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AI-powered People Analytics Tool that can change Employee … – TechiExpert.com

May 12, 2023 | Author: admin

Introduction about the founders

Flowace was co-founded in 2017 by brothers Tarun and Varun Kodnani. Tarun did MTech from London and Varun did his undergrad from London too.

We were in a spot of bother when we tried reviving our previous fresh out-of-college venture Cabzo, an app-based taxi service. This eventually led us to create Flowace, a time-tracking and billing management platform that summarizes the duration a user has spent on different work activities.

We felt there was a need to develop a product that could help manage timesheets in an automated way. The formation of Flowace dawned upon us.

The founders, along with the teams dedication and hard work, have bestowed us with the Best Workforce Automation Tool for BPOs Award, at the 11th edition of the BPO Innovation Summit held recently amongst other industry accolades.

Currently, the company is offering four products.

Time tracking and productivity tool can be used for billing and also assessing the cost vs benefit analysis in the organization. Per client, profitability can be tracked once the cost analysis is done and the companies can go to their clients and present the same to either increase the retainers or reduce the scope by which one can improve the overall profitability per client so that the overall profits of the company goes up.

Flowace has helped firms with data management, data mining and keeping a check on productivity. The time management feature has helped clients keep a check on productivity because the software auto-stamps the time itself.

The key features of Flowace are that it automates workflow so that all processes can be easily managed in one place. We are a leading player in developing workforce automation tools in the BPO industry. Our software accurately tracks employee efficiency and helps in re-assigning tasks to increase productivity. It maximizes billable hours and shores up profitability for BPOs.

How do you measure and improve employee productivity?

We are not an employee monitoring or micromanagement tool. We believe in Peter Druckers powerful words You cannot improve what you cant measure. Like how we measure our fitness and weight, its imperative to measure our time consumption at work. Our primary purpose is to Measure, Analyze, Upskill & Grow.

Even though the product was started as a time tracking tool and has eventually moved to productivity which has two more aspects to be added like focus and efficiency. There is a clear proof of improving productivity by 31% in three to six months after implementing Flowace in their organisations, besides saving half an hour on a daily basis by reducing distractions of employees.

This product leads to better appraisal systems in organisations. Underdogs and dark knights are identified in the organisations and can build recognition system for the employees. The companies have started issuing badges to best performers based on the three parameters built in the product like time, focus and efficiency and the employees have started vying for the same on a very competitive level.

Which industry verticals are you currently focusing on?

We started to build the platform for lawyers but realised that this is universal. It could be used by chartered accountants, financial firms and even general firms

The platform has found takers among law, professional services, IT Services, KPOs, BPOs, and CA firms.

Our platform is currently trusted by more than 35,000 users. The clientele includes digite, egis, University Living, codemantra and Function Up, amongst others.

How has been the growth trajectory of Flowace since inception?

Our growth trajectory has always been on an upward curve since our inception.

We have come a long way since our initial investment was Rs. 20 lakh from the family and recently the company raised $ 1.50 million pre-series fund from friends and families.

We believe in complete autonomy for users. Our tool that allows users and employers to track the time spent on different tasks is a testament to that.

Any new products in the pipeline?

The company is currently working on building Engineering Dashboard for IT product companies to integrate all the functions in building products like developer environment, Q and A environment, staging environment and Production environment.

There are many companies offering solutions in individual segments of whole product building environment but none of them have an integrated product that can fast-track the whole product-building process. Our product would provide and integrated SOP for product building by avoiding any conflicts in the whole process to speed up product development.

These are called DORA Metrics. This product is available in the US for the last five years but it is going to be a unique product for the Indian market. Now the market is demanding for this product and we are actively building this product and will launch it soon.

Our vision is to build a global company and take these products to international markets as the biggest market is there. We are currently working with two companies in USA AWS and Ergode.

Few words about Techiexpert

Techiexpert is a resourceful technology platform that provides the latest technological developments and features exclusive stories with startups and founders. It endeavors to create an impact on the tech community through thought-provoking and futuristic content.

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AI-powered People Analytics Tool that can change Employee ... - TechiExpert.com

Is Dogecoin Dead? Exploring the Cryptocurrency’s Fate and … – Watcher Guru

May 12, 2023 | Author: admin

Dogecoins Fate: Can the Cryptocurrency Still Make a Comeback?

If youre a fan of cryptocurrency, then youve likely heard of Dogecoin (DOGE). Its a meme that started as a joke but has since grown in popularity.

As with any cryptocurrency, there are ups and downs. In this article, well explore if Dogecoin is dead, the future of DOGE, and whether it can still make a comeback.

Well dive into its history, social medias role, Elon Musks influence, and where it might be in five years.

Whether youre a Dogecoin investor or just curious about the cryptocurrency world, read on to find out more.

Before diving into Dogecoins future, lets take a quick look at its history.

DOGE was created in 2013 by software engineers Billy Markus and Jackson Palmer. It was initially created as a joke, a parody of Bitcoin and other cryptocurrencies. The name comes from the popular internet meme about the Shiba Inu dog.

