At first, it’s manageable. Someone answers a few emails. Another person jumps on chat. You keep users happy. But then the user count grows. Issues start stacking up. And your small team begins to fall behind.

Why SaaS Companies Rely on External Teams

As things scale, support gets heavier. You need more hands. You need quicker replies. But hiring takes time. Training takes longer. And the core team already has a lot going on.

That’s why many companies decide to outsource SaaS customer service. It helps them get professional support agents fast. These people are trained to handle pressure. They know how to calm frustrated users. They keep conversations smooth.

This isn’t about replacing your voice. It’s about extending your reach. The user still gets a personal response. Your core team gets to focus on what they do best.

Scaling Without Breaking Anything

Growth is exciting. But it adds stress. Each new user means more questions. More logins. More feature requests. Internal teams can’t always keep up. They break under that pressure.

An external support team gives you flexibility. You can start small. Then scale up during launches. Or scale down during quiet months. There’s no need to rush hiring. You don’t need to worry about training cycles.

This model gives you breathing room. Your team won’t feel buried in tickets. Your users won’t wait three days for help.

Focus Brings Results

Your SaaS business depends on product updates. Speed matters. You want to release features fast. You want to fix bugs fast. That can’t happen if your developers are answering customer emails every morning.

External support clears that space. It keeps your product team in their lane. Designers can design. Engineers can code. Founders can think about growth.

With clear roles, things move faster. You stop reacting. You start improving the product. That’s how long-term growth happens.

Friendly and Human Support Still Works

Some people worry about losing that “personal touch.” They think outsourcing makes support cold. That’s only true if the partner is wrong. A good team learns your voice. They read your guidelines.

They respond with kindness. They take time to understand the issue. They don’t rush users off the chat. They actually help. And users can feel that.

This kind of service builds loyalty. It makes people talk. It turns first-time users into long-time fans.

Around-the-Clock Support Keeps You Ahead

Your SaaS product is online 24/7. So are your users. Someone is always logging in. Someone is always asking for help. Time zones don’t care about your office hours.

That’s where an external team becomes a game-changer. Many of them work in shifts. They offer 24/7 coverage. If a problem shows up at 3 AM, someone is already on it.

This creates peace of mind. Your users never feel abandoned. They get answers fast. And your team gets to sleep.

Data From Support Can Fuel Product Growth

Support teams hear everything. They catch every complaint. Every confusing screen. Every bug that shows up again and again. That’s not just noise. That’s useful feedback.

External support teams often track that feedback. They organize it. They send it back to your product team. Now, you don’t have to guess what’s broken. Or what’s missing. The data shows you.

You can turn complaints into upgrades. You can fix what really matters. That tight loop between support and product is pure gold.

Burnout Doesn’t Spread

Handling support can wear people out. You’re dealing with frustration all day. You’re solving the same issues again and again. It gets draining. Fast.

If your internal team handles all of that, burnout is around the corner. People get tired. Mistakes creep in. Morale drops.

With an outsourced team, that weight is shared. The pressure spreads out. The work stays balanced. Your internal team can breathe. They can reset. That makes a huge difference in team health.

External Support Teams Can Boost Your Brand

Support isn’t just about solving problems. It’s part of your brand. Every reply reflects your values. Every interaction shapes your reputation.

Outsourced agents can help you keep that standard high. They follow your scripts. They use your tone. They act like your team. And users notice that consistency.

That strong support experience becomes part of what you offer. People talk about it. They write reviews. They tell others. And that drives organic growth.

Final Thoughts

Support isn’t a back-office task. It’s not just about closing tickets. It’s a core part of your SaaS business. It shapes how users feel. It builds loyalty. It can even create opportunities for growth.

When you outsource SaaS customer service, you make space for your team. You give users better help. You collect real feedback. You improve faster. And you protect your company from burnout and chaos.

External support teams aren’t just a shortcut. They’re a smart strategy. They give your SaaS the backup it needs to grow strong and steady.

The post The role of external support teams in driving SaaS growth appeared first on RoboticsBiz.

Unlike a one-time chatbot response or a static automation script, AI agents represent a growing class of intelligent systems that can break down complex tasks, interact with multiple tools, collaborate with other agents, and iteratively improve their own output. They aren’t just executing commands — they’re reasoning, planning, and adapting in ways that mimic human workflows.

In this article, we’ll explore what AI agents really are, how they differ from traditional AI use, and why they’re critical to the next evolution of software. We’ll also delve into agentic workflows, multi-agent systems, and the practical frameworks that developers and businesses can use today — even with no code.

What Are AI Agents? Separating Hype from Reality

Defining an AI agent may sound simple, but in reality, it’s a fast-evolving field where boundaries are still being explored. At its core, an AI agent is a system that doesn’t just respond to a single prompt — it acts, reflects, and improves over time by interacting with its environment, tools, and other agents.

Beyond One-Shot Prompts

A traditional AI interaction might look like this: “Write an essay about climate change.” The AI responds with a coherent answer, but it’s static — there’s no reflection, iteration, or adjustment based on feedback.

An AI agent, by contrast, approaches the task as a process. It might:

• Start by outlining key points.
• Check for gaps or conduct research using a web tool.
• Draft a version of the essay.
• Critically review and revise it.
• Finalize the output based on internal logic or collaborative feedback.

This circular process — think, do, reflect, refine — is what distinguishes an agentic workflow from traditional one-shot interactions.

The Agentic Ladder: From Prompts to Autonomy

There are levels to this new AI behavior:

• Basic Prompting — A single request yields a single response. No iteration.
• Agentic Workflow — The task is broken into sub-steps, revisited iteratively.
• Autonomous AI Agents — The system independently determines goals, tools, and workflows, improving over time without human guidance.

While we’re not yet at full autonomy across all domains, many AI systems today already function at level two, thanks to breakthroughs in agent design and tool integration.

Four Core Patterns of Agentic Design

To understand how AI agents function, it’s helpful to look at four widely accepted agentic patterns:

1. Reflection

Reflection is when an AI reviews and critiques its own output. For example, after writing code, it can be instructed — or prompted by another AI — to check for logic errors, inefficiencies, or style issues. This creates a feedback loop, enabling improvement.

2. Tool Use

Agents equipped with tools can perform tasks that go beyond language. For instance:

• Search the internet for real-time information.
• Use a calculator or code interpreter.
• Access email and calendars to schedule events.
• Perform image generation or recognition.

By integrating tool use, AI agents become far more capable than static chat interfaces.

