Episode 07 From Search To Product Discovery How AI Is Transforming ECommerce
HTC TechWave Welcome to HTC TechWave your go-to podcast for exploring the future of technology. Join us as our industry experts discuss innovative solutions, emerging trends, and the tech transformations shaping businesses and industries across the globe. Today’s e-commerce isn’t just about finding products—it’s about knowing your customers in real time. In this episode of HTC Tech Wave, Adnan Saulat (HTC Global Services & HTC Next) and Thomas Buffery (Crownpeak) explore how AI-powered product discovery platforms are redefining digital retail. From intelligent ranking and affinity scoring to curated merchandising and visual recommendations, AI is powering everything—from search and navigation to personalization and performance. Learn how modern platforms blend rule-based control with AI automation, adapt to local stock dynamics, and optimize for loyalty and return reduction. Throw GenAI into the mix, and you unlock conversational search, product-query embeddings, and smarter segmentation—even empowering store associates with on-demand insights. And here’s the advantage: HTC brings the implementation expertise to activate this AI journey—seamlessly, scalably, and swiftly. Tune in now. Discover how HTC and Crownpeak are shaping the future of product discovery—together. Download Transcript Insights you can trust Podcasts Episode 1: How enterprises can strategically prepare for AI integration AI integration presents a range of challenges for businesses, from compatibility with legacy systems to ensuring ethical practices and overcoming scalability issues. Learn more Blog Unleashing the potential of XAI: Maximizing GenAI benefits and reducing risks AI has permeated every part of our lives, evolving from recognizing patterns to achieving human efficiency. Treading deeper into the AI landscape, generative AI (GenAI) has become the new normal, reshaping every industry. Learn more Blog The Generative AI Evolution: Emerging Trends and Applications Across Industries All industry use cases and market predictions point in the direction of AI-driven contact centers — as the next strategic step for boosting agent productivity, supercharging customer experience, and increasing operational efficiency. Learn more Blog The Generative AI Evolution: Emerging Trends and Applications Across Industries Generative AI (GenAI) has expanded the horizons of innovation and challenged us to rethink the potential of workflows, efficiency, and intelligence. Learn more Blog Navigating beyond Generative AI: The dawn of hyper-intelligent systems In the past year, Generative AI (GenAI) has emerged as one of the most remarkable breakthroughs, triggering a transformative wave across the global economic and IT landscape. Learn more Blog Top Emerging Trends for AI Platforms in 2024 and Beyond In this age and probably in the next century, artificial intelligence (AI) will be the cornerstone for futuristic enterprises seeking to make an impact. Learn more Blog Unraveling the tapestry: The imperative of human valuation in guiding LLM’s decision-making In the dynamic landscape of artificial intelligence, Large Language Models (LLMs) stand as formidable entities, capable of processing vast amounts of information and making decisions that impact users. Learn more Brochure MAGE – Accelerate Your AI Journey The pressure is on. Every enterprise needs to be an AI-first organization. Yet, building formidable AI capabilities presents its own unique set of challenges. Learn more Blog Combining Low Code With Emerging AI Technologies: Can Users Truly Create Compelling Apps? Enterprises are no strangers to disruptions, with uncertainty lurking around every corner. In this dynamic environment, adaptability and resilience aren’t just admirable qualities but essential for business survival. Learn more Blog Boosting Speed And Efficiency: The Power Of Generative AI In Transforming Software Development The advent of Generative AI models had a significant impact across industries – but most importantly, it accelerated the mainstream adoption of automation, thus enhancing speed and productivity. Learn more Case Studies ENHANCING PRODUCTIVITY WITH PRECISION We prevented more than 80% of wrong supplier codes in its first iteration, enabling a global automobile company to optimize its production with AI and ML-led solutions. Learn more Case Studies EMPOWERING RESEARCHERS TO EXCEL We helped a large public research university in California build AI/ML-driven solutions for managing technical data. Learn more Case Studies REIMAGINING INTERACTIVE TRAINING We enabled a multinational mass media and entertainment conglomerate enhance its interactive training modules with a VR-based 360° solution. Learn more Case Studies ENABLING A TRANSFORMATIVE FNOL EXPERIENCE We enabled a 70% reduction in the turnaround time for auto claims, helping the insurer reimagine claims intake with an AI-based FNOL solution. Learn more Blog AI BEYOND THE HYPE: WHY THIS IS TRULY A TRANSFORMATIVE MOMENT FOR TECHNOLOGY AI has been envisioned as a business multiplier for decades, but its adoption has only recently gained pace. Learn more Blog GENERATIVE AI’S TRUE OPPORTUNITY IN RETAIL The retail industry is rapidly adopting Machine Learning, Computer Vision AI, and smarter AI-led solutions to enhance customer experiences, drive supply chain optimization, smarter in-store operations, and more. Generative AI, however, can help them achieve more. Learn more Blog COMBINING GENERATIVE AI WITH AUTOMATION AND APIS: REALIZING AI AT SCALE Generative AI models and similar architectures are known for their impressive and versatile features. These models have revolutionized natural language understanding and generation. Learn more Brochure BUILDING AI-FIRST ENTERPRISES – EXPLORE HTCNXT AI-powered solutions are helping businesses gain deeper insights to make data-driven decisions with enhanced precision. Learn more
The Rise Of Agentic AI In Business Transformation
