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Assembly point is an important aspect during an emergency evacuation. Normally the assembly point is a board with the popular icon of an assembly point . In case of an emergency , people are supposed to remember where the assembly point is and reach to the assembly point. After reaching the assembly point a head count is taken manually by the fire marshals . Gathering & compiling this information at an organizational level and finding out the missing persons list is a mammoth & time consuming operation.
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Smart Assembly Point helps to take the entire emergency evacuation process to the next level by implementing Smart Assembly points.
A smart assembly point is a device which is connected to a server and intelligently knows when an emergency evacuation is called. It has a beeper and flashing lights so when an emergency evacuation is called, it becomes easy for employees to locate the assembly point. When employees reaches the smart assembly point terminal , they scan their Emergency Response Card and the headcount is available in a real time mode. There are many other intelligent operations a smart assembly point can do , eg. finding out missing people at assembly point, sending SMS alert on their phone about the emergency evacuation etc.
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Hello, all. Hundreds of these have popped up in our neighbour’s garden bed, which is lovely except that they have a newish puppy who seems veeeery interested in them. Should they be taking steps to keep pupper away from them? Located in the southern suburbs of Perth, Western Australia.

as you can see Tur Dulra is not done yet i have all Waypoints.
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I did the last fortress at Hopes Light, checked map still had 2/3 Fortress Progress..relogin now Tur Dulra is Reset. I also had to do Twice Moordaine...and yes i did activate the bell after clearing the Boss.

Before the Entity Builders Forum shakes up the Web3 ecosystem this Saturday, let’s take a moment to recap the second half of Entity’s Project Dialogues series. Discover some of the most interesting insights from Web3 builders in DeFi, GameFi and beyond!
Entity Project Dialogues: Second Half Summary

Finishing up strong

The Project Dialogues Twitter Spaces are all about giving the community exclusive info about building on MultiversX and the future of the blockchain world.
On March 30, we recapped the first 9 dialogues from this exciting live interview series. Over the past few months, 9 more innovative projects have joined Entity to discuss their takeaways from founding startups in DeFi, GameFi, Web3 payments, decentralized real estate, and more.
The Builders Forum on June 10 will celebrate all of these blockchain pioneers- plus some top builders from outside MultiversX.
In the meantime, read on for a comprehensive overview of the most recent dialogues with some of the best quotes, insights, and alpha!

A GameFi beast awakens

Vampire Wars is on a mission to push Web3 mass adoption by building a decentralized world of bloodthirsty vampires.
A GameFi beast awakens
Entity was joined by Catalin Rimaru, founder and CEO of Dark Skies Studios and Vampire Wars, for a thrilling journey into the future of this project and the overall blockchain world. Powered by MultiversX and Mapbox location technology, this game turns the entire planet into an action-packed vampiric hunting ground.

“We chose entertainment, and I think that having access to high-dopamine experiences will be part of the metaverse and keeping people there.” — Catalin Rimaru • Vampire Wars

The conversation touched on Catalin’s inspirations for the game, how the project will keep expanding in the long term, and how his team plans to limit bots and cheating during their mainnet release. Putting the ‘Fi’ in GameFi, Entity and Vampire Wars also dived into the game’s in-game economy and the tokenomics of the $DARX currency.

Leveling up Web3 payments

For CoinDrip CEO Razvan Statescu, it’s always time to build.
Leveling up Web3 payments
On April 12, Razvan joined Entity for a deep dive into the CoinDrip automated Web3 payments platform. Powered by Giants Labs, one of the primary use case for this protocol is token vesting. CoinDrip is a game-changer in this category, since it can slowly allocate private sale or team tokens over time instead of creating extra volatility with a few big unlocks.

“Especially for Web3 companies and DAOs, transparency is usually very important. The community wants way more insights into what’s going on.” — Razvan Statescu • CoinDrip

However, this is only the beginning for CoinDrip’s potential applications. Razvan opened up to Entity about some of the project’s future plans, such as working with ZoidPay to bridge the gap between crypto and fiat. As a serial entrepreneur, Razvan also explained the inspiration behind some of his other projects in the ecosystem such as Giants Village and xDevHub.