3. Planning and Reasoning

Planning agents can break a high-level task into smaller sub-goals and determine which tools to use at each stage. For example, generating an image based on pose recognition from a reference file involves multiple steps — each potentially executed by different models or tools.

4. Multi-Agent Collaboration

Inspired by human teams, multi-agent systems distribute tasks across specialized agents. Rather than one model doing everything, different agents handle writing, editing, researching, coding, or decision-making. Collaboration and role specialization lead to more accurate, efficient, and modular workflows.

Multi-Agent Architectures: Building Smarter AI Teams

A single agent can be powerful, but a group of agents working together — like a well-organized team — unlocks new levels of performance. Based on insights from Crew AI and DeepLearning.AI, we now have several design patterns that underpin these collaborative systems:

Sequential Workflow

Agents pass tasks down a pipeline, like an assembly line. One extracts text, the next summarizes it, another pulls action items, and the final one stores the data. This is common in document processing and structured automation.

Hierarchical Agent Systems

Here, a manager agent assigns tasks to subordinate agents based on their specialties. For example, in business analytics, one sub-agent may track market trends, another customer sentiment, and another product metrics — all reporting to a decision-making agent.

Hybrid Models

In complex domains like autonomous vehicles or robotics, agents operate both hierarchically and in parallel. A high-level planner oversees route optimization, while sub-agents continuously monitor sensors, traffic, and road conditions, feeding updates in real time.

Parallel Systems

Agents independently process separate workstreams simultaneously. This is especially useful for data analysis, where large datasets are chunked and processed in parallel before merging results.

Asynchronous Systems

Agents execute tasks at different times and react to specific triggers. This is ideal for real-time systems like cybersecurity threat detection, where various agents monitor different aspects of a network and respond independently to anomalies.

No-Code Agent Development: Building an AI Assistant with N8N

The power of agents isn’t limited to expert coders. Platforms like n8n enable anyone to build multi-agent systems using drag-and-drop workflows. For example:

• An AI assistant on Telegram named InkyBot listens to your voice or text.
• It converts voice to text using OpenAI’s transcription.
• It interprets your message, checks your Google Calendar, and helps prioritize tasks.
• It then schedules new events, updates you, and continues the conversation — all without code.

This workflow mirrors the T-A-M-T model (Task, Answer, Model, Tools):

• Task: Prioritize tasks for the day.
• Answer: A to-do list and scheduled calendar events.
• Model: GPT-4 (or any compatible LLM).
• Tools: Calendar APIs, transcription services, messaging platforms.

As simple as this example is, adding more agents or tools can result in highly advanced personal assistants, customer service bots, or research analysts — all built without writing a single line of code.

Opportunities: Why AI Agents Are the Next SaaS Boom

One of the most compelling takeaways from AI agent development is this: for every traditional SaaS product, there’s now the opportunity to build its AI-agent-powered counterpart.

Instead of a project management platform, you can build a task delegation agent that manages human and AI workflows. Instead of a customer service dashboard, you can create an agent that triages, replies to, and escalates tickets. Think of verticalized AI agents for:

• Travel planning
• Content marketing
• Investment analysis
• Health tracking
• Legal document review

If you want to build something useful with AI, simply identify a SaaS product and envision how it could be transformed into an autonomous, intelligent agent-based workflow.

Challenges and Considerations

While AI agents are powerful, they also introduce new complexities:

• Error propagation: Mistakes made early in a workflow can cascade.
• Debugging: Multi-agent systems are harder to troubleshoot than single-model tools.
• Interpretability: With autonomous decision-making, it can be difficult to understand why an agent made a choice.
• Security: Agents accessing tools (like email or calendars) must be tightly governed to avoid misuse.

Still, with robust design, transparency, and human-in-the-loop supervision, these concerns can be addressed effectively.

Conclusion: Welcome to the Age of AI Agents

We’re entering a new era in artificial intelligence — one where machines don’t just respond to requests, but independently break down tasks, collaborate, and adapt. AI agents offer a compelling bridge between static automation and general AI. They empower us to build systems that can reason, plan, reflect, and even work in teams.

Whether you’re a solo entrepreneur, a researcher, a developer, or just an AI enthusiast, this is the moment to explore what agents can do. With the right tools and mindset, you can build intelligent systems that automate the unthinkable and unlock a new dimension of productivity.

And best of all — you don’t need to code to get started.

The post AI agents explained: Creating autonomous workflows without writing code appeared first on RoboticsBiz.

If you don’t negotiate well during salary discussions, you risk being underpaid, which can have long-term consequences on your financial growth and career trajectory. Accepting a lower salary than you deserve may lead to dissatisfaction, reduced motivation, and difficulty meeting personal or family financial goals.

Moreover, your future increments and opportunities could be impacted since many companies base raises and benefits on your current pay. Poor negotiation can also signal to employers that you lack confidence in your skills or an understanding of your market value, potentially limiting your leverage in future discussions.

Let’s explore how you can confidently approach salary negotiations and maximize your potential earnings.

1. Understand the Budget Behind the Scenes

Every job role comes with an allocated budget. Employers often define salary ranges based on the following:

• The number of open positions.
• The required experience levels (e.g., 2–5 years, 5–7 years, or 7+ years).
• Current market trends and demand for specific skills.

For example, a company hiring five data scientists might allocate a budget based on varying experience levels, such as junior, mid-level, and senior roles. Understanding that HR works within these constraints helps you position your expectations realistically.

2. Assess Your Market Value

Assessing your market value is a critical step before entering any salary negotiation. It involves researching the average compensation for your role, experience level, and industry standards to understand what you should reasonably expect. Start by exploring salary benchmarking tools, online job boards, and platforms like Glassdoor, PayScale, or LinkedIn Salary Insights. These resources can provide a precise range of what professionals with similar skills and experience earn in your location. Additionally, look into specific industries and companies that align with your expertise to gain insights into their salary trends. Speaking with peers, mentors, or professionals in your network can also help you validate your findings and gain a realistic perspective.

3. Leverage Your Interview Performance

Your interview performance is among the most potent tools you can leverage during salary negotiations. A stellar interview where you confidently demonstrate your skills, expertise, and value to the company significantly strengthens your bargaining position. Employers are more likely to accommodate your salary expectations if they view you as a standout candidate who can effectively address their needs. Use the opportunity to highlight your achievements, problem-solving abilities, and unique contributions relevant to the role. If you’ve impressed the interviewer with your knowledge and enthusiasm, you can confidently negotiate a higher salary.

