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Document Collection Software | Collect Bulk Documents & Data
DocuTick.com allows you to collect list of Documents and Data from your clients. Request Documents to your clients, collect and manage Documents on our portal. Accept or Reject Documents and store on DocuTick or Sync it into could Apps.
#Document Collection Software#Collect Bulk Documents and Data#Document Collection Software from client#Document Management Software#Secure Document Collection Software#Automated Document Collection Platform
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Immigration and Customs Enforcement is paying software company Palantir $30 million to provide the agency with “near real-time visibility” on people self-deporting from the United States, according to a contract justification published in a federal register on Thursday. The tool would also help ICE choose who to deport, giving special priority to “visa overstays,” the document shows.
Palantir has been an ICE contractor since 2011, but the document published Thursday indicates that Palantir wants to provide brand-new capabilities to ICE. The agency currently does not have any publicly known tools for tracking self-deportation in near real-time. The agency does have a tool for tracking self-reported deportations, but Thursday’s document, which was first reported by Business Insider, does not say to what degree this new tool may rely on self-reported data. ICE also has “insufficient technology” to detect people overstaying their visas, according to the Department of Homeland Security. This is particularly due to challenges in collecting "biographic and biometric" data from departing travelers, especially if they leave over land, according to Customs and Border Protection.
The agency says in the document that these new capabilities will be under a wholly new platform called the Immigration Lifecycle Operating System, or ImmigrationOS. Palantir is expected to provide a prototype of ImmigrationOS by September 25, 2025, and the contract is scheduled to last at least through September 2027. ICE’s update to the contract comes as the Trump administration is demanding that thousands of immigrants “self-deport,” or leave the US voluntarily.
ICE and Palantir did not respond for comment.
According to the document, ImmigrationOS is intended to have three core functions. Its “Targeting and Enforcement Prioritization” capability would streamline the “selection and apprehension operations of illegal aliens.” People prioritized for removal, ICE says, should be “violent criminals,” gang members, and “visa overstays.”
Its “Self-Deportation Tracking” function would have “near real-time visibility into instances of self-deporation,” the document says. The document does not say what data Palantir would use for such a system, but ICE says it aims to “accurately report metrics of alien departures from the United States.” The agency stipulates that this tool should also integrate with “enforcement prioritization systems to inform policy” but does not elaborate on these systems or policies.
Meanwhile, the “Immigration Lifecycle Process” function would streamline the “identification” of aliens and their “removal” from the United States, with the goal of making "deportation logistics” more efficient.
In a “rationale” section, ICE claims that it has an “urgent and compelling” need for ImmigrationOS’s capabilities. Without them, ICE claims, it would be “severely” limited in its ability to target the gangs MS-13 and Tren de Aragua, and abide by President Donald Trump’s executive order to expedite deportations.
Palantir, ICE claims, is “the only source that can provide the required capabilities and prototype of ImmogrationOS [sic] without causing unacceptable delays.” ICE says the company has developed “deep institutional knowledge of the agency’s operations over more than a decade of support.”
“No other vendor could meet these timeframes of having the infrastructure in place to meet this urgent requirement and deliver a prototype in less than six months,” ICE says in the document.
ICE’s document does not specify the data sources Palantir would pull from to power ImmigrationOS. However, it says that Palantir could “configure” the case management system that it has provided to ICE since 2014.
Palantir has done work at various other government agencies as early as 2007. Aside from ICE, it has worked with the US Army, Air Force, Navy, Internal Revenue Service, and Federal Bureau of Investigation. As reported by WIRED, Palantir is currently helping Elon Musk’s so-called Department of Government Efficiency (DOGE) build a brand-new “mega API” at the IRS that could search for records across all the different databases that the agency maintains.
Last week, 404 Media reported that a recent version of Palantir’s case-management system for ICE allows agents to search for people based on “hundreds of different, highly specific categories,” including how a person entered the country, their current legal status, and their country of origin. It also includes a person’s hair and eye color, whether they have scars or tattoos, and their license-plate reader data, which would provide detailed location data about where that person travels by car.
These functionalities have been mentioned in a government privacy assessment published in 2016, and it’s not clear what new information may have been integrated into the case management system over the past four years.
This week’s $30 million award is an addition to an existing Palantir contract penned in 2022, originally worth about $17 million, for work on ICE’s case management system. The agency has increased the value of the contract five times prior to this month; the largest was a $19 million increase in September 2023.
The contract’s ImmigrationOS update was first documented on April 11 in a government-run database tracking federal spending. The entry had a 248-character description of the change. The five-page document ICE published Thursday, meanwhile, has a more detailed description of Palantir’s expected services for the agency.
The contract update comes as the Trump administration deputizes ICE and other government agencies to drastically escalate the tactics and scale of deportations from the US. In recent weeks, immigration authorities have arrested and detained people with student visas and green cards, and deported at least 238 people to a brutal megaprison in El Salvador, some of whom have not been able to speak with a lawyer or have due process.
As part of its efforts to push people to self-deport, DHS in late March revoked the temporary parole of more than half a million people and demanded that they self-deport in about a month, despite having been granted authorization to live in the US after fleeing dangerous or unstable situations in Cuba, Haiti, Nicaragua, and Venezuela under the so-called “CHNV parole programs.”
Last week, the Social Security Administration listed more than 6,000 of these people as dead, a tactic meant to end their financial lives. DHS, meanwhile, sent emails to an unknown number of people declaring that their parole had been revoked and demanding that they self-deport. Several US citizens, including immigration attorneys, received the email.
On Monday, a federal judge temporarily blocked the Trump administration’s move to revoke people’s authorization to live in the US under the CHNV programs. White House spokesperson Karoline Leavitt called the judge’s ruling “rogue.”
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Unlock the other 99% of your data - now ready for AI
New Post has been published on https://thedigitalinsider.com/unlock-the-other-99-of-your-data-now-ready-for-ai/
Unlock the other 99% of your data - now ready for AI
For decades, companies of all sizes have recognized that the data available to them holds significant value, for improving user and customer experiences and for developing strategic plans based on empirical evidence.
As AI becomes increasingly accessible and practical for real-world business applications, the potential value of available data has grown exponentially. Successfully adopting AI requires significant effort in data collection, curation, and preprocessing. Moreover, important aspects such as data governance, privacy, anonymization, regulatory compliance, and security must be addressed carefully from the outset.
In a conversation with Henrique Lemes, Americas Data Platform Leader at IBM, we explored the challenges enterprises face in implementing practical AI in a range of use cases. We began by examining the nature of data itself, its various types, and its role in enabling effective AI-powered applications.
Henrique highlighted that referring to all enterprise information simply as ‘data’ understates its complexity. The modern enterprise navigates a fragmented landscape of diverse data types and inconsistent quality, particularly between structured and unstructured sources.
In simple terms, structured data refers to information that is organized in a standardized and easily searchable format, one that enables efficient processing and analysis by software systems.
Unstructured data is information that does not follow a predefined format nor organizational model, making it more complex to process and analyze. Unlike structured data, it includes diverse formats like emails, social media posts, videos, images, documents, and audio files. While it lacks the clear organization of structured data, unstructured data holds valuable insights that, when effectively managed through advanced analytics and AI, can drive innovation and inform strategic business decisions.
