Name: AI and Hyper-Personalization: Taking Customer Experience to a New Level
Start: 2025-12-16T17:00:00Z
End: 2025-12-16T17:01:00.000Z
Location: BrightTALK
Rating: 0

Each month, the AI: the Future of Business series explores the latest trends, technologies and best practices in the world of Enterprise AI and sheds light on Artificial Intelligence for the modern business.


The sophistication and accessibility of AI is growing by the day, and organizations are finding themselves facing unprecedented challenges in combating the proliferation of misinformation and disinformation. This critical webinar examines the evolving landscape of AI-powered false information and provides advice for detection, mitigation, and organizational preparedness.

Key discussion points will include:
- How AI is transforming the scale, sophistication, and persuasiveness of misinformation campaigns
- The blurring boundaries between authentic and synthetic content across text, image, audio, and video
- Building effective technical approaches to identifying AI-generated content at scale
- Establishing proactive monitoring capabilities for detecting targeted disinformation campaigns
- Preparing stakeholders and customers for the reality of increasingly convincing AI-created media
- Strategies for building organizational awareness and resilience against disinformation
- Approaches for effectively communicating authenticity and maintaining trust in the era of AI

Join our expert panel of AI ethics and security specialists as they discuss how you can help your organization navigate the challenges of AI-exacerbated misinformation and develop effective countermeasures.

AI-Exacerbated Misinformation and Disinformation: Stopping the Spread

AI adoption strategies are racing ahead, but alongside these advancements come growing concerns about their environmental impact. This timely webinar examines the complex relationship between AI innovation and environmental responsibility, exploring how businesses can reconcile the two. 

Key discussion points will include:
- Understanding the true energy and resource footprint of modern AI systems from training to deployment
- Examining the tension between computational demands and sustainability commitments
- Building energy efficiency considerations into AI system design and selection processes
- Developing practical approaches to measuring and reporting AI-related environmental metrics
- Exploring how AI itself can drive sustainability improvements across business operations
- How to assess the environmental impact of your organization's current and planned AI initiatives
- Approaches for effectively communicating the environmental dimensions of AI to stakeholders

Join Ramesh and his expert panel in this month’s episode to hear practical insights and forward-looking perspectives on navigating this complex intersection.

AI and Sustainable Business:  How Can We Balance AI Innovation and Green IT?

AI is being rapidly integrated across industries, and organizations face an increasingly complex regulatory landscape that threatens to reshape AI development and deployment strategies. This month’s episode of AI: The Future of Business provides a timely and comprehensive analysis of emerging AI regulations worldwide and delivers practical guidance for navigating compliance challenges while maintaining innovation momentum.

Key discussion points will include:
- The current state of major AI regulatory frameworks including the EU AI Act, US Executive Order, and regional approaches
- Emerging patterns in how regulators are addressing AI risk, transparency, and accountability
- Potential conflicts and harmonization opportunities across jurisdictional requirements
- Building adaptable governance frameworks that can respond to evolving regulatory expectations
- Developing risk assessment methodologies that align with regulatory categorization schemes
- Creating cross-functional collaboration models between legal, technical, and business stakeholders
- Establishing monitoring mechanisms for regulatory developments that may impact AI initiatives
- Preparing for increased scrutiny of AI procurement and third-party risk management

Join Ramesh and our expert panel of AI governance specialists as they share practical insights and forward-looking analysis to help your organization navigate the complex and rapidly evolving landscape of AI regulation.

AI Watch: The Latest in AI Regulatory Challenges

As artificial intelligence continues to reshape consumer experiences, retail and e-commerce organizations face unprecedented opportunities to transform their business models and customer engagement strategies. This forward-looking webinar examines the practical applications of AI that are already changing the retail landscape and provides insights into emerging technologies that will define the future of shopping.

Key discussion points will include:
- How leading retailers are successfully deploying AI across inventory management, personalization, and customer service functions
- The evolution of AI-powered recommendation engines and their impact on conversion rates and customer satisfaction
- Emerging patterns in consumer acceptance and expectations around AI-enhanced shopping experiences
- Exploring the potential of computer vision, augmented reality, and voice commerce to transform shopping journeys
- Understanding how predictive analytics and demand forecasting are evolving retail supply chains
- Examining the role of autonomous systems in reshaping retail operations and fulfillment
- Strategies for building the necessary data infrastructure to support advanced retail AI applications
- Approaches for preparing your workforce and organization for AI-driven retail transformation

Join Ramesh and our panel of retail technology experts as they share practical insights and forward-looking perspectives on how AI is reshaping the future of shopping, helping your organization navigate both the immediate opportunities and long-term strategic implications.

