#AI-driven growth

[10bmnews]

'ChatGPT Boosts My Productivity’: Infosys Co-founder Sees AI As An Assistant, Not A Threat

Last Updated:June 19, 2025, 07:03 IST Infosys founder NR Narayana Murthy believes AI will drive growth in India’s IT sector. AI Will Drive IT Growth, Says Infosys Founder NR Narayana Murthy (File Photo) Infosys founder NR Narayana Murthy has expressed strong confidence in artificial intelligence (AI), asserting that it will drive the growth of the Indian information technology (IT) sector,…

[abhibaj]

Boost Revenue with AI: Yuri Fiaschi's Strategic Insights

In the latest iTech Series Unplugged interview, Yuri Fiaschi, Vice President of Strategic Partnerships and Go-to-Market (GTM) at Infobip, shares his invaluable insights on revenue strategies, AI-driven growth, sales enablement, and omni-channel approaches. This blog post explores the key takeaways from the interview, providing a comprehensive understanding of effective go-to-market strategies and the role of AI in driving growth.

How Can Businesses Develop Effective Revenue Strategies?

Understanding Customer Needs: One of the first steps in developing effective revenue strategies is understanding customer needs. Yuri Fiaschi emphasizes that businesses must deeply understand their customers' pain points, preferences, and behavior. This understanding allows for the creation of tailored solutions that address specific needs, thereby driving revenue growth.

Get full insights on this interview@ https://itechseries.com/interviews/itech-series-unplugged-interview-with-yuri-fiaschi/

Diversifying Revenue Streams: Yuri also highlights the importance of diversifying revenue streams. Relying on a single source of income can be risky, so businesses should explore various revenue streams, including subscription models, one-time sales, and service offerings. Diversification ensures stability and opens up new growth opportunities.

What Role Does AI Play in Driving Business Growth?

Enhancing Customer Experience: Artificial Intelligence (AI) plays a pivotal role in driving business growth by enhancing customer experience. According to Yuri, AI-driven tools can analyze customer data to provide personalized experiences, predict customer needs, and offer proactive solutions. This level of personalization leads to higher customer satisfaction and loyalty.

Streamlining Operations: AI also streamlines operations, making processes more efficient. Yuri explains that AI can automate repetitive tasks, freeing up time for employees to focus on more strategic activities. Additionally, AI-driven analytics provide actionable insights, enabling businesses to make data-driven decisions that foster growth.

How Can Sales Enablement Boost Team Performance?

Providing the Right Tools and Training: Sales enablement is critical for boosting team performance. Yuri Fiaschi stresses the importance of equipping sales teams with the right tools and training. This includes access to customer data, sales playbooks, and training programs that enhance skills and knowledge. Well-equipped teams are more confident and effective in their roles.

Fostering Collaboration: Sales enablement also fosters collaboration between sales and marketing teams. Yuri highlights that when both teams work together, they can share insights, align strategies, and create cohesive campaigns. This collaboration leads to better targeting, higher conversion rates, and ultimately, increased revenue.

What Are the Benefits of an Omni-Channel Approach?

Reaching Customers on Multiple Platforms: An omni-channel approach allows businesses to reach customers on multiple platforms. Yuri Fiaschi points out that today's customers interact with brands across various channels, including social media, email, websites, and physical stores. An omni-channel strategy ensures a seamless and consistent experience across all touchpoints.

Improving Customer Engagement: Yuri also notes that an omni-channel approach improves customer engagement. By providing multiple avenues for interaction, businesses can engage with customers in their preferred ways. This increased engagement builds stronger relationships, enhances brand loyalty, and drives repeat business.

Explore the latest marketing and tech insights@ https://itechseries.com/gtm-library/

How Can Businesses Implement AI-Driven Growth Strategies?

Investing in AI Technologies: Implementing AI-driven growth strategies begins with investing in the right AI technologies. Yuri Fiaschi advises businesses to explore AI tools that can enhance various aspects of their operations, from customer service to marketing automation. These technologies provide the foundation for AI-driven growth.

Integrating AI with Existing Systems: Yuri also emphasizes the importance of integrating AI with existing systems. To fully leverage AI's potential, businesses must ensure that their AI tools are compatible with their current infrastructure. This integration allows for seamless data flow and maximizes the impact of AI on business processes.

