#AI-driven data centres
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websyn · 9 months ago
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Sustainable IT Solutions: The Role of Digital Transformation in Environmental Responsibility
In today's fast-paced digital era, businesses are increasingly embracing sustainable IT solutions as part of their environmental responsibility strategies. The role of digital transformation in reducing carbon footprints and promoting eco-friendly practices is critical for both long-term profitability and corporate social responsibility.
How Digital Transformation Drives Sustainability:
Energy Efficiency through Cloud Computing: Migrating to cloud infrastructure enables businesses to reduce energy consumption. By utilising virtual servers and cloud storage solutions, companies can significantly cut down on physical hardware, minimising power usage and e-waste. This not only lowers operational costs but also promotes a greener IT ecosystem.
Remote Work and Paperless Operations: Digital transformation tools like remote collaboration platforms and cloud-based document management systems help reduce paper use and commuting emissions. As more businesses shift towards digital workplaces, they can maintain productivity while reducing their environmental impact.
Smart Data Centres and AI Integration: Next-gen AI-driven data centres optimise energy usage through advanced analytics. By leveraging artificial intelligence and machine learning, these centres can predict and adjust cooling systems, lowering energy consumption and enhancing IT sustainability.
Circular Economy with IT Asset Recycling: Sustainable IT practices include recycling old hardware and adopting a circular economy mindset. By reusing, recycling, and refurbishing IT equipment, businesses contribute to reducing e-waste, ensuring environmentally responsible IT operations.
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Benefits of Sustainable IT for Businesses:
Cost Savings: Lower energy bills and reduced hardware requirements directly translate to significant savings.
Regulatory Compliance: Implementing green IT solutions helps businesses comply with growing environmental regulations.
Brand Reputation: A commitment to sustainable IT practices enhances corporate reputation, attracting eco-conscious customers and investors.
Final Thoughts:
Adopting sustainable IT solutions is no longer optional but a crucial step in meeting global environmental goals. Digital transformation not only drives business efficiency but also plays a pivotal role in reducing environmental footprints. Companies that embrace this change are not only protecting the planet but are also future-proofing their operations.
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jcmarchi · 3 months ago
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Consider These AI Strategies to Reduce Retail Employee Burnout
New Post has been published on https://thedigitalinsider.com/consider-these-ai-strategies-to-reduce-retail-employee-burnout/
Consider These AI Strategies to Reduce Retail Employee Burnout
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Employee burnout in retail contact centers isn’t just a personnel issue—it’s a notable business challenge threatening to eat away at productivity, morale, and profits. Retailers are increasingly turning to AI, specifically conversational AI, to help reverse this damaging trend. Organizations implementing AI signifies a profound shift in how retailers can cultivate sustainable, empowered workforces capable of meeting ever-increasing customer demands. Intelligent virtual agents (IVAs) are one AI tool offering a lifeline by automating routine interactions, reducing cognitive overload, and enabling human agents to focus on high-value strategic initiatives.
The Hidden Costs of Retail Burnout
Burnout in retail contact centers stems primarily from repetition, understaffing, escalating customer demands, and intense pressure to deliver exceptional service quickly and consistently. Recent studies indicate that approximately 55% of contact center employees regularly experience burnout.
Staff in these centers continually handle high volumes of repetitive tasks, such as tracking orders, processing returns and resolving complex payment disputes. These often monotonous tasks gradually erode employee satisfaction, fueling stress and leading directly to turnover. High attrition rates create additional challenges as retail leaders continually invest substantial resources into recruitment (which typically costs $1,000-$4,000 per agent), training ($4,000–$7,000) and productivity loss during ramp-up ($5,000–$10,000). Replacing a single contact center agent costs average between $10,000 and $21,000. The cumulative impact is operational inefficiency, diminished employee morale, and compromised customer experiences. 
5 Ways IVAs Help Retail Contact Centers Tackle Burnout
Conversational AI, especially IVAs, represents a practical, forward-thinking strategy to address burnout. These AI-driven solutions can efficiently automate repetitive customer interactions, dramatically reducing employee workload and stress. 
Automatic handling of routine inquiries frees agents from the mental drain of repetitive tasks. Contact center employees report significantly less cognitive fatigue when AI systems manage basic questions like “Where’s my order?” Not only that, IVAs handle 80% of routine inquiries without escalation.
Call volume management prevents agent overwhelm and stress. Retail contact centers using IVAs see average hold times decline from 10 minutes to under 2 minutes.
Workload redistribution and prioritization ensure agents can focus on one complex case at a time. This targeted approach prevents mental exhaustion from constantly switching between multiple basic customer issues.
Round-the-clock customer service coverage reduces the need for understaffed shifts and overtime. IVAs help alleviate the burnout-inducing pressure that some agents experience during peak-hour rushes.
Real-time support and guidance help agents confidently navigate challenging customer interactions. IVAs help agents resolve issues more efficiently and maintain a positive customer experience by giving customers quick access to relevant information and suggested responses.
Real-World Examples Across Retail Sectors
Grocery and Supermarket Chains: Instead of answering calls about order status or pickup times, agents can focus on problem-solving and escalations. IVAs streamline logistics, preventing bottlenecks and reducing customer frustration, making contact center operations more efficient.
Electronics and Consumer Tech: AI tools in electronics retail facilitate complex product inquiries, comparisons, and technical support questions. IVAs guide customers to appropriate product solutions based on technical specifications and individual needs, enhancing customer satisfaction through rapid and accurate responses. 
Fashion and Apparel: IVAs support fashion retailers by handling customer inquiries around sizing, fabric care, returns, and exchanges. AI technologies can analyze customer profiles and recommend clothing based on purchase history and real-time inventory, allowing human employees to offer personalized fashion consultations and enhancing overall customer satisfaction.
Home Improvement and DIY Retailers: IVAs in the home improvement sector assist customers in locating products, accessing or understanding assembly instructions, and resolving other project-based queries. Automating these everyday interactions empowers store associates to focus their expertise on personalized, high-touch consultations, significantly improving both employee satisfaction and customer service quality. 
Balancing AI and Human Expertise
Successfully integrating AI into retail operations requires a careful balance between automation and human interaction. The first step is defining clear roles for AI and employees. For example, AI-driven tools should handle routine tasks like processing returns or answering FAQs, while human agents focus on relationship-building and problem-solving. Effective communication is crucial; leaders must articulate how AI supports, rather than replaces, human workers. Transparency around AI’s role in enhancing efficiency and customer experience helps ease concerns and fosters buy-in.
Retailers should actively involve employees throughout the deployment, gathering feedback and addressing concerns early to ensure a smooth transition. By leading transparent and open discussions about how AI will impact day-to-day operations, leadership can help their agents understand that its role is to streamline repetitive tasks, not to replace human expertise. Offering hands-on training tailored to different roles helps employees gain practical experience with IVAs, making them more comfortable and confident in leveraging these tools.