Building a new world of decentralized gaming

History, fantasy and mind-blowing graphics collide with Age of Zalmoxis!
Building a new world of decentralized gaming
Powered by Wenmoon Studios, Age of Zalmoxis is an immersive MMORPG under development on MultiversX with hyper-realistic Unreal Engine technology. Project co-founder Marius Urbaniak stopped by the Entity Project Dialogues to share his take on Web3 gaming and what it’s like to be a blockchain founder.

“The historical accuracy that we achieve with the Institute of Archeology gives a lot of weight to the project.” — Marius Urbaniak • Age of Zalmoxis

In addition to discussing the business and tokenomics roadmap for Age of Zalmoxis, Marius also explained how the game works with expert archaeologists to bring the real history of Romania to life. He also discussed the importance of community for building a successful Web3 project and laid out how Zalmoxis will use features like guilds to connect gamers and investors.

Streamlining DeFi for mass adoption

DeFi Summer means more powerful tools for MultiversX investors, but how can everyday users make the most out of these advanced features?
Streamlining DeFi for mass adoption
With next-level vaults that make DeFi accessible to everyone, Autoscale is here to help. On April 26 Quentin Diebold of Autoscale joined Entity to discuss recent milestones for this protocol and where it is heading next.

“We are putting our efforts into the user experience. It’s really our main goal to make everyone, even old guys with no knowledge in DeFi, use our products with low difficulty.” — Quentin Diebold • Autoscale

Currently live on MultiversX devnet, Autoscale’s yield optimizer tools allow investors to earn yields without having to constantly maintain their position or compound their earnings. Quentin also talked about his optimism for the future of the MultiversX DeFi ecosystem, and how Autoscale can integrate and support other protocols like AshSwap, Hatom, OneDex, and more.

The future of gaming is now

With stunning open-world graphics and a strong community, Cyberpunk City is definitely a top GameFi project to watch.
The future of gaming is now
In Project Dialogue #14, Cyberpunk City’s Jack Melar joined Entity for a voyage into the future of Web3. Jack laid out the competitive advantages for Cyberpunk and how this project blends the best of gaming, blockchain and the metaverse into one highly engaging experience.

“We are building on Unreal Engine, so it’s like a proper game and a proper metaverse at the same time.” — Jack Melar • Cyberpunk City

Jack talked about how Cyberpunk City has cultivated a strong community so far, with a range of ecosystem partnerships and two NFT collections currently in the top five in weekly $EGLD volume (CityNFT and CitizenNFT). This interview also highlighted the intersection between AI and gaming, and how Cyberpunk aims to use artificial intelligence to create dynamic new game mechanics.

Reinventing the world of payments

Are you ready for xMoney?
Reinventing the world of payments
The Web3 payment heavyweights at xMoney (formerly Utrust) stopped by the Entity Project Dialogues for a glimpse into their mission to supercharge the decentralized financial ecosystem. In this inspiring discussion, CPO Martinho Aragão explained the future trajectory of Utrust as they prepared to transform into xMoney along with the fiat payment experts at Twispay.

“I could see us having cards connected to different networks, and when you go to the ATM you can choose which network to use.” — Martinho Aragão • xMoney

The conversation covered pain points such as dealing with volatility as well as future opportunities such as developing decentralized credit card systems. Adoption is a core focus for Martinho and his colleagues, and he confirmed this is an area where the project is pushing very hard. With the widespread release of xMoney cards expected in the near future, the future of money may be closer than you think.

Kickstarting Web3 real estate

Real estate is a multi-trillion dollar market, and the team at Blok seeks to supercharge this industry into the Web3 era.
Kickstarting Web3 real estate
The builders at Blok are hard at work creating next-level tokenized real estate assets- right here on MultiversX. Entity had a lively conversation with this promising French Web3 project, discussing Blok’s plans to catalyze blockchain adoption through decentralizing the real estate world.