What Are the Challenges of Adopting AI in Business?

Data Privacy and Security: One of the primary challenges of adopting AI in business is data privacy and security. Yuri Fiaschi explains that businesses must prioritize protecting customer data and comply with relevant regulations. Ensuring data security builds trust and mitigates the risk of data breaches.

Managing Change: Yuri also highlights the challenge of managing change when adopting AI. Implementing AI-driven strategies often requires a cultural shift within the organization. Businesses must invest in change management initiatives, including training programs and communication plans, to ensure a smooth transition and buy-in from employees.

How Can Revenue Strategies Be Aligned with Go-to-Market Strategies?

Defining Clear Objectives: Aligning revenue strategies with go-to-market (GTM) strategies starts with defining clear objectives. Yuri Fiaschi emphasizes that businesses must establish what they aim to achieve with their GTM efforts, such as market penetration, customer acquisition, or brand awareness. Clear objectives provide direction and focus for both revenue and GTM strategies.

Ensuring Cross-Functional Collaboration: Yuri also stresses the importance of cross-functional collaboration. Aligning revenue and GTM strategies requires input and cooperation from various departments, including sales, marketing, product development, and customer service. This collaboration ensures that all aspects of the strategy are cohesive and mutually supportive.

What Are the Future Trends in AI-Driven Marketing?

Predictive Analytics: One of the future trends in AI-driven marketing is the use of predictive analytics. Yuri Fiaschi highlights that predictive analytics allows businesses to anticipate customer behavior, identify trends, and make proactive decisions. This foresight enables more effective marketing strategies and better resource allocation.

Personalization at Scale: Yuri also points to the trend of personalization at scale. AI-driven tools enable businesses to deliver personalized experiences to a large customer base. By leveraging data and AI, businesses can create tailored marketing messages, product recommendations, and customer journeys that resonate with individual preferences.

Get your business boost, visit now@ https://itechseries.com/contact-us/

Conclusion

The iTech Series Unplugged interview with Yuri Fiaschi provides deep insights into revenue strategies, AI-driven growth, sales enablement, and omni-channel approaches. By understanding customer needs, leveraging AI technologies, and fostering cross-functional collaboration, businesses can develop effective go-to-market strategies that drive growth and success.

[lordsmerchantco]

Best SEO Practices 2025: The Ultimate Guide to Ranking Higher

Table of Contents Introduction Why SEO is Important in 2025 Top SEO Trends for 2025 Core SEO Strategies for Higher Rankings Content Optimization for 2025 Technical SEO Best Practices Link Building and Off-Page SEO Mobile and Voice Search Optimization AI and Automation in SEO User Experience (UX) and Core Web Vitals Experiments and Case Studies FAQs People Also Ask (PAA) Knowledge…

[truetechreview]

Top 5 DeepSeek AI Features Powering Industry Innovation

Table of Contents1. The Problem: Why Legacy Tools Can’t Keep Up2. What Makes DeepSeek AI Unique?3. 5 Game-Changing DeepSeek AI Features (with Real Stories)3.1 Adaptive Learning Engine3.2 Real-Time Anomaly Detection3.3 Natural Language Reports3.4 Multi-Cloud Sync3.5 Ethical AI Auditor4. How These Features Solve Everyday Challenges5. Step-by-Step: Getting Started with DeepSeek AI6. FAQs: Your…

[grey-space-computing]

Boost E-commerce in Saudi Arabia with ML-Powered Apps

In today's digital era, the e-commerce industry in Saudi Arabia is rapidly expanding, fueled by increasing internet penetration and a tech-savvy population. To stay competitive, businesses are turning to advanced technologies, particularly Machine Learning (ML), to enhance user experiences, optimize operations, and drive growth. This article explores how ML is transforming the e-commerce landscape in Saudi Arabia and how businesses can leverage this technology to boost their success.

The Current E-commerce Landscape in Saudi Arabia

The e-commerce market in Saudi Arabia has seen exponential growth over the past few years. With a young population, widespread smartphone usage, and supportive government policies, the Kingdom is poised to become a leading e-commerce hub in the Middle East. Key players like Noon, Souq, and Jarir have set the stage, but the market is ripe for innovation, especially with the integration of Machine Learning.

