Name: Infrastructure for AI: Flexibility, Cost and Adaptability
Start: 2021-02-09T17:00:00Z
End: 2021-02-09T17:01:03.000Z
Location: BrightTALK
Rating: 4.5

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.


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

Augmented and virtual reality represent a real development in innovation when it comes to AI application. In this session with Ramesh Dontha, we will explore where we are with AR and VR, the business opportunity both represent, and how to leverage these tools for the modern enterprise.

From Vision to Reality: AI in Augmented and Virtual Reality

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

Artificial intelligence (AI) has the potential to significantly impact the legal industry, both in terms of improving efficiency and enhancing the quality of legal services. In this panel discussion, we have invited AI experts with legal backgrounds to help our audience dissect AI for the legal industry. 

In this webinar, join Ramesh Dontha and special guests Hassan Patel, Director of Global AI Policy Compliance Engineering at Fairly AI, Leigh Zeiser, Senior Manager of Innovation at BakerHostetler, as they explore the impact of artificial intelligence (AI) on the legal industry.

This interactive session delves into the multifaceted ways AI is transforming legal practice, enhancing efficiency, and raising ethical considerations. Through engaging discussions and practical examples, attendees will gain insights from experienced legal practitioners on the practical integration of AI tools in various legal domains, enabling them to navigate the evolving landscape of AI-powered legal services with confidence. Key themes underlying this discussion center around automation, human-computer interaction harms, fairness, and regulation keeping pace with innovation.

Join us as we discuss:
-  Enhancing Legal Services through AI Integration
-  Navigating Ethical Considerations in AI-Powered Legal Services
-  Preparing Legal Professionals for the AI-Driven Future

Dissecting AI for Lawyers (by Lawyers)

We know that AI is here for the long haul - which is why it makes for such a desirable career, it’s not going anywhere, and the opportunities are rife! According to the Bureau of Labor, by 2030, there will be a 31.4% increase in jobs for data scientists and mathematical science professionals - both crucial to AI.

AI startups are proving successful ventures for many, but where are investments going? What areas of AI are expected to grow over the next few years, and how can you lead a successful career in AI?

Join Ramesh Dontha and guests as we discuss:
-  Notable areas of investment in the AI space
-  Key trends to leverage in your own AI career
-  Where are the investments going?
-  The future of jobs in AI
-  And more!

How To Build Your AI Career

Generative AI has sparked widespread discussions regarding its safety and ethical implications, and it is crucial to navigate this rapidly evolving landscape with a responsible and well-informed approach.

In this webinar, join Ramesh Dontha and special guests Dr. Jon Hill, Professor of Model Risk at NYU Tandon School of Financial Risk Engineering, David Van Bruwaene, Co-Founder and CEO at Fairly AI, and Hassan Patel, Director of Global AI Policy Compliance Engineering at Fairly AI as they explore the fascinating intersection between Generative AI and Model Risk Management (MRM) best practices.

Drawing upon Dr. Hill's extensive expertise in MRM, David's academic background in ethics and industry experience in leading AI startups as well as Hassan's policy expertise and involvement in developing ethical AI standards, we will uncover valuable lessons that can be applied to the development and deployment of generative AI models. By examining the rigorous processes and controls employed by banks to manage risks associated with financial models, we can gain insights into establishing responsible and ethical practices for generative AI.

Did you know? The U.S. NIST AI Risk Management Framework was drawn upon the Model Risk Management framework from the banking industry?

Join us as we discuss:

-  Understanding the core principles of Model Risk Management and their relevance to generative AI
-  Discussing the intersection of regulation, ethics, and technological innovation in the context of generative AI
-  Leveraging lessons from MRM frameworks to establish robust governance and accountability in generative AI
 
By attending this webinar, you will gain a unique perspective on the ethical generative AI debate, combining the expertise of ethics, AI, model risk management and policy, and much more. 

 Reserve your spot now!

Achieving Safe and Compliant Generative AI: Lessons from Model Risk Management

In this month’s episode we’ll be taking a look at where AI is making the most immediate business impact. Which industries are mostly being affected? Which workflows are adopting AI?

An IBM survey found that 43% of companies have accelerated AI rollouts as a result of the pandemic. More businesses than ever are adopting AI, and in this session, we’ll ask ourselves why, as well as what this adoption means in the business world.

Join Ramesh Dontha and guests as we discuss: 

-  Where AI is making the most immediate impact
-  What’s driving businesses to adopt AI, and what will this mean for the workforce
-  How AI is being used for industry-specific needs 
-  And much more!

AI and Business Impact

Exploring Real-World AI: Solutions You Can Implement Today

AI and Cloud Computing - A Match Made In Heaven

How to Build An AI Solution: Processes and Workflows

Inside AI and Ethics: Bias, Governance and Operations

Exploring AI-Powered Digital Transformation

Understanding AI for Business: Transformative Technology, Simplified

AI: The Future of Business

As Artificial Intelligence (AI) moves from experimentation to wider adoption, organizations increasingly need to make decisions on computing, storage, and networking infrastructure. These infrastructure decisions heavily depend on skill set, costs, and the degrees of adoption - and businesses have to adapt and be flexible. 

Join us for episode 4 of AI: The Future of Business, where host Ramesh Dontha and guests explore how businesses can explore AI infrastructure considerations in an agile, forward-thinking and adaptable manner. 


They’ll be discussing:
- What infrastructure is required for AI as substantial amounts of data keeping ratcheting up
- How cloud technologies - particularly hybrid cloud solutions - are and will be the foundation of AI
- Essential Make Vs. Buy decisions to ensure cost levels remain competitive
- And more

Guests:
- Dan Waters - Director of Business Development, Artificial Intelligence at Samsung SDS Americas
- Jérémie Farret - Vice President, Advanced Analytics & Artificial Intelligence at Inmind

Infrastructure for AI: Flexibility, Cost and Adaptability

Artificial Intelligence

Cloud

Cloud Analytics

Cloud Applications

Data Analytics

Data Architecture

Enterprise Cloud

Enterprise IT

Hybrid Cloud

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Infrastructure for AI: Flexibility, Cost and Adaptability

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