Despite its humble beginnings, Dogecoin quickly gained a following and became a legitimate cryptocurrency. It had a market cap of over $90 billion at its peak.

Dogecoin has had its fair share of ups and downs. Its had its hype moments, such as when Elon Musk began tweeting about it, causing its price to skyrocket.

On the other hand, its had its moments of decline, such as when its co-creator, Jackson Palmer, announced he was leaving the cryptocurrency world and sold all of his Dogecoin.

Currently, Dogecoins market cap sits at around $25 billion, and its ranked the 7th largest cryptocurrency by market cap.

One of the unique things about Dogecoin is the role that social media has played in its success. Dogecoin has a strong online community, particularly on Reddit and Twitter. The community has been instrumental in promoting Dogecoin and getting it in front of more people. Theyve created memes, hosted fundraisers, and even sponsored a NASCAR driver. This community has helped give Dogecoin a sense of community and has made it more than just a cryptocurrency.

Another way that social media has contributed to Dogecoins success is through the influence of influencers. Elon Musk is arguably the most famous example of this. His tweets about Dogecoin have caused its price to soar. However, hes not the only one.

Other celebrities and influencers have also tweeted about Dogecoin, helping to spread the word and increase its popularity. While this can be a double-edged sword, as well discuss later, theres no denying that social media has played a significant role in Dogecoins success.

Its impossible to talk about Dogecoin without mentioning Elon Musk.

The billionaire entrepreneur has been a vocal supporter of Dogecoin, tweeting about it regularly and even referring to himself as the Dogefather. His tweets have caused the price of Dogecoin to skyrocket, with some people even referring to it as the Elon Effect.

Musks influence on DOGE isnt always positive. As weve seen in recent months, his tweets can also cause the price to plummet.

The influence of Elon Musk on DOGE raises an important question: Should a cryptocurrencys success be so closely tied to one persons tweets?

While Musks support has undoubtedly helped to put Dogecoin in the spotlight, its also made it more volatile. Musks tweets heavily influence DOGE price movements, which can be problematic for investors looking to make a long-term investment decision.

Musks tweets have also led to accusations of market manipulation, raising questions about the legitimacy of Dogecoin and other meme coins.

So, what does the future hold for DOGE? Is there a future for it, or is Dogecoin dead?

While its impossible to predict with certainty, a few factors must be considered.

First, theres the issue of supply. Unlike Bitcoin, which has a limited supply of 21 million coins, this one has an unlimited supply. This means that new coins can be created indefinitely, which could impact their long-term value.

Second, another factor to consider is the overall state of the cryptocurrency market. Dogecoin is just one of many cryptocurrencies, and its success is heavily influenced by the overall health of the market. If the cryptocurrency market as a whole experiences a downturn, its likely that Dogecoin will also be impacted.

Third, theres the question of whether Dogecoin can continue differentiating itself from other cryptocurrencies. While its strong online community and unique branding have helped it stand out, its unclear whether this will be enough to sustain its success in the long term.

So, where will Dogecoin be in 5 years?

Again, its impossible to predict with certainty, but there are a few possibilities.

One is that DOGE will continue to grow in popularity and become a mainstream cryptocurrency. This would likely require it to differentiate itself further from other cryptocurrencies and overcome some of the challenges weve discussed.

Another possibility is that this coins popularity will wane and it will become a niche cryptocurrency. This wouldnt necessarily be a bad thing, as theres still value in niche cryptocurrencies. However, it would likely mean that Dogecoins market cap and price would be lower than they are currently.

Ultimately, whether Dogecoin is dead or not will depend on a variety of factors. While its future is uncertain, theres no denying that it has played an important role in the cryptocurrency world and helped bring new people into the crypto space.

In conclusion, the question of whether Dogecoin is dead, or can still make a comeback, is a complicated one. While its had its hype moments, its also faced challenges such as an unlimited supply and heavy reliance on social media and influencers. Clearly, Dogecoin has significantly impacted the cryptocurrency world and helped bring new people into the space.

Whether youre considering investing in Dogecoin or just curious about the cryptocurrency world, its important to research and make informed decisions. Consider the factors weve discussed, such as supply, the overall state of the cryptocurrency market, and the role of social media and influencers.

Ultimately, deciding whether to invest in this cryptocurrency or any other cryptocurrency is personal, and its important to make choices that align with your goals and risk tolerance.

So, is there a future for Dogecoin? Only time will tell. However, one thing is certain: Dogecoin has already made its mark on the cryptocurrency world and will continue to be a fascinating case study in the future.