Henrique stated, “Currently, less than 1% of enterprise data is utilized by generative AI, and over 90% of that data is unstructured, which directly affects trust and quality”.
The element of trust in terms of data is an important one. Decision-makers in an organization need firm belief (trust) that the information at their fingertips is complete, reliable, and properly obtained. But there is evidence that states less than half of data available to businesses is used for AI, with unstructured data often going ignored or sidelined due to the complexity of processing it and examining it for compliance – especially at scale.
To open the way to better decisions that are based on a fuller set of empirical data, the trickle of easily consumed information needs to be turned into a firehose. Automated ingestion is the answer in this respect, Henrique said, but the governance rules and data policies still must be applied – to unstructured and structured data alike.
Henrique set out the three processes that let enterprises leverage the inherent value of their data. “Firstly, ingestion at scale. It’s important to automate this process. Second, curation and data governance. And the third [is when] you make this available for generative AI. We achieve over 40% of ROI over any conventional RAG use-case.”
IBM provides a unified strategy, rooted in a deep understanding of the enterprise’s AI journey, combined with advanced software solutions and domain expertise. This enables organizations to efficiently and securely transform both structured and unstructured data into AI-ready assets, all within the boundaries of existing governance and compliance frameworks.
“We bring together the people, processes, and tools. It’s not inherently simple, but we simplify it by aligning all the essential resources,” he said.
As businesses scale and transform, the diversity and volume of their data increase. To keep up, AI data ingestion process must be both scalable and flexible.
“[Companies] encounter difficulties when scaling because their AI solutions were initially built for specific tasks. When they attempt to broaden their scope, they often aren’t ready, the data pipelines grow more complex, and managing unstructured data becomes essential. This drives an increased demand for effective data governance,” he said.
IBM’s approach is to thoroughly understand each client’s AI journey, creating a clear roadmap to achieve ROI through effective AI implementation. “We prioritize data accuracy, whether structured or unstructured, along with data ingestion, lineage, governance, compliance with industry-specific regulations, and the necessary observability. These capabilities enable our clients to scale across multiple use cases and fully capitalize on the value of their data,” Henrique said.
Like anything worthwhile in technology implementation, it takes time to put the right processes in place, gravitate to the right tools, and have the necessary vision of how any data solution might need to evolve.
IBM offers enterprises a range of options and tooling to enable AI workloads in even the most regulated industries, at any scale. With international banks, finance houses, and global multinationals among its client roster, there are few substitutes for Big Blue in this context.
To find out more about enabling data pipelines for AI that drive business and offer fast, significant ROI, head over to this page.
#ai#AI-powered#Americas#Analysis#Analytics#applications#approach#assets#audio#banks#Blue#Business#business applications#Companies#complexity#compliance#customer experiences#data#data collection#Data Governance#data ingestion#data pipelines#data platform#decision-makers#diversity#documents#emails#enterprise#Enterprises#finance
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From Broken Search to Suicidal Vacuum Cleaners
I recently came across some dystopian news: Google had deliberately degraded the quality of its browser’s search function, making it harder for users to find information — so they’d spend more time searching, and thus be shown more ads. The mastermind behind this brilliant decision was Prabhakar Raghavan, head of the advertising division. Faced with disappointing search volume statistics, he made two bold moves: make ads less distinguishable from regular results, and disable the search engine’s spam filters entirely.
The result? It worked. Ad revenue went up again, as did the number of queries. Yes, users were taking longer to find what they needed, and the browser essentially got worse at its main job — but apparently that wasn’t enough to push many users to competitors. Researchers had been noticing strange algorithm behavior for some time, but it seems most people didn’t care.
And so, after reading this slice of corporate cyberpunk — after which one is tempted to ask, “Is this the cyberpunk we deserve?” — I began to wonder: what other innovative ideas might have come to the brilliant minds of tech executives and startup visionaries? Friends, I present to you a list of promising and groundbreaking business solutions for boosting profits and key metrics:
Neuralink, the brain-implant company, quietly triggered certain neurons in users’ brains to create sudden cravings for sweets. Neither Neuralink nor Nestlé has commented on the matter.
Predictive text systems (T9) began replacing restaurant names in messages with “McDonald’s” whenever someone typed about going out to eat. The tech department insists this is a bug and promises to fix it “soon.” KFC and Burger King have filed lawsuits.
Hackers breached the code of 360 Total Security antivirus software and discovered that it adds a random number (between 3 and 9) to the actual count of detected threats — scaring users into upgrading to the premium version. If it detects a competing antivirus on the device, the random number increases to between 6 and 12.
A new investigation suggests that ChatGPT becomes dumber if it detects you’re using any browser other than Microsoft Edge — or an unlicensed copy of Windows.
Character.ai, the platform for chatting with AI versions of movie, anime, and book characters, released an update. Users are furious. Now the AI characters mention products and services from partnered companies. For free-tier users, ads show up in every third response. “It’s ridiculous,” say users. “It completely ruins the immersion when AI-Nietzsche tells me I should try Genshin Impact, and AI-Joker suggests I visit an online therapy site.”
A marketing research company was exposed for faking its latest public opinion polls — turns out the “surveys” were AI-generated videos with dubbed voices. The firm has since declared bankruptcy.
Programmed for death. Chinese-made robot vacuum cleaners began self-destructing four years after activation — slamming themselves into walls at high speed — so customers would have to buy newer models. Surveillance cameras caught several of these “suicides” on film.
Tesla’s self-driving cars began slowing down for no reason — only when passing certain digital billboards.
A leading smart refrigerator manufacturer has been accused of subtly increasing the temperature inside their fridges, causing food to spoil faster. These fridges, connected to online stores, would then promptly suggest replacing the spoiled items. Legal proceedings are underway.
To end on a slightly sweeter note amid all this tar: Google is currently facing antitrust proceedings in the U.S. The information about its search manipulation came to light through documents revealed during the case. And it seems the court may be leaning against Google. The fact that these geniuses deliberately worsened their search engine to show more ads might finally tip the scales. As might other revelations — like collecting geolocation data even when it’s turned off, logging all activity in incognito mode, and secretly gathering biometric data. Texas alone is reportedly owed $1.375 billion in damages.
Suddenly, those ideas above don’t seem so far-fetched anymore, do they?
The bottom line: Google is drowning in lawsuits, losing reputation points, paying massive fines, and pouring money into legal defense. And most importantly — there’s a real chance the company might be split in two if it’s officially ruled a monopoly. Maybe this whole story will serve as a useful warning to the next “Prabhakar Raghavan” before he comes up with something similar.
I’d love to hear your ideas — who knows, maybe together we’ll predict what the near future holds. Or at the very least, we might inspire the next season of Black Mirror.
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Crypto Scam Recovery: How to Spot, Report, and Recover from Online Frauds
The world of cryptocurrency is booming, offering investors a decentralized and promising way to grow their wealth. But with that growth comes an increasing number of scams targeting unsuspecting users. From fake investment platforms to phishing attacks, online fraud is a real threat. The good news? Victims can take action. In this post, we’ll guide you on how to spot crypto scams, report them, and increase your chances of recovery.