The Rise Of Agentic AI In Business Transformation Follow on: The rise of Agentic AI in business transformation Imagine a world where business operations don’t just run on predefined scripts but adapt dynamically—where systems anticipate challenges, make independent decisions, and execute tasks with minimal human oversight. This is not a distant future scenario but present-day reality powered by Agentic AI, a transformative technology that is redefining enterprise automation. Unlike robotic process automation (RPA), which relies on predefined scripts and rule-based workflows, Agentic AI can autonomously analyze situations, formulate plans, and execute tasks—mimicking human-like cognitive abilities. But Agentic AI moves beyond automating repetitive tasks to enable machines to make decisions, learn from experience, and collaborate seamlessly with humans and other systems. This shift marks a turning point in how businesses integrate AI into their workflows. A recent report by Gartner revealed that 55% of organizations are either piloting or have already deployed generative AI solutions. This new wave of AI is redefining enterprise automation, improving efficiency, and scaling operations with minimal human oversight. With AI-first organizations already witnessing significant efficiency gains through autonomous AI-driven decision-making, the question is no longer whether businesses should adopt Agentic AI but how quickly they can integrate it into their transformation roadmap. A shift from rule-based execution to adaptive intelligence For all its success, RPA remains inherently limited—its reliance on hard-coded rules and structured data limits its effectiveness in complex, dynamic environments. As a result, businesses that once leaned heavily on RPA are now hitting a ceiling—their automation strategies unable to keep up with the pace of operational change. RPA is insufficient for handling complex workflows, leading to inefficiencies and increased operational costs. Agentic AI breaks through these constraints by moving beyond scripted automation. According to a report by Gartner, by 2028, 33% of enterprise software applications will include agentic AI. Instead of requiring manual intervention for every process variation, AI agents autonomously interpret context, anticipate needs, and make real-time decisions. For example, an AI agent in a financial institution can monitor market trends, predict risks, and execute trades within seconds—something traditional RPA simply cannot achieve. More importantly, Agentic AI fosters collaboration between AI agents and human teams, ensuring automation enhances human intelligence rather than replacing it. This shift from passive automation to intelligent decision-making is what makes Agentic AI a critical component of modern enterprise transformation. Key attributes that set Agentic AI apart include: Autonomous planning and execution – AI agents define goals, strategize, and execute tasks independently, eliminating the need for human intervention. Continuous learning and adaptation – These systems retain memory, analyze past interactions, and improve over time, ensuring they stay relevant as business conditions evolve. Multi-agent collaboration – Unlike RPA, which works in isolation, Agentic AI collaborates seamlessly with other AI systems and human teams, optimizing workflows dynamically. Real-time decision-making – By processing live data from multiple sources, AI agents make informed decisions instantly, responding to market shifts, operational changes, and customer needs in real time. HTC MAiGE Agentic AI: A modular approach to autonomous automation Despite its potential, many businesses struggle with the complexity of AI implementation. To bridge this gap, MAiGE Agentic AI offers a modular, enterprise-ready framework designed to replace traditional RPA with self-learning AI agents. Unlike conventional automation systems that require constant human intervention, MAiGE enables businesses to deploy intelligent AI-driven workflows that continuously evolve based on real-time data. This reduces development costs, shortens implementation timelines, and extends automation coverage beyond rule-based tasks. Key components of MAiGE that drive intelligent automation include: Agent management – Dynamically orchestrates AI-driven workflows, eliminating the rigidity of traditional RPA bots. Tool integration – Seamlessly connects AI agents with enterprise applications, APIs, and cloud ecosystems, ensuring system-wide adaptability. Memory and learning – Retains historical context, allowing AI to self-optimize without requiring repetitive reprogramming. Planning and reasoning – Enables AI agents to analyze objectives, strategize solutions, and execute multi-step tasks proactively. Security and compliance – Ensures AI operations adhere to evolving regulatory and governance standards, reducing compliance risks. Performance benchmarking – Monitors AI-driven automation efficiency in real time, continuously refining execution strategies. Reshaping enterprise automation with Agentic AI The impact of Agentic AI extends far beyond simple process automation. AI-driven agents are already transforming industries, not just by automating tasks but by enhancing strategic decision-making, optimizing workflows, and creating new opportunities for efficiency. Across industries, Agentic AI is driving real-time, intelligent business decisions at scale. Some of its most impactful applications include: Customer service – AI-driven virtual agents autonomously resolve inquiries, reducing response times and lowering support costs. AI-powered virtual assistants are moving beyond scripted responses. They analyze customer sentiment, predict intent, and resolve issues proactively—improving resolution times while enhancing customer satisfaction. Finance & banking – AI-enabled fraud detection and risk assessment models improve security and operational efficiency. AI agents dynamically assess risk, detect fraud in real time, and make split-second trading decisions, providing an edge that traditional automation could never deliver. Healthcare – Intelligent AI agents automate patient scheduling, medical record analysis, and administrative workflows. AI is streamlining everything from patient