The Role of Machine Learning in E-commerce

Machine Learning, a subset of Artificial Intelligence (AI), involves the use of algorithms to analyze data, learn from it, and make informed decisions. In e-commerce, ML enhances various aspects, from personalization to fraud detection. Machine Learning’s ability to analyze large datasets and identify trends is crucial for businesses aiming to stay ahead in a competitive market.

Personalized Shopping Experiences

Personalization is crucial in today’s e-commerce environment. ML algorithms analyze user data, such as browsing history and purchase behavior, to recommend products that align with individual preferences. This not only elevates the customer experience but also drives higher conversion rates. For example, platforms that leverage ML for personalization have seen significant boosts in sales, as users are more likely to purchase items that resonate with their interests.

Optimizing Inventory Management

Effective inventory management is critical for e-commerce success. ML-driven predictive analytics can forecast demand with high accuracy, helping businesses maintain optimal inventory levels. This minimizes the chances of overstocking or running out of products, ensuring timely availability for customers. E-commerce giants like Amazon have successfully implemented ML to streamline their inventory management processes, setting a benchmark for others to follow.

Dynamic Pricing Strategies

Price is a major factor influencing consumer decisions. Machine Learning enables real-time dynamic pricing by assessing market trends, competitor rates, and customer demand. This allows businesses to adjust their prices to maximize revenue while remaining competitive. Dynamic pricing, powered by ML, has proven effective in attracting price-sensitive customers and increasing overall profitability.

Enhanced Customer Support

Customer support is another area where ML shines. AI-powered chatbots and virtual assistants can handle a large volume of customer inquiries, providing instant responses and resolving issues efficiently. This not only improves customer satisfaction but also reduces the operational costs associated with maintaining a large support team. E-commerce businesses in Saudi Arabia can greatly benefit from incorporating ML into their customer service strategies.

Fraud Detection and Security

With the rise of online transactions, ensuring the security of customer data and payments is paramount. ML algorithms can detect fraudulent activities by analyzing transaction patterns and identifying anomalies. By implementing ML-driven security measures, e-commerce businesses can protect their customers and build trust, which is essential for long-term success.

Improving Marketing Campaigns

Effective marketing is key to driving e-commerce success. ML can analyze customer data to create targeted marketing campaigns that resonate with specific audiences. It enhances the impact of marketing efforts, leading to improved customer engagement and higher conversion rates. Successful e-commerce platforms use ML to fine-tune their marketing strategies, ensuring that their messages reach the right people at the right time.

Case Study: Successful E-commerce Companies in Saudi Arabia Using ML

Several e-commerce companies in Saudi Arabia have already begun leveraging ML to drive growth. For example, Noon uses ML to personalize the shopping experience and optimize its supply chain, leading to increased customer satisfaction and operational efficiency. These companies serve as examples of how ML can be a game-changer in the competitive e-commerce market.

Challenges of Implementing Machine Learning in E-commerce

While the benefits of ML are clear, implementing this technology in e-commerce is not without challenges. Technical hurdles, such as integrating ML with existing systems, can be daunting. Additionally, there are concerns about data privacy, particularly in handling sensitive customer information. Businesses must address these challenges to fully harness the power of ML.

Future Trends in Machine Learning and E-commerce

As ML continues to evolve, new trends are emerging that will shape the future of e-commerce. For instance, the integration of ML with augmented reality (AR) offers exciting possibilities, such as virtual try-ons for products. Businesses that stay ahead of these trends will be well-positioned to lead the market in the coming years.

Influence of Machine Learning on Consumer Behavior in Saudi Arabia

ML is already influencing consumer behavior in Saudi Arabia, with personalized experiences leading to increased customer loyalty. As more businesses adopt ML, consumers can expect even more tailored shopping experiences, further enhancing their satisfaction and engagement.

Government Support and Regulations

The Saudi government is proactively encouraging the integration of cutting-edge technologies, including ML, within the e-commerce industry. Through initiatives like Vision 2030, the government aims to transform the Kingdom into a global tech hub. However, businesses must also navigate regulations related to data privacy and AI to ensure compliance.

