Enterprise AI

Chairpersons welcome and opening remarks. 

• Back to basics of edge AI 
• Market of edge AI disrupting industries  
• Future predictions of disruptions 
• Ethical and unethical aspects 

Combining “artificial intelligence” and “edge” brings a unique set of challenges. Both of these individual solution areas have a broad spectrum of compute and deployment requirements that get even more complex based on the use case, implementation details, and budgets.  And when you combine the two into actual Edge AI, the challenges can seem insurmountable.  A large AI model that runs as desired on a GPU in the cloud may not be feasible for use on a compute-restrained device at the edge. So how do you build a 360-degree strategy for AI at the edge?  Join ML expert Damian Bogunowicz from Neural Magic as he illustrates the power of software-delivered AI to: 

1. Optimize AI workloads for use everywhere – across edge, private data center, and cloud deployments 
2. Build faster and more efficient AI solutions on commodity and edge hardware
3. Deliver flexibility and operational simplicity across all of your business solutions 

• The transformative potential of AI in law enforcement: an overview of the global landscape of police use of AI 
• Understanding the risks to human rights and rule of law principles, considering the unique characteristics and challenges of the law enforcement setting 
• The role of international sector-specific guidance: introducing UNICRI and INTERPOL’s Toolkit for Responsible AI Innovation in Law Enforcement 

• Model Risk Management at ING 
• What we do as model validation 
• Solution and Dilemma of KYC/ Fraud model validation 
• Case Study: Using AI to challenge traditional rule base systems 
• Future of KYC and Fraud 

• Sophisticated decision making through AI, how to eliminate the bias. 
• Learning from past mistakes – discussing the different approaches and concerns industries need to consider when tackling issues like privacy, surveillance and discrimination.  
• The role of responsible AI in aiding the ethical AI journey. 
• The need for governance and regulation in industry standards – where we are vs where we need to be and the laws around AI. 

We will demonstrate how AI can be utilized to unlock untapped potential, foster innovation, and build long-lasting customer relationships. 

Under the theme of “humAnIty,” we will explore how AI can be harnessed in ways that prioritize human values and enhance the human experience. During this session, we will introduce our revolutionary AI Framework, which forms the backbone of our approach. Built upon principles of ethics, transparency, and responsible AI development, this framework empowers businesses to leverage artificial intelligence to better understand and serve their customers.  

Through captivating business cases, we will showcase how our AI Framework has driven tangible results across diverse industries, from personalized customer experiences to advanced analytics and decision-making.

Privacy-Enhancing Technologies (PETs) are revolutionizing Machine Learning and AI, unlocking unprecedented use cases across industries that enable a new horizon in computations.

• Harnessing “Encryption-in-Use” for access to cross-border and confidential training data as well as privacy-preserving scoring

• Unlock the value of your data by providing privacy-preserving access to data without ever revealing the confidential inputs

• Bridging the Privacy-Utility Gap: PETs’ role in ensuring data protection while maximizing its utility.

• The Future of Boundless Data: Envisioning a world where access constraints to data are a relic of the past, and privacy-preserving analytics is centric to our world.

To follow soon …

In the era of digital transformation, businesses are grappling with an explosion of data types and
volumes. Yet, the promise of data-driven insights by AI remains elusive for many, as data remains
siloed, multiple database technologies complicate the landscape, and high total cost of ownership
(TCO) often outweighs the benefits. Concurrently, the promise of large language models and
generative AI is reshaping our understanding of data analysis and prediction.
In this keynote, we will explore how a modern multi-model database approach addresses today’s
data management challenges head-on:

• Converging operational and analytical data in any kind of format plus providing business context in vectors provides the foundation for AI-driven real-time insights, no matter which data you need to process and analyze.
• Why a wide range of data types needs to accessible via standard SQL – from relational, JSON documents, timeseries, geospatial, over full-text search to vector search.
• We will delve into how this approach can streamline development, reduce TCO, and ultimately, enable businesses to unlock the full potential of their data.

• Creating a holistic strategy that includes AI, BI, ML and other disruptive technology processes and capabilities.  
• A shift towards simplifying the vendor landscape to limit the overlap here – focusing on gaps in the market and MVP (minimum value products).  
• Building partnerships across solutions and sectors as the key to an optimised eco-system.  

We embark on an exciting exploration of how AI/ML revolutionizes the customer experience at IKEA’s online channels. In this talk we will discuss:  

•   Recommendation engines empowered by AI/ML across IKEA’s digital channels 
• How we seamlessly connect customers with personalized products and content. 
• Steering technique to strike a balance between relevance and business objectives.  
• Scaling relevant and personalized recommendations for the many 

L is for Language – Translation as the key to understanding our globalised world. 

LLMs are what you feed them – Leveraging immutable, multilingual data. 

Knowledge Harvesting – Multilingual data + LLMs = data-driven decision making. 

The Enterprise Continuity team at Netflix has developed a continuity program methodology that allows organizational leadership to understand the health of their company in real time. The program is adaptive and can be used for security, resilience, continuity, and disaster recovery programs. The presentation will present the continuity program methodology along with the quantitative metrics used to monitor and track the resilience of assets that support business and technology activities.     

View day 2 content here:

• Optimised Data & Analytics
• Transformational AI
• Human-Centred Approaches to DTX