management to diagnostics, helping medical professionals focus on higher-value care rather than administrative burdens. Retail & supply chain – AI optimizes inventory management, demand forecasting, and logistics automation. Agentic AI is revolutionizing operations by predicting demand fluctuations, optimizing logistics, and enabling predictive maintenance, reducing downtime and improving overall efficiency. Manufacturing – Predictive maintenance powered by AI minimizes downtime, enhances production efficiency, and reduces operational costs. AI-driven predictive maintenance systems are reducing downtime and optimizing production schedules, eliminating inefficiencies that previously required manual oversight. Accelerating transformation: Why enterprises are moving beyond RPA The shift from pre-scripted automation to intelligent, adaptive AI-driven workflows is no longer optional—it is a competitive necessity. Traditional RPA requires constant updates and maintenance, whereas Agentic AI eliminates this bottleneck by continuously learning and adapting. With AI-powered decision-making, businesses can respond faster to market changes, customer demands, and operational disruptions. This real-time adaptability ensures that enterprises remain competitive in an increasingly digital economy. For enterprises considering the shift, the
AI Copilots: Your Intelligent Partner In The Future Of Work
AI Copilots: Your Intelligent Partner In The Future Of Work Follow on: AI copilots—intelligent, adaptive assistants—are gaining enterprise attention. Not replacing humans, but enhancing productivity, streamlining processes, and enabling seamless human-machine collaboration. So, what’s happening in the Copilot world today? AI copilots are already transforming industries, making a tangible difference in: Software Development – GitHub Copilot suggests code snippets, helping developers write faster and with fewer errors. Customer Service – AI copilots provide instant responses, enhancing customer interactions. Healthcare – AI assists doctors with diagnoses and treatment plans, improving patient outcomes. Finance & Data Analysis – AI copilots summarize reports, extract insights, and enhance decision-making. With great power comes great responsibility. Organizations must address: Data Privacy & Security – Protecting sensitive information in AI-driven processes. Bias & Transparency – Ensuring AI is trained responsibly. Human Oversight – AI should augment decisions, not replace human expertise. We can help you accelerate your Copilot Journey—from strategy to implementation—so you can harness AI’s full potential while staying secure, ethical, and efficient. Start your journey today! Listen to our recent Podcast , where Rajeev Bhuvaneswaran, VP of Digital Transformation & Innovation Services, takes the mic and shares deeper insights on AI Copilots. SUBJECT TAGS #HTCNXT #EnterpriseAI #AICopilot #ArtificialIntelligence
AI In Marketing Seeking Deeper Customer Connect – Part 2
HTC TechWave Welcome to HTC TechWave your go-to podcast for exploring the future of technology. Join us as our industry experts discuss innovative solutions, emerging trends, and the tech transformations shaping businesses and industries across the globe. Ready for more? Let’s go! If Part 1 got you thinking, Part 2 is about to take it up a notch. Amit Tyagi is back, diving even deeper into AI’s game-changing role in marketing. We’ve talked hyper-personalization, automation, and that fine balance between AI and the human touch. But what’s next? How is AI reshaping customer engagement, influencing purchasing decisions, and redefining brand experiences? This episode unpacks it all—how AI-powered predictive recommendations, real-time decision-making, and behavioral nudges are transforming the way consumers connect with brands. From hyper-personalized experiences to AI-generated content that feels almost human, Amit explores where AI ends and creativity begins. And then—the big myths. Will AI replace human marketers? Does it kill creativity? Can it truly understand human emotions? Amit separates fact from fiction, breaking down how businesses can harness AI without losing trust, transparency, or that irreplaceable human touch. Hit play and discover how AI is shaping the future of marketing! Download Transcript Insights you can trust Podcasts Episode 1: How enterprises can strategically prepare for AI integration AI integration presents a range of challenges for businesses, from compatibility with legacy systems to ensuring ethical practices and overcoming scalability issues. Learn more Blog Unleashing the potential of XAI: Maximizing GenAI benefits and reducing risks AI has permeated every part of our lives, evolving from recognizing patterns to achieving human efficiency. Treading deeper into the AI landscape, generative AI (GenAI) has become the new normal, reshaping every industry. Learn more Blog The Generative AI Evolution: Emerging Trends and Applications Across Industries All industry use cases and market predictions point in the direction of AI-driven contact centers — as the next strategic step for boosting agent productivity, supercharging customer experience, and increasing operational efficiency. Learn more Blog The Generative AI Evolution: Emerging Trends and Applications Across Industries Generative AI (GenAI) has expanded the horizons of innovation and challenged us to rethink the potential of workflows, efficiency, and intelligence. Learn more Blog Navigating beyond Generative AI: The dawn of hyper-intelligent systems In the past year, Generative AI (GenAI) has emerged as one of the most remarkable breakthroughs, triggering a transformative wave across the global economic and IT landscape. Learn more Blog Top Emerging Trends for AI Platforms in 2024 and Beyond In this age and probably in the next century, artificial intelligence (AI) will be the cornerstone for futuristic enterprises seeking to make an impact. Learn more Blog Unraveling the tapestry: The imperative of human valuation in guiding LLM’s decision-making In the dynamic landscape of artificial intelligence, Large Language Models (LLMs) stand as