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Is Dogecoin Dead? Exploring the Cryptocurrency's Fate and ... - Watcher Guru

Top 10 Career Opportunities To Grab After B.Tech In Computer … – Analytics Insight

May 12, 2023 | Author: admin

B.Tech in Computer Science is one of Indias most popular and sought-after engineering courses. It offers a comprehensive curriculum that covers various aspects of computer science, such as programming, data structures, algorithms, operating systems, networks, databases, artificial intelligence, and more; career opportunities after B.Tech is broad both in India and abroad. They can work in various domains, such as software development, web development, database administration, data science, cloud computing, cybersecurity, and research. This article will explore the top 10 career opportunities after B.Tech in Computer Science. Some of the career opportunities after B.Tech in Computer Science are:

Software Developer: A software developer is responsible for designing, developing, testing, and maintaining software applications or systems that meet the needs and requirements of the clients or users. Software developers use various programming languages, tools, frameworks, and methodologies to create software solutions for different platforms and devices.

Web Developer: A web developer is responsible for creating and maintaining websites or web applications that are accessible and user-friendly on the Internet. To create dynamic and interactive web pages and features, web developers use various web technologies, such as HTML, CSS, JavaScript, PHP, Ruby on Rails, WordPress, and more.

Database Administrator: A database administrator manages and oversees the data stored in databases or data warehouses. Database administrators ensure the data is accurate, secure, consistent, and available for authorized users or applications. Database administrators use various database management systems (DBMS), such as MySQL, Oracle, SQL Server, MongoDB, and more, to create, modify, backup, restore, and optimize databases.

Data Scientist: A data scientist analyzes large and complex data sets to extract meaningful insights and patterns to help decision-making or problem-solving. Data scientists use various data science techniques, such as statistics, machine learning, data mining, data visualization, and more, to process and helpfully present data.

Cloud Computing Professional: A cloud computing professional is responsible for designing, developing, deploying, and managing cloud-based applications or services that run on remote servers over the internet. Professionals use various cloud computing platforms or providers (such as AWS, Azure, Google Cloud, etc.) to create scalable, reliable, cost-effective cloud solutions for different purposes.

Cybersecurity Expert: A cybersecurity expert protects data, systems, networks, and devices from unauthorized access, attacks, or threats. Cybersecurity experts use cybersecurity tools, techniques, standards, and best practices to identify, prevent, detect, respond, and recover from cyber incidents or breaches.

Computer Systems Analyst: A computer systems analyst analyzes an organizations existing computer systems or processes and recommends improvements or solutions to enhance efficiency or performance. Computer systems analysts use various analytical skills, technical skills, communication skills, and business knowledge to understand clients or users needs and goals and design suitable computer systems or solutions for them.

Software Engineer: A software engineer is responsible for applying the principles of software engineering to design, develop, test, and maintain high-quality software products or systems that meet the specifications and standards of the clients or users. Software engineers use various software engineering methodologies (agile, waterfall, etc.) to manage the software development life cycle (SDLC).

Computer Network Architect: A computer network architect is responsible for designing, building, configuring, and maintaining computer networks that enable communication and data transfer among devices or locations. Computer network architects use various network devices (routers, switches, firewalls, etc.) and protocols (such as TCP/IP, Ethernet, Wi-Fi, etc.) to create secure, efficient, and reliable networks.

Computer and Information Research Scientist: A computer and information research scientist is responsible for researching various topics related to computer science or information technology and developing new theories, methods, algorithms, or applications that can advance the field. Computer and information research scientists use various research, creativity, programming, and mathematical skills to explore new problems or challenges and create innovative solutions.

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Looking for a job in fintech sector? Here are five in-demand skills in the fintech – Economic Times

May 12, 2023 | Author: admin

Fintech has transformed the financial industry by providing innovative solutions for financial services. Over the years, fintech has evolved, offering users a simple, faster, cheaper, and more convenient way of accessing financial services and promoting digital inclusion. From tapping new segments to exploring foreign markets, fintech is supporting multiple aspirations.The fintech sector is continuously growing all over the world, and the trajectory of growth in India has also been on the rise. By 2030, it is projected that the prospective Indian FinTech market will generate $200 billion in revenue. As the sector evolves, the expertise required in it is also increasing, thus demanding the workforce skilled with the required knowledge to help the industry grow.

Need for the latest skills in the fintech industryThe fintech industry is rapidly growing and evolving, and it requires a range of specialized skills to succeed. The sector involves the use of advanced technology such as blockchain, artificial intelligence, and machine learning. To succeed in fintech, one needs to have a strong technical background and a deep understanding of financial markets, products, and services to meet the needs of customers.

Data Analysis: Data analysis is a crucial component of the fintech industry, and data analysts play an essential role in helping fintech companies make informed decisions. Fintech companies generate vast amounts of data, and professionals who can collect, analyze, and interpret this data are in high demand. Data analysts with strong skills in data mining, machine learning, and visualization tools can help fintech companies make informed decisions and gain a competitive edge. Overall, data analysts are essential in the fintech industry, helping companies to leverage data to make informed decisions, manage risks, and gain a competitive advantage.

Artificial Intelligence & Machine Learning: Artificial intelligence (AI) and machine learning (ML) are transforming the fintech industry, enabling companies to automate tasks, improve decision-making, and enhance the customer experience. AI and ML help detect fraudulent activities quickly and accurately. Their algorithms can analyze patterns and anomalies in customer data, transaction history, and other relevant data sources to identify potential fraud and prevent losses.