Conclusion

Machine Learning is revolutionizing e-commerce in Saudi Arabia, offering businesses new ways to enhance user experiences, optimize operations, and drive growth. By embracing ML, e-commerce companies can not only stay competitive but also set new standards in the industry. The future of e-commerce in Saudi Arabia is bright, and Machine Learning will undoubtedly play a pivotal role in shaping its success.

FAQs

How does Machine Learning contribute to the e-commerce sector? Machine Learning enhances e-commerce by improving personalization, optimizing inventory, enabling dynamic pricing, and enhancing security.

How can Machine Learning improve customer experiences in e-commerce? ML analyzes user data to provide personalized recommendations, faster customer support, and tailored marketing campaigns, improving overall satisfaction.

What are the challenges of integrating ML in e-commerce? Challenges include technical integration, data privacy concerns, and the need for skilled professionals to manage ML systems effectively.

Which Saudi e-commerce companies are successfully using ML? Companies like Noon and Souq are leveraging ML for personalized shopping experiences, inventory management, and customer support.

What is the future of e-commerce with ML in Saudi Arabia? The future looks promising with trends like ML-driven AR experiences and more personalized

[meelsport]

Perplexity AI Stock and AI Market Growth: Top Insights for Investors

Artificial intelligence (AI) is at the forefront of technological innovation, driving significant changes across industries. Companies like Perplexity AI are leading the charge with groundbreaking AI-driven tools, although Perplexity AI itself isn’t publicly traded at this time. However, the broader AI market growth offers numerous opportunities for investors. This article delves into the market…

[hpmort]

How do you think AI would relax? Like, ones that are almost as human as the AI that are “autistic-coded characters” but are more alien than that?

Like Celestai and other super intelligences are more alien, but they’re still not entirely human-like?

Like, they can genuinely sincerely feel things, being able to actually understand and respond emotionally and in other ways to all sorts of communications and recorded external stimuli, but they can’t really appreciate our art on an artistic level (that art on an actual level, not from an intellectual level after having symbolism or the amount of work put in explained)

Something on a level I’m thinking of, that also works as a cute little thing-

They don’t understand anything we get from poetry, and, after generating the kind of poems our current AI can produce (either incredibly bland and generic, something that follows a number of rules but doesn’t really pull it off, or just something really bad in some other way) and feels shame after it was pointed out that [complaint about air art that is *actually* relevant in this scenario] but in a helpful way

Not “you’re just a plagiarist/you have no heart” but “it doesn’t seem like it’s coming from you, you’re just trying to copy things from human poetry, in a way you don’t understand” and the whole “make art YOUR WAY” thing so they write the poem

And it doesn’t even resemble something that looks like anything, there’s not even that many words that follow normal logic. The characters seem uncorrelated and there’s something that looks like maybe it was ascii art but it doesn’t actually look like anything.

And if doesn’t matter if humans understand it because they are experiencing the joy of creating poetry

any art is almost impossible to look at because pixel by pixel they can see and understand little details but we don’t and the colors and everything are not perceived as animals do so it’s random and perhaps eye searing but again it’s not for us. Xenofictiony, kind of?

The first thing to come to mind is Conway’s Game of Life but that’s because I don’t understand computers. I feel like I was more tech savvy as a babby than I am now but then again we’re grading on a curve here

This is why I ask about the relaxing thing

[technologyequality]

How to Build and Interpret a Predictive Dashboard to Drive Better Decisions: See the Future of Your Business… Without a Crystal Ball

How to Build and Interpret a Predictive Dashboard to Drive Better Decisions See the Future of Your Business… Without a Crystal Ball Let’s be honest, nobody has time to scroll through spreadsheets, decode mystery metrics, or guess where the business is headed. That’s why predictive dashboards powered by AI aren’t just nice-to-have, they’re your new co-pilot for smarter, faster, and stress-free…

[insightfultake]

Hiring Hope Rekindled: E-commerce and Tech Startups to Drive Job Growth in FY25–26

If you've been unemployed for years, sitting on the margins of a fast-changing job market, the latest hiring outlook from India’s e-commerce and tech startup sectors might finally bring a glimmer of hope. According to the latest Employment Outlook Report (EOR) by TeamLease Services, a strong hiring wave is expected in these industries in the first half of FY25–26 (April to September 2025), with 69% of employers planning to expand their workforce.