formidable entities, capable of processing vast amounts of information and making decisions that impact users. Learn more Brochure MAGE – Accelerate Your AI Journey The pressure is on. Every enterprise needs to be an AI-first organization. Yet, building formidable AI capabilities presents its own unique set of challenges. Learn more Blog Combining Low Code With Emerging AI Technologies: Can Users Truly Create Compelling Apps? Enterprises are no strangers to disruptions, with uncertainty lurking around every corner. In this dynamic environment, adaptability and resilience aren’t just admirable qualities but essential for business survival. Learn more Blog Boosting Speed And Efficiency: The Power Of Generative AI In Transforming Software Development The advent of Generative AI models had a significant impact across industries – but most importantly, it accelerated the mainstream adoption of automation, thus enhancing speed and productivity. Learn more Case Studies ENHANCING PRODUCTIVITY WITH PRECISION We prevented more than 80% of wrong supplier codes in its first iteration, enabling a global automobile company to optimize its production with AI and ML-led solutions. Learn more Case Studies EMPOWERING RESEARCHERS TO EXCEL We helped a large public research university in California build AI/ML-driven solutions for managing technical data. Learn more Case Studies REIMAGINING INTERACTIVE TRAINING We enabled a multinational mass media and entertainment conglomerate enhance its interactive training modules with a VR-based 360° solution. Learn more Case Studies ENABLING A TRANSFORMATIVE FNOL EXPERIENCE We enabled a 70% reduction in the turnaround time for auto claims, helping the insurer reimagine claims intake with an AI-based FNOL solution. Learn more Blog AI BEYOND THE HYPE: WHY THIS IS TRULY A TRANSFORMATIVE MOMENT FOR TECHNOLOGY AI has been envisioned as a business multiplier for decades, but its adoption has only recently gained pace. Learn more Blog GENERATIVE AI’S TRUE OPPORTUNITY IN RETAIL The retail industry is rapidly adopting Machine Learning, Computer Vision AI, and smarter AI-led solutions to enhance customer experiences, drive supply chain optimization, smarter in-store operations, and more. Generative AI, however, can help them achieve more. Learn more Blog COMBINING GENERATIVE AI WITH AUTOMATION AND APIS: REALIZING AI AT SCALE Generative AI models and similar architectures are known for their impressive and versatile features. These models have revolutionized natural language understanding and generation. Learn more Brochure BUILDING AI-FIRST ENTERPRISES – EXPLORE HTCNXT AI-powered solutions are helping businesses gain deeper insights to make data-driven decisions with enhanced precision. Learn more
AI Transformation: A Strategic Roadmap For Enterprises
AI Transformation: A Strategic Roadmap For Enterprises Follow on: Nearly half (49%) of technology leaders in PwC’s October 2024 Pulse Survey report that AI is now “fully integrated” into their core business strategies. This statistic underscores the growing importance of AI as a cornerstone of modern business transformation. However, while its potential is immense, the journey to AI integration is far from straightforward. Enterprises face challenges ranging from aligning AI initiatives with business goals to addressing ethical concerns and legacy constraints. Drawing from insights shared by Sudheer Kotagiri, Senior Vice President of Data and AI at HTCNXT, in a recent podcast, here’s a roadmap to navigating the AI revolution. AI Landscape & Emerging Trends: The Future Is Now AI is transforming industries at scale—optimizing pricing, inventory, and customer engagement in retail; improving diagnostics and personalized treatment in healthcare; and enhancing underwriting, fraud detection, and claims in insurance. Notably, Generative AI is a game-changer, reshaping everything from marketing to customer service. Powered by cloud-based large language models (LLMs), businesses are embedding AI into daily operations, automating tasks, cutting costs, and delivering hyper-personalized outcomes. Best Practices for Strategic AI Integration Here’s the catch—AI’s transformative power isn’t a plug-and-play solution. Enterprises must think strategically to harness its full potential. The key lies in aligning AI initiatives with real business objectives. Listen to the podcast as Sudheer shares a secret sauce: start small. Pilot projects, he suggests, are the perfect testing ground to minimize risks, gather insights, and pave the way for scaling AI successfully. Investing in the right talent, designating leadership roles, and fostering collaboration across departments are also critical steps. Yet, the biggest roadblock isn’t always technology—it’s failing to adopt responsible AI practices. Addressing the Challenges of AI Integration AI integration isn’t without its hurdles. Legacy systems, incompatible data formats, and security challenges like navigating compliance with regulations such as GDPR can stall progress. But here’s where the podcast gets interesting—Sudheer dives deep into overcoming these obstacles. From investing in scalable cloud infrastructure to streamlining data integration and safeguarding sensitive data against cyber threats, it’s all about proactive planning. AI adoption also demands embracing a culture of experimentation, breaking down silos, and fostering a shift in mindset at every level, with leadership playing a pivotal role in sustaining momentum and keeping innovation at the heart of the enterprise. A Wrap For Now – But the Journey Continues in the Podcast AI is the ultimate disruptor, but it takes more than ambition to harness its potential. The enterprises that get it right are those that balance strategy, innovation, and ethics. At HTCNXT, we enable businesses to do exactly that—delivering frameworks that go beyond adoption to measurable success. What’s the missing link in your AI strategy? Don’t just wonder—discover it. Tap into Sudheer Kotagiri’s exclusive insights on mastering AI integration. Listen to the podcast and connect with us to turn your AI ambitions into measurable success.