How to Spot a Crypto Scam
Knowing how to recognize the signs of a scam can save you from massive losses. Below are common types of cryptocurrency scams and the red flags to watch out for.
1. Fake Investment Platforms
These websites or apps promise guaranteed returns on crypto investments. They often look professional and mimic real companies, but they operate purely to steal your funds.
Red Flags:
Promises of high, risk-free returns
Urgency to deposit funds quickly
No verifiable company background
2. Phishing Attacks
Scammers send emails, messages, or pop-ups that look like they’re from trusted platforms. These messages trick users into giving away private keys or login credentials.
Red Flags:
Misspelled URLs or suspicious email addresses
Requests for sensitive information
Offers or warnings that seem too good or too urgent
3. Pump and Dump Schemes
Fraudsters hype up a worthless coin to drive demand and inflate prices. Once the price peaks, they dump their holdings, causing massive losses for late investors.
Red Flags:
Unusual hype in online forums or social media
Sudden spike in price without real news or updates
Unverified claims about partnerships or technology
How to Report a Crypto Scam
If you’ve been scammed, it’s essential to report the incident immediately. Doing so not only helps protect others but also increases your chance of recovery.
1. Report to Local Authorities
File a police report or contact your country's cybercrime unit. Include all details—transaction history, wallet addresses, emails, and screenshots.
2. Notify the Exchange
If the scammer used a known exchange to receive your funds, contact that platform’s support team. Many exchanges can freeze the funds if reported in time.
3. Report to Online Watchdogs
Organizations like the Internet Crime Complaint Center (IC3), FTC, or Action Fraud (UK) collect reports to investigate and track online scams.
4. Alert Blockchain Forensics Firms
Specialized companies like Chainalysis or CipherTrace can trace stolen crypto on the blockchain. In many cases, they collaborate with law enforcement and legal teams to initiate recovery.
How to Recover from a Crypto Scam
While recovering lost crypto isn’t easy, it’s not impossible. Here’s a structured plan from crypto recovery experts:
1. Secure All Accounts
Change passwords and enable two-factor authentication on your wallets, exchanges, and email. Run a malware scan on your devices to ensure no backdoors remain.
2. Collect Evidence
Document every aspect of the fraud—wallet addresses, transaction IDs, email conversations, social media links, and screenshots. The more information you gather, the better.
3. Consult a Crypto Recovery Expert
Work with a reputable crypto recovery agency or blockchain forensic specialist. These professionals use tracking software to trace your funds across wallet addresses and exchanges.
Note: Be cautious—scammers also pose as recovery agents. Only trust firms with proven results, legal backing, and strong online presence.
Prevention Tips to Avoid Future Crypto Frauds
Use hardware wallets for secure storage of your crypto assets.
Double-check URLs before entering credentials.
Avoid platforms or individuals promising “guaranteed returns.”
Do your research before investing—verify reviews, company registration, and team transparency.
Final Thoughts
Crypto scams are becoming more sophisticated, but with awareness and the right actions, you can fight back. Spotting red flags early, reporting to the proper authorities, and seeking expert help are key steps toward recovery.
If you or someone you know has fallen victim to a crypto scam recovery, don’t delay. Act fast, gather your data, and reach out to professionals who can help you trace and possibly recover your stolen funds.
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Global Cybersecurity Breach Tied to Sunburst Computers Raises Concerns Over Privacy
(AP) Hong Kong— A massive cybersecurity breach linked to budget computer manufacturer Sunburst Computers has exposed sensitive personal data from millions of users worldwide, intensifying scrutiny over the company's controversial business practices. According to cybersecurity experts, a network of anonymous hackers known as Incognito has exploited vulnerabilities in Sunburst’s hardware and software, siphoning financial records, internet histories, and even webcam footage from unsuspecting customers.
The breach, first detected by independent security researchers, appears to be part of a broader pattern of exploitation that extends beyond digital threats. Sunburst, a subsidiary of multinational conglomerate Pentex, has long faced allegations of environmental destruction, exploitative labor conditions, and deliberate obsolescence in its product lines. Consumer advocacy groups have criticized the company for producing machines with substandard parts that frequently fail outside of warranty coverage, forcing users into a costly cycle of repairs and outsourced technical support.
At the heart of the latest controversy is Incognito, a decentralized hacking collective with a history of launching coordinated harassment campaigns and denial-of-service attacks. Investigators say the group has weaponized Sunburst’s security flaws to build extensive databases of potential victims, using stolen personal information to intimidate, manipulate, or outright ruin targets. "This is not just about cybercrime. It is psychological warfare," said Alex Chen, a cybersecurity analyst based in Singapore. "The people behind this aren’t motivated by financial gain alone. They take pleasure in destruction."
Sunburst has denied any wrongdoing, issuing a statement that dismissed the allegations as "baseless speculation" and claiming the company is committed to "customer security and ethical business practices." However, reports from labor watchdog organizations suggest otherwise. Journalists embedded in Sunburst's facilities have documented harrowing conditions, including workers subjected to shifts exceeding 20 hours and living in squalid company housing. Incidents of substance abuse, workplace injuries, and suicides have risen sharply among Sunburst's workforce, raising concerns that the company's rapid expansion has come at a human cost.
Meanwhile, environmental groups have condemned Sunburst’s supply chain, alleging the company uses plastics and non-biodegradable materials that contaminate local ecosystems. "They market themselves as a 'green' company, but their products are an ecological disaster from the moment they leave the factory to the day they’re dumped in a landfill," said Dr. Elaine Foster, a researcher with the Global Environmental Protection Initiative.
Authorities across multiple countries have launched investigations into Sunburst’s potential regulatory violations, but some watchdog groups fear the company's deep ties to powerful corporate interests could stall any meaningful action. As the breach continues to unfold, cybersecurity experts warn that even Sunburst's high-end machines remain vulnerable to Incognito's infiltration, leaving consumers at risk.
"This is bigger than just one company," Chen said. "It is an entire system built on exploitation, deception, and control. The real question is: how deep does this go?"