4. Aim High, But Stay Realistic

While HR often starts with a conservative offer, understand that you can negotiate for more. For instance, if they offer a 40% hike, you can push for a 60–80% increase if:

• You have in-demand skills.
• The company has a history of generous pay packages.
• Your performance in the interview was outstanding.

Always express your expectations professionally and confidently. If you’re making a significant career transition, don’t hesitate to ask for a higher raise—100% or more may not be unrealistic.

5. Understand the “Confidence Interval” in Offers

Understanding the “confidence interval” in job offers is crucial when navigating salary negotiations. The confidence interval refers to the range within which an employer is willing to offer a salary based on budget, role requirements, and candidate experience. For example, suppose the salary range for a position is ₹6–9 lakhs. In that case, the employer may initially offer ₹7.5 lakhs but still have the flexibility to stretch within the range if they find the candidate exceptionally qualified. This range provides a buffer, allowing employers to remain competitive while managing their budget constraints.

6. Timing is Key

Timing is pivotal in salary negotiations and can significantly impact the outcome. The most strategic time to discuss compensation is after you’ve successfully cleared the interview and demonstrated your value to the employer. At this point, you have positioned yourself as the ideal candidate, and the company is more inclined to meet your expectations to secure your acceptance. Initiating salary discussions too early—such as during the initial interview stages—can come across as premature and might shift focus away from your skills and qualifications.

Additionally, be mindful of the context during negotiations. For instance, if the company operates under tight deadlines to fill the position, you may have more leverage to negotiate a better package. Conversely, if the organization indicates budget constraints or economic challenges, you might need to adjust your expectations slightly. By understanding the employer’s urgency and readiness to close the hiring process, you can time your negotiation effectively, ensuring that your request aligns with their priorities and increases the likelihood of a favorable outcome.

7. Avoid Common Pitfalls

• Don’t undervalue yourself. If you’re confident in your skills and interview performance, don’t settle for less than you deserve.
• Don’t overestimate your leverage. Be realistic about your skills and how well you match the company’s needs.
• Don’t wait until the last minute. Communicate your expectations early in the negotiation process.
• Don’t ignore the entire compensation package. Consider other elements like bonuses, stock options, health benefits, work-life balance, and professional development opportunities.
• Don’t focus only on salary. Be open to negotiating non-monetary benefits, like flexible working hours, remote work options, or additional vacation days.
• Don’t accept the first offer without evaluating it. Assess whether the offer truly aligns with your career goals and financial expectations.
• Don’t get too attached to a single number. Negotiating can be a process, and flexibility can lead to a more satisfying agreement for both sides.

8. Be Prepared to Justify Your Expectations

Preparing to justify your salary expectations is key to successful negotiations. Employers expect candidates to state what they want and explain why they deserve it. To do this effectively, you should come armed with clear examples. Mention:

• Your previous achievements.
• Market trends for your role.
• How your expertise aligns with the company’s goals.

This data-driven approach makes your request compelling and credible.

Final Thoughts

Negotiating your salary is not just about getting paid more—it’s about valuing your skills and establishing your professional worth. Be confident, well-informed, and respectful throughout the process. Remember, companies appreciate candidates who know their value and communicate it effectively. Your career is in your hands, and mastering salary negotiation is vital to success.

The post How to negotiate salaries with HR for any job – A guide appeared first on RoboticsBiz.

The rapid adoption and media coverage of ChatGPT sparked both excitement and anxiety as people grappled with the implications of AI streamlining tasks traditionally performed by humans. While the efficiency and profitability AI brings to companies are undeniable, there are valid concerns about its impact on employment.

Fear of Artificial Intelligence (AI) and robots automating many jobs has grown as technological change accelerates. Some studies predict that in the next 20 years, 40-50 percent of U.S. jobs could be automated, prompting concerns about forced early retirement. According to an Oxford study: “47 percent of U.S. workers are highly likely to see their jobs automated over the next 20 years.”

Historically, technological advancements have led to job displacement but also the creation of new jobs, maintaining overall high employment. This time, however, feels different because real wage growth has stagnated for many, failing to improve living standards. Increased productivity through automation and globalization has seen the share of GDP in labor decrease. In contrast, the share in capital has risen, making it more beneficial to be an investor than a worker unless one has specialized skills.

Is this Fear Necessary?

Some experts argue that fears around AI and robotics are overblown, suggesting that while some jobs may be automated, they will be replaced by more interesting and creative roles. They dismiss the fear of the Singularity, a concept popularized by Ray Kurzweil, which predicts rapid advancements in AI leading to a future where machines surpass human intelligence:

• By 2030, the Singularity will occur, and runaway AI will emerge.
• By 2050, a $1,000 computer will have the processing power of all human brains.

While these predictions may seem alarming, the reality is that technologies like self-driving cars will likely take longer to fully integrate into society. The jobs most at risk are often mundane and repetitive, paving the way for more fulfilling work.

The Historical Context of Job Displacement

During an event showcasing the Mitra robot, a doctor expressed concerns that robots were killing jobs for receptionists and security personnel. The response highlighted a broader historical perspective: technological progress has always led to job displacement, starting with the medical profession. Modern medicine has eradicated diseases and marginalized shamans and traditional healers. Similarly, the agricultural revolution, which began around 12,000 years ago, drastically transformed human labor. Before agriculture, humanity’s primary job was hunting and foraging. The advent of farming allowed a single farmer to produce more food than many hunters, leading to the rise of civilization and a plethora of new professions such as pottery, painting, urban planning, and medicine.

The Industrial Revolution followed a similar pattern. Innovations like steam power and locomotion displaced many traditional jobs, created new opportunities, and improved living standards. People who once feared the displacement caused by computing in the 1970s could not have predicted the new industries and job roles that emerged over the next four decades.

AI’s Impact on Industry

AI innovations, including the retirement sector, are reshaping industries at an unprecedented pace. Third-party administrators (TPAs) are beginning to leverage AI to enhance efficiency in ways previously unimaginable. For example, tasks that were once automated through basic programming—such as generating quarterly statements—are now becoming more sophisticated with AI’s ability to interpret and process data without human intervention.

Increased automation and accuracy are significant benefits of AI. Traditional automation required human engineers to program specific tasks, which the machines would execute. AI, however, eliminates the need for detailed human instructions by understanding and interpreting data autonomously. This shift leads to nearly 100% accuracy, a notable improvement over human error rates.

