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Reshaping Customer Service and Experiences: The Impact of Chatbots and AI

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 By Mohammed Sleeq, COO at Unifonic

Technology and artificial intelligence (AI) have become integral to our daily lives, reshaping industries and revolutionizing human experiences. The influence of AI, particularly through tech giants, is evident in the transformative impact it has had on various sectors. Meta, with its innovative Llama technology, and OpenAI, through ChatGPT, are leading the charge, providing cutting-edge solutions that redefine the industry landscape.

AI chatbots are becoming increasingly important in today’s industries, as they redefine the way operations are run. The world of customer service has witnessed a significant transformation, driven by the remarkable potential of AI-powered chatbots. This technical shift has rewritten customer experiences and engagement by meeting their preferences and interests.

Thanks to technological advancements, chatbots have become more capable than ever, making them an invaluable tool for organizations to enhance user experiences. Recent reports suggest that over 90% of users interacted with chatbots in the previous year, with 70% of them rating these conversations as positive.

With the help of advanced chatbots, around 90% of customer queries and concerns can be resolved within just 10 messages or less. This is because chatbot conversations are typically brief and to the point. The AI technology behind these chatbots is capable of comprehending customer requests and formulating tailored and effective solutions to their problems, resulting in minimal responses. Chatbot designers have complete control over the user interface, conversation flow, and response rates for various message options.

Did you know that the top five nations that use chatbots are the United States, India, Germany, the United Kingdom, and Brazil? It’s interesting to note that most of the approximately 1.5 billion chatbot users are based in these five countries. Moreover, this number is expected to continue growing worldwide. It is predicted that by 2027, many organizations will rely primarily on chatbots for customer assistance. In the Middle East, it is estimated that around 85% of all consumer interactions will be handled by technologies like chatbots by the year 2025.

Chatbots beyond functional roles

Chatbots can be an effective tool for customer service and marketing, as they can significantly reduce costs and save time. With advancements in AI, chatbots can now customize their interactions with each individual client, leading to more efficient and natural conversations. This enables businesses to gain a deeper understanding of their customers’ needs and preferences.

In the ever-evolving landscape of AI adoption, governments are quick to recognize the potential of chatbots. AI is rapidly being commoditized, with chatbots becoming integral tools for public services. Governments worldwide are actively leveraging chatbot technology for a range of applications, signalling a widespread recognition of its efficiency in handling citizen interactions.

In the past, chatbots could only provide customers with basic assistance due to their reliance on rules-based reasoning. They would identify specific trigger words and phrases in a customer’s query and respond with pre-scripted statements. However, this approach had limitations since chatbots couldn’t learn from customer interactions, which made it difficult for them to understand precisely what the customer required. As a result, chatbots were only effective in answering straightforward queries.

Additionally, it was also challenging for previous chatbot versions to accommodate regional dialects and engage in non-European language conversations. However, with the use of natural language processing (NLP) or natural language understanding (NLU), modern automated chat systems have become more effective in interacting with users in Arabic and many other global languages. Contemporary AI-driven chatbots now leverage advanced language processing, enabling effective interactions in multiple languages. For regions like the Middle East, where a 24/7 multilingual call center is costly, AI presents a very effective solution. Modern chatbots offer real-time translations, enhancing customer satisfaction and operational efficiency. For example, Unifonic’s software solutions operate seamlessly in English, Arabic, and Urdu, showcasing the flexibility of AI in breaking language barriers, which is crucial for an inclusive customer experience.

Today’s AI chatbots have already shown significant improvements in human-like communication. With advanced language processing algorithms, these chatbots can understand the user’s inquiry and provide appropriate responses with a natural conversational tone. They are also capable of learning the user’s behavior and preferences, creating a more personalized and natural conversation experience. It’s as if the chatbot is genuinely listening and engaging with the user, simulating human-like conversation. The advancement in AI chatbots has made it possible to bridge the gap between human and machine communication, making it easier for users to interact with them. With all the advancements and benefits that come with AI-driven chatbots, it is expected that their adoption will increase significantly worldwide in the next few years.

AI bots and their ability to exhibit human-like characteristics in future

Interacting with a conversational chatbot feels more natural and organic because it can understand synonyms, emotions, and context better. This enhances the AI’s understanding of customers and their queries, reducing misunderstandings that could lead to a negative experience.

