequate intervention strategies. The majority of these perennial crop losses are due to spoilage and the effects ethylene has in the degradation of high value crops all along the supply chain.

Mr. Torero predicted that solutions to the global challenge of food loss and waste will require the deployment of context-appropriate and resource efficient technologies together with innovation down the food chain that leverages the collection and real-time utilization of a broad array of economic and environmental data.

For more information about the presentation, click on the following link: https://issuu.com/horticulturaposcosecha/docs/maximo_torero_cullen_current_status_of_food_loss_a

About Quantiva

Quantiva empowers businesses with groundbreaking AI-driven solutions and strategic product development, facilitating innovative growth and agility in regulated environments. Quantivas team of business-focused technologists have provided consulting and software engineering services for a long list of companies including such names as Institutional Shareholder Services (ISS), Siemens, UP Medical, Quantitative Radiology Solutions, and The United Nation. Quantiva is a hands-on, full product lifecycle technology consultancy & digital transformation solution provider with expertise in delivering innovation strategies tailored for multiple industries. Quantivas business category focus includes Banking/Finance, Commerce, Healthcare, Media Ownership & Royalty solutions, Supply Chain Management, and Critical Infrastructure solutions. Quantiva partners with clients to formulate business and product strategies all the way to final implementation, to reimagine processes and platforms to maximize efficiency, ensure legal compliance, and deliver maximum ROI. For more information on Quantiva, please visit https://www.quantiva.co/

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About Applied UV

Applied UV, Inc., provides proprietary surface and air pathogen elimination and disinfection technology focused on Improving Indoor Air Quality (IAQ), specialty LED lighting and luxury mirrors and commercial furnishings all of which serves clients globally in both the commercial and retail segments. For information on Applied UV, Inc., and its subsidiaries, please visit https://www.applieduvinc.com.

Forward-Looking Statements

The information contained herein may contain forwardlooking statements. Forwardlooking statements reflect the current view about future events. When used in this press release, the words anticipate, believe, estimate, expect, future, intend, plan, or the negative of these terms and similar expressions, as they relate to us or our management, identify forwardlooking statements. Such statements include, but are not limited to, statements contained in this press release relating to the view of management of Applied UV concerning its business strategy, future operating results and liquidity and capital resources outlook. Forwardlooking statements are based on the Companys current expectations and assumptions regarding its business, the economy and other future conditions. Because forwardlooking statements relate to the future, they are subject to inherent uncertainties, risks and changes in circumstances that are difficult to predict. The Companys actual results may differ materially from those contemplated by the forwardlooking statements. They are neither statements of historical fact nor guarantees of assurance of future performance. We caution you therefore against relying on any of these forwardlooking statements. Factors or events that could cause the Companys actual results to differ may emerge from time to time, and it is not possible for the Company to predict all of them. The Company cannot guarantee future results, levels of activity, performance, or achievements. Except as required by applicable law, including the securities laws of the United States, the Company does not intend to update any of the forwardlooking statements. References and links to websites have been provided as a convenience, and the information contained on such websites is not incorporated by reference into this press release.

For additional Company Information:

Applied UV Inc.Max MunnApplied UV Founder, CEO & Directormax.munn@sterilumen.com

Investor Relations Contact:

TraDigital IR

Kevin McGrath+1-646-418-7002kevin@tradigitalir.com

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Applied UV Retains Quantiva to Integrate AI and Machine Learning Capabilities into Its PURONet and Airocide Systems - Yahoo Finance

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Quantum Machine Learning: The Next Evolutionary Step in AI … – CityLife

June 17, 2023 | Author: admin

Quantum Machine Learning: The Next Evolutionary Step in AI Development

Quantum machine learning is poised to become the next evolutionary step in artificial intelligence (AI) development, as researchers and tech giants alike are exploring the potential of quantum computing to revolutionize the field of machine learning. This cutting-edge technology promises to significantly accelerate the processing power of computers, allowing them to solve complex problems and analyze vast amounts of data in a fraction of the time it takes for classical computers. As a result, quantum machine learning has the potential to unlock new possibilities in various industries, from healthcare and finance to transportation and cybersecurity.