Working in Tandem: AI and Humans

Despite AI’s capabilities, human involvement remains essential in many processes. AI serves as a productivity enhancer, not a replacement for professionals in the retirement business. While AI excels at tasks involving memorization and data processing, humans are better at making nuanced decisions and providing emotional context—critical aspects of client interactions.

AI can significantly enhance client communication. For instance, an AI program can recall previous interactions with a client, providing relevant information to make conversations more meaningful and efficient. This capability reduces call preparation time, allowing professionals to focus on building relationships and addressing client needs more effectively.

Democratizing Innovation

The scale of AI implementation is a crucial factor in its adoption. Larger firms with extensive resources have traditionally been able to invest in advanced automation technologies, creating efficiencies and reducing costs. However, smaller TPAs often struggle with the capital expenditure required for such upgrades.

Companies like Microsoft are democratizing AI by integrating it into widely used platforms like Microsoft 365. Features such as AI-powered Copilot make advanced AI tools accessible to smaller firms, enabling them to compete on a more level playing field. At PensionPro, partnerships with experts and ongoing research into AI developments are helping deliver cutting-edge automation solutions to early adopters in the retirement industry.

Embracing AI’s Potential

The hype surrounding AI is mostly warranted, but the accompanying doom and gloom can be overstated. AI solutions are poised to make retirement more efficient and cost-effective, yet human expertise will remain vital in planning and execution. Innovations in AI are not about replacing jobs but enhancing their ability to perform, freeing professionals to focus on higher-value activities and improving overall job satisfaction.

Addressing Common Fears and Embracing the Future

Concerns about AI often stem from dystopian narratives in movies like “The Matrix” and “Terminator.” However, these fears are no more justified than any other technology. Useful technologies inherently come with risks, but they are indispensable to progress.

Robotics has the potential to address numerous real-world problems, from enhancing safety in hazardous environments to improving the quality of life for the elderly and aiding in rescue operations. These applications illustrate the transformative potential of robotics, which, like past technological advancements, can lead to significant societal benefits.

The Future of AI and Robotics

AI and robotics should be viewed as the latest stage in this ongoing evolution. Robots are no different from any other machine—they destroy no more jobs than washing machines or music players did. Even in the worst-case scenario of a general-purpose AI capable of performing all human tasks, the impact would be akin to the agricultural revolution, opening up new fields of human endeavor.

Instead of eliminating human interaction, AI and robotics can enhance it. For example, in video games, bots often outperform humans, which does not deter human players. Similarly, AI could free people to engage in more creative and fulfilling activities, spending more time with loved ones and exploring new interests.

In conclusion, AI and robotics represent the next stage in a long history of technological evolution that has consistently led to challenges and opportunities. By embracing these innovations, we can work towards a future where technology serves humanity in unprecedented ways, enhancing our capabilities and improving our quality of life.

The post Will robots and AI force you into retirement? appeared first on RoboticsBiz.

Cooking robots hold the potential to transform the way we prepare and consume food, offering exciting possibilities for both home cooks and the food service industry. In this article, we present the top 10 cooking robots.

1. Moley Robotic Kitchen

This is a high-end robotic kitchen system featuring two robotic arms that mimic the movements of a human chef. It can download recipes and precisely execute them, including chopping vegetables, searing meat, and stirring ingredients. Think of it as having a master chef on call, but robotic! Moley even allows customization by letting you download signature dishes from renowned chefs. While super luxurious, these currently come with a hefty price tag.

2. Flippy 2 by Miso Robotics

Designed for the fast-food industry, Flippy 2 is a fry cook on steroids. This robot automates the process of flipping burgers and fries, ensuring consistent results and freeing up human staff for other tasks. Flippy 2 can learn and adapt to different menu items, making it a valuable asset in busy kitchens.

3. Picnic’s Pizza Robot

Craving pizza? This robot can handle it! Designed for high-volume pizza restaurants, Picnic’s creation can assemble pizzas from scratch. It can stretch dough, spread sauce, and add toppings with robotic precision. This allows for faster service and reduces human error in topping distribution.

4. Spyce Infinite Kitchen

This is a fully automated restaurant concept that uses robots to prepare and cook healthy meals. Customers can choose their meals from a touchscreen kiosk and have them prepared by the robotic chefs in minutes. Spyce Infinite Kitchen offers a glimpse into the future of fast food, where speed and healthy options can coexist.

5. Makr Shakr Bartender Robot

Looking for a perfectly mixed cocktail? Look no further than Makr Shakr. This robot bartender can create various cocktails, from classics like margaritas to more intricate drinks. It uses pre-measured ingredients and precise mixing techniques to ensure consistent and delicious drinks every time. This can be a game-changer for busy bars and restaurants.

6. Samsung Bot Chef

While still a concept, Samsung’s Bot Chef offers a peek into the potential future of smart kitchens. This robot assistant can help with various tasks, from meal planning and grocery shopping to recipe selection and even some cooking assistance. Imagine a robot that suggests recipes based on your dietary needs and preferences, then helps you create a grocery list and even chops vegetables!

7. CookingPal Julia

This multifunctional kitchen appliance is a dream for home cooks who love versatility. Julia can chop, blend, cook, and even steam food. It also boasts a built-in scale and a recipe library, allowing you to follow recipes with ease and reduce prep time.

8. Chowbotics Sally

Here’s a robot that caters to your salad desires. Sally is designed to create custom salads. Customers can choose their favorite ingredients from a touchscreen interface, and Sally will assemble the salad to their exact specifications. This allows for quick and personalized salad options in restaurants or cafeterias.

9. Café X Robots

Coffee lovers rejoice! These robots are designed to brew coffee to specific customer preferences, ensuring a consistent and high-quality cup every time. They can handle everything from grinding beans to measuring water temperature and extraction time. This is ideal for busy cafes that want to offer a premium coffee experience.

10. Mechanical Chef

This Indian innovation brings robotic cooking to your home. This robot can prepare a variety of Indian dishes, including rice, curries, and stir-fries. It takes care of the entire process, from measuring ingredients to cooking, freeing you up for other tasks. While details are still emerging, this robot has the potential to revolutionize home cooking in India and beyond.

The post Top 10 cooking robots [with images] appeared first on RoboticsBiz.

Too bad you’ll have to leave your favorite spot to see what’s up, but the hacks we share today might help restore what’s lost. Contacting customer support for assistance is recommended if you’ve recently switched to a different Internet Service Provider (ISP).

It can be quite a hassle when there’s a language barrier between the customer and the customer service rep. But if you have Optimum, then it won’t be a problem. Optimum makes quick internet solutions accessible to everyone by providing personalized customer service.

