Name: Balancing AI to Create a Sustainable Future
Start: 2023-03-28T16:00:00Z
End: 2023-03-28T16:55:16.000Z
Location: BrightTALK
Rating: 4.6

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.


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?

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

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

Natural language processing (NLP) uses AI and machine learning to teach computers to understand language in the same way that humans do. NLP is used in speech recognition, chatbots, and search engines - and is becoming more widely used in industries around the world. The global market for NLP is growing year on year, and is predicted to reach 43 million dollars by 2025 (Statista). 

But how can we leverage NLP today? How mainstream is NLP, and what can we expect in the coming years?

Join Ramesh Dontha and expert panellists as they discuss: 

-  NLP and data analysis 
-  Tools and approaches to NLP 
-  NLP for the enterprise; how to leverage NLP for your business

The Evolution of Natural Language Processing

In the last two years, security teams have witnessed unprecedented challenges and threats. In light of these new risks, AI based tools could be the answer. With the ability to learn and monitor patterns, observe behaviour and detect abnormalities before they harm security posture, this year we will see AI thrive in the security space. 

But what are the challenges we can expect to see when implementing AI into our security? How can we navigate these challenges to leverage “cognitive security”? 

Join us in this session as we discuss: 
-  Why AI is the key to many new security risks
-  What we mean by cognitive security, and how AI can achieve it 
-  AI tools and processes to combat ransomware, breaches and malware

Improve Your Security Posture with AI

In May of 2021, the EU released the Draft AI Regulation; becoming one of the first governmental bodies to issue regulations against AI. It is expected that these regulations will play a similar role to that of GDPR in the data world. 

In this month’s episode of AI: The Future of Business, we’ll be building off our previous discussions around AI and ethics to explore why greater regulations are needed. Are businesses around the world prepared for a shift in the way we develop and use AI? According to McKinsey, most are not, as in 2020 only 30% of respondents reported that they actively addressed compliance risks. 

Join us in this session as we discuss: 
-  Why regulations are needed in AI today
-  The implications of new compliance rules on businesses 
-  How to prepare for the shift to more stringent compliance

AI and Compliance: How To Prepare for Greater Regulations

A new year brings new challenges, new goals, and new beginnings for everyone. This doesn’t stop at AI. 

While AI was once reserved for Sci-Fi, it has quickly made its way into the business world and proved to be pivotal to business processes. Without a doubt, AI is here to stay, and 2022 will continue to secure AI as a business must-have. In fact, this year, companies are predicted to implement and adopt an average of 35 artificial intelligence programs (DZone).

So, what does the next year have in store for AI? From a pivot to hyper automation, AI in IoT, the rise of augmented intelligence, 2022 is definitely bringing a lot to the table for AI and machine learning.

Join us as we discuss: 
-  Some of the key takeaways from 2021, and where we go from here 
-  The top 5 AI and ML trends to look out for in 2022 
-  How to keep up with trends in AI and implement them into your business processes and workflows 
-  And more!

The State of AI in 2022: Trends and Predictions

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

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