One of the primary reasons behind the growing interest in quantum machine learning is the exponential increase in the amount of data being generated worldwide. According to recent estimates, the global datasphere is expected to grow to 175 zettabytes by 2025, a staggering figure that highlights the need for more efficient data processing and analysis methods. Traditional machine learning algorithms, which rely on classical computers, are becoming increasingly inadequate to handle such massive volumes of data. Quantum computers, on the other hand, leverage the principles of quantum mechanics to perform multiple calculations simultaneously, thereby offering a potential solution to the data processing bottleneck.

In addition to their unparalleled processing power, quantum computers also possess unique capabilities that can enhance the performance of machine learning algorithms. For instance, they can exploit quantum entanglement, a phenomenon that allows particles to be correlated in such a way that the state of one particle instantly influences the state of another, regardless of the distance between them. This property can be harnessed to create more accurate and efficient machine learning models, as it enables quantum computers to explore a vast search space of possible solutions more quickly than classical computers.

Moreover, quantum machine learning can also benefit from another key aspect of quantum mechanics known as superposition. This principle allows quantum bits, or qubits, to exist in multiple states simultaneously, as opposed to classical bits that can only be in a state of 0 or 1. By leveraging superposition, quantum computers can perform parallel computations, which can significantly speed up the training of machine learning models and enable them to tackle more complex tasks.

Despite the immense potential of quantum machine learning, there are several challenges that need to be addressed before this technology can be fully realized. One of the main obstacles is the development of stable and scalable quantum hardware, as current quantum computers are prone to errors and can only operate at extremely low temperatures. Additionally, there is a need for new quantum algorithms that can take full advantage of the unique properties of quantum computers while minimizing the impact of hardware limitations.

Another challenge lies in the integration of quantum machine learning with existing AI systems and workflows. This will require the development of new software tools and programming languages that can bridge the gap between classical and quantum computing, as well as the training of a new generation of AI researchers and engineers who are well-versed in both fields.

In conclusion, quantum machine learning represents a promising avenue for the future of AI development, as it has the potential to overcome the limitations of classical computing and unlock new possibilities in various industries. However, realizing this potential will require significant advances in quantum hardware, algorithms, and integration with existing AI systems. As researchers and tech giants continue to invest in this emerging field, it is clear that quantum machine learning is poised to become the next evolutionary step in AI development, heralding a new era of innovation and discovery.

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Unveiling Sleepdrop: The New Cryptocurrency Deception Plaguing Digital Wallets – Crypto Mode

June 17, 2023 | Author: admin

In the burgeoning realm of cryptocurrency, a novel form of scam christened as the Sleepdrop, has recently been identified by the members of the Forta network. This scam has unfortunately claimed a considerable number of victims, primarily targeting unsuspecting users who unknowingly engage with unexpected tokens appearing to originate from legitimate contracts in their wallets. The risks these airdropped tokens pose are severe and immediate.

Raising the alarm about this escalating issue, Forta network took to Twitter last Thursday, shedding light on the Sleepdrop operation. They revealed that the scams modus operandi revolves around impersonating genuine tokens an underhanded technique resembling the sleepminting phenomenon seen with NFTs.

The prime targets, however, have been identified as ERC-20 tokens. Notable impersonated tokens include those from Uniswap, Chainlink, Lido, Circle, and others.

To weave their web of deceit, these digital charlatans airdrop counterfeit tokens to numerous individuals. This masquerade gives an impression of the tokens originating directly from the authentic contract, thereby preying on the trust of unsuspecting users.

When users unknowingly link their wallets to the deceptive website, they authorize a transaction under the guise of connecting to a decentralized application (Dapp). In reality, this transaction merely triggers the contracts connect function, initiating a minuscule ETH transfer.

The next step for these scammers involves executing an ice phishing attack, hoodwinking victims into swapping their freshly received tokens with the primary legitimate ones. The outcome is a smart contract surreptitiously pilfering ETH from the victims wallet.

Forta, the trailblazer in identifying the scam, is a renowned Web3 security solution providing a real-time detection network that scrutinizes blockchain activity. Its network comprises a decentralized amalgamation of independent node operators. These operators vigilantly scan transactional activities and block changes for potential threats.