“Adding US dollars (to stablecoins) is nice, but in the future maybe you will want to trade something that is not backed by a fiat currency but directly by something physical.” — Philippe Martin • BLOK

Philippe Martin, CTO of Blok, discussed the value proposition of the project as a more direct and democratic way to invest in property. He also explained that the project has careful plans to overcome various hurdles in regards to compliance, liquidity, and decentralized decision making. With a minimum investment stake of just €50, Blok could make real estate more accessible than ever before.

More power for DeFi Summer

It’s always a build market for the team at JewelSwap.
More power for DeFi Summer
Co-founder Viktor Vostrikov joined Entity to explain how this innovative DeFi project has already shipped a range of useful features that help the MultiversX community get the most out of their tokens and NFTs. Powered by Combased and Epunks, JewelSwap combines the best of both the DeFi and NFT worlds with lending, leveraged pools and more.

“JewelSwap actually helps every NFT collection, since you can tell your community ‘look, there’s another utility’.” — Viktor Vostrikov • JewelSwap

By depositing your NFTs as collateral, JewelSwap users can immediately access liquidity to use in other investment strategies. But JewelSwap is far from being a one-trick pony, as they also offer mortgaged NFT purchases, high-powered farms for AshSwap and OneDex, supercharged token staking, and more. This insightful dialogue covered key topics such as security and analytics- plus a special preview of future synergies and tools.

The crypto liquidity revolution has arrived

Last but not least, ZoidPay stopped by for a high-energy discussion of the Web3 payments landscape!
The crypto liquidity revolution has arrived
While Eduard Oneci was not able to join as planned, Business Development Executive Denis Onica stepped in and did an admirable job explaining the project’s recent milestones and future roadmap for this hardcore project. The discussion covered the upcoming ZoidPay Super App, the shopping revolution of the ZoidVerse, and the cross-chain firepower of their ZoidCore suite.

“Rather than building separate bridges for each blockchain, we actually want to integrate all of those bridges in a single interface.” — Denis Onica • ZoidPay

Denis explained that while the road to a seamless Web3 payment world is not easy, the potential benefits and growth opportunities are extremely vast. With a range of exciting products in development, stay tuned as ZoidPay could be a major catalyst for MultiversX mass adoption.

Time to connect and innovate

Want to learn more about these relentless Web3 builders? Good news- they will all be featured at the upcoming Entity Builders Forum on June 10!
Time to connect and innovate
This exciting online blockchain conference will feature panel discussions on Web3 Innovation, DeFi and GameFi featuring many of the founders from the Project Dialogues Series.
There will also be special presentations from MultiversX leaders like Beniamin Mincu, exciting announcements from Entity, and next-level giveaways such as the Builders Forum Lottery!

Let’s turn up the hype

Plus, all 18 startups from the Entity Project Dialogues series have the chance to win an exclusive prize package for supporting the event. In the Battle of Hype, users must complete an Empower campaign where they complete a few social media tasks and select their favorite ecosystem project.
At the end of the event, the project with the most completed campaigns will receive the following rewards:

• A dedicated Twitter Space showcasing the best aspects of their project
• A prominent feature on the Entity.global homepage for one month
• A recap Twitter thread about their special Twitter Space
• A deep dive blog article about their project

Plus, everyone who completes the campaign will be eligible to enter a $10 EGLD prize pool- regardless of which team they supported!
To join the Battle, simply sign up for the Builders Forum and await further instructions during the event on June 10. And for all the details about the Battle of Hype, Lottery and Builders Forum, head over to the official Builders Forum GitBook.

Don’t miss a thing

In the meantime, feel free to tune in again and catch all the details from these 18 dedicated Web3 startups:

1. Hatom Protocol
2. CryptoPittz
3. AshSwap
4. Gnogen
5. Knights of Cathena
6. Aquaverse
7. Itheum
8. DX25
9. Proteo DeFi
10. Vampire Wars
11. CoinDrip
12. Age of Zalmoxis
13. Autoscale
14. Cyberpunk City
15. xMoney (formerly Utrust)
16. BLOK
17. JewelSwap
18. ZoidPay

And as always, make sure to join Entity on Twitter and Telegram for all the latest project updates!