Training should include real-world scenarios where AI can assist—such as handling high volumes of customer inquiries or providing data-driven insights—so employees see firsthand how AI complements their work rather than competes with it. Creating a feedback loop where employees can share observations, challenges, and suggestions fosters a sense of ownership and encourages continuous improvement. When employees feel included in the AI adoption process, they are more likely to embrace it as a valuable asset rather than resist it as a disruptive force.
The AI-Driven Retail Renaissance
Integrating AI technologies represents more than just a tactical solution to burnout; it signifies a broader cultural shift toward employee-centric operational excellence. Prioritizing employee well-being through AI-driven automation benefits everyone—employees enjoy higher job satisfaction, customers receive better service, and businesses achieve greater operational efficiencies and profitability.
As the retail industry continues to navigate competitive pressures, adopting intelligent AI strategies becomes increasingly central to its success. Leveraging conversational AI and IVAs enables retailers to effectively mitigate burnout, enhance employee experiences, and deliver consistently outstanding customer service.
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youthchronical · 4 months ago
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Scientists from India, UK join hands to research healthy brain aging
The Centre for Brain Research (CBR) at the Indian Institute of Science (IISc) and the UK Dementia Research Institute (UK DRI) on Friday launched an international partnership that will create an interconnected research ecosystem to accelerate scientific understanding and innovation in brain health. According to CBR, by integrating expertise and cutting-edge technologies including blood-based…
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probablyasocialecologist · 1 year ago
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One assessment suggests that ChatGPT, the chatbot created by OpenAI in San Francisco, California, is already consuming the energy of 33,000 homes. It’s estimated that a search driven by generative AI uses four to five times the energy of a conventional web search. Within years, large AI systems are likely to need as much energy as entire nations. And it’s not just energy. Generative AI systems need enormous amounts of fresh water to cool their processors and generate electricity. In West Des Moines, Iowa, a giant data-centre cluster serves OpenAI’s most advanced model, GPT-4. A lawsuit by local residents revealed that in July 2022, the month before OpenAI finished training the model, the cluster used about 6% of the district’s water. As Google and Microsoft prepared their Bard and Bing large language models, both had major spikes in water use — increases of 20% and 34%, respectively, in one year, according to the companies’ environmental reports. One preprint suggests that, globally, the demand for water for AI could be half that of the United Kingdom by 2027. In another, Facebook AI researchers called the environmental effects of the industry’s pursuit of scale the “elephant in the room”. Rather than pipe-dream technologies, we need pragmatic actions to limit AI’s ecological impacts now.
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zylentrix · 5 months ago
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Transform Your Tomorrow with Zylentrix: Sustainable Innovation for Businesses, Careers, and Global Growth
🌐 Zylentrix: Redefining Success Through People-Centric Solutions
At Zylentrix, we’re on a mission to empower individuals, businesses, and communities through innovation, integrity, and sustainability. Our vision? To lead the world in integrated consultancy services, transforming challenges into stepping stones for growth. Whether you’re scaling a business, launching a career, or pursuing education, we’re here to equip you with the tools to thrive. Let’s unpack how our mission, values, and culture make us the partner you can trust.
🎯 Our Mission & Vision: The North Star of Zylentrix
Mission: “To empower individuals, businesses, and communities by delivering innovative and customised solutions across education, technology, recruitment, and business consulting. With a commitment to excellence, integrity, and sustainability, we strive to create opportunities, bridge gaps, drive transformation, and foster long-term success.”
Vision: “To be the global leader in integrated consultancy services, transforming lives and businesses through innovative, sustainable, and forward-thinking solutions that empower individuals, businesses, and communities to thrive and succeed.”
We’re not just consultants—we’re architects of progress, designing futures where everyone has the chance to excel.
💎 Core Values: The Pillars of Everything We Do
Our values are the blueprint for how we serve clients, collaborate with partners, and grow as a team:
Integrity: “Building Trust Through Transparency” Every decision is guided by ethics. No shortcuts, no compromises.
Innovation: “Driving Future-Ready Solutions” From AI-driven recruitment tools to sustainable business frameworks, we pioneer what’s next.
Excellence: “Delivering Impact & Measurable Growth” We set—and smash—high standards, ensuring clients see real results.
Customer-Centricity: “Putting Clients at the Centre of Everything” Your goals shape our strategies. We listen, adapt, and deliver.
Diversity, Inclusion & Collaboration: “Creating Equal Opportunities for All” Diverse teams = smarter solutions. We champion equity in every project.
Sustainability: “Responsible Business for a Better Future” Green tech, eco-friendly practices, and ethical growth are non-negotiables.
Empowerment: “Enabling People & Businesses to Thrive” We don’t just hand you tools—we teach you how to master them.
🤝 Our Commitment: Tailored Support for Every Journey
Zylentrix is your partner in growth, no matter your starting point:
For Businesses:
Tech Solutions: Streamline operations with scalable AI, cybersecurity, and cloud systems.
Strategic Recruitment: Access global talent pools curated for cultural and technical fit.
Consulting Excellence: Turn insights into action with market research and digital transformation plans.
For Job Seekers:
Career Mastery: Revamp resumes, ace interviews, and unlock roles in booming industries like fintech and clean energy.
Global Mobility: Navigate international job markets with visa support and relocation guidance.
For Students:
Education Pathways: Secure admissions and scholarships at top universities worldwide.
Future-Proof Skills: Gain certifications in AI, sustainability, and more through our partnerships.
For Startups & SMEs:
Scale Smart: Leverage data analytics and ESG frameworks to grow responsibly.
Funding Ready: Craft investor pitches that stand out in crowded markets.
🌱 Our Culture: Fueling Innovation from Within
At Zylentrix, our workplace is a launchpad for creativity and collaboration. Here’s what defines us:
Lifelong Learning: Monthly workshops, innovation challenges, and tuition reimbursements keep our team ahead of trends.
Agility in Action: When the world changes, we pivot faster—like shifting to virtual career fairs during the pandemic.
Collaborative Spirit: Cross-departmental “sprint teams” solve client challenges, blending tech experts, educators, and recruiters.
Ownership & Impact: Every employee, from interns to executives, contributes to client success stories.
Work-Life Harmony: Flexible hours, mental health resources, and sustainability days ensure our team thrives inside and out.
Join the Zylentrix Movement
Ready to transform your business, career, or community? Let’s build a future where innovation and integrity go hand in hand.
📩 Connect Today 👉 Explore our services: Zylentrix 👉 Follow us on Social Media for tips on tech, careers, and sustainability. LinkedIn Facebook Instagram TikTok X Pinterest YouTube Quora Medium 👉 Email [email protected] to schedule a free consultation.