In the wake of this discovery, the Forta community has been proactive in amassing a database of Sleepdropper addresses and scam URLs that pose a risk. The organization recently announced a bounty on Friday to incentivize the detection of Sleepdropping activities. The Forta Foundation has committed to cover the initial costs of Bot deployment, including staking, with the bounty to be rewarded in the FORT token.

The emergence of Sleepdrop is just the tip of the iceberg in the ever-evolving panorama of crypto scams. Yet, amidst the rising tide of threats, most crypto users can stay relatively secure.

None of the information on this website is investment or financial advice and does not necessarily reflect the views of CryptoMode or the author. CryptoMode is not responsible for any financial losses sustained by acting on information provided on this website by its authors or clients. Always conduct your research before making financial commitments, especially with third-party reviews, presales, and other opportunities.

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Machine Learning as a Service Market to Predicts Huge Growth by … – Reedley Exponent

June 17, 2023 | Author: admin

HTF Market Intelligence published a new research document of 150+pages on Machine Learning as a Service Market Insights, to 2028 with self-explained Tables and charts in presentable format. In the Study you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market associated stakeholders. The growth of the Machine Learning as a Service market was mainly driven by the increasing R&D spending by leading and emerging player, however latest scenario and economic slowdown have changed complete market dynamics. Some of the key players profiled in the study are Google [United States], IBM Corporation [United States], Microsoft Corporation [United States], Amazon Web Services [United States], BigML [United States], FICO [United States], Yottamine Analytics [United States], Ersatz Labs [United States], Predictron Labs [United Kingdom], H2O.ai [United States], AT&T [United States], Sift Science [United States]

According to HTF Market Intelligence, the Global Machine Learning as a Service market to witness a CAGR of 39.25% during forecast period of 2023-2028. The market is segmented by Global Machine Learning as a Service Market Breakdown by Application (Network Analytics and Automated Traffic Management, Augmented Reality, Predictive Maintenance, Fraud Detection and Risk Analytics, Marketing and Advertising, Others) and by Geography (North America, South America, Europe, Asia Pacific, MEA). The Machine Learning as a Service market size is estimated to increase by USD 288.71 Million at a CAGR of 39.25% from 2023 to 2028. The report includes historic market data from 2017 to 2022E. Currently, market value is pegged at USD 13.95 Million.Get an Inside Scoop of Study, Request now for Sample Study @ https://www.htfmarketintelligence.com/sample-report/global-machine-learning-as-a-service-market

Definition:The Machine Learning as a Service (MLaaS) market refers to the provision of cloud-based platforms or services that enable organizations to leverage machine learning capabilities without the need for in-house expertise, infrastructure, or data storage. MLaaS providers offer a range of services, including tools for data preprocessing, model training and evaluation, deployment, and maintenance. The market also includes providers of pre-built machine learning models, APIs, and software development kits (SDKs) that enable developers to build intelligent applications and automate business processes. MLaaS can help organizations of all sizes to reduce the cost and complexity of adopting machine learning and accelerate their time-to-market for AI-powered solutions.

Market Trends:

Growing Adoption of Machine Learning Services in Healthcare and Research Oriented Marketing Campaigns and Customer-centric Communication

Market Drivers:

Lack of Technical Expertise to Deploy Machine Learning Services

MarketOpportunities:

Increasing Data Volume and Growing IoT Application and Consistent Retraining of Algorithms

The titled segments and sub-section of the market are illuminated below:

The Study Explore the Product Types of Machine Learning as a Service Market:

Key Applications/end-users of Machine Learning as a Service Market: Network Analytics and Automated Traffic Management, Augmented Reality, Predictive Maintenance, Fraud Detection and Risk Analytics, Marketing and Advertising, Others

Book Latest Edition of Global Machine Learning as a Service Market Study @ https://www.htfmarketintelligence.com/buy-now?format=1&report=592

With this report you will learn:

Also included in the study are profiles of 15 Machine Learning as a Service vendors, pricing charts, financial outlook, swot analysis, products specification &comparisons matrix with recommended steps for evaluating and determining latest product/service offering.

List of players profiled in this report: Google [United States], IBM Corporation [United States], Microsoft Corporation [United States], Amazon Web Services [United States], BigML [United States], FICO [United States], Yottamine Analytics [United States], Ersatz Labs [United States], Predictron Labs [United Kingdom], H2O.ai [United States], AT&T [United States], Sift Science [United States]

Who should get most benefit from this report insights?