Moreover, these AI chatbots are known for their empathetic responses, which enable them to identify and respond to the emotions that humans display during conversations. The chatbot system can recognize a broad range of emotional states, from happiness to despair or frustration, by analyzing the tone, choice of words, and facial expressions. This reaction not only enhances the user experience but also enables users and robots to communicate more effectively.

Evolving role of AI in chatbots

Globally, conversational AI chatbots are revolutionizing the corporate landscape. A few years ago, many chatbots were ineffective, often counterproductive, and poorly configured, resulting in low customer satisfaction. However, the rapid advancement of AI and Natural Language Understanding has significantly contributed to the emergence of more advanced chatbots.

Nowadays, AI chatbots have become vital tools in modern marketing, seamlessly integrating with full-funnel conversational marketing strategies. These advanced chatbots play a crucial role in every stage of the customer journey, from initial awareness to post-purchase engagement. During the initial awareness stage, AI chatbots interact with website users in real-time, providing them with immediate information and support. As users progress through the consideration phase, these chatbots use personalized interactions to assist them in making informed decisions.

In addition to facilitating smooth processes during the decision and conversion stages, AI chatbots are essential for maintaining client retention post-purchase. They offer continuous assistance and gather insightful feedback to improve user experiences. Together, conversational marketing and AI chatbots enable organizations to create lasting connections with their target audiences, driving success across the entire marketing funnel.

Assessing valuable user data through chatbot interactions

In today’s fast-paced digital world, businesses from various industries constantly seek innovative ways to connect and engage with potential customers. Chatbots are an effective tool, providing companies with a unique opportunity to customize their interactions and engage effectively with their target audience. Additionally, chatbots help streamline the customer acquisition process, making it more efficient and effective.

Privacy and protection of customer data

It is important to integrate AI chatbots into operations with proper awareness and understanding of the potential ethical issues that may arise. Using private data collected by chatbots poses many moral and legal challenges. AI technology suppliers must provide information on how their systems handle ethical issues and what measures should be taken when implementing them. This is primarily because chatbots can gather information about customer preferences, behavior, and interactions, which can provide numerous useful insights.

By utilizing these insights, chatbot users will be provided with a better and tailored experience, as well as more precise and relevant answers to their queries. However, the collection and storage of personal data and information require secure management of this data in a compliant manner. Companies must ensure that they have the necessary security mechanisms in place to safeguard customer information and comply with data privacy laws, such as the General Data Protection Regulation (GDPR).

Chatbots are significantly transforming the customer service industry by providing companies with the opportunity to offer clients seamless, personalized, and effective customer assistance. They lower expenses and improve customer experiences by handling numerous requests simultaneously, providing immediate responses, and delivering tailored interactions. Chatbots are expected to become increasingly complex and sophisticated as technology continues to develop, further combining voice recognition, emotional intelligence, and other cutting-edge AI tools to enrich customer journeys.

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Tech Features

Yango Tech: Four Game-Changing Tools Revolutionising Retail Operations

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A wide angle shot of a robotic arm by Yango Tech in an industrial setup

Consumer demand in the Middle East is rising fast, driven by omnichannel shopping habits and the expectation of speed and accuracy. AI-powered automation has become essential for retailers to keep up. McKinsey projects AI contribute up to $150 billion to GCC economies by 2030, while the UAE’s retail sector is forecast to reach $74.87 billion by 2028. Yango Tech has outlined four key tools retailers can use to succeed in this environment.

1. AI Agents

AI agents are transforming retail with several capabilities. On the front end, they deliver contextually relevant recommendations in real time, tailoring offers based on location, cultural moments, or the weather, while conversational AI enriches the journey with human-like assistance in native languages. They also harness predictive capabilities by analysing unstructured data, from social media to past purchase behaviour, to anticipate shifts in demand and refine pricing or promotional strategies. Ahead of Eid Al-Adha, for instance, they might spotlight premium meat cuts or traditional Arabic sweets, helping retailers unlock revenue increases of 10–15%.