If you require instructions or guidance in Spanish, Optimum servicio al cliente en español can help you 24/7. But if you want to DIY your internet problem, here are ten hacks to improve your Wi-Fi signal at home and get back to your online activities in no time:

Table of Contents

1. Reposition the Router
2. Install a Wi-Fi Extender or Repeater
3. Update your Password
4. Reboot
5. Disconnect Extra Devices
6. Replace or Add Router Antennas
7. Switch to another Channel or Frequency

The Ultimate Solution

1. Reposition the Router

The placement of your internet router is fundamental to the strength of the Wi-Fi signal. Avoid placing the router close to metallic objects and electric appliances because they are infamous for causing Wi-Fi dead zones.

Electromagnetic waves interfere with the Wi-Fi signal, so the kitchen is usually the worst place for fitting your router. Routers placed in open, high, and unobstructed spots give the best signal and coverage.

Therefore, if your router is sitting in an enclosed space like a drawer or somewhere in the corner of the ground, move it to an elevated and exposed space. Proximity to the Wi-Fi source will also significantly improve the signal; hence, plug it close to you or relocate it to the room where it is set up/fixed.

2. Install a Wi-Fi Extender or Repeater

Wi-Fi extenders or repeaters are great for expanding Wi-Fi coverage in a big house or living space. You can easily get an extender/ repeater for under a hundred bucks, and it’s best if you purchase it from your ISP.

The Wi-Fi extender amplifies the existing signal from your router, making it available as an additional network to faraway or isolated parts of your home. The extended signal may not be as strong as the original, but it works for most mundane online activities.

We recommend you buy Wi-Fi repeaters of the same brand as your router to avoid compatibility issues. Your Wi-Fi extender will likely come with an instruction manual, but you can always refer to an online resource for help setting it up.

3. Update your Password

Slow or weak Wi-Fi can result from intruders using your bandwidth and data. If your Wi-Fi isn’t password protected, your neighbors probably use it to download all kinds of stuff at your expense. Another possibility is that your password is weak and easy to guess.

If you get a lot of guests and share your Wi-Fi password often, you must change it just as often. Refrain from generic Wi-Fi passwords like “qwerty123” or your phone number; anybody can figure these out and take advantage.

Don’t assume your neighbors won’t use your Wi-Fi because they have their own. Look out for outsiders connected to your network, and change over to a strong password to block them out accordingly.

4. Reboot

The first thing most people suggest to resolve any internet-related issues is to restart the device. This may sound naïve, and you may not expect it to work, but it does occasionally. Rebooting the router is not magic, and it may not necessarily make a difference, but it’s worth a shot.

Most of the time, switching off the router and turning it on again clears its memory and prompts installing updates. As a result, the speed and signal of your Wi-Fi is restored like a miracle. Moreover, rebooting the router may automatically reconnect to the best available channel for minimum interference.

5. Disconnect Extra Devices

Sometimes, you don’t need intruders to occupy all your bandwidth and slow down the Wi-Fi. If you have multiple mobile and smart home devices on the network, they could be using up data in the background. Most home routers can connect ten (sometimes more) devices, so you may have maxed it out. Remove the online devices that are not in use, which shall improve Wi-Fi performance on the remaining gadgets.

6. Replace or Add Router Antennas

The average router has a short antenna, barely enough to transmit Wi-Fi signals around a small home. If your house is spacious or you require internet connectivity on multiple floors, you need a stronger antenna or several of them.

Larger antennae up to 15 inches tall provide more than twice as much coverage. Some routers allow the fixation of multiple antennae that can magnify the Wi-Fi parameter to serve an expansive space.

In addition, the antenna that comes with the router is omnidirectional, i.e., designed to send signals in all directions. If you prefer to receive signals in one specific direction, replace it with a directional one with “high-gain.”

7. Switch to another Channel or Frequency

If too many houses in your neighborhood use the same ISP as you, the sluggish Wi-Fi is most likely caused by too much traffic on the shared Wi-Fi channel. You can log into your ISP user portal and look for the option to switch to a less crowded channel.

Many traditional routers connect to the 2.4 GHz frequency band by default. You may have to look up router settings to switch to a different frequency and get better Wi-Fi reception.

The Ultimate Solution

If all seven hacks have failed you, consider upgrading your router or signing up with a better ISP. Modern routers integrate more advanced technologies that automatically adjust connectivity issues and provide a user-friendly interface.

As a last resort, you can always contact customer service for help and advice. If you’ve already done that and the problem persists, upgrade your internet package or look for a more reliable ISP to make the switch.

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Robots also excel in tasks requiring high precision and accuracy, significantly enhancing the quality of products and services. This aspect holds particular importance in critical industries like pharmaceuticals and electronics manufacturing.

In the long run, robots are often more cost-effective than human workers. They do not require wages, benefits, or vacation pay. Additionally, robots can reduce waste and rework, further saving companies money.

Furthermore, robots excel in performing dangerous tasks unsafe for humans. This capability helps in reducing workplace accidents and injuries. Their ease of reprogramming for different tasks makes them more flexible than human workers. This adaptability benefits companies needing to adjust to changing market conditions or product requirements.

Robots operate 24/7, aiding companies in meeting customer demand and increasing output. Equipped with sensors and data-gathering devices, robots provide valuable insights into operations, enhancing efficiency, quality, and safety. In sectors like tech and healthcare, a significant shortage of skilled labor exists. Robots can bridge this gap and ensure companies have the workforce to produce goods and services.

Examples of Robots Shaping Future Labor Markets

1. Agriculture

Farmers worldwide grapple with the challenges posed by herbicides. ecoRobotix introduces AVO, an autonomous field robot specifically designed for targeted weeding operations in crops, revolutionizing agricultural practices. AVO utilizes machine learning algorithms to accurately identify weeds, boasting an 86% accuracy rate. This precision allows AVO to significantly reduce herbicide usage by over 90%. The robot navigates fields autonomously, identifying and eliminating weeds without harming the crops. By automating weeding operations, AVO ensures environmental safety by reducing herbicide usage and minimizes the need for extensive manual labor during weeding seasons. This innovation optimizes crop growth while minimizing the impact on the environment.

2. Manufacturing

Audi’s adoption of cobots in Belgium’s factory aids its aging workforce. Audi incorporates 550 industrial robots in the body shop and 30 in the paint shop. These cobots collaborate with human workers, handling physically demanding tasks like lifting and positioning heavy metal panels. They assist in assembly and painting processes, working alongside employees. By integrating cobots, Audi accelerates production and ensures the well-being of its aging workforce. Cobots relieve workers from strenuous tasks, reducing physical strain and the risk of injuries. This collaboration enhances overall productivity and maintains high-quality standards.