Make an enquiry to understand outline of study and further possible customization in offering https://www.htfmarketintelligence.com/enquiry-before-buy/global-machine-learning-as-a-service-market

Quick Snapshot and Extracts from TOC of Latest Edition

Overview of Machine Learning as a Service Market

Machine Learning as a Service Size (Sales Volume) Comparison by Type (2023-2028)

Machine Learning as a Service Size (Consumption) and Market Share Comparison by Application (2023-2028)

Machine Learning as a Service Size (Value) Comparison by Region (2023-2028)

Machine Learning as a Service Sales, Revenue and Growth Rate (2023-2028)

Machine Learning as a Service Competitive Situation and Current Scenario Analysis

Strategic proposal for estimating sizing of core business segments

Players/Suppliers High Performance Pigments Manufacturing Base Distribution, Sales Area, Product Type

Analyse competitors, including all important parameters of Machine Learning as a Service

Machine Learning as a Service Manufacturing Cost Analysis

Latest innovative headway and supply chain pattern mapping of leading and merging industry players

Get Detailed TOC and Overview of Report @

https://www.htfmarketintelligence.com/report/global-machine-learning-as-a-service-market

Thanks for reading this article; you can also get individual chapter-wise sections or region-wise report versions like North America, MINT, BRICS, G7, Western / Eastern Europe, or Southeast Asia. Also, we can serve you with customized research services as HTF MI holds a database repository that includes public organizations and Millions of Privately held companies with expertise across various Industry domains.

About Us:

HTF Market Intelligence is a leading market research company providing end-to-end syndicated and custom market reports, consulting services, and insightful information across the globe. HTF MI integrates History, Trends, and Forecasts to identify the highest value opportunities, cope with the most critical business challenges and transform the businesses. Analysts at HTF MI focuses on comprehending the unique needs of each client to deliver insights that are most suited to his particular requirements.

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New book documents Indias financial revolution through cryptocurrency – ThePrint

June 17, 2023 | Author: admin

New Delhi: Cryptos are a concept whose time has come. As a result, no central bank today dares to impose a complete and total ban on them. With Bitcoin, a revolution started which is now worth a trillion dollars and several other virtual currencies worth billions.

Sundeep Khannas Cryptostorm: How India Became Ground Zero of a Financial Revolution, the first book about the crypto storm sweeping India, tells the experiences of regular individuals whose lives have been affected and, in some cases, irreparably changed by the promise and menace of cryptos.

The individuals portrayed in this book represent a new India where they believe they have found ways to enhance their lives independently from government and regulatory interventions. It is crucial to listen to their perspective as it echoes the future we should not disregard.

Published by Harper Collins India, Cryptostorm: How India Became Ground Zero of a Financial Revolution by Sundeep Khanna will be released on 22 June in the Prints SoftCover.

In his book, Khanna emphasised why young Indians are disenchanted with traditional finance and its institutions.

Writing Cryptostorm was a voyage of discovery during the course of which I realized that the speed at which the trend has swept through India is a warning that people, particularly the young, are disenchanted with traditional finance and its institutions, he explained.

A business journalist by profession, Khanna regularly writes columns for Money Control and Livemint. His books include The Liberalization Story, a compilation of essays that explores a pivotal moment in Indian business history. Additionally, he collaborated on Azim Premji: The Man Beyond the Billions, a biography that delves into the life of a globally recognized philanthropist.

Also read: New book explores how Ambedkar was guided by pragmatism of American philosopher John Dewey

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Names of collapsed cryptocurrency FTX customers can remain secret, bankruptcy judge rules – Fox Business

June 17, 2023 | Author: admin

Disgraced FTX founder Sam Bankman-Fried now faces 13 charges related to the collapse of his cryptocurrency empire. He has pleaded not guilty to all counts.

The names of customers who used the since-collapsed cryptocurrency FTX Exchange can remain secret permanently, a bankruptcy judge in Delaware ruled Friday.

Several media outlets who had argued there is a"compelling and legitimate interest"in the names and the U.S. bankruptcy trustee had challenged FTXs request to keep customers names from public view.

Judge John Dorsey ruled the identities of FTXs customers are a "trade secret."