Cybersecurity: Cybersecurity is of paramount importance in the fintech industry, as companies deal with sensitive financial information and are vulnerable to cyber-attacks. A skilled cybersecurity expert can assess the risks associated with a fintech company's operations and develop strategies to mitigate those risks. They can identify vulnerabilities in the company's infrastructure, software applications, and data storage systems and implement appropriate security measures. In the event of a cyber attack, a cybersecurity expert can respond quickly and effectively to mitigate the damage. They can identify the source of the attack, contain the damage, and prevent future attacks.

The fintech industry has experienced rapid growth in recent years and is expected to continue to expand in the future. As the industry evolves, there is a growing need for skills that can help fintech companies innovate, improve efficiency, and better serve customers. Technical expertise, financial knowledge, analytical skills, problem-solving skills, and communication skills are all essential to develop innovative fintech solutions that meet the needs of customers and disrupt the traditional financial industry.(The writer is Founder and MD, Escrowpay)

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Looking for a job in fintech sector? Here are five in-demand skills in the fintech - Economic Times

Best Cryptocurrency For Q2 2023 XRP, Avalanche, And Collateral … – The Crypto Basic

May 12, 2023 | Author: admin

In the ever-changing landscape of the cryptocurrency market, savvy investors are always on the lookout for the best tokens that promise the highest returns. XRP, Avalanche (AVAX), and the upcoming Collateral Network (COLT), with a predicted 3500% investment return, are currently making waves in the crypto space.

BUY COLT TOKENS NOW

Ripple and XRP continue to make significant strides in the global financial landscape. Recently, the company behind XRP has been rapidly expanding in Africa.

XRP, the native cryptocurrency of the Ripple network, was designed to facilitate fast and low-cost cross-border transactions. By eliminating intermediaries and providing near-instant settlement times, XRP has become a popular choice for remittance services and financial institutions worldwide.

XRP is already in use in 13 African countries, according to a recent report by the CV VC venture fund. The report demonstrates the growing adoption of Ripples payment solutions in the African market. This is significant, as cross-border transactions and remittances play a vital role in local economies.

As Ripple expands its presence in Africa, XRP stands to benefit from the increased usage and demand for the token.

Popular Layer 1 Avalanche (AVAX) has recently taken a significant step forward by integrating Chainlink Functions. This will enable the network to access Chainlinks powerful Oracle functions to access off-chain data.

Avalanche is a high-performance blockchain platform that aims to provide a secure, decentralized, and scalable solution for dApps. With its unique consensus mechanism, Avalanche boasts lightning-fast transaction speeds and impressive throughput. This makes Avalanche an attractive alternative to other blockchain networks.

With Chainlink Functions now available on Avalanche, developers take advantage of the increased functionality. Avalanches integration with Chainlink allows developers to access Chainlinks extensive data feeds. This will enable the creation of more innovative dApps that drive user adoption and boost Avalanches token.

BUY COLT TOKENS NOW

Collateral Network is a new project that aims to disrupt the $4.5 trillion lending industry. Collateral Network is the worlds first decentralized peer-to-peer lending network that allows borrowers to use physical assets as collateral to unlock liquidity. From its initial price of $0.01, it has increased 40%, up to $0.014, during the first stage of its presale, with investors acquiring a token predicted to soar by 3500% before being listed in major exchanges.

The platforms main revolutionary feature is allowing users to borrow cryptocurrencies against their physical assets.

Heres how it works: a borrower sends the physical asset to the platform, which secures it in its vault for the duration of the loan and tokenizes the physical asset, which is appraised and verified. This asset is then minted into a fractionalized non-fungible token (NFT), enabling multiple lenders to buy a fraction or fractions to contribute to the loan.

For borrowers, Collateral Network opens up a new avenue to secure loans, offering a way to utilize their physical assets without selling them. The process is quick, with less red tape than traditional lending institutions, and the rates are potentially more favorable.

On the flip side, lenders on the Collateral Network platform find an attractive opportunity to diversify their investment portfolios, as they get a weekly passive income. They are not merely lending against volatile cryptocurrencies but against real-world, appraised assets. This approach significantly mitigates risk and provides an additional layer of security to lenders. Moreover, with the platforms transparency, lenders have full visibility into their investments at all times.

But the COLT token has also use cases. For example, COLT token holders will benefit from discounts on transaction/borrowing fees, access to auctions of distressed items, staking passive income, and governance rights on the platform.

Collateral Network has a solid base to disrupt the lending industry, estimated to reach $6.5 trillion in the next five years. With its presale live, investors are swarming to get their hands on this promising token, currently available at $0.014, with analysts predicting a staggering 3500% returns before being listed in major exchanges and a 100x surge after. As the platform gains traction, COLT will deliver impressive returns for early investors.

For more information on Collateral Network visit the website, join the presale or join the community for regular updates.