Beyond customer-facing roles, AI agents drive efficiency behind the scenes. Procurement agents compose RFPs, compare vendor offers, and execute sourcing decisions directly in procurement systems, saving up to 80% of manual effort. Replenishment agents forecast inventory gaps, adjust orders dynamically, and use computer vision to redistribute stock or reroute deliveries, boosting accuracy to 95% and cutting waste. Content management agents accelerate time-to-listing by auto-generating product cards, adapting content to trends, and ensuring consistency across markets. Pricing agents track competitor SKUs and demand elasticity in real time, optimising promotions and delivery fees to protect margins while sustaining competitiveness.

2. Smart Price Tags

Price intelligence has become crucial for staying competitive with today’s informed and price-sensitive shoppers. Dynamic pricing algorithms can review millions of products in minutes, optimising strategies at a speed human decision-making cannot match. By applying ML to track competitor pricing, market trends, and demand elasticity, retailers can adjust prices in real time, boosting gross merchandise value by up to 20%. These systems also factor in seasonal shifts, fluctuating supply costs, and product shelf life, while surge pricing AI manages delivery fees or order values during peak periods to protect margins. Digital twin technology strengthens this further by creating virtual replicas of stores, streaming data from sensors and cameras into pricing systems. This real-time visibility into shelves and product movement ensures that pricing decisions are tied directly to availability, enabling retailers to reduce waste, streamline operations, and maintain customer trust while driving profitability.

3. Computer Vision

Computer vision (CV) is redefining how retailers manage store layouts and product assortments by moving beyond static, manually updated plans. Instead of relying only on historical sales data, AI agents equipped with CV analyse real-time customer traffic and interactions to continuously optimize shelf arrangements and product placement. This creates store environments that adapt dynamically to shopper behaviour, boosting sales and improving the overall experience. CV also provides granular insights into store-specific conditions, from equipment to layout constraints, enabling smarter decisions. Beyond the shop floor, warehouses use CV to monitor dispatch accuracy, logistics teams track the condition of trucks in transit, and managers can oversee staff performance in real time. Paired with augmented reality, the technology also delivers richer customer engagement, allowing shoppers to virtually try on clothes or visualize furniture directly in their homes.

A wide angle shot of a robotic arm by Yango Tech in an industrial setup

4. Robotic automation

Robotics is moving from concept to necessity in retail. In warehouses, robotic pickers trained through behavioural cloning by human experts and thousands of real-world warehouse scenarios reach up to 95% picking accuracy. With the repetitive warehouse tasks taken over, staff can focus on higher-value work and boost productivity.

Autonomous delivery robots are also emerging as practical solutions for dense urban areas. Equipped with high-precision navigation, they operate 24/7 and cut emissions compared to traditional vehicles. They complement existing fleets by reaching locations where larger vehicles cannot, supporting zero-emission urban logistics. As battery technology and urban infrastructure advance, their role in retail operations will continue to expand.

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Tech Features

From Control to Intelligence: Why the GCC Is Poised to Lead the Next Security Evolution

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By Wei Huang, Chief Technology Officer, Anomali

In cybersecurity, each era is defined by a shift in architecture. Firewalls dominated the 2000s. Endpoint protection and identity controls shaped the 2010s. Today, we are entering a new phase — one where cloud-native platforms, real-time data correlation, and AI-powered analytics are no longer optional but essential.

Nowhere is this transition more timely than in the Gulf Cooperation Council (GCC) region. As cloud adoption accelerates across the United Arab Emirates (UAE), Saudi Arabia, and neighboring states, national cybersecurity resilience has become a critical pillar of digital transformation. GCC organizations have a unique opportunity to leap ahead — bypassing legacy limitations and adopting next-generation security architectures purpose-built for today’s advanced threats.

The Core Shift: Security Is Now a Data Problem

For decades, cybersecurity focused on control: firewalls, proxies, endpoint agents, and network gateways. While these tools remain foundational, today’s adversaries have evolved. Attackers exploit gaps between systems, bypass controls through misconfigurations, and evade siloed defenses with increasing sophistication.

The result is a fundamental architectural shift: modern security is no longer solely about enforcing control — it’s about processing data. Effective defense requires ingesting, normalizing, and correlating telemetry across every layer of the enterprise: endpoints, cloud workloads, SaaS platforms, identity systems, and external intelligence feeds. When combined with AI-powered analytics, this data-driven approach transforms raw telemetry into actionable insights, allowing defenders to outpace attackers, rather than merely react, once an attack has been detected.

