The Future of AI
Crayon Data dives into the opportunities, challenge, and risks for enterprises in the New Age of AI.
Still wondering what's Enterprise AI? Check this out
Still wondering what's Enterprise AI? Check this out
Imagine a world where AI augments human creativity, and empowers us to live and work with unparalleled efficiency and intuition
Sounds like a pipe dream? In reality, that future is not too far off.
In the past decade alone, AI technology has improved by leaps and bounds. AI is beginning to surpass human benchmarks for language and image recognition.
The industry is only set to enjoy more explosive growth, with a market size projection of $1.8 trillion by 2030.
So how can enterprises position themselves effectively to ride the waves of change, while mitigating any risks?
The industry is only set to enjoy more explosive growth, with a market size projection of $1.8 trillion by 2030.
So how can enterprises position themselves effectively to ride the waves of change, while mitigating any risks?
Here Are Crayon Data’s Top Picks For The Future Of AI
(P.S, with over 10 years of experience in AI and Big Data, we think we’re pretty confident)
Top Trends
Agentic AI
Agentic AI refers to autonomous systems that can perform tasks, make decisions, and learn continuously on behalf of users. It promises to reshape industries like customer service, finance, and supply chain management.
AI Marketplaces
With the explosion of AI models, agents, and use cases, AI Marketplaces are emerging as an exciting solution to connect buyers and builders. These platforms can foster collaboration, accelerate innovation, and increase accessibility & adoption of advanced AI technologies.
Small Language Models
Smaller and more efficient AI models are being optimized to run on devices with limited computational resources. These compact models provide real-time capabilities for applications like voice assistants, while improving affordability and accessibility for a larger market
Domain GPTs
Domain-specific GPTs are language models that can be fine-tuned to excel in specialized areas such as law, medicine, or finance. By focusing on niche knowledge, these models provide highly accurate and relevant insights in their respective fields, at a fraction of the cost and time.
Robotics
AI-powered robotics is enhancing automation in industries from manufacturing to healthcare, allowing machines to perform complex tasks with greater precision, adaptability, and safety.
Personalization
AI is revolutionizing user experiences by tailoring content, services, and recommendations to individual preferences in real-time. This leads to more engaging, relevant, and effective interactions across digital platforms.
What Does This Mean For Enterprises?
Enterprises have major advantages in an AI-first world…
Data is the new Oil. And enterprises have A LOT of it
A highly skilled, data literate, and AI native workforce
Existing architecture is secure and scalable
Domain expertise and use cases ripe for AI application
…but also face major risks
Enterprise data is messy, fragmented, and not AI-ready
Hallucinatory AI poses greater risks for enterprises
Higher regulatory standards for compliance, data security, and privacy etc
Stiff competition for the best AI talent
How Can Enterprises Succeed In
An AI-First World?
Enterprises need a clear AI Operating Model for Success. This consists of:
01
Scalable toolkits for AI change management
02
Automated transformation of Big Data to be AI-ready
03
Standardized frameworks for AI development, deployment, and governance
04
Business-friendly processes for AI model lifecycle management
05
Measurable ROI tracking framework
Crayon Data Can Help Enterprises Bridge The Gap
Between Vision And Execution
Leverage Crayon Data’s deep expertise in external data and enterprise AI to future-proof your business!
Get Started Today
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