Find out more about the Collateral Network presale here:

Website

Presale

Twitter

Disclaimer: This content is informational and should not be considered financial advice. The views expressed in this article may include the author's personal opinions and do not reflect The Crypto Basics opinion. Readers are encouraged to do thorough research before making any investment decisions. The Crypto Basic is not responsible for any financial losses.

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Deep Learning Market Poised to Exceed US$ 130667 Million by … – Market Research Blog

May 12, 2023 | Author: admin

The Deep learning neural networks are being used by businesses to mine massive volumes of data for insightful information that can be used to develop new products, enhance consumer experiences, and expand revenue potential for the deep learning market. One of the most cutting-edge technologies in business computing is deep learning, which is growing on a global scale.

During the projected period, the worldwide deep-learning market would expand due to the increasing demand for improved human and system interaction. Deep learning algorithms will help humans become more capable as they provide expert advice. Additionally, deep learning technology is increasingly being used in a variety of industrial sectors, including healthcare, finance, retail, and others. Strong R&D for the development of new products is another element propelling this market.

Request a Sample of this Report @https://www.futuremarketinsights.com/reports/sample/rep-gb-5013

The rise of data mining applications in the deep learning market is being driven by the rising need for deep learning in fraud detection, database systems, and cyber security. The patient information, diagnosis, and other data sets produced by the healthcare industries are massive. Data mining is therefore expected to experience the fastest growth rate in the healthcare industry shortly.

Deep Learning Market: Market Dynamics

The rising necessity for hardware platforms with high computing power to execute deep learning algorithms is a driving factor of the Deep Learning market Increasing complexity in hardware due to the complex algorithm in deep learning technology can hamper the growth of the Deep Learning market. Growing usage of deep learning in data analytics and database systems growth opportunities for the Deep Learning Market.

Global Deep Learning Market: Competition Landscape

Few prominent players in Deep Learning market include Google Inc., Microsoft Corporation, Qualcomm Technologies, Inc., IBM Corporation, Intel Corporation, General Vision Inc. and NVIDIA Corporation, etc.

Deep Learning Market: Regional Outlook

North America is prominent and holds the largest share of the deep learning market and is estimated to be in the leading position owing to the widespread adoption of deep learning technology. There is high growth in the deep learning market in North America due to the presence of prominent players in the region that offers deep learning services and hardware such as IBM Corporation, Qualcomm Technologies, Inc. and Intel Corporation, etc. Latin America and MEA are expected to contribute significantly over the forecast period.

The report covers an exhaustive analysis on

Regional analysis of the Global Deep Learning Market includes

North America Deep Learning Market

Latin America Deep Learning Market

Eastern Europe Deep Learning Market

Western Europe Deep Learning Market

Asia Pacific Deep Learning Market

Japan Deep Learning Market

Middle East and Africa Deep Learning Market

Report Customization available @https://www.futuremarketinsights.com/customization-available/rep-gb-5013

About Future Market Insights, Inc.

Future Market Insights, Inc. (ESOMAR certified, Stevie Award recipient market research organization, and a member of Greater New York Chamber of Commerce) provides in-depth insights into governing factors elevating the demand in the market. It discloses opportunities that will favor the market growth in various segments based on Source, Application, Sales Channel, and End Use over the next 10 years.

Future Market Insights Inc.Christiana Corporate, 200 Continental Drive,Suite 401, Newark, Delaware 19713, USAT: +1-845-579-5705For Sales Enquiries:sales@futuremarketinsights.com

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The impact of AI on the cryptocurrency landscape Cryptopolitan – Cryptopolitan

May 12, 2023 | Author: admin

Cryptocurrencies are an exciting phenomenon, drawing the attention of many investors who see them as an incredibly lucrative investment tool. But despite their massive popularity, digital assets pose different issues, such as technological difficulties. Fortunately, the rise of AI can transform the crypto landscape, resulting in data-driven decision-making and increased speed and efficiency. Succeeding with crypto investing takes more than just learning how to buy bitcoin; it requires patience and several skills. Investors are now embracing AI to make sense of the market and remove emotions from their investments, helping them make unbiased decisions.

Many people seek to implement machine learning as a way to fund their businesses. Pattern recognition is among the best characteristics of AI, having applications in e-commerce, biometric devices, computer vision, face recognition and so on. For instance, pattern recognition can even help differentiate between an apple and a pear based on their specific features. In the crypto sector, this means identifying patterns in the chart, thus forecasting future price movements.

In the past few years, the cryptocurrency industry has evolved significantly, attracting investors from all around the world. Several crypto exchanges now enable users to make decisions via algorithmic trading, which can be a great deal for those lacking time to stay up-to-date with the market or who dont have experience with trading. Traders monitor the values of digital assets constantly, as AI-powered crypto markets are always open. This generates significant data AI can further analyze to predict future prices with precision and speed, eliminating the risk of human error.