"Its the customers that are the most important issue here," Dorsey said. "I want to make sure that they are protected and they dont fall victim to any types of scams that might be happening out there."

SAM BANKMAN-FRIED DIRECTED $40M CRYPTOCURRENCY BRIBE TO CHINESE OFFICIALS, FEDERAL PROSECUTORS ALLEGE

FTX filed for bankruptcy in November. (AP Photo/Marta Lavandier, File / AP Newsroom)

Dorsey said customers could have their personal information stolen by scammers searching the "dark web" if their identities were revealed.

Brian Glueckstein, who represented FTX, also argued that "the debtors are in a position to realize value from these customer lists," adding that the customer list is a valuable asset to the organization.

FTX TRANSFERRED $2.2B TO SAM BANKMAN-FRIED, NEW MANAGEMENT SAYS

But Dorsey said that the names of creditors or equity holders from the U.K. and European Union (and covered under a consumer protection program known as the General Data Protection Regulation) can be released, saying there is no evidence they would be harmed by a disclosure.

This illustration photo shows a smartphone screen displaying the logo of FTX, a former cryptocurrency exchange platform. (Olivier Douliery /AFP via Getty Images, File / Getty Images)

Kate Townsend, who represented the media outlets, had argued FTXs collapse last year, "sent shock waves not just through the cryptocurrency industry, but the entire financial industry. And at this point, we dont even know where the shock waves, both individually and institutionally, have hit the hardest, and what institutions may have the largest, or no, exposure as a result."

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Dorsey had previously ruled in January that FTX could redact customer information from court filings for 90 days.

FTX filed for bankruptcy last November and its founder Sam Bankman-Fried has been accused by federal prosecutors ofmisleading FTX investors and lenders, andstealing billions of dollarsin customer funds.

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He has pleaded not guilty to 13 federal charges and remains on house arrest at his parents' California home on a $250 million bond until his trial, which is slated for October.

Fox Business' Breck Dumas and Landon Mion, and the Associated Press contributed to this report.

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Cryptocurrency Bitcoin Cash Rises More Than 3% In 24 hours – Benzinga

June 17, 2023 | Author: admin

June 13, 2023 3:00 PM | 1 min read

Over the past 24 hours, Bitcoin Cash's (CRYPTO: BCH) price has risen 3.83% to $105.89. This is contrary to its negative trend over the past week where it has experienced a 5.0% loss, moving from $111.1 to its current price. As it stands right now, the coin's all-time high is $3,785.82.

The chart below compares the price movement and volatility for Bitcoin Cash over the past 24 hours (left) to its price movement over the past week (right). The gray bands are Bollinger Bands, measuring the volatility for both the daily and weekly price movements. The wider the bands are, or the larger the gray area is at any given moment, the larger the volatility.

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The trading volume for the coin has tumbled 31.0% over the past week while the circulating supply of the coin has risen 0.15%. This brings the circulating supply to 19.42 million, which makes up an estimated 92.47% of its max supply of 21.00 million. According to our data, the current market cap ranking for BCH is #29 at $2.06 billion.

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Exploring the integration of artificial intelligence (AI) and machine learning (ML) capabilities in D365 – Security Boulevard

June 17, 2023 | Author: admin

AI and ML in D365

Microsoft has embedded AI and ML capabilities across multiple modules of D365 to augment its functionality and provide users with intelligent insights and automation.

Lets explore some key areas where AI and ML are integrated:

Sales and Marketing

In the sales and marketing modules of D365, AI-powered features enable businesses to enhance customer engagement, personalize marketing campaigns, and identify sales opportunities. ML algorithms analyze customer data, social media interactions, and historical buying patterns to generate predictive lead scoring, recommend personalized product offerings, and optimize marketing strategies. This results in improved targeting, increased conversion rates, and more effective customer segmentation.

Customer Service

D365 leverages AI and ML to improve customer service experiences. Chatbots with natural language processing (NLP) capabilities can understand and respond to customer queries, providing quick and accurate resolutions. ML algorithms analyze customer feedback and sentiment to gauge customer satisfaction levels, allowing organizations to proactively address any issues. This leads to enhanced customer support, reduced response times, and increased customer satisfaction.

