#boost data accuracy

[dextara]

🔗 Seamlessly Connect Your Systems with Salesforce Integration Services! 🌐

Struggling to sync your Salesforce CRM with other tools and platforms? Salesforce Integration Services ensure that all your business systems—from ERP to marketing automation—work together seamlessly! Streamline your operations, boost data accuracy, and unlock new efficiencies. Dextara Datamatics

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Integrate smarter and accelerate your business success! 🚀💼

[axolterp]

Axolt: Modern ERP and Inventory Software Built on Salesforce

Today’s businesses operate in a fast-paced, data-driven environment where efficiency, accuracy, and agility are key to staying competitive. Legacy systems and disconnected software tools can no longer meet the evolving demands of modern enterprises. That’s why companies across industries are turning to Axolt, a next-generation solution offering intelligent inventory software and a full-fledged ERP on Salesforce.

Axolt is a unified, cloud-based ERP system built natively on the Salesforce platform. It provides a modular, scalable framework that allows organizations to manage operations from inventory and logistics to finance, manufacturing, and compliance—all in one place.

Where most ERPs are either too rigid or require costly integrations, Axolt is designed for flexibility. It empowers teams with real-time data, reduces manual work, and improves cross-functional collaboration. With Salesforce as the foundation, users benefit from enterprise-grade security, automation, and mobile access without needing separate platforms for CRM and ERP.

Smarter Inventory Software Inventory is at the heart of operational performance. Poor inventory control can result in stockouts, over-purchasing, and missed opportunities. Axolt’s built-in inventory software addresses these issues by providing real-time visibility into stock levels, warehouse locations, and product movement.

Whether managing serialized products, batches, or kits, the system tracks every item with precision. It supports barcode scanning, lot and serial traceability, expiry tracking, and multi-warehouse inventory—all from a central dashboard.

Unlike traditional inventory tools, Axolt integrates directly with Salesforce CRM. This means your sales and service teams always have accurate availability information, enabling faster order processing and better customer communication.

A Complete Salesforce ERP Axolt isn’t just inventory software—it’s a full Salesforce ERP suite tailored for businesses that want more from their operations. Finance teams can automate billing cycles, reconcile payments, and manage cash flows with built-in modules for accounts receivable and payable. Manufacturing teams can plan production, allocate work orders, and track costs across every stage.

[oneaichat]

How Authors Can Use AI to Improve Their Writing Style

Artificial Intelligence (AI) is transforming the way authors approach writing, offering tools to refine style, enhance creativity, and boost productivity. By leveraging AI writing assistant authors can improve their craft in various ways.

1. Grammar and Style Enhancement

AI writing tools like Grammarly, ProWritingAid, and Hemingway Editor help authors refine their prose by correcting grammar, punctuation, and style inconsistencies. These tools offer real-time suggestions to enhance readability, eliminate redundancy, and maintain a consistent tone.

2. Idea Generation and Inspiration

AI can assist in brainstorming and overcoming writer’s block. Platforms like OneAIChat, ChatGPT and Sudowrite provide writing prompts, generate story ideas, and even suggest plot twists. These AI systems analyze existing content and propose creative directions, helping authors develop compelling narratives.

3. Improving Readability and Engagement

AI-driven readability analyzers assess sentence complexity and suggest simpler alternatives. Hemingway Editor, for example, highlights lengthy or passive sentences, making writing more engaging and accessible. This ensures clarity and impact, especially for broader audiences.

4. Personalizing Writing Style

AI-powered tools can analyze an author's writing patterns and provide personalized feedback. They help maintain a consistent voice, ensuring that the writer’s unique style remains intact while refining structure and coherence.

5. Research and Fact-Checking

AI-powered search engines and summarization tools help authors verify facts, gather relevant data, and condense complex information quickly. This is particularly useful for non-fiction writers and journalists who require accuracy and efficiency.

Conclusion

By integrating AI into their writing process, authors can enhance their style, improve efficiency, and foster creativity. While AI should not replace human intuition, it serves as a valuable assistant, enabling writers to produce polished and impactful content effortlessly.

[improbable-outset]

📂 𝐒𝐭𝐫𝐞𝐬𝐬…

↳ 📂 𝐒𝐩𝐢𝐝𝐞𝐫���𝐞𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐥𝐢𝐬𝐭.𝐟𝐢𝐥𝐞

Loosely inspired by @mybvalentine fic here but reverse comfort lol

There was a mechanical hum that droned on in his sterile lab— a sound that was nothing but white noise to him but now it felt obnoxious.

Miguel’s brows creased further as he thoroughly analysed the data on his screen, adjusting the intricate genetic sequence.

His holographic blueprint of a DNA strand would flicker above his workstation as he continuously ran simulations.

He felt extra pressure of an upcoming meeting loom over him like a dark shadow. He was preparing for a meeting in a few hours with the Alchemax executives, reviewing the data he had been collecting; so precision and accuracy was vital.

Any miscalculations or errors could result in long-term consequences, putting more strain on his work.

He was running on a few hours of sleep, burning the midnight oil, and had been sitting on the same desk chair over the last few hours.

Not too much time had passed before you knocked on the door to his lab. He looked up from his work to see you.

All the tension that thickened in the room had vanished, and he felt his shoulders droop a fraction in ease as you headed closer towards his desk.

His sanctuary.

His solace.

The whiff of your familiar perfume was a reminder of why he would come home every night. A stark contrast to the stale air in the lab he was accustomed to.

You placed a steaming mug of coffee on the desk before you pecked his cheek.

A blissful blip in his blaring background noise of his life. Even if it was a small gesture, it was enough to give him that drive he needed.

“Eres increíble, pero olvides cuidarte amor,” you uttered before you swiftly left the lab.

If he wasn’t feeling motivated before, your words definitely gave him the boost he needed now. Even if he wanted you to stay a little longer, he knew you had your own work to catch up on.

Just before you were out of his sight, he noticed you were wearing one of the dresses he loved. It eventuated your waist and gave the perfect view of the curves of your ass.

