IKASI News

Every level of AI—from a helpful assistant to full autonomy—has its place in various scenarios. What truly matters is the thoughtfulness behind its application and aligning the level of risks involved. Dive into IKASI CEO, Anthony Chong’s insights published in Predictive AI and remember: trust and guidance are the secret sauce to unlocking AI’s full potential while minimizing risks along the way.

Reinforcement Learning (RL) in machine learning rewards desirable behaviors within specific environments, fostering iterative, continuous learning and decision-making. RL’s adaptability and iterative approach make it invaluable. Understanding how RL assesses and prioritizes actions offer insights into its diverse applications across sectors, aiding businesses in achieving their specific goals. Read how RL can be leveraged in real-world scenarios such as robotics, self-driving cars, retail, and more.

Personalization matters, and businesses thrive when customers feel special. AI revolutionizes this by understanding individual preferences on a mass scale. With AI, businesses can tailor experiences by understanding individual behaviors beyond demographics. It outperforms traditional market segmentation, pinpointing specific customer preferences and predicting behaviors. It crafts personalized offers and experiences autonomously, continuously learning and evolving without explicit programming. Read how the use of AI in casino marketing is helping to uplevel customer satisfaaction, increase spending, and enhance player lifetime value.

Business Intelligence (BI) tools, once hailed for their insights, are proving insufficient in understanding individual customer complexities. While BI offered generalized insights based on aggregated data, it struggled to capture the diverse behaviors of individual customers, often leading to misleading conclusions. We’ve entered an era where modern solutions revolutionize customer analysis. Read how this shift from group insights to personalized experiences marks a significant leap in customer understanding, guiding businesses towards a more responsive and tailored approach for each unique individual.

Generative AIs like ChatGPT and Bard are amazing at creating content from minimal prompts but struggle with accuracy, limiting their practical use in solving business problems. Similar excitement over AI’s potential has happened before in history, leading to subsequent disappointments called ‘AI Winters,’ where expectations didn’t meet reality. Learn why alternative AI technologies like causal AI, understanding cause-and-effect relationships, and online learning that adapts in real-time based on conditions, are essential. Read Anthony’s article in Enterprise AI now.

Customers today expect personalized engagement from the brands they interact with, with over 70% expecting tailored outreach. Leveraging AI technology, particularly machine learning, enables companies to understand individual behaviors and preferences, empowering them to deliver precisely targeted messages and offerings at the right moment. The ‘Segment of One’ concept, driven by AI, moves beyond traditional market segmentation, providing hyper-personalized experiences for each unique customer. AI-driven systems not only identify personalized product recommendations but continuously improve through machine learning, ensuring a deeper level of engagement with customers.…

Delve into the future of AI in customer engagement from Joe Hall (co-founder and co-CEO of Gift&Go), Rasmus Kjaergaard (CEO of Mindway AI), Mridula Saini (CRO at IKASI), and Olga Ivanchik (Head of WebStudio for Softswiss). Industry leaders discuss cutting-edge insights on how AI reshapes personalized experiences, transforms market strategies, and unlocks higher customer satisfaction. Discover the secrets behind leveraging AI for tailored interactions and explore the evolving landscape where customer desires meet innovative technology. Glean an insight or few from this roundtable discussion.