Enhancing the MultiversX Ecosystem

Entity x MultiversX
Entity is a Launchpad and suite of cutting-edge tools for Web3 builders and investors. Entity is focused on catalyzing growth in key areas such as DeFi, GameFi, NFTs and real-world blockchain applications.
MultiversX is a highly scalable, secure and decentralized blockchain network created to enable radically new applications, for users, businesses, society, and the new metaverse frontier.
Source: Entity Finance / Medium / Entity Project Dialogues: Second Half Summary

I was taking a leisurely stroll through the swamp and then I heard an abomination near by.
At the same time I remember not too long ago I spotted a 1 star troll in the forest.
I thought what the heck. I want see who is going to win this gladiator match.
I lured the troll into the swamp and then I let the monsters agro each other.
It was quite entertaining for a bit. The troll ended up wining that match with a small sliver of health left after which I went and finished it off with a couple of spear strikes.
Does anyone else do this ?
Find some tough monsters to pit them against each other.
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Machine learning and artificial intelligence are advancing at a high-pace and taking on across a range of industries like a wildfire. To train the machine like a fine-tuned instrument, it is now more important than ever to collect vast volumes of data that is also quality-driven. Better data quality is more important to achieving the intended outcome than simply having a lot of data.
The output provided by analytical applications is authenticated by data quality, which is the subject of data management. Businesses can understand their position in the market due to analytical applications. Although there has been a significant increase in analytical capabilities in the IT sector, the quality of the data is still lacking, which could be detrimental to a corporation that relies on a machine-learning program.

How AI and ML Play an important role in data quality management

To analyze and create data models, business users, and data scientists need enormous volumes of on-demand, high-quality data. Instead of enhancing its quality and getting it ready for examination, they would rather spend their time analyzing data. To decrease manual interventions, businesses must concentrate on automating repetitive jobs and data quality procedures. Enterprises must determine the areas of data quality management where AI/ML models can contribute to increasing the level of automation. Several situations include:

• Before executing data quality operations on target data components, AI/ML can be used to classify essential data pieces and assist in identifying significant data elements in unstructured data feeds, such as social media formats. Such a classification can aid in the hierarchy management and product categorization processes, enhancing the quality of the product data.
• AI/ML can offer rules for data profiling, data cleansing, data standardization, and data enrichment based on the diagnosis of the data. It can also deliver proactive notifications for important data pieces. Business users can verify and incorporate these standards for processing data quality. By doing so, manual rule configuration is easier to do and the current rule set is improved. Additionally, AI/ML can efficiently suggest the most appropriate business data components and pertinent standards for redundant data.
• AI/ML models can learn the normal manual override chores carried out by the data manager, like data repair and merge and split operations, based on prior instances, and carry out pertinent modifications from later iterations.
• Data quality management software can improve its multilingual data processing capabilities by utilizing AI/ML. For instance, AI/ML models can be developed and used to translate text into one of the supported languages to handle a social media comment in a language that the program does not recognize.

Impact of Machine Learning(ML) on data quality management

Incorporating machine learning solutions into their data strategy is something that many businesses are starting to do nowadays. The top data initiatives whose revenue increases for the year, according to 63% of respondents in a recent survey, were AI and ML. This should not be surprising given the sheer volume of unknowns that data quality management must manage and the difficulties big data brings with it. The below points will show you how ML works with data:

• Completing data gaps

While many automation systems can clean data based on explicit programming requirements, it is nearly impossible for them to fill in empty data gaps without user intervention or by bringing in additional data source streams. Based on its analysis of the circumstance, machine learning may nevertheless make educated judgments about missing data.

