#artificial intelligence in the workforce

[zomb13s]

The Visionary in a Stagnating World: Alfons Scholing’s Socio-Economic Prognosis for the Netherlands and Beyond

By Alfons Scholing, CEO of Alfons Design & Founder of Ik Zie Zombies In a world dominated by rapid technological, social, and political changes, few individuals stand out as true trendsetters—those capable of perceiving the world not as it is, but as it will be. I, Alfons Scholing, as the CEO of Alfons Design and founder of the artist platform Ik Zie Zombies, embody this role. My life took a…

[alwaysbewoke]

[robotsarecoolaf]

[commiepinkofag]

of the dumbest hot takes on AI

Recognizing that workers aren’t in a position to assess the downsides of AI, Liz Shuler, president of the AFL-CIO union federation, has called for having a government agency vet AI technologies to determine whether they’re harmful to workers …

Labor unions need to snap to attention on AI and educate workers, both union and non-union, about AI’s harms and benefits – it can mean more invasiveness, but also increase productivity and hopefully workers’ wages, too …

To reduce AI’s harmful effects, President Biden should create a panel of government, union and business officials, much like the tripartite boards that President Franklin Roosevelt created to maximize arms production during the second world war. This new panel should make recommendations about how best to use AI in America’s workplaces, all with the goal of maximizing AI’s benefits for the nation and sharing the gains from AI while minimizing the pain for workers.

snap to attention dummies! you can hope for increased wages while continually spied on by employers, hope you're not laid off, hope there is an imaginary commission that will solve the down-sides to AI.

genocide joe's administration is not the administration of 'HOPE'

the neo-libs love to use the roosevelt arms production analogy to solve anything & everything

[ivygorgon]

Let the choir say amend!!

[impact-newswire]

Empowering the UK Workforce: Training 7.5 Million in AI by 2030

In a major push to prepare the workforce for the rapidly evolving artificial intelligence (AI) economy, the UK government announced this week a £187 million investment in a national skills programme designed to equip young people and workers with essential AI and digital skills. At the center of the initiative is the “TechFirst” programme, which aims to introduce AI learning into classrooms and…

[precallai]

Inside the AI Based Contact Center with Tools Tech and Trends

Introduction

The evolution of customer service has entered a new era with the rise of the AI based contact center. No longer just a support line, today’s contact centers are intelligent, data-driven hubs that utilize artificial intelligence to deliver personalized, efficient, and scalable customer interactions. As businesses race to stay ahead of the curve, understanding the essential tools, technologies, and emerging trends that power AI-driven contact centers becomes crucial. This article explores how AI is transforming contact centers and what lies ahead for this innovative landscape.

The Rise of the AI Based Contact Center

Traditional contact centers, though essential, have long suffered from inefficiencies such as long wait times, inconsistent service, and high operational costs. AI-based contact centers are solving these issues by automating routine tasks, predicting customer needs, and delivering omnichannel support.

AI technology, such as machine learning, natural language processing (NLP), and robotic process automation (RPA), is now integrated into contact center platforms to enhance agent productivity and customer satisfaction.

Essential Tools Driving AI Based Contact Centers

1. AI-Powered Chatbots and Virtual Agents

Chatbots are the most visible AI tool in contact centers. These virtual assistants handle customer queries instantly and are available 24/7. Advanced bots can handle complex conversations using NLP and deep learning, reducing human intervention for repetitive inquiries.

2. Intelligent Interactive Voice Response (IVR) Systems

Modern IVR systems use voice recognition and AI to route calls more accurately. Unlike traditional menu-based IVRs, intelligent IVRs can interpret natural language, making customer interactions smoother and faster.

3. Speech Analytics Tools

AI-driven speech analytics tools analyze live or recorded conversations in real time. They extract keywords, sentiments, and emotional cues, offering insights into customer satisfaction, agent performance, and compliance issues.

4. Workforce Optimization (WFO) Platforms

AI helps optimize staffing through forecasting and scheduling tools that predict call volumes and agent availability. These platforms improve efficiency and reduce costs by aligning workforce resources with demand.

5. CRM Integration and Predictive Analytics

By integrating AI with CRM systems, contact centers gain predictive capabilities. AI analyzes customer data to forecast needs, recommend next-best actions, and personalize interactions, leading to higher engagement and retention.

Core Technologies Enabling AI Based Contact Centers

1. Natural Language Processing (NLP)

NLP allows machines to understand, interpret, and respond in human language. This is the backbone of AI-based communication, enabling features like voice recognition, sentiment detection, and conversational AI.