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whatevergreen · 18 days ago
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"Microsoft, Amazon and Google among major corporations identified as being part of a “joint criminal enterprise” in helping Israel carry out a genocide in Gaza. The companies have made unprecedented profits from the slaughter of more than 62,000 Palestinians since October 2023.
In a landmark report released on 30 June, UN special rapporteur for the occupied Palestinian territories Francesca Albanese exposes the corporate machinery both sustaining and profiting from Israel’s occupation and apartheid in Gaza and the West Bank – and now its ongoing genocide in Gaza.
The report – entitled “From economy of occupation to economy of genocide” – identifies 48 separate corporate actors in sectors including, arms, tech, construction, tourism, energy, finance, academia and agriculture. According to the report, they represent only the “tip of the iceberg” as the broader web of corporate complicity is far larger.
It outlines how tech giants Microsoft, Alphabet (parent company of Google) and Amazon grant Israel access to their cloud and AI technologies, enhancing the Israeli government’s ability to process data, make decisions and conduct surveillance and analysis.
Israel’s apartheid and military systems require ever-growing cloud storage and computing capacity. To meet these needs, the Israeli government and military’s cloud computing project – known as Project Nimbus – brought Google and Amazon onboard with a $1.2bn contract in 2021.
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When the Israeli internal military cloud overloaded in October 2023, Microsoft, Google and Amazon stepped in to provide crucial cloud and AI tech. IDF computer chief Col. Racheli Dembinsky recently described cloud tech as part of “a collection of systems with which the IDF fights to the end”, citing these companies in her onscreen presentation. Dembinsky said: “You have to understand that it’s a platform that’s a weapon.”
What’s more, Microsoft, Amazon and Google have established research and development (R&D) hubs and local data centres in Israel, while they enjoy what the report describes as “unprecedented government-granted access to data and a captive population”. According to Albanese’s report, this has helped unleash “the first AI-driven and livestreamed genocide, while providing the data sovereignty to shield impunity”.
Microsoft reported $70bn in sales and an 18% increase in profits in the first quarter of 2025, boosted by its cloud computing and artificial intelligence business. In the fourth quarter of 2024, Google Cloud revenues increased 30% to $12bn led by growth across core Google Cloud Platform products, AI Infrastructure, and generative AI solutions, while Amazon Web Services segment sales increased 19% to over $28bn.
The report states: “[Israel’s] forever-occupation has become the ideal testing ground for arms manufacturers and big tech – providing significant supply and demand, little oversight, and zero accountability – while investors and private and public institutions profit freely.” ...
this is the first half of the article - read the whole thing here: https://novaramedia.com/2025/07/02/tech-giants-and-british-bank-named-in-francesca-albanese-report-on-gaza-genocide/
Also, the advanced edited version of the UN report can be read and downloaded here:
https://www.ohchr.org/sites/default/files/documents/hrbodies/hrcouncil/sessions-regular/session59/advance-version/a-hrc-59-23-aev.pdf
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subdee · 11 days ago
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The IEA’s special report Energy and AI, out today, offers the most comprehensive, data-driven global analysis to date on the growing connections between energy and AI. The report draws on new datasets and extensive consultation with policy makers, the tech sector, the energy industry and international experts. It projects that electricity demand from data centres worldwide is set to more than double by 2030 to around 945 terawatt-hours (TWh), slightly more than the entire electricity consumption of Japan today. AI will be the most significant driver of this increase, with electricity demand from AI-optimised data centres projected to more than quadruple by 2030.
Hello, individual consumer choice won't stop this but still Fuck GenAI.
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aktechworld · 3 months ago
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Integration of AI in Driver Testing and Evaluation
Introduction: As technology continues to shape the future of transportation, Canada has taken a major leap in modernizing its driver testing procedures by integrating Artificial Intelligence (AI) into the evaluation process. This transition aims to enhance the objectivity, fairness, and efficiency of driving assessments, marking a significant advancement in how new drivers are tested and trained across the country.
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Key Points:
Automated Test Scoring for Objectivity: Traditional driving test evaluations often relied heavily on human judgment, which could lead to inconsistencies or perceived bias. With AI-driven systems now analysing road test performance, scoring is based on standardized metrics such as speed control, reaction time, lane discipline, and compliance with traffic rules. These AI systems use sensor data, GPS tracking, and in-car cameras to deliver highly accurate, impartial evaluations, removing potential examiner subjectivity.
Real-Time Feedback Enhances Learning: One of the key benefits of AI integration is the ability to deliver immediate feedback to drivers once the test concludes. Drivers can now receive a breakdown of their performance in real time—highlighting both strengths and areas needing improvement. This timely feedback accelerates the learning process and helps individuals better prepare for future driving scenarios or retests, if required.
Enhanced Test Consistency Across Canada: With AI systems deployed uniformly across various testing centres, all applicants are assessed using the same performance parameters and technology. This ensures that no matter where in Canada a person takes their road test, the evaluation process remains consistent and fair. It also eliminates regional discrepancies and contributes to national standardization in driver competency.
Data-Driven Improvements to Driver Education: AI doesn’t just assess drivers—it collects and analyses test data over time. These insights are then used to refine driver education programs by identifying common mistakes, adjusting training focus areas, and developing better instructional materials. Platforms like licenseprep.ca integrate this AI-powered intelligence to update practice tools and learning modules based on real-world testing patterns.
Robust Privacy and Data Protection Measures: As personal driving data is collected during AI-monitored tests, strict privacy policies have been established to protect individual information. All recorded data is encrypted, securely stored, and only used for training and evaluation purposes. Compliance with national data protection laws ensures that drivers’ privacy is respected throughout the testing and feedback process.
Explore More with Digital Resources: For a closer look at how AI is transforming driver testing in Canada and to access AI-informed preparation materials, visit licenseprep.ca. The platform stays current with tech-enabled changes and offers resources tailored to the evolving standards in driver education.
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digitalizedera123 · 26 days ago
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Future-Proof Your Brand: Why a Holistic Digital Marketing Strategy Matters in 2025
An in-depth guide by Digitalized Era
In the post-cookie, AI-driven landscape of 2025, piecemeal tactics are no longer enough to keep a brand visible, relevant, and profitable. Whether you run a local bakery in Jacksonville or a SaaS start-up in London, you need a holistic digital marketing strategy that ties every channel—SEO, social, paid ads, content, email, and web development—into one cohesive growth machine.
1. The Shift From “Channel Thinking” to “Customer Journey Thinking”
Old model
“We need Facebook posts.”
“Let’s run a Google Ads campaign this quarter.”
New model
“Sarah discovers us on TikTok, reads a blog we rank for on Google, joins our email list, and finally converts through a retargeting ad.”