But right now it was covered up by your lab coat. He couldn’t wait to get home and take that dress off of you later that day.

As a technician girlie who works in the lab, when it is my turn pls pls

[enzaelectric]

Common Electrical Issues That a High-Quality Current Transformer Can Prevent

In today’s fast-paced industrial world, electrical reliability is more crucial than ever. A small error in current measurement can lead to serious system failures, downtime, and costly repairs. This is where high-quality current transformers (CTs) make a huge difference. But what exactly can a superior CT prevent? Let’s dive in.

What Is a Current Transformer?

A current transformer (CT) is an essential device used to measure alternating current (AC) by producing a scaled-down, manageable current for meters, relays, and other instruments. It enables safe monitoring and accurate metering in high-voltage environments, protecting both equipment and personnel.

Common Electrical Problems a High-Quality CT Can Prevent

1. Overloading and Equipment Failure

Problem: Without accurate current measurement, systems can easily become overloaded, causing motors, transformers, and cables to overheat.

How a CT Helps: A precision CT ensures real-time, reliable current monitoring. It detects overcurrent conditions immediately, allowing protective relays to trip and prevent expensive equipment damage.

2. Inaccurate Energy Billing

Problem: Incorrect current readings can lead to wrong billing, causing businesses to either overpay for energy or face disputes with utilities.

How a CT Helps: High-accuracy CTs provide precise energy data for billing and cost allocation, especially critical in commercial complexes, factories, and power plants.

3. Protection Relay Malfunction

Problem: If a CT delivers incorrect signals, protection relays may not operate during faults, leading to extended damage and system blackouts.

How a CT Helps: Reliable CTs ensure protection relays receive the correct fault current levels, enabling fast and accurate circuit isolation.

4. Short Circuits Going Undetected

Problem: A minor fault can escalate into a full-blown short circuit if the protection system doesn’t detect it early.

How a CT Helps: Quality CTs capture even small fault currents, triggering alarms or shutdowns before damage spirals out of control.

5. Phase Imbalance Issues

Problem: Imbalanced phases cause excessive heating, motor inefficiency, and damage to sensitive equipment.

How a CT Helps: High-precision CTs monitor each phase accurately, enabling detection of phase unbalance conditions early and preventing system inefficiencies.

6. Harmonic Distortions and Power Quality Problems

Problem: Harmonic distortions interfere with the performance of sensitive equipment and reduce the overall power quality.

How a CT Helps: Specialized CTs can detect abnormal waveform distortions, enabling corrective action through harmonic filtering or load balancing.

Why Invest in a High-Quality Current Transformer?

Accuracy: Achieve metering-class precision essential for both billing and protection. Durability: Longer lifespan even in harsh industrial environments. Safety: Better insulation, thermal stability, and overload capacity. Compliance: Meets international standards like IEC and ANSI.

How Enza Electric Ensures CT Excellence

At Enza Electric, we specialize in manufacturing current transformers built with precision, reliability, and global standards compliance. Whether you need CTs for commercial metering, industrial protection, or utility-scale power distribution, our solutions guarantee unmatched performance.

Customizable options for various ratings High dielectric strength for safety Long service life even in extreme conditions

Explore our Current Transformer Range

Final Thoughts

A high-quality current transformer isn’t just a tool — it’s a first line of defense for your electrical system. Investing in precision-engineered CTs prevents common electrical issues, boosts system longevity, ensures accurate billing, and improves overall operational safety.

If you’re serious about protecting your infrastructure and optimizing performance, choosing Enza Electric’s current transformers is a smart move.

[phonesuite]

Examine the role of real-time data processing in boosting detection accuracy, emphasizing the benefits of utilizing streaming data technologies to provide timely and actionable insights for decision-making to improve data observability for better business insights. Learn More...

[biomartic]

Biometric Attendance Management System | Only 1 SGD Per Month

A Biometric Attendance Management System is a modern, secure, and highly efficient method for tracking employee attendance using biometric data such as fingerprints, facial recognition, or iris scans. Unlike traditional attendance systems that rely on manual entries or swipe cards, a Biometric Attendance Management System ensures accuracy, eliminates time theft, and prevents proxy attendance. Businesses of all sizes, from small startups to large corporations, are now shifting towards biometric solutions to maintain transparency and improve workforce management.

One of the most attractive offerings in the market today is the Biometric Attendance Management System | Only 1 SGD Per Month plan. This cost-effective solution makes advanced attendance tracking accessible to businesses with limited budgets, especially in competitive markets like Singapore. At just 1 SGD monthly, companies can enjoy premium biometric services without compromising on quality. It includes features like real-time attendance tracking, automated reports, integration with payroll, and secure cloud-based data storage.

Implementing a Biometric Attendance Management System significantly reduces administrative workload. HR teams no longer need to manually check timesheets or address attendance discrepancies. The system automatically records accurate timestamps every time an employee checks in or out. This not only improves operational efficiency but also boosts employee accountability and punctuality. With biometric authentication, the risk of buddy punching or attendance fraud is virtually eliminated.

Additionally, opting for a Biometric Attendance Management System | Only 1 SGD Per Month ensures businesses remain compliant with labor laws and company policies by maintaining accurate and tamper-proof attendance records. These records can be easily accessed for audits, employee evaluations, and payroll calculations, ensuring smooth administrative operations. The affordable pricing makes it a valuable investment, providing a high return through increased productivity and reduced payroll errors.

In conclusion, integrating a Biometric Attendance Management System into your business operations is a smart, future-ready decision. With an affordable plan of Only 1 SGD Per Month, companies can benefit from precise attendance management, enhanced security, and seamless integration with existing HR systems. This modern solution not only streamlines workforce management but also fosters a culture of discipline and reliability in the workplace.

For more details Visit us: https://exigasoftware.com.sg/biometric-attendance-management-system/

Email: sales@exigasoftware.com.sg

[stuarttechnologybob]

How does data capture services benefit a business?