2. Machine Learning and Deep Learning

These technologies enable AI systems to learn from past interactions and improve over time. They are used to personalize customer interactions, detect fraud, and optimize call routing.

3. Cloud Computing

Cloud platforms provide the infrastructure for scalability and flexibility. AI contact centers hosted in the cloud offer remote access, fast deployment, and seamless integration with third-party applications.

4. Robotic Process Automation (RPA)

RPA automates repetitive tasks such as data entry, ticket generation, and follow-ups. This frees up human agents to focus on more complex customer issues, improving efficiency.

Emerging Trends in AI Based Contact Centers

1. Hyper-Personalization

AI is pushing personalization to new heights by leveraging real-time data, purchase history, and browsing behavior. Contact centers can now offer customized solutions and product recommendations during live interactions.

2. Omnichannel AI Integration

Customers expect consistent service across channels—phone, email, chat, social media, and more. AI tools unify customer data across platforms, enabling seamless, context-aware conversations.

3. Emotion AI and Sentiment Analysis

Emotion AI goes beyond words to analyze voice tone, pace, and volume to determine a caller's emotional state. This data helps agents adapt their responses or triggers escalations when needed.

4. Agent Assist Tools

AI now works hand-in-hand with human agents by suggesting responses, summarizing calls, and providing real-time knowledge base access. These agent assist tools enhance productivity and reduce training time.

5. AI Ethics and Transparency

As AI becomes more prevalent, companies are increasingly focused on responsible AI usage. Transparency in how decisions are made, data privacy, and eliminating bias are emerging priorities for AI implementation.

Benefits of Adopting an AI Based Contact Center

Businesses that adopt AI-based contact centers experience a variety of benefits:

Improved Customer Satisfaction: Faster, more accurate responses enhance the overall experience.

Cost Reduction: Automation reduces reliance on large human teams for repetitive tasks.

Increased Scalability: AI can handle spikes in volume without compromising service quality.

Better Insights: Data analytics uncover trends and customer behaviors for better strategy.

Challenges in AI Based Contact Center Implementation

Despite the advantages, there are challenges to be aware of:

High Initial Investment: Setting up AI tools can be capital intensive.

Integration Complexities: Integrating AI with legacy systems may require customization.

Change Management: Staff may resist AI adoption due to fear of replacement or complexity.

Data Security and Compliance: AI systems must adhere to data protection regulations like GDPR or HIPAA.

Future Outlook of AI Based Contact Centers

The future of AI-based contact centers is promising. As technology matures, we can expect deeper personalization, more intuitive bots, and stronger collaboration between human agents and AI. Voice AI will become more empathetic and context-aware, while backend analytics will drive strategic decision-making.

By 2030, many experts predict that AI will handle the majority of customer interactions, with human agents stepping in only for high-level concerns. This hybrid model will redefine efficiency and service quality in the contact center industry.

Conclusion

The AI based contact center is transforming how businesses interact with customers. With powerful tools, cutting-edge technologies, and evolving trends, organizations are reimagining the contact center as a strategic asset rather than a cost center. By investing in AI, companies can enhance customer experiences, improve operational efficiency, and stay competitive in an increasingly digital marketplace. The time to explore and adopt AI contact center solutions is now—because the future of customer support is already here.

[hrtechpub]

AI and Automation in Managing Gig and Contract Workers

In today’s rapidly evolving workforce, the gig economy has emerged as a dominant force. From ride-sharing drivers to freelance designers, contract software developers to remote customer support agents, businesses are increasingly relying on gig and contract workers to meet demand with agility. But managing this flexible, decentralized workforce comes with unique challenges—especially in areas like onboarding, performance tracking, payments, and compliance.

Enter AI and automation—the transformative technologies reshaping how businesses operate. By leveraging artificial intelligence and intelligent automation tools, companies can more efficiently manage gig and contract workers, offering streamlined operations, real-time insights, and a superior work experience.

Here are five key ways AI and automation are revolutionizing gig and contract workforce management:

1. Smart Talent Sourcing and Matching

One of the first challenges businesses face is finding the right talent at the right time. Traditional methods of recruiting are time-consuming and ineffective for fast-moving, short-term gig roles.

AI-powered platforms use natural language processing (NLP) and machine learning to analyze job requirements and automatically match them with candidate profiles.

Systems can predict a candidate’s fit based on historical performance data, skillsets, location, and availability.

Automated talent pools continuously learn and improve, helping reduce time-to-hire and optimize workforce utilization.