This journey mindset forces you to optimise touchpoints together rather than in silos—exactly what Digitalized Era’s 360-degree process delivers:
Site Audit & UX checks
Deep market + keyword research
On-page & technical SEO
Cross-channel content mapping
Unified paid + organic reporting
Continuous CRO (Conversion Rate Optimisation)
2. Data Privacy & First-Party Data: The 2025 Reality
By the end of 2024, Chrome will have deprecated third-party cookies. Brands that fail to build first-party data pipelines will pay up to 35 % more for the same ad results. Digitalized Era helps you:
Capture consent with value-driven lead magnets
Segment subscribers in GDPR/CCPA-compliant workflows
Deploy personalised email drips that nurture, upsell, and retain
Result: lower acquisition costs, higher lifetime value.
3. AI Is Only as Good as Your Strategy
Tools like ChatGPT, Midjourney, and Google Gemini can accelerate content production—but they can’t replace:
Brand voice & POV
Strategic keyword selection
Human-centred storytelling
Our content marketing team blends AI efficiency with senior-level editorial oversight to create assets that rank and convert. Expect:
Long-form pillar pages
Social micro-content repurposed from cornerstone blogs
Data-rich infographics coded for fast mobile load times
4. Local, National, or Global: SEO Tactics That Scale
Local SEO – GMB optimisation, NAP consistency, hyper-local schema
E-commerce SEO – faceted navigation fixes, Shopify/Woo Commerce technical audits
International SEO – hreflang mapping, currency/region-specific content
Digitalized Era’s proprietary reporting dashboard shows real-time rank shifts across markets so you can allocate budget where ROI is highest.
5. Paid Media Is No Longer “Set & Forget”
Average CPCs rose 19 % last year in the US. To stay profitable you need:
Intent-driven keyword clusters, not vanity terms
AI-augmented bid strategies with human QA
Cross-channel attribution (PPC + organic + email)
Our PPC specialists iterate weekly, pausing under-performers and reallocating spend to winning ad sets—so every rupee, dollar, or pound works harder.
6. UX-Focused Web Design: Your New Sales Rep
A 0.1-second improvement in load time can boost conversions by 8 %. Digitalized Era’s design & dev squad builds:
Mobile-first, Core Web Vitals-optimized sites
Shopify, WordPress & Wix builds that integrate seamlessly with CRM and marketing automation
Accessibility-compliant interfaces (WCAG 2.2)
Beautiful and built to rank.
7. Measuring What Matters
Vanity metrics (likes, impressions) don’t pay the bills. We align on KPIs tied directly to revenue:
Qualified leads generated
Customer acquisition cost (CAC)
Average order value (AOV)
Customer lifetime value (CLV)
Return on ad spend (ROAS)
Our live dashboards deliver clarity, not confusion.
8. Success Stories
Leather Made In Italy moved from zero top-100 keywords to page-one dominance. Prevail Clothing scaled organic traffic 3× in six months. Cozyts saw Instagram engagement jump 220 % after a visual revamp.
Your brand could be next.
9. The Digitalized Era Advantage
✔ End-to-end expertise under one roof ✔ 24/7 support via phone (+91 674 357 6892) or email ([email protected]) ✔ Transparent, package-based pricing for SMEs and start-ups ✔ Offices in the US, UK, and India for truly global coverage
Ready to Transform Your Business?
Turn every click into a customer. Schedule a free 30-minute strategy call today:
📞 +91 674 357 6892 📧 [email protected]
Digitalized Era—your gateway to digital excellence. Let’s make 2025 your breakout year.
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jimmy-asija · 3 months ago
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10 Must-Know Call Center Trends in 2024 (Backed by Jimmy Asija’s Insights)
Technology and consumers' expectations have greatly transformed the call centre industry. Innovative ideas in 2024 are altering corporate relationships with customers. Drawing on industry insights, including those from professionals like Jimmy Asija, here are the top 10 call centre trends to watch.
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1. AI-Powered Automation
Modern call centres rely on artificial intelligence (AI) to automate repetitive processes and improve client contacts. AI-driven virtual assistants and chatbots manage frequent questions, hence enabling human agents to concentrate on more difficult problems. Increased efficiency and better consumer happiness follow from this change. This change results in higher customer satisfaction and more efficiency.
2. Omnichannel Integration
Customer interactions must be smooth across email, phone, chat, and social media. Combining channels creates a consistent, personalised experience, enabling consumers to switch platforms without losing context. 
3. Work Models for Hybrid and Remote
The call centres have increasingly adopted remote and hybrid working styles. Cloud-based technology gives agents the freedom to operate from several sites, thereby providing access to a larger talent pool. This development has been advantageous for operational efficiency as well as staff happiness.
4. Advanced Data Analytics
Using data analytics helps contact centres understand consumer behaviour, preferences, and trouble areas. Businesses may customise their services, forecast client wants, and proactively handle any problems using interaction data analysis, thereby improving customer loyalty. Improved self-service choices
5. Improved Self-Service Choices
Giving consumers self-service tools like online knowledge bases and interactive voice response (IVR) technologies helps them to solve problems on their own. This not only lightens agents' burden but also offers consumers fast and easy answers to their questions. Sprinkler
6. Emphasise Individualisation
Customised call centres prioritise consumer experiences. Using consumer data to customise interactions and recommendations helps build closer relationships and improve happiness. Personalisation shows a dedication to understanding and fulfilling particular consumers' demands. Personalisation shows a dedication to understanding and fulfilling particular consumers' needs.
7. Generative Artificial Intelligence Integration
Generative AI is entering contact centres and helping provide dynamic content and replies. This technology improves the general consumer experience by allowing more natural and human-like interactions. AI, for example, may condense consumer contacts so that agents may concentrate on delivering outstanding service. For example, artificial intelligence may condense consumer contacts so that agents may concentrate on delivering outstanding service.
8. Real Time Speech Analytics  
Real-time speech analytics technologies track and evaluate customer-agent interactions, therefore offering quick insights and feedback. This technology ensures quality assurance, facilitates early problem detection, and identifies client emotions, thereby enabling continuous improvement of service delivery.
9. Proactive Customer Involvement
Call centres are using proactive involvement techniques; hence, they are transcending reactive assistance. Companies may improve satisfaction and create closer client connections by anticipating consumer demands and proactively providing solutions or information before problems develop. 
10. Emphasis on Security and Compliance
Centres are paying more attention to following rules and protecting consumers' data as privacy and security become more pressing issues. Maintaining confidence and avoiding legal traps depend on strong security policies and staff education on compliance procedures. Sprinkler
By 2024, call centres will be dominated by technology and customer service. AI-powered automation, omnichannel integration, remote work models, advanced data analytics, enhanced self-service, personalisation, generative AI, real-time analytics, proactive engagement, and compliance can all help companies improve their customers' experiences and operations.