Data Capture services

In the current digital age, data secrecy is recognized as the most valuable asset for any business. However, collecting it manually and investing time in it personally is time-consuming and prone to errors, as it is subject to matters. That’s where data capture services come in. While these services enable the enterprises to collect, organize, store and process information quickly and accurately, resulting in more informed decisions and enhanced efficiency for the organization to go ahead.

Faster Access to Information:

Data-capturing services automate the process of gathering data from various sources, including documents, forms, emails, and other digital assets. As this process speeds up the process to access critical information, enabling employees to work more towards the betterment efficiently and respond promptly towards customer needs or business challenges.

Improved Accuracy and Reduced Errors:

Manual data entry and filling often leads and thrives towards mistakes as they can affect the ongoing business operations. With data capturing technology, information is extracted using tools such as OCR (Optical Character Recognition) and with the assistance of AI, ensuring a level of higher accuracy is maintained. At the same time, fewer errors means better outcomes and more reliable reports that have been generated.

Streamlined Business Operations:

By automating data collection, businesses can save time and resources. While the staff and operating users no longer have the need to spend hours by entering data by hand or their own, allowing them to have a keen look on more valuable tasks and selective concerns. This heads and drives toward enhanced productivity and smoother workflows and operations.

Enhanced Customer Service:

Quick and precise data collection assures that the customer records, queries, and transactions are handled efficiently and effectively with this technique adaption. This leads towards faster service delivery, fewer complaints, and a better overall customer experience—key factors in staying competitive.

Better Decision-Making:

Accurate and well-organized data gives leaders a clearer view of their business performance. With real-time insights from data capture, they can make informed and clear decisions by identifying the current trends, and respond to market changes with confidence with a complete detailed report.

Scalable for Growing Businesses:

As a business grows, managing large volumes of data becomes more difficult. Data capture services scale and grow with your company, handling increasing amounts and multiple sets of information without sacrificing the speed or accuracy. Many businesses trust experts like Suma Soft, IBM, Cyntexa, and Cignex for efficient data capture solutions. These providers offer tailored services that boost data accuracy, ensure fast turnaround, and support long-term digital transformation.

[voiceapisolutions]

Voice Authentication and Compliance: Meeting KYC, GDPR, and HIPAA Standards

Voice authentication is transforming the way businesses verify identity for their consumer base. It’s fast, secure, and convenient. But for businesses in regulated industries, voice technology must also comply with global privacy laws.

Why Voice Authentication Needs Compliance

Voice is biometric data. Like a fingerprint, it’s unique to each user. That makes it powerful but also sensitive. Businesses using voice authentication must ensure that it complies with standards like KYC, GDPR, and HIPAA.

Failing to meet these requirements can result in legal issues. It can also erode customer trust. That’s why compliance isn’t optional. It’s essential for secure and ethical use.

KYC: Know Your Customer Regulations

KYC is vital for banks, fintech firms, and financial services. It helps prevent fraud, money laundering, and identity theft. Voice authentication helps verify users in real time. It confirms their identity with speed and accuracy.

But voice data must be stored securely. Businesses must ensure encryption and limited access. Only authorized personnel should handle this data. Consent must also be collected before using voice for KYC.

GDPR: Protecting Data Privacy in the EU

GDPR governs how personal data is handled in the European Union. Voiceprints fall under “biometric data,” a special category of personal information. Businesses must get explicit user consent before collecting voice data.

They must also explain how the data will be used. Users should be allowed to withdraw consent anytime. Under GDPR, companies must also ensure data is deleted when no longer needed.

HIPAA: Safeguarding Health Information in the US

In the healthcare industry, HIPAA protects patient information, including voice recordings. If voice authentication is used to access health data, it must follow HIPAA rules.

This means ensuring voice data is encrypted and audit logs are maintained. Staff must be trained in how to handle and protect this information. Failing to do so can lead to costly penalties.

Best Practices for Voice Authentication Compliance

Always obtain explicit consent from users

Use strong encryption for storing voiceprints

Limit access to voice data within the organization

Keep audit logs of authentication events

Comply with data retention and deletion policies

The Bottom Line

Voice authentication boosts security and improves user experience. However, if this process does not comply with the privacy laws, it poses major risks. By aligning voice authentication with KYC, GDPR, and HIPAA, it ensures legal safety for the business and builds user trust. Businesses that prioritize privacy stand to win in the long run.

[panashifzco]

The Strategic Role of Check-in Kiosks in Military Airport Terminals

Military airport terminals operate under heightened security and efficiency demands compared to their commercial counterparts. These facilities not only handle routine transport of service members but also play crucial roles in logistics, emergency deployments, and diplomatic missions. In such high-stakes environments, even minor inefficiencies or security lapses can have significant consequences.

To meet these challenges, many military terminals are turning to check-in kiosk technology—automated, self-service systems that streamline passenger processing and improve terminal security. These kiosks, equipped with advanced features such as biometric scanning, real-time data synchronization, and user-friendly interfaces, are reshaping the operational landscape of military air travel. In this blog, we explore how kiosk technology enhances security, boosts efficiency, improves user experience, and supports long-term cost-effectiveness and emergency readiness in military airport terminals.

Enhancing Security Protocols with Check-in Kiosks

Security is paramount in military environments, and check-in kiosks significantly contribute to strengthening existing protocols. These kiosks do more than expedite the check-in process—they integrate seamlessly with military-grade security systems to ensure rigorous identity verification and real-time data updates.

Biometric Integration for Identity Verification

One of the standout features of military check-in kiosks is biometric integration. Fingerprint scans, iris recognition, and facial recognition ensure that only authorized personnel gain access to secured areas. These systems eliminate the risks associated with lost or forged ID cards and allow for multi-factor authentication, which is critical in sensitive operations.

Biometric data is instantly matched against military personnel databases and watchlists, providing a higher level of accuracy and preventing unauthorized access. The process is not only secure but also faster and less intrusive than traditional methods, offering a seamless experience for users.