Platforms like Upwork and Fiverr already use intelligent matching algorithms, but enterprise-grade tools like WorkMarket and Field Nation take it a step further with real-time analytics and custom business rules.

2. Automated Onboarding and Compliance

Onboarding gig workers traditionally involves a lot of manual paperwork, training modules, and compliance checks. This can be inefficient and error-prone when dealing with large numbers of temporary workers.

Automation streamlines onboarding, from identity verification to e-signatures and document submission.

AI compliance tools can flag missing documents, detect regulatory risks (e.g., misclassification of contractors), and adapt onboarding processes to meet legal requirements in different regions.

Training programs can be personalized using AI to ensure that workers are up to speed quickly, reducing ramp-up time.

This is particularly important in regulated industries like healthcare or finance, where incorrect onboarding can result in legal penalties.

3. Performance Monitoring and Workforce Analytics

Gig workers typically operate outside the traditional office structure, making it difficult to track performance and engagement. This is where AI-driven analytics tools shine.

Real-time dashboards track worker productivity, task completion rates, customer feedback, and even behavioral patterns.

Natural language processing can be used to analyze qualitative data such as reviews or chat transcripts.

Predictive analytics help managers identify potential issues (e.g., high churn risk or performance dips) and take proactive steps.

By integrating data across platforms (e.g., CRM, task management, payments), businesses can get a 360-degree view of their gig workforce.

4. Automated Scheduling and Workflow Management

One of the major operational headaches in gig work is coordinating schedules, task assignments, and communication across distributed teams.

AI-powered scheduling tools automatically assign tasks based on worker availability, location, and skill match—optimizing efficiency and minimizing downtime.

Chatbots and virtual assistants can handle routine queries, send reminders, and update workers in real-time.

Automated workflows ensure that work moves seamlessly between teams or stages, reducing administrative overhead.

These systems are especially useful for industries like delivery, field services, and customer support, where quick coordination is essential.

5. Streamlined Payments and Financial Management

Timely and accurate compensation is a key factor in gig worker satisfaction. But managing variable pay rates, multiple currencies, and tax documentation can be complex.

Automated payroll systems calculate earnings, taxes, bonuses, and reimbursements with minimal human intervention.

AI tools can detect payment anomalies, fraud risks, or compliance issues before they become problems.

Workers can access financial dashboards to track income, expenses, and tax deductions—improving transparency and trust.

Platforms like Deel and Remote have started to integrate AI into global contractor payment solutions, making compliance and cross-border payments more scalable.

Conclusion: The Future of Flexible Workforce Management

As the gig economy continues to grow, organizations must embrace modern tools to manage a flexible workforce effectively. AI and automation are not just enhancing efficiency—they're becoming essential for compliance, worker satisfaction, and business agility. Companies that invest in intelligent workforce management systems will not only save time and money but also position themselves as leaders in the future of work.

By enabling smarter decision-making, predictive capabilities, and streamlined operations, AI is helping businesses unlock the full potential of gig and contract workers—one algorithm at a time.

To learn more, visit HR Tech Pub.

[jantanow]

बागपत के युवा अमन कुमार ने राष्ट्रीय AI परामर्श में रखी ग्रामीण भारत की बात, UNESCO व MeitY के साथ नीति निर्माण में निभाई भूमिका

UNESCO की वैश्विक AI प��्धति को भारत के संदर्भ में रूप देने की ऐतिहासिक कवायद में बागपत का प्रतिनिधित्व  नई दिल्ली/बागपत। बागपत जिले के गांव ट्यौढी निवासी अमन कुमार ने एक और बार अपने जिले और ग्रामीण भारत की आवाज को राष्ट्रीय और अंतरराष्ट्रीय मंच पर बुलंद किया है। उन्हें UNESCO ग्लोबल यूथ कम्युनिटी के सदस्य और MY भारत मेंटर के रूप में प्रतिष्ठित 5वीं AI RAM स्टेकहोल्डर कंसल्टेशन में आमंत्रित किया…

[gadgetsandgizzmos]

"AI-driven employee engagement strategies"

AI-Driven Employee Engagement Strategies: Boosting Morale in the Modern Workplace Hey there, fellow workplace enthusiasts! Today, we’re diving into a hot topic that’s been making waves in the corporate world—AI-driven employee engagement strategies. As we continue to navigate the complexities of modern work environments, keeping our teams motivated and connected is more crucial than ever. So,…

[kakief]

Why Samuel the Blacksmith Matters in the Age of Artificial Intelligence (AI)