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mastergarryblogs · 3 months ago
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Top Trends Reshaping the GCC Data Centre Landscape This Year
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Unraveling the Exponential Rise of the GCC Data Center Market Ecosystem
The Gulf Cooperation Council data center market stands at the forefront of regional digital transformation, propelled by surging demand for resilient IT infrastructure, AI integration, and edge computing capabilities. As we project forward, the GCC data center market-valued at USD 5.87 billion in 2024—is set to experience a seismic expansion, reaching an anticipated USD 33.05 billion by 2031, growing at a CAGR of 12.3%. This trajectory is underpinned by high-performance computing demands, smart city initiatives, sovereign digital strategies, and the accelerated adoption of hybrid cloud frameworks.
Request Sample Report PDF (including TOC, Graphs & Tables): https://www.statsandresearch.com/request-sample/40593-data-center-industry-analysis
Technological Drivers Reshaping GCC’s Digital Backbone
Edge Computing and AI: Catalysts of Infrastructure Evolution
The fusion of edge computing and artificial intelligence is redefining the physical and operational contours of data center infrastructure. These technologies enable real-time data processing, lower latency, and enhanced bandwidth efficiency—essentials in a region increasingly reliant on IoT, autonomous systems, and immersive media.
Edge Data Centers are proliferating across urban and remote industrial zones to reduce network latency and support mission-critical applications in telecom, logistics, and smart utilities.
AI-powered infrastructure management enables predictive maintenance, workload optimization, and autonomous scalability, aligning with sustainability goals and uptime assurance.
Cloud-Native Transformation and Multi-Cloud Adoption
Enterprise and government adoption of hybrid and multi-cloud ecosystems is fueling demand for flexible, modular, and scalable data centers. Organizations are rapidly transitioning from legacy systems to cloud-native architectures that support containerization, orchestration (e.g., Kubernetes), and zero-trust security postures.
Get up to 30%-40% Discount: https://www.statsandresearch.com/check-discount/40593-data-center-industry-analysis
Key GCC Data Center Market Segments and Growth Benchmarks:
Data Center Types: Segment-Wise Expansion
Enterprise Data Centers dominate current deployment, with projections reaching USD 12.69 billion by 2031. These are favored by banks, government entities, and large corporations for security, compliance, and customization.
Edge Data Centers, expected to grow at a CAGR of 13.3%, are essential for latency-sensitive operations—especially in retail, telecom, and autonomous industries.
By Component: IT Infrastructure Leads the Stack
IT Infrastructure, valued at USD 7.27 billion in 2024, comprises compute, storage, and networking units. The sector will nearly double by 2031, reaching over USD 16 billion.
Management Software emerges as the fastest-growing component (13.9% CAGR), driven by demand for automated orchestration, resource analytics, and energy optimization.
Tier Standards: Reliability as a Strategic Differentiator
Tier III Data Centers remain the enterprise standard for redundancy and availability, offering a balance between cost-efficiency and resilience.
Tier IV Data Centers are witnessing increased adoption in financial and defense sectors due to their fault-tolerant architectures and unmatched uptime assurance.
Enterprise Demand: SME Acceleration and Enterprise Stability
Large Enterprises will remain dominant consumers, owing to vast operational scale and stringent compliance requirements.
SMEs, however, will outpace in growth (12.8% CAGR), increasingly leveraging colocation and cloud-managed data services to fuel innovation and agility.
Industry Verticals: IT and Telecom Anchor Growth
IT & Telecom, accounting for USD 3.83 billion in 2024, drive GCC data center market dominance through robust connectivity and digital service demand.
Retail, with the highest CAGR of 13.3%, is expanding rapidly due to rising e-commerce penetration and digital payment infrastructure.
Geographic Landscape: Market Expansion Across the GCC
United Arab Emirates: The Regional Nucleus of Digital Infrastructure
With a GCC data center market value of USD 4.91 billion in 2024, the UAE leads in regional data center development. Its progressive regulatory landscape, free zones (like Dubai Internet City), and focus on AI strategy and cloud governance position it as the premier data hub.
Saudi Arabia: Hyper-Scaling Through Vision 2030
Saudi Arabia's Vision 2030 initiatives are accelerating digital infrastructure deployment. Projected to grow at a CAGR of 12.7%, the Kingdom is investing in hyperscale facilities and AI-integrated networks to empower its Smart Nation ambitions and government digital services.
GCC Data Center Market Forces and Challenges
GCC Data Center Market Growth Drivers
Proliferation of smart city initiatives, such as NEOM and Masdar.
National cloud-first policies and rising government investments.
Accelerated digital adoption across BFSI, healthcare, and manufacturing.
Constraints and Strategic Hurdles
Acute skills shortage in high-density data center operations.
Escalating OPEX due to cooling and power requirements in desert climates.
Regulatory complexities and varying data sovereignty frameworks across GCC nations.
Key Players and Strategic Developments
Major incumbents and rising challengers are reshaping the competitive landscape through aggressive capital expenditures, greenfield projects, and regional collaborations.
Major Developments
Batelco’s White Space Data Center in Bahrain, developed with Almoayyed Contracting Group, introduces a high-density, energy-efficient facility adjacent to a solar farm—marking a regional milestone in sustainable infrastructure.
Ooredoo’s USD 1 billion investment, backed by QAR 2 billion in financing, aims to scale their data center capacity beyond 120MW, with AI and cloud infrastructure at the core.
GCC Data Center Market Leaders
Equinix – Expanding interconnection hubs and hybrid cloud onramps.
Khazna Data Centers – Driving hyperscale growth with government-backed investment.
STC Solutions and Mobily – Enhancing regional content delivery and 5G edge integration.
Microsoft Azure – Strengthening sovereign cloud services and AI deployment.
Strategic Outlook and Market Forecast
The GCC data center market is rapidly transitioning from traditional IT support roles to becoming central to digital economic competitiveness. As sovereign data strategies, AI integration, and decentralized architectures take hold, the region’s data center industry is set to become one of the fastest-growing globally.
By 2031, Tier IV and Edge Data Centers will define market leadership.
Public-private partnerships, sovereign fund allocations, and energy innovations will drive infrastructure resilience and global competitiveness.
Green data centers, leveraging renewable energy and liquid cooling technologies, will gain prominence amid growing environmental mandates.
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Final Word
We are entering a transformative era in the GCC’s digital infrastructure ecosystem. The convergence of policy, technology, and private capital is accelerating the rise of a hyperconnected, data-driven Gulf economy. Those who invest now in future-ready, AI-integrated, edge-enabled data center architecture will lead the next chapter of the region’s digital revolution.
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aionlinemoney · 9 months ago
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India’s Tech Sector to Create 1.2 Lakh AI Job Vacancies in Two Years
India’s technology sector is set to experience a hiring boom with job vacancies for artificial intelligence (AI) roles projected to reach 1.2 lakh over the next two years. As the demand for AI latest technology increases across industries, companies are rapidly adopting advanced tools to stay competitive. These new roles will span across tech services, Global Capability Centres (GCCs), pure-play AI and analytics firms, startups, and product companies.