Real-Time Data Synchronization with Security Networks

Check-in kiosks in military terminals are linked to centralized security networks, allowing for real-time synchronization of data. When a service member checks in, their identity, assignment, and travel itinerary are cross-verified with military systems to detect inconsistencies or threats.

This instant communication enhances threat detection and tracking capabilities, allowing security personnel to respond swiftly to anomalies. Furthermore, in the event of a security breach, kiosks provide critical logs and timestamps to aid investigation and resolution.

Increasing Operational Efficiency in Terminal Management

Military terminals operate around tight schedules and high throughput. By automating check-in procedures, kiosks alleviate common bottlenecks and enhance operational efficiency.

Automated Boarding Pass and ID Issuance

Traditional check-in desks involve manual data entry and document verification, which can slow down the boarding process. In contrast, automated kiosks issue boarding passes and temporary access credentials within seconds, drastically reducing processing time.

Kiosks can print, scan, and digitally store documentation, minimizing the likelihood of human error. This not only improves accuracy but also enhances compliance with standardized military travel protocols.

Reduced Staff Workload and Resource Allocation

By handling repetitive check-in tasks, kiosks free up human resources for more critical responsibilities. Personnel previously tied to desk duties can be reassigned to areas such as tactical operations, logistics support, or passenger assistance.

This optimized resource allocation ensures that the terminal functions more smoothly, even during peak hours or large-scale deployments. It also reduces the risk of operational delays, contributing to overall mission readiness.

Improving User Experience for Military Personnel and Visitors

Ease of use is crucial in high-pressure environments. Military check-in kiosks are designed with user-centric interfaces, ensuring accessibility for all users, including service members, dependents, and visitors.

Multilingual Support and Accessibility Features

Military airports cater to diverse users from various linguistic and cultural backgrounds. Kiosks equipped with multilingual options ensure that language barriers do not impede check-in or access.

Moreover, features such as voice commands, screen magnification, and wheelchair-accessible interfaces make these kiosks usable for individuals with disabilities. This commitment to inclusivity aligns with military values and enhances the overall user experience.

24/7 Availability and Minimizing Congestion

Unlike staffed check-in counters, kiosks offer uninterrupted service around the clock. This is especially beneficial in military operations where flights and deployments can occur at odd hours or on short notice.

By distributing the check-in load across multiple kiosks, these systems minimize terminal congestion, allowing for smoother passenger flow and reduced wait times. This is particularly valuable during mobilizations, drills, or emergency evacuations.

Cost-Effectiveness and Long-Term Savings

Implementing kiosk systems in military terminals requires upfront investment, but the long-term financial benefits make a compelling case for adoption.

Reduction in Manual Processing Costs

Kiosks reduce the need for manual data entry, paper forms, and physical staffing, all of which incur recurring costs. Digital processes streamline administrative workflows and lower the chances of clerical errors, which can be costly and time-consuming to fix.

In addition, kiosks help reduce the environmental footprint of military operations by minimizing paper use—a growing priority in defense logistics.

Scalability to Meet Future Demands

Modern kiosk systems are built with modular and scalable designs, allowing for future upgrades without major overhauls. As military travel protocols evolve, new software features or hardware modules (e.g., upgraded biometric sensors or contactless payment capabilities) can be easily integrated.

This future-proofing makes kiosk systems a strategic investment, capable of adapting to shifting operational needs and technological advancements.

Supporting Emergency and Contingency Operations

Military terminals must remain operational under all circumstances, including crises. Kiosks offer resilience and flexibility during emergencies, supporting both evacuation and redeployment efforts.

Rapid Reconfiguration for Emergency Protocols

In the event of a crisis—whether it’s a natural disaster, base lockdown, or global conflict—check-in kiosks can be rapidly reprogrammed to follow new protocols. For example, they can be configured to prioritize certain personnel categories, enable emergency passes, or facilitate health screenings during pandemics.

This capability allows terminals to maintain order and operational continuity, even in high-stress environments.

Reliable Communication Channels for Critical Updates

During emergencies, timely and accurate communication is essential. Kiosks can function as broadcast hubs, displaying critical alerts, evacuation routes, or mission updates directly on the screen.

Some systems can also send automated SMS or email updates to personnel, ensuring that everyone receives the necessary information regardless of their physical location within the terminal. This functionality is invaluable during fast-moving operations where traditional communication lines may be overloaded or unavailable.

Conclusion

Check-in kiosks are no longer just a convenience feature—they are a strategic asset in military airport terminals. From strengthening security with biometric authentication and real-time data sync, to improving operational efficiency and delivering a seamless user experience, kiosks represent a significant leap forward in military logistics technology.

They not only reduce costs and optimize personnel usage, but also enhance readiness and resilience during emergencies. With scalable architectures and support for the latest security features, kiosk systems are well-positioned to meet the future demands of military air transport.

For defense organizations aiming to modernize their infrastructure and improve mission efficiency, adopting kiosk technology is not just an option—it’s a mission-critical necessity.

[creatureofmimics]

BREAKING NEWS: Revolutionary AI Scheduling Model Disrupts Multi-Billion Dollar Industries