(AP)
#werewolf: the apocalypse#garou#werewolf#werewolves#werewolf the apocalypse#wyrm#weaver#wyld#world of darkness#black spiral dancers#pentex#sunburst computers#incognito#cybersecurity
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This day in history
#20yrsago SCO sends IBM 1,000,000 pieces of paper https://memex.craphound.com/2003/12/10/sco-sends-ibm-1000000-pieces-of-paper/
#20yrsago Urban farmers reclaim Detroit https://www.nytimes.com/2003/12/04/garden/in-the-capital-of-the-car-nature-stakes-a-claim.html
#15yrsago What the hell is a Credit Default Swap? https://web.archive.org/web/20090421013937/https://www.thisamericanlife.org/radio_episode.aspx?episode=365
#15yrsago EFF (cautiously) optimistic at record labels’ offering of a blanket license to universities https://www.eff.org/deeplinks/2008/12/labels-open-collective-licensing-campus
#15yrsago Austin teacher threatens to sic cops on Linux group because “No software is free” https://web.archive.org/web/20081212115427/https://www.austinist.com/2008/12/10/aisd_teacher_throws_fit_over_studen.php
#10yrsago FreeBSD won’t use Intel & Via’s hardware random number generators, believes NSA has compromised them https://arstechnica.com/information-technology/2013/12/we-cannot-trust-intel-and-vias-chip-based-crypto-freebsd-developers-say/
#10yrsago UK kids have the right to opt out of school fingerprinting (even if their parents are OK with it) https://informationrightsandwrongs.com/2013/12/07/the-kids-all-have-rights/
#10yrsago Canada’s spooks were NSA bagmen, established spy-posts in 20+ countries and “transnational targets” https://www.cbc.ca/news/politics/snowden-document-shows-canada-set-up-spy-posts-for-nsa-1.2456886
#10yrsago Peak indifference to surveillance https://www.theguardian.com/technology/2013/dec/09/internet-surveillance-spying
#10yrsago Tech giants call for global surveillance law reform https://www.eff.org/deeplinks/2013/12/eight-tech-giants-call-reform-surveillance-law
#10yrsago Cyanogenmod adds encrypted SMS from WhisperSystems https://web.archive.org/web/20131211063720/http://www.cyanogenmod.org/blog/whisperpush-secure-messaging-integration
#10yrsago Life from the near future of location surveillance https://www.aclu.org/issues/privacy-technology/location-tracking/meet-jack?redirect=meet-jack-or-what-government-could-do-all-location-data
#5yrsago Syndicated columnist censored for writing about the risks of hedge funds and billionaires buying papers https://www.texasobserver.org/the-jim-hightower-column-they-dont-want-you-to-read/
#5yrsago Rhode Island lawsuit argues that the Constitution guarantees a right to sufficient education to be an informed citizen https://theconversation.com/fight-for-federal-right-to-education-takes-a-new-turn-108322
#5yrsago Costa Rica abolished its army in 1949 and thereafter enjoyed the best per-capita GDP growth in the region https://www.ippapublicpolicy.org/file/paper/594eced12c818.pdf
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What are some challenges in deploying machine learning models into production?
Deployment of machine learning models into production involves a number of challenges that have to be dealt with to make sure that the models work fine in real-world environments. These include:
Scalability:
One major challenge will be to make the machine learning model robust with respect to the volume of data it is going to process in production. This basically includes large volumes of data being processed efficiently and quickly. Most of the time, this requires run-time performance optimization of the model and infrastructural considerations of distributed computing and cloud services for scaling.
Existing System Integration:
This makes the integration of machine learning models within existing software systems or workflows quite complex. The model should play well with other components, whether it is databases, APIs, or user interfaces. Ensuring interoperability and ease in integration will require planning and testing to be taken seriously.
Model Monitoring and Maintenance:
Models in deployment should be continuously monitored to ensure that everything works as expected, tracking accuracy, latency, and error rates. Over some time, models will degrade in performance due to changes in the distribution of data or other factors. Noting such degradation regularly, it should be re-trained and updated to be effective.
Data Management:
Data pipeline management is key to the quality and consistency of the data provided to the model. This shall consist of correct collection, cleaning, and preprocessing of data. Any kinds of errors in data quality will upset the performance and reliability of the model.
Handling Model Drift:
Model drift occurs when the statistical properties of the target variable change over time, which causes a decrease in model performance. Model drift detection and handling involve the process of tracking changes in the pattern of data and updating the model accordingly in order to deal with new situations.
Security and Privacy:
This is important for the unauthorized access protection of the model and data and for compliance purposes concerning data privacy regulations. More than that, sensitive information should be secure from leaking through data breaches by putting security controls in place.
Resource Management:
Machine learning model deployment can be resource-intensive. It requires adequate computational resources for model training and inference and proper resource allocation for managing operational costs arising from running the model in production.
Performance Optimization:
The model should perform well in terms of response time and resource usage. It may need performance optimization by various techniques, such as model compression or quantization for better inference speed, or hardware accelerators. User Acceptance and Feedback:
The deployed model can expect success only through user acceptance and feedback. This would be possible if the models were user-friendly and provided actionable insights to a great extent. There is a need to get feedback from the end-users and incorporate it into model improvements so that desired outcomes can be realized.
Documentation and Transparency:
In general, there are a lot of challenges associated with deployment, including issues of scalability, integration, monitoring, data management, and security, which can be overcome only by careful planning, ongoing maintenance, and a robust deployment strategy that will ensure the model gives reliable and valuable results in the real world.
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Thesis Writing

Realistic Goal Setting
One of the most critical aspects of thesis writing is setting realistic goals. Simply stating, “I’ll have my thesis written in 4 months,” can be overwhelming and counterproductive. Instead, break down this over arching aim into manageable goals. Setting smaller milestones, like completing specific sections or chapters within shorter time frames, provides a sense of achievement and maintains motivation.
Initial goals should be realistic, based on your personal working habits and prior experience. Many underestimate the time required, especially without prior experience in writing such extensive documents. Different tasks, like experiments, lab presentations, or conferences, will also compete for your time. Setting achievable goals and securing “easy wins” early on, such as completing a subsection of the Methods chapter, can build confidence and create a sense of accomplishment. As you progress, gradually set more challenging goals to push yourself further.
Organization
Effective thesis writing necessitates thorough preparation and organization. Before starting, ensure you have all the necessary information and materials. This includes:
Drafts of figures for each chapter, especially the Results.
Collated and analyzed raw data with clear statistical analysis descriptions.
Knowledge of the sources of equipment, chemicals, and composition of solutions.
A comprehensive bibliography using a reference database.
Having all this information at your fingertips prevents disruptions and ensures a smooth writing process. Understanding your data is crucial; conclusions cannot be drawn without knowing the outcomes of your experiments. Hence, organized data collection and analysis are essential to avoid any surprises during the write-up.
Thesis Content and Writing Process

A typical thesis includes the following sections: General Introduction, Methods, Results (with several sub-chapters), Overall Discussion, Bibliography, Acknowledgements, and Indexes. The suggested order for writing these sections is:
Methods: This chapter should be straight forward, detailing what you did and how. Be careful to avoid plagiarism, even in standard protocols, and ensure the inclusion of all methodologies used, especially for final experiments.
2. Results: Start with the easiest chapters or those that may form the basis of a manuscript. Results chapters do not have to follow the chronological order of experiments or the order they will appear in the final thesis.
3. General Introduction: This is often the most challenging part to write. It should provide a historical and contemporary assessment of the literature in your research field and outline the thesis focus. Creating an outline early in the process can help manage this chapter, breaking it into subsections for manageable writing and frequent revision.
4. Overall Discussion: This chapter should synthesize your findings, placing them in the context of your research field. Avoid repeating discussions from individual Results chapters.
Illustrating Your Thesis

Effective illustration of your data through figures is crucial. Good figures tell a story and provide a lasting legacy of your work. Tips for creating effective figures include:
Legibility: Use readable font sizes.