Episode 05: AI In Marketing Seeking Deeper Customer Connect Part 1
HTC TechWave Welcome to HTC TechWave your go-to podcast for exploring the future of technology. Join us as our industry experts discuss innovative solutions, emerging trends, and the tech transformations shaping businesses and industries across the globe. Marketing has always been about understanding the customer. With AI in the mix, we’re not just understanding—we’re predicting, personalizing, and reshaping engagement at every touchpoint. From hyper-personalized experiences to real-time campaign optimization, AI is enabling brands to build deeper, more intuitive connections. So, how is your team keeping up? In this part 1/2 episode of HTC TechWave, our seasoned and perceptive CMO, Amit Tyagi, unpacks how AI helps businesses seek deeper customer connect and rewrite marketing strategies. He dives into Generative AI, multimodal content, NLP, and predictive analytics, revealing how they’re redefining creativity, customer engagement, and automation. From AI-driven chatbots and voice assistants to emotion AI and campaign automation, Amit shares valuable insights on how businesses are leveraging cutting-edge technology to enhance customer experiences and drive results. But with AI’s limitless potential come real-world challenges—choosing the right tech, bridging skill gaps, balancing cost vs. ROI, and staying compliant in an evolving landscape are crucial, he concludes. If you’ve ever wondered whether AI is making marketing more mechanical or more meaningful, don’t miss this episode—and stay tuned for even more exciting insights in Part 2!. Catch this AI-awesome discussion! Download Transcript Insights you can trust Podcasts Episode 1: How enterprises can strategically prepare for AI integration AI integration presents a range of challenges for businesses, from compatibility with legacy systems to ensuring ethical practices and overcoming scalability issues. Learn more Blog Unleashing the potential of XAI: Maximizing GenAI benefits and reducing risks AI has permeated every part of our lives, evolving from recognizing patterns to achieving human efficiency. Treading deeper into the AI landscape, generative AI (GenAI) has become the new normal, reshaping every industry. Learn more Blog The Generative AI Evolution: Emerging Trends and Applications Across Industries All industry use cases and market predictions point in the direction of AI-driven contact centers — as the next strategic step for boosting agent productivity, supercharging customer experience, and increasing operational efficiency. Learn more Blog The Generative AI Evolution: Emerging Trends and Applications Across Industries Generative AI (GenAI) has expanded the horizons of innovation and challenged us to rethink the potential of workflows, efficiency, and intelligence. Learn more Blog Navigating beyond Generative AI: The dawn of hyper-intelligent systems In the past year, Generative AI (GenAI) has emerged as one of the most remarkable breakthroughs, triggering a transformative wave across the global economic and IT landscape. Learn more Blog Top Emerging Trends for AI Platforms in 2024 and Beyond In this age and probably in the next century, artificial intelligence (AI) will be the cornerstone for futuristic enterprises seeking to make an impact. Learn more Blog Unraveling the tapestry: The imperative of human valuation in guiding LLM’s decision-making In the dynamic landscape of artificial intelligence, Large Language Models (LLMs) stand as formidable entities, capable of processing vast amounts of information and making decisions that impact users. Learn more Brochure MAGE – Accelerate Your AI Journey The pressure is on. Every enterprise needs to be an AI-first organization. Yet, building formidable AI capabilities presents its own unique set of challenges. Learn more Blog Combining Low Code With Emerging AI Technologies: Can Users Truly Create Compelling Apps? Enterprises are no strangers to disruptions, with uncertainty lurking around every corner. In this dynamic environment, adaptability and resilience aren’t just admirable qualities but essential for business survival. Learn more Blog Boosting Speed And Efficiency: The Power Of Generative AI In Transforming Software Development The advent of Generative AI models had a significant impact across industries – but most importantly, it accelerated the mainstream adoption of automation, thus enhancing speed and productivity. Learn more Case Studies ENHANCING PRODUCTIVITY WITH PRECISION We prevented more than 80% of wrong supplier codes in its first iteration, enabling a global automobile company to optimize its production with AI and ML-led solutions. Learn more Case Studies EMPOWERING RESEARCHERS TO EXCEL We helped a large public research university in California build AI/ML-driven solutions for managing technical data. Learn more Case Studies REIMAGINING INTERACTIVE TRAINING We enabled a multinational mass media and entertainment conglomerate enhance its interactive training modules with a VR-based 360° solution. Learn more Case Studies ENABLING A TRANSFORMATIVE FNOL EXPERIENCE We enabled a 70% reduction in the turnaround time for auto claims, helping the insurer reimagine claims intake with an AI-based FNOL solution. Learn more Blog AI BEYOND THE HYPE: WHY THIS IS TRULY A TRANSFORMATIVE MOMENT FOR TECHNOLOGY AI has been envisioned as a business multiplier for decades, but its adoption has only recently gained pace. Learn more Blog GENERATIVE AI’S TRUE OPPORTUNITY IN RETAIL The retail industry is rapidly adopting Machine Learning, Computer Vision AI, and smarter AI-led solutions to enhance customer experiences, drive supply chain optimization, smarter in-store operations, and more. Generative AI, however, can help them achieve more. Learn more Blog COMBINING GENERATIVE AI WITH AUTOMATION AND APIS: REALIZING AI AT SCALE Generative AI models and similar architectures are known for their impressive and versatile features. These models have revolutionized natural language understanding and generation. Learn more Brochure BUILDING AI-FIRST ENTERPRISES – EXPLORE HTCNXT AI-powered solutions are helping businesses gain deeper insights to make data-driven decisions with enhanced precision. Learn more
Episode 04: AI’s Impact on Customer Experience – Part 2
