Name: Is AI Going to Take Your Job?
Start: 2023-12-12T17:00:00Z
End: 2023-12-12T17:01:00.000Z
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 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

Generative AI, or “algorithms that can be used to create new content, including audio, code, images, text, simulations, and videos”, has populated the news over the past few months, with the release of ChatGPT. 

In this month’s episode of ‘AI: The Future of Business’, we’ll weigh up the pros and cons of generative AI. Is it a revolution in the works, or does it pose difficult questions to the way we work? Is it ethical to use generative AI in the workplace? Is it a fad, or a genuinely useful tool? 

Join Ramesh Dontha in the 30th episode of AI: The Future of Business as we discuss: 
-  Generative AI in the workplace
-  ChatGPT, OpenAI, and future AI tools
-  The future of generative AI
-  How copyrights come into play for AI
-  Whether ethics plays a part in this discussion

A Guide To Generative AI: An AI Revolution?

We all have a responsibility to make smarter decisions, as individuals, as businesses and as corporations. This does not stop at AI. 

AI represents a real value for the move towards Net Zero, for example, it can help businesses identify areas of waste and inefficiency. This being said, studies have found that many aspects of AI, for example, training a deep learning model, can result in the emission of hundreds of thousands of kilograms of C02. 

In this episode, we’ll explore how AI can drive sustainability, where we’ve gone wrong with AI, and how we can ensure that as we face the future, AI continues to be a source of potential in the bid to net zero. 

Join us as we discuss: 
-  How AI is driving sustainability across different industries
-  How to leverage the potential of AI without worsening the issue at hand 
-  AI and sustainability - where will we be in five years time?
-  And much more!

Balancing AI to Create a Sustainable Future

In 2023, ethical AI has never been more important. As AI plays an even larger role when it comes to employment, healthcare, and the justice system, ethical AI is no longer just a topic for debate, but an absolute must-have. 

Creating an AI ethical framework is essential. But where should you start? And how can you set it up for success?

In this session, we’ll discuss your questions from our previous two episodes on ethical AI. Join us as we consider: 

-  What leaders and business decision makers can do next to reduce bias and improve the ethical standards of AI systems
-  The key considerations for an AI ethical framework 
-  How to balance the tension between intelligent algorithms and sensitive information
-  Where does risk assessment come into ethical AI?
-  Where does GDPR come into ethical AI?
-  The role of an AI Ethics Officer - will every organisation designing ML models require one?
-  And much more!

Answering Your Questions: Ethical AI in the Hot Seat

Separately, AI and IoT are continuing to transform the business world by improving productivity, automating processes and workflows and changing the way we work entirely. But what happens when we combine AI and IoT? What can this innovation do for your business, and why is it important to embrace this technology in a rapidly changing world?

In this month’s instalment of AI: The Future of Business, we’ll take a look at the intersection of AI and IoT to evaluate what AIoT looks like today, how it’s impacting the business world, and where you can begin to implement it into your business processes. 

-  Bridging the gap between AI and IoT
-  The business value of AIoT
-  AIoT in the real world 
-  The intersection of AI, ML, IoT and Big Data

AIoT: Innovation for Business Growth

According to IDC, in 2023 AI spending will exceed the half-trillion mark. This is an exciting milestone, and represents how far AI has come in the business world. But what is this money being spent on? What are the key trends, tools and technologies expected to become key players in the AI landscape?

In the final episode of 2022, we’ll be deep diving into the key trends, as our expert panellists discuss what they expect to see in the year ahead. 

Join us in this panel as we discuss: 
-  Top 3 predictions for AI in 2023
-  Innovation of AI technologies 
-  Machine learning and ethics in 2023
-  AI regulations 
-  And much more!

Through the Looking Glass: AI in 2023

AI and data privacy are, surprisingly, a great match. Though the very nature of AI poses risk to personal data and privacy, there is a dichotomy between AI creating risk, and AI aiding in the bid to secure data - both at a business and personal level. In fact, according to Gartner, by 2023, 40% of privacy compliance technology will use AI.