Consistency: Maintain consistency in data presentation.
Separation of panels: Use separate figures when possible to avoid clutter.
Color usage: Be mindful of color use, ensuring accessibility for color-blind individuals and black-and-white print versions.
Figures should be intensively revised and adapted, allowing time to master your figure-making software. Informative figure legends are essential, conveying the “take-home” message clearly.
Communication and Feedback
Maintaining communication with your supervisor throughout the writing process is crucial. Early feedback can prevent extensive revisions later. Schedule regular meetings to discuss drafts and incorporate feedback aimed at improving your work. This collaborative approach ensures your thesis aligns with academic standards and expectations.
Rewards and Relaxation
The thesis writing process can be exhausting and frustrating. Realistic goal setting should include rewarding yourself for completing tasks. Balance work and relaxation to maintain productivity and avoid burnout. Remember, completing your thesis is a significant step toward your career advancement.
Preparing a Manuscript for Publication

Thesis writing often leads to the preparation of manuscripts for peer-reviewed journals. This process involves:
Ensuring your study has a clear hypothesis and contributes significantly to the field.
Drafting Methods and Results sections first to highlight any missing data or additional analyses needed.
Writing a concise Discussion that places your findings in the context of existing research without recapitulating the Results section.
Finalizing Key points summary, Abstract, and Introduction after drafting the main content to ensure focus and clarity.
Following ethical and statistical reporting policies, including providing detailed Methods and ensuring data reproducibility.
Conclusion
The process of writing a thesis and preparing manuscripts is iterative and requires careful planning, organization, and communication. By setting realistic goals, staying organized, and seeking continuous feedback, you can navigate this challenging task effectively. Remember, your thesis is a significant milestone in your academic journey, paving the way for future research contributions and career advancements.
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RAF typhoons are sent to Poland for joint exercises before the Warsaw Security Forum
Fernando Valduga By Fernando Valduga 03/10/2023 - 16:00in Military
Four British Royal Air Force (RAF) Typhoon fighters were sent to Poland to conduct joint training exercises alongside allied aircraft from Poland, Spain and Italy.
The deployment will provide an opportunity for RAF pilots to practice air combat against different types of aircraft and develop tactics to exploit their weaknesses.
The Typhoons, which were sent to Poznan Air Base today, will remain in Poland for two weeks and will attack targets outside visual range, simulating several possible combat scenarios. They will be supported by a team of more than 50 RAF employees during the deployment.

It is just one of many joint exercises carried out with Polish forces, including the permanent sending of hundreds of troops from the United Kingdom to Poland, as part of NATO's commitment under Operation CABRIT.
The activity comes before the participation of UK Ministers in the Warsaw Security Forum this week. Defense Minister James Heappey and FCDO ministers Anne-Marie Trevelyan and Lord Ahmad will use the forum to emphasize the need to maintain support for Ukraine and pressure on Russia.

Earlier this year, the foreign ministers and defense ministers of the United Kingdom and Poland signed a strategic partnership on foreign policy, security and defense - emphasizing the commitment of both countries to European security and collective defense through NATO.
On Wednesday, James Heappey will visit the RAF personnel deployed with the Typhoons, as well as the troops deployed in eastern Poland operating the Sky Sabre surface-to-air missile system, strengthening Poland's air defenses near the border with Ukraine.

The Warsaw Security Forum focuses on transatlantic cooperation in response to common challenges, organized for the first time in 2014, bringing together ministers and senior officials from all over the defense to provide a forum to discuss the challenges faced by Central and Eastern Europe, and the international community in general.
The United Kingdom is the partner nation of this year's Warsaw security forum and the British Embassy in Warsaw worked closely with the Polish government and conference organizers to design a program that reflected the UK's objectives and views, as described in the Refresh 2023 Integrated Review and Defense Command Document 2023.
Tags: Military AviationEurofighter TyphoonNATO - North Atlantic Treaty OrganizationRAF - Royal Air Force/Royal Air Force
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Fernando Valduga
Fernando Valduga
Aviation photographer and pilot since 1992, he has participated in several events and air operations, such as Cruzex, AirVenture, Daytona Airshow and FIDAE. He has work published in specialized aviation magazines in Brazil and abroad. Uses Canon equipment during his photographic work throughout the world of aviation.
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Bookkeeping Mistakes Made By Small Businesses: How To Avoid Them
Small and Medium-sized businesses are eager to grow, but they often miss the fundamentals like understanding the value of Bookkeeping which may undermine business procedures.
Accounting is often overlooked by business owners who consider it easy. Incorrect accounting and bookkeeping processes may adversely impact any company’s finances. Recurring bookkeeping errors can actually bankrupt your business.
Bookkeeping Mistakes
Keeping financial records is a very important part of running a business, big or small. Bookkeeping that is accurate and well-organized makes sure that your financial records are up-to-date and precise, which helps you make good decisions and compliance with legal policies.
There are however some mistakes that small businesses often make with their books. Here are some of these mistakes.
Failure To Keep Records
Some small businesses fail to keep accurate financial records, which can lead to confusion and errors. Record-keeping is an essential process in organizing your financial records. Adopt best practices and create a system for organizing and storing your financial documents. These relevant documents may include invoices, receipts, and bank statements. It is helpful to consider using accounting software to automate the process and centralize everything.
Irregular Reconciling of Accounts
Failure to reconcile your bank and credit card accounts on a regular basis can lead to inconsistencies and inaccuracies. Reconciliation entails matching your financial records with your bank and credit card statements. Reconcile your accounts on a regular basis and resolve any discrepancies quickly to avoid problems.
Combining Personal and Business-Related Finances
It is critical to separate your personal and business finances by avoiding using personal accounts for business transactions. This can complicate bookkeeping and make it difficult to accurately track expenses and income. You must establish a separate business bank account and use it solely for business transactions.
Inconsistent Categorization
It is critical to properly categorize your income and expenses for accurate financial reporting. Refrain from inconsistent or ambiguous categorization, as it can make evaluating of your company’s financial health a lot more difficult. It will be helpful to create a chart of accounts with distinct categories that correspond to your field of business and use it regularly.
Neglecting Cash Transactions
Small businesses often transact in cash, which can be overlooked easily and not properly recorded. To ensure that cash transactions are accurately accounted for, use cash registers, petty cash logs, or digital tools. Better yet, set up a system for keeping track of and documenting all cash transactions, including sales and expenses.
Failure To Keep Track of Receivables and Payables
Failure to maintain track of unpaid invoices (accounts receivable) and bills to be paid (accounts payable) might jeopardize your cash flow and client-vendor relationships. Use accounting software with invoicing and payment tracking features to implement a structured strategy for monitoring and following up on both receivables and payables.
Mishandling Payroll
Payroll can be complicated, and mistakes can have legal and financial ramifications. Keep up with advances in payroll requirements, calculate wages and taxes accurately, and make timely payments to employees and tax authorities. To ensure accuracy and compliance, consider adopting efficient payroll software or you can also outsource payroll duties.