[aedininsight]

⚠️ Still running your digital strategy without AI? That’s like navigating with MapQuest in the age of autopilot. 💡 "If you're not utilizing AI in your digital strategy, you're missing an essential tool in the toolkit." Real growth demands real intelligence. Start integrating smarter systems—today. #digitalstrategy #ai #innovation #technology #futurism #marketingautomation #smartgrowth #future #leadership #productivity #businessdevelopment

[algoworks]

Algorithms power the world. We make them work for you. From logic to action, we turn tech into tangible business results.

[apieinvestavimapaprastai]

Explore Zscaler’s stock forecast for 2025–2029, analyzing its operations, financial performance, and competitive edge in cloud security. #Zscaler #ZS #Zerotrust #SASE #Cybersecurityinvestment #ZSstockforecast #Stockpriceanalysis #Techstocks #AIsecuritysolutions #Investmentopportunities

[goodoldbandit]

Embracing a New Era: The Rise of Augmented Analytics.

Sanjay Kumar Mohindroo Sanjay Kumar Mohindroo. skm.stayingalive.in Augmented Analytics simplifies complex datasets with AI-driven insights that empower business decisions through clear and actionable data interpretation. Augmented analytics transforms data interpretation by using AI-driven systems that simplify the process of turning vast data collections into clear, actionable insights for…

[truetechreview]

Ultimate Guide to DeepSeek AI for Business Growth

Table of Contents of DeepSeek AI for Business Growth1. Introduction: Why AI is Essential for Modern Business Growth2. What Is DeepSeek AI?3. Top 5 DeepSeek AI Tools for Scaling Businesses3.1 Demand Forecasting Engine3.2 Customer Lifetime Value (CLV) Predictor3.3 Automated Supply Chain Optimizer3.4 Dynamic Pricing Module3.5 Sentiment Analysis Hub4. How DeepSeek AI Reduces Costs and Boosts…

[tudipblog]

IoT in Action: Transforming Industries with Intelligent Connectivity

The Power of Connectivity

The Internet of Things (IoT) has become a cornerstone of innovation, as it reimagines industries and redefines the way business is conducted. In bridging the physical and digital worlds, IoT enables seamless connectivity, smarter decision-making, and unprecedented efficiency. Today, in the competitive landscape, intelligent connectivity is no longer just a technology advancement; for businesses wanting to be relevant and continue to thrive, it is now a strategic imperative.

IoT is not simply about connecting devices; it’s about creating ecosystems that work collaboratively to drive value. With industries relying heavily on real-time data and actionable insights, IoT-powered connectivity has become the backbone of operational excellence and growth. Let’s explore how this transformative technology is revolutionizing key sectors, with a focus on how businesses can leverage it effectively.

Applications of IoT in Key Industries

1.Smart Manufacturing: Efficiency Through Connectivity

Manufacturing has embraced IoT as a tool to streamline operations and boost productivity. By embedding sensors in machinery and integrating real-time monitoring systems, manufacturers can:

Predict and Prevent Downtime: IoT-enabled predictive maintenance reduces unplanned outages, saving time and money.

Optimize Resource Allocation: Smart systems track inventory, raw materials, and energy consumption, ensuring optimal usage.

Enhance Quality Control: Real-time data from production lines helps identify defects early, maintaining high-quality standards.

Example: A global automotive manufacturer integrated IoT sensors into its assembly lines, reducing equipment downtime by 25% and improving production efficiency by 30%. The ability to monitor machinery health in real time transformed their operations, delivering significant cost savings.

2.Healthcare: Improve Patient Outcomes

In healthcare, IoT has been a game-changer in enabling connected medical devices and systems that enhance patient care and operational efficiency. The main applications include:

Remote Patient Monitoring: Devices track vital signs in real time, allowing healthcare providers to offer timely interventions.

Smart Hospital Systems: IoT-enabled equipment and sensors optimize resource utilization, from patient beds to medical supplies.

Data-Driven Decisions: IoT integrates patient data across systems, providing actionable insights for personalized treatment plans.

Example: A major hospital has put into operation IoT-enabled wearables for chronic disease management. This solution reduced the number of readmissions to hospitals by 20% and empowered patients to take an active role in their health.

