Name: Leveraging Insights from Edge Analytics
Start: 2022-05-24T16:00:00Z
End: 2022-05-24T16:01:01.000Z
Location: BrightTALK
Rating: 4.7

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.


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

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?

The potential of AI in healthcare is huge, from tracking patient data to medical image analysis. This potential is only going to grow as AI in this field becomes more advanced. 

Join Ramesh Dontha and guests for the 37th episode of AI: The Future of Business, as we'll be discussing how AI and robotics is paving the way for transformation of healthcare, from diagnostics to training. 

We will discuss: 
-  The history of AI in healthcare 
-  Where AI can provide the largest benefits 
-  Are there ethical implications involved when discussing AI and healthcare?
-  What the future of AI and machine learning in the industry looks like
-  And much more!

AI and the Transformation of Healthcare

AI/ML has become an indispensable tool in cybersecurity by providing a proactive approach to threat detection and mitigation. As AI algorithms continue to mature, they are revolutionizing the way we identify and mitigate threats, offering unprecedented levels of precision, speed, and scalability. This panel brings together leading experts from diverse fields to delve into the multifaceted dimensions of AI-powered threat detection.

Join Ramesh Dontha, Navroop Mitter, Matthew Welling, and Jacob Canter to learn about the promising role of AI in cybersecurity and threat detection. We will discuss:

-  Innovations in Cybersecurity: Explore how AI-driven technologies are enhancing the identification and response to cyber threats, including malware, phishing attacks, and data breaches.

-  Specific use cases: Discuss use cases where AI is being used to proactively prevent threats but also being used to simulate bad actors to prevent future attacks.

-  Challenges and Future Trends: Discuss the challenges faced in implementing AI in threat detection and speculate on the future trends that will shape this rapidly evolving field.

AI and Threat Detection: Leveraging AI to Secure Your Business

The ability to analyse data as it’s generated, in real time, and improve the scalability of this data, are just some of the benefits of edge analytics. Edge analytics are particularly useful in the realm of IoT, especially when you consider that by 2025, 55 billion IoT devices are predicted to be in households and businesses (TechTarget). Being able to identify and use relevant data is crucial. 

But what are the limitations of edge analytics? How can we overcome these challenges, and why are edge analytics so important in the world of big data?

Join us as we discuss: 

-  The benefits of edge analytics
-  Edge analytics vs edge computing 
-  How to overcome the limitations of edge analytics

Leveraging Insights from Edge Analytics

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AI: The Future of Business