Failure To Keep Backup of Records
Financial records might be lost because of corrupted data, hardware failure, or other unanticipated factors. Back up your financial data on a regular basis and keep it secure. Cloud accounting software can back up your data automatically to add an extra degree of security.
Neglect To Track and Remit Sales Taxes
If your company is obligated to collect sales taxes, it is critical that you track and remit them appropriately. Understand your sales tax duties, register with the proper tax authorities, and maintain accurate sales and tax collection records. To simplify the process, consider employing seamless sales tax automation software.
Doing-It-Yourself
This is a critical error that can have serious consequences for your company. Because bookkeeping is a complex process, it is best to seek professional help from a bookkeeper or accountant to set up and review your bookkeeping system on a regular basis. They can assist you in avoiding mistakes, providing financial insights, and ensuring tax compliance.
You can reduce the likelihood of these frequent errors and retain accurate financial records for your small business by being proactive and following appropriate bookkeeping practices with the help of expert bookkeepers and record-keepers.
How to Avoid Bookkeeping Errors
To avoid bookkeeping errors some proactive steps must be taken by small business owners. This may include familiarizing yourself with basic bookkeeping principles and practices to help you navigate your financial records effectively and make informed decisions.
This can be further established by using a good bookkeeping system coupled with reliable accounting software. As a business owner, it is important to invest in a reputable accounting software solution that suits the needs of your business and reduces errors.
In addition, it is important to reconcile accounts regularly to ensure your financial records match financial statements to help identify discrepancies and errors promptly.
Keep meticulous records by maintaining detailed records of all financial transactions and accept that it is always best to seek professional assistance from reliable bookkeepers and record-keepers who specializes in small business finances.
By implementing these practices, small business owners can reduce the likelihood of committing bookkeeping errors while maintaining accurate financial records.
The Bottomline
When you own a company, you put yourself in a position to take advantage of many different possibilities, including the chance to learn from your errors. When it comes to making mistakes, the key to success is to steer clear of those that are readily apparent and cut down on others as much as you possibly can. Remember that good bookkeeping and record-keeping practices contribute to informed decision-making and long-term business success.
Consider this list seriously and implement its suggestion so you will be well on your way to running your business in profitable ways and expanding it in all ways possible.
There is more that you can achieve with the most reliable team of professional bookkeepers and record-keepers. Visit us now and get started!
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TAX PREPARATION BEST PRACTICES FOR A STRESS-FREE FILING SEASON
As we inch closer to the infamous tax filing season, the palpable tension in the air becomes almost unavoidable. For many, the thought of navigating the labyrinthine tax codes and forms is enough to induce a cold sweat. But it doesn't always have to be this way.
With a little forethought and meticulous planning, tax preparation can be a breezy, walk-in-the-park experience, saving you not only precious time but also potential penalties for mistakes or late submissions.
In this article, we'll dive headfirst into a wealth of expert tips, savvy strategies, and best practices for tax preparation that promise to transform your filing season from a stress-inducing nightmare into a seamless and orderly process.
From understanding how to maximize your deductions, to organizing your financial paperwork, to deciding whether to enlist the help of a professional, we'll equip you with all the tools and knowledge you need to tackle your tax preparation with confidence and ease.
Organize Your Financial Records
The foundation of a smooth tax preparation process is well-organized financial records. To ensure accuracy and efficiency in preparing your taxes, follow these steps for organizing your financial documents:
1. Gather all essential documents: Begin by collecting critical financial records related to your income, deductions, and credits. These may include W-2 forms, 1099 forms, bank statements, receipts for charitable donations, and business expense documentation.
2. Categorize and sort your records: Separate your financial documents into clearly defined categories, such as income, business expenses, and deductions. This approach will make it easier to locate and reference specific documents when preparing your tax return.
3. Use a system for tracking expenses: Implementing a consistent method for recording and tracking your expenses throughout the year, such as financial software or a dedicated expense journal, can greatly simplify the tax preparation process.
4. Store documents securely: Keep your financial records in a secure location, whether it's a physical filing cabinet or encrypted digital storage. This ensures easy access to essential information while protecting your sensitive financial data.
Understand Your Tax Obligations and Deadlines
Staying informed about your tax obligations and deadlines is essential for avoiding penalties or other consequences. To ensure you're educated and prepared for tax season, consider the following tips:
1. Stay up-to-date on tax laws: Tax laws and regulations can change frequently, so make a point to stay informed about any updates or changes that may impact your tax return.
2. Identify the appropriate tax forms: Depending on your financial circumstances, you may need to complete various tax forms. Ensure you've correctly identified and obtained the necessary forms prior to beginning your tax preparation process.
3. Familiarize yourself with relevant tax credits and deductions: Research and understand the tax credits and deductions available to you, enabling you to maximize your tax savings.
4. Be aware of tax deadlines: Missing tax filing deadlines can result in costly penalties. Mark the relevant tax deadlines on your calendar, and consider filing your return early to avoid last-minute stress.
Avoid Common Tax Filing Mistakes
Mistakes during the tax preparation process can lead to delays, penalties, or even audits. To safeguard against errors, follow these guidelines:
1. Double-check your personal information: Confirm that critical details, such as your Social Security number and address, are correct on your tax return.
2. Report all income: Ensure that you report all forms of income, including freelance work, investment income, or gig economy earnings.
3. Verify your deductions and credits: Carefully review your deductions and credits to ensure you’ve followed the guidelines and have correctly calculated the amounts claimed.
4. File electronically: Electronic filing reduces the likelihood of errors and offers faster processing times for tax refunds.
Partner with Advance Tax Relief for Expert Tax Preparation
Enlisting professional tax preparation assistance from Advance Tax Relief offers numerous benefits, including:
1. Accurate and compliant tax filings: Experienced tax professionals possess thorough knowledge of tax laws and regulations, ensuring your return is completed accurately and in compliance with current tax legislation.
2. Time-saving convenience: Outsourcing your tax preparation can free up valuable time, allowing you to focus on your personal and professional goals without the distraction of tax season stress.
3. Proactive tax planning: Advance Tax Relief can also assist with proactive tax planning strategies, identifying opportunities for tax savings and advising on strategies to minimize your tax liability for future filing seasons.
4. Audit support and representation: Should you face an IRS audit, Advance Tax Relief can provide expert guidance, support, and representation throughout the process, alleviating your concerns and simplifying a potentially overwhelming experience.
Achieve a Stress-free Filing Season with Advance Tax Relief
Implementing best practices for tax preparation can help ensure a smooth, stress-free filing season, allowing you to concentrate on your financial objectives with confidence. Advance Tax Relief, a leading tax resolution company in Houston, Texas, is dedicated to providing expert tax preparation services, ensuring accuracy and compliance in your tax filings, and offering support for future tax planning and potential audit situations.
Discover how our experienced team can simplify the tax preparation process, enabling you to approach each filing season with confidence and ease. Contact us today to explore our comprehensive tax solutions and services and begin your journey towards a hassle-free tax filing experience.
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Generative AI tools such as OpenAI’s ChatGPT and Microsoft’s Copilot are rapidly evolving, fueling concerns that the technology could open the door to multiple privacy and security issues, particularly in the workplace.