HTC TechWave Welcome to HTC TechWave your go-to podcast for exploring the future of technology. Join us as our industry experts discuss innovative solutions, emerging trends, and the tech transformations shaping businesses and industries across the globe. The wait is over! Part 2 of our AI experts Adnan Saulat and Shammo Ghosh’s enlightening conversation on AI’s transformative impact on customer experience is here, brimming with even more game-changing insights. In this episode, they dive deep into the evolution of customer interactions, with a special focus on trust, responsible AI deployment, and how AI’s integration into industries like insurance, travel, and retail will play out, reimagining CX in the future. Listen in as they also explore the balance between automation and the human touch, taking you from theory to deployable use cases of AI across industries. Don’t miss the exciting discussion on how it might all race toward sci-fi-esque, AI-driven customer touchpoints—sensory and gesture-based interactions powered by human signals, eye movements, facial recognition, and innovative wearable sensors, all set to redefine engagement. This episode is not to be missed. Tune in for a thought-provoking conversation on how AI is driving a more efficient, personalized world! Download Transcript Insights you can trust Podcasts Episode 1: How enterprises can strategically prepare for AI integration AI integration presents a range of challenges for businesses, from compatibility with legacy systems to ensuring ethical practices and overcoming scalability issues. Learn more Blog Unleashing the potential of XAI: Maximizing GenAI benefits and reducing risks AI has permeated every part of our lives, evolving from recognizing patterns to achieving human efficiency. Treading deeper into the AI landscape, generative AI (GenAI) has become the new normal, reshaping every industry. Learn more Blog The Generative AI Evolution: Emerging Trends and Applications Across Industries All industry use cases and market predictions point in the direction of AI-driven contact centers — as the next strategic step for boosting agent productivity, supercharging customer experience, and increasing operational efficiency. Learn more Blog The Generative AI Evolution: Emerging Trends and Applications Across Industries Generative AI (GenAI) has expanded the horizons of innovation and challenged us to rethink the potential of workflows, efficiency, and intelligence. Learn more Blog Navigating beyond Generative AI: The dawn of hyper-intelligent systems In the past year, Generative AI (GenAI) has emerged as one of the most remarkable breakthroughs, triggering a transformative wave across the global economic and IT landscape. Learn more Blog Top Emerging Trends for AI Platforms in 2024 and Beyond In this age and probably in the next century, artificial intelligence (AI) will be the cornerstone for futuristic enterprises seeking to make an impact. Learn more Blog Unraveling the tapestry: The imperative of human valuation in guiding LLM’s decision-making In the dynamic landscape of artificial intelligence, Large Language Models (LLMs) stand as formidable entities, capable of processing vast amounts of information and making decisions that impact users. Learn more Brochure MAGE – Accelerate Your AI Journey The pressure is on. Every enterprise needs to be an AI-first organization. Yet, building formidable AI capabilities presents its own unique set of challenges. Learn more Blog Combining Low Code With Emerging AI Technologies: Can Users Truly Create Compelling Apps? Enterprises are no strangers to disruptions, with uncertainty lurking around every corner. In this dynamic environment, adaptability and resilience aren’t just admirable qualities but essential for business survival. Learn more Blog Boosting Speed And Efficiency: The Power Of Generative AI In Transforming Software Development The advent of Generative AI models had a significant impact across industries – but most importantly, it accelerated the mainstream adoption of automation, thus enhancing speed and productivity. Learn more Case Studies ENHANCING PRODUCTIVITY WITH PRECISION We prevented more than 80% of wrong supplier codes in its first iteration, enabling a global automobile company to optimize its production with AI and ML-led solutions. Learn more Case Studies EMPOWERING RESEARCHERS TO EXCEL We helped a large public research university in California build AI/ML-driven solutions for managing technical data. Learn more Case Studies REIMAGINING INTERACTIVE TRAINING We enabled a multinational mass media and entertainment conglomerate enhance its interactive training modules with a VR-based 360° solution. Learn more Case Studies ENABLING A TRANSFORMATIVE FNOL EXPERIENCE We enabled a 70% reduction in the turnaround time for auto claims, helping the insurer reimagine claims intake with an AI-based FNOL solution. Learn more Blog AI BEYOND THE HYPE: WHY THIS IS TRULY A TRANSFORMATIVE MOMENT FOR TECHNOLOGY AI has been envisioned as a business multiplier for decades, but its adoption has only recently gained pace. Learn more Blog GENERATIVE AI’S TRUE OPPORTUNITY IN RETAIL The retail industry is rapidly adopting Machine Learning, Computer Vision AI, and smarter AI-led solutions to enhance customer experiences, drive supply chain optimization, smarter in-store operations, and more. Generative AI, however, can help them achieve more. Learn more Blog COMBINING GENERATIVE AI WITH AUTOMATION AND APIS: REALIZING AI AT SCALE Generative AI models and similar architectures are known for their impressive and versatile features. These models have revolutionized natural language understanding and generation. Learn more Brochure BUILDING AI-FIRST ENTERPRISES – EXPLORE HTCNXT AI-powered solutions are helping businesses gain deeper insights to make data-driven decisions with enhanced precision. Learn more
Fact vs myth: Is there scope for investment in GenAI?
Fact vs myth: Is there scope for investment in GenAI? Follow on: Today, every business discussion leads to GenAI. We are, after all, reading about newer, bolder, and bigger investments in this innovative technology. Just last year, Microsoft reportedly invested $10bn in ChatGPT developer OpenAI for a ~35% stake. Again, in April, PE investors like Andreessen Horowitz and Sequoia Capital put an additional US$300 mn into the AI research company. Other than these hyperscalers and investment companies, even smaller companies seem to be betting big on GenAI. A BCG survey reveals that global executives prioritize artificial intelligence (AI) and generative AI (GenAI) in their tech investments. While 71% plan to increase overall tech spending in 2024, a staggering 85% will specifically boost their AI and GenAI budgets. Interestingly, businesses and PEs are not the only parties looking to invest in GenAI. Many governments tend to allocate a significant portion of their annual budget to GenAI research and studies. For instance, the Icelandic government has partnered with OpenAI to preserve its native language. Saudi Arabia has also recently revealed its plan to invest more than $40 bn in GenAI. This fervor around GenAI falls perfectly in line with the Gartner Hype Cycle. We are at the steep log phase (incline) of the hype cycle supported by swift advancements of this technology. Amid all these significant investments, the concern about tangible ROI is also