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5 AI Trends on the Horizon for 2024

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Without a doubt, 2023 has proven to be the year for artificial intelligence (AI), and the upcoming year, 2024, is expected to follow suit.

According to Forrester’s data, 2024 is set to be another significant year for AI, bringing about what we can call “intentional AI.” This means AI is moving away from mere experimentation and gimmicks, focusing instead on purposeful applications. Evidence of this shift is apparent in Forrester’s July 2023 AI Pulse Survey, which shows that 67% of businesses are actively incorporating genAI (AI technology) into their broader AI strategies.

In summary, 2023 has laid the foundation for AI’s continued growth, and 2024 promises to be a year where AI becomes more purposeful and integral to businesses.

Let me now share the five trends that we at InclusionCloud predict will dominate the AI landscape in 2024 and beyond.

 

Trend 1: AI Changing Jobs Forever

Is AI ready to take over all human jobs? It’s a widespread concern, but let’s check whether there’s any truth behind it. While AI undoubtedly excels in certain areas, it falls short of matching human creativity and nuanced thinking in others. This distinction becomes evident when we dissect AI systems into two categories: open and closed. Open systems, characterized by external variables that remain beyond the machine’s control, are prone to unpredictability. For example,autonomous cars where another driver could unexpectedly cross a red light. On the contrary, closed AI systems, operating within controlled environments, exhibit remarkable efficiency, as seen in AI-powered chess software where the machine knows all potential moves.

However, within this context of AI’s transformative potential, real-world collaborations between humans and AI underscore a different narrative. In healthcare, AI-powered diagnostics equip doctors with faster and more accurate insights, ultimately improving patient care. Similarly, the manufacturing sector showcases seamless collaboration between AI-powered robots and human workers, resulting in heightened productivity and superior quality control. As I often emphasize, this collaborative approach shows that AI’s role is not in displacing jobs but in enriching them.

 

Trend 2: Who Is in Charge? The Year of AI Laws

The rapid proliferation of AI has inevitably captured the attention of governments worldwide. Striking a delicate balance between fostering AI innovation and safeguarding public interests is the central challenge. In 2024, laws and regulations will be indispensable for deciding the worldwide trajectory of AI.

We’re now finding ourselves at an intersection where robust AI regulations aren’t just a choice, but actually imperative if we are to continue to move forward. It’s about ensuring responsible AI deployment without stifling innovation. Various industries, including the autonomous vehicle sector, grapple with complex regulatory questions. The adoption of AI ethics frameworks, as exemplified by initiatives such as the European Union’s, will delineate the boundaries of responsible AI implementation.

 

Trend 3: The Growing Impact of AI on Creative Work

The amalgamation of AI and human creativity ushers in an exciting new era of innovation. AI-generated “hallucinations” are not mere glitches but powerful catalysts that inspire fresh perspectives and serve as creative brainstorming tools. However, as we navigate this creative frontier, ethical considerations take center stage.

In the entertainment industry, AI algorithms meticulously analyze viewer preferences to offer highly personalized content recommendations, enhancing the user experience. In design and art, AI collaborates with human creatives, suggesting novel ideas and even autonomously producing art. I believe that AI amplifies human creativity, but it is vital to establish ethical guidelines to navigate this exciting yet delicate collaboration.

 

Trend 4: AI Models Learning from Synthetic Data

The effectiveness of AI models is determined on the quality and quantity of training data available. This brings us to the debated subject of synthetic data, which has the potential to replace real-world data in a wide range of industries. For instance, in the insurance sector, synthetic data has emerged as a valuable tool for simulating complex risk scenarios, enabling insurance companies to refine their risk assessment models and streamline underwriting processes.

We see synthetic data as a means to democratize AI development, making it accessible across various sectors. However, ensuring its reliability through strict testing and validation is key.

 

Trend 5: Supercomputers for Super AI

AI’s continual development and sophistication needs unparalleled processing power. As AI models get increasingly complex, cutting-edge hardware developments become critical. From banking to scientific research, industries largely reliant on AI are spending considerably in infrastructure capabilities to support these emerging models.

Supercomputers are the backbone of AI’s future, enabling the training of massive models and unlocking new frontiers of possibility. Quantum computing, in particular, has the ability to tackle complicated problems at unprecedented rates. According to IBM, this innovative technique has the potential to transform sectors such as medicine research and climate modeling.

 

Conclusion

As we venture into 2024, the AI landscape promises a captivating narrative of change and innovation. These five trends encapsulate the profound impact of AI on our lives and industries. It’s a future where AI serves as an enhancement rather than a replacement, a future where navigating evolving regulations, fostering creative collaboration, exploring the potential of synthetic data, and investing in cutting-edge infrastructure are the guiding principles.