AI in Retail & E-Commerce: What Will the Future of Shopping Look Like?

In the current financial landscape, AI is transforming how institutions approach decision-making processes across their operations. This month’s episode of AI: The Future of Business sees Ramesh and guests cut through the marketing hype to deliver a pragmatic assessment of AI's current capabilities, limitations, and real-world applications in financial services.

Key discussion points will include:
- Where AI is genuinely delivering value in financial decision workflows today
- Common implementation challenges and how leading organizations are overcoming them
- The evolving regulatory landscape surrounding algorithmic decision-making in finance
- Establishing appropriate human oversight mechanisms for AI-augmented financial decisions
- Developing practical approaches to explainability and transparency in financial AI systems
- How to evaluate AI solutions against traditional decision-making approaches
- Measuring ROI and performance metrics specific to financial decision AI
- Practical strategies for identifying high-value AI applications in your financial processes

Join our expert panel of financial technology leaders as they share candid insights and practical guidance for navigating the complex reality of AI in financial decision-making, helping your organization separate genuine opportunity from inflated expectations.

AI in Financial Decision-Making: The Reality of its Role

As AI continues to transform industries, it’s also reshaping the workforce. With the potential to enhance productivity and collaboration, and even create new roles, AI is sure to be the driving force for a lot of change to the workforce we know today. 

Join Ramesh Dontha and guests in this webinar, as they discuss: 

-  How AI is impacting job roles
-  The skills required for the future, and how businesses can prepare their employees for an AI-driven workplace
-  The balance between human labor and automation
-  Strategies for upskilling the workforce

AI and the Future of Work: Redefining Jobs and Skills

The rapid evolution of AI-driven customer service tools, such as chatbots and virtual assistants, is revolutionizing the way businesses engage with their customers. Through automation, AI is reshaping customer service operations, enhancing response times, and delivering personalized solutions, all while preserving the human element.

But how can businesses harness the power of AI for customer service?

Join Ramesh Dontha and guests as they discuss:

-  The evolution of chatbots 
-  Emerging customer service AI tools
-  Why the human element is important in customer service, and how to preserve it when working with AI models
-  And much more!

AI in Customer Service: Chatbots and Beyond

AI presents exciting business opportunities and advancements, but it's essential to address the ethical challenges it brings, especially in detecting and mitigating bias within machine learning models.

Join us in this session as we discuss:

-  Fairness, accountability, and transparency in AI systems
-  Real-world case studies where bias has had serious consequences
-  How businesses can responsibly use AI while ensuring ethical guidelines are followed

This session aims to equip you with the knowledge and tools needed to navigate the ethical landscape of AI, ensuring that your use of this technology is both innovative and responsible.

AI and Ethics: Navigating Bias and Fairness in Machine Learning

In the first episode of the year, join Ramesh Dontha and guests as they deep dive into trends, predictions and insights into what 2025 will bring to the AI landscape -- from new technologies to new opportunities for innovation.

Shaping Tomorrow: Key AI Trends and Innovations to Watch for in 2025

Join is in the final episode of the year as Ramesh Dontha and guests deep dive into the key trends in AI from 2024, and what to expect as we move into 2025.

A Year in Review: How Did AI Change the Playing Field in 2024?

AI represents real value for business growth, internal optimization, and cost efficiency - but implementation is not always an easy task. 

Join Ramesh Dontha and guests as we discuss:
-  The most common obstacles faced by businesses when creating and enforcing an AI strategy
-  How to navigate these challenges for business success
-  Tackling resistance to your AI strategy

Challenges in AI Implementation: Overcoming Obstacles and Resistance

AI adoption differs significantly across industries, countries and even continents. Join us in this session as Ramesh Dontha and guests deep dive into the different applications of AI on a global scale.

The Global Impact of AI: Differences in Adoption & Application Across Continents

How can AI advance and innovate your marketing campaigns? Join Ramesh Dontha and guests in our 47th episode as we deep dive into the potential of AI in marketing, and why AI should be in every marketer's tool box.

AI and Personalized Marketing: Engaging the Modern Consumer

Join Ramesh Dontha and guests in the 45th episode of AI: The Future of Business as we deep dive into deep learning, what it means for businesses, and how to leverage its full potential.

Deep Learning Explained: Its Impact and Future Potential

As concerns about the environment rise, and we begin to really feel the impact of global warming - AI presents itself as an unexpected but promising tool in the fight against climate change. AI within sustainability is now charting new pathways to monitor, analyze, and address environmental challenges. Forecasts suggest that by 2027, AI-driven environmental solutions will significantly impact carbon footprints, waste management, and conservation efforts on a global scale. 