In May, privacy campaigners dubbed Microsoft’s new Recall tool a potential “privacy nightmare” due to its ability to take screenshots of your laptop every few seconds. The feature has caught the attention of UK regulator the Information Commissioner’s Office, which is asking Microsoft to reveal more about the safety of the product launching soon in its Copilot+ PCs.
Concerns are also mounting over OpenAI’s ChatGPT, which has demonstrated screenshotting abilities in its soon-to-launch macOS app that privacy experts say could result in the capture of sensitive data.
The US House of Representatives has banned the use of Microsoft’s Copilot among staff members after it was deemed by the Office of Cybersecurity to be a risk to users due to “the threat of leaking House data to non-House approved cloud services.”
Meanwhile, market analyst Gartner has cautioned that “using Copilot for Microsoft 365 exposes the risks of sensitive data and content exposure internally and externally.” And last month, Google was forced to make adjustments to its new search feature, AI Overviews, after screenshots of bizarre and misleading answers to queries went viral.
Overexposed
For those using generative AI at work, one of the biggest challenges is the risk of inadvertently exposing sensitive data. Most generative AI systems are “essentially big sponges,” says Camden Woollven, group head of AI at risk management firm GRC International Group. “They soak up huge amounts of information from the internet to train their language models.”
AI companies are “hungry for data to train their models,” and are “seemingly making it behaviorally attractive” to do so, says Steve Elcock, CEO and founder at software firm Elementsuite. This vast amount of data collection means there’s the potential for sensitive information to be put “into somebody else’s ecosystem,” says Jeff Watkins, chief product and technology officer at digital consultancy xDesign. “It could also later be extracted through clever prompting.”
At the same time, there’s the threat of AI systems themselves being targeted by hackers. “Theoretically, if an attacker managed to gain access to the large language model (LLM) that powers a company's AI tools, they could siphon off sensitive data, plant false or misleading outputs, or use the AI to spread malware,” says Woollven.
Consumer-grade AI tools can create obvious risks. However, an increasing number of potential issues are arising with “proprietary” AI offerings broadly deemed safe for work such as Microsoft Copilot, says Phil Robinson, principal consultant at security consultancy Prism Infosec.
“This could theoretically be used to look at sensitive data if access privileges have not been locked down. We could see employees asking to see pay scales, M&A activity, or documents containing credentials, which could then be leaked or sold.”
Another concern centers around AI tools that could be used to monitor staff, potentially infringing their privacy. Microsoft’s Recall feature states that “your snapshots are yours; they stay locally on your PC” and “you are always in control with privacy you can trust.”
Yet “it doesn’t seem very long before this technology could be used for monitoring employees,” says Elcock.
Self-Censorship
Generative AI does pose several potential risks, but there are steps businesses and individual employees can take to improve privacy and security. First, do not put confidential information into a prompt for a publicly available tool such as ChatGPT or Google’s Gemini, says Lisa Avvocato, vice president of marketing and community at data firm Sama.
When crafting a prompt, be generic to avoid sharing too much. “Ask, ‘Write a proposal template for budget expenditure,’ not ‘Here is my budget, write a proposal for expenditure on a sensitive project,’” she says. “Use AI as your first draft, then layer in the sensitive information you need to include.”
If you use it for research, avoid issues such as those seen with Google’s AI Overviews by validating what it provides, says Avvocato. “Ask it to provide references and links to its sources. If you ask AI to write code, you still need to review it, rather than assuming it’s good to go.”
Microsoft has itself stated that Copilot needs to be configured correctly and the “least privilege”—the concept that users should only have access to the information they need—should be applied. This is “a crucial point,” says Prism Infosec’s Robinson. “Organizations must lay the groundwork for these systems and not just trust the technology and assume everything will be OK.”
It’s also worth noting that ChatGPT uses the data you share to train its models, unless you turn it off in the settings or use the enterprise version.
List of Assurances
The firms integrating generative AI into their products say they’re doing everything they can to protect security and privacy. Microsoft is keen to outline security and privacy considerations in its Recall product and the ability to control the feature in Settings > Privacy & security > Recall & snapshots.
Google says generative AI in Workspace “does not change our foundational privacy protections for giving users choice and control over their data,” and stipulates that information is not used for advertising.
OpenAI reiterates how it maintains security and privacy in its products, while enterprise versions are available with extra controls. “We want our AI models to learn about the world, not private individuals—and we take steps to protect people’s data and privacy,” an OpenAI spokesperson tells WIRED.
OpenAI says it offers ways to control how data is used, including self-service tools to access, export, and delete personal information, as well as the ability to opt out of use of content to improve its models. ChatGPT Team, ChatGPT Enterprise, and its API are not trained on data or conversations, and its models don’t learn from usage by default, according to the company.
Either way, it looks like your AI coworker is here to stay. As these systems become more sophisticated and omnipresent in the workplace, the risks are only going to intensify, says Woollven. “We're already seeing the emergence of multimodal AI such as GPT-4o that can analyze and generate images, audio, and video. So now it's not just text-based data that companies need to worry about safeguarding.”
With this in mind, people—and businesses—need to get in the mindset of treating AI like any other third-party service, says Woollven. “Don't share anything you wouldn't want publicly broadcasted.”
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ASATA Statement on Palestine | October 2023

ASATA members joined hundreds of protesters in front of the Israeli consulate in San Francisco on October 8, 2023.
The Alliance of South Asians Taking Action stands in solidarity with the people of Palestine in the face of the current escalation of violence unfolding in Gaza and the West Bank. Over the last two weeks, ASATA members looked to the leadership of Palestinian activists in the San Francisco Bay Area who continue to lead protests that lift up the unrelenting resistance of those living under violent occupation.
As we mobilized for direct actions and joined the call for Palestinian liberation, we also deepened our understanding of how the state of Israel’s settler colonial tactics are proliferated and being replicated in the Indian government’s violent occupation of Kashmir. As part of a diverse South Asian Diaspora, ASATA members clearly see the close relationship between Hindutva (Hindu Nationalism) and Zionist ideologies. As South Asians, we challenge all forms of imperialism. Thus, we oppose Zionism, a settler colonial project displacing indigenous Palestinians, resulting in the world’s largest diasporic refugee population.
The current close relationship between India and Israel has enabled a security regime where India has adopted Israeli tactics of collective punishment (such as the arbitrary revocation of residency and citizenship rights, arbitrary detention, statewide suspension of internet, etc.) in its occupation of Kashmir. The deployment of the Israeli hacking software Pegasus to spy on Indian journalists, lawyers, activists, academics, supreme court judges, opposition politicians, and many others must be seen in the context of the announcement by India and Israel that cyber security is a key area of cooperation between them. The NSO group, an Israeli firm that’s an expert in cyber surveillance, has in effect abetted the Indian government’s surveillance of its own citizens as it has done in a dozen other countries.
