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FReE virtual EVENT         13TH mARCH 2024   
10am-3:30pm (GMT)
Key topics covered include: Customer Experience, Decision Intelligence, Generative AI, Machine Learning, Gesture Control, Big Data, Deep Learning, Ethical AI, AIOps, and Augmented Workforces, Intelligent Automation.
1000+
Senior Attendees
20+
EXPERT
SPEAKERS
6+
HOURS
CONTENT
MEET OUR SPEAKERS
anca (1)
Anca Iordanescu
VP Engineering, Stores of the future
Thomas Spiegel (1)
Thomas Spiegel
Group CIO Architecture & Data
Jonathan Bright (1)
Jonathan Bright
Head of AI for Public Services
astha (2)
Dr. Astha PUROHIT
Director
sudhir (1)
SUDHIR TIKU
VP – Singapore Asia Pacific Region
Matt Cosad,
Matt Cosad
Head of Data & Analytics
david-palmer (5)
David Palmer
AI & Web3 Lead,
Nyssa Packard logo (1)
Nyssa Packard
Senior Director, Insights (Research & Data Science)
Stephane Lannuzel l'oreal
Stephane Lannuzel
BeautyTech Program Director
AGENDA highlights

AI World Solutions Summit is a free to attend virtual event taking place on 13th March 2024. Exploring the latest trends, insights and strategies around Customer Experience, Decision Intelligence, Generative AI, Machine Learning, Gesture Control, Big Data, Deep Learning, Ethical AI, AIOps, and Augmented Workforces, Intelligent Automation

11:35 am – 12:05 pm (GMT)
Empowering Tomorrow’s Workforce: Strategies to Bridge the AI Skills Gap
12:45 pm – 13:15 pm (GMT)
Safely Scaling AI while Exploring Ethics, Responsibility, and Governance
13:20 PM – 14:05 PM (GMT)
Panel: Key Trends & Predictions On The Horizon
14:45 pm – 15:15 pm (GMT)
Debate! AI in Business: Should it be feared?
Tickets
Free Virtual Pass
FREE
Click below to book your Free Virtual Pass to access the live and on-demand sessions
AGENDA highlights
10:45 am – 11:30 am | RE-IMAGINING CUSTOMER EXPERIENCE IN THE AGE OF AI & MACHINE LEARNING

In an era shaped by AI and machine learning, the customer experience landscape is changing at an unprecedented rate. This panel discussion delves into the innovative strategies reshaping customer interactions and expectations.

  • How have AI-driven insights enable hyper-personalised experiences, enhancing customer engagement and loyalty.
  • Exploring the ethical considerations surrounding AI deployment and ensuring responsible, empathetic AI-driven interactions.
  • Delving into strategies for businesses to seamlessly integrate AI and machine learning into existing customer experience frameworks, optimising efficiency while maintaining a human touch.
11:35 am – 12:05pm | KEYNOTE PRESENTATION: EMPOWERING TOMORROW’S WORKFORCE – STRATEGIES TO BRIDGE THE AI SKILLS GAP

This keynote focuses on strategies that businesses can put in place to bridge the AI skills gap, empowering individuals and organisations to thrive in an AI-driven future:

  • Understanding the challenges businesses face in terms of the AI skills shortage and the skills essential for success in this dynamic environment.
  • How to empower learning initiatives and what best practices can be implemented to cultivate a culture of continuous learning and upskilling, fostering adaptability and resilience within teams.
  • What solutions should be applied to develop successful frameworks that address skill shortages and facilitate a seamless transition into an AI-centric era?
12:45 PM – 13:15 PM | KEYNOTE PRESENTATION: SAFELY SCALING AI WHILE EXPLORING ETHICS, RESPONSIBILITY, & GOVERNANCE

This keynote will delve into the intricacies of safely scaling AI, navigating the ethical considerations, responsibilities, and governance surrounding its implementation:

  • Understanding the critical balance between AI scalability and ethical implications, along with the need for responsible deployment to mitigate potential risks and societal impact.
  • Exploring frameworks and strategies for ethical AI development and deployment, highlighting the importance of governance structures to ensure accountability and fairness in AI systems.
  • Addressing the evolving landscape of AI regulations and policies and highlighting the challenges and opportunities businesses face across industries.
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