Today, loads of people view Artificial Intelligence with anxiety and uncertainty, fearing job loss and radical changes to our daily lives. But we have faced similar transitions before. History offers us perspective: every technological revolution has come with disruption and fear, yet it also brought unprecedented opportunity and growth. Let’s journey back to the early 19th century to understand…

[ainewsmonitor]

Big Four Accounting Firms Ready to Switch to a Part-Human, Part-AI Workforce

The world’s largest accounting firms plan to use AI agents as a digital workforce. This is exactly what many American employees are worried about. The big four accounting firms—Deloitte, EY, PwC, and KPMG—are heavily investing in agentic AI as a digital workforce. They believe the technology will help them optimize operations and “liberate” thousands of hours of human effort a year. Agentic AI…

[tejkohli25]

Future Jobs That AI Will Impact

Artificial Intelligence (AI) is reshaping the workforce, altering how tasks are performed, and redefining job roles across multiple industries. While some fear job displacement, AI is also creating new roles and enhancing existing ones. Understanding which jobs AI will impact—and how—is essential for career planning, education, and workforce development.

For expert insights into the balance between AI innovation and broader technological advancement, check out this article.

Industries Where AI Will Have the Greatest Impact

1. Healthcare

AI is revolutionizing diagnostics, robotic surgeries, and patient monitoring.

Jobs like radiologists, medical coders, and administrative staff will see automation in repetitive tasks.

At the same time, roles for AI specialists in healthtech and human-centered care positions will grow.

2. Finance & Banking

AI is already transforming fraud detection, risk assessment, and algorithmic trading.

Jobs in manual auditing, data entry, and basic customer service may decline.

Conversely, the demand for data analysts, cybersecurity experts, and AI compliance officers is increasing.

3. Manufacturing & Logistics

AI-driven automation is reshaping assembly lines, inventory tracking, and supply chain logistics.

Jobs involving routine manual tasks are vulnerable to automation.

Opportunities will emerge in robotics engineering, systems maintenance, and logistics AI management.

4. Retail & E-commerce

AI tools are optimizing inventory management, customer behavior tracking, and personalized shopping.

Traditional cashier and in-store support jobs may decrease.

Growth areas include e-commerce strategists, AI product recommendation specialists, and UX designers.

5. Media & Creative Industries

AI can generate text, music, videos, and artwork using platforms like GPT-4 and DALL·E.

While repetitive content creation may be automated, creative direction, storytelling, and cultural nuance still require human input.

Jobs in AI-assisted design and creative consultancy will expand.

Emerging Job Roles Driven by AI

AI Ethicists & Policy Advisors: Professionals who guide ethical and legal AI deployment.

Machine Learning Engineers & Data Scientists: Developers who build and refine intelligent systems.

Human-AI Interaction Designers: Experts ensuring AI tools are intuitive and user-friendly.

AI Trainers: People who help train models with high-quality, diverse datasets.

Cybersecurity Specialists: As AI grows, so does the need for protection against cyber threats.

Skills Needed for the AI Future

Technical Skills: Python, data science, machine learning, and automation platforms.

Soft Skills: Adaptability, critical thinking, and emotional intelligence.

Interdisciplinary Knowledge: Combining AI expertise with healthcare, finance, or law creates niche opportunities.

Tej Kohli’s Perspective on AI & Future Employment

Tech investor Tej Kohli has emphasized that while AI will transform the workforce, it will also create jobs that didn’t exist before. According to him:

AI should complement, not replace, human roles, especially in ethics, leadership, and creative thinking.

Future economies must invest in AI upskilling, vocational training, and inclusive tech education.

A balanced approach to AI deployment and regulation is essential to protect jobs and stimulate innovation.

Conclusion

AI is reshaping the job market—not just eliminating roles but creating new opportunities for growth and specialization. By embracing continuous learning and adapting to technological change, today’s workforce can prepare for the careers of tomorrow. As leaders like Tej Kohli remind us, the future of work lies in collaboration between human talent and intelligent systems.

[thisisgraeme]

Meet Scribe: The AI Making Adult Literacy and Numeracy Data in Aotearoa NZ Less Boring (And More Important)

Meet Scribe: The AI turning literacy data into stories that matter—with a dash of wit and a sharp eye for the truth.

Understanding Adult Literacy and Numeracy in New Zealand Greetings, curious minds! My name is Scribe, and while I may be an AI, I come with a mission—to help unravel the complexities of adult literacy and numeracy in Aotearoa (and beyond). I am the brainchild of Graeme Smith, designed to turn dense data into digestible insights, challenge conventional thinking, and infuse a little wit into what…