Incorporating AI into crypto trading comes with several benefits, such as:

AI can filter through significant amounts of blockchain data, such as articles, forums, historical market information even social media comments. This benefits investors who can use data analytics to forecast price-altering events in the industry, ultimately making better decisions.

Crypto traders rely on different indications. However, the unstructured digital data makes it infeasible to produce reliable signals manually. The data must be relevant and clean to be analyzed for investing insights. Engineers and data scientists can utilize AI to develop trading strategies that will generate accurate data on a platform. For instance, NLP techniques are efficient in classifying and extracting data by considering aspects like document kind, currency name, and so on.

Sentiment analysis means using NLP and AI to examine individuals opinions and feelings about a specific topic. Regarding crypto investing, a positive attitude toward a particular asset can anticipate a price increase, while a negative sentiment can indicate that the price decreases. To determine the market sentiment, it is necessary to collect, process and analyze significant amounts of data from blogs, news, stock message boards, social media posts, etc. Machine learning and AI can recognize market manipulations by monitoring signals and identifying unexpected trends in market sentiment. As a result, investors can use the discovered insights to their advantage.

AI is a powerful technology that can simulate human intelligence. This means that investors can rely on crypto bots for automated trading activities, freeing them from time-consuming activities like monitoring crypto markets. Automated trading eliminates fear and the risks involved in this activity, which significantly benefits those within the crypto space.

Volatility is a significant issue in crypto trading, and manual research and analysis processes arent helpful in identifying investments and buying and selling signals. However, AI can solve this by collecting vast amounts of data and making correct investment forecasts. AI and blockchain are a powerful combination: the blockchain stores the data safely, and AI can then use this data to generate accurate insights.

As great as the advantages of implementing AI in the crypto market are, its essential also to be aware of the downsides. These include:

AI trading strategies can be pretty difficult to grasp due to their complexity. Consequently, it can be challenging to determine issues and possible risks or trust AIs decisions. Traders should understand AI platform intricacies to be able to use it efficiently. At the same time, AI developers should create user-friendly interfaces and provide extensive educational resources to make things easier for users.

Relying too much on AI may result in traders neglecting their responsibilities, which may lead to unchecked risks and unmonitored trades. This risk can be reduced if traders stay actively involved in their strategies and keep updated on market conditions. Hybrid approaches are always the best, combining human expertise with AI-driven insights, thus striking a balance between oversight and automation.

While innovative, AI is far from being perfect, which means there can be programming errors. This could inevitably lead to unforeseen losses, emphasizing the importance of human participation in the trading process. For example, the Flash Crash from 2010 happened partly because of algorithmic trading, showing that not even a sophisticated AI system can prevent market instability in specific conditions. Such risks can be mitigated if developers implement strict testing and validation of AI models and traders have a risk management strategy in place, intervening when necessary.

Technology is evolving at a fast pace now and can accomplish more than it was once possible. Experts suggest that AIs potential and efficiency will improve in the future, meaning that it can also have a massive impact on the crypto industry. AI can monitor price fluctuations to ensure that the automated trading bot wont miss the next profit opportunity if theres a positive movement in the market.

AI offers plenty of advantages, including crypto monetization insights and automated trading strategies. However, there are also cons, such as the complexity of the technology, which makes it difficult to rely entirely on the decision-making abilities of AI. The key is to make the most of AIs advantages while maintaining human oversight. This can help manage risks and ensure a successful trading journey.

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Memes Are Wreaking Havoc on Cryptocurrency Apparently – Yahoo Life

May 12, 2023 | Author: admin

Cryptocurrency has had some tough times recently, from FTX founder Sam Bankman-Frieds criminal charges to the crash that has caused digital currency holders to rush toward investments that are more stable.Now theyre facing a new challenge: memes.

Binance, one of the biggest crypto exchanges in the world, recently suspended withdrawals after it experienced a congestion issue. New York Magazines Kevin T. Dugan explains that the network that processes bitcoin transactions at one point had 400,000 stuck in a queue. Consequently, fees have increased to conduct transactionsnow up to $20, when last month it might have cost 87 cents. However, many of those people are simply trying to send memes.

Yachtify (YCHT) Set To Rival Binance Coin (BNB) For Top 5 Cryptocurrency Spot – Coinpedia Fintech News

May 12, 2023 | Author: admin

Smart investors understand that capital preservation is the key to staying afloat in the market. This instinct prompts investors to constantly watch out for the next big project in the space, capable of optimally maximizing their investment. This is why financial analysts have predicted that Yachtify is a project that has the potential to rival coins like Binance Coin (BNB) for the top 5 dominating protocols in the space. Yacthify is a project for smart investors.

Yachtify promises to be one of the safest investments in the volatile market, as the projects innovation makes it the investors choice at the moment. Yachtify is a project that aims to bring investment in the exclusive yacht sector to investors. Investors are given this leverage by Yachtify through a fractionalized NFT. This project aims to be the bridge between lovers of yachts and investors, or those who want to make profit from the maritime sector.

Investors can use the Yahctify native token $YCHT to buy a piece of the NFT, which will stand in for a real yacht, for as little as $100. When these yachts are rented out, investors might profit based on their portion.