 

As the CRO of Inclusion Cloud, Nick Baca-Storni leverages his extensive industry experience to spearhead digital transformation initiatives, building strategic partnerships with tech giants such as Google, Salesforce, AWS, Oracle, and ServiceNow.

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EveryMatrix launches Bonus Guardian to stamp out bonus abuse with AI precision

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EveryMatrix has launched Bonus Guardian, a next-generation AI-powered tool designed to help iGaming operators identify and prevent bonus abuse – one of the industry’s most damaging and rapidly-evolving fraud types.

Developed as part of EveryMatrix’s BonusEngine and EngageSuite stack, Bonus Guardian allows operators to maximise ROI on marketing spend by detecting fraudulent player behaviour before it impacts margins.

The solution uses AI and machine learning to continuously analyse player activity, adapt to new abuse tactics, and apply role-based responses such as bonus exclusion and withdrawal holds.

This ensures legitimate players continue to enjoy a seamless experience without restrictions and limitations, while abusers are stopped in their tracks.

Bonus abuse accounts for more than 63% of all detected fraud according to recent industry data. Fraudsters are increasingly using AI, automation, and synthetic identities to exploit promotional offers, while traditional, rule-based systems have struggled to keep pace.

Operators must also maintain friction-free onboarding and engaging rewards to stay competitive.

Bonus Guardian addresses this directly, offering a context-aware solution that can be integrated with operators’ systems, such as payment processing and player account. Unlike generic anti-fraud platforms, it is designed specifically for bonus abuse scenarios.

It continuously learns from real-time player data, reducing manual workload and false positives, helping operators:

  • Prevent revenue loss by flagging and stopping bonus abuse early
  • Improve segmentation accuracy and player lifetime value
  • Reduce operational friction with intelligent, role-based fraud controls
  • Futureproof operations against evolving fraud mechanisms such as deepfakes, AI-generated accounts, and coordinated abuse rings

Stian Enger, Head of Casino, EveryMatrix, said: “Everyone in iGaming knows about the battle between fraudsters and anti-fraud prevention tools. Each side wants to get ahead of the other, but with Bonus Guardian, we strongly believe we have a definite edge.

“Bonus Guardian is not just another fraud filter. It is a living shield that adapts to everything that is thrown at it thanks to the power of AI.”

The post EveryMatrix launches Bonus Guardian to stamp out bonus abuse with AI precision appeared first on European Gaming Industry News.

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Movers and Shakers – From Data to Decisions: What It Really Takes to Make AI Work in iGaming

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“Movers and Shakers” is a dynamic monthly column dedicated to exploring the latest trends, developments, and influential voices in the iGaming industry. Powered by GameOn and supported by HIPTHER, this op-ed series delves into the key players, emerging technologies, and regulatory changes shaping the future of online gaming. Each month, industry experts offer their insights and perspectives, providing readers with in-depth analysis and thought-provoking commentary on what’s driving the iGaming world forward. Whether you’re a seasoned professional or new to the scene, “Movers and Shakers” is your go-to source for staying ahead in the rapidly evolving iGaming landscape. 

 

By Claudia Heiling, Co-Founder & COO, Golden Whale

For years, iGaming has considered itself a data-driven industry. We’ve all spent time refining segmentation, optimising CRM journeys, mapping behavioural signals, and building increasingly complex player models. And with machine learning now widely available, whether bought, built, or borrowed, it would be reasonable to assume that the industry is already fully realising the benefits of AI.

But speak to most operators, product teams, or data leads and you’ll hear a different story.

There are models running somewhere – and usually several. There are predictions being generated. There are dashboards, reports, and insights circulating. Yet the business impact often feels inconsistent. Some initiatives deliver a clear uplift; others stall or never make it past a proof-of-concept stage. Projects that shine in testing environments don’t always translate into live, reliable operations.

The issue is rarely the model. And it’s rarely the data team. The gap is operational.

It’s one thing to build machine learning models. It’s another to make them function as part of the daily working rhythm of an iGaming business.

The operators and providers seeing the strongest and most reliable gains are the ones who treat AI not as an experiment, but as a capability: something that must be designed, deployed, monitored, re-trained, and continuously improved. This is closer to how we already treat core game operations, promotional systems, risk tooling, or CRM orchestration. It’s iterative, structured and ongoing.

In practice, that means building the frameworks around the models, not just the models themselves. Continuous data flows. Automated re-training. Real-time deployment pipelines. Feedback loops that allow systems to learn not just once, but constantly. When we work with iGaming clients who have embraced this operational mindset and leverage our ready-to-deploy MLOps system built for iGaming, the impact becomes both compounding and predictable.