3. Librarianship

Singapore’s Agency for Science, Technology, and Research introduces AuRoSS, an Autonomous Robotic Shelf Scanner, transforming library management. AuRoSS navigates libraries during off-hours, scanning RFID tags with an impressive 99% accuracy rate. The robot autonomously moves through aisles, swiftly identifying and cataloging misplaced or improperly shelved books using advanced scanning technology. AuRoSS liberates librarians from mundane and time-consuming activities by automating inventory checks and book location tasks. This innovation streamlines library management, allowing librarians to focus on enhancing patron experiences and improving services.

4. Bakeries

The artisanal craft of baking faced scalability challenges at Boulangerie La Fabrique in Quebec. Universal Robots devised a robotic gripper to handle the packaging line, freeing employees from repetitive tasks. The robotic gripper integrates seamlessly into the bakery’s packaging line, handling repetitive tasks related to packaging baked goods. This gripper delicately handles items, ensuring efficient packaging without compromising the bakery’s artisanal quality. The bakery sustains its artisanal craftsmanship by automating the packaging process while enhancing efficiency. Employees are freed from repetitive tasks, allowing them to focus on more creative and specialized aspects of baking. Integrating robotics ensures consistent packaging quality and meets increased demand without compromising the bakery’s distinctiveness.

5. Healthcare

Intuitive Surgical’s da Vinci Surgical System exemplifies the fusion of robotics and surgery. This revolutionary system combines robotic technology with the skills of a trained surgeon, enabling minimally invasive surgeries across various specialties. The da Vinci System comprises a console where the surgeon sits, controlling robotic arms with surgical instruments. These arms precisely mimic the surgeon’s hand movements, offering greater dexterity and control within the patient’s body. The system’s high-definition 3D vision provides a magnified view, allowing for unparalleled precision. Patients undergoing procedures with the da Vinci System experience reduced trauma, smaller incisions, and quicker recovery times compared to traditional surgeries. Surgeons can perform intricate procedures with enhanced precision, leading to better clinical outcomes and reduced complications. Additionally, the system’s capabilities allow for complex surgeries that were previously challenging or impossible.

6. Customer Service Automation

Companies like Amazon and Apple leverage AI-powered chatbots for customer service. These bots provide quick responses, handle routine inquiries, and facilitate smoother customer interactions, improving overall satisfaction. Amazon’s integration of AI-powered chatbots in customer service represents a paradigm shift in user interaction and query resolution. Amazon employs AI-driven chatbots with natural language processing (NLP) capabilities to understand and respond to customer queries. These chatbots use machine learning algorithms to continuously improve their responses and handle routine inquiries efficiently. Customers benefit from quick, accurate responses, 24/7 support, and streamlined query resolution. The AI-driven system provides personalized assistance, learns from interactions, and adapts to varying customer needs, enhancing overall satisfaction.

7. Logistics and Warehouse Automation

Companies like Amazon utilize Kiva Systems (now Amazon Robotics) to epitomize the integration of robotics in warehouse logistics, transforming inventory management and order fulfillment. Autonomous robots navigate warehouse aisles equipped with advanced sensors and AI algorithms. They pick up shelves or goods, delivering them to human workers or other designated areas for packaging and shipment. These robots communicate seamlessly with each other to optimize warehouse operations. The implementation of Amazon Robotics has drastically reduced order processing times, increased accuracy in inventory management, and enabled rapid fulfillment. Human workers can focus on more complex tasks while the robots efficiently handle repetitive and physically demanding aspects of warehouse operations.

Conclusion

The future of work isn’t a singular narrative of displacement or replacement but rather a landscape where automation and robotics seamlessly complement human efforts. Understanding the motivations and aspirations of workers alongside the evolving technological landscape is key to navigating this paradigm shift towards a harmonious and efficient future of work.

The post How will robots change the workforce? appeared first on RoboticsBiz.

Whether you want to download a free screen recorder or purchase a premium one, this guide will explore some top recording tools, their features, and how to screen record with them.

1. OBS Studio

OBS Studio is multifunctional open-source software capable of both video recording and live-streaming. It’s available on Windows, Mac, and Linux, making it one of the most versatile options.

The software provides high-quality recording and streaming with minimal CPU usage. Plus, it includes powerful plugins that give users even more control over their recordings.

Pros:

• Free and open-source
• Supports multiple sources
• Allows for live streaming to platforms like YouTube, Twitch, and others
• Customizable scenes and transitions
• Supports plugins to enhance functionality

Cons:

• The steeper learning curve for beginners
• No editing features

How to screen record using OBS

1. Download and install OBS Studio.
2. Open the software and create a new scene.
3. Add a source to your scene, like “Display Capture” for your entire screen.
4. Configure the settings, such as resolution and frame rate.
5. Click “Start Recording” to begin and “Stop Recording” to end.

2. ScreenFlow

ScreenFlow is a Mac-exclusive screen recorder that offers a range of features for both recording and editing. It’s especially useful for creating tutorials or instructional videos, as it includes a wide selection of transitions, annotations, and other effects to make your videos stand out.

The tool also allows you to record directly from your iOS device, making capturing footage from your iPhone or iPad easy.

Pros:

• High-quality recordings
• Built-in video editing suite
• Supports recording from multiple sources simultaneously
• Allows for animated titles, transitions, and effects

Cons:

• Pricier compared to other options
• Only available on macOS

How to screen record using ScreenFlow

1. Download and install ScreenFlow.
2. Open the software and click on “New Recording”.
3. Choose your recording sources and adjust the settings.
4. Click “Record” to start and stop when done.
5. Edit your video using the provided tools, then export it in your desired format.

3. FlashBack

FlashBack is an easy-to-use recording software that caters to both professionals and beginners. It allows users to capture screen activities, webcam footage, and audio simultaneously.

Its user-friendly interface and rich feature set make it a popular choice for creating instructional videos, software demos, and more. You can also add captions and annotations to highlight important points in your videos, making it easier for viewers to follow along.