IndustriesMay 14, 2025 – In a groundbreaking development set to redefine time management across education, fitness, and the arts, researchers from the Zurich Institute of Technology (ZIT) have unveiled an artificial intelligence model capable of autonomously optimizing human schedules with an accuracy rate exceeding 98.7%.Dubbed "ChronoPilot," the new system leverages deep contextual learning to interpret not only user preferences but also emotional states, productivity trends, and even regional weather forecasts to dynamically tailor personal and group schedules. In early trials, the system outperformed existing scheduling platforms by over 400% in efficiency and conflict resolution.The implications span vast sectors. Educational institutions using class scheduling software like Lunacal’s platform for class bookings have already reported dramatic improvements in attendance and engagement. In the fitness industry, where applications such as gym booking software are crucial, ChronoPilot’s integration led to a 37% rise in client retention during a 90-day pilot. Music academies leveraging music lesson scheduling tools observed a 52% reduction in missed appointments.ZIT’s Secret Weapon: Sentient Sync ProtocolWhat truly sets ChronoPilot apart is its proprietary Sentient Sync Protocol (SSP) — a neural time-mapping engine that mimics human anticipation. SSP doesn’t just block out time; it predicts the best time for each task based on thousands of variables, including circadian rhythms, cognitive load history, and even micro-fluctuations in vocal tone during user interactions.Dr. Lena Marwick, lead AI architect at ZIT, explained, “We’re no longer asking users to fit into rigid schedules. ChronoPilot adapts to them, moment by moment.”Global Trials, Unprecedented ResultsThe AI was tested across 1.2 million scheduling interactions in 11 countries, across five major time zones. In one compelling instance, a public school in Osaka integrated ChronoPilot into its digital classroom system. Within three weeks, student punctuality improved by 48%, and feedback indicated a 63% increase in perceived classroom coherence.Meanwhile, a UK-based national gym chain used ChronoPilot to coordinate personal training sessions across 87 locations. Instructors reported a 41% decrease in downtime, and an average boost of 18% in customer satisfaction scores.ChronoPilot vs. The Old GuardWhile current scheduling tools rely heavily on manual input or rigid templates, ChronoPilot learns from passive inputs — browsing behavior, sleep app data, voice command history — with the user’s consent. This passive data synergy allows it to preemptively adjust schedules without user intervention.Analysts say the AI’s capabilities pose an existential threat to legacy scheduling systems and even to calendar giants like Google Calendar and Microsoft Outlook. “It’s not just a calendar anymore,” says Gideon Lark, senior analyst at MetaMetrics. “It’s a lifestyle orchestrator.”Privacy Concerns and Ethical DebateNot everyone is celebrating. Digital rights watchdogs have raised concerns about the volume and sensitivity of data ChronoPilot processes. The AI can access everything from location logs to biometric signals. While ZIT asserts the system uses end-to-end encryption and offers opt-out data controls, some critics remain wary."We’re trading convenience for surveillance,” warns Aria Salim, director of the Tech Privacy Initiative. “There must be enforceable limits on how such AI models evolve, especially as they begin to predict and possibly influence human behavior.”ZIT has responded by publishing a white paper detailing its privacy protocols and inviting third-party audits. Still, the debate over AI autonomy and human agency continues to intensify.

[mariacallous]

What is the future of the like button in the age of artificial intelligence? Max Levchin—the PayPal cofounder and Affirm CEO—sees a new and hugely valuable role for liking data to train AI to arrive at conclusions more in line with those a human decisionmaker would make.

It’s a well-known quandary in machine learning that a computer presented with a clear reward function will engage in relentless reinforcement learning to improve its performance and maximize that reward—but that this optimization path often leads AI systems to very different outcomes than would result from humans exercising human judgment.

To introduce a corrective force, AI developers frequently use what is called reinforcement learning from human feedback (RLHF). Essentially they are putting a human thumb on the scale as the computer arrives at its model by training it on data reflecting real people’s actual preferences. But where does that human preference data come from, and how much of it is needed for the input to be valid? So far, this has been the problem with RLHF: It’s a costly method if it requires hiring human supervisors and annotators to enter feedback.

And this is the problem that Levchin thinks could be solved by the like button. He views the accumulated resource that today sits in Facebook’s hands as a godsend to any developer wanting to train an intelligent agent on human preference data. And how big a deal is that? “I would argue that one of the most valuable things Facebook owns is that mountain of liking data,” Levchin told us. Indeed, at this inflection point in the development of artificial intelligence, having access to “what content is liked by humans, to use for training of AI models, is probably one of the singularly most valuable things on the internet.”

While Levchin envisions AI learning from human preferences through the like button, AI is already changing the way these preferences are shaped in the first place. In fact, social media platforms are actively using AI not just to analyze likes, but to predict them—potentially rendering the button itself obsolete.

This was a striking observation for us because, as we talked to most people, the predictions mostly came from another angle, describing not how the like button would affect the performance of AI but how AI would change the world of the like button. Already, we heard, AI is being applied to improve social media algorithms. Early in 2024, for example, Facebook experimented with using AI to redesign the algorithm that recommends Reels videos to users. Could it come up with a better weighting of variables to predict which video a user would most like to watch next? The result of this early test showed that it could: Applying AI to the task paid off in longer watch times—the performance metric Facebook was hoping to boost.

When we asked YouTube cofounder Steve Chen what the future holds for the like button, he said, “I sometimes wonder whether the like button will be needed when AI is sophisticated enough to tell the algorithm with 100 percent accuracy what you want to watch next based on the viewing and sharing patterns themselves. Up until now, the like button has been the simplest way for content platforms to do that, but the end goal is to make it as easy and accurate as possible with whatever data is available.”

He went on to point out, however, that one reason the like button may always be needed is to handle sharp or temporary changes in viewing needs because of life events or situations. “There are days when I wanna be watching content that’s a little bit more relevant to, say, my kids,” he said. Chen also explained that the like button may have longevity because of its role in attracting advertisers—the other key group alongside the viewers and creators—because the like acts as the simplest possible hinge to connect those three groups. With one tap, a viewer simultaneously conveys appreciation and feedback directly to the content provider and evidence of engagement and preference to the advertiser.

Another major impact of AI will be its increasing use to generate the content itself that is subject to people’s emotional responses. Already, growing amounts of the content—both text and images—being liked by social media users are AI generated. One wonders if the original purpose of the like button—to motivate more users to generate content—will even remain relevant. Would the platforms be just as successful on their own terms if their human users ceased to make the posts at all?