The other shift happening is cultural. There has been a lingering expectation in some corners of the industry that AI will replace manual decision-making entirely and that it will “take over” processes like CRM optimisation, fraud detection, or product adjustment.

That’s neither realistic nor particularly desirable.

iGaming is too contextual, too human, too dependent on craftmanship and intuition.
The real value of AI is in augmentation: giving teams better visibility, faster feedback, and stronger evidence on which to base decisions.

In organisations where this mindset has taken hold, you see a different dynamic.
CRM teams run more experiments, more often, because they aren’t spending time rebuilding segments from scratch. Analysts spend less time on manual spreadsheet simulation and more on strategic exploration. Live-ops managers can respond to player behaviour as it changes, not after the weekly report comes in.

AI becomes the layer that enhances judgement, rather than replaces it.

And when AI is integrated technically and culturally, the commercial outcomes are hard to ignore. In setups where continuous learning pipelines are properly established and aligned with live operations, we’ve seen engagement and retention metrics improve dramatically and sustainably, with activity and revenues rising by 100–200%, while bonus and incentive costs drop by 20%+, driving growth and both securing and expanding market share. Operational teams benefit too, with workflows becoming smoother and less manual because the system is handling the constant data processing and iteration.

The improvements don’t come from having more complex algorithms. They come from having a structure that allows those algorithms to perform reliably, adapt to change, and keep learning over time.

This is where the conversation about AI in iGaming is quietly changing.

It’s no longer dominated by model performance or dataset scale, rather it is focused on repeatability, reliability and learning speed.

The distinction matters because it separates having AI, from running AI.

And the operators and providers who get this right aren’t just improving performance in the short term. They are building organisational momentum, a capability that compounds over time and is very difficult to replicate quickly.

In a sector defined by tight margins, competition and rapidly shifting player expectations, that advantage is significant.

So, if there is a “next step” in the industry’s AI journey, it’s not a more complex algorithm. It’s not a bigger data pool. And it’s not a new suite of predictive dashboards.

It’s the ability to learn continuously, responsibly and at scale.

Because in iGaming, as in intelligence, data alone doesn’t win. What wins is the ability to turn learning into action again and again.

The post Movers and Shakers – From Data to Decisions: What It Really Takes to Make AI Work in iGaming appeared first on European Gaming Industry News.

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Xtremepush’s CRM Services Integrated into EveryMatrix Platform

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EveryMatrix global customers now equipped with seamless access to award-winning loyalty and gamification offering

Xtremepush, the leading provider of CRM and loyalty marketing powered by AI, has announced its latest tier one partnership, having agreed a deal to provide acclaimed igaming provider EveryMatrix with its award-winning CRM and loyalty marketing services.

EveryMatrix, leveraging Xtremepush’s varied product suite, will now be able to offer its customers real-time, hyper-personalised CRM and gamification capabilities via its proprietary platform, helping them to drive engagement, increase loyalty, and maximise the lifetime value of all player types in a seamless manner.

Xtremepush leads the market in its unified, holistic approach to data collection, with its Single Customer View built to extract data from all sources in true real-time, providing an individual view of players to deliver a higher standard of omni-channel personalisation and messaging. Coupled with a gamification engine and AI-powered automation and data insights, operators will be able to leverage these revenue-driving tools via their existing integration with EveryMatrix.

Tommy Kearns, CEO and co-founder at Xtremepush, said of the partnership: “EveryMatrix has built a well-earned reputation for being a provider of best-in-class sports betting and gaming solutions for its operator partners, and we’re pleased to bolster their software and services with our first-rate CRM and loyalty solutions.

“Regulated markets are hugely competitive and Xtremepush has proven its worth in optimising and scaling customer’s loyalty engines and processes in these environments to realise greater engagement and ensure maximum lifetime value of players. We’re very confident that we’ll showcase this once again with EveryMatrix, via its clients, and to make them another customer for life.”

Kevin Furlong, Chief Product Officer, EveryMatrix, said: “Alongside our advanced turnkey platform technologies we have always partnered with best-in-class third-party suppliers such as Xtremepush providing added value to our customers.

“Combining our market-leading gaming infrastructure with Xtremepush’s powerful CRM technology will enable our customers to better understand their players, offer them even more personalised experiences and boost loyalty levels to name just a few benefits.”

Following a successful launch phase with EveryMatrix, Xtremepush will make additional services available to the supplier, including its Agentic AI, which will supercharge marketing processes with intent and iteration, allowing related teams to focus on broader strategy and value-driven projects.

The post Xtremepush’s CRM Services Integrated into EveryMatrix Platform appeared first on European Gaming Industry News.

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