Pros:

• Intuitive user interface
• Records multiple monitors
• Built-in video editor
• Supports a wide range of export formats
• Offers a free version with basic recording features

Cons:

• Some advanced features might be overwhelming for beginners.
• Available for Windows only

How to screen record using FlashBack

1. Download and install FlashBack (Express for the free version or Pro for advanced features).
2. Open the software and choose “Record Your Screen”.
3. Configure your recording settings, such as selecting a specific region, selecting audio sources, and setting up webcam recording if needed.
4. Click “Record” to start capturing and “Stop” when done.
5. The recording will be loaded into the FlashBack Player, where you can review it.

4. Descript

Descript is a transcription-based screen recorder that offers both audio and video recording. It allows you to edit your recordings like a text document, making it especially powerful for podcasters, video creators, and other content producers who want a streamlined editing process.

The software also has Overdub, which uses AI to generate speech that sounds like you. This can be useful for creating voiceovers or fixing mistakes in your recordings.

Pros:

• Automatic audio-to-text transcription
• Filler word removal
• Overdub feature for voiceovers
• Team collaboration

Cons:

• Lacks advanced editing features

How to screen record using Descript

1. Download and install Descript.
2. Open the application and click on the “Record” option.
3. Choose between screen recording, audio recording, or both.
4. Once done recording, the content is automatically transcribed.
5. Edit the text of your recording, cutting out or rearranging parts.

5. Capto

Capto is screen capturing and recording software for Mac, designed for creating informative and captivating visuals. It can capture the full screen or just a selected part in 60FPS HD quality.

Beyond screen recording, Capto also offers robust video and audio editing features. You can separately edit audio from your microphone and system, making it easy to balance sound levels in your recordings.

Pros:

• Intuitive user interface suitable for Mac users
• Built-in file organizer to manage your recordings and captures
• Integrated editing tools for basic video and image edits

Cons:

• Only available for Mac users
• Limited customization options

How to screen record using Capto

1. Download and install Capto on your Mac.
2. Open the program and choose the “Record” option.
3. Select the recording area: full screen, area, or window.
4. Configure other settings like audio input and webcam.
5. Start recording and press “Stop” when finished.
6. Utilize the built-in editor for any adjustments.

6. CleanShot X

CleanShot X is a macOS recording tool primarily known for its screenshot capabilities but also offers an impressive array of screen recording features.

The recording software stands out for its clutter-free recording experience, letting you capture content without desktop icons or background apps in the way. Additionally, it allows for annotation and editing right within the app.

Pros:

• “Clean” recording mode
• Quick access overlay
• Easy annotations
• Scrollable capturing feature
• Cloud storage integration

Cons:

• Available only for macOS
• Might miss some advanced screen recording features

How to screen record using Cleanshot X

1. Download and install CleanShot X on your Mac.
2. Access CleanShot X from the menu bar.
3. Choose the screen recording option.
4. Configure settings and press the recording button.
5. When done, access the recorded file from the app’s library for editing or sharing.

Conclusion

The world of screen recording is vast. There are desktop, mobile, and online tools available for content creators, educators, and professionals alike. They allow you to easily capture and share screen activities with others in a visually engaging way.

With the above-mentioned top-screen recording software, you can find the perfect fit for your specific needs and start creating high-quality recordings quickly. So go ahead and give them a try.

The post Recording PC screen activity: What screen recorder to choose appeared first on RoboticsBiz.

This evolving landscape of remote work has brought the critical need for reliable and efficient connectivity to the forefront. Enter SD-WAN, a technology changing how businesses approach network solutions in remote work environments.

Understanding SD-WAN

SD-WAN, or Software-Defined Wide Area Networking, is a technology that leverages software-based controls and automation to simplify the management and operation of a wide area network. Unlike traditional networking, which relies heavily on hardware, SD-WAN empowers organizations to optimize network performance through software-driven solutions.

One of the key advantages of SD-WAN is its ability to enhance network performance. It achieves this by dynamically routing traffic across the most efficient path, thus reducing latency and ensuring a seamless user experience. SD-WAN offers improved security through features like encryption and authentication, making it a robust choice for remote work environments.

Role of SD-WAN in Addressing Remote Work Challenges

The challenges of remote work are multifaceted, and SD-WAN plays a pivotal role in overcoming these hurdles. It addresses bandwidth and latency issues by optimizing traffic flow. This ensures critical applications, such as video conferencing and cloud-based tools, perform at their best, even on less-than-ideal connections. Security concerns are addressed through Zero Trust Network Access (ZTNA) and encryption. With employees accessing corporate networks from various locations and devices, SD-WAN provides a secure environment where identity verification and data protection are paramount.

SD-WAN solutions are highly scalable and adaptable to the needs of a distributed workforce. They seamlessly integrate with cloud services, facilitating access to resources regardless of location. This scalability ensures that businesses can meet the demands of a growing remote workforce.

Future Trends in SD-WAN for Remote Work

The future of remote work is teeming with exciting possibilities, and SD-WAN technology is poised to play a pivotal role in shaping this landscape. Several key trends are emerging in SD-WAN for remote work environments as we look ahead. One prominent trend is the integration of SD-WAN with edge computing.

Edge computing brings data processing closer to the source, reducing latency and improving the performance of applications critical for remote work, such as video conferencing and real-time collaboration tools. This synergy between SD-WAN and edge computing enhances the overall user experience, making remote work feel as seamless as a traditional office.

Another compelling trend is the integration of SD-WAN with 5G networks. With the rollout of 5G, remote workers can access faster and more reliable internet connections, enabling them to work from virtually anywhere with unprecedented speed and efficiency. SD-WAN’s ability to intelligently manage and prioritize traffic aligns perfectly with the dynamic capabilities of 5G networks, ensuring optimal performance for remote work applications.

Artificial intelligence (AI) and machine learning are set to play an increasingly significant role in SD-WAN technology. These technologies will enable SD-WAN solutions to become even smarter and more proactive in identifying and mitigating network issues. Predictive analytics will anticipate network demands, ensuring remote workers experience uninterrupted connectivity and enhanced security.

In the evolving landscape of remote work, SD-WAN continues to adapt and innovate, making it an indispensable asset for businesses striving to excel in a decentralized work environment. These future trends promise to elevate the remote work experience, delivering faster, more secure, and more efficient connectivity for remote workers across the globe.

Real-World Case Studies

Company X, a global tech firm, faced connectivity issues as employees shifted to remote work. They adopted SD-WAN technology, which allowed them to optimize bandwidth, improve security, and gain centralized control over their network.

Company Y, a healthcare provider, needed to ensure the privacy and security of patient data while enabling remote consultations. SD-WAN’s robust security features created a secure virtual environment, ensuring HIPAA compliance and patient confidentiality.