This question, of course, raises the problem of authenticity. During the 2024 Super Bowl halftime show, singer Alicia Keys hit a sour note that was noticed by every attentive listener tuned in to the live event. Yet when the recording of her performance was uploaded to YouTube shortly afterward, that flub had been seamlessly corrected, with no notification that the video had been altered. It’s a minor thing (and good for Keys for doing the performance live in the first place), but the sneaky correction raised eyebrows nonetheless. Ironically, she was singing “If I Ain’t Got You”—and her fans ended up getting something slightly different from her.

If AI can subtly refine entertainment content, it can also be weaponized for more deceptive purposes. The same technology that can fix a musical note can just as easily clone a voice, leading to far more serious consequences.

More chilling is the trend that the US Federal Communications Commission (FCC) and its equivalents elsewhere have recently cracked down on: uses of AI to “clone” an individual’s voice and effectively put words in their mouth. It sounds like them speaking, but it may not be them—it could be an impostor trying to trick that person’s grandfather into paying a ransom or trying to conduct a financial transaction in their name. In January 2024, after an incident of robocalls spoofing President Joe Biden’s voice, the FCC issued clear guidance that such impersonation is illegal under the provisions of the Telephone Consumer Protection Act, and warned consumers to be careful.

“AI-generated voice cloning and images are already sowing confusion by tricking consumers into thinking scams and frauds are legitimate,” said FCC chair Jessica Rosenworcel. “No matter what celebrity or politician you favor, or what your relationship is with your kin when they call for help, it is possible we could all be a target of these faked calls.”

Short of fraudulent pretense like this, an AI-filled future of social media might well be populated by seemingly real people who are purely computer-generated. Such virtual concoctions are infiltrating the community of online influencers and gaining legions of fans on social media platforms. “Aitana Lopez,” for example, regularly posts glimpses of her enviable life as a beautiful Spanish musician and fashionista. When we last checked, her Instagram account was up to 310,000 followers, and she was shilling for hair-care and clothing brands, including Victoria’s Secret, at a cost of some $1,000 per post. But someone else must be spending her hard-earned money, because Aitana doesn’t really need clothes or food or a place to live. She is the programmed creation of an ad agency—one that started out connecting brands with real human influencers but found that the humans were not always so easy to manage.

With AI-driven influencers and bots engaging with each other at unprecedented speed, the very fabric of online engagement may be shifting. If likes are no longer coming from real people, and content is no longer created by them, what does that mean for the future of the like economy?

In a scenario that not only echoes but goes beyond the premise of the 2013 film Her, you can also now buy a subscription that enables you to chat to your heart’s content with an on-screen “girlfriend.” CarynAI is an AI clone of a real-life online influencer, Caryn Marjorie, who had already gained over a million followers on Snapchat when she decided to team up with an AI company and develop a chatbot. Those who would like to engage in one-to-one conversation with the virtual Caryn pay a dollar per minute, and the chatbot’s conversation is generated by OpenAI’s GPT-4 software, as trained on an archive of content Marjorie had previously published on YouTube.

We can imagine a scenario in which a large proportion of likes are not awarded to human-created content—and not granted by actual people, either. We could have a digital world overrun by synthesized creators and consumers interacting at lightning speed with each other. Surely if this comes to pass, even in part, there will be new problems to be solved, relating to our needs to know who really is who (or what), and when a seemingly popular post is really worth checking out.

Do we want a future in which our true likes (and everyone else’s) are more transparent and unconcealable? Or do we want to retain (for ourselves but also for others) the ability to dissemble? It seems plausible that we will see new tools developed to provide more transparency and assurance as to whether a like is attached to a real person or just a realistic bot. Different platforms might apply such tools to different degrees.

[govindhtech]

Google Cloud’s BigQuery Autonomous Data To AI Platform

BigQuery automates data analysis, transformation, and insight generation using AI. AI and natural language interaction simplify difficult operations.

The fast-paced world needs data access and a real-time data activation flywheel. Artificial intelligence that integrates directly into the data environment and works with intelligent agents is emerging. These catalysts open doors and enable self-directed, rapid action, which is vital for success. This flywheel uses Google's Data & AI Cloud to activate data in real time. BigQuery has five times more organisations than the two leading cloud providers that just offer data science and data warehousing solutions due to this emphasis.

Examples of top companies:

With BigQuery, Radisson Hotel Group enhanced campaign productivity by 50% and revenue by over 20% by fine-tuning the Gemini model.

By connecting over 170 data sources with BigQuery, Gordon Food Service established a scalable, modern, AI-ready data architecture. This improved real-time response to critical business demands, enabled complete analytics, boosted client usage of their ordering systems, and offered staff rapid insights while cutting costs and boosting market share.

J.B. Hunt is revolutionising logistics for shippers and carriers by integrating Databricks into BigQuery.

General Mills saves over $100 million using BigQuery and Vertex AI to give workers secure access to LLMs for structured and unstructured data searches.

Google Cloud is unveiling many new features with its autonomous data to AI platform powered by BigQuery and Looker, a unified, trustworthy, and conversational BI platform:

New assistive and agentic experiences based on your trusted data and available through BigQuery and Looker will make data scientists, data engineers, analysts, and business users' jobs simpler and faster.

Advanced analytics and data science acceleration: Along with seamless integration with real-time and open-source technologies, BigQuery AI-assisted notebooks improve data science workflows and BigQuery AI Query Engine provides fresh insights.

Autonomous data foundation: BigQuery can collect, manage, and orchestrate any data with its new autonomous features, which include native support for unstructured data processing and open data formats like Iceberg.

Look at each change in detail.

User-specific agents

It believes everyone should have AI. BigQuery and Looker made AI-powered helpful experiences generally available, but Google Cloud now offers specialised agents for all data chores, such as:

Data engineering agents integrated with BigQuery pipelines help create data pipelines, convert and enhance data, discover anomalies, and automate metadata development. These agents provide trustworthy data and replace time-consuming and repetitive tasks, enhancing data team productivity. Data engineers traditionally spend hours cleaning, processing, and confirming data.

The data science agent in Google's Colab notebook enables model development at every step. Scalable training, intelligent model selection, automated feature engineering, and faster iteration are possible. This agent lets data science teams focus on complex methods rather than data and infrastructure.