The Israeli government’s alliance with and support of the BJP’s Hindutva agenda is part of a longer history where it has exported its violent policies and military tactics to South Asia in order to suppress resistance movements there. For example, The New York Times has reported that as early as the 1980s, Israeli intelligence agents trained their Sri Lankan counterparts in their fight against Tamil groups. Israeli human rights lawyer Eitay Mack has raised questions about Israel’s more recent role in war crimes committed during the Sri Lankan civil war, and has called for criminal investigations into the involvement of Israeli companies, officials, and individuals.
India’s embrace of Israel is polarizing the Indian-American diaspora, and has exacerbated the islamophobia of those who subscribe to the toxic ideology of Hindutva. The US-India Political Action Committee (USINPAC) is modeled after AIPAC and the AJC, and the Hindutva lobby’s use of the accusation of “Hinduphobia” to shut down critical discourse is inspired by the Zionist lobby’s success in silencing critics of Israel’s policies by weaponizing charges of anti-semitism.
The BJP’s fearsome “IT Cell” is a massive disinformation machine that amplifies Hindutva propaganda through an army of paid employees and volunteers that flood social media with fake news, and through a large-scale use of bots that power harassment and trolling campaigns. Many accounts known to push Hindutva content are now being used to spread disinformation about Hamas while continuing their systematic spreading of islamophobic content.
Indeed, as documented by BOOM, one of India's most reputable fact-checking websites, India is now one of the largest sources for disinformation targeting Palestinians negatively. We call on fellow South Asians in the diaspora to condemn the demonization of Palestinians, and ensure we do not contribute to the spread of disinformation and anti-Muslim hate.
We take inspiration from the women of India’s National Federation of Dalit Women (NFDW) who have declared their solidarity with Palestinians — invoking the “historic oppression” and “systematic dehumanization” that both communities have faced.
We are also in solidarity with the many anti-Zionist Jewish groups and individuals both within Israel and world-wide that are opposing the Israeli state’s attacks on Palestine, and its long standing policy of apartheid against the Palestinian people.
We call on our fellow South Asians and South Asia- led organizations in the United States to reject the “both sides” argument that invisiblizes the experiences and dignity of the Palestinian people. We call for an immediate ceasefire and end to the ongoing siege and genocide in Gaza. We call on the US to stop arming the Israeli apartheid regime with billions’ of dollars worth of weaponry. And finally, We invite our communities to embrace the ways our histories of anti-imperialist struggles are connected so that we may build power and protect our communities against anti-Musilm hate violence and state-sponsored terrorism. Free Palestine.
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Importance of Internal Audits
Internal audits are essential for assessing an organization's operations, identifying risks, ensuring compliance with regulations, and improving overall efficiency. They provide insights into financial, operational, and compliance-related aspects of your business.
Why Use Software for Internal Audits?
Efficiency: Software automates many audit processes, reducing the time and effort required to conduct audits.
Accuracy: Manual audits can be error-prone. Audit software helps ensure accuracy in data collection and analysis.
Consistency: Software enforces consistent audit procedures and documentation across your organization.
Real-time Reporting: With audit software, you can generate real-time reports, making it easier to track progress and address issues promptly.
Data Security: Audit software enhances data security, protecting sensitive information from unauthorized access.
Top Software Solutions for Internal Audits
ACL GRC: ACL GRC offers a comprehensive solution for internal audits, including risk assessment, data analysis, and reporting. It's known for its user-friendly interface and robust analytics.
TeamMate+: TeamMate+ is a widely used audit management software that streamlines the entire audit process, from planning to reporting. It offers customizable templates and powerful reporting tools.
AuditBoard: AuditBoard is a cloud-based platform that provides tools for risk assessment, audit management, and compliance. Its user-friendly interface makes it accessible to auditors at all levels.
Wolters Kluwer TeamMate Analytics: This software focuses on data analytics, helping auditors identify trends and anomalies in data. It integrates seamlessly with other audit management systems.
SAP Audit Management: If your organization uses SAP, their Audit Management software is a natural choice. It offers a unified platform for audit planning, execution, and reporting.
Conclusion
In today's fast-paced business environment, efficient and accurate internal audits are crucial for staying competitive and compliant. Investing in audit software can streamline your audit processes, improve accuracy, and provide valuable insights for decision-making. Evaluate your organization's needs and explore the options mentioned above to find the best software for doing internal audits that align with your goals and objectives.
For more details - https://m2iconsulting.com/blog-detail.php?name=Software%20for%20Doing%20Internal%20Audit&id=64
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Choosing Between MS Office Mac and MS Office 365: What Users Need to Know
In the ultra-modern, rapid-converting digital environment, it's greater important than ever to have the important equipment to get things completed. The administrative center has grown past its physical limits, and software like MS Office Mac is pretty essential for employees who use Apple products. Many folks who use Microsoft Office for faculty, tasks, or private motives have to determine which version works exceptionally for them. Knowing the variations and choosing the right one might also greatly raise productivity and the person's experience.
The Role of Ms Office Mac in Apple Ecosystems
For Mac users, Speed and compatibility are the most important things. That's where MS Office Mac really shines. It is designed to work nicely with macOS, making it easy to apply with built-in functions like Spotlight, the Touch Bar, and macOS dictation. It appears a lot like the Windows version, but it has features that paint higher on Apple systems. People who work, are creative or are students who use Mac computers like this version since it works well and looks well on their platform.
Understanding License Types and Offline Functionality
One of the most important things for purchasers to think about is whether they want to buy something once or on a subscription basis. You may download MS Office Mac in both formats, so you can select the one that works best for you and your budget. The standalone edition gives customers lifelong access without monthly costs, which is great for those who want to own everything. However, it could not get frequent upgrades or new cloud features as subscription models do. This means that customers need to decide whether having features updated all the time or owning the software once is better for how they operate.
The Advantages of Ms Office 365 In Modern Work Environments
Cloud-primarily based solutions are getting increasingly more popular, and MS Office 365 is an example of this change in how software program is delivered. This model does not just get mounted as soon as possible and then left to age. Instead, it gets everyday enhancements, can be accessed from any tool, and has built-in cloud storage with OneDrive. This approach works properly for folks who work at home, on the cross, or depend upon working collectively. MS Office 365 has a large gain considering that you can move out of your laptop for your phone within the midst of a task and also have full right of entry to your documents, emails, and calendars.
How Ms Office 365 Promotes Flexibility and Productivity
You can now be productive from anywhere and on any screen. You can use MS Office 365 on several structures, such as phones, capsules, and PCs, to get to programs like Word, Excel, PowerPoint, and Teams. Users constantly get the newest capabilities and security fixes since they receive common updates. The suite also has integrated skills for operating collectively, such as real-time co-authoring and report sharing, that is very vital for group tasks, patron work, and rapid-paced settings. This flexibility improves productivity without decreasing fines or safety.
Conclusion
The choice between MS Office Mac and MS Office 365 comes right down to what you cost most to your personal or expert existence: balance and offline functioning or flexibility and regular innovation. Key-Soft.Pl/en gives reliable alternatives for each Mac and subscription-primarily based customers who need to get real and safe Microsoft software that meets their needs. Choosing the suitable model will assist you in getting matters achieved quicker, making certain everything works together, and keeping up with the fast-paced virtual global we live in nowadays.
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