Field Service

ML algorithms in D365s Field Service module enable predictive maintenance by analyzing historical data and identifying patterns that indicate equipment failures. This helps organizations optimize maintenance schedules, reduce downtime, and improve operational efficiency. By leveraging AI-powered insights, field service teams can proactively address potential issues, minimize service disruptions, and deliver better service quality.

Finance and Operations

AI and ML capabilities in D365s Finance and Operations modules assist in automating and streamlining financial processes. These include fraud detection, predictive cash flow analysis, intelligent forecasting, and supply chain optimization based on demand patterns and market trends. By leveraging AI and ML, organizations can optimize financial decision-making, reduce risks, and improve overall operational efficiency.

Also Read: Streamlining business operations with D365 Business Central workflows

The integration of AI and ML in D365 offers several significant benefits to businesses:

Enhanced Efficiency

Automation and intelligent algorithms enable businesses to improve efficiency by reducing manual efforts and streamlining processes. Tasks such as data entry, report generation, and customer inquiries can be automated, allowing employees to focus on higher-value tasks and strategic decision-making.

Personalized Experiences

AI and ML capabilities enable D365 to deliver personalized experiences to customers. By analyzing vast amounts of customer data, businesses can tailor their interactions, offers, and recommendations based on individual preferences. This personalized approach increases customer satisfaction, strengthens customer relationships, and drives customer loyalty.

Smarter Decision-Making

With AI and ML insights, organizations can make data-driven decisions based on accurate predictions and trends. By analyzing large datasets, identifying patterns, and generating actionable insights, D365 empowers businesses to identify emerging opportunities, optimize operations, and proactively address potential risks.

Improved Customer Service

The integration of AI-driven chatbots and sentiment analysis tools in D365s customer service modules enhances response times, provides 24/7 support, and improves the overall customer experience. Chatbots can handle routine inquiries and provide instant support, while sentiment analysis tools help organizations gauge customer satisfaction levels and address any issues promptly.

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Exploring the integration of artificial intelligence (AI) and machine learning (ML) capabilities in D365 - Security Boulevard

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Maha man gets back Rs 36 lakh he lost to cryptocurrency fraud a year ago as police track down offender – The Financial Express

June 17, 2023 | Author: admin

A mobile shop owner residing in Maharashtras Thane district, who lost Rs 36 lakh in a cryptocurrency fraud more than a year ago, has got his entire amount back after the police cracked the case and found that a Chinese national was involved in the offence, an official said on Friday. The probe into the case was conducted by the cyber cell of the Mira Bhayandar-Vasai Virar (MBVV) police commissionerate, he said.

Sujitkumar Gunjkar, senior inspector of the MBVV cyber cell, said the victim was lured into cryptocurrency trading in February 2022 after he joined a WhatsApp group involving cryptocurrency traders. The group administrator, a woman, got in touch with him and sought investments in the cryptocurrency promising goods returns. Falling prey to the tactics, the victim invested the money through a mobile app and bought cryptocurrency worth USD 39,596, he said.

However, in May last year, the WhatsApp group was stopped and despite several attempts, he failed to contact the group administrator, the official said. The victim then realised that he has been cheated. After that, he approached the cyber police and lodged a complaint. A probe was launched and worked on various leads. During the process, the police came across OKX, a Seychelles-registered cryptocurrency exchange, Gunjkar said.

During the probe, the police came across a suspicious cryptocurrency wallet. The police contacted OKX and came to know that the wallet belonged to a Chinese national, he added. A cryptocurrency wallet is software or hardware that comes in many shapes and sizes, enabling users to store and use cryptocurrency.

Based on the complaint and the inquiry, an offence under section 420 (cheating), 34 (common intention) of the Indian Penal Code (IPC) was registered at the Kashimira police station, the official said. The cyber cell then approached the local court with the details of the offence and their findings. They informed the court that the victims money was in the wallet of the Chinese national and the numbers from which the victim was contacted were from Hong Kong, he said.

After going through the submissions made by the cyber cell, the court ordered that the Rs 36 lakh in the form of cryptocurrency be returned to the complainant. Accordingly, the amount was recovered and given back to the victim a couple of days back, he said.

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Maha man gets back Rs 36 lakh he lost to cryptocurrency fraud a year ago as police track down offender - The Financial Express

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