Name: AI Watch: The Latest in AI Regulatory Challenges
Start: 2025-09-23T16:00:00Z
End: 2025-09-23T16:01:00.000Z
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.


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

The entertainment industry is undergoing a radical transformation, with AI emerging as the linchpin of this shift. Traditional media paradigms are being reshaped as AI introduces innovative ways to curate, produce, and distribute content. 

Research suggests that by 2025, the majority of content recommendation engines and personalized entertainment experiences will be driven by sophisticated AI algorithms.

AI has the potential to offer hyper-personalized content to viewers, streamline production workflows, and even generate entirely new forms of entertainment. Beyond just recommendations, think of AI-scripted movies, or music tracks fine-tuned to individual preferences. The horizon of possibilities is vast and largely unexplored.

Join us in this session as we discuss:

-  The burgeoning role of AI in content creation and distribution
-  How AI-driven analytics is reshaping audience engagement and monetization strategies
-  Navigating the challenges and ethical considerations of AI in the world of media and entertainment

AI in the Entertainment Industry: Changing the Face of Media

Supply chain management stands at the cusp of a monumental shift, powered by AI. Intricate and complex processes, often bogged down by inefficiencies, are experiencing an overhaul with the integration of AI. 

According to recent studies, by 2024, over 60% of global enterprises will have invested in AI-driven supply chain solutions to boost their competitive advantage.

As AI technologies steadily permeate the supply chain landscape, organizations are unveiling newfound efficiencies, from accurate demand forecasting to real-time logistics optimization. These advancements not only promise reduced operational costs but also a more agile and responsive supply chain system.

Join us in this session as we delve into:

-  The transformative potential of AI in supply chain dynamics
-  Real-world applications and success stories of AI-driven supply chain initiatives
-  Preparing for the future: Challenges and opportunities in adopting AI for supply chain management

AI-Driven Supply Chain Management: Efficiency Reimagined

2023 was a tumultuous year in the world of AI - and 2024 is likely going to accelerate this trend. 

In the first episode of the year, Ramesh Dontha and guests will break down and evaluate AI trends for the year ahead. Join us as we discuss: 

-  What your business can expect over the next 12 months 
-  The top AI trends and predictions for 2024
-  Key challenges businesses can expect to come across, and how to overcome these hurdles

What Does AI Have in Store for 2024?

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

Regulations

Compliance

AIOps

Emerging Technologies

Cloud

App Analytics

Application Security

Artificial Intelligence

Compliance Testing

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AI Watch: The Latest in AI Regulatory Challenges

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