💼 Enterprise AI is Big Business

Also: Does size matter when it comes to foundational models? Plus: AI could determine next world power.

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Today you need to know:

  • 💼 The enterprise AI market will be worth $64.5bn by 2028.

  • 🌏 AI could determine next global superpowers.

  • ⚖️ Bigger isn't always better in the case of AI models.

  • 🥽 VR with AI can revolutionize human experiences.

  • 🛠️ 5 tools to add to your tech stack.

Plus a lot more! This will only take 5 minutes. Off you go! 🚀

📌 BIG NEWS

Enterprise AI is Big Business

The global enterprise artificial intelligence market is set to reach a whopping USD 64.5 billion by 2028 with a supercharged CAGR of 34.1%.

Why? It's all thanks to the increasing digitization of industries and the need to analyze huge amounts of data.

It's predicted that natural language processing (NLP) will make up more than 58% of total sales by 2028 because of the adoption of virtual support services and increased AI tech investments by industry verticals.

Current big players in the market include Amazon Web Services, IBM, Microsoft, Oracle, Alphabet, and SAP.

North America is expected to lead the pack with a major revenue contribution due to technological advancements and a rise in enterprise AI operations.

📰 MORE AI NEWS

Big AI models are not always better. ⚖️ Larger models may not mimic human reasoning skills. They also cost more and use up more energy. Leaner, more efficient systems are the way forward. (Nature)

Whoever harnesses AI first becomes a world power. 🌏 There’s a current battle for world dominance. AI will likely shape outcomes. Application of AI in military and day-to-day will boost national power. (Business Insider)

AI can help track and mitigate climate change. 🌡️ Climate data sets are enormous. But AI analyzes data quickly. It can help scientists deploy mitigation efforts earlier. (John Hopkins University)

Researchers found two dangerous dataset poisoning attacks. ☠️ Split-view and front-running are corrupting systems. Attackers use fake data to manipulate AI. It costs only $10k to poison mainstream AI systems. (Techxplore)

Telecoms must be ‘AI native.’ ☎️ This means AI as the first thought, not an afterthought. Designing systems to leverage AI in all systems is critical. Adding AI-based components are not enough. (Ericsson)

🛠️ TOOLS

  • Dover Autopilot: Effortless outbound recruiting tool. Finds and emails candidates that match exact job criteria. Personalized outreach and automatic sourcing.

  • SocialBu: Social media management solution. Schedule posts. Interact with followers in one place. Analyze your social media performance.

  • Scalenut: Simplifies SEO content with AI. Includes keyword planning, research, content creation, optimization, and marketing copy. Offers advanced NLP and integrations.

  • EnVsion: Customer interview analyzer. Studies customer conversations from videos. Generates takeaways from interviews. Made for customer-centric teams.

  • Landbot AI: AI-powered chatbot builder. Creates chatbots, no coding required. Provides design templates. Integrates automatically with WhatsApp.

🎙️ FROM PODCASTS (Powered by Deciphr AI)

Lex Fridman Podcast: Tech growth brings risks. Good AIs could save us, but bad tech could doom us. Regulation is crucial. ["Tim Urban: Tribalism, Marxism, Liberalism, Social Justice, and Politics" episode at 00:35:54]

The AI In Business Podcast: AI and VR could revolutionize human experiences. AI could create relaxing VR environments. It could free up our minds. Let AI process large data. So humans can focus on important things. [“Controlling Human Emotions with Immersive AI/VR Experiences with Dr. Srini Pillay” episode at 0:27:59]

Adventures In Machine Learning: Notebooks vs IDEs in ML coding. There are two environments for ML coding. Notebooks or IDEs. Choose notebooks for exploratory data analysis. Then use IDEs to production-ize code. [“Notebooks vs. IDEs With Fabian Jakobs - ML 103” episode at 0:45:49]

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That's it for today! This newsletter was made with the help of AI-driven research. ✌️