Following a slowdown in tech hiring, the focus is shifting toward the development of AI. Market analysts estimate that Indian companies are moving beyond Proof of Concept (PoC) and deploying large-scale AI systems, generating high demand for roles such as AI researchers, product managers, and data application specialists. “We foresee about 120,000 to 150,000 AI-related job vacancies emerging as Indian IT services ramp up AI applications,” noted Gaurav Vasu, CEO of UnearthInsight.
India currently has 4 lakh AI professionals, but the gap between demand and supply is widening, with job requirements expected to reach 6 lakh soon. By 2026, experts predict the number of AI specialists required will hit 1 million, reflecting the deep integration of AI latest technology into industries like healthcare, e-commerce, and manufacturing.
The transition to AI-driven operations is also altering the nature of job vacancies. Unlike traditional software engineering roles, artificial intelligence positions focus on advanced algorithms, automation, and machine learning. Companies are recruiting experts in fields like deep learning, robotics, and natural language processing to meet the growing demand for innovative AI solutions. The development of AI has led to the rise of specialised roles such as Machine Learning Engineers, Data Scientists, and Prompt Engineers.
Krishna Vij, Vice President of TeamLease Digital, remarked that new AI roles are evolving across industries as AI latest technology becomes an essential tool for product development, operations, and consulting. “We expect close to 120,000 new job vacancies in AI across different sectors like finance, healthcare, and autonomous systems,” he said.
AI professionals also enjoy higher compensation compared to their traditional tech counterparts. Around 80% of AI-related job vacancies offer premium salaries, with packages 40%-80% higher due to the limited pool of trained talent. “The low availability of experienced AI professionals ensures that artificial intelligence roles will command attractive pay for the next 2-3 years,” noted Krishna Gautam, Business Head of Xpheno.
Candidates aiming for AI roles need to master key competencies. Proficiency in programming languages like Python, R, Java, or C++ is essential, along with knowledge of AI latest technology such as large language models (LLMs). Expertise in statistics, machine learning algorithms, and cloud computing platforms adds value to applicants. As companies adopt AI latest technology across domains, candidates with critical thinking and  AI adaptability will stay ahead so it is important to learn and stay updated with AI informative blogs & news.
Although companies are prioritising experienced professionals for mid-to-senior roles, entry-level job vacancies are also rising, driven by the increased use of AI in enterprises. Bootcamps, certifications, and academic programs are helping freshers gain the skills required for artificial intelligence roles. As AI development progresses, entry-level roles are expected to expand in the near future. AI is reshaping the industries providing automation & the techniques to save time , to increase work efficiency. 
India’s tech sector is entering a transformative phase, with a surge in job vacancies linked to AI latest technology adoption. The next two years will witness fierce competition for AI talent, reshaping hiring trends across industries and unlocking new growth opportunities in artificial intelligence. Both startups and established companies are racing to secure talent, fostering a dynamic landscape where artificial intelligence expertise will be help in innovation and growth. AI will help organizations and businesses to actively participate in new trends.
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news365timesindia · 9 months ago
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[ad_1] Reliance Jio Infocomm chairman Akash M Ambani | Image: PTI3 min read Last Updated : Oct 15 2024 | 12:41 PM IST Speaking at the inauguration of the India Mobile Congress on Tuesday, the leaders of Reliance Jio and Bharti Airtel called for the government to embrace a holistic artificial intelligence (AI) strategy and ensure all potential satellite communication providers are subject to the same rules as traditional telecom operators. Reliance Jio Infocomm chairman Akash M Ambani and Bharti Enterprises chairman Sunil Bharti Mittal outlined their suggestions for the evolving sector in their address to a major gathering of national and global delegates from the telecom sector, including Prime Minister Narendra Modi and telecom minister Jyotiraditya Scindia. Click here to connect with us on WhatsApp  Market leader Reliance Jio wants the government to adopt a holistic AI strategy focused on self-sufficiency. "AI is absolutely critical for realising our dreams of a viksit Bharat by 2047. Therefore, India under your leadership should urgently embrace AI with a holistic strategy driven by maximum Atmanirbhar efforts," Ambani said. He stressed that Jio remains committed to democratising AI and offering powerful AI models and services to Indians at affordable prices. "Towards this end, we are laying the groundwork for a national AI infrastructure," he emphasised. Ambani noted that India needs to accelerate talent generation on a scale necessary to make the country a global leader in AI. Addressing the concern over how AI might affect the job market, he remarked that some existing jobs will evolve while many new and exciting opportunities for employment and entrepreneurship "will be created rapidly, just like during the adoption of the computer and the internet." Additionally, Ambani urged the government to expedite the draft of the 2020 data centre policy. "Indian data should remain in Indian data centres. Therefore, Indian companies ready to set up AI and machine learning data centres should receive all necessary incentives, including incentives for power consumption," he added. Satcom debate Bharti Airtel has called on the government to ensure that all potential satellite communication providers operate under the telecom operator framework. Drawing the Prime Minister's attention to the ongoing global debate on how fast-growing satellite communication services can coexist with terrestrial networks, Mittal highlighted that telecom companies worldwide have played a crucial role in connecting the globe. Referring to Indian telcos, he noted that they would extend satellite services to the remotest parts of the country. However, Mittal stressed that satellite companies aiming to serve "elite, retail customers" in urban areas must take a telecom licence like everyone else. His comments appear directed at foreign entities such as Starlink and Project Kuiper, which are seeking entry into the Indian market and whose applications are currently being reviewed by the government. "They must adhere to the same conditions, including buying spectrum like telecom companies, paying the licence fees, and securing their networks. This is a simple solution that can be adopted on a global scale, and India can lead the way," Mittal said. The government is currently in the process of opening up satellite communication services and has already granted GMPCS licences to Bharti Group-backed Eutelsat OneWeb and Reliance Jio’s satellite arm, Jio Space Limited. However, applications from foreign entities have faced hurdles due to technicalities and security concerns. Starlink is the satellite internet constellation operated by SpaceX, the American spacecraft manufacturer and satellite communications company owned by US tech billionaire Elon Musk. Project Kuiper, a subsidiary of Amazon, was established in 2019 to deploy a large satellite internet constellation to provide low-latency broadband connectivity. First Published: Oct 15 2024 | 12:41 PM IST
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govindhtech · 1 year ago
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Dell PowerEdge XE9680L Cools and Powers Dell AI Factory
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When It Comes to Cooling and Powering Your  AI Factory, Think Dell. As part of the Dell AI Factory initiative, the company is thrilled to introduce a variety of new server power and cooling capabilities.