AI technologies are empowering organizations to monitor environmental changes in real-time, predict ecological trends, and even optimize resource consumption. From satellite imagery analyzing deforestation rates to AI-driven waste sorting and recycling, the applications are both diverse and impactful. Join us in this talk as we delve into: - The innovative approaches in which AI aids in environmental conservation - Case studies depicting AI driving sustainability initiatives across various industries - The overarching challenges and potential pitfalls of intertwining AI with ecological efforts

Join us in this webinar as we discuss:

-  How AI is helping with real-time monitoring of environmental changes
-  How AI is predicting the ecological changes
-  Optimize resource consumption with AI
-  Case studies of AI-driven environmental conservation
-  And much more!

AI in Environmental Conservation and Resource Optimization

The financial landscape is being reshaped at an unprecedented rate, with AI sitting at the centre of this transformation. From automating mundane tasks to predicting market trends, AI's influence on the finance sector is both profound and multifaceted. Experts predict that by 2028, the vast majority of banking, investment, and insurance processes will be either assisted or entirely driven by AI technologies. In this rapidly evolving landscape, AI enables risk assessments with greater precision, facilitates personalized banking experiences, and even optimizes investment and lending portfolios using real-time data analytics. The shift isn't just about efficiency but also about creating new financial products and services that were previously unimaginable. Yet, despite the rising activities, recent regulatory changes and advancements in AI created the perfect storm for risk management practices in financial services to adapt and evolve.

Join us in this webinar as we discuss: 
- Top AI trends in finance
 - Real life examples highlighting the transformative impact of AI on financial institutions 
- The ethical and regulatory challenges posed by the integration of AI in finance 
- And much more!

 Reserve your spot now!

AI in Finance: Risk Management, Challenges and Opportunities

Education is widely impacted by the evolution of AI. As classrooms worldwide transition from traditional to technologically augmented settings, AI is becoming a top contender when it comes down to fostering personalized learning experiences. 

Projections indicate that by 2026, a significant portion of educational institutions will integrate AI tools. 

In this transformative era, AI has the capability to customize educational content, adjust pacing based on student performance, and even provide real-time feedback. Beyond the walls of the classroom, AI-driven platforms are democratizing access to quality education, bridging gaps, and fostering inclusivity.

Join us in this session as we explore:

-  The ways in which AI is revolutionizing traditional methodologies and tools
- Success stories showing institutions harnessing AI for enhanced learning outcomes
-  The future of AI in education and the challenges to its widespread adoption

The Rise of AI in Education: Personalized Learning and Beyond

Customer expectations continue to evolve, and many businesses are using AI-powered hyper-personalization to deliver an experience that is truly individualized. This month’s episode of AI: The Future of Business looks at how the latest AI technologies are enabling hyper-personalization across multiple customer touchpoints, and asking how the practical and data privacy challenges of implementing these solutions can be managed. 

Key discussion points will include:
- How AI is transforming traditional segmentation approaches into dynamic, individual-level personalization
- The convergence of multiple data sources and AI techniques that enable hyper-personalization
- Building the necessary data infrastructure to support AI-driven personalization initiatives
- Understanding the organizational capabilities required to deliver sustained hyper-personalization
- Creating appropriate guardrails to prevent personalization from becoming intrusive or manipulative
- Examining how hyper-personalization is reshaping competitive dynamics across industries

Join Ramesh and guests as they close out the year by examining how AI can safely and effectively deliver a new era of customer experience.

AI and Hyper-Personalization: Taking Customer Experience to a New Level

Artificial Intelligence

Customer Experience

Customer Engagement

Ethics

Data Privacy

Customer Data

Marketing

Data Analytics

Marketing Attribution

Practicing business intelligence allows your company to transform raw data into sets of insights for targeted business growth. The business intelligence and analytics community on BrightTALK is made up of thousands of data scientists, database administrators, business analysts and other data professionals. Find relevant webinars and videos on business analytics, business intelligence, data analysis and more presented by recognized thought leaders. Join the conversation by participating in live webinars and round table discussions.

Business Intelligence and Analytics

As an IT professional, many of the problems you face are multifaceted, complex and don’t lend themselves to simple solutions. The information technology community features useful and free information technology resources. Join to browse thousands of videos and webinars on ITIL best practices, IT security strategy and more presented by leading CTOs, CIOs and other technology experts.

AI and Hyper-Personalization: Taking Customer Experience to a New Level

Presented by

About this talk

AI: The Future of Business