Looker conversational analytics lets everyone utilise natural language with data. Expanded capabilities provided with DeepMind let all users understand the agent's actions and easily resolve misconceptions by undertaking advanced analysis and explaining its logic. Looker's semantic layer boosts accuracy by two-thirds. The agent understands business language like “revenue” and “segments” and can compute metrics in real time, ensuring trustworthy, accurate, and relevant results. An API for conversational analytics is also being introduced to help developers integrate it into processes and apps.

In the BigQuery autonomous data to AI platform, Google Cloud introduced the BigQuery knowledge engine to power assistive and agentic experiences. It models data associations, suggests business vocabulary words, and creates metadata instantaneously using Gemini's table descriptions, query histories, and schema connections. This knowledge engine grounds AI and agents in business context, enabling semantic search across BigQuery and AI-powered data insights.

All customers may access Gemini-powered agentic and assistive experiences in BigQuery and Looker without add-ons in the existing price model tiers!

Accelerating data science and advanced analytics

BigQuery autonomous data to AI platform is revolutionising data science and analytics by enabling new AI-driven data science experiences and engines to manage complex data and provide real-time analytics.

First, AI improves BigQuery notebooks. It adds intelligent SQL cells to your notebook that can merge data sources, comprehend data context, and make code-writing suggestions. It also uses native exploratory analysis and visualisation capabilities for data exploration and peer collaboration. Data scientists can also schedule analyses and update insights. Google Cloud also lets you construct laptop-driven, dynamic, user-friendly, interactive data apps to share insights across the organisation.

This enhanced notebook experience is complemented by the BigQuery AI query engine for AI-driven analytics. This engine lets data scientists easily manage organised and unstructured data and add real-world context—not simply retrieve it. BigQuery AI co-processes SQL and Gemini, adding runtime verbal comprehension, reasoning skills, and real-world knowledge. Their new engine processes unstructured photographs and matches them to your product catalogue. This engine supports several use cases, including model enhancement, sophisticated segmentation, and new insights.

Additionally, it provides users with the most cloud-optimized open-source environment. Google Cloud for Apache Kafka enables real-time data pipelines for event sourcing, model scoring, communications, and analytics in BigQuery for serverless Apache Spark execution. Customers have almost doubled their serverless Spark use in the last year, and Google Cloud has upgraded this engine to handle data 2.7 times faster.

BigQuery lets data scientists utilise SQL, Spark, or foundation models on Google's serverless and scalable architecture to innovate faster without the challenges of traditional infrastructure.

An independent data foundation throughout data lifetime

An independent data foundation created for modern data complexity supports its advanced analytics engines and specialised agents. BigQuery is transforming the environment by making unstructured data first-class citizens. New platform features, such as orchestration for a variety of data workloads, autonomous and invisible governance, and open formats for flexibility, ensure that your data is always ready for data science or artificial intelligence issues. It does this while giving the best cost and decreasing operational overhead.

For many companies, unstructured data is their biggest untapped potential. Even while structured data provides analytical avenues, unique ideas in text, audio, video, and photographs are often underutilised and discovered in siloed systems. BigQuery instantly tackles this issue by making unstructured data a first-class citizen using multimodal tables (preview), which integrate structured data with rich, complex data types for unified querying and storage.

Google Cloud's expanded BigQuery governance enables data stewards and professionals a single perspective to manage discovery, classification, curation, quality, usage, and sharing, including automatic cataloguing and metadata production, to efficiently manage this large data estate. BigQuery continuous queries use SQL to analyse and act on streaming data regardless of format, ensuring timely insights from all your data streams.

Customers utilise Google's AI models in BigQuery for multimodal analysis 16 times more than last year, driven by advanced support for structured and unstructured multimodal data. BigQuery with Vertex AI are 8–16 times cheaper than independent data warehouse and AI solutions.

Google Cloud maintains open ecology. BigQuery tables for Apache Iceberg combine BigQuery's performance and integrated capabilities with the flexibility of an open data lakehouse to link Iceberg data to SQL, Spark, AI, and third-party engines in an open and interoperable fashion. This service provides adaptive and autonomous table management, high-performance streaming, auto-AI-generated insights, practically infinite serverless scalability, and improved governance. Cloud storage enables fail-safe features and centralised fine-grained access control management in their managed solution.

Finaly, AI platform autonomous data optimises. Scaling resources, managing workloads, and ensuring cost-effectiveness are its competencies. The new BigQuery spend commit unifies spending throughout BigQuery platform and allows flexibility in shifting spend across streaming, governance, data processing engines, and more, making purchase easier.

Start your data and AI adventure with BigQuery data migration. Google Cloud wants to know how you innovate with data.

[downupti]

Boost Shopify Revenue with A/B Testing

Boost your Shopify revenue with A/B testing experiments and data-driven insights to increase conversions and optimize your store.

Source: https://cro.media/insights/ab-tests/boost-shopify-revenue-ab-testing/

A/B testing is a powerful tool to increase your Shopify store's revenue by helping you make data-driven decisions. By running native A/B testing experiments on your Shopify store, you can optimize your customer experience and turn more visitors into paying customers. With easy-to-use features, you can start testing without any hassle.

Effortless Tracking with Instant A/B Testing

With Instant A/B Testing, there's no need for a JavaScript pixel to get started. The visual editor allows you to create and manage tests easily within minutes. This seamless setup ensures that you can test different variations of your Shopify store with zero technical headaches.

Smooth Experiment Operation

Run your A/B tests without worrying about disrupting your users' experience. The app is designed to serve experiments to the right audience and prevents redirects, making sure that your customers experience no interruptions while browsing your store.

Full Control Over Your Tests

Create separate URLs for each test to ensure a flawless and clean testing environment. By running your tests on individual pages, you can isolate variables and measure the success of each experiment with higher accuracy.