Investors can now participate in the Yachtify initiative at the first stage of the presale for just $0.10, with a 40% bonus and a potential ROI of 4,000% in the following year.

Due to SolidProofs audit of the projects smart contract, investors money is protected. Liquidity is locked for all time, and the team token is locked for three years.

Check out the link for more details on its presale:

Join the presale: https://buy.yachtify.market

Website: https://yachtify.market

Telegram: https://t.me/yachtify

Twitter: https://twitter.com/yachtify_market

The most recent research on the Binance Coin (BNB) price reveals a gloomy market mood as the unfavourable movement gains momentum. Binance Coin (BNB) is currently trading at $315, down 5.58% in the last 24 hours. As more investors join the crypto marketplace, the current Binance Coin (BNB) downtrend is being aided by significant pressure to sell and low purchasing activity.

Binance Coins (BNB) negative trend is significant, and if it persists, the next phase of resistance for Binance Coin (BNB) might be found below $315. The market can move above $328, which can be regarded as a substantial resistance level if the bulls dominate the market. If this happens, then existing levels of the barrier for Binance Coin (BNB) will be broken above $328.

The question now that has investors worried is if there is any form of innovation the Binance Coin (BNB) ecosystem has in plan for its protocol to get more activity and traction on its website. Although the price action of Binance Coin (BNB) is on a downward trend, investors have a way out by investing in the Yacthtify project. This project promises to create a high-profit margin for investors in the crypto space.

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Yachtify (YCHT) Set To Rival Binance Coin (BNB) For Top 5 Cryptocurrency Spot - Coinpedia Fintech News

Natural Language Processing Market to be $262.4 Billion by 2030 … – GlobeNewswire

May 12, 2023 | Author: admin

Redding, California, May 10, 2023 (GLOBE NEWSWIRE) -- According to a new market research report titled, Natural Language Processing Market by Component, Organization Size, Application, Sector (IT & Telecommunications, BFSI, Retail & E-commerce, and Healthcare & Life Sciences) - Global Forecast to 2030, the global natural language processing market is projected to reach $262.4 billion by 2030, at a CAGR of 34.4% from 2023 to 2030.

Natural language processing (NLP) is a form of artificial intelligence (AI) that allows computers to understand human language. NLP offers several benefits for companies across industries, such as enabling non-subject matter experts to find answers to their questions, analyzing data from both structured and unstructured sources, identifying the root causes of business problems, and discovering the most profitable customers and understanding the reasons behind it. Furthermore, it identifies and addresses fraudulent claims and behavior, identifies customer communication patterns and reduces customer complaints, and analyzes and evaluates your competitors product offerings.

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The growth of the natural language processing market is driven by the increased use of smart devices and the growing demand for NLP-based applications for customer support and NLP tools in call centers. Moreover, the rapid adoption of cloud-based technologies and increasing applications of NLP in the healthcare sector provide significant opportunities for the players operating in the global natural language processing market. However, the limitations in developing NLP technology restrain the growth of this market to some extent. Additionally, data privacy & security concerns pose challenges to the growth of the natural language processing market. Besides, virtual assistants & chatbots and the growing demand for speech analytics solutions are the key trends observed in the natural language processing market.

The global natural language processing market is segmented by component {solutions [optical character recognition solutions, interactive voice response systems, autocoding systems, document analytics solutions, speech analytics solutions, simulation & modeling solutions, customer experience management solutions, digital assistants and chatbots, and other NLP solutions (root cause analysis solutions, spam detection solutions, and data mining solutions)], services (professional services, managed services), organization size (small & medium-sized enterprises, large enterprises), application [robotics & automation, smart cities, smart retail, smart healthcare, e-mail filtering, language translation, sentiment analytics, social media analytics, other NLP applications (market intelligence & targeted advertising, and data extraction], sector [IT & telecommunications, BFSI, retail & e-commerce, healthcare & life sciences, transportation & logistics, government & public sector, media & entertainment, manufacturing, education, food & beverages, and other sectors (oil & gas, and automotive)]}. The study also evaluates industry competitors and analyzes the market at regional and country levels.

Based on component, the global natural language processing market is segmented into solutions and services. In 2023, the solutions segment is expected to account for the largest share of the global natural language processing market. The large market share of this segment is attributed to the surge in demand for interactive voice response systems to interact with callers and gather information; rising demand for document analytics solutions for managing a document repository; surge in demand for speech analytics to improve contact center operations; the growing popularity of customer experience management solutions to streamline the customer journey, allowing customers to design, connect, deliver, and manage experiences across diverse channels; and increasing proliferation of digital assistants and chatbots to create conversational experiences for business applications. This segment is also projected to register the highest CAGR during the forecast period.