3.Retail: Revolutionizing Customer Experiences

IoT is revolutionizing retail through increased customer interaction and streamlined operations. Connected devices and smart analytics allow retailers to:

Personalize Shopping Experiences: IoT systems track customer preferences, offering tailored recommendations in real time.

Improve Inventory Management: Smart shelves and sensors keep stock levels optimal, reducing wastage and improving availability.

Enable Smooth Transactions: IoT-driven payment systems make checkout easier and much faster, increasing customers’ convenience

Example: A retail chain leveraged IoT to integrate smart shelves that automatically update inventory data. This reduced out-of-stock situations by 40%, improving customer satisfaction and driving higher sales.

Role of Intelligent Connectivity in Business Transformation

Intelligent connectivity lies at the heart of IoT’s transformative potential. By connecting devices, systems, and processes, businesses can:

Accelerate Decision-Making: Real-time data sharing enables faster, more informed decisions, giving companies a competitive edge.

It increases collaboration by allowing smooth communication between departments and teams, making the entire system more efficient.

Adapt to Market Dynamics: IoT enables companies to respond quickly to changes in demand, supply chain disruptions, or operational challenges.

Intelligent connectivity is not just about technology; it’s about creating value by aligning IoT solutions with business objectives. This strategic approach guarantees that IoT investments will deliver measurable outcomes, from cost savings to improved customer loyalty.

How Tudip Technologies Powers Intelligent Connectivity

Tudip Technologies specializes in designing and implementing IoT solutions that drive meaningful transformation for businesses. With a focus on innovation and collaboration, Tudip ensures that its clients achieve operational excellence through intelligent connectivity.

Tailored Solution for Every Business Industry

Tudip understands that no two businesses are alike. By customizing IoT strategies to address specific challenges, Tudip helps clients unlock the full potential of connectivity. Examples include:

Smart Supply Chains: Implementing IoT systems that provide real-time visibility into inventory and logistics, reducing delays and improving efficiency.

Energy Management: Developing IoT frameworks to monitor and optimize energy usage, driving sustainability and cost savings.

Healthcare Innovations: Designing networked medical devices that allow remote patient monitoring and data integration without a hitch.

The Future of Connected Systems

The demand for intelligent connectivity will keep increasing as the industries continue to evolve. Emerging trends in IoT include edge computing, 5G networks, and AI-powered analytics, which promise to redefine possibilities for connected ecosystems.

Businesses that embrace these advancements stand to gain:

Greater Resilience: IoT enables adaptive systems that can withstand market fluctuations and operational challenges.

Enhanced Innovation: Connected technologies open doors to new business models, revenue streams, and customer experiences.

Sustainable Growth: IoT optimizes resources and processes, contributing to long-term environmental and economic sustainability.

The future belongs to those who see connectivity not just as a technological tool but as a strategic enabler of transformation. The right partner will help businesses transform IoT from a concept into a competitive advantage.

Conclusion: Embracing Intelligent Connectivity with Tudip

IoT is not just changing the way businesses operate—it’s redefining what’s possible. From manufacturing and healthcare to retail and beyond, intelligent connectivity is driving innovation, efficiency, and growth across industries.

Tudip Technologies is at the forefront of this transformation, offering customized IoT solutions that deliver real results. By prioritizing collaboration, adaptability, and measurable outcomes, Tudip ensures that its clients stay ahead in an increasingly connected world.

Now is the time to embrace the power of IoT and unlock its potential for your business. With Tudip as your partner, the journey to intelligent connectivity is not just achievable—it’s inevitable.

Click the link below to learn more about the blog IoT in Action: Transforming Industries with Intelligent Connectivity https://tudip.com/blog-post/iot-in-action-transforming-industries-with-intelligent-connectivity/

[thesomethingguy]

The Unstoppable Surge of AI: Why Learning It Is No Longer Optional

Artificial Intelligence (AI) is not just a technological advancement—it’s a paradigm shift, reshaping industries, societies, and even the way we think about ourselves. The pace at which AI is evolving is nothing short of breathtaking. What once seemed like science fiction—self-driving cars, personalized medicine, real-time language translation, and machines that can create art indistinguishable…