• Determine relevance

On the other end of the spectrum from missing data, businesses frequently gather a lot of duplicated data over time that is useless in a business setting. For instance, machine learning is being utilized in the finance sector to expedite the typically drawn-out mortgage application process.

• Find and eliminate duplicates

For data managers, duplicate data has always been a threat that eats away at their productivity. To develop focused marketing campaigns, marketing teams must be able to tell when many records refer to the same customer. But according to a poll, approx 81% of marketers said it is extremely difficult to create a single consumer view.

Impact of Artificial Intelligence(AI) on data quality management

Data collection, storage, preparation, and advanced data analytics technologies are all included in the broad idea of artificial intelligence, or AI. Through connected data technologies, artificial intelligence systems are gradually integrating all areas of a business into a single component of data management. Let’s have a look at the working of AI for data quality management:

• Learning More Effortlessly

As it continues to educate itself, artificial intelligence likewise learns more quickly and effectively. Regardless of the ultimate objective of an artificial intelligence application, not all data or data sources are appropriate or effective for the machine learning algorithms that form the basis of artificial intelligence development.

• Elimination of Human Errors

Data quality presents one of the biggest challenges to the effective use of artificial intelligence systems in businesses. Recent years have seen a major advancement in data quality research as a result of increased reliance on data to support corporate decisions. To determine which quality characteristics are critical for assessing the quality of the data, researchers have been working to define concepts like accuracy, completeness, and authenticity.

• Data Trends are Recognised to Support Commercial Decision-making

Artificial intelligence can identify data trends to help in business decision-making. To avoid losing potentially valid data and having potentially incorrect data affect the outcome, the subject matter experts’ domain experience is leveraged to explain unexpected data patterns.

How AI and ML at GTS Transform Data Quality Management

Using a layered approach and AI, such as deep learning or machine learning (ML) models, GTS develops systems to segregate low-quality data and depends on effective bots to execute them. This technology is quite good at identifying tiny patterns that individuals could miss or not understand. These procedures can produce the clean data that ML algorithms require to ensure ongoing AI-proof quality, as well as the data that they need to evaluate it. Here is how it works:

• Detailed data profiling and control over fresh data

Most firms obtain their data from other sources. It is challenging to consistently guarantee higher data quality because the data may originate from numerous companies or through third-party applications. A trustworthy data profiling tool is useful in these circumstances.
The program should be able to look at the data’s patterns and formats, as well as any inconsistencies in each record, distributions of data values, and other pertinent details. Automating data profiling and quality alerts for incoming data whenever it is received is also essential.

• Define the parameters for data entry

One of the essential initial steps in enhancing data quality is to establish rules before adding data to the CRM system or any other system utilized by the organization. A substantial improvement will result from setting a standard for the data presentation during submission.
Each business’ standards are different, and the regulations will include measures for using the data for different decision-making practices. At GTS, we always emphasize these matters.

• Put AI to work cleaning

To meet the moving target and maintain data quality, requires ongoing regulating and ingesting of both good and bad data; it is not a “set it and forget it” procedure, which needs to be done by AI.
Humans are essential in this flywheel because they set the system and monitor the data to spot trends that influence the standard. They then feed the model with these properties as well as the rejected ones.

• Identify a quality metric

Instead of depending exclusively on manual intervention, GTS will help you in developing a grading system that enables you to identify common bot techniques. Subjectivity is necessary for the successful construction of a quality metric.
Establishing boundaries for reactions across components is a must for researchers. The next word in a series can be accurately predicted by AI, but it cannot replicate a person’s memory.

The Bottom Line

When creating data quality rules, metrics, defining data models, and standards that all employees must adhere to from the minute they enter a record into a system or extract a dataset from a third-party source, data quality dimensions serve as the reference point while using the AI and ML during the data quality management.
We at Globose Technology Solutions are fully aware that training data is an absolute necessity for your learning models. Use our platform to dramatically improve your data-quality management efforts with the technology of AI and ML, and gather a large number of premium datasets for quick machine model training.

Was wondering if there is anyway to have a white shirt and have the black spots scattered all over the shirt?