becoming part of the boardroom discussions. Many stakeholders are now pondering about the ROI they can expect. However, to answer their question, we need to first look at the actual implementations of GenAI at scale. Even though big investments are being made into this technology, the latest reports suggest nearly 90% of GenAI POC pilots won’t be in production soon — and some might even get scrapped before they can take off. So, it is too early to paint a clear picture of the long-term ROI. There also seem to be many considerations beyond just the financial calculations. Let’s break it down. You can’t predict what you can’t measure There’s no cookie-cutter approach to determining the return on GenAI investments. Why? Various entities are currently investing in GenAI technology, and they differ from each other in their goals, business use cases, and positions in the GenAI adoption journey. Naturally, the ROI measurement also varies for these entities. Here’s what it means: Most organizations appear to be at the very first step of the GenAI journey. They’re still weighing on different use cases to see which one fits their operational needs. Despite their willingness to invest in GenAI, these businesses don’t have a clear business case in mind. And if you look at this cohort, return on investment is not even a question for them at this point. The next group is those who have done the due diligence and created a specific business case for applying GenAI. Now, two interrelated factors are at play for these groups. First, many of these initiatives are undertaken due to the fear of missing out since many competitors are investing in GenAI. These initiatives are often CEO-led instead of being a CFO- or CIO-led one. So, there is no apparent financial decision on which to base these use cases, leading to the second factor – weak business cases. As a result, organizations in this category often stop at small-scale GenAI implementations. And since the main objective of this cohort is to stay relevant, the ROI really doesn’t matter to them. In the third category, we have organizations that have not only dipped their toes in the GenAI frenzy but also created successful POCs based on strong use cases. They have invested significantly in human resources and technology to build prototype solutions that seamlessly fit into the intended use cases. These businesses are now looking at scaling their GenAI solutions and rolling those out at an enterprise level. At their current stage, the ROI is less financial. It is measured in terms of productivity or efficiency gain. The financial ROI will become clear once they scale the GenAI solution and implement it organizationally. Finally, we have companies that have scaled their GenAI solution and put it into larger production. These businesses are in a position to see a return on their GenAI investment. But there are some challenges for them, too. The topmost is cost optimization. As businesses scale out their GenAI application, they will use more resources from the available LLM platforms, burning their bottom line. If the cost spirals out of control, it might overshadow the intended benefit. This situation is very similar to the whole cloud movement. The cloud journey had three parts. First, we had to decide which cloud to use through deep analysis and consulting. Then, we migrated to our preferred cloud services. Once the new cloud-based business model became the norm, we started looking at different strategies to optimize cost. The same applies to this whole GenAI situation. Your financial gains will become prominent as you mature in the journey, and cloud technology’s success is a testament to that. Pitfalls That said, there are some common pitfalls of GenAI implementation that many companies are losing momentum. Lack of strategic vision: Some companies might rush into GenAI without clearly understanding how it aligns with their business goals. This can lead to poorly defined projects that don’t deliver the expected value. Data silos and integration issues: If legacy systems are not well-integrated, they can create data silos that hinder the effectiveness of GenAI models relying on centralized and high-quality data. Resistance to change: Legacy company employees might resist adopting new AI-powered processes, obstructing the success of GenAI implementations. Focus on novelty over utility: Getting caught up in the GenAI hype and implementing flashy features that don’t solve real customer problems can lead to wasted resources. Overcoming these bottlenecks will require careful consideration of various factors beyond just cost and revenue. A long-term strategic approach that goes beyond traditional metrics and focuses on both short- and long-term as well
Episode 03: AI’s Impact on Customer Experience – Part 1
HTC TechWave Welcome to HTC TechWave your go-to podcast for exploring the future of technology. Join us as our industry experts discuss innovative solutions, emerging trends, and the tech transformations shaping businesses and industries across the globe. Wondering how AI is rewriting the rules of customer service? Tune in to the latest HTC TechWave Podcast, where Adnan Saulat and Shammo Ghosh break it all down in an engaging and insightful conversation. From AI-driven personalization to vision AI and agentic decision-making, they unpack how these transformative technologies are reshaping industries like insurance, travel, and retail. They also explore how AI is evolving from niche applications to becoming a powerhouse framework for smarter, seamless customer experiences. Plus, get a sneak peek into how HTCNXT, powered by our HTC MAiGE platform, is leading this transformation. This isn’t just tech talk—it’s real-world impact you can’t ignore. And the best part? This is only the beginning. Stay tuned for part 2—because the insights only get better from here! Download Transcript Insights you can trust Podcasts Episode 1: How enterprises can strategically prepare for AI integration AI integration presents a range of challenges for businesses, from compatibility with legacy systems to ensuring ethical practices and overcoming scalability issues. Learn more Blog Unleashing the potential of XAI: Maximizing GenAI benefits and reducing risks AI has permeated every part of our lives, evolving from recognizing patterns to achieving human efficiency. Treading deeper into the AI landscape, generative AI (GenAI) has become the new normal, reshaping every industry. Learn more Blog The Generative AI Evolution: Emerging Trends and Applications Across Industries All industry use cases and market predictions point in the direction of AI-driven contact centers — as the next strategic step for boosting agent productivity, supercharging customer experience, and increasing operational efficiency. Learn more Blog The Generative AI Evolution: Emerging Trends and