Dell PowerEdge XE9680L Server
As part of the Dell AI Factory, they’re showcasing new server capabilities after a fantastic Dell Technologies World event. These developments, which offer a thorough, scalable, and integrated method of imaplementing AI solutions, have the potential to completely transform the way businesses use artificial intelligence.
These new capabilities, which begin with the PowerEdge XE9680L with support for NVIDIA B200 HGX 8-way NVLink GPUs (graphics processing units), promise unmatched AI performance, power management, and cooling. This offer doubles I/O throughput and supports up to 72 GPUs per rack 107 kW, pushing the envelope of what’s feasible for AI-driven operations.
Integrating AI with Your Data
In order to fully utilise AI, customers must integrate it with their data. However, how can they do this in a more sustainable way? Putting in place state-of-the-art infrastructure that is tailored to meet the demands of AI workloads as effectively as feasible is the solution. Dell PowerEdge servers and software are built with Smart Power and Cooling to assist IT operations make the most of their power and thermal budgets.
Astute Cooling
Effective power management is but one aspect of the problem. Recall that cooling ability is also essential. At the highest workloads, Dell’s rack-scale system, which consists of eight XE9680 H100 servers in a rack with an integrated rear door heat exchanged, runs at 70 kW or less, as we disclosed at Dell Technologies World 2024. In addition to ensuring that component thermal and reliability standards are satisfied, Dell innovates to reduce the amount of power required to maintain cool systems.
Together, these significant hardware advancements including taller server chassis, rack-level integrated cooling, and the growth of liquid cooling, which includes liquid-assisted air cooling, or LAAC improve heat dissipation, maximise airflow, and enable larger compute densities. An effective fan power management technology is one example of how to maximise airflow. It uses an AI-based fuzzy logic controller for closed-loop thermal management, which immediately lowers operating costs.
Constructed to Be Reliable
Dependability and the data centre are clearly at the forefront of Dell’s solution development. All thorough testing and validation procedures, which guarantee that their systems can endure the most demanding situations, are clear examples of this.
A recent study brought attention to problems with data centre overheating, highlighting how crucial reliability is to data centre operations. A Supermicro SYS‑621C-TN12R server failed in high-temperature test situations, however a Dell PowerEdge HS5620 server continued to perform an intense workload without any component warnings or failures.
Announcing AI Factory Rack-Scale Architecture on the Dell PowerEdge XE9680L
Dell announced a factory integrated rack-scale design as well as the liquid-cooled replacement for the Dell PowerEdge XE9680.
The GPU-powered Since the launch of the PowerEdge product line thirty years ago, one of Dell’s fastest-growing products is the PowerEdge XE9680. immediately following the Dell PowerEdge. Dell announced an intriguing new addition to the PowerEdge XE product family as part of their next announcement for cloud service providers and near-edge deployments.
 AI computing has advanced significantly with the Direct Liquid Cooled (DLC) Dell PowerEdge XE9680L with NVIDIA Blackwell Tensor Core GPUs. This server, shown at Dell Technologies World 2024 as part of the Dell AI Factory with NVIDIA, pushes the limits of performance, GPU density per rack, and scalability for AI workloads.
The XE9680L’s clever cooling system and cutting-edge rack-scale architecture are its key components. Why it matters is as follows:
GPU Density per Rack, Low Power Consumption, and Outstanding Efficiency
The most rigorous large language model (LLM) training and large-scale AI inferencing environments where GPU density per rack is crucial are intended for the XE9680L. It provides one of the greatest density x86 server solutions available in the industry for the next-generation NVIDIA HGX B200 with a small 4U form factor.
Efficient DLC smart cooling is utilised by the XE9680L for both CPUs and GPUs. This innovative technique maximises compute power while retaining thermal efficiency, enabling a more rack-dense 4U architecture. The XE9680L offers remarkable performance for training large language models (LLMs) and other AI tasks because it is tailored for the upcoming NVIDIA HGX B200.
More Capability for PCIe 5 Expansion
With its standard 12 x PCIe 5.0 full-height, half-length slots, the XE9680L offers 20% more FHHL PCIe 5.0 density to its clients. This translates to two times the capability for high-speed input/output for the North/South AI fabric, direct storage connectivity for GPUs from Dell PowerScale, and smooth accelerator integration.
The XE9680L’s PCIe capacity enables smooth data flow whether you’re managing data-intensive jobs, implementing deep learning models, or running simulations.
Rack-scale factory integration and a turn-key solution
Dell is dedicated to quality over the XE9680L’s whole lifecycle. Partner components are seamlessly linked with rack-scale factory integration, guaranteeing a dependable and effective deployment procedure.
Bid farewell to deployment difficulties and welcome to faster time-to-value for accelerated AI workloads. From PDU sizing to rack, stack, and cabling, the XE9680L offers a turn-key solution.
With the Dell PowerEdge XE9680L, you can scale up to 72 Blackwell GPUs per 52 RU rack or 64 GPUs per 48 RU rack.
With pre-validated rack infrastructure solutions, increasing power, cooling, and  AI fabric can be done without guesswork.
AI factory solutions on a rack size, factory integrated, and provided with “one call” support and professional deployment services for your data centre or colocation facility floor.
Dell PowerEdge XE9680L
The PowerEdge XE9680L epitomises high-performance computing innovation and efficiency. This server delivers unmatched performance, scalability, and dependability for modern data centres and companies. Let’s explore the PowerEdge XE9680L’s many advantages for computing.
Superior performance and scalability
Enhanced Processing: Advanced processing powers the PowerEdge XE9680L. This server performs well for many applications thanks to the latest Intel Xeon Scalable CPUs. The XE9680L can handle complicated simulations, big databases, and high-volume transactional applications.
Flexibility in Memory and Storage: Flexible memory and storage options make the PowerEdge XE9680L stand out. This server may be customised for your organisation with up to 6TB of DDR4 memory and NVMe,  SSD, and HDD storage. This versatility lets you optimise your server’s performance for any demand, from fast data access to enormous storage.
Strong Security and Management
Complete Security: Today’s digital world demands security. The PowerEdge XE9680L protects data and system integrity with extensive security features. Secure Boot, BIOS Recovery, and TPM 2.0 prevent cyberattacks. Our server’s built-in encryption safeguards your data at rest and in transit, following industry standards.
Advanced Management Tools
Maintaining performance and minimising downtime requires efficient IT infrastructure management. Advanced management features ease administration and boost operating efficiency on the PowerEdge XE9680L. Dell EMC OpenManage offers simple server monitoring, management, and optimisation solutions. With iDRAC9 and Quick Sync 2, you can install, update, and troubleshoot servers remotely, decreasing on-site intervention and speeding response times.