Cloud-Native Design: The Architecture That Scales

Traditional security information and event management (SIEM) systems and on-premises platforms struggle to meet the scale, flexibility, and speed required in modern hybrid environments. Cloud-native architectures, by contrast, offer elastic scalability that aligns directly with national digital transformation priorities across the GCC.

However, the scale of telemetry introduces new challenges. Global cloud storage volumes are projected to reach 100 zettabytes by the end of 2025. Storing and processing such massive datasets can quickly become prohibitively expensive — unless managed with modern design principles.

The solution lies in the security data lake: a unified, long-term, cloud-native repository capable of retaining years of structured and unstructured security data. Unlike legacy systems limited to weeks or months of visibility, a security data lake enables continuous historical analysis for threat hunting, compliance, and investigations.

Crucially, modern architectures decouple storage and compute. Instead of permanently allocating compute resources (as most legacy platforms do), serverless designs apply compute power only when needed, dramatically reducing cost while enabling faster analysis.

For example, by leveraging serverless infrastructure on Amazon Web Services (AWS), Anomali enables compute bursts across thousands of nodes, delivering correlations and searches up to 1,000 times faster, at a fraction of the cost of traditional solutions. This approach is particularly aligned to national resilience goals, where speed and efficiency are essential.

Real-Time Correlation at Petabyte Scale

Today’s attackers automate their reconnaissance, probing continuously for vulnerabilities across every layer of the enterprise. To keep pace, organizations must reduce detection time and response costs, which demands real-time correlation across petabytes of data.

By integrating telemetry from multiple domains — including firewalls, endpoints, SaaS platforms, identity providers, and threat intelligence — organizations gain visibility into attacks that no single control would detect alone. For GCC enterprises expanding hybrid and multi-cloud infrastructures, the ability to correlate across these diverse sources in real time is mission-critical.

AI Delivers Context, Not Just Alerts

Artificial intelligence is now widely marketed in cybersecurity, but much of it offers opaque conclusions without transparency — effectively adding noise rather than clarity.

True AI-powered defense must provide explainability. Anomali applies chain-of-thought (CoT) AI reasoning, ensuring every detection includes the rationale, evidence, and audit trail behind each decision. This transparency builds analyst confidence and accelerates skill development, particularly valuable as GCC nations continue building local cybersecurity talent and operational maturity.

Intelligence Closes the Gaps Left by Controls

Even with modern defenses in place, critical gaps remain. Studies show that many endpoint detection and response (EDR) solutions still miss up to 30% of advanced threats, thanks to sophisticated evasion techniques, configuration gaps, or partial visibility. Firewalls suffer similar challenges: misconfigurations and limited context allow adversaries to slip past perimeter defenses.

This is where intelligence plays a decisive role. By unifying diverse telemetry and correlating billions of daily security events, modern security analytics platforms fill these blind spots, delivering full-spectrum detection across hybrid environments. For critical infrastructure, financial institutions, and government entities in the GCC, closing these gaps is no longer optional — it is a resilience imperative.

Agentless, Serverless, Effortless

Managing thousands of endpoint agents introduces complexity, operational risk, and resource overhead. Cloud-native platforms eliminate much of this friction by integrating directly with cloud platforms, SaaS services, and enterprise infrastructure via secure APIs, allowing telemetry ingestion without deploying additional agents.

For organizations balancing hybrid complexity with cloud-first strategies, agentless deployment models dramatically simplify operations — enabling faster rollout, lower risk, and greater agility.

Why the GCC Is Uniquely Positioned to Lead

The UAE, Saudi Arabia, and neighboring GCC nations are investing heavily in smart cities, digital economies, and next-generation public services. These national ambitions require security platforms that are scalable, adaptive, intelligent, and capable of evolving alongside rapid technological change.

Cloud-native, AI-powered, intelligence-driven security operations are no longer a distant vision but an operational necessity. By embracing these architectures, GCC enterprises and governments are positioned not only to meet today’s security demands, but to set a global standard for the future of cyber defense.

The time to shift from fragmented controls to unified intelligence is now. The future of security isn’t about deploying more tools — it’s about building smarter platforms.