Applications Across Industries Generative AI (GenAI) has expanded the horizons of innovation and challenged us to rethink the potential of workflows, efficiency, and intelligence. Learn more Blog Navigating beyond Generative AI: The dawn of hyper-intelligent systems In the past year, Generative AI (GenAI) has emerged as one of the most remarkable breakthroughs, triggering a transformative wave across the global economic and IT landscape. Learn more Blog Top Emerging Trends for AI Platforms in 2024 and Beyond In this age and probably in the next century, artificial intelligence (AI) will be the cornerstone for futuristic enterprises seeking to make an impact. Learn more Blog Unraveling the tapestry: The imperative of human valuation in guiding LLM’s decision-making In the dynamic landscape of artificial intelligence, Large Language Models (LLMs) stand as formidable entities, capable of processing vast amounts of information and making decisions that impact users. Learn more Brochure HTC MAiGE – Accelerate Your AI Journey The pressure is on. Every enterprise needs to be an AI-first organization. Yet, building formidable AI capabilities presents its own unique set of challenges. Learn more Blog Combining Low Code With Emerging AI Technologies: Can Users Truly Create Compelling Apps? Enterprises are no strangers to disruptions, with uncertainty lurking around every corner. In this dynamic environment, adaptability and resilience aren’t just admirable qualities but essential for business survival. Learn more Blog Boosting Speed And Efficiency: The Power Of Generative AI In Transforming Software Development The advent of Generative AI models had a significant impact across industries – but most importantly, it accelerated the mainstream adoption of automation, thus enhancing speed and productivity. Learn more Case Studies ENHANCING PRODUCTIVITY WITH PRECISION We prevented more than 80% of wrong supplier codes in its first iteration, enabling a global automobile company to optimize its production with AI and ML-led solutions. Learn more Case Studies EMPOWERING RESEARCHERS TO EXCEL We helped a large public research university in California build AI/ML-driven solutions for managing technical data. Learn more Case Studies REIMAGINING INTERACTIVE TRAINING We enabled a multinational mass media and entertainment conglomerate enhance its interactive training modules with a VR-based 360° solution. Learn more Case Studies ENABLING A TRANSFORMATIVE FNOL EXPERIENCE We enabled a 70% reduction in the turnaround time for auto claims, helping the insurer reimagine claims intake with an AI-based FNOL solution. Learn more Blog AI BEYOND THE HYPE: WHY THIS IS TRULY A TRANSFORMATIVE MOMENT FOR TECHNOLOGY AI has been envisioned as a business multiplier for decades, but its adoption has only recently gained pace. Learn more Blog GENERATIVE AI’S TRUE OPPORTUNITY IN RETAIL The retail industry is rapidly adopting Machine Learning, Computer Vision AI, and smarter AI-led solutions to enhance customer experiences, drive supply chain optimization, smarter in-store operations, and more. Generative AI, however, can help them achieve more. Learn more Blog COMBINING GENERATIVE AI WITH AUTOMATION AND APIS: REALIZING AI AT SCALE Generative AI models and similar architectures are known for their impressive and versatile features. These models have revolutionized natural language understanding and generation. Learn more Brochure BUILDING AI-FIRST ENTERPRISES – EXPLORE HTCNXT AI-powered solutions are helping businesses gain deeper insights to make data-driven decisions with enhanced precision. Learn more
Transforming Insurance Through GCP-Powered Data Virtualization and AI
Data is the new currency in the insurance world, but managing it across underwriting, claims, sales, and billing can feel like navigating a maze. How can you turn this challenge into a competitive edge? Introducing our white paper, which offers a clear, actionable roadmap featuring a 4-step strategy and a robust 3-phased implementation approach. With embedded security at every stage, it details how to seamlessly transition from traditional data management to agile, virtualized environments—powered by Google Cloud Platform (GCP). What You’ll Learn: How to leverage BigQuery to centralize your financial metrics for consistent, scalable reporting. The power of Data Virtualization for real-time insights with zero delays and no data replication. How to harness AI-powered glossaries to ensure all teams speak the same language with unified KPIs. What You Can Achieve: Build a centralized data lake and ETL pipeline to integrate data sources like Duck Creek and Guidewire. Empower teams with self-service analytics and support agile, data-driven decisions. Standardize KPI reporting for accurate, real-time insights. And there’s more…! Download the white paper now. Fill the form to download the White Paper Name* Email ID* Company Name* Job Title* All fields marked with * are mandatory Δ Related Resources Case Studies ENHANCING PRODUCTIVITY WITH PRECISION We prevented more than 80% of wrong supplier codes in its first iteration, enabling a global automobile company to optimize its production with AI and ML-led solutions. Learn more Case Studies EMPOWERING RESEARCHERS TO EXCEL We helped a large public research university in California build AI/ML-driven solutions for managing technical data. Learn more Case Studies REIMAGINING INTERACTIVE TRAINING We enabled a multinational mass media and entertainment conglomerate enhance its interactive training modules with a VR-based 360° solution. Learn more Blog PAVE THE WAY FOR AN AI-POWERED ENTERPRISE Machine learning and deep learning are crucial technology components to build robust foundations for AI implementation. Learn more Blog AI AND BLOCKCHAIN: A MATCH MADE IN TECH HEAVEN Can machines think? It’s a question that has ignited curiosity, contemplation, and even trepidation among tech enthusiasts and skeptics alike. Learn more Blog AI’S EXPANDING ROLE IN MARKETING With the line between human and artificial intelligence fading every passing day, the application areas of AI are expanding incrementally. Learn more Blog AI BEYOND THE HYPE: WHY THIS IS TRULY A TRANSFORMATIVE MOMENT FOR TECHNOLOGY AI has been envisioned as a business multiplier for decades, but its adoption has only recently gained pace. Learn more Blog GENERATIVE AI’S TRUE OPPORTUNITY IN RETAIL The retail industry is rapidly adopting Machine Learning, Computer Vision AI, and smarter AI-led solutions to enhance customer experiences, drive supply chain optimization, smarter in-store operations, and more. Generative AI, however, can help them achieve more. Learn more Brochure BUILDING AI-FIRST ENTERPRISES – EXPLORE HTCNXT AI-powered solutions are helping businesses gain deeper insights to make data-driven decisions with enhanced precision. Learn more