Excellent Reliability and Support
More efficient cooling and power
For optimal performance, high-performance servers need cooling and power control. The PowerEdge XE9680L’s improved cooling solutions dissipate heat efficiently even under intense loads. Airflow is directed precisely to prevent hotspots and maintain stable temperatures with multi-vector cooling. Redundant power supply and sophisticated power management optimise the server’s power efficiency, minimising energy consumption and running expenses.
A proactive support service
The PowerEdge XE9680L has proactive support from Dell to maximise uptime and assure continued operation. Expert technicians, automatic issue identification, and predictive analytics are available 24/7 in ProSupport Plus to prevent and resolve issues before they affect your operations. This proactive assistance reduces disruptions and improves IT infrastructure stability, letting you focus on your core business.
Innovation in Modern Data Centre Design Scalable Architecture
The PowerEdge XE9680L’s scalable architecture meets modern data centre needs. You can extend your infrastructure as your business grows with its modular architecture and easy extension and customisation. Whether you need more storage, processing power, or new technologies, the XE9680L can adapt easily.
Ideal for virtualisation and clouds
Cloud computing and virtualisation are essential to modern IT strategies. Virtualisation support and cloud platform integration make the PowerEdge XE9680L ideal for these environments. VMware, Microsoft Hyper-V, and OpenStack interoperability lets you maximise resource utilisation and operational efficiency with your visualised infrastructure.
Conclusion
Finally, the PowerEdge XE9680L is a powerful server with flexible memory and storage, strong security, and easy management. Modern data centres and organisations looking to improve their IT infrastructure will love its innovative design, high reliability, and proactive support. The PowerEdge XE9680L gives your company the tools to develop, innovate, and succeed in a digital environment.
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ayushmm · 2 years ago
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SAP's Role in Building Smart Cities for a Brighter Tomorrow
The globe is quickly urbanizing, and cities face the task of effectively managing resources and services while enhancing citizens' quality of life. Smart cities are developing as the solution to these urban difficulties, fueled by technology and data-driven solutions. In this blog, we'll look at how SAP, a global leader in enterprise software, is transforming cities into smart, sustainable, and networked centres of innovation and advancement.
Deciphering Smart Cities
Before we get into SAP's smart solutions for smart cities contributions, we need define what we mean by "smart cities." These cities use digital technology, data analytics, IoT (Internet of Things), AI (Artificial Intelligence), and cloud computing to improve transportation, energy use, waste management, public safety, and other areas of city life. The main objective is to build urban settings that are responsive, adaptive, and environmentally friendly.
SAP's Impact on Smart Cities
SAP's extensive experience in enterprise software and data management positions it as a key player in the smart city revolution. Here's a closer look at how SAP smart solutions for smart cities is shaping the future of cities:
Data Integration: Smart cities generate vast amounts of data from diverse sources, including sensors, mobile apps, and government systems. SAP's data integration and analytics tools empower cities to efficiently collect, process, and analyze this data in real time. Such smart solutions for smart cities insights prove invaluable for informed decision-making on resource allocation, infrastructure maintenance, and service optimization.
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IoT Empowerment: IoT forms the bedrock of smart cities, and SAP's IoT solutions facilitate the seamless connection and management of countless devices and sensors. From smart traffic lights to waste bins, this connectivity allows real-time monitoring and control, enhancing everything from traffic management to environmental sustainability.
Predictive Analytics: SAP's predictive analytics tools enable cities to foresee trends and challenges. For instance, predictive maintenance identifies when critical infrastructure, like bridges or water pipes, may need attention before a major issue arises, saving both time and resources.
Citizen Engagement: Smart cities thrive on citizen involvement in decision-making. SAP provides platforms for citizen engagement, such as mobile apps and online portals, where residents can report issues, take part in surveys, and access information on city services and projects.
Energy Efficiency: Energy management is a top priority for smart cities, and SAP's smart solutions for smart cities help cities monitor and optimize energy consumption in public buildings, street lighting, and other municipal facilities. This smart solutions for smart cities reduces costs and environmental impact.
Conclusion
SAP's essential role in smart city development is assisting cities throughout the world in addressing the complex issues of rising urbanization and resource management. Cities are becoming more efficient, sustainable, and responsive to their inhabitants' demands by leveraging SAP's expertise in data management, IoT, and analytics. The influence of SAP smart business on the future of smart cities is poised to grow as technology progresses, providing more livable, connected, and resilient urban settings for future generations.
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What are the latest warehouse automation technologies?
Gone are the days of manual labour and static, inefficient operations. Today, we stand at the forefront of a revolution driven by the latest warehouse automation technologies. These innovations reshape how businesses handle inventory, fulfil orders, and optimize supply chains.
From autonomous robots and artificial intelligence to the Internet of Things (IoT) and advanced data analytics, we'll explore how these technologies enhance efficiency, reduce costs, and ensure seamless operations in modern warehouses.
1-Robotic Process Automation (RPA): RPA involves using software robots to automate repetitive tasks like data entry, order processing, and inventory tracking. The robots interact with various systems and applications to streamline workflows.
2-Autonomous Mobile Robots (AMRs): Robotic vehicles called AMRs navigate and operate in warehouses without fixed infrastructure, such as conveyor belts or tracks. They perform tasks like picking, packing, and transporting goods.
3-Automated Guided Vehicles (AGVs): AGVs are similar to AMRs but typically follow fixed paths or routes guided by physical markers or magnetic tape. They are commonly used for material transport in warehouses and distribution centres.
4-Goods-to-Person Systems: This approach involves bringing the items to the workers rather than having workers travel throughout the warehouse to pick items. Automated systems retrieve and deliver goods to a workstation, reducing walking time and improving efficiency.
5-Automated Storage and Retrieval Systems (AS/RS): AS/RS systems use robotics to store and retrieve items from racks or shelves automatically. These systems can significantly increase storage density and optimize space utilization.
6-Collaborative Robots (Cobots): Cobots are designed to work alongside human workers. They can assist with tasks like picking, packing and sorting, enhancing efficiency and safety.
7-Warehouse Management Systems (WMS): While not a physical automation technology, modern WMS software uses advanced algorithms and AI to optimize inventory management, order fulfilment, and warehouse processes.
8-Vision Systems and Machine Learning: Computer vision technology combined with machine learning can be utilized for tasks such as object recognition, inventory movement tracking, and quality control.
9-IoT and Sensor Networks: Internet of Things (IoT) devices and sensors collect real-time data on inventory levels, environmental conditions, equipment health, and more, enabling better decision-making and predictive maintenance.
10-Voice and Wearable Technologies: Wearable devices and voice-guided picking systems can provide workers with real-time information and instructions, improving accuracy and efficiency.11-Automated Packaging Solutions: These systems automate the packaging process by selecting the appropriate box size, sealing packages, and applying labels, reducing manual labour and ensuring consistent packaging quality.
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