Company Z, a financial institution, had concerns about scalability as they expanded their remote workforce. SD-WAN’s cloud integration and centralized management enabled them to effortlessly accommodate the growing number of remote users while maintaining network performance.

These case studies showcase the tangible benefits of SD-WAN in diverse industries, reinforcing its significance in the remote work landscape.

Final Words

Remote work has reshaped the work environment, necessitating reliable connectivity solutions. SD-WAN, or Software-Defined Wide Area Networking, emerges as a transformative technology, offering software-driven network management that enhances performance and security.

It optimizes traffic routing, reduces latency, and bolsters encryption, addressing the multifaceted challenges of remote work. Future trends in SD-WAN are set to revolutionize remote work further. Integration with edge computing promises to reduce latency and enhance user experiences.

The advent of 5G networks empowers remote workers with unprecedented speed and efficiency, complemented by SD-WAN’s traffic management capabilities. Artificial intelligence and machine learning will elevate SD-WAN’s intelligence, ensuring proactive network issue mitigation.

Real-world case studies underscore the benefits of SD-WAN adoption across industries, showcasing its ability to optimize bandwidth, improve security, and scale alongside a growing remote workforce. As remote work continues to evolve, SD-WAN remains a dynamic solution, empowering businesses to thrive in decentralized work environments.

These future trends will elevate remote work, delivering faster, more secure, and more efficient connectivity for remote workers worldwide.

The post Examine the role of SD-WAN in remote work environments appeared first on RoboticsBiz.

Second, HR professionals are often influenced by their biases and subjective opinions during the hiring process, leading to discrimination and a lack of diversity in the workforce. HR professionals may have a limited pool of candidates, making finding the right fit for the job difficult. Poor communication and lack of coordination among the HR team members can lead to inefficiencies and delays in the hiring process. Hiring can be expensive, particularly when HR professionals rely on external recruiting agencies or job postings on various job boards.

The answer to all these bottlenecks is using AI-powered recruitment tools with artificial intelligence (AI) technology to streamline and automate various aspects of the recruitment process. It involves using AI algorithms to analyze resumes, conducts pre-screening interviews, and evaluate job candidates’ skills and qualifications. AI-powered recruitment can help to save time and reduce bias in the hiring process while also improving the quality of new hires. AI-powered recruitment tools include chatbots for initial candidate screening, predictive analytics to identify the best-fit candidates, and AI-powered candidate assessments to evaluate skills and potential.

AI-powered recruitment uses machine learning algorithms and natural language processing (NLP) to automate various stages of the recruitment process. Here’s how it works:

• Candidate Sourcing: AI algorithms can automatically search vast amounts of candidate data to find suitable candidates based on the job description and other relevant criteria. This can save recruiters significant time and effort compared to traditional candidate sourcing methods.
• Resume Screening: Once candidates are sourced, AI algorithms can scan through resumes and cover letters to identify relevant skills, experience, and education. This can help eliminate unqualified candidates early in the process and quickly identify top candidates.
• Candidate Matching: AI algorithms can compare candidate data against the job requirements to create a suitability score for each candidate. This can help recruiters identify the most qualified candidates and save time and effort during selection.
• Interview Scheduling: AI-powered chatbots can communicate with candidates to schedule interviews and answer basic questions about the job and company. This can reduce the workload of recruiters and ensure that candidates are responded to promptly.
• Candidate Engagement: AI algorithms can automate email communication with candidates, providing regular updates on their application status and answering frequently asked questions. This can help to keep candidates engaged and reduce the recruiter’s workload.
• Onboarding: AI-powered tools can be used to streamline the onboarding process for new hires. This can include providing training materials, setting up HR paperwork, and automating communication between the new hire and the HR team.

Pros of AI-Powered Recruitment

• Time-saving: AI-powered recruitment can quickly analyze large volumes of resumes and applications, significantly reducing the time and effort required for manual screening.
• Improved efficiency: Using AI-powered recruitment tools can improve the efficiency of the recruitment process, ensuring that qualified candidates are identified more quickly.
• Reduction in human bias: AI-powered recruitment tools can help reduce human bias in the recruitment process by focusing on objective criteria, such as skills, qualifications, and experience.
• Enhanced candidate experience: AI-powered recruitment tools can provide a more personalized and responsive candidate experience by automating aspects of the recruitment process, such as interview scheduling and status updates.
• Improved quality of hire: AI-powered recruitment tools can help identify candidates who are more likely to be a good fit for the role and the company culture, leading to a better quality of hire.

Cons of AI-Powered Recruitment

• Lack of human touch: While AI-powered recruitment tools can improve efficiency, they can also remove the human touch from the recruitment process, impacting the candidate experience.
• Risk of perpetuating biases: AI-powered recruitment tools can perpetuate biases if trained on biased data or criteria.
• Limited understanding of context: AI-powered recruitment tools may not understand contextual information or nuances, which can result in misinterpretation of data.
• Cost: AI-powered recruitment tools can be expensive to implement and maintain, which may be a barrier for smaller companies or those with limited budgets.
• Legal and ethical concerns: Using AI-powered recruitment tools may raise legal and ethical concerns, such as data privacy, algorithmic transparency, and potential discrimination.

Examples of AI-powered recruitment tools

• HireVue – uses video interviews and AI to analyze the language, tone, and facial expressions of candidates.
• Textio – analyzes job descriptions to ensure they are gender-neutral and inclusive and provides language suggestions to attract a more diverse pool of candidates.
• Entelo – uses AI to source candidates from various job boards and social media platforms and provides insights into the diversity of the candidate pool.
• Harver – uses AI to create custom assessments based on the job requirements and company culture and provides insights into the candidate’s potential fit within the organization.
• Recruiterbox – uses AI to screen resumes and rank candidates based on their qualifications and experience.
• Mya – uses chatbot technology to communicate with candidates, answer their questions, and schedule interviews.
• Hiretual – uses AI to search for passive candidates and provides insights into their past experiences and job preferences.
• Rezi is an AI-powered resume builder designed to help job seekers create optimized resumes that are tailored to specific job applications.

Organizations must use AI-Powered Recruitment tools to enhance their recruitment process, save time and cost, and improve the quality of hires. These tools can help automate repetitive tasks such as resume screening, candidate matching, and scheduling interviews. They can also provide data-driven insights to help recruiters make more informed decisions and reduce bias in the selection process. Organizations can use AI-powered tools to identify and attract top talent, improve the candidate experience, and ultimately, build a more diverse and inclusive workforce.

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