AI Magazine’s Covers 2024: Wrapping up the Year's Insights
This year has been a dynamic one in the enterprise AI field, with notable developments shaping its future.
The rise of Agentic AI has gained momentum, helping businesses optimise processes and enhance decision-making capabilities. Alongside this, the release of new models like Llama 3.1 has pushed the boundaries of AI's potential, offering more advanced solutions for enterprises.
In parallel, significant regulatory changes are unfolding, such as the EU’s AI Act, which has now been signed into law, setting a new standard for AI governance. Conversations around sovereign AI are also intensifying, with nations focusing on developing AI systems that align with their own strategic interests.
Together, these shifts are creating a rapidly evolving landscape for AI in the enterprise sector. With so much going on, we take a look at AI Magazine's year of covers so you can get up to speed on what were 2024's hottest topics so you can be prepared for the year ahead.
March
AI has burst onto the scene, and although it has generated a lot of excitment, the dust has now settled long enough for experts to begin seeing how its use raises new challenges in data privacy and keeping data safe.
May
hardware is revolutionising how the likes of Tesla, Google and Amazon solve problems. Equally, Gen AI is effecting cybersecurity, and we hear about it in an exclusive interview with Gaurav Pathak, Vice President of Product Management at Informatica. The piece also explore how organisations can overcome AI challenges with data chunking and RAG, and shine a spotlight on the Top 10 sustainable AI companies.
July
This issue delves into one of the most critical aspects of the AI revolution: the ethical implementation of AI. As global conversations shift towards responsible AI development, we also examine how businesses can implement ethical frameworks that protect their workforce, maintain customer trust and navigate the evolving AI regulatory landscape
September
Gen AI in the cloud brings with it multiple benefits. Indeed, it is one of the ways most businesses use AI. However, the challenges it faces is one of scale. As companies grow their use of AI, how they effectively scale their Gen AI systems whilst still keeping a handle on cost.
November
The last issue of 2024 looks at AI's use in the financial sector. Although AI has many uses, it has struggled to deal with data, transparency and explainability issues that sometimes pose hurdles when implementing the technology in more regulated sectors. Yet, Microsoft talk us through ways financial providers can be empowered to embrace AI and adhere to regulations.
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