And the GCC is ready.

Wei Huang is the Chief Technology Officer at Anomali, a global leader in intelligence-driven cybersecurity solutions.

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Tech Features

Shure’s Growth Story in the Middle East and Beyond

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Shure Axient Digital PSM

As the region accelerates its digital and cultural transformation, professional audio will only grow in importance.

By Yassine Mannai, Associate Director Sales, Shure MEA

A portrait of Yassine Mannai, associate director sales, Shure MEA
Yassine Mannai, Associate Director Sales, Shure MEA

The Middle East and Africa (MEA) region is witnessing an extraordinary moment of profound transformation as nations continue to reimagine their respective economies. Cities across this vibrant region are increasingly positioning themselves as global hubs, anchored on rapid technological shifts. From national diversification agendas such as Saudi Arabia’s Vision 2030 to the UAE’s expanding cultural economy and Africa’s urbanization, the region is rethinking how it communicates, collaborates, and entertains. Against this backdrop, professional audio integration has emerged as the key enabler. Pro audio is no longer viewed as luxury; it has become a strategic pillar of productivity, culture, and trust.

For Shure, this represents fertile ground for growth. The company’s trajectory in the region is anchored on a clear multi-prong approach: sustainable value creation through localization, strong partnerships, and continuous education. Rather than chasing short-term wins, the focus is on building strong ecosystems where audio technology empowers organizations to achieve their ambitions.

A Partner in Regional Growth

Demand for professional audio is being fueled by three key drivers. First, the large-scale investments in infrastructure and cultural projects trend in the region is creating an appetite for reliable, scalable audio solutions. Second, with hybrid work and learning still active, audio systems now serve as must-have tools for collaboration, ensuring clarity and engagement. Third, the entertainment and events industry continues to flourish, with audiences expecting immersive sound experiences with emotional connection.

Shure’s presence in conferences, cultural centers, and classrooms underscores its adaptability. By aligning closely with each sector’s needs, the company is not just supplying equipment – it is shaping how people experience communication and culture. Providing the ultimate IT and meeting room solutions is one thing, ensuring that end-user requirements in meeting spaces are consistently met is where the rubber meets the road, which makes factors such as quality, form factor, and smart solutions that leverage technology for seamless integration crucial.

A Strategy Anchored on Three Pillars

Shure’s growth blueprint rests on localization, partnerships, and education.

  • Localization ensures that global standards are adapted to regional requirements. A broadcaster in Abu Dhabi may demand wireless mobility, while a university in Riyadh seeks scalable, user-friendly systems. Meeting these nuanced needs requires agility and customization.
  • Partnerships with distributors, integrators, and resellers expand reach and sustain service excellence. These trusted relationships are critical to delivering value on the ground.
  • Education equips professionals with the right skills to maximize technology investments. Through training initiatives, Shure empowers AV specialists to deploy and maintain systems effectively, ensuring customers achieve long-term returns.

Technology and Innovation at the Forefront

We strongly believe that the future of audio in the region will be shaped by three defining trends.

  • Immersive experiences are becoming a cultural norm, and audio must now create impact as much as it delivers clarity.
  • AI and intelligent systems are moving from concept to reality making adaptive audio that responds to its environment the way to go.
  • Hybrid environments will remain central to work and education even as physical and virtual interactions merge with audio determining whether collaboration succeeds or fails.

A century of sound, a future of possibility

This year, Shure marks its 100-year anniversary. Few technology brands reach such a milestone, and fewer still do so with their reputation for quality and trust intact. For customers and partners in MEA and beyond, the centennial is not merely a celebration of heritage. It is a reassurance that Shure’s next century will be guided by the same principles that made it a global leader – with innovation, reliability, and customer focus at the core.

As the region accelerates its digital and cultural transformation, professional audio will only grow in importance. For IT leaders, this means viewing sound not as an afterthought, but as a strategic layer of infrastructure – one that underscores effective communication, collaboration, and connection.

Shure’s growth story is far from complete. The company’s next chapter is being written in partnership with the region’s institutions and enterprises. And in an age where voices need to be heard clearly across physical and digital spaces, Shure’s mission remains simple: to deliver sound that empowers progress.

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