As AI embeds itself into the fabric of the business world, it’s time to leverage its potential for risk management and data privacy. AI can be a great resource to reduce malware and data breaches by tracking and understanding malicious activity, and opens up the potential for greater privacy regulations. 

Join us in this session as we consider: 
-  Risk vs reward - overcoming AI challenges 
-  The ways in which AI and ML can support data privacy efforts 
-  Is AI the future of data privacy?

Artificial Intelligence and Data Privacy: Enemies to Lovers

Deep learning is taking the world by storm. A facet of machine learning, deep learning simulates the human brain. The advantages of deep learning are vast, from the ability to reduce operational costs to optimising data use. 

In this episode of AI: The Future of Business, we’ll investigate the state of deep learning in 2022, the key trends in this space, and what to expect of deep learning over the next five years as it moves away from being a hot trend, and towards an integral business model. 

Join Ramesh Dontha and guests as we discuss:

-  The use of edge intelligence 
-  The future of deep learning 
-  Industries benefiting from the evolution of deep learning 
-  How deep learning environments can transform the tech landscape 
-  Deep reinforcement learning

Deep Learning in 2022

Hyperautomation is a business-driven approach to rapidly automating IT and business processes, based on individual businesses needs and wants. Leveraging hyperautomation creates an intelligent digital workspace and improves productivity by allowing enterprises to choose which tasks and workflows to automate. It’s these benefits that dubbed hyperautomation as ‘a leading strategic technology trend’, according to Gartner. 

But what does hyperautomation look like at every business level? How can businesses take that first step to begin their hyperautomation journeys, and how can we solve the challenges of hyperatuomation? 

Join us in this session as we discuss: 
-  How hyperautomation works, and where to begin 
-  The challenges you may come across on the path to hyperautomation, and how to overcome them
-  The business benefits of hyperautomation 
-  The differences between hyperautomation and intelligent process automation
-  The value of hyperautomation in the business world today

Hyperautomation for Business Workflows

Staying ahead of trends in the customer experience (CX) space is vitally important. It’s the difference between simply delivering the experience that your customers need vs the experience they want. Integrating AI into your CX, from chatbots to voice recognition, creates a personalised and modern experience. 

With customer expectations high, it’s no longer enough to keep up with trends in the CX, but now necessary to stay one step ahead of trends. But what does this look like today? Where does AI stand in the CX space, and how can we leverage this?

Join us in this session as we discuss: 

-  How to modernise your customer experience with AI
-  Using AI to meet customer needs
-  The future of CX

Improving Customer Experience with AI

60% of senior leadership believe that Digital Transformation (DX) will be critical for business growth in 2022 (PWC). Given this, in what ways will AI and machine learning help to accelerate DX efforts? 

In this month’s instalment of AI: The Future of Business we’ll explore why AI and Digital Transformation should go hand in hand, rather than be considered separate business ventures and the benefits of this on your organisation. 

We’ll also discuss: 
-  Why combining DX with AI improves productivity 
-  If the best approach to DX is a data-first approach
-  The long term benefits of amalgamating AI and DX

Panellists include:
- Sajid Mohamedy, EVP - Growth & Delivery, Nisum 
- George Lawton, Technology News Writer, TechTarget 

AI: The Future of Business is Moderated by Digital Transformation Pro, Ramesh Dontha.

Accelerating Digital Transformation with AI

AI, and its capabilities, are constantly evolving, and with 2023 being the year of ChatGPT and similar, many are concerned over the stability of their careers. 

But in the 39th episode of AI: The Future of Business, we'll be diving into this misconception to show the ways that AI in fact is continuing to create opportunity and growth.  

Join us as we discuss: 
-  The top AI trends from 2023, and what experts expect to see unfold in 2024
-  How to leverage new AI tools to advance your career 
-  How businesses can make the most of AI offerings to improve internal efficiencies
-  And much more!

Is AI Going to Take Your Job?

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Is AI Going to Take Your Job?

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