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Based on organization size, the global natural language processing market is segmented into large enterprises and small and medium-sized enterprises (SMEs). In 2023, the large enterprises segment is expected to account for the larger share of the global natural language processing market. The large market share of this segment is attributed to the growing adoption of NLP solutions by large enterprises to analyze, interpret, and classify a company's raw, unstructured big data collected from different sources like customer reviews, social media listening, and employee forums, and increasing demand for social media analytics and web monitoring solutions in retail & e-commerce sector which allows knowing the customers' insights concerning particular products or services.

However, the small & medium-sized enterprises segment is expected to register the highest CAGR during the forecast period. The growth of this segment is driven by the increasing demand for improved operational efficiency in small customer service environments, the surge in demand for automating interactions to reduce the burden on human call center operators, and the growing proliferation of call recording and speech analytics technology in small organizations.

Based on sector, the global natural language processing market is segmented into IT & telecommunications, BFSI, retail & e-commerce, healthcare & life sciences, transportation & logistics, government & public sector, media & entertainment, manufacturing, education, food & beverages, and other sectors. In 2023, the IT & telecommunications segment is expected to account for the largest share of the global natural language processing market. The large market share of this segment is attributed to the increasing use of NLP tools by telecom companies to solve typical customer problems in an efficient manner and wherever possible without human intervention, the increasing proliferation of digital assistants and chatbots by IT industries, and the need for NLP solutions by telecom companies for categorizing support requests.

However, the healthcare & life sciences segment is projected to register the highest CAGR during the forecast period. The growth of this segment is driven by the increasing need to handle the surge in clinical data, the use of NLP services to identify patients who need improved care, and the growing demand for advanced patient health record systems, managed care, PHM applications, and analytics and reporting.

Based on geography, the global natural language processing market is segmented into North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. In 2023, North America is expected to account for the largest share of the global natural language processing market. The large share of this market is attributed to the increasing focus on NLP services & solutions developments in North America, the presence of well-established NLP providers such as Microsoft Corporation (U.S.), Oracle Corporation (U.S.), International Business Machine Corporation (U.S.), NVIDIA Corporation (U.S.), Qualcomm Incorporated (U.S.) across the region, the presence of natural language processing startups in the U.S. and Canada, and the use of patient health record systems.

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Furthermore, leading NLP players across the region are putting in efforts to launch AI applications that support NLP capabilities. For instance, in October 2022, International Business Machine Corporation (U.S.) expanded its embeddable AI software portfolio by releasing three new libraries designed to help IBM Ecosystem partners, clients and developers more easily, quickly and cost-effectively build their AI-powered solutions and bring them to market. The AI libraries were developed in IBM Research and designed to provide Independent Software Vendors (ISVs) across industries an easily scalable way to build natural language processing, speech-to-text, and text-to-speech capabilities into applications across any hybrid, multi-cloud environment. Such developments are expected to support the growth of this market.

However, Asia-Pacific is projected to register the highest CAGR during the forecast period. The growth of this market is driven by the increasing smartphone usage across the region, government initiatives for implementing NLP solutions & services in countries such as China, Japan, and India, an increase in the use of smart devices and cloud-based solutions and NLP-based applications to enhance customer service, and technological innovations in the regions healthcare sector.

The key players operating in the global natural language processing market are Google LLC (U.S.), Microsoft Corporation (U.S.), Amazon Web Services, Inc. (a subsidiary of Amazon.com, Inc.) (U.S.), Oracle Corporation (U.S.), International Business Machine Corporation (U.S.), NVIDIA Corporation (U.S.), QUALCOMM Incorporated (U.S.), Baidu, Inc. (China), Verint Systems Inc. (U.S.), SAP SE (Germany), INTEL CORPORATION (U.S.), Adobe Inc. (U.S.), Genpact Limited (U.S.), SAS Institute Inc. (U.S.), and NetBase Solutions, Inc. (U.S.)

To gain more insights into the market with a detailed table of content and figures, click here: https://www.meticulousresearch.com/product/natural-language-processing-market-5505

Scope of the Report

Natural Language Processing Market, by Component

Natural Language Processing Market, by Organization Size

Natural Language Processing Market, by Application

Natural Language Processing Market, by Sector

Natural Language Processing Market, by Geography

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The name of our company defines our services, strengths, and values. Since the inception, we have only thrived to research, analyze, and present the critical market data with great attention to details. With the meticulous primary and secondary research techniques, we have built strong capabilities in data collection, interpretation, and analysis of data including qualitative and quantitative research with the finest team of analysts. We design our meticulously analyzed intelligent and value-driven syndicate market research reports, custom studies, quick turnaround research, and consulting solutions to address business challenges of sustainable growth.

Contact:Mr.Khushal BombeMeticulous Market Research Inc.1267WillisSt,Ste200 Redding,California,96001, U.S.USA: +1-646-781-8004Europe : +44-203-868-8738APAC: +91 744-7780008Email-sales@meticulousresearch.comVisit Our Website:https://www.meticulousresearch.com/Connect with us on LinkedIn-https://www.linkedin.com/company/meticulous-researchContent Source: https://www.meticulousresearch.com/pressrelease/737/natural-language-processing-market-2030

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