Easy Traffic Split

You have complete control over how much traffic goes to each version of your test. Define the percentage of traffic directed to each variant (A and B), allowing you to balance the experiment and gather precise insights.

Precision Insights Across the Funnel

Gain in-depth analytics with a full funnel view of your A/B tests. Track key metrics such as add-to-cart rates, checkout progression, and completed transactions to measure the true impact of your experiments on revenue.

Why Use Instant A/B Testing for Shopify?

Instant A/B Testing offers a 100% free solution to run experiments on your Shopify store, and no credit card is required to get started. This allows you to experiment with various store elements at zero cost while gathering valuable data that can drive better conversions.

Frequently Asked Questions

Do I need to subscribe to any service? No, Instant A/B Testing is completely free, with no subscription required.

How does it integrate with other apps? Instant A/B Testing works well with Instant Page Builder. You can easily create variants of your pages, publish them to your Shopify store, and test which version converts better.

Does A/B Testing affect my SEO? Since experiments run on separate URLs, there’s minimal risk to SEO performance. The app ensures that crawlers do not get redirected and uses Shopify Webpixel for tracking, keeping everything optimized for search engines.

Can I track custom redirects or use existing URLs? Yes, you can use both custom redirects and existing URLs for your A/B tests.

Do I need to enable app embeds? Yes, enabling app embeds is the only step needed to get started with A/B testing.

Start Your A/B Testing Today

Increase your Shopify store's revenue and conversion rates by running native A/B testing experiments. Take advantage of this free Shopify app to optimize your store with precision and ease. For businesses looking to optimize not just their A/B testing but their entire digital presence, consider exploring additional services like Shopify SEO Audit, Shopify CRO Audit, or Custom Shopify Development. These expert services can elevate your online store's performance even further.

If you're looking for more comprehensive solutions for Shopify, Shopify Services offers a range of professional services to boost your store's functionality and success.

[billpunch]

Employee Management System | BillPunch

The smart and effective BillPunch Employee Management System is made to simplify all of your HR and personnel-related tasks. BillPunch streamlines personnel administration, assisting companies in increasing efficiency, accuracy, and saving time by handling everything from payroll processing and attendance tracking to performance monitoring and leave management.

For More Information visit our website - billpunch.com

[spacetimewithstuartgary]

Runaway stars reveal hidden black hole in Milky Way's nearest neighbor

Astronomers have discovered strong evidence for the closest supermassive black hole outside of the Milky Way galaxy. This giant black hole is located in the Large Magellanic Cloud, one of the nearest galactic neighbors to our own.

To make this discovery, researchers traced the paths with ultra-fine precision of 21 stars on the outskirts of the Milky Way. These stars are traveling so fast that they will escape the gravitational clutches of the Milky Way or any nearby galaxy. Astronomers refer to these as "hypervelocity" stars.

Similar to how forensic experts recreate the origin of a bullet based on its trajectory, researchers determined where these hypervelocity stars come from. They found that about half are linked to the supermassive black hole at the center of the Milky Way. However, the other half originated from somewhere else: a previously-unknown giant black hole in the Large Magellanic Cloud (LMC).

"It is astounding to realize that we have another supermassive black hole just down the block, cosmically speaking," said Jesse Han of the Center for Astrophysics | Harvard & Smithsonian (CfA), who led the new study. "Black holes are so stealthy that this one has been practically under our noses this whole time."

The researchers found this secretive black hole by using data from the European Space Agency's Gaia mission, a satellite that has tracked more than a billion stars throughout the Milky Way with unprecedented accuracy. They also used an improved understanding of the LMC's orbit around the Milky Way recently obtained by other researchers.

"We knew that these hypervelocity stars had existed for a while, but Gaia has given us the data we need to figure out where they actually come from," said co-author Kareem El-Badry of Caltech in Pasadena, California. "By combining these data with our new theoretical models for how these stars travel, we made this remarkable discovery."

Hypervelocity stars are created when a double-star system ventures too close to a supermassive black hole. The intense gravitational pull from the black hole rips the two stars apart, capturing one star into a close orbit around it. Meanwhile, the other orphaned star is jettisoned away at speeds exceeding several million miles per hour—and a hypervelocity star is born.

A significant piece of the team's research was a prediction by their theoretical model that a supermassive black hole in the LMC would create a cluster of hypervelocity stars in one corner of the Milky Way because of how the LMC moves around the Milky Way. The stars ejected along the direction of the LMC's motion should receive an extra boost in speed. Indeed, their data revealed the existence of such a cluster.

The team found that the properties of the hypervelocity stars cannot be explained by other mechanisms, such as stars being ejected when their companions undergo a supernova explosion, or stars being ejected by a mechanism like that described above for a double star system, but without a supermassive black hole being involved.

"The only explanation we can come up with for this data is the existence of a monster black hole in our galaxy next door," said co-author Scott Lucchini, also of CfA. "So in our cosmic neighborhood it's not just the Milky Way's supermassive black hole evicting stars from its galaxy."

Using the speeds of the stars and the relative number of ones ejected by the LMC and Milky Way supermassive black holes, the team determined that the mass of the LMC black hole is about 600,000 times the mass of the sun. For comparison, the supermassive black hole in the Milky Way has about 4 million solar masses. Elsewhere in the universe, there are supermassive black holes with billions of times more mass than the sun.

A paper describing these results has been accepted for publication in The Astrophysical Journal. A preliminary version appears on the arXiv preprint server.

IMAGE: Artist’s impression of a hypervelocity star ejected from the Large Magellanic Cloud (shown on right). When a binary star system ventures too close to a supermassive black hole, the intense gravitational forces tear the pair apart. One star is captured into a tight orbit around the black hole, while the other is flung outward at extreme velocities—often exceeding millions of miles per hour—becoming a hypervelocity star. The inset illustration depicts this process: the original binary’s orbital path is shown as interwoven lines, with one star being captured by the black hole (near center of inset) while the other is ejected